A big data real-time monitoring system
A real-time monitoring and monitoring system technology, applied in the direction of logic circuit connection/interface layout, etc., can solve problems such as redundant data, affecting the transmission effect of Internet carrier signals, and error signals
Active Publication Date: 2021-03-30
武汉大数据产业发展有限公司
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Problems solved by technology
[0002] At present, big data refers to a huge data group collected from many sources in multiple forms, which is often real-time. However, the big data monitoring system needs to transmit more data signals. On the basis of real-time performance, data must also be guaranteed. The effectiveness of signal transmission, especially the transmission of carrier signals in big data monitoring systems, due to the different development conditions of factories, many small and medium-sized factories can only choose carrier signal transmission methods, but due to the real-time nature of big data and the characteristics of data redundancy, As a result, signal abnormalities are more serious during carrier signal transmission, often leading to signal loss, or even error signals, which seriously affect the effect of Internet carrier signal transmission
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Embodiment 1
[0011] Embodiment 1, a big data real-time monitoring system includes a waveform acquisition module and a feedback frequency modulation module. The waveform acquisition module uses a waveform collector J1 modeled as AD8318 to collect the carrier signal waveform of the signal transmitter in the big data monitoring system. The above-mentioned feedback frequency modulation module uses operational amplifier AR1 and transistor Q1 to form a noise reduction circuit to reduce the signal-to-noise ratio, and then uses transistor Q1 and capacitor C4, capacitor C5, and capacitor C9 to form a frequency modulation circuit to stabilize the signal frequency, and at the same time uses transistor Q4 and capacitor C6, capacitor C7 forms a synchronous separation circuit to divide the signal into two channels, one is the secondary signal, and the abnormal signal detection circuit is composed of the triode Q3 and the thyristor to feed back the abnormal signal to the inverting input terminal of the op ...
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The invention discloses a big data real-time monitoring system. The system comprises a waveform acquisition module and a feedback frequency modulation module, the waveform acquisition module uses a waveform collector J1 with a model of AD8318 to acquire carrier signal waveforms of a signal transmitter in a big data monitoring system, 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, a triode Q1, a capacitor C4, a capacitor C5 and a capacitor C9 are used to form a frequency modulationcircuit to stabilize the signal frequency; meanwhile, a triode Q4, a capacitor C6 and a capacitor C7 are used for forming a synchronous separation circuit to divide the signal into two paths, one path is a secondary signal, a triode Q3 and a silicon controlled rectifier form an abnormal signal detection circuit to feed back an abnormal signal to an inverting input end of an operational amplifierAR2, the second path is a main signal, the signal is buffered by an operational amplifier AR3 and then sent to a signal receiver of the big data real-time monitoring system through a signal emitter E1, so signal compensation calibration of the signal receiver of the big data real-time monitoring system is achieved.
Description
technical field [0001] The invention relates to the field of circuit technology, in particular to a big data real-time monitoring system. Background technique [0002] At present, big data refers to a huge data group collected from many sources in multiple forms, which is often real-time. However, the big data monitoring system needs to transmit more data signals. On the basis of real-time performance, data must also be guaranteed. The effectiveness of signal transmission, especially the transmission of carrier signals in big data monitoring systems, due to the different development conditions of factories, many small and medium-sized factories can only choose carrier signal transmission methods, but due to the real-time nature of big data and the characteristics of data redundancy, As a result, signal anomalies during carrier signal transmission are more serious, often leading to signal loss, or even error signals, which seriously affect the effect of Internet carrier signa...
Claims
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IPC IPC(8): H03K19/0175
CPCH03K19/0175
Inventor 张玉涛金鑫
Owner 武汉大数据产业发展有限公司