Weight of mechanical hydraulic transmission system

of system

Speed of transfer 2500 rpm

4 Performance analysis and verification

In this paper, based on the lightweight  crowd  data- driven, this paper presents  the  analysis  mechanism  of the  mobile  embedded  machine  hydraulic characteristics。

Driving power 145(kW)

Air flow rate 20(m3/s)

System initialization delay 2。5 min Maximum bear weight 2000 kg

In order to analyze and verify the performance of the proposed mechanism, we researched the hydraulic char- acteristics of the mechanical hydraulic drive system。 The mechanical  parameters  of the  drive system are shown in

Transmission efficiency

Transmission drag coefficient

85 % Evacuation time of

hydraulic pump

0。04 Motor displacement of hydraulic pump

Table 2 Parameter settings of mobile embedded node

Parameters Value Descriptions of system Value

Radio frequency of antenna 2。4 GHz Communication protocol IEEE 802。11n

Transmission rate 300 Mbps Number of antenna 3

Working power 5 V Battery capacity 5200 mAh

Weight 0。8 kg Data frame length 1024 Bytes

From Fig。 5, it is found that with the increase of working load, the static node is difficult to analyze the hydraulic output torque。 When the working load ratio  is  greater than 40 %, the output  torque  remains  the  same。 When the work load ratio is greater than 70 %, there is a sud- den drop, resulting in a large error analysis。 The conclu- sion is not reliable。 Because of the dynamic node, according to its own residual energy and output power, the three-point positioning switch, a full range of mech- anical equipment to monitor the hydraulic output characteristics, and real-time statistical hydraulic output torque have a strong  credibility。

The results of the second experiment are  shown  in Figs。 6 and 7。 In Fig。 6, the horizontal coordinate is mon- itoring time hydraulic。  The  longitudinal  coordinate  is the position tracking error。 Figure 6 compares the em- bedded mobile node tracking position error of hydraulic analysis algorithm with crowd lightweight data-driven al- gorithm (HA-CLDD) and hydraulic analysis algorithm with data-driven (HA-DD) based on lightweight crowd data-driven hydraulic analysis。 Lightweight data-driven hydraulic analysis algorithm could provide the perform- ance guarantee of the long  time  monitoring。  Based on the duty cycle and the working load of the mechanical hydraulic   pump,   the   lightweight   crowd     data-driven

scheme could adjust the efficiency of the system to pro- vide the accurate RF information for mobile embedded nodes。

Y-axis of Fig。 7 is a natural stop ratio。 Figure 7 gives the comparison analytical results of the natural stop ratio based on the mechanical and hydraulic properties of em- bedded mobile node with mechanical hydraulic character- istic analysis (W-MHCA) and hydraulic characteristic analysis of mechanical transmission system (WO-MHCA)。 We completed a 100-min test of mechanical transmission system。