CN107064473B - Health monitoring method for circular section self-induction intelligent multi-input-output concrete member - Google Patents

Health monitoring method for circular section self-induction intelligent multi-input-output concrete member Download PDF

Info

Publication number
CN107064473B
CN107064473B CN201710418932.1A CN201710418932A CN107064473B CN 107064473 B CN107064473 B CN 107064473B CN 201710418932 A CN201710418932 A CN 201710418932A CN 107064473 B CN107064473 B CN 107064473B
Authority
CN
China
Prior art keywords
microprocessor
sensor
concrete member
program
matrix switch
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
Application number
CN201710418932.1A
Other languages
Chinese (zh)
Other versions
CN107064473A (en
Inventor
李碧雄
莫思特
刘天琪
张军鹏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sichuan University
Original Assignee
Sichuan University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sichuan University filed Critical Sichuan University
Priority to CN201710418932.1A priority Critical patent/CN107064473B/en
Publication of CN107064473A publication Critical patent/CN107064473A/en
Application granted granted Critical
Publication of CN107064473B publication Critical patent/CN107064473B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/38Concrete; ceramics; glass; bricks
    • G01N33/383Concrete, cement
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The invention discloses a health monitoring method for a circular section self-induction intelligent multi-input-output concrete member. Health monitoring is accomplished by measuring equipment that is connected to sensors of the circular cross-section concrete member. The sensors are divided into an external sensor and an internal sensor, and the number of the sensors is determined by experiments. The measuring device is connected to the reinforced concrete member sensor to be measured by a connecting wire. The measuring equipment comprises a control server, a communication interface, a microprocessor, a power divider, a program-controlled attenuator, a signal source, a power amplifier, a signal analyzer, a matrix switch, a switch circuit analog-to-digital converter and a mixer, and the measuring task is completed under the control of a program. The method conforms to the design specification of the existing concrete member, the service life of the self-induction intelligent multiple-input-output sensor is equal to that of the concrete member, and the number of the sensors is set according to the concrete quality requirement. The health condition of the concrete member can be conveniently detected and monitored on line in real time, and the concrete health monitoring instrument is provided.

Description

Health monitoring method for circular section self-induction intelligent multi-input-output concrete member
Technical Field
The invention belongs to building material detection, relates to concrete quality test, and in particular relates to a health monitoring method for a circular section self-induction intelligent multi-input-output concrete member.
Background
The concrete is an important engineering material widely used for house construction, bridge engineering, hydraulic engineering and the like, and the concrete health detection and monitoring instrument is a technical means for ensuring the safe and long-term operation of the concrete. The prediction, forecast and diagnosis of concrete health are one of the main problems that are urgently needed to be overcome in the world today. Regular or real-time health detection and monitoring is required for highways, bridges, dams and other civil constructions. However, the existing concrete quality detection means cannot completely meet the requirements of construction development. With the advancement of technology, the quality problem of concrete is becoming more and more important nowadays, and the quality detection of concrete is being developed and improved.
The patent number ZL201620784210.9 'dielectric constant measuring equipment for intelligent coaxial one-dimensional reinforced concrete member' can monitor the dielectric constant of reinforced concrete in real time, and monitor the health condition of each stage of concrete according to the change of the dielectric constant of the concrete. Patent No. ZL201620782788.0, "equivalent circuit-based one-dimensional coaxial reinforced concrete member measuring equipment", uses the concrete material itself as a sensing material, and measures the health condition of the concrete by measuring a one-dimensional coaxial reinforced concrete equivalent circuit model.
Patent No. ZL201520402418.5 "step tester for one-dimensional concrete health monitoring of reinforced coaxial cable structure" is based on a reinforced coaxial cable model with an inner conductor and an outer conductor, and the inner conductor and the outer conductor are connected to a testing interface of a detecting instrument for testing. When the step tester is used, the inner conductor and the outer conductor at one end of the concrete are connected to the testing interface of the step tester, and the test is performed by a method of reflecting signal time delay. When the vector network analyzer is used, a port of the vector network analyzer is connected to an outer conductor and an inner conductor at one end of the tested concrete, and the test is performed by using a time domain S parameter method. However, the use of a step tester only allows large concrete to be measured, and the use of a vector network analyzer is disadvantageous for real-time on-line monitoring. New techniques are also needed to improve concrete quality detection based on these prior art deficiencies.
Disclosure of Invention
The invention aims to provide a health monitoring method for a circular section self-induction intelligent multi-input-output concrete member, aiming at the defect that the existing concrete member cannot be monitored in real time or the sensor is short in service life and needs to be replaced periodically.
The aim of the invention is achieved in that:
a health monitoring method for a circular section self-induction intelligent multi-input-output concrete member. The health monitoring of the concrete member is accomplished by a measuring device connected to a sensor of the circular cross section concrete member.
According to different positions of the sensors, the sensors on the circular-section concrete member are divided into an external sensor and an internal sensor, and the measuring equipment is connected to the measured circular-section self-induction intelligent multi-input-output reinforced concrete member sensor through a sensing connecting wire; the connector of each sensor is connected with one end of a sensing connecting wire, and the other end of the sensing connecting wire is connected to measuring equipment; the measuring equipment consists of a control server, a communication interface, a microprocessor, a power divider, a program-controlled attenuator, a signal source, a power amplifier, a signal analyzer, a matrix switch, a switch circuit analog-to-digital converter and a mixer.
The setting method of the external sensor comprises the following steps: the design method of the longitudinal bars and the stirrups is the same as the design method of the existing one-dimensional reinforced concrete member, conforms to the existing design specification, and part of stirrups are replaced by external sensors on the basis of the existing one-dimensional reinforced concrete member. Every interval I stirrups set up an external sensor, I is confirmed by the experiment, and external sensor sets up k altogether, and external sensor has the sensing function except that, still has the stirrup function concurrently.
The setting method of the built-in sensor comprises the following steps: the design method of the longitudinal bars and the stirrups is the same as the design method of the existing one-dimensional reinforced concrete member, the existing design specification is complied, on the basis of the existing one-dimensional reinforced concrete member, the built-in sensors are added, the built-in sensors cannot replace the stirrups, the built-in sensors are clung to and bound in the longitudinal bars, p built-in sensors are uniformly arranged in the one-dimensional reinforced concrete member, and the value of p is determined by experiments.
The measuring equipment is provided with more than S switch circuits in total, wherein the S switch circuits are used for measuring, S=k and k are the number of external sensors for the sensor-external round-section self-induction intelligent multi-input-output reinforced concrete member, and S=p and p are the number of internal sensors for the sensor-internal round-section self-induction intelligent multi-input-output reinforced concrete member.
The external sensor material is composed of a layer of insulating layer wrapped outside a reinforcing steel bar, the selection of the reinforcing steel bar is the same as that of a hooping selection method, the external sensor material is wrapped and bound outside a longitudinal bar according to the existing hooping design specification, the wrapping method and the binding method are in compliance with the existing hooping design specification, hooks are arranged at two ends of the external sensor material, the hooks at the two ends are wrapped around the longitudinal bar at the hooks, a connector connecting wire is a coaxial cable, the reinforcing steel bars at the hooks at the two ends are respectively connected with an outer conductor and an inner conductor of the connector connecting wire, and the connector connecting wire is connected with the connector.
The built-in sensor material is the same as the external sensor material, and is formed by wrapping a layer of insulating layer by the reinforcing steel bars, the selection of the reinforcing steel bars is the same as the selection method of stirrups, the built-in sensor material surrounds and is bound in the longitudinal ribs according to the design specification requirement of the existing stirrups, the connector connecting wires adopt coaxial cables, the reinforcing steel bars at two ends are respectively connected with the outer conductors and the inner conductors of the connector connecting wires, and the connector connecting wires are connected with the connectors.
The control server of the measuring equipment is connected with the microprocessor through a communication interface, sends a control command to the microprocessor, and receives the calculation data of the microprocessor.
The microprocessor is connected with the program-controlled attenuator, the signal source, the power amplifier, the signal analyzer, the analog-to-digital converter, the matrix switch A, the rectangular switch B and the switch circuit, controls the running state of each connecting circuit and reads data from the signal analyzer.
The signal source is connected with the power divider and the microprocessor, generates a signal under the control of the microprocessor, and transmits the signal to the power divider.
The power divider is connected with the signal source, the mixer and the program-controlled attenuator, the signal source generates a test signal and outputs the test signal to the power divider, and the power divider divides the signal generated by the signal source into 2 paths and respectively transmits the signals to the mixer and the program-controlled attenuator.
The program-controlled attenuator is connected with the microprocessor, the power divider and the signal analyzer, and is controlled by the microprocessor, one path of signals of the power divider are transmitted to the input signal end of the program-controlled attenuator, and the output signals of the program-controlled attenuator are transmitted to the signal analyzer.
The power amplifier is connected with the microprocessor, the matrix switch B and the mixer, and is controlled by the microprocessor, the output signal of the mixer is transmitted to the power amplifier, and the output signal of the power amplifier is transmitted to the matrix switch B.
The signal analyzer is connected with the microprocessor, the program-controlled attenuator and the matrix switch A, receives the control of the microprocessor, sends the analysis result to the microprocessor, and receives the output signals of the matrix switch A and the program-controlled attenuator.
The matrix switch B is connected with the microprocessor, the power amplifier and all the switch circuits, receives the control of the microprocessor, selects one of the switch circuits at a time under the control of the microprocessor, and transmits the output signal of the power amplifier to the selected switch circuit.
The matrix switch A is connected with the microprocessor, the signal analyzer and all the switch circuits, receives the control of the microprocessor, selects one of the switch circuits at a time under the control of the microprocessor, and inputs the signals of the selected switch circuit to the signal analyzer.
Each switch circuit is connected with the microprocessor, the matrix switch A and the matrix switch B, and each switch circuit is connected with one sensor of the round section self-induction intelligent multi-input-output reinforced concrete member; under the control of the microprocessor, the switching circuit selects an active or inactive mode in which the sensor is disconnected from the interface connected to the matrix switch a and the matrix switch B. In the working mode, the sensor is connected with one of interfaces connected with the matrix switch A or the matrix switch B; only two switching circuits are active at a time, one of which connects the sensor to the matrix switch a and the other of which connects the sensor to the matrix switch B. When the measuring equipment works, one sensor is selected to be connected to the signal analyzer, and the other sensor is selected to be connected to the power amplifier through the control of the microprocessor on the switch circuit, the matrix switch A and the matrix switch B.
The mixer is connected with the power divider, the power amplifier and the analog-to-digital converter, wherein one of output signals of the analog-to-digital converter and one of output signals of the power divider are sent to the mixer, and output signals of the mixer are sent to the power amplifier.
The analog-to-digital converter is connected with the microprocessor and the mixer, receives the control of the microprocessor and outputs data to the mixer. The program flow of the method comprises a control server program flow, a round section self-induction intelligent multi-input-output reinforced concrete member health condition calculating subprogram and a microprocessor program;
the control server program flow is:
the first step: setting a DATA range of a real part Rd and an imaginary part Id of the induction parameter DATA between each pair of sensors in a health state;
the second step sends a command for setting system parameters to the microprocessor through the communication interface, wherein the sent system parameters comprise: the signal source frequency, the amplification factors of the power amplifier and the program-controlled attenuator, the working mode of the signal analyzer and the data of the analog-to-digital converter; setting the amplification factor of the power amplifier as KF and the amplification factor of the program-controlled attenuator as KC, and entering a third step;
and a third step of: receiving a real part Rd and an imaginary part Id of the induction parameter DATA calculated by the microprocessor through a communication interface, and entering a fourth step;
fourth step: and (3) running a health condition calculation subroutine of the round section self-induction intelligent multi-input-output reinforced concrete member, and returning to the second step.
The health condition calculation subroutine of the round section self-induction intelligent multi-input-output reinforced concrete member is as follows:
the first step: judging whether the real part Rd and the imaginary part Id of the sensing parameter DATA between the pair of sensors belong to a DATA range in a health state or not, if so, entering a second step; if not, entering a third step:
and a second step of: the self-induction intelligent multi-input-output reinforced concrete member with the circular cross section is considered to be in a healthy state, and the fourth step is carried out;
and a third step of: the self-induction intelligent multi-input-output reinforced concrete member with the circular cross section is considered to be in an unhealthy state, and the fourth step is carried out;
fourth step: returning to the main program.
The microprocessor program comprises a microprocessor main program and a parameter calculation subprogram, wherein the microprocessor main program is as follows:
the first step: receiving a command of a control server through a communication interface, and turning to a second step;
and a second step of: setting system parameters, wherein the set system parameters comprise: the signal source frequency, the amplification factors of the power amplifier and the program-controlled attenuator, the working mode of the signal analyzer and the data of the analog-digital converter are transferred to the third step;
and a third step of: let i=1, j=1; turning to a fourth step;
fourth step: judging whether i is equal to j, if not, turning to a fifth step; if yes, go to the eighth step;
fifth step: the matrix switch B turns on the switch circuit i so that the output signal of the power amplifier is connected to the sensor connected with the switch circuit i; the matrix switch A is connected with the switch circuit j, so that a sensor connected with the switch circuit j is connected with the signal analyzer, and the sixth step is performed;
sixth step: receiving an in-phase component I and a quadrature component Q between a sensor connected with a switch circuit j and an output signal of a program-controlled attenuator, which are obtained by analysis of a signal analyzer, setting the in-phase component obtained by analysis of the signal analyzer as DATA_I, setting the quadrature component as DATA_Q, and turning to a seventh step;
seventh step: calling a parameter calculation subroutine, and turning to an eighth step;
eighth step: let j=j+1; the method comprises the steps of carrying out a first treatment on the surface of the Turning to a ninth step;
ninth step: judging whether j is greater than S, if not, turning to a fourth step; if yes, turning to a tenth step;
tenth step: let j=1, i=i+1; turning to an eleventh step;
eleventh step: judging whether i is greater than S; if not, turning to a fourth step; if yes, go to the twelfth step;
twelfth step: and (3) sending the parameter calculation result to a control server, and turning to the first step.
The parameter calculation subroutine is:
the first step: the sensing parameter DATA is calculated as follows:
Figure BDA0001314435780000051
the parameter DATA is complex, the real part of DATA is expressed by Rd, the imaginary part of DATA is expressed by Id, and the calculated DATA is the sensing parameter between the sensor i and the sensor j selected when the parameter calculation subroutine is called;
Figure BDA0001314435780000052
and a second step of: returning to the main program of the microprocessor.
The invention has the positive effects that:
aiming at the defect that the existing concrete member cannot be monitored in real time or the sensor is short in service life and needs to be replaced periodically, the health monitoring method for the circular-section self-induction intelligent multi-input-output concrete member is provided. The method skillfully utilizes the stirrup manufacturing method of the concrete member to finish the manufacturing of the sensor on the basis of conforming to the design specification of the existing concrete member. By adopting the self-induction intelligent multi-input-output method of the concrete member, the number of the sensors can be designed according to the quality requirement of the concrete member. The method is convenient for detecting the health condition of the one-dimensional concrete with the circular cross section on line in real time, monitoring the health condition of the one-dimensional concrete with the circular cross section, finding out the pathological changes of the concrete in time and forecasting and early warning. Meanwhile, the service life of the sensor is equal to that of the concrete, and a testing instrument is provided for monitoring the health of the one-dimensional concrete with the circular cross section.
Drawings
Fig. 1 is a diagram of a one-dimensional reinforced concrete design with an external sensor and a circular cross section.
Fig. 2 is a structural diagram of an external sensor.
Fig. 3 is a cross-sectional view of an external sensor.
Fig. 4 is a structural diagram of a one-dimensional reinforced concrete design with a built-in sensor and a circular cross section.
Fig. 5 is a structural diagram of the built-in sensor.
Fig. 6 is a structural diagram of the measuring apparatus.
Fig. 7 is a control server program flow.
Fig. 8 is a subroutine diagram of the health calculation of a round section self-induction intelligent multi-input-output reinforced concrete member.
Fig. 9 is a main program diagram of a microprocessor.
Fig. 10 is a signal source circuit diagram.
Fig. 11 is a power amplifier circuit diagram of the measurement device.
Fig. 12 is a circuit diagram of a programmable attenuator of a measurement device.
Fig. 13 to 14 are circuit diagrams of a signal analyzer of the measuring apparatus.
Fig. 15 is a circuit diagram of an analog-to-digital converter of the measuring device.
Fig. 16 is a mixer circuit diagram of the measuring device.
In the figure, 1-k external sensor, 2-1-2-n stirrup, 3-1-3-m longitudinal bar, 4-hook longitudinal bar, 5-hook, 6-connector, 7-connector connecting wire, 8-bar, 9 insulating layer, 10-1-10-p built-in sensor, 11 control server, 12 communication interface, 13 microprocessor, 14 power divider, 15 program controlled attenuator, 16 signal source, 17 power amplifier, 18 signal analyzer, 19-1 matrix switch A, 19-2 rectangular switch B, 20-1-20-S switch circuit, 21-1-21-S sensor, 22 circular section self-induction intelligent multiple input and output reinforced concrete component, 23 analog-digital converter, 24 mixer, 25 measuring equipment.
Detailed Description
The health monitoring of the concrete member is accomplished by a measuring device connected to a sensor of the circular cross section concrete member. The sensors on the circular section concrete member are divided into an external sensor and an internal sensor according to the positions of the transmitting sensor and the receiving sensor.
See fig. 1-3. When the external sensor is adopted, the design method of the one-dimensional reinforced concrete longitudinal bars and the stirrups with the circular cross sections is the same as the existing one-dimensional reinforced concrete design method, and conforms to the existing design specifications. Based on the existing one-dimensional reinforced concrete, part of stirrups are replaced by external sensors. An external sensor is arranged at each interval I of stirrups, the external sensor replaces the function borne by the stirrups, I is determined by experiments, and k external sensors are arranged. The external sensor has the sensing function and the stirrup function. The structure forms the sensor external circular section self-induction intelligent multi-input-output reinforced concrete member.
The external sensor material is formed by wrapping a layer of insulating layer outside a reinforcing steel bar, the selection of the reinforcing steel bar is the same as that of a hooping selection method, the external sensor material is wrapped and bundled outside the longitudinal bars 3-1-3-m according to the requirements of the existing hooping design specification, hooks 5 are arranged at two ends of the external sensor material, the hooks at two ends are wound around the longitudinal bars 4 at the hooks, a coaxial cable is adopted as a connector connecting wire, the reinforcing steel bars at the two ends are respectively connected with an outer conductor and an inner conductor of the connector connecting wire, an insulating layer 9 is arranged outside a connecting wire, and the connector connecting wire 7 is connected with the connector 6.
See fig. 4 and 5. When the built-in sensor is adopted, the design method of the longitudinal bars and the stirrups is the same as the existing one-dimensional reinforced concrete design method, and conforms to the existing design specification. On the basis of the existing one-dimensional reinforced concrete, a built-in sensor is added. The built-in sensor cannot replace the stirrup function. The built-in sensors are tightly attached and bound in the longitudinal ribs, p sensors are uniformly arranged in the one-dimensional reinforced concrete, and the value of p is determined by experiments. The structure forms the built-in sensor rectangular section self-induction intelligent multi-input-output reinforced concrete member.
The material of the built-in sensor is the same as that of the external sensor, and the built-in sensor is formed by wrapping a layer of insulating layer outside the steel bar. The selection of the reinforcing steel bars is the same as the selection method of the stirrups, and conforms to the design specification requirements of the existing stirrups. The built-in sensor material surrounds and is bound inside the longitudinal ribs. The connector connecting wire adopts coaxial cable, and the reinforcing bars at both ends are connected with the outer conductor and the inner conductor of connector connecting wire respectively to at the insulating layer of connecting wire peripheral hardware. The coaxial cable is connected with the connector.
See fig. 6. The measuring equipment is connected to the measured circular section self-induction intelligent multi-input-output reinforced concrete member sensor through a sensing connecting wire. The connector of each sensor is connected with one end of a sensing connecting wire, and the other end of the sensing connecting wire is connected to measuring equipment. The sensing connecting line adopts coaxial cable measuring equipment and is composed of a control server 11, a communication interface 12, a microprocessor 13, a power divider 14, a program-controlled attenuator 15, a signal source 16, a power amplifier 17, a signal analyzer 18, matrix switches 19-1 and 19-2, switching circuits 20-1 to 20-S, an analog-to-digital converter 23 and a mixer 24.
The sensor of the circular section self-induction intelligent multi-input-output reinforced concrete member is characterized in that a connector of the built-in sensor or the built-out sensor is connected with one end of a sensing connecting wire, and the other end of the sensing connecting wire is connected to a switch circuit of the measuring equipment. The measuring device has more than S switch circuits in total, wherein the S switch circuits are used for measuring, S=k for the sensor-external round section self-induction intelligent multi-input-output reinforced concrete member, and S=p for the sensor-built-in round section self-induction intelligent multi-input-output reinforced concrete member.
The control server 11 of the measuring device is connected to the microprocessor 13 via a communication interface 12, sends control commands to the microprocessor and receives microprocessor calculation data.
The microprocessor 13 is connected with the program-controlled attenuator 15, the signal source 16, the power amplifier 17, the signal analyzer 18, the analog-to-digital converter 23, the matrix switch A19-1, the rectangular switch B19-2 and the switch circuits 20-1 to 20-S, controls the running states of the connection circuits, and reads data from the signal analyzer.
The signal source 16 is connected to the power divider 14 and the microprocessor, and generates and transmits signals to the power divider under the control of the microprocessor.
The power divider is connected with the signal source 16, the mixer 24 and the program-controlled attenuator 15, the signal source 16 generates a test signal and outputs the test signal to the power divider 14, and the power divider 14 divides the signal generated by the signal source 16 into 2 paths and respectively transmits the signals to the mixer 24 and the program-controlled attenuator 15.
The program-controlled attenuator 15 is connected with the microprocessor 13, the power divider 14 and the signal analyzer 18, and is controlled by the microprocessor, one path of signals of the power divider 14 are transmitted to the input signal end of the program-controlled attenuator 15, and the output signals of the program-controlled attenuator 15 are transmitted to the signal analyzer 18.
The power amplifier 17 is connected with the microprocessor 13, the matrix switch B19-2 and the mixer 24, and is controlled by the microprocessor, the output signal of the mixer 24 is transmitted to the power amplifier 17, and the output signal of the power amplifier 17 is transmitted to the matrix switch B19-2.
The signal analyzer 18 is connected with the microprocessor 13, the program-controlled attenuator 15 and the matrix switch A19-1, receives the control of the microprocessor, sends the analysis result to the microprocessor, and receives the output signals of the matrix switch A19-1 and the program-controlled attenuator 15.
The matrix switch B19-2 is connected with the microprocessor 13, the power amplifier 17 and all the switch circuits, receives the control of the microprocessor, selects one of the switch circuits at a time under the control of the microprocessor, and transmits the output signal of the power amplifier to the selected switch circuit.
The matrix switch a is connected to the microprocessor 13, the signal analyzer 18 and all the switch circuits, and is controlled by the microprocessor, one of the switch circuits is selected at a time under the control of the microprocessor, and the selected switch circuit signal is input to the signal analyzer 18.
Each switch circuit is connected with the microprocessor 13, the matrix switch A19-1 and the matrix switch B19-2, and is connected with one sensor of the round section self-induction intelligent multi-input-output reinforced concrete member; under the control of the microprocessor, the switching circuit selects an operating or non-operating mode in which the sensor is disconnected from the interface connected to the matrix switch A19-1 and the matrix switch B19-2; in the working mode, the sensor is connected with one interface of the connection matrix switch A19-1 or the matrix switch B19-2; only two switching circuits are active at a time, one of which connects the sensor to matrix switch a19-1 and the other of which connects the sensor to matrix switch B19-2. When the measuring device is in operation, one sensor is selected to be connected to the signal analyzer 18 and the other sensor is selected to be connected to the power amplifier 17 through the control of the switch circuits 20-1 to 20-S, the matrix switch A19-1 and the matrix switch B19-2 by the microprocessor 13.
The mixer 24 is connected with the power divider 14, the power amplifier 17 and the analog-to-digital converter 23, wherein an output signal of the analog-to-digital converter 23 and one output signal of the power divider 14 are sent to the mixer 24, and an output signal of the mixer 24 is sent to the power amplifier 17.
The analog-to-digital converter 23 is connected to the microprocessor 13 and the mixer 24, receives the microprocessor control, and outputs data to the mixer 24.
The microprocessor of this example employs ZC706 development board manufactured by XILINX, USA. The communication interface is a serial interface of ZC706, and the power divider adopts SHX-GF2-100 manufactured by Shanghai Hua Xiang computer communication engineering Co., ltd. The matrix switch A and the matrix switch B are made of Dow-Key Microwave products in the United states, and the model is: 3203-8X8-ENET. The switch circuit is SHX801-01 of Shanghai Hua Xiang computer communication engineering Co. The control server adopts a common desktop or notebook computer.
See fig. 10 for a signal source circuit diagram. In the figure, US1, ADF4350, manufactured by ANALOG DEVICES Inc. US2:26MHZ active crystal oscillator. ADF4153, manufactured by ANALOG DEVICES Inc. of U.S. Pat. No. 3.
CLKA, DATAA, LEA, CLKB, DATAB, LEB, MUXS, MUXO, LD are connected to the IO pins of ZC 706. RFOUTA is connected to the input of the power divider.
See fig. 11 for a circuit diagram of a power amplifier.
UG1 HMC921, manufactured by ANALOG DEVICES, inc. S_OUT is connected to the mixer and RFOUT is connected to the matrix switch B.
Fig. 12 is a circuit diagram of a programmable attenuator of a measurement device. The program-controlled attenuator A and the program-controlled attenuator B adopt the same circuit. UD6: integrated circuit, model: PE43704, produced by Peregrine Semiconductor Corp, inc.
A0, A1, A2, D0, D1, D2, D3, D4, D5, D6, SI, CLK, LE, P/S are connected to IO pins of ZC 706.
Referring to fig. 13 to 14, a signal analyzer circuit diagram of the measuring apparatus is shown.
UR1: AD9361 produced by Analog Devices, inc. of the United states.
UR2, UR3: TCM1-63AX+ manufactured by Mini-Circuits Inc. of U.S.A.
JP1, JP2, JP3: BNC connector.
The connection networks named AUXADC, AUXDAC1, AUXDAC2, RX_F_N, RX_F_P, TX_F_N, TX_F_P, SPIDO, SPIDI, SPICLK, SPIEN, CLKOUT, RESETB, EN, ENAGC, F_CLK_N, F_CLK_P, D_CLK_N, D_CLK_P, TXNRX, P0_D [0:11], P1_D [0:11], GPIO [0:3], CTLIN [0:3], CTRLOUT [0:7] of the two sets of circuits are all connected to IO pins of ZC 706.
Fig. 15 is a circuit diagram of an analog-to-digital converter of the measuring device. In the figure, U5: AD9643, manufactured by ANALOG DEVICES Co., U.S.A. VINA-, vina+ is connected to the mixer, SCLK, SDO, clk+, CLK-, d0+, d1+, … …, d13+, D0-, D1-, … …, D13-, all connected to the IO interface of ZC 706.
Fig. 16 is a mixer circuit diagram of the measuring device.
UH1: ADL5350, manufactured by ANALOG DEVICES, usa. S_OUT is connected to a power amplifier, VOUTA is connected to the analog-to-digital converter output, and RF_INA is connected to a power divider.
The program flow of the method comprises a control server program flow, a round section self-induction intelligent multi-input-output reinforced concrete member health condition calculation subprogram and a microprocessor program.
The control server program flow is:
the first step: setting a DATA range of a real part Rd and an imaginary part Id of the induction parameter DATA between each pair of sensors in a health state;
the second step sends a command for setting system parameters to the microprocessor through the communication interface, wherein the sent system parameters comprise: the signal source frequency, the amplification factors of the power amplifier and the program-controlled attenuator, the working mode of the signal analyzer and the data of the analog-to-digital converter; setting the amplification factor of the power amplifier as KF and the amplification factor of the program-controlled attenuator as KC, and entering a third step;
and a third step of: receiving a real part Rd and an imaginary part Id of the induction parameter DATA calculated by the microprocessor through a communication interface, and entering a fourth step;
fourth step: and (3) running a health condition calculation subroutine of the round section self-induction intelligent multi-input-output reinforced concrete member, and returning to the second step.
The health condition calculation subroutine of the round section self-induction intelligent multi-input-output reinforced concrete member is as follows:
the first step: judging whether the real part Rd and the imaginary part Id of the sensing parameter DATA between the pair of sensors belong to a DATA range in a health state or not, if so, entering a second step; if not, entering a third step:
and a second step of: the self-induction intelligent multi-input-output reinforced concrete member with the circular cross section is considered to be in a healthy state, and the fourth step is carried out;
and a third step of: the self-induction intelligent multi-input-output reinforced concrete member with the circular cross section is considered to be in an unhealthy state, and the fourth step is carried out;
fourth step: returning to the main program.
The microprocessor program comprises a microprocessor main program and a parameter calculation subprogram, wherein the microprocessor main program is as follows:
the first step: receiving a command of a control server through a communication interface, and turning to a second step;
and a second step of: setting system parameters, wherein the set system parameters comprise: the signal source frequency, the amplification factors of the power amplifier and the program-controlled attenuator, the working mode of the signal analyzer and the data of the analog-digital converter are transferred to the third step;
and a third step of: let i=1, j=1; turning to a fourth step;
fourth step: judging whether i is equal to j, if not, turning to a fifth step; if yes, go to the eighth step;
fifth step: the matrix switch B turns on the switch circuit i so that the output signal of the power amplifier is connected to the sensor connected with the switch circuit i; the matrix switch A is connected with the switch circuit j, so that a sensor connected with the switch circuit j is connected with the signal analyzer, and the sixth step is performed;
sixth step: receiving an in-phase component I and a quadrature component Q between a sensor connected with a switch circuit j and an output signal of a program-controlled attenuator, which are obtained by analysis of a signal analyzer, setting the in-phase component obtained by analysis of the signal analyzer as DATA_I, setting the quadrature component as DATA_Q, and turning to a seventh step;
seventh step: calling a parameter calculation subroutine, and turning to an eighth step;
eighth step: let j=j+1; turning to a ninth step;
ninth step: judging whether j is greater than S, if not, turning to a fourth step; if yes, turning to a tenth step;
tenth step: let j=1, i=i+1; turning to an eleventh step;
eleventh step: judging whether i is greater than S; if not, turning to a fourth step; if yes, go to the twelfth step;
twelfth step: and (3) sending the parameter calculation result to a control server, and turning to the first step.
The parameter calculation subroutine is:
the first step: the sensing parameter DATA is calculated as follows:
Figure BDA0001314435780000121
the parameter DATA is complex, the real part of DATA is expressed by Rd, the imaginary part of DATA is expressed by Id, and the calculated DATA is the sensing parameter between the sensor i and the sensor j selected when the parameter calculation subroutine is called;
Figure BDA0001314435780000122
and a second step of: returning to the main program of the microprocessor.

Claims (6)

1. A health monitoring method of a circular section self-induction intelligent multi-input-output concrete member is characterized by comprising the following steps of: the health monitoring of the concrete member is completed by measuring equipment which is connected to a sensor of the concrete member with the circular section; according to different positions of the sensors, the sensors on the circular-section concrete member are divided into an external sensor and an internal sensor, and the measuring equipment is connected to the measured circular-section self-induction intelligent multi-input-output reinforced concrete member sensor through a sensing connecting wire; the connector of each sensor is connected with one end of a sensing connecting wire, and the other end of the sensing connecting wire is connected to measuring equipment; the measuring device consists of a control server (11), a communication interface (12), a microprocessor (13), a power divider (14), a program-controlled attenuator (15), a signal source (16), a power amplifier (17), a signal analyzer (18), a matrix switch A (19-1), a matrix switch B (19-2), switching circuits (20-1-20-S), an analog-to-digital converter (23) and a mixer (24);
the setting method of the external sensor comprises the following steps: the design method of the longitudinal bars and the stirrups is the same as the design method of the existing one-dimensional reinforced concrete member, conforms to the existing design specification, and part of stirrups are replaced by external sensors on the basis of the existing one-dimensional reinforced concrete member; each interval I of stirrups is provided with one external sensor, I is determined by experiments, k external sensors are arranged, and the external sensors have the functions of stirrups besides the sensing function;
the setting method of the built-in sensor comprises the following steps: the design method of the longitudinal bars and the stirrups is the same as the design method of the existing one-dimensional reinforced concrete member, the existing design specification is complied, on the basis of the existing one-dimensional reinforced concrete, the built-in sensors are added, the built-in sensors cannot replace the stirrups, the built-in sensors are clung and bound in the longitudinal bars, p built-in sensors are uniformly arranged in the one-dimensional reinforced concrete, and the value of p is determined by experiments;
the measuring equipment is provided with more than S switch circuits in total, wherein the S switch circuits are used for measuring, S=k and k are the number of external sensors for the sensor-external round-section self-induction intelligent multi-input-output reinforced concrete member, and S=p and p are the number of internal sensors for the sensor-internal round-section self-induction intelligent multi-input-output reinforced concrete member.
2. The method for monitoring the health of a concrete member according to claim 1, wherein: the external sensor material is formed by wrapping a layer of insulating layer outside a steel bar, the selection of the steel bar is the same as that of a hooping selection method, the external sensor material is wrapped and bound outside a longitudinal bar (3-1-3-m) according to the existing hooping design specification, hooks (5) are arranged at two ends of the external sensor material, the hooks at two ends are wound around the longitudinal bar (4) at the hooks, a connector connecting wire (7) adopts a coaxial cable, the steel bars at the hooks at two ends are respectively connected with an outer conductor and an inner conductor of the connector connecting wire, and the connector connecting wire (7) is connected with a connector (6);
the built-in sensor material is the same as the external sensor material, and is formed by wrapping an insulating layer (9) outside a reinforcing steel bar (8), the selection of the reinforcing steel bar (8) is the same as the stirrup selection method, the existing stirrup design specification requirements are complied with, the built-in sensor material surrounds and is bound in the longitudinal ribs (3-1-3-m), the connector connecting wire (7) adopts a coaxial cable, the reinforcing steel bars (8) at two ends are respectively connected with an outer conductor and an inner conductor of the connector connecting wire, and the connector connecting wire (7) is connected with the connector (6).
3. The method for monitoring the health of a concrete member according to claim 1, wherein: the control server (11) of the measuring equipment is connected with the microprocessor (13) through the communication interface (12), sends a control command to the microprocessor and receives the microprocessor calculation data;
the microprocessor (13) is connected with the program-controlled attenuator (15), the signal source (16), the power amplifier (17), the signal analyzer (18), the analog-to-digital converter (23), the matrix switch A (19-1), the matrix switch B (19-2) and the switch circuits (20-1-20-S), controls the running states of the connection circuits, and reads data from the signal analyzer:
the signal source (16) is connected with the power divider and the microprocessor, generates a signal under the control of the microprocessor, and transmits the signal to the power divider;
the power divider is connected with the signal source (16), the mixer (24) and the program-controlled attenuator (15), the signal source (16) generates a test signal and outputs the test signal to the power divider (14), the power divider (14) divides the signal generated by the signal source (16) into 2 paths, and the signals are respectively transmitted to the mixer (24) and the program-controlled attenuator (15);
the program-controlled attenuator (15) is connected with the microprocessor (13), the power divider (14) and the signal analyzer (18), and is controlled by the microprocessor, one path of signals of the power divider (14) are transmitted to the input signal end of the program-controlled attenuator (15), and the output signals of the program-controlled attenuator (15) are transmitted to the signal analyzer (18);
the power amplifier (17) is connected with the microprocessor (13), the matrix switch B (19-2) and the mixer (24), and is controlled by the microprocessor, the output signal of the mixer (24) is transmitted to the power amplifier (17), and the output signal of the power amplifier (17) is transmitted to the matrix switch B (19-2);
the signal analyzer (18) is connected with the microprocessor (13), the program-controlled attenuator (15) and the matrix switch A (19-1), receives the control of the microprocessor, sends the analysis result to the microprocessor, and receives the output signals of the matrix switch A (19-1) and the program-controlled attenuator (15);
the matrix switch B (19-2) is connected with the microprocessor (13), the power amplifier (17) and all the switch circuits, receives the control of the microprocessor, selects one of the switch circuits at a time under the control of the microprocessor, and transmits the output signal of the power amplifier to the selected switch circuit;
the matrix switch A (19-1) is connected with the microprocessor (13), the signal analyzer (18) and all the switch circuits, receives the control of the microprocessor, selects one of the switch circuits at a time under the control of the microprocessor, and inputs the signals of the selected switch circuit to the signal analyzer (18);
each switch circuit is connected with the microprocessor (13), the matrix switch A (19-1) and the matrix switch B (19-2), and each switch circuit is connected with one sensor of the round section self-induction intelligent multi-input-output reinforced concrete member; under the control of the microprocessor, the switching circuit selects an operating or an inactive mode in which the sensor is disconnected from the interface connected to the matrix switch A (19-1) and the matrix switch B (19-2); in the working mode, the sensor is connected with one interface of the connection matrix switch A (19-1) or the matrix switch B (19-2); only two switching circuits are active at a time, one of which connects the sensor to the matrix switch a (19-1) and the other of which connects the sensor to the matrix switch B (19-2); when the measuring equipment works, one sensor is selected to be connected to the signal analyzer (18) and the other sensor is selected to be connected to the power amplifier (17) through the control of the microprocessor (13) on the switch circuits (20-1-20-S), the matrix switch A (19-1) and the matrix switch B (19-2);
the mixer (24) is connected with the power divider (14), the power amplifier (17) and the analog-to-digital converter (23), one of the output signal of the analog-to-digital converter (23) and the output signal of the power divider (14) is sent to the mixer (24), and the output signal of the mixer (24) is sent to the power amplifier (17);
the analog-to-digital converter (23) is connected with the microprocessor (13) and the mixer (24), receives the control of the microprocessor and outputs data to the mixer (24).
4. The method for monitoring the health of a concrete member according to claim 1, wherein: the program flow of the method comprises a control server program flow, a round section self-induction intelligent multi-input-output reinforced concrete member health condition calculating subprogram and a microprocessor program;
the control server program flow is:
the first step: setting a DATA range of a real part Rd and an imaginary part Id of the induction parameter DATA between each pair of sensors in a health state;
the second step sends a command for setting system parameters to the microprocessor through the communication interface, wherein the sent system parameters comprise: the signal source frequency, the amplification factors of the power amplifier and the program-controlled attenuator, the working mode of the signal analyzer and the data of the analog-to-digital converter; setting the amplification factor of the power amplifier as KF and the amplification factor of the program-controlled attenuator as KC, and entering a third step;
and a third step of: receiving a real part Rd and an imaginary part Id of the induction parameter DATA calculated by the microprocessor through a communication interface, and entering a fourth step;
fourth step: and (3) running a health condition calculation subroutine of the round section self-induction intelligent multi-input-output reinforced concrete member, and returning to the second step.
5. The method for monitoring the health of a concrete member according to claim 1, wherein: the health condition calculation subroutine of the round section self-induction intelligent multi-input-output reinforced concrete member is as follows:
the first step: judging whether the real part Rd and the imaginary part Id of the sensing parameter DATA between the pair of sensors belong to a DATA range in a health state or not, if so, entering a second step; if not, entering a third step:
and a second step of: the self-induction intelligent multi-input-output reinforced concrete member with the circular cross section is considered to be in a healthy state, and the fourth step is carried out;
and a third step of: the self-induction intelligent multi-input-output reinforced concrete member with the circular cross section is considered to be in an unhealthy state, and the fourth step is carried out;
fourth step: returning to the main program.
6. The method for monitoring the health of a concrete member according to claim 1, wherein: the microprocessor program comprises a microprocessor main program and a parameter calculation subprogram, wherein the microprocessor main program is as follows:
the first step: receiving a command of a control server through a communication interface, and turning to a second step;
and a second step of: setting system parameters, wherein the set system parameters comprise: signal source frequency, power amplifier and program
Controlling the amplification factor of the attenuator, the working mode of the signal analyzer, and the data of the analog-digital converter, and turning to the third step;
and a third step of: let i=1, j=1; turning to a fourth step;
fourth step: judging whether i is equal to j, if not, turning to a fifth step; if yes, go to the eighth step;
fifth step: the matrix switch B turns on the switching circuit i so that the power amplifier output signal is connected to the switching circuit
i a connected sensor; matrix switch A (19-1) turns on switching circuit j so that switching circuit j is connected
The sensor is connected with the signal analyzer, and the sixth step is performed;
sixth step: sensor and program controlled attenuator output connected with switch circuit j obtained by analysis of received signal analyzer
An in-phase component I and a quadrature component Q between signals are set as DATA_I, the in-phase component obtained by analysis of the signal analyzer is set as DATA_Q, and the quadrature component is set as DATA_Q, and the seventh step is carried out;
seventh step: calling a parameter calculation subroutine, and turning to an eighth step;
eighth step: let j=j+1; turning to a ninth step;
ninth step: judging whether j is greater than S, if not, turning to a fourth step; if yes, turning to a tenth step;
tenth step: let j=1, i=i+1; turning to an eleventh step;
eleventh step: judging whether i is greater than S; if not, turning to a fourth step; if yes, go to the twelfth step;
twelfth step: the parameter calculation result is sent to a control server, and the first step is carried out;
the parameter calculation subroutine is:
the first step: the sensing parameter DATA is calculated as follows:
Figure FDA0004147541650000051
the parameter DATA is complex, the real part of DATA is expressed by Rd, the imaginary part of DATA is expressed by Id, and the calculated DATA is the sensing parameter between the sensor i and the sensor j selected when the parameter calculation subroutine is called;
Figure FDA0004147541650000052
/>
and a second step of: returning to the main program of the microprocessor.
CN201710418932.1A 2017-06-06 2017-06-06 Health monitoring method for circular section self-induction intelligent multi-input-output concrete member Active CN107064473B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710418932.1A CN107064473B (en) 2017-06-06 2017-06-06 Health monitoring method for circular section self-induction intelligent multi-input-output concrete member

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710418932.1A CN107064473B (en) 2017-06-06 2017-06-06 Health monitoring method for circular section self-induction intelligent multi-input-output concrete member

Publications (2)

Publication Number Publication Date
CN107064473A CN107064473A (en) 2017-08-18
CN107064473B true CN107064473B (en) 2023-04-28

Family

ID=59615767

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710418932.1A Active CN107064473B (en) 2017-06-06 2017-06-06 Health monitoring method for circular section self-induction intelligent multi-input-output concrete member

Country Status (1)

Country Link
CN (1) CN107064473B (en)

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1837805A (en) * 2006-04-28 2006-09-27 四川大学 Method and apparatus for concrete damage detection based on impedance imaging
JP2007043755A (en) * 2006-11-06 2007-02-15 Toshiba Corp Radio communication system and radio communication method
AU2012205171A1 (en) * 2004-07-23 2012-08-02 Smart Structures, Inc Monitoring system for concrete pilings and method of installation
AU2012214105A1 (en) * 2011-02-09 2013-05-02 South East Water Corporation Wirelessly networked fluid monitoring method, system and apparatus
CN104729982A (en) * 2015-04-10 2015-06-24 北京科技大学 Method of monitoring rusting risk of reinforcement in concrete in situ
CN104849290A (en) * 2015-06-11 2015-08-19 四川大学 Three-dimensional concrete health detection method based on reinforcing steel bar antenna and detection circuit thereof
CN105486880A (en) * 2015-12-31 2016-04-13 盐城工学院 Self-power built-in wireless data transmission reinforcement meter for detection
CN105973944A (en) * 2016-07-22 2016-09-28 四川大学 One-dimensional coaxial reinforced concrete member measuring device and method based on equivalent circuit
CN106053326A (en) * 2016-07-19 2016-10-26 青岛理工大学 Monitoring system for monitoring durability deterioration evolution of reinforced concrete structure
CN106154054A (en) * 2016-07-22 2016-11-23 四川大学 The dielectric constant measurement equipment of the coaxial one-dimensional reinforced concrete member of intelligence and method

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5895843A (en) * 1996-05-15 1999-04-20 The University Of Virginia Patent Foundation In situ sensor for critical corrosion conditions in a material
WO2008098376A1 (en) * 2007-02-15 2008-08-21 Dalhousie University Vibration based damage detection system
CN102127917A (en) * 2010-12-03 2011-07-20 中国民航大学 Low-strain testing device for detecting integrity of ultralong bored concrete pile
CN102420648A (en) * 2011-12-27 2012-04-18 耿直 Wireless comprehensive transmission method and railway wireless comprehensive relay equipment
CN104807594A (en) * 2015-03-31 2015-07-29 广西智通节能环保科技有限公司 Automatic measuring system based on matrix switch
CN106680317A (en) * 2015-11-06 2017-05-17 尤世元 Concrete monitoring device
CN205879837U (en) * 2016-07-22 2017-01-11 四川大学 Coaxial reinforced concrete member measuring equipment of one -dimensional based on equivalent circuit

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2012205171A1 (en) * 2004-07-23 2012-08-02 Smart Structures, Inc Monitoring system for concrete pilings and method of installation
CN1837805A (en) * 2006-04-28 2006-09-27 四川大学 Method and apparatus for concrete damage detection based on impedance imaging
JP2007043755A (en) * 2006-11-06 2007-02-15 Toshiba Corp Radio communication system and radio communication method
AU2012214105A1 (en) * 2011-02-09 2013-05-02 South East Water Corporation Wirelessly networked fluid monitoring method, system and apparatus
CN104729982A (en) * 2015-04-10 2015-06-24 北京科技大学 Method of monitoring rusting risk of reinforcement in concrete in situ
CN104849290A (en) * 2015-06-11 2015-08-19 四川大学 Three-dimensional concrete health detection method based on reinforcing steel bar antenna and detection circuit thereof
CN105486880A (en) * 2015-12-31 2016-04-13 盐城工学院 Self-power built-in wireless data transmission reinforcement meter for detection
CN106053326A (en) * 2016-07-19 2016-10-26 青岛理工大学 Monitoring system for monitoring durability deterioration evolution of reinforced concrete structure
CN105973944A (en) * 2016-07-22 2016-09-28 四川大学 One-dimensional coaxial reinforced concrete member measuring device and method based on equivalent circuit
CN106154054A (en) * 2016-07-22 2016-11-23 四川大学 The dielectric constant measurement equipment of the coaxial one-dimensional reinforced concrete member of intelligence and method

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
Carolyn Dry.Matrix cracking repair and filling using active and passive modes for smart timed release of chemicals from fibers into cement matrices.《Smart materials and structures》.1994,第3卷(第2期),第1-4页. *
Li bixiong.Preliminary study on change law of AC impedance characteristics of concrete during splitting tensile.《Journal of sichuan University(Engineering science edition)》.2016,第1卷(第48期),第23-28页. *
王云洋.水泥基传感器与混凝土的应变协调性分析.《哈尔滨工业大学学报》.2015,第47卷(第9期),第95-100页. *
王旋.汶川地震中填充墙钢筋混凝土框架结构抗震性能思考.《工业建筑》.2009,第39卷(第1期),第25-29页. *
田明武 ; 李碧雄 ; .水泥浆体阻抗特性的初步研究.四川建筑.2009,(第02期),第1-4页. *
钱叶琳 ; .连续梁桥施工应力监测及数据分析.安徽建筑.2012,(第03期),第1-4页. *

Also Published As

Publication number Publication date
CN107064473A (en) 2017-08-18

Similar Documents

Publication Publication Date Title
US9078165B2 (en) System and method for confirming radio frequency (RF) signal connection integrity with multiple devices under test (DUTs) to be tested concurrently
CN101998606B (en) Antenna transmission power monitoring and/or control
CN104515907B (en) A kind of scattering parameter test system and its implementation
CN1952671A (en) Predicted testing system of radiation field strength mode of short wave antenna
CN104535955A (en) Calibration device and method of transformer frequency response method winding deformation tester
CN103048550B (en) Test system and test data calibration method of S-parameter of surface mount microwave device
EP1701172A1 (en) RF cable testing
CN104965004A (en) Steel bar coaxial cable structure one-dimensional concrete health monitoring method and step tester
CN108646097A (en) A kind of insertion loss test method and system
CN106771554A (en) Multiport microwave device test system and method
CN107064473B (en) Health monitoring method for circular section self-induction intelligent multi-input-output concrete member
CN106154054B (en) Dielectric constant measuring equipment and method for intelligent coaxial one-dimensional reinforced concrete member
CN205786886U (en) Detect the detecting system of multiple combiner simultaneously
CN104849290A (en) Three-dimensional concrete health detection method based on reinforcing steel bar antenna and detection circuit thereof
CN107014987B (en) Rectangular section self-induction intelligent multi-input-output concrete member health monitoring method
CN105973944B (en) One-dimensional coaxial reinforced concrete member measuring apparatus and method based on equivalent circuit
CN105974205B (en) Coaxial one-dimensional reinforced concrete member concrete dielectric constant measurement device and method
CN205879837U (en) Coaxial reinforced concrete member measuring equipment of one -dimensional based on equivalent circuit
CN207051290U (en) The self-induction intelligence Multiinputoutput health monitoring equipment of rectangular reinforced concrete component
CN206020539U (en) Coaxial one-dimensional reinforced concrete member concrete dielectric constant measurement equipment
CN113341308B (en) Method and system for judging action characteristics of isolating switch
CN106018486B (en) One-dimensional coaxial reinforced concrete member measuring apparatus and method based on frequency domain reflection
CN205898904U (en) Coaxial one -dimensional reinforced concrete member's of intelligence dielectric constant measuring equipment
CN211123024U (en) PCB branch current detection device and PCB detection system
CN205844240U (en) The coaxial one-dimensional reinforced concrete member of intelligence based on frequency domain reflection measures equipment

Legal Events

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