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A service management system based on big data

A technology of service management and big data, applied in the direction of transmission system, multiple input and output pulse circuits, electrical components, etc., can solve problems such as signal distortion, phase noise interference, phase noise accumulation, etc., to ensure accuracy and prevent signal Crossover distortion, the effect of great practical value

Active Publication Date: 2020-10-02
北京瞭望神州科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] "Big data" refers to a large data set collected from many sources in multiple forms, often in real time. Due to the increasing amount of data transmission now, it has led to continuous efforts to increase the amount of data transmission, especially It is a service management system that needs to transmit a large amount of data information in real time, and phase noise interference will occur during the information transmission process, especially in the transmission of high-frequency carrier signal, the phenomenon of phase noise accumulation is more serious, and it is easy to cause the signal received by the terminal of the service management system distortion

Method used

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  • A service management system based on big data
  • A service management system based on big data

Examples

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Embodiment 1

[0011] Embodiment 1. A service management system based on big data, including a signal sampling module and a separation and noise reduction module. The signal sampling module uses a signal sampler J1 model DAM-3056AH to process node signals in the big data service management system. Sampling, the separation and noise reduction module uses the operational amplifier AR1 and the transistor Q1 to form a synchronous separation circuit to separate the signal into two signals of different amplitudes, and one way uses the operational amplifier AR2, the operational amplifier AR4 and the transistor Q4 to form a noise reduction circuit filter In addition to the phase noise interference in the signal, the second circuit uses transistor Q2 and transistor Q3 to form a push-pull circuit to prevent signal crossover distortion, and uses the op amp AR3 to compare the signals, in which the triode Q5 feeds back a high-level signal to the op amp AR1 and op amp AR1. The inverting input terminal of t...

Embodiment 2

[0014] Embodiment 2. On the basis of Embodiment 1, the signal sampling module selects the signal sampler J1 of model DAM-3056AH to sample the node signals in the service management system of big data, and the power supply terminal of the signal sampler J1 is connected to the power supply + 5V, the ground terminal of the signal sampler J1 is grounded, the output terminal of the signal sampler J1 is connected to the negative pole of the voltage regulator D1, one end of the inductor L1, the positive pole of the voltage regulator D1 is grounded, the other end of the inductor L1 is connected to one end of the capacitor C1 and The other end of the resistor R1 and the other end of the capacitor C1 are grounded.

[0015] When the present invention is specifically used, a service management system based on big data includes a signal sampling module and a separation and noise reduction module. Node signal sampling, the separation noise reduction module The separation noise reduction mod...

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Abstract

The invention discloses a service management system based on big data, which comprises a signal sampling module and a separation and noise reduction module. The signal sampling module samples node signals in a big data service management system by using a signal sampler J1 with the model of DAM-3056AH. The separation and noise reduction module uses an operational amplifier AR1 and a triode Q1 to form a synchronous separation circuit to separate a signal into two paths of signals with different amplitudes. An operational amplifier AR2, an operational amplifier AR4 and a triode Q4 form a noise reduction circuit to filter out phase noise interference in a first path of signals, a triode Q2 and a triode Q3 form a push-pull circuit to prevent signal crossover distortion in a second path of signals, and finally, the two paths of signals are input into the in-phase input end of an operational amplifier AR5 together, and the signals are added and adjusted and then sent into a service management system terminal through a signal emitter E1. Node signals in the big data service management system can be sampled and adjusted and converted into correction reference signals of the service management system terminal.

Description

technical field [0001] The invention relates to the technical field of big data, in particular to a service management system based on big data. Background technique [0002] "Big data" refers to a large data set collected from many sources in multiple forms, often in real time. Due to the increasing amount of data transmission now, it has led to continuous efforts to increase the amount of data transmission, especially It is a service management system that needs to transmit a large amount of data information in real time, and phase noise interference will occur during the information transmission process, especially in the transmission of high-frequency carrier signal, the phenomenon of phase noise accumulation is more serious, and it is easy to cause the signal received by the terminal of the service management system distortion. Contents of the invention [0003] In view of the above situation, in order to overcome the defects of the prior art, the purpose of the pres...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B1/12H04B1/16H03H11/46H03K5/24
CPCH03H11/46H03K5/24H04B1/12H04B1/16
Inventor 杨齐鲁王方东徐晨旭王文文
Owner 北京瞭望神州科技有限公司
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