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Multi-path data classification type big data acquisition method

A technology of data classification and collection method, applied in other database clustering/classification, other database retrieval, signal transmission system and other directions, can solve the problems of high investment cost, system load operation, excessive data information, etc., and achieve efficient data collection. , the effect of reducing investment costs and improving overall efficiency

Inactive Publication Date: 2020-06-02
NANJING TAOTESI SOFTWARE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a multi-channel data classification type big data collection method to solve the problem of using wired transmission in the above background technology, which requires laying a large number of cables, resulting in large initial investment costs and excessive data information in the database. Whether it is data uploading or data classification, it will cause problems in system load operation

Method used

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  • Multi-path data classification type big data acquisition method
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  • Multi-path data classification type big data acquisition method

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Embodiment 1

[0032] The present invention provides a multi-channel data classification type big data acquisition method, such as figure 1 shown, including the following steps:

[0033] S1. Collect front-end data: set multiple data collection nodes on the front-end, and collect front-end data in real time through multiple data collection nodes;

[0034] S2. Data upload: uniformly transmit the data collected by the collection node to the receiving extension;

[0035] S3. Data classification: classify the data collected by the collection node through the receiving extension;

[0036] S4. Data transmission: according to the different classification results of the collected data, transmit them to the corresponding transmission extension, and save the data;

[0037] S5. Establishing a database: uploading the data stored in different transmission extensions to the cloud database, and establishing a general database.

[0038] In this embodiment, the collection node is a sensor, and the sensor i...

Embodiment 2

[0041] As the second embodiment of the present invention, in order to facilitate the collection of front-end data, the present invention also improves the collection node, as a preferred embodiment, such as figure 2 As shown, the acquisition node includes an acquisition module, a signal conditioning module, a sample-and-hold module, an A / D conversion module, and a single-chip microcomputer module; the acquisition module is used to collect front-end data; the signal conditioning module is used to perform signal conversion on the analog output of each sensor, Make it adapt to the requirements of the input signal of the input terminal of the analog / digital converter; the sample and hold module is used to convert the continuous signal into a discontinuous sampling signal, and then convert the discontinuous sampling signal into a continuous signal; the A / D conversion module is used It is used to convert the analog signal into a digital signal; the single-chip microcomputer module i...

Embodiment 3

[0059] As a third embodiment of the present invention, in order to facilitate data transmission between the collection node and the receiving extension, in this embodiment, the data collected by the collection node is transmitted to the receiving extension through wireless transmission.

[0060] Specifically, wireless transmission is based on the design of NRF401 wireless transmission chip. NRF401 has only 20 pins, and its pins and volume are small, which is convenient for PCB packaging. Strong capability, especially suitable for industrial control occasions, using DSS+PLL frequency synthesis technology, excellent frequency stability, sensitivity up to -105dBm; low power consumption, receiving standby current, the current is only 8UA, the maximum transmission power is 10dBm, low working voltage (2.7V) can meet the requirements of low-power equipment, has multiple channels, and can easily switch the working frequency. It is especially suitable for occasions that require multi-ch...

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Abstract

The invention relates to the technical field of big data acquisition, in particular to a multipath data classification type big data acquisition method which comprises the steps of front-end data acquisition, data uploading, data classification, data transmission and database establishment. In the multi-path data classification type big data acquisition method, a plurality of data acquisition nodes are arranged at the front end, the front-end data is acquired in real time through the plurality of data acquisition nodes, the complete front-end data acquisition system is established, and the data acquired by the acquisition nodes is transmitted to the receiving extension sets in a wireless transmission manner, so that the line laying is reduced, the early-stage investment cost is reduced, atthe same time, the data collection is efficient, and the speed is high. By classifying the data collected by the collection nodes through a classification algorithm and keeping the data in the transmission extension sets, the intensive storage of the data is achieved, and a good foundation is laid for database establishment. Meanwhile, the classified transmission enables the system load operationto be reduced, and the overall efficiency to be further improved.

Description

technical field [0001] The invention relates to the technical field of big data collection, in particular to a multi-channel data classification type big data collection method. Background technique [0002] Big data information technology is closely related to our life, whether it is in the field of IoT logistics, network social networking, e-commerce, telemedicine, etc., we can see the epitome of big data information technology. Most of the existing collected data is transmitted by wire, and the data collection system is not complete, so it is impossible to form a front-end collection system. With the increase of front-end data collection, using wired transmission requires laying a large number of cables, resulting in a large initial investment cost. , and at the same time, after the front-end data is collected, the collected data are directly stored in the cloud database, and pooled classification is performed in the database. However, due to the large amount of data info...

Claims

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Application Information

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IPC IPC(8): G08C17/02H04L29/08G06F16/906
CPCG06F16/906G08C17/02H04L67/10H04L67/12
Inventor 金龙飞吴小邦陶波
Owner NANJING TAOTESI SOFTWARE TECH CO LTD
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