No abstract

The rapid development of e-commerce and artificial intelligence technology has led to the rapid development of unmanned warehousing automation technology in the logistics industry. Unmanned warehousing and automated guided vehicle (AGV) equipment in unmanned warehousing have also increased. Since the AGV needs to be charged, based on the traditional simple path optimization, if the sorting efficiency of logistics needs to be further improved, the charging problem of the AGV needs to be considered. This paper constructs a multi-AGV path optimization model in an unmanned storage environment based on the charging utilization rate. The model takes the shortest path and the highest charging utilization rate as the dual goals, and selects the genetic algorithm as the method to solve the model, which is verified by simulation experiments. The proposed model and algorithm have certain validity and feasibility.

No abstract

Objective Through the analysis of the measurement data of paravertebral muscle cross-sectional area in normal people and patients with lumbar disease, the change of paravertebral muscle area in patients with lumbar disease was analyzed, and the accurate measurement of paravertebral muscle fat percentage provided a new objective evaluation basis for clinical judgment of lumbar disease. Methods The 150 patients with non-specific low back pain(LBP), 150 patients with lumbar disc herniation(LDH) and 150 healthy people were collected. The lumbar MRI was obtained from L3 to L5, and the upper endplate, intervertebral disc and lower endplate were three planes respectively, a total of 9 planes. Image J software was used to measure the area of erector spinae, psoas major muscles, multifidus muscles and fat infiltration area. The degree of LBP was scored by VAS and ODI. Result Compared with the normal male group and the female group, the fatty infiltration rate of the female paraspinal muscle is significantly higher than that of the male group, and there is a statistical difference(P < 0.05). There is a linear positive correlation between the fatty infiltration rate of normal paraspinal muscles and age, and the fatty infiltration rate increases significantly with age(P < 0.05). Compared with normal people,the fatty infiltration rate of paraspinal muscles in patients with LDH is significantly increased, and there is a statistical difference(P < 0.05). Compared with normal people, the fatty infiltration rate of paraspinal muscle in patients with LBP was significantly increased, and there was statistical difference(P < 0.05). There was a correlation between VAS score, ODI score and the fatty infiltration rate in patients with LBP, and the fatty infiltration rate gradually increased with the increase of score(P < 0.05). Conclusion In normal subjects, the fatty infiltration rate of paraspinal muscle was higher in female ,and the fatty infiltration rate of paraspinal muscle increased with age. Patients with LDH have a greater rate of fatty infiltration than normal subjects. The rate of fatty infiltration of patients with LBP is also higher than that of normal subjects, and the higher the VAS score and ODI score, the higher the fatty infiltration rate.

The computational efficiency of FORTRAN, C and Python languages in N-body simulation is investigated. The potential of these languages to promote the research of N-body simulation is therefore shown by this paper. Our work utilizes Particle-Particle (PP) algorithm, which not only balances the accuracy and efficiency, but also simplifies the traditional numerical calculation. The experimental results show that the computational efficiency of the three is almost the same in the case of a small number of particles, but FORTRAN shows the highest computational efficiency in the case of a large number of particles. The efficiency of Python is the lowest among three languages. The result suggests that FORTRAN is the best choice for N-body simulation, and Python should be used after optimizing the algorithm or working on extreme high-performance computers.