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Mobile intelligent device stream large data real-time processing method

A mobile smart device and real-time processing technology, which is applied in the field of data processing, can solve difficult problems such as processing, and achieve the effect of reducing the amount of processing, reducing the number, and improving computing efficiency

Inactive Publication Date: 2016-09-07
BEIJING ZHANGYU ZHISHU TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Massive real-time data streams (Live Data Stream) are difficult to process using traditional computer technologies (such as Java and Ruby), and the data obtained by mobile smart devices has variability in scenarios and geographical locations. Traditional processing methods have been far away. far from meeting the needs

Method used

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  • Mobile intelligent device stream large data real-time processing method

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Embodiment 1

[0041] A method for real-time processing of streaming big data from mobile medical smart devices, specifically comprising the following steps:

[0042] 1) Message Pre-processing (Message Pre-processing)

[0043] Massive data including geographic location information collected from wearable blood pressure and ECG dynamic monitoring devices are transmitted to the server through MQTT;

[0044] 2) Parallel Content Matching

[0045] On the server side, using the Spark Streaming module as a real-time computing engine, the real-time data stream transmitted in step 1) is divided into batches of 1 / 2 second.

[0046] 3) Conditional filtering

[0047] 3.1) Scene settings:

[0048] In low-pressure weather conditions, alert patients with high blood pressure or arrhythmia in plateau areas.

[0049] 3.2) Geofence filtering

[0050] On the visual interface of the geographical location information distribution of the mobile client obtained by the server, the overlapping area of ​​the low-pr...

Embodiment 2

[0058] A method for real-time processing of streaming big data from smart devices in the Internet of Vehicles, specifically comprising the following steps:

[0059] 1) Message Pre-processing (Message Pre-processing)

[0060] The CAN bus and K bus data collected from the vehicle OBD system through the 3G / 4G signal form a data set together with its geographic location information, and are sent to the server through MQTT;

[0061] 2) Parallel Content Matching

[0062] On the server side, the Spark Streaming module is used as the real-time calculation engine to divide the real-time data stream transmitted in step 1) into batches of 1 second.

[0063] 3) Conditional filtering

[0064] 3.1) Scene settings:

[0065] In extreme rain and snow weather, set up geo-fences for dangerous, continuous turning or accident-prone road sections to notify driving vehicles to pay attention to road conditions and drive safely;

[0066] 3.2) Geofence filtering:

[0067] Real-time data analysis i...

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Abstract

The invention provides the real-time processing method of the stream large data of a mobile intelligent device. The method comprises the steps that after the stream data from a mobile client is transmitted to a service end, the service end reduces a data amount through the modes of concurrent content matching, condition filtering and conversion transmission, and finally the data obtained after processing is used for subsequent application. According to the method of the invention, the initailly obtained large amount of data can be reduced greatly, thus the speed and efficiency of calculation are improved greatly, and finally effective and meaningful data in a specific scene can be applied by a back end or processed by service in real time. The invention also provides a system capable of completing the data processing method.

Description

technical field [0001] The invention relates to a data processing method, in particular to a real-time processing method for streaming big data between smart devices. Background technique [0002] With the rapid development of the Internet of Things (such as mobile medical and Internet of Vehicles), billions of smart devices (including computers and smartphones) are connected to the Internet, and this number is still growing exponentially. With the access of these devices, a large amount of data will be generated anytime and anywhere. Taking mobile medical care as an example, a large number of wearable or smart medical devices are connected to the Internet, and patients' consultation information (electronic medical records), physical status information (health records, etc.) ), geographical location information, medication information, environmental information of the location (for example: weather) and other massive information will be collected and stored in a formatted or...

Claims

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Application Information

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IPC IPC(8): H04L29/06H04L29/08H04W4/02
CPCH04L63/0227H04L67/12H04W4/021H04L67/52
Inventor 高旸张冰胡易
Owner BEIJING ZHANGYU ZHISHU TECH