Introduction Hydraulic control technology of mechanical equipment has been widely used in mechanical fault detection and robustness protection and so on [1]。 How to determine the mechanical hydraulic mechanical transmission sys- tem in the structure of the detection scheme [2]? Ac- cording to the mechanical condition, setting the parameters of mechanical hydraulic control system and antenna matching is one of the key problems。 In the de- sign of mechanical hydraulic control module and the de- tection node, how to combine the mechanical speed and mechanical equipment working load effectively becomes the main factor that restricts the mechanical power and the economy [3]。71992

In view of the above problems, a series of research re- sults are obtained。 Pattison et al。 [4] reformulated a pyroclastic model to recover hydraulic conductivity with more appropriate fluid-flow boundary  conditions。 Using an  online  monitoring  system,  tests  were  carried  out in

article [5], which could be used to measure the mechan- ical characteristics of a hydraulic high-voltage circuit breaker。 The performance of hydraulic excavator with pump and valve was researched in article [6], which has been combined separate meter in and meter out circuits。 The metaphysics-coupled modeling was proposed and simulated by Bing et al。 [7], which has been used in the hydraulic-operating mechanism for a SF6 high-voltage circuit breaker。

The author of article [8]  provided  an  in-depth  look into how the systems have- or will be changed。 An esti- mator based on the iterated unscented Kalman filter al- gorithm was proposed to identify model parameters in article [9]。 The author in article [10] presented a fast method for calculating energy savings that would result from installing variable-frequency-drives on the seawater cooling pumps on ships。 The distributed generation sys- tem managed was proposed by a power converter with reduced number of components [11]。 The authors of art- icle [12] studied the sensor hysteresis modeling with the Preisach model and did the regression analysis with sup- port  vector machine。

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However, the above research results ignored the rela- tionship of mechanical hydraulic characteristics and sys- tem execution efficiency。 We proposed the analysis scheme of mechanical hydraulic characteristics based on lightweight crowd data in mobile embedded  devices。

2 Lightweight crowd data-driven model

On the analysis network of mobile machinery  equip- ment, we will simplify the machinery  and  equipment with mobility and embedded technology to solve the problems of hydraulic mechanical properties  of nonlin- ear filtering of coarse-grained service  detection。

A crowd lightweight data-driven analysis model with fine-grained characteristics is proposed。 The model in- cludes the control protocol of embedded nodes in ma- chinery equipment, the elimination mechanism of interference, the control protocol of transmission power, and the crowd data-driven   mechanism。

We assume that the mobile embedded nodes are de- ployed in a mechanical device with a hop detection sig- nal within the effective sensing radius。 The node  can sense the hydraulic real-time state of the mechanical equipment。  In the  characteristic  analysis  network  of the

dynamic  mechanical  equipment,  the  signal transmission