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。 液压在移动嵌入式设备中特性英文文献和中文翻译(4):http://www.youerw.com/fanyi/lunwen_81801.html