Multi-level data based classification and transmission optimization method and family monitoring gateway provided with the same

Abstract

The invention relates to a multi-level data based classification and transmission optimization method and a family monitoring gateway provided with the multi-level data classification and transmission optimization method. The method comprises the following steps: S01, receiving data transmitted from a family monitoring terminal; S02, marking the data; S03, classifying the data into real-time monitoring data, process monitoring data, regular monitoring data and terminal status data according to the marking; and S04, transmitting the classified data to an external network in sequence according to a level transmission strategy. According to the multi-level data based classification and transmission optimization method and the family monitoring gateway provided with the multi-level data based classification and transmission optimization method, data from information acquisition points are enabled to be properly preprocessed, and then effectively, reliably and economically transmitted to a data processing platform of the internet through a wired wide area network (WAN) or a wireless WAN, transmission times and data volume are effectively reduced, an optimal transmission time is found, and therefore the optimization of transmission cost is achieved.

Description

technical field [0001] The invention relates to a method based on multi-level data classification and transmission optimization and a home monitoring gateway. Background technique [0002] Existing gateways include home Internet gateways, smart home gateways, and monitoring gateways. These gateways have the following problems: [0003] 1. It is just simple data aggregation and transmission: lack of different processing for data with different urgency may lead to blocking of real-time data transmission; and these gateways lack any application-specific optimization: they are not optimized for the specific field of monitoring , resulting in a large number of outgoing network connections at a specific time, seriously affecting the performance of large-scale users; [0004] 2. There is no optimization for tariffs: One of the functions of the information gateway is to use the wide area network to transmit data outwards, which often involves payment to operators, and operators may...

AI Technical Summary

Problems solved by technology

[0003] 1. It is just simple data aggregation and transmission: lack of different processing for data with different urgency may lead to blocking of real-time data transmission; and these gateways lack any application-specific optimization: they are not optimized for the specific field of monitoring , resulting in a large number of outgoing network connections at a specific time, seriously affecting the performance of large-scale users;

[0004] 2. There is no optimization for tariffs: One of the functions of the information gateway is to use the wide area network to transmit data outwards, which often involves payment to operators, and operators may have various tariff structures, ranging from monthly fees, Depending on the traffic to the length of time, some also have different tariffs according to different time periods; gateways that have not been optimized often cannot achieve the lowest tariff, which is equivalent to increasing the cost of use

[0005] In addition, existing monitoring (home security, etc.) generally adopts a single strategy, that is, any alarm event data is transmitted in real time

As the Internet of Things, especially home monitoring, is used more and more widely, the amount of various data is increasing, and the transmission cost is getting higher and higher, which has become an obstacle to the popularization of home monitoring

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