CN111678426A - Building structure wireless monitoring system that meets an emergency based on thing networking - Google Patents
Building structure wireless monitoring system that meets an emergency based on thing networking Download PDFInfo
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- CN111678426A CN111678426A CN202010762668.5A CN202010762668A CN111678426A CN 111678426 A CN111678426 A CN 111678426A CN 202010762668 A CN202010762668 A CN 202010762668A CN 111678426 A CN111678426 A CN 111678426A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B7/00—Measuring arrangements characterised by the use of electric or magnetic techniques
- G01B7/16—Measuring arrangements characterised by the use of electric or magnetic techniques for measuring the deformation in a solid, e.g. by resistance strain gauge
- G01B7/18—Measuring arrangements characterised by the use of electric or magnetic techniques for measuring the deformation in a solid, e.g. by resistance strain gauge using change in resistance
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03F—AMPLIFIERS
- H03F1/00—Details of amplifiers with only discharge tubes, only semiconductor devices or only unspecified devices as amplifying elements
- H03F1/08—Modifications of amplifiers to reduce detrimental influences of internal impedances of amplifying elements
- H03F1/083—Modifications of amplifiers to reduce detrimental influences of internal impedances of amplifying elements in transistor amplifiers
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03F—AMPLIFIERS
- H03F1/00—Details of amplifiers with only discharge tubes, only semiconductor devices or only unspecified devices as amplifying elements
- H03F1/26—Modifications of amplifiers to reduce influence of noise generated by amplifying elements
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03F—AMPLIFIERS
- H03F3/00—Amplifiers with only discharge tubes or only semiconductor devices as amplifying elements
- H03F3/45—Differential amplifiers
- H03F3/45071—Differential amplifiers with semiconductor devices only
- H03F3/45479—Differential amplifiers with semiconductor devices only characterised by the way of common mode signal rejection
- H03F3/45484—Differential amplifiers with semiconductor devices only characterised by the way of common mode signal rejection in differential amplifiers with bipolar transistors as the active amplifying circuit
- H03F3/45488—Differential amplifiers with semiconductor devices only characterised by the way of common mode signal rejection in differential amplifiers with bipolar transistors as the active amplifying circuit by using feedback means
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03F—AMPLIFIERS
- H03F3/00—Amplifiers with only discharge tubes or only semiconductor devices as amplifying elements
- H03F3/68—Combinations of amplifiers, e.g. multi-channel amplifiers for stereophonics
Abstract
The invention discloses a building structure strain wireless monitoring system based on the Internet of things, which comprises a front-end acquisition module, a wireless transmission module and a background management server, wherein the front-end acquisition module comprises a stress sampling signal amplification circuit, a composite stabilizing circuit, a noise reduction filter circuit, an A/D converter and a microprocessor; the noise reduction filter circuit can well eliminate external electromagnetic interference by using a low-pass filter principle, and the processing precision of the stress detection signal is improved; the system has high monitoring precision and strong anti-interference capability, achieves high-precision acquisition and wireless transmission of the building structure strain signals, and obtains better monitoring effect.
Description
Technical Field
The invention relates to the technical field of building structure strain monitoring, in particular to a building structure strain wireless monitoring system based on the Internet of things.
Background
The building structure monitoring mainly comprises the monitoring of the construction process and the operation stage of the upper structure of the building such as a reinforced concrete structure, a wood structure, a steel structure and the like. Building structure monitoring is an important means for understanding the health condition of the structure at present stage, and can also be used as a reference for building structure identification and safety and reliability evaluation. In recent years, large-scale buildings such as bridges, houses and tunnels have frequent collapse accidents, so that great economic loss is caused to the country, and the traditional building structure strain monitoring technology has poor precision, large error, complex wiring and great limitation in application.
The Internet of Things (Internet of Things) technology mainly refers to a network that enables all common objects capable of performing independent functions to be interconnected and intercommunicated, and can well optimize the monitoring process of a building structure, so that a building structure strain wireless monitoring system based on the Internet of Things is gradually developed and applied. The existing building structure strain wireless monitoring system based on the Internet of things mainly comprises a front-end acquisition module, a wireless transmission module and a background management module, wherein the front-end acquisition module finishes strain data acquisition by arranging a sensor node, and the transmission of a stress detection signal can be interfered by external factors in the actual acquisition process, such as external electromagnetic interference and temperature influence, and zero drift phenomenon generated by a manufacturing process and the like can cause errors of measured data, so that the monitoring precision of the whole wireless monitoring system is influenced.
The present invention provides a new solution to this problem.
Disclosure of Invention
In view of the above situation, in order to overcome the defects of the prior art, the present invention aims to provide a wireless monitoring system for building structure strain based on the internet of things.
The technical scheme for solving the problem is as follows: a building structure strain wireless monitoring system based on the Internet of things comprises a front-end acquisition module, a wireless transmission module and a background management server, wherein the front-end acquisition module comprises a stress sampling signal amplification circuit, a composite stabilizing circuit, a noise reduction filter circuit, an A/D converter and a microprocessor, the stress sampling signal amplification circuit comprises a stress sensor for acquiring the deformation condition of a building structure, and a detection signal of the stress sensor is sent into the composite stabilizing circuit after being subjected to signal amplification by a measurement amplifier; the composite stabilizing circuit is used for stabilizing the amplitude of the output signal of the stress sampling signal amplifying circuit and eliminating ripples, and then sending the processed detection signal into the noise reduction filter circuit; the noise reduction filter circuit comprises triodes T3 and T4, an emitter of a triode T3 is connected with one end of a resistor R15 and a capacitor C4 and an output end of the composite stabilizing circuit through a resistor R14, the other ends of the resistor R15 and a capacitor C4 are connected with an emitter of a triode T4, a base and a collector of the triode T3 are grounded with a base of the T3 through a resistor R3, a collector of the triode T3 is connected with a non-inverting input end of an operational amplifier U3 and is grounded through a parallel resistor R3 and a capacitor C3, an inverting input end of the operational amplifier U3 is connected with one end of the resistor R3, one end of the capacitor C3 and an inverting input end of the operational amplifier U3, an output end of the operational amplifier U3 is connected with one end of the resistor R3, a drain of a MOS transistor Q3 and the other end of the resistor R3, the non-inverting input end of the operational amplifier U3 is connected with one end of the resistor R3, the other end of the resistor R3, the stress acquisition device is connected with an emitter of a triode T4 through a resistor R21, a grid electrode of an MOS tube Q2 is connected with the other end of the resistor R22 and a cathode of a voltage stabilizing diode DZ3, an anode of the voltage stabilizing diode DZ3 is grounded, a source electrode of an MOS tube Q2 is connected with one end of an inductor L1 and one end of a capacitor C7, the other end of an inductor L1 is connected with one end of the capacitor C8 and an input end of the A/D converter, the other ends of the capacitors C7 and C8 are grounded, an output end of the A/D converter is connected with the microprocessor, and the microprocessor is used for remotely transmitting stress acquisition data to the background management server through the wireless transmission module.
Preferably, the measuring amplifier comprises operational amplifiers U1, U2 and U3, a non-inverting input terminal of the operational amplifier U1 is connected to the first output terminal of the stress sensor through a resistor R2, one terminal of a resistor R1 and a capacitor C1, and is grounded through a resistor R4, a non-inverting input terminal of the operational amplifier U2 is connected to the second output terminal of the stress sensor through a resistor R3, the other terminal of the resistor R1 and a capacitor C1, and is grounded through a resistor R4, an inverting input terminal of the operational amplifier U1 is connected to one terminals of resistors R6 and R7, an output terminal of the operational amplifier U1 is connected to the other terminal of the resistor R7 and the inverting input terminal of the operational amplifier U3, an inverting input terminal of the operational amplifier U3 is connected to the other terminal of the resistor R3 and one terminal of the resistor R3, an output terminal of the operational amplifier U3 is connected to the non-inverting input terminal of the composite stabilizing circuit, and the inverting input end of the operational amplifier U3 is connected with a resistor R10 and a capacitor C2 which are connected in parallel.
Preferably, the composite stabilizing circuit comprises transistors T1, T2 and a MOS transistor Q1, a base of the transistor T1 is connected to a cathode of a zener diode DZ1 and a pin 3 of a varistor RP1, an anode of the zener diode DZ1 is grounded, a pin 1 of the varistor RP1 is connected to a +5V power supply, a pin 2 of the varistor RP1 is grounded through a resistor R11, an emitter of the transistor T1 is grounded, a collector of the transistor T1 is connected to a cathode of a diode VD1, a base of the transistor T2 and one end of a resistor R12, an anode of the diode 86vd 28 and an emitter of a transistor T2 are connected to one end of a resistor R13 and a cathode of the zener diode DZ2, an anode of the zener diode DZ2 is grounded, the other end of the resistor R2 is connected to a gate of the MOS transistor Q2, a drain of the transistor Q2, a collector of the transistor Q2 is connected to an output end of the noise reduction filter circuit 2, and to ground through capacitor C3.
Preferably, the stress sensor is a foil type resistance strain gauge.
Preferably, the microprocessor is a CC2430 single chip microcomputer.
Preferably, the wireless transmission module is a ZigBee wireless module.
Through the technical scheme, the invention has the beneficial effects that:
1. the stress sampling signal amplifying circuit adopts the measuring amplifier to amplify the detection signal of the stress sensor, thereby well improving the input impedance, having good symmetry and high common mode rejection ratio, and further well avoiding the introduction of interference, avoiding the null shift interference precision by applying the differential amplification principle, effectively reducing the system error, eliminating the interference of periodic noise and pulse noise, and improving the output waveform of the detection signal;
2. the composite stabilizing circuit stabilizes the amplitude of an output signal of the stress sampling signal amplifying circuit and eliminates ripples, so that the resolution of the system is improved;
3. the noise reduction filter circuit can well eliminate external electromagnetic interference by using a low-pass filter principle, improves the Q value of the filter by using dual operational amplifier feedback adjustment, has a good low-pass filter effect, ensures that the filter process has good stability, can effectively filter interference in a strain detection signal, and greatly improves the processing precision of the stress detection signal;
4. the system has high monitoring precision and strong anti-interference capability, achieves high-precision acquisition and wireless transmission of the building structure strain signals, and obtains better monitoring effect.
Drawings
FIG. 1 is a block diagram of the system of the present invention.
Fig. 2 is a structural diagram of the front-end acquisition module according to the present invention.
Fig. 3 is a schematic diagram of a stress sampling signal amplifying circuit and a composite stabilizing circuit according to the present invention.
Fig. 4 is a schematic diagram of a noise reduction filter circuit according to the present invention.
Detailed Description
The foregoing and other technical matters, features and effects of the present invention will be apparent from the following detailed description of the embodiments, which is to be read in connection with the accompanying drawings of fig. 1 to 4. The structural contents mentioned in the following embodiments are all referred to the attached drawings of the specification.
Exemplary embodiments of the present invention will be described below with reference to the accompanying drawings.
As shown in fig. 1 and 2, a building structure strain wireless monitoring system based on the internet of things comprises a front-end acquisition module, a wireless transmission module and a background management server. The front end acquisition module comprises a stress sampling signal amplification circuit, a composite stabilizing circuit, a noise reduction filter circuit, an A/D converter and a microprocessor, wherein the stress sampling signal amplification circuit comprises a stress sensor for acquiring the deformation condition of the building structure, and when the stress sensor is specifically arranged, the stress sensor selects a foil type resistance strain gauge, is suitable for various elastomer materials and elastic structural forms, is simple and convenient to paste and is stable in performance and small in influence caused by temperature change.
As shown in fig. 3, the detection signal of the stress sensor is amplified by the measurement amplifier and sent to the composite stabilizing circuit, wherein the measurement amplifier specifically includes an operational amplifier U1, U2, and U3, a non-inverting input terminal of the operational amplifier U1 is connected to the resistor R1, one end of the capacitor C1, and the first output terminal of the stress sensor through the resistor R2, and is grounded through the resistor R4, a non-inverting input terminal of the operational amplifier U2 is connected to the resistor R1, the other end of the capacitor C1, and the second output terminal of the stress sensor through the resistor R4, an inverting input terminal of the operational amplifier U1 is connected to one ends of the resistors R6 and R7, an output terminal of the operational amplifier U1 is connected to the other end of the resistor R7 and an inverting input terminal of the operational amplifier U3, an inverting input terminal of the operational amplifier U2 is connected to the other end of the resistor R6 and one end of the resistor R8, an output terminal of the operational amplifier U2 is connected to the other end of the resistor, the output end of the operational amplifier U3 is connected with the input end of the composite stabilizing circuit, and is connected with the inverting input end of the operational amplifier U3 through a resistor R10 and a capacitor C2 which are connected in parallel.
Because the detection signal of the stress sensor belongs to a weak signal in millivolt level and is easily submerged in noise interference, the detection signal of the stress sensor is amplified by using the measuring amplifier. The stress sensor uses a full-bridge electric principle to form double outputs, two output signals of the stress sensor are respectively sent to non-inverting input ends of the operational amplifiers U1 and U2 after being stabilized by the capacitor C1, the operational amplifiers U1 and U2 form symmetrical non-inverting amplifiers to amplify two detection signals, input impedance can be well improved, the symmetry is good, and the stress sensor has a high common-mode rejection ratio, so that interference can be well prevented from being introduced. The operational amplifier U3 utilizes the subtractor principle to differentially output the output signals of the operational amplifiers U1 and U2, so that the stress detection signal can be accurately amplified, and the null shift interference precision can be avoided. The capacitor C2 plays a role in signal compensation in the amplification process of the operational amplifier U3, so that system errors are effectively reduced, interference of periodic noise and pulse noise is eliminated, and the output waveform of a detection signal is improved.
The composite stabilizing circuit is used for stabilizing the amplitude of an output signal of the stress sampling signal amplifying circuit and eliminating ripples, and comprises triodes T1 and T2 and an MOS tube Q1, wherein the base electrode of a triode T1 is connected with the cathode of a zener diode DZ1 and a pin 3 of a varistor RP1, the anode of the zener diode DZ1 is grounded, a pin 1 of a varistor RP1 is connected with a +5V power supply, a pin 2 of a varistor RP1 is grounded through a resistor R11, the emitter electrode of a triode T1 is grounded, the collector electrode of a triode T1 is connected with the cathode of a diode VD1, the base electrode of a triode T2 and one end of a resistor R12, the anode of a diode VD1 and the emitter electrode of a triode T2 are connected with one end of a resistor R13 and the cathode of a zener diode DZ2, the anode of a zener diode DZ2 is grounded, the other end of a resistor R13 is connected with the gate of an MOS tube Q1, the drain electrode of the MOS tube Q1, the collector electrode of the, the source of the MOS transistor Q1 is connected with the input end of the noise reduction filter circuit and is grounded through a capacitor C3.
The triodes T1 and T2 and the MOS transistor Q1 form a composite tube to perform stable processing on an output signal of the operational amplifier U3, the triodes T1 and T2 serve as reference tubes, the base voltage of the triode T1 is obtained by dividing a +5V power supply by the rheostat RP1 and the resistor R11 which are connected in series, the voltage stabilizing diode DZ1 plays a role in stabilizing the base voltage of the triode T1, and the base voltage value of the triode T1 can be changed by adjusting the resistance value of the rheostat RP1, so that the triode T1 achieves a stable working condition. When the output signal of the operational amplifier U3 flows through the collector of the transistor T2, and flows into the base of the transistor T2 (i.e., the collector of the transistor T1) after being shunted by the resistor R12, the output signal of the emitter of the transistor T2 is quickly calibrated in the steady state of operation of the transistor T1, so that the linearity of signal amplification output is improved, and the resolution of the system is improved. After the voltage stabilizing diode DZ2 stabilizes the output signal of the emitter of the transistor T2, a continuous and stable gate-on voltage is provided to the MOS transistor Q1 through the resistor R13, and the output signal of the MOS transistor Q1 is more stable by using the good temperature characteristic of the MOS transistor itself, so as to eliminate the text wave well.
As shown in fig. 4, the noise reduction filter circuit has a specific structure including a transistor T3, a transistor T4, an emitter of the transistor T3 is connected to a resistor R15, one end of a capacitor C4 and an output end of the composite stabilizing circuit through a resistor R14, another ends of the resistor R15 and the capacitor C4 are connected to an emitter of a transistor T4, a base and a collector of the transistor T3 are grounded to a base of the transistor T4 through a resistor R4, a collector of the transistor T4 is connected to a non-inverting input end of the operational amplifier U4 and is grounded through the resistor R4 and the capacitor C4 connected in parallel, an inverting input end of the operational amplifier U4 is connected to the resistor R4, one end of the capacitor C4 and an inverting input end of the operational amplifier U4, an output end of the operational amplifier U4 is connected to one end of the resistor R4, a drain of the MOS transistor Q4 and the non-inverting input end of the operational amplifier U4, and one end of the non-inverting input end of the operational amplifier U4 are connected to the non-inverting input end, the other end of the resistor R20 is grounded, the output end of the operational amplifier U5 is connected with the other end of the capacitor C6 and is connected with the emitter of the triode T4 through the resistor R21, the grid of the MOS transistor Q2 is connected with the other end of the resistor R22 and the cathode of the zener diode DZ3, the anode of the zener diode DZ3 is grounded, the source of the MOS transistor Q2 is connected with one end of the inductor L1 and one end of the capacitor C7, the other end of the inductor L1 is connected with one end of the capacitor C8 and the input end of the A/D converter, the other ends of the capacitors C7 and C8 are grounded, and the output end of the A/.
In the working process of the noise reduction filter circuit, in order to avoid interference of external high-frequency noise on a detection signal, an output signal of the MOS tube Q1 flows into a combined amplification circuit formed by a triode T3 and a triode T4, a resistor R15 and a resistor R17 and capacitors C4 and C5 form a second-order RC low-pass filter network in the combined amplification circuit, and the external electromagnetic interference can be well eliminated by utilizing the principle of a low-pass filter. In order to improve the filtering effect, the output signal of the triode T4 is sent into the operational amplifier U4 to be amplified in phase, the operational amplifier U5 is adopted to carry out depth feedback on the output signal of the U4, the Q value of the filter is regulated and improved by utilizing double operational amplifiers, the low-pass filtering effect is good, meanwhile, the filtering process is guaranteed to have good stability, and the interference in the strain detection signal can be effectively filtered. After being stabilized by the MOS tube Q2, the output signal of the operational amplifier U4 is sent to a pi-type LC filter consisting of capacitors C7, C8 and an inductor L1 for further accurate filtering, so that the processing accuracy of the stress detection signal is greatly improved.
The output signal of the noise reduction filter circuit is subjected to analog-to-digital conversion through an A/D converter and then sent to a microprocessor, and the microprocessor is used for remotely transmitting stress acquisition data to a background management server through a wireless transmission module. When the stress collection device is used specifically, the type of the CC2430 single chip microcomputer is selected as the microprocessor, the CC2430 single chip microcomputer continuously reads sampling data from the A/D converter, then the sampling data are sent to the wireless transmission module after internal processing, the wireless transmission module selects a ZigBee wireless module, and stress collection data are remotely transmitted to the background management server by utilizing the mature ZigBee technology.
The background management server carries out centralized management on the received stress acquisition data and carries out online real-time monitoring and judgment on each data, thereby realizing the remote monitoring of the building structure strain condition. The system has high monitoring precision and strong anti-interference capability, achieves high-precision acquisition and wireless transmission of the building structure strain signals, and obtains better monitoring effect.
While the invention has been described in further detail with reference to specific embodiments thereof, it is not intended that the invention be limited to the specific embodiments thereof; for those skilled in the art to which the present invention pertains and related technologies, the extension, operation method and data replacement should fall within the protection scope of the present invention based on the technical solution of the present invention.
Claims (6)
1. The utility model provides a building structure wireless monitoring system that meets an emergency based on thing networking, includes front end acquisition module, wireless transmission module and backstage management server, its characterized in that: the front-end acquisition module comprises a stress sampling signal amplification circuit, a composite stabilizing circuit, a noise reduction filter circuit, an A/D converter and a microprocessor, wherein the stress sampling signal amplification circuit comprises a stress sensor for acquiring deformation conditions of a building structure, and a detection signal of the stress sensor is amplified by a measurement amplifier and then sent to the composite stabilizing circuit; the composite stabilizing circuit is used for stabilizing the amplitude of the output signal of the stress sampling signal amplifying circuit and eliminating ripples, and then sending the processed detection signal into the noise reduction filter circuit;
the noise reduction filter circuit comprises triodes T3 and T4, an emitter of a triode T3 is connected with one end of a resistor R15 and a capacitor C4 and an output end of the composite stabilizing circuit through a resistor R14, the other ends of the resistor R15 and a capacitor C4 are connected with an emitter of a triode T4, a base and a collector of the triode T3 are grounded with a base of the T3 through a resistor R3, a collector of the triode T3 is connected with a non-inverting input end of an operational amplifier U3 and is grounded through a parallel resistor R3 and a capacitor C3, an inverting input end of the operational amplifier U3 is connected with one end of the resistor R3, one end of the capacitor C3 and an inverting input end of the operational amplifier U3, an output end of the operational amplifier U3 is connected with one end of the resistor R3, a drain of a MOS transistor Q3 and the other end of the resistor R3, the non-inverting input end of the operational amplifier U3 is connected with one end of the resistor R3, the other end of the resistor R3, the stress acquisition device is connected with an emitter of a triode T4 through a resistor R21, a grid electrode of an MOS tube Q2 is connected with the other end of the resistor R22 and a cathode of a voltage stabilizing diode DZ3, an anode of the voltage stabilizing diode DZ3 is grounded, a source electrode of an MOS tube Q2 is connected with one end of an inductor L1 and one end of a capacitor C7, the other end of an inductor L1 is connected with one end of the capacitor C8 and an input end of the A/D converter, the other ends of the capacitors C7 and C8 are grounded, an output end of the A/D converter is connected with the microprocessor, and the microprocessor is used for remotely transmitting stress acquisition data to the background management server through the wireless transmission module.
2. The wireless monitoring system of building structure strain based on the internet of things of claim 1, characterized in that: the measuring amplifier comprises operational amplifiers U1, U2 and U3, wherein the non-inverting input terminal of the operational amplifier U1 is connected with the first output terminal of the stress sensor through a resistor R2, one end of a capacitor C1 and the first output terminal of the stress sensor, and is grounded through a resistor R4, the non-inverting input terminal of the operational amplifier U2 is connected with the second output terminal of the stress sensor through a resistor R3, the other end of a resistor R1 and a capacitor C1, and is grounded through a resistor R4, the inverting input terminal of the operational amplifier U1 is connected with one ends of resistors R6 and R7, the output terminal of the operational amplifier U1 is connected with the other end of a resistor R7 and the inverting input terminal of the operational amplifier U3, the inverting input terminal of the operational amplifier U3 is connected with the other end of the resistor R3 and one end of the resistor R3, the output terminal of the operational amplifier U3 is connected with the non-inverting input terminal of the operational amplifier U3, and is grounded through a resistor R3, and the inverting input end of the operational amplifier U3 is connected with a resistor R10 and a capacitor C2 which are connected in parallel.
3. The wireless monitoring system of building structure strain based on the internet of things of claim 2, characterized in that: the composite stabilizing circuit comprises triodes T1 and T2 and an MOS transistor Q1, wherein the base electrode of the triode T1 is connected with the cathode of a voltage stabilizing diode DZ1 and a pin 3 of a rheostat RP1, the anode of the voltage stabilizing diode DZ1 is grounded, a pin 1 of the rheostat RP1 is connected with a +5V power supply, a pin 2 of the rheostat RP1 is grounded through a resistor R11, the emitter electrode of the triode T1 is grounded, the collector electrode of the triode T1 is connected with the cathode of a diode VD1, the base electrode of the triode T2 and one end of the resistor R12, the anode of the diode VD1 and the emitter electrode of the triode T2 are connected with one end of the resistor R13 and the cathode of the zener diode DZ2, the anode of the zener diode DZ2 is grounded, the other end of the resistor R13 is connected with the gate of the MOS tube Q1, the drain electrode of the MOS tube Q1, the collector electrode of the triode T2 and the other end of the resistor R12 are connected with the output end of the operational amplifier U3, and the source electrode of the MOS tube Q1 is connected with the input end of the noise reduction filter circuit and is grounded through the capacitor C3.
4. The internet of things-based building structure strain wireless monitoring system according to claim 1 or 3, wherein: the stress sensor adopts a foil type resistance strain gauge.
5. The internet of things-based building structure strain wireless monitoring system according to claims 1-4, wherein: the microprocessor is a CC2430 single chip microcomputer.
6. The wireless monitoring system of building structure strain based on the internet of things of claim 5, characterized in that: and the wireless transmission module adopts a ZigBee wireless module.
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| CN112594007A (en) * | 2020-12-01 | 2021-04-02 | 石家庄铁道大学 | Intelligent monitoring system for water inrush during deep tunnel construction |
| CN113552827A (en) * | 2021-07-21 | 2021-10-26 | 佛山市三水燃气有限公司 | Remote intelligent monitoring device for gas pipe settlement and working method thereof |
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