Multi-modal monitoring data dynamic compression control method in unstable network environment

Abstract

The invention relates to a multi-modal monitoring data dynamic compression method in an unstable network environment, which takes three stages of compression, transmission and decompression as targetmodeling, predicts an unstable network state, introduces a dynamic compression ratio adjustment process, and saves the time consumption of data compression, transmission and decompression. Compared with a transmission optimization method based on lossless data compression, the transmission time consumption optimization method based on the dynamic compression ratio has the advantage that the effectof reducing the transmission time consumption is better.

Description

technical field [0001] The invention relates to the technical field of wireless network data compression, in particular to a monitoring data dynamic compression control method in an unstable network environment. Background technique [0002] At present, the industrial production scale, structure and function of various system objects (such as industrial production, large-scale equipment and systems, etc.) are becoming more and more complex. The overall monitoring of such objects usually requires multi-source perception, multi-terminal collection, and multi-channel network transmission. Collecting and distributing multi-modal monitoring data to the decision-making layer, the overall decision-making level has a very close relationship with the data scale and characteristics of the system objects and the network transmission environment. Among them, there are the following problems in monitoring data transmission efficiency: [0003] 1. Due to the large number of monitoring da...

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Problems solved by technology

[0003] 1. Due to the large number of monitoring data source nodes, the collection frequency of various types of data is different, and the functional points have different spatial location distributions, this leads to a large scale of data that needs to be transmitted and may have intermittent outbreaks. The remote network data transmission pressure is very high

[0004] 2. Most of the media used to transmit monitoring data is a decentralized network, and its network transmission environment has high uncertainty. Due to the irregular fluctuation of data transmission rate during the system operation cycle, the data transmission delay is unstable and prone to hysteresis , out-of-order, packet loss and other unfavorable conditions

The purpose of this comparison document is to establish a mathematical model and solve it with the goal of optimal energy consumption. It does not model with the goal of time optimization. Therefore, the mathematical model formula composed of compression, transmission, and decompression is not disclosed, and the constraints are established. It is not the same; the comparison file did not take into account the unstable network conditions during the calculation process, did not predict the current network, and did not compare the predicted value of the network transmission rate with the actual value, so it cannot be applied to an unstable network

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