2021, 13(1): 77-82. doi: 10.16670/j.cnki.cn11-5823/tu.2021.01.12
基于BIM技术的任意油箱剩余油量计算方法
中国中铁四局集团管理与技术研究院,合肥 230023 |
The Calculation Method of Residual Oil Volume for Arbitrary Oil Tank Based on BIM Technology
Management and Technology Institute of China Tiesiju Civil Engineering Group Co., Ltd., Hefei 230023, China |
引用本文: 尹君, 于健. 基于BIM技术的任意油箱剩余油量计算方法[J]. 土木建筑工程信息技术, 2021, 13(1): 77-82. doi: 10.16670/j.cnki.cn11-5823/tu.2021.01.12
Citation: Yin Jun, Yu Jian. The Calculation Method of Residual Oil Volume for Arbitrary Oil Tank Based on BIM Technology[J]. Journal of Information Technologyin Civil Engineering and Architecture, 2021, 13(1): 77-82. doi: 10.16670/j.cnki.cn11-5823/tu.2021.01.12
摘要:为了提高任意油箱油量监测的精度,本文首先利用BIM技术建立目标油箱的三维模型,之后随机选取不同高度值剖切模型模拟油料液位变化的过程; 借助BIM算量功能,求出油箱总体积和每次剖切后的剩余模型体积; 最后采用最小二乘法对剖切高度比和油箱体积比进行多项式拟合,求出目标油箱油料消耗曲线。因BIM技术具有适应性强的特点,可以建立任意形状油箱模型并能快速计算其体积。并通过对比四种异形油箱的月实际加油量和系统加油量,证明了本方法的可行性,且达到了96.39%的准确率。相比较其他计算方法,该方法操作简单、成本低、精度高,在工程机械油量监测领域具有极为广泛的应用前景。
Abstract: In order to improve the monitoring accuracy of oil volume for arbitrary oil tank, the three-dimensional model of the target oil tank was established at first, using BIM technology in this paper, and then the model will be cut several times with different height that selected at random to simulate the changing process of oil level. After that, the total volume of the model and the residual volume of the model after cutting every time was calculated using BIM calculation function.Finally, under the application of least square fitting polynomial method, the oil consumption curve was obtained according to the data of cutting height percentage and volume percentage. Due to the better adaptability of BIM technology, the model of oil tank with any shape can be created and calculate its volume quickly. It is proved that the method with 96.39%accuracy is practicable by comparing the manual refueling volume with the system refueling volume within one month from four special-shaped oil tanks. Compared to other calculation techniques, this method is simple in operation, low cost and high accuracy, thus it has extremely wide application prospect in the field of oil volume monitoring on engineering machinery.
[1] |
李晓军, 田吟雪, 唐立, 等. 山岭隧道结构BIM多尺度建模与自适应拼接方法及工程应用[J]. 中国公路学报, 2019, 32(2): 126-134. |
[2] |
Xinruo Hua. Experimental Study on Low Temperature Impact Resistance of Building Metal Shielding Materials Based on BIM Technology[J]. Ekoloji, 2019, 28(108): 1535-1540. |
[3] |
Zhiliang Ma, Zhe Liu. BIM-based intelligent acquisition of construction information for cost estimation of building projects[J]. Procedia Engineering, 2014, 85: 358-367.doi: 10.1016/j.proeng.2014.10.561 |
[4] |
朱记伟, 蒋雅丽, 翟曌, 等. 基于知识图谱的国内外BIM领域研究对比[J]. 土木工程学报, 2018, 51(2): 113-120. |
[5] |
Fei Du. Research on the Whole Process Cost Management of University Capital Construction Based on BIM[J]. Advances in Engineering Research, 2016, 72: 511-515. |
[6] |
Jian Li, Lei Hou, Xiangyu Wang, et al. A Projectbased Quantification of BIM Benefits[J]. International Journal of Advanced Robotic Systems, 2014, 11(123): 1-13. |
[7] |
Keyur K Patel, Sunil M Patel, PG Scholar, et al. Internet of Things-IOT: Definition, Characteristics, Architecture, Enabling Technologies, Application &Future Challenges[J]. International of Journal of Engineering Science and Computing, 2016, 6(5): 6122-6131. |
[8] |
霍进, 谢光华, 韩菲, 等. 物联网技术在稠油处理站的应用[J]. 特种油气藏, 2015, 22(2): 147-150. |
[9] |
张亚平, 刘学锋. Sensor Web支持下的租赁车辆远程监控系统设计与实现[J]. 计算机控制与测量, 2019, 27(10): 109-119. |
[10] |
魏敬成, 陈秀生, 倪林, 等. 基于物联网技术的工程机械监控系统设计[J]. 中国工程机械学报, 2014, 12(4): 365-371. |
[11] |
方京城, 何崇中, 韩春立. 一种监控汽车油量的方法[P]. 中国专利: CN 201510854359, 2017-05-24. |
[12] |
刘纲, 郭莉, 杨剑, 等. 基于BIM的智能化算量——以输变电土建工程为例[J]. 土木工程与管理学报, 2019, 36(4): 140-184. |
[13] |
戴浩, 周健, 申懿, 等. 一种飞机燃油重量处理方法[P]. 中国专利: CN 105488272 A, 2016-04-13. |
[14] |
张建祥, 甘旭升, 周志靖, 等. 基于改进滑动窗多项式拟合法的航空器4D航迹预测[J]. 航空工程进展, 2019, 10(5): 601-608. |
[15] |
王嫱, 陈甲斌, 靳贝贝. 基于"不完全S形"模型的中国铅需求预测[J]. 中国矿业, 2019, 28(11): 27-34. |
[16] |
李刚, 何武全, 翟东汉, 等. 抛物线形复合渠道实用经济断面的计算方法[J]. 灌溉排水学报, 2018, 37(12): 100-106. |
[17] |
卢治功, 贺鹏, 职连杰, 等. 基于最小二乘法多项式拟合三角测量模型研究[J]. 应用光学, 2019, 40(5): 853-858. |
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