CN111245427A - Big data real-time monitoring system - Google Patents
Big data real-time monitoring system Download PDFInfo
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- CN111245427A CN111245427A CN202010038614.4A CN202010038614A CN111245427A CN 111245427 A CN111245427 A CN 111245427A CN 202010038614 A CN202010038614 A CN 202010038614A CN 111245427 A CN111245427 A CN 111245427A
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- H03—ELECTRONIC CIRCUITRY
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Abstract
The invention discloses a big data real-time monitoring system, which comprises a waveform acquisition module and a feedback frequency modulation module, wherein the waveform acquisition module adopts a waveform collector J1 with the model number of AD8318 to acquire the carrier signal waveform of a signal transmitter in the big data monitoring system, the feedback frequency modulation module adopts a noise reduction circuit consisting of an operational amplifier AR1 and a triode Q1 to reduce the signal-to-noise ratio, then adopts a triode Q1, a capacitor C4, a capacitor C5 and a capacitor C9 to form a frequency modulation circuit to stabilize the signal frequency, simultaneously adopts a synchronous separation circuit consisting of the triode Q4, the capacitor C6 and the capacitor C7 to divide the signal into two paths, one path is a secondary signal, adopts an abnormal signal detection circuit consisting of the triode Q3 and a controllable silicon to feed an abnormal signal back into an inverse input end of an operational amplifier AR2, adopts two paths as a main signal, adopts an operational amplifier AR3 to buffer the signal and then sends the signal to a big data, the signal compensation calibration of the large data real-time monitoring system signal receiver is realized.
Description
Technical Field
The invention relates to the technical field of circuits, in particular to a big data real-time monitoring system.
Background
At present, big data refers to a huge data set collected from a plurality of sources in a multivariate form, which often has real-time performance, a big data monitoring system needs to transmit more data signals, and on the basis of the real-time performance, the validity of data signal transmission needs to be ensured, especially, the transmission of carrier signals in the big data monitoring system is ensured.
Disclosure of Invention
In view of the above situation, and in order to overcome the defects in the prior art, an object of the present invention is to provide a big data real-time monitoring system, which has the characteristics of ingenious design and humanized design, and can adjust the carrier waveform signal of the signal transmitter in the big data monitoring system and convert the carrier waveform signal into a compensation calibration signal of the signal receiver of the big data real-time monitoring system.
The technical scheme includes that the big data real-time monitoring system comprises a waveform acquisition module and a feedback frequency modulation module, wherein the waveform acquisition module adopts a waveform collector J1 with the model number of AD8318 to acquire the carrier signal waveform of a signal transmitter in the big data monitoring system, the feedback frequency modulation module adopts an operational amplifier AR1 and a triode Q1 to form a noise reduction circuit to reduce the signal-to-noise ratio, then adopts a triode Q1, a capacitor C4, a capacitor C5 and a capacitor C9 to form a frequency modulation circuit to stabilize the signal frequency, simultaneously adopts a triode Q4, a capacitor C6 and a capacitor C7 to form a synchronous separation circuit to divide a signal into two paths, one path is a secondary signal, adopts a triode Q3 and a thyristor to form an abnormal signal detection circuit to feed back an abnormal signal to the anti-phase input end of the operational amplifier AR2, the operational amplifier AR2 compares a base signal of a triode Q2 with a feedback signal to adjust the ratio of two paths, and the two paths of signals are main signals, and the signals are buffered by using an operational amplifier AR3 and then are sent to a signal receiver of the big data real-time monitoring system through a signal transmitter E1.
Due to the adoption of the technical scheme, compared with the prior art, the invention has the following advantages;
1. an operational amplifier AR1 and a triode Q1 are used for forming a noise reduction circuit to reduce the signal-to-noise ratio, a triode Q1 is used for detecting a high-level signal, the electric potential of an emitter of a triode Q1 is adjusted by using the charging and discharging process of a capacitor C3, namely, the peak effect of a collector of the triode Q1 is adjusted, the peak effect of a signal at the output end of the operational amplifier AR1 is filtered, the signal-to-noise ratio is reduced, then a frequency modulation circuit stable signal frequency is formed by using a triode Q1, a capacitor C4, a capacitor C5 and a capacitor C9, a capacitor C4 and a capacitor C5 are used for filtering low-frequency harmonics of the signal, an inductor L4 is used for filtering high-frequency harmonics, and meanwhile, a capacitor C9;
2. an abnormal signal detection circuit consisting of a triode Q3 and a thyristor feeds an abnormal signal back to the inverting input end of an operational amplifier AR2, the operational amplifier AR2 compares a base signal of the triode Q2 with a feedback signal, adjusts the ratio of two paths of signals of an output signal of a synchronous separation circuit, detects the abnormal signal by using the switching properties of the triode Q3 and the thyristor VTL1, and the operational amplifier AR2 plays a role of comparing the signals, when no abnormal signal exists, the feedback signal is zero, the operational amplifier AR2 plays a role in buffering signals, otherwise, the operational amplifier AR2 compares the signals and improves the potential of one path of signals, so that the signals can be further fed back and adjusted, the signal amplitude is stabilized, two paths of signals are main signals, the operational amplifier AR3 buffers the signals and then sends the signals to the big data real-time monitoring system signal receiver through the signal transmitter E1, and the signal compensation calibration of the big data real-time monitoring system signal receiver is realized.
Drawings
Fig. 1 is a feedback frequency modulation block diagram of a big data real-time monitoring system according to the present invention.
Fig. 2 is a block diagram of a waveform acquisition of a big data real-time monitoring system according to the present invention.
Detailed Description
The foregoing and other aspects, features and advantages of the invention will be apparent from the following more particular description of embodiments of the invention, as illustrated in the accompanying drawings in which reference is made to figures 1-2. The structural contents mentioned in the following embodiments are all referred to the attached drawings of the specification.
The embodiment I provides a big data real-time monitoring system, which comprises a waveform acquisition module and a feedback frequency modulation module, wherein the waveform acquisition module adopts a waveform collector J1 with the model number of AD8318 to acquire the carrier signal waveform of a signal transmitter in the big data monitoring system, the feedback frequency modulation module adopts a noise reduction circuit consisting of an operational amplifier AR1 and a triode Q1 to reduce the signal-to-noise ratio, then adopts a triode Q1, a capacitor C4, a capacitor C5 and a capacitor C9 to form a frequency modulation circuit to stabilize the signal frequency, simultaneously adopts a synchronous separation circuit consisting of a triode Q4, a capacitor C6 and a capacitor C7 to divide the signal into two paths, one path is a secondary signal, adopts a triode Q3 and a thyristor to form an abnormal signal detection circuit to feed the abnormal signal back to the reverse phase input end of the operational amplifier AR2, the operational amplifier AR2 compares the base signal of a triode Q2 with the feedback signal to adjust the ratio, two paths of signals are main signals, and the signals are buffered by an operational amplifier AR3 and then sent to a signal receiver of the big data real-time monitoring system through a signal transmitter E1;
the feedback frequency modulation module uses an operational amplifier AR1 and a triode Q1 to form a noise reduction circuit to reduce the signal-to-noise ratio, uses a triode Q1 to detect a high-level signal, uses the charging and discharging processes of a capacitor C3 to adjust the emitter potential of a triode Q1, namely, realizes the peak effect of the collector of the triode Q1, and passes the peak of the output end signal of the operational amplifier AR1 to realize the signal-to-noise ratio reduction effect, then uses a triode Q1, a capacitor C4, a capacitor C5 and a capacitor C9 to form a frequency modulation circuit to stabilize the signal frequency, uses a capacitor C4 and a capacitor C5 to filter low-frequency harmonics of the signal, an inductor L4 to filter high-frequency harmonics, uses a capacitor C9 as an adjustable capacitor to adjust the frequency range of the output signal, uses a triode Q8, a capacitor C6 and a capacitor C7 to form a synchronous separation circuit to divide the signal into two paths, one path is an auxiliary signal, and uses a triode Q3 and a silicon, the operational amplifier AR2 compares a base signal of the triode Q2 with a feedback signal, adjusts the ratio of two paths of signals of an output signal of the synchronous separation circuit, detects an abnormal signal by using the switching property of the triode Q3 and the thyristor VTL1, the operational amplifier AR2 plays a role of comparing signals, when no abnormal signal exists, the feedback signal is zero, the operational amplifier AR2 plays a role of buffering signals, otherwise, the operational amplifier AR2 compares signals and improves the potential of one path of signals, so that the adjustment signal can be fed back further, the signal amplitude is stabilized, two paths of signals are main signals, the signals are buffered by the operational amplifier AR3 and then are sent to the large data real-time monitoring system signal receiver through the signal transmitter E1, namely, the signals are converted into a compensation calibration signal of the large data real-time monitoring system signal receiver;
the feedback frequency modulation module has a specific structure that a non-inverting input end of an operational amplifier AR1 is connected with one end of a resistor R1 and one end of a capacitor C1, an inverting input end of the operational amplifier AR1 is connected with one end of the resistor R1 and one end of the resistor R1, the other end of the resistor R1 is connected with the other end of the resistor R1, an output end of the operational amplifier AR1 is connected with a collector of a transistor Q1 and the other end of the resistor R1, one end of the capacitor R1 and one end of the capacitor C1, a base of the transistor Q1 is connected with the other end of the resistor R1, an emitter of the transistor Q1 is connected with one end of the capacitor C1, the other end of the capacitor C1 is connected with the ground, the other end of the resistor R1 is connected with a collector of the transistor Q1, the other end of the base of the transistor Q1 and one end of the capacitor C1, one end of an inductor L1 and the non-inverting input end of the capacitor C1 of the operational amplifier AR1, an emitter of the transistor Q36, One end of a capacitor C, one end of a capacitor C and one end of a resistor R, the other end of the capacitor C is connected with the other end of an inductor L, the other end of the resistor R is grounded, the other end of the capacitor C is connected with one end of a resistor R, the output end of an operational amplifier AR and one end of the resistor R, the other end of the resistor R is connected with the base electrode of a triode Q and one end of a resistor RW, the collector electrode of the triode Q is connected with one end of the resistor R, the other end of the resistor R and the other end of the resistor RW are grounded, the emitter electrode of the triode Q is connected with the other end of the resistor R, the non-inverting input end of the operational amplifier AR and the anode of a diode D, the cathode electrode of the diode D is connected with the collector electrode of the triode Q and one end of the resistor R, the base electrode of the triode Q is connected with the anode electrode of a regulator D, the other end of the resistor R is, the negative electrode of the controlled silicon VTL1 is connected with one end of a resistor R4, the control electrode of the controlled silicon VTL1 is connected with the positive electrode of a voltage regulator tube D4, one end of a resistor R3 and one end of a capacitor C10, the other ends of the resistor R3 and the capacitor C10 are grounded, the other end of the resistor R4 is connected with the inverted input end of an amplifier AR2, the other end of the capacitor C2 and one end of a resistor R4, the other end of the resistor R4 is grounded, the inverted input end of the amplifier AR3 is connected with one end of a resistor R12, and the output end of the amplifier AR3 is connected with the other end of a resistor R12 and.
On the basis of the scheme, the waveform acquisition module adopts a waveform acquisition device J1 acquisition device J1 with the model number of AD8318 to acquire the carrier signal waveform of a signal transmitter in a big data monitoring system, a diode D1 and a diode D3 limit the signal potential, the power supply end of the waveform acquisition device J1 is connected with +5V, the grounding end of the waveform acquisition device J1 is grounded, the output end of the waveform acquisition device J1 is connected with one end of an inductor L1 and the cathode of a voltage stabilizing tube D11, the other end of the inductor L1 is connected with the other end of a resistor R1, the anode of a diode D3 and the cathode of the diode D2, the cathode of a diode D3 is connected with +5V, and the anode of a diode D2 and the anode of the voltage stabilizing tube D1.
When the invention is used in detail, the big data real-time monitoring system comprises a waveform acquisition module and a feedback frequency modulation module, wherein the waveform acquisition module adopts a waveform collector J1 with the model number of AD8318 to acquire the carrier signal waveform of a signal transmitter in the big data monitoring system, the feedback frequency modulation module adopts an operational amplifier AR1 and a triode Q1 to form a noise reduction circuit to reduce the signal-to-noise ratio, adopts a triode Q1 to detect a high-level signal, simultaneously adopts the charge and discharge process of a capacitor C3 to adjust the emitter potential of a triode Q1, namely realizes the adjustment of the peak effect of a collector of the triode Q1, filters the signal peak at the output end of the operational amplifier AR1 to realize the effect of reducing the signal-to-noise ratio, then adopts a triode Q1, a capacitor C4, a capacitor C5 and a capacitor C9 to form a frequency modulation circuit to stabilize the signal frequency, adopts a capacitor C4 and a capacitor C38, meanwhile, the capacitor C9 is an adjustable capacitor, which has the function of adjusting the frequency range of the output signal, the triode Q4, the capacitor C6 and the capacitor C7 are used to form a synchronous separation circuit to divide the signal into two paths, one path is an auxiliary signal, the triode Q3 and the controlled silicon are used to form an abnormal signal detection circuit to feed the abnormal signal back to the inverting input end of the operational amplifier AR2, the operational amplifier AR2 compares the base signal of the triode Q2 with the feedback signal to adjust the ratio of the two paths of signals of the output signal of the synchronous separation circuit, the switching properties of the triode Q3 and the controlled silicon VTL1 are used to detect the abnormal signal, the operational amplifier AR2 has the function of comparing the signal, when the abnormal signal does not exist, the feedback signal is zero, the operational amplifier AR2 plays the role of buffering the signal, on the contrary, the operational amplifier AR2 compares the signal to improve the potential of the signal of the path, which is convenient, the signal is buffered by the operational amplifier AR3 and then transmitted to the big data real-time monitoring system signal receiver through the signal transmitter E1, that is, the signal is converted into a compensation calibration signal of the big data real-time monitoring system signal receiver.
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 (2)
1. A big data real-time monitoring system comprises a waveform acquisition module and a feedback frequency modulation module, and is characterized in that the waveform acquisition module acquires the carrier signal waveform of a signal transmitter in the big data monitoring system by using a waveform acquisition device J1 with the model number of AD8318, the feedback frequency modulation module uses an operational amplifier AR1 and a triode Q1 to form a noise reduction circuit to reduce the signal-to-noise ratio, then uses a triode Q1, a capacitor C4, a capacitor C5 and a capacitor C9 to form a frequency modulation circuit to stabilize the signal frequency, simultaneously uses a triode Q4, a capacitor C6 and a capacitor C7 to form a synchronous separation circuit to divide the signal into two paths, one path is a secondary signal, uses a triode Q3 and a thyristor to form an abnormal signal detection circuit to feed the abnormal signal back to the reverse phase input end of the operational amplifier AR2, the operational amplifier AR2 compares the base signal of a triode Q2 with the feedback signal to adjust the ratio of, two paths of signals are main signals, and the signals are buffered by an operational amplifier AR3 and then sent to a signal receiver of the big data real-time monitoring system through a signal transmitter E1;
the feedback frequency modulation module comprises an operational amplifier AR, wherein the non-inverting input end of the operational amplifier AR is connected with one end of a resistor R and one end of a capacitor C, the inverting input end of the operational amplifier AR is connected with one end of the resistor R and the other end of the resistor R, the output end of the operational amplifier AR is connected with the collector electrode of a triode Q, the resistor R, one end of the capacitor C and the other end of the capacitor C, the base electrode of the triode Q is connected with the other end of the resistor R, the emitter electrode of the triode Q is connected with one end of the capacitor C, the other end of the capacitor C is connected with the ground, the other end of the resistor R is connected with the collector electrode of the triode Q, the base electrode of the triode Q is connected with the other end of the resistor R, the capacitor C, one end of an inductor L and the non-inverting input end of the operational amplifier AR, the emitter electrode of the triode Q, One end of a capacitor C, one end of a capacitor C and one end of a resistor R, the other end of the capacitor C is connected with the other end of an inductor L, the other end of the resistor R is grounded, the other end of the capacitor C is connected with one end of a resistor R, the output end of an operational amplifier AR and one end of the resistor R, the other end of the resistor R is connected with the base electrode of a triode Q and one end of a resistor RW, the collector electrode of the triode Q is connected with one end of the resistor R, the other end of the resistor R and the other end of the resistor RW are grounded, the emitter electrode of the triode Q is connected with the other end of the resistor R, the non-inverting input end of the operational amplifier AR and the anode of a diode D, the cathode electrode of the diode D is connected with the collector electrode of the triode Q and one end of the resistor R, the base electrode of the triode Q is connected with the anode electrode of a regulator D, the other end of the resistor R is, the negative electrode of the controlled silicon VTL1 is connected with one end of a resistor R4, the control electrode of the controlled silicon VTL1 is connected with the positive electrode of a voltage regulator tube D4, one end of a resistor R3 and one end of a capacitor C10, the other ends of the resistor R3 and the capacitor C10 are grounded, the other end of the resistor R4 is connected with the inverted input end of an amplifier AR2, the other end of the capacitor C2 and one end of a resistor R4, the other end of the resistor R4 is grounded, the inverted input end of the amplifier AR3 is connected with one end of a resistor R12, and the output end of the amplifier AR3 is connected with the other end of a resistor R12 and.
2. The big data real-time monitoring system as claimed in claim 1, wherein the waveform acquisition module comprises a waveform collector J1 with model number AD8318, a power supply terminal of the waveform collector J1 is connected with +5V, a ground terminal of the waveform collector J1 is connected with ground, an output terminal of the waveform collector J1 is connected with one end of an inductor L1 and a cathode of a voltage regulator tube D11, the other end of the inductor L1 is connected with the other end of a resistor R1 and an anode of a diode D3 and a cathode of a diode D2, a cathode of the diode D3 is connected with +5V, and an anode of a diode D2 and an anode of the voltage regulator tube D1 are connected with ground.
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| CN111983446A (en) * | 2020-08-31 | 2020-11-24 | 郑州铁路职业技术学院 | Railway signal relay real-time positioning monitoring system |
| CN112187299A (en) * | 2020-10-14 | 2021-01-05 | 深圳市洛奇机电科技有限公司 | Logistics Internet of things positioning and calibrating system |
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