Distributed filtering network system and design method

Abstract

The invention relates to a distributed filtering network system and a design method. The system comprises the following parts: a filter network unit comprising filters distributed at different physical sites; a sensor sampling unit comprising vehicle-mounted sensors and filtering sensors, wherein the vehicle-mounted sensors are embedded in an automobile suspension system and acquire state information of the automobile suspension system, and the filtering sensors are embedded into the filters and acquire exchange information between the filters and set adjacent filters; and an event trigger unit comprising event triggers corresponding to the filters, wherein each event trigger determines event occurrence time of a corresponding filter, at the event occurrence time, the filters receive the automobile suspension system state information acquired by the corresponding vehicle-mounted sensors and the exchange information of the set adjacent filters, and otherwise, the filters do not act. Compared to the prior art, the system provided by the invention can satisfy the demand of multiple terminals for simultaneously obtaining data, can also effectively prevent filter network collapse, and is low in energy consumption, high in efficiency and high in stability.

Description

technical field [0001] The invention relates to a filtering system and a design method, in particular to a distributed filtering network system and a design method. Background technique [0002] With the sharp increase in the use of automobiles, the research on automobile ride comfort has attracted more and more attention, and it has also become one of the important performance indicators of automobiles. In the process of ride comfort analysis, accurate real-time dynamic information collection is the premise of accurate analysis. Although the commonly used data acquisition systems are effective, with the ever-increasing high-precision requirements, increasingly complex experimental environments and the interference of measurement noise, the existing data acquisition methods can no longer meet people's requirements. [0003] At present, most of the research is around the problem of product performance prediction, that is, in the automobile design stage, through the establish...

AI Technical Summary

Problems solved by technology

[0006] Although a single filter can realize the estimation of the vehicle state, sometimes there are situations where multiple performance evaluation sites need to receive vehicle information at the same time, or the failure of a single filter causes the interruption of the entire evaluation process

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