Intelligent bridge acceleration method and system based on dual-communication device

An intelligent bridge acceleration system based on a dual-communication device, wherein the system comprises:

• a household device;
• and
• a dual-communication device;
• wherein the household device and the dual-communication device is respectively installed with an intelligent network accelerator;
• the household device and the dual-communication device are located in a same LAN, and are connected to each other in a communication mode;
• wherein,
• the intelligent network accelerator is configured to intercept a data link, and forward a data packet to the dual-communication device in a same LAN, when an online interactive application is monitored to initiate a link at a client-side household device;
• based on the dual-communication device, the intelligent network accelerator obtains a target link, a WiFi is used as a primary path to perform data transmit-receive operations, and a WiFi transmission quality monitoring mechanism is enabled;
• when an abnormal data transmit-receive through the WiFi is monitored by the intelligent network accelerator using an enabled WiFi transmission quality monitoring mechanism, the dual-communication device starts a packet loss compensation strategy of a mobile data network, and the mobile data network is used as a secondary path for the data transmit-receive;
• when the intelligent network accelerator monitors that the data transmit-receive through the WiFi returns to normal, the dual-communication device stops the data transmit-receive operations through the secondary path;
• subsequently, the intelligent network accelerator continues to use the WiFi as the primary path to perform the data transmit-receive operations, and continues to perform a WiFi quality monitoring, wherein
• the intelligent network accelerator enabling the WiFi transmission quality monitoring mechanism comprises:
• using a transmission function W1(t) to represent the data transmission of the WiFi communication mode in LAN;
• and using a transmission function W2(t) to represent the data transmission of the mobile data network in the same LAN;
• calculating a difference between an output result Ci(t) and a convolution result of the input pulse function δ(t) and the transmission functions W1(t) and W2(t) d to obtain a consistency factor ηi:
• ηi=Ci(t)−∫−∞+∞δ(τ)Wi(t−τ)dτ;
• wherein, i=1 represents the WiFi communication mode, and i=2 represents the mobile data communication mode;
• if ηi=0, the two communication modes of WiFi and mobile data network are normal;
• if ηi≠0, the two communication modes of WiFi and mobile data network are abnormal;
• δ(t) is an input pulse function of dual path of a WiFi transmission path and a mobile data transmission path;
• when the communication modes are detected to be normal, denoting an acquired target link as M(t), monitoring the WiFi transmission quality in real time, and recording the WiFi transmission quality as Z(t);
• and
• comparing a monitored WiFi transmission quality Z(t) with a preset transmission quality threshold Z0, wherein
• when Z(t) is greater than or equal to Z0, the data transmit-receive through the WiFi transmission path is determined to be normal;
• and
• when Z(t) is smaller than Z0, the data transmit-receive through the WiFi transmission path is determined to be abnormal.