发表论文

智能传感器及检测:

[1] DenglongMa,Jianmin Gao, Zaoxiao Zhang, HongZhao, Gas recognition method based on the deep learning model of sensor array response map, Sensors and Actuators B: Chemical,Available online 23 December 2020, 2021,330:129349, https://doi.org/10.1016/j.snb.2020.129349

[2] Wang, J. , Xie, Y. , Zhang, Y. , Peng, B. , Li, Q. , Ma, D. , Z ZhangX Huang. (2021). The ultrahigh discharge efficiency and energy density of p(vdf-hfp) via electrospinning-hot press with st-mma copolymer. Materials Chemistry Frontiers.

[3] Zhang, L. , Wei, Z. , Liu, P. , Wei, H. , Ma, D.  (2021). Performance comparison of solid lead ion electrodes with different carbon-based nanomaterials as electron-ion exchangers. Sensors, 21(5).

[4] 夏锋社, 马登龙*(通讯作者),谭帏,王晓桥,基于传感器阵列动态响应可视化图谱的气体识别方法,化工自动化及仪表,46800-804. 2019

[5] D Ma, X Wu, J Gao, Z Zhang, X Zuo,CO2 Leakage Identification Method Based on Complex Time–Frequency Spectrum of Atmospheric CO2 VariationACS Chemical Health & Safety 2021, 28 (5), 376-386

[6] Denglong Ma, Jianmin Gao,Zhiyong Gao, Hongquan Jiang,Zaoxiaozhang,Juntai Xie. Gas leakage recognition for CO2 geological sequestration based on the time series neural network,Chinese Journal of Chemical Engineering, June 2020, DOI: 10.1016/j.cjche.2020.06.014.

[7] D.Ma, Y Liu, L Zheng, J Gao, Z Gao, Z Zhang, Prediction of thermal-induced failure for electronic equipment based on artificial olfactory system, Measurement Science and Technology, Nov. 20,2020, Accepted. 2021 Meas. Sci. Technol. 32 035103

[8] 夏锋社, 马登龙*(通讯作者),张晓明,王瑜, 毛维高,封储二氧化碳泄漏检测监测技术进展研究,安全与环境工程,20198月录用,2020,272),23-33.

[9] Denglong MA, Jianqiang Deng, Zaoxiao Zhang. CO2 leakage identification in geosequestration based on real time correlation analysis between atmospheric O2 and CO2. Chinese Journal of Chemical Engineering, 2014,22(6):634-642.

[10] Denglong Ma, Jianqiang Deng, Zaoxiao Zhang. Correlation analysis for online CO2 leakage monitoring in geological sequestration. Energy Procedia, 37 (2013), 4374 – 4382.

[11]马登龙, 贾剑平, 黄德承.工业浮游物含量在线测控系统的设计与实现,化工自动化及仪表, 2009,1.[

[12]马登龙,贾剑平. 工业浆液悬浮物含量在线监控软件设计与实现,计算机与应用化学,2010,4. 

[13]Denglong Ma*, Ao Liu, Zhitao Fan, Ruitao Wu, Jianmin Gao, Hong Zhao, Zaoxiao Zhang,Xin Zuo,Recognition Based on Wide-band Infrared Imaging with Auxiliary Excitation Method and Machine Learning Model,Publication Date:September 5, 2022,https://doi.org/10.1021/acs.chas.2c00045

[14]Denglong Ma, Chang Liu, Fangjun Wu, Zekang Li.The quality detection and recognition for food seasoning based on artificial olfactory system,IEEE Instrumentation & Measurement Magazine,accepted,2022

[15]何佳霖,马登龙,覃荣卓,张广森,解云川,高建民,张早校,新型柔性压电薄膜在管道泄漏检测中的应用, 西安交通大学学报,2023,57(2):8;

[16][1]李欢, 刘元, 刘相蕊, 马峰, 马登龙,  谢军太. (2022). 基于超声导波的管道缺陷检测及数值模拟研究. 石油仪器(008-004).

 

嗅觉导航机器人:

[1] Denglong Ma , Guofang Xie, Weigao Mao, Jianmin Gao, Hang Yi , and Dangchao Li, Comparison and Improvement of Bioinspired Mobile Algorithms to Trace the Emission Source Based on the Simulation Scenarios, Atmosphere 2022, 13, 661. https://doi.org/10.3390/atmos13050661

[2] D Ma, W Mao, W Tan, J Gao, Z Zhang, Y Xie ,Emission source tracing based on bionic algorithm mobile sensors with artificial olfactory system,Robotica,2021, 1-21;

[3]马登龙, 谭帏, 曾群峰,. 基于仿生搜索的气体泄漏自动溯源方法研究[C]// 第六届CCPS中国过程安全会议. 2018

[4]马登龙,谭帏,王晓桥,夏锋社, 基于仿生搜索的气体泄漏自动溯源方法研究,2018公共安全科学技术年会,佛山,2018.11.14-16.

 

智能气体泄漏释放溯源:

[1] Y Zhao, Chen, B. , Zhu, Z. , Chen, F. , Ma, D. (2020). Entrotaxis-jump as a hybrid search algorithm for seeking an unknown emission source in a large-scale area with road network constraint. Expert Systems with Applications, 157, 113484.

 [2]Ma D, Gao J, Zhang Z, et al. Identifying atmospheric pollutant sources using a machine learning dispersion model and Markov chain Monte Carlo methods[J]. Stochastic Environmental Research and Risk Assessment, 2021: 1-16

[3]Ma D, Gao J, Zhang Z, et al. Locating the gas leakage source in the atmosphere using the dispersion wave method[J]. Journal of Loss Prevention in the Process Industries, 2019: 104031.

 [4] ​​​​​Denglong Ma, Jianmin Gao, Zaoxiao Zhang and Qingsheng. Wang, "An Improved Firefly Algorithm for Gas Emission Source Parameter Estimation in Atmosphere," in IEEE Access, vol. 7, pp. 111923-111930, 2019.doi: 10.1109/ACCESS.2019.2935308

 [5] Denglong Ma, Wei Tan, Qingsheng Wang, Zaoxiao Zhang, Jianmin Gao, Qunfeng Zeng, Xiaoqiao Wang, Fengshe Xia, Xingmin ShiApplication and improvement of swarm intelligence optimization algorithm in gas emission source identification in atmosphereJournal of Loss Prevention in the Process IndustriesDOI: 10.1016/j.jlp.2018.09.008Accepted Date: 15 September 2018, 56 (2018) 262–271.

[6] Denglong Ma,  Wei Tan, Qingsheng  Wang, Zaoxiao Zhang, Jianmin Gao, Xiaoqiao  Wang, Fengshe Xia. Location of contaminant emission source in atmosphere based on optimal correlated matching of concentration distribution, Process Safety and Environmental Protection,accepted May 25,2018. Volume 117, July 2018,  498-510.

[7] Denglong Ma, Wei Tan Qingsheng Wang, Zaoxiao Zhang,Application of Group Intelligent Optimization Algorithm in Gas Emission Source Identification, 2018 Spring Meeting and 14th Global Congress on Process Safety,Orlando, Florida ,April 22 – 25, 2018

[8]Ma D.L., Tan W., Zhang Z.X.Hu Jun., Parameter identification for continuous point emission source based on Tikhonov regularization method coupled with particle swarm optimization algorithm[J], Journal of Hazardous Materials, 2017,325:239-250.

[9] Denglong Ma , Zaoxiao Zhang , Contaminant dispersion prediction and source estimation with integrated Gaussian-Machine learning network model for point source emission in atmosphere, Journal of Hazardous Materials, 2016,311:237-245.

[10] Ma D.L., Tan W., Zhang Z.X.Hu Jun, Gas emission source term estimation with 1-step nonlinear partial swarm optimization-Tikhonov regularization hybrid method, Chinese Journal of Chemical Engineering 2018, 262): 356-363,

[11] Denglong Ma, Wei Tan , Zaoxiao Zhang,Xiaoqiao Wang, Jun Hu,Recognition of leak CO2 with wavelet analysis based on correlation monitoring between CO2 and O2 in atmosphere, Process Safety and Environmental Protection,( Available online 18 December 2017)2017DOI 10.1016/j.psep.2017.12.009Volume 114, February 2018, Pages 64–78.

[12] Denglong MA, Jianqiang Deng, Zaoxiao Zhang. Comparison and improvements of optimization methods for gas emission source identification, Atmospheric Environment2013,81188-198.

[13] Denglong Ma, Simin Wang, Zaoxiao Zhang. ,Hybrid algorithm of minimum relative entropy-particle swarm optimization with regularization parameters for gas source term identification, Atmospheric Environment, 2014.94:637-640.

[14] 马登龙,谭帏,王晓桥,夏锋社, 群智能优化算法在气体泄漏源辨识中的应用,2017公共安全科学技术年会,北京,2017.11.10-12.

[15] Denglong Ma, Zaoxiao Zhang. Leakage source parameters identification for CO2 sequestration based on Occam method, Energy Procedia, 63 (2014),  3815–3820.

 

►装备及材料安全失效机理和防护:

[1]]Ma D.L., Tan W., Zhang Z.X, Numeric Study on Propellant Leakage in Atmospheric Environment,  ASME 2017 Pressure Vessels and Piping Conference, Volume 1B: Codes and Standards,Waikoloa, Hawaii, USA, July 16–20, 2017

[2] 登龙,邓建强,张早校. 地质封存中CO2 泄漏的非稳态扩散数值模拟研究.西安交通大学学报,2012,46(9).

[3]Denglong Ma, Xinxin Cao, Zaoxiao Zhang, Numerical study on gas purging process in pipeline, 13th International Conference on Pressure Vessel Technology (ICPVT-13), 20 May-23 May 2012, London.

[4]马登龙,邓建强,张早校. 数值模拟研究大气环境下推进剂泄漏安全, 中国化学会第六届全国化学推进剂学术会议,酒泉,20139.

[5] 军,马登龙,张早校, 镍基合金腐蚀极化曲线的量子力学解释, 稀有金属材料与工程, 2014.435),1173-1176

[6]马登龙, 梁燕萍. 铝合金表面无铬导电转化膜工艺改进研究, 表面技术, 2008, 5.

[7]第五方, 马登龙.铝合金表面无铬导电转化膜的制备工艺.材料保护, 2009,1.

[8]吴瑞涛,马登龙,马峰等. 液压机构阶梯型同轴密封件(斯特圈)仿真分析[C]//中国仿真学会.第三十三届中国仿真大会论文集.,2021:10.DOI:10.26914/c.cnkihy.2021.025008.

 

►能源系统负荷预测:

[1]Denglong Ma,Ruitao Wu,Zekang Li,Kang Cen,Jianmin Gao,Zaoxiao Zhang,A new method to forecast multi-time scale load of natural gas based on augmentation data-machine learning modelChinese Journal of Chemical Engineering Available online 3 January. https://doi.org/10.1016/j.cjche.2021.11.023

 

部分成果

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研发的部分装置和系统:

发明专利

发明专利

[1] 张早校,马登龙,邓建强. 一种监测地质封存二氧化碳泄漏的方法及装置(CN201110358126.2,已授权)
[2] 张早校,余云松,李云,董锐锋,马登龙,卢红芳. 一种二氧化碳两步再生的烟道气脱碳系统及其方法 (申请号201210015972.9,2018.01.29授权)
[3] 马登龙;张早校;高建民,一种空中飞行人工嗅觉气体早期泄漏监测定位系统及方法,2016.06.27申请(申 请 号:201610479042.7,已授权)2018.4.17
[4] 马登龙;谭帏;张早校;高建民,一种基于扩散波的近地表气体泄漏快速定位方法20160914(申 请 号:2016108252635), 2018.12.07 授权
[5] 马登龙, 谭帏, 张早校, 高建民,一种基于被动红外成像的汽车尾气可视化实时监测装置(CN 106525726 ), 实审中
[6] 范亮亮, 马登龙, 赵宏, 赵毅鑫, 韩靖雯, 李金勃, 杨浩, 刘振宇, 彭达琛,一种智能一体化食品售卖终端机 , 20160926 (ZL201610850368.6 ), 已授权,2018,12 18 
[7] 马登龙;谭帏;张早校;高建民,一种基于智能嗅觉视觉的气体泄漏自主定位装置及方法,申 请 号:2017106203785(已受理)
[8]马登龙,李昊城,高建民,张早校,谭帏,一种仿雌蚊的移动传感器泄漏气体自动追踪方法, ZOL 201910005134.5(2020.6.19授权)
[9]马登龙;吴芳军;高建民;张早校;谭帏,  一种人工智能嗅觉动态响应图谱气体检测识别方法 - 201910005147.2,2020.6.30授权.
[10]马登龙,刘元,祁文闯,曾群峰,高建民 , 一种便携导波式弯管腐蚀状态监测装置,201921853721.1, 2020.08.11授权
 [11]马登龙,吴瑞涛,高建民,高智勇,张早校,201911360561,一种基于人工智能感官的装备气体泄漏监测系统及方法,实审中
[12] 马登龙,吴瑞涛,王晓桥,高建民,夏锋社,王泉生,张晓明,王瑜,一种具有无线充电功能的装备气体泄漏识别监测装置, 2020213412706,授权

[13]马登龙,吴瑞涛,高建民,张早校,基于光热激励的宽波长红外成像气体泄漏检测系统及方法,申 请 号:2021104848471申 请 日:2021-04-30,2022.11.1授权

[14]马登龙,何佳霖,解云川,高建民,姜洪权,一种无线无源损伤泄漏监测系统及其控制方法,申请号:202110293500.9,2023.7. 授权

[15]马登龙,毛维高,吴瑞涛,刘元,高建民,多信息融合特殊作业现场动态隐患识别和风险评估系统和方法,申请号:202110482882X,2023.8.授权

软件著作权
[1] 马登龙,毛维高,西安交通大学人工嗅觉泄漏监测定位系统V2.0,西安交通大学,登记号:2020SR1260405 
[2]马登龙,吴瑞涛,刘元,毛维高,高建民,姜洪权,高智勇,红外成像气体泄漏监测识别系统, 登记号:2020SR1673364

 [3]马登龙,刘元,吴瑞涛,毛维高,高建民,姜洪权,高智勇, 超声导波管道缺陷检测系统, 登记号:2020SR1673331