CN111829559B - Method for realizing multi-parameter measurement of PT symmetrical LC passive wireless sensing system - Google Patents
Method for realizing multi-parameter measurement of PT symmetrical LC passive wireless sensing system Download PDFInfo
- Publication number
- CN111829559B CN111829559B CN202010589758.9A CN202010589758A CN111829559B CN 111829559 B CN111829559 B CN 111829559B CN 202010589758 A CN202010589758 A CN 202010589758A CN 111829559 B CN111829559 B CN 111829559B
- Authority
- CN
- China
- Prior art keywords
- circuit
- sensor
- passive wireless
- electric capacity
- resistance
- 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.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D5/00—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable
- G01D5/12—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable using electric or magnetic means
- G01D5/243—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable using electric or magnetic means influencing the phase or frequency of ac
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention discloses a method for realizing multi-parameter measurement of a PT symmetrical LC passive wireless sensing system, and belongs to the technical field of measurement and testing. The system comprises an LC passive wireless sensor and a reading circuit which is in wireless connection with the LC passive wireless sensor through a coupling inductor, and the capacitance, inductance and resistance of a detection circuit and an LC passive wireless sensor circuit are designed, so that the resonance frequency of the detection circuit and the LC passive wireless sensor circuit is equal, the gain and loss of the system are also equal, and the PT symmetry is met. The method for realizing multi-parameter measurement based on the PT symmetrical LC passive wireless sensing system enables the sensor to be used as a single resonant circuit, and can realize measurement of multiple parameters through impedance phase frequency scanning.
Description
Technical Field
The invention relates to a wireless passive sensing system technology, in particular to a method for realizing multi-parameter measurement of a PT symmetrical LC passive wireless sensing system, and belongs to the technical field of measurement and testing.
Background
The development of wireless sensor networks and the Internet of things puts new requirements on sensors, namely, one sensor node can measure a plurality of parameters to realize the multi-functionalization of the sensor node. The simplest way to implement multiparameter detection of LC passive wireless Sensors is in the form of a sensor Array (Sensors Array), in which the resonant frequencies of each LC sensor loop are spaced apart and avoid electromagnetic interference with each other. Obviously, the area of the device of the multi-parameter measurement system realized by the array form is multiplied, and the multi-layer metal process can realize the vertical superposition of a plurality of LC loops, thereby saving the area of the device, but the inductive coupling in the LC sensor makes the situation complicated, the mutual influence among the resonant frequencies of the LC loops makes the circuit analysis complicated, and the measurement frequency is inaccurate.
The traditional sensing system only calibrates the sensor parameters according to the measured value of the resonant frequency, and is one of the main reasons for preventing the multi-functionalization of the sensing node. The reason is that no matter the LC sensor comprises a plurality of sensitive inductors or sensitive capacitors, the LC loop finally becomes an equivalent LC series structure due to mutual inductance coupling or combination of equivalent capacitors, and the resonant frequency peak of the LC loop is only one, so that the change of each sensitive inductor and each sensitive capacitor cannot be reflected. From the root, from the mathematical point of view, the expression about the resonant frequency has only one equation, and a plurality of unknowns (i.e. a plurality of sensitive inductances and sensitive capacitances) cannot be solved.
At present, a common method for solving the problem that the conventional sensing system cannot measure the parameter of each sensitive device is as follows: the inductance is made of temperature sensitive materials, the parasitic resistance of the inductance is used as one of the sensitive modes, the sensitive capacitance is used as the other sensitive mode, so that double-parameter measurement is carried out, the resonant frequency and the Q value/input impedance of the LC sensor are measured simultaneously, two equations can be obtained, and two sensitive quantities can be solved. This method is limited to two-parameter measurements and cannot be extended to three and more parameter measurements.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a method for realizing multi-parameter measurement of a PT symmetrical LC passive wireless sensor system. The capacitance value and the inductance value of the detection circuit and the LC passive wireless sensor circuit are equal through design, so that the resonance frequency of the detection circuit and the resonance frequency of the LC passive wireless sensor circuit are the same; the resistance values are opposite numbers, so the system gain and the loss are equal, and the PT symmetry is satisfied. The PT symmetrical LC passive wireless sensing system provided by the invention enables the sensor to be used as a single resonant circuit, and 3 parameters can be measured by only measuring the resonant frequency through impedance phase frequency scanning. The technical problem that the resonance frequency and the Q value/input impedance of the LC sensor are measured simultaneously and the measurement for two parameters cannot be expanded to three or more parameters is solved.
The invention adopts the following technical scheme for realizing the aim of the invention:
a method for realizing multi-parameter measurement of a PT symmetrical LC passive wireless sensor system is realized by adopting a system comprising a reading circuit and an LC passive wireless sensor circuit, wherein the reading circuit and the LC passive wireless sensor circuit are in strong coupling wireless connection through inductive magnetic resonance.
The LC passive wireless sensor circuit comprises a first inductance coil, a sensitive resistor and a sensitive capacitor, wherein one end of the first inductance coil is connected with one end of the sensitive resistor, the other end of the sensitive resistor is connected with one pole of the sensitive capacitor, and the other pole of the sensitive capacitor is connected with the other end of the first inductance coil.
The readout circuit includes: the vector network analysis module comprises a second inductance coil, an adjustable resistor, an adjustable capacitance module and a vector network analysis module, wherein one end of the second inductance coil is connected with one end of the adjustable resistor, the other end of the adjustable resistor is connected with one input terminal of the vector network analysis module, the other input terminal of the vector network analysis module is connected with one end of the adjustable capacitance module, and the other end of the adjustable capacitance module is connected with the other end of the first inductance coil. The adjustable capacitance module includes: the direct current isolation device comprises a variable capacitance diode, a direct current voltage source, an alternating resistance, a first direct current isolation capacitor, a second direct current isolation capacitor, the variable capacitance diode, the direct current voltage source, the alternating resistance, the first direct current isolation capacitor and the second direct current isolation capacitor, wherein one end of the second direct current isolation capacitor is connected with a vector network analysis module, the other end of the second direct current isolation capacitor is connected with the negative electrode of the variable capacitance diode, the positive electrode of the variable capacitance diode is connected with one end of the first direct current isolation capacitor, the other end of the first direct current isolation capacitor is connected with one end of a second inductance coil, and the negative electrode of the direct current voltage source is in phase with the positive electrode of the variable capacitance diode. And the anode of the direct-current voltage source is connected with one end of the resistance-alternating resistor, and the other end of the resistance-alternating resistor is connected with the cathode of the variable capacitance diode.
The vector network analysis module comprises: the alternating current signal source with the source internal resistance R0 and the source internal resistance,one end of the alternating current signal source is connected with the adjustable capacitance module, the other end of the alternating current signal source is connected with one end of the source internal resistance, and the other end of the source internal resistance is connected with one end of the adjustable resistance. The vector network analysis module and the reading circuit form a closed loop, and when the resistance value of the reading circuit is calculated, the whole vector network analysis module is represented by a negative resistor-R0, so that the total resistance of the reading circuit is the result of the series connection of the negative resistor-R0 and the adjustable resistor. The relationship between the input impedance of the sensing circuit and the sensor impedance is: zin ═ ZReadout circuit+(ω2M2)/ZSensor with a sensor elementZin is the input impedance of the sensing circuit, ZReadout circuitFor sensing circuit impedance, ZSensor with a sensor elementThe impedance of the sensor is shown, omega is the input signal frequency of the reading circuit, and M is the mutual inductance of the LC passive wireless sensing system.
The inductance value of the second inductance coil is the same as that of the first inductance coil, the capacitance value of the adjustable capacitance module is equal to that of the sensitive capacitor, the resistance value of the reading circuit is the opposite number of the resistance value of the sensitive resistor, the resonance frequency of the reading circuit is the same as that of the LC passive wireless sensor circuit, the gain of the reading circuit end is also equal to the loss of the LC passive wireless sensor circuit end, and the whole LC passive wireless sensor system meets PT symmetry.
The method for measuring the multiple parameters comprises the following steps: initializing a system reading circuit, measuring the input impedance phase in the input signal frequency scanning process of the reading circuit, and reversely solving n parameters to be measured by the input signal frequency of the reading circuit corresponding to n zero phases of the input impedance of the reading circuit, wherein n is a positive integer.
By adopting the technical scheme, the invention has the following beneficial effects: the application discloses a method for realizing multi-parameter measurement of a PT symmetrical LC passive wireless sensing system, which enables a sensor to be used as a single resonant circuit, realizes that 3 parameters can be measured only by measuring resonant frequency through impedance phase frequency scanning, avoids mutual influence among resonant frequencies of a plurality of resonant circuits, and overcomes the defect that double-parameter measurement can only be realized by simultaneously measuring the resonant frequency and Q value/input impedance of an LC sensor.
Drawings
Fig. 1 is a block diagram of a structure of a PT symmetric LC passive wireless sensing system according to the present invention.
Fig. 2 is a simplified equivalent circuit diagram of the LC passive wireless sensing system shown in fig. 1.
Fig. 3 is a phase-frequency diagram obtained by testing different humidities by using a PT symmetric LC passive wireless sensing system according to an embodiment of the present invention.
Fig. 4 is a phase-frequency diagram obtained by testing different temperatures by using a PT symmetric LC passive wireless sensing system according to an embodiment of the present invention.
Fig. 5 is a phase-frequency diagram obtained by testing different detection distances by using a PT symmetric LC passive wireless sensing system according to an embodiment of the present invention.
The reference numbers in the figures illustrate: 1. the sensor comprises an LC passive wireless sensor circuit, 2, a reading circuit, 11, a first inductance coil, 12, a sensitive resistor, 13, a sensitive capacitor, 21, a second inductance coil, 22, an adjustable resistor, 23, an adjustable capacitor module, 231, a varactor diode, 232, a direct current voltage source, 233, an AC resistor, 234, a first DC blocking capacitor, 235, a second DC blocking capacitor, 24 and a vector network analysis module.
Detailed Description
The technical scheme of the invention is explained in detail in the following with reference to the attached drawings.
The invention relates to a structural block diagram of a PT symmetrical LC passive wireless sensing system, which is shown in figure 1, and the remote LC passive wireless sensing system comprises: the sensor comprises an LC passive wireless sensor circuit 1 and a readout circuit 2, wherein the LC passive wireless sensor circuit 1 and the readout circuit 2 are in strong coupling wireless connection through inductive magnetic resonance.
The simplified equivalent circuit of the PT symmetric LC passive wireless sensor system according to the present invention is shown in fig. 2, and the LC passive wireless sensor circuit 1 includes: a first inductance coil 11, a sensitive resistor 12 and a sensitive capacitor 13; one end of the first inductance coil 11 is connected to one end of the sensing resistor 12, the other end of the sensing resistor 12 is connected to one end of the sensing capacitor 13, and the other end of the sensing capacitor 13 is connected to the other end of the first inductance coil 11.
As shown in fig. 2, the readout circuit 2 includes: a second inductor coil 21, an adjustable resistor 22, an adjustable capacitor module 23 and a vector network analysis module 24. One end of the second inductance coil 21 is connected to one end of the adjustable resistor 22, the other end of the adjustable resistor 22 is connected to one end of the vector network analysis module 24, the other end of the vector network analysis module 24 is connected to one end of the adjustable capacitance module 23, and the other end of the adjustable capacitance module 23 is connected to the other end of the second inductance coil 21.
Wherein, adjustable capacitance module 23 includes: varactor 231, dc voltage source 232, ac resistance 233, first dc blocking capacitor 234, and second dc blocking capacitor 235. One end of the second blocking capacitor 235 is connected with the vector network analysis module 24, the other end of the second blocking capacitor 235 is connected with the negative electrode of the variable capacitance diode 231, the positive electrode of the variable capacitance diode 231 is connected with one end of the first blocking capacitor 234, and the other end of the first blocking capacitor 234 is connected with one end of the second inductance coil 21; the negative electrode of the dc voltage source 232 is connected to the positive electrode of the varactor 231, the positive electrode of the dc voltage source 232 is connected to one end of the ac resistor 233, and the other end of the ac resistor 233 is connected to the negative electrode of the varactor 231.
The vector network analysis module 24 sends out an excitation signal in the form of a carrier signal, the second inductance coil 21 transmits the excitation signal to the first inductance coil 11 through the inductive magnetic resonance strong coupling, at this time, the energy brought by the carrier signal oscillates back and forth between the first inductance coil 11 and the sensitive capacitor 13, and meanwhile, the sensitive resistor 13 generates energy loss. When the capacitance value of the sensitive capacitor 13 and the resistance value of the sensitive resistor 12 affected by the environment change, the impedance Z of the LC passive wireless sensor circuit 1 changes due to the characteristics. Therefore, the phase of the carrier signal in the LC passive wireless sensor circuit 1 can be modulated by the varying impedance Z, the phase-modulated signal formed by the phase variation is strongly coupled to the second inductor 21 by the first inductor 11 through the inductive magnetic resonance, and the phase variation is analyzed by the vector network analysis module 24 according to the phase-modulated signal.
Input impedance Zin of reading circuit and impedance Z of LC passive wireless sensorSensor with a sensor elementThe relationship of (1) is: zin ═ ZReadout circuit+(ω2M2)/ZSensor with a sensor elementZin is the read circuit inputImpedance, ZReadout circuitFor sensing circuit impedance, ZSensor with a sensor elementAnd omega is the sensor impedance, the input signal frequency of the reading circuit is omega, and M is the mutual inductance of the LC passive wireless sensing system. The method and the device solve the multiple variable parameters by measuring the input signal frequency of the sensing circuit at the multiple zero phases of the input impedance of the sensing circuit.
Tests are carried out by using an LC type temperature and humidity sensor to verify that the method for realizing multi-parameter measurement based on the PT symmetrical LC passive wireless sensing system disclosed by the application. The capacitance value of the sensitive capacitor changes with the change of the environmental humidity, and similarly, the resistance value of the sensitive resistor changes with the change of the environmental temperature, and finally the resonant frequency of the sensor changes. By adopting the multi-parameter measuring method provided by the invention, 3 variable parameters of inductance, capacitance and coupling coefficient (namely detection distance) can be obtained by reversely solving by reading the resonance frequency of 3 zero phases of the input impedance Zin. At a coupling coefficient k of 0.1, the test results in a series of response curves Zin at 5 different humidity points, as shown in fig. 3. Similarly, when the coupling coefficient k is 0.1, the test results in a series of response curves Zin at 5 different temperature points, as shown in fig. 4. Under the condition of constant temperature and humidity, response curves under different detection distances are tested, and are shown in fig. 5. Therefore, the method for realizing multi-parameter measurement based on the PT symmetrical LC passive wireless sensing system provided by the invention realizes that the sensor is used as a single resonant circuit, and 3 parameters can be measured only by measuring the resonant frequency through impedance phase frequency scanning.
The above specific embodiments and embodiments are specific supports for the technical idea of the method for implementing multi-parameter measurement based on the PT symmetric LC passive wireless sensing system provided by the present invention, and the protection scope of the present invention cannot be limited thereby, and any equivalent changes or equivalent modifications made based on the technical idea and the technical scheme provided by the present invention all fall into the scope defined by the technical scheme of the present invention.
Claims (1)
1. A method for realizing multi-parameter measurement of a PT symmetrical LC passive wireless sensing system is characterized in that,
the LC passive wireless sensing system comprises: a sensor which takes a sensitive capacitor and a sensitive resistor as a capacitive device and an inductive device, and a reading circuit; the sensor includes: the circuit comprises a first inductance coil, a sensitive capacitor and a sensitive resistor, wherein one end of the first inductance coil is connected with one pole of the sensitive capacitor, the other pole of the sensitive capacitor is connected with one end of the sensitive resistor, and the other end of the sensitive resistor is connected with the other end of the first inductance coil; the readout circuit includes: second inductance coils, adjustable resistance, adjustable electric capacity module and vector network analysis module, the one end of adjustable resistance is connected to the one end of second inductance coils, and an input terminal of vector network analysis module is connected to the other end of adjustable resistance, and another input terminal of vector network analysis module connects the one end of adjustable electric capacity module, and the other end of second inductance coils is connected to the other end of adjustable electric capacity module, the adjustable electric capacity module includes: varactor, direct current voltage source, hinder the interchange resistance, first direct current blocking electric capacity, second direct current blocking electric capacity, the one end that the second blocked electric capacity links to each other with vector network analysis module, the other end that the second blocked electric capacity links to each other with varactor's negative pole, varactor's positive pole links to each other with first direct current blocking electric capacity's one end, first direct current blocking electric capacity's the other end links to each other with second inductance coil's one end, direct current voltage source's negative pole links to each other with varactor's positive pole, direct current voltage source's positive pole links to each other with the one end of hindering the interchange resistance, hinder the other end of interchange resistance and varactor's negative pole and link to each other, vector network analysis module includes: the device comprises an alternating current signal source and a source internal resistance, wherein one end of the alternating current signal source is connected with an adjustable capacitance module, the other end of the alternating current signal source is connected with one end of the source internal resistance, and the other end of the source internal resistance is connected with one end of an adjustable resistance;
the method specifically comprises the following steps: initializing a system reading circuit, measuring the input impedance phase in the input signal frequency scanning process of the reading circuit, reversely solving n parameters to be measured by the input signal frequency of the reading circuit corresponding to n zero phases of the input impedance of the reading circuit, wherein n is a positive integer, and the relationship between the input impedance of the reading circuit and the impedance of a sensorComprises the following steps: zin = ZReadout circuit+ (ω2 M2)/ZSensor with a sensor elementZin is the input impedance of the sensing circuit, ZReadout circuitFor sensing circuit impedance, ZSensor with a sensor elementThe impedance of the sensor is shown, omega is the input signal frequency of the reading circuit, and M is the mutual inductance of the LC passive wireless sensing system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010589758.9A CN111829559B (en) | 2020-06-24 | 2020-06-24 | Method for realizing multi-parameter measurement of PT symmetrical LC passive wireless sensing system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010589758.9A CN111829559B (en) | 2020-06-24 | 2020-06-24 | Method for realizing multi-parameter measurement of PT symmetrical LC passive wireless sensing system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111829559A CN111829559A (en) | 2020-10-27 |
| CN111829559B true CN111829559B (en) | 2022-07-08 |
Family
ID=72898088
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010589758.9A Active CN111829559B (en) | 2020-06-24 | 2020-06-24 | Method for realizing multi-parameter measurement of PT symmetrical LC passive wireless sensing system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111829559B (en) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113037335B (en) * | 2021-03-12 | 2021-11-23 | 同济大学 | Passive wireless sensing system and method |
| CN112985635B (en) * | 2021-03-17 | 2021-12-21 | 哈尔滨工程大学 | Wireless temperature sensor based on PT symmetry |
| CN113507300B (en) * | 2021-06-21 | 2022-06-14 | 华南理工大学 | Wireless energy-carrying communication system based on autonomous circuit principle |
| CN113627112B (en) * | 2021-08-02 | 2022-11-11 | 东南大学 | Multi-resonance LC circuit decoupling method |
| CN113701789B (en) * | 2021-09-03 | 2022-11-29 | 东南大学 | Passive wireless LC neutral sensor based on negative resistance circuit |
| CN113758505B (en) * | 2021-09-03 | 2022-08-30 | 东南大学 | PT symmetry-based LC passive wireless double-parameter sensing system |
| CN114577856B (en) * | 2022-03-04 | 2023-09-22 | 山西大同大学 | Passive wireless sensor for monitoring coal-gangue mixing proportion based on second-order EP (EP) points |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1965177A1 (en) * | 2007-02-27 | 2008-09-03 | Senstronic, S.A. | Inductive presence or position sensor |
| JP2010045532A (en) * | 2008-08-11 | 2010-02-25 | Panasonic Electric Works Co Ltd | Proximity sensor |
| CN102003973A (en) * | 2010-10-19 | 2011-04-06 | 首都医科大学 | Wireless passive measuring method and circuit |
| CN103471653A (en) * | 2013-09-06 | 2013-12-25 | 中北大学 | High temperature wireless passive three-parameter-integrated sensor based on co-firing ceramic technology |
| CN110426064A (en) * | 2019-07-18 | 2019-11-08 | 东南大学 | Wireless sourceless sensor and wireless and passive method for sensing |
| CN110853318A (en) * | 2019-10-28 | 2020-02-28 | 东南大学 | Remote LC passive wireless sensing system |
| CN111028496A (en) * | 2019-12-10 | 2020-04-17 | 东南大学 | Remote LC passive wireless sensing system with automatic matching working frequency |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| NL279633A (en) * | 1961-06-14 | 1962-06-13 | Stewart-Warner | elektronische koppelketen |
| JP2011166197A (en) * | 2010-02-04 | 2011-08-25 | Sony Corp | Signal transmission circuit, column a/d converter, solid-state imaging element, and camera system |
| CN102223094B (en) * | 2010-04-16 | 2014-04-09 | 通用电气公司 | Power conversion system and LC circuit damping method |
| CN103727964B (en) * | 2013-11-22 | 2016-11-16 | 中北大学 | A kind of mechanics parameter based on LC resonant transducer measures system and measuring method |
| US10571241B2 (en) * | 2013-12-30 | 2020-02-25 | Texas Instruments Incorporated | Resonant inductive sensing with active resonator target |
| CN106643826B (en) * | 2016-11-02 | 2019-02-15 | 中国科学院电子学研究所 | The detection circuit and detection method of LC resonance formula sensor |
| CN108110908B (en) * | 2018-01-23 | 2020-12-29 | 中国矿业大学(北京) | Asymmetric coil magnetic coupling resonance wireless power transmission method |
| CN110530253A (en) * | 2019-08-30 | 2019-12-03 | 西安电子科技大学 | Optimum design method for resistance-type wireless and passive strain transducer measuring circuit |
| CN111245391B (en) * | 2020-01-14 | 2023-05-16 | 东南大学 | Readout circuit and method for realizing automatic impedance matching of LC passive wireless sensing system |
-
2020
- 2020-06-24 CN CN202010589758.9A patent/CN111829559B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1965177A1 (en) * | 2007-02-27 | 2008-09-03 | Senstronic, S.A. | Inductive presence or position sensor |
| JP2010045532A (en) * | 2008-08-11 | 2010-02-25 | Panasonic Electric Works Co Ltd | Proximity sensor |
| CN102003973A (en) * | 2010-10-19 | 2011-04-06 | 首都医科大学 | Wireless passive measuring method and circuit |
| CN103471653A (en) * | 2013-09-06 | 2013-12-25 | 中北大学 | High temperature wireless passive three-parameter-integrated sensor based on co-firing ceramic technology |
| CN110426064A (en) * | 2019-07-18 | 2019-11-08 | 东南大学 | Wireless sourceless sensor and wireless and passive method for sensing |
| CN110853318A (en) * | 2019-10-28 | 2020-02-28 | 东南大学 | Remote LC passive wireless sensing system |
| CN111028496A (en) * | 2019-12-10 | 2020-04-17 | 东南大学 | Remote LC passive wireless sensing system with automatic matching working frequency |
Non-Patent Citations (4)
| Title |
|---|
| High-Order PT-Symmetric Telemetric Sensors with Singularity-Enhanced Sensitivity;Chen, Pai-Yen 等;《2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting》;20190114;全文 * |
| Ultra-remote LC Sensor Based on The Broken PT-Symmetry;Bin-Bin Zhou 等;《2019 IEEE SENSORS》;20200113;全文 * |
| 基于LC无源无线传感的探测方法;董蕾;《中国博士学位论文全文数据库 信息科技辑》;20170915(第9期);全文，尤其是第3-4章 * |
| 磁耦合谐振式无线电能传输技术研究动态与应用展望;黄学良等;《电力系统自动化》;20170125(第02期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111829559A (en) | 2020-10-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111829559B (en) | Method for realizing multi-parameter measurement of PT symmetrical LC passive wireless sensing system | |
| Nopper et al. | Wireless readout of passive LC sensors | |
| CN103278181B (en) | A kind of wireless sensing circuit of passive LC resonator sensor | |
| CN106643826B (en) | The detection circuit and detection method of LC resonance formula sensor | |
| CN110853318B (en) | Long-distance L C passive wireless sensing system | |
| CN103562736B (en) | For sensing the simple of also computational load impedance and the method and system of Wicresoft | |
| CN103512592B (en) | Wireless and passive LC resonant transducer testing circuit and corresponding information getting method | |
| Dong et al. | A passive wireless adaptive repeater for enhancing the readout of LC passive wireless sensors | |
| CN102508034B (en) | Method and device for measuring parameters of micro solid gyroscope equivalent circuit | |
| Liu et al. | RLC parameters measurement and fusion for high-sensitivity inductive sensors | |
| Chattopadhyay et al. | Modification of the Maxwell–Wien bridge for accurate measurement of a process variable by an inductive transducer | |
| Simić et al. | Wireless readout of resistive sensors | |
| CN110426064B (en) | Wireless passive sensor and wireless passive sensing method | |
| Solomentsev et al. | A resonant approach to transformer loss characterization | |
| US4777430A (en) | Circuit for determining the effective series resistance and Q-factor of capacitors | |
| Huang et al. | High power/current inductor loss measurement with improved shunt resistor construction | |
| CN108896131B (en) | Level gauging unit and material level gauge in RF admittance level meter based on temperature-compensating | |
| CN106019072A (en) | Method for measuring lumped parameter of Rogowski coil | |
| Aiken | VHF Near Field Antenna Design for Wireless Sensing Applications in Harsh Environments | |
| Zhang et al. | A passive wireless graphene oxide based humidity sensor and associated portable telemetry unit | |
| Martens et al. | Capacitance measurement with MSP430 microcontrollers | |
| CN113627112B (en) | Multi-resonance LC circuit decoupling method | |
| Marioli et al. | Contactless transmission of measurement information between sensor and conditioning electronics | |
| CN114295645B (en) | Resonant microwave sensor with adjustable working frequency | |
| Cao et al. | Equivalent capacitance model of segmented induction coil in electromagnetic exploration system for deep resources |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |