A large number of hydraulic concrete structures have hidden defects such as cracks, erosion, freeze and thaw, thermal fatigue, carbonization. These hidden defects seriously affect the strength, stability and durabilit...A large number of hydraulic concrete structures have hidden defects such as cracks, erosion, freeze and thaw, thermal fatigue, carbonization. These hidden defects seriously affect the strength, stability and durability of structures. These problems are studied mainly by single monitoring or diagnosis methods at present. The integration of multiple monitoring and diagnosis methods is not applied widely. Besides, the analysis theory on these problems is not developed very well. The systemic study on the aging mechanism of hydraulic concrete structures, time- variation model and health diagnosis is still not enough. The support for engineering practice is limited. Aimed at these major scientific and technological problems and combined with specific projects, study on detection of hidden defects and health diagnosis of hydraulic concrete structure has been carried out. This study includes the following content: field non-destructive examination of hidden defects of hydraulic concrete structures, seepage detection, the construction of in-situ sensing system, the combination of field detection and in-situ monitoring, the mechanism of crack, freeze and thaw, erosion and carbonization of hydraulic concrete structure, mechanism of combination aging; time-variation model of hydraulic concrete structure, theories and methods for health diagnosis of hydraulic concrete structures.展开更多
<strong>Objective:</strong> To evaluate the clinical diagnostic value of C-reactive protein/albumin ratio (CAR), neutrophil/lymphocyte ratio (NLR) and D-dimer (D-D) in patients with pulmonary thromboemboli...<strong>Objective:</strong> To evaluate the clinical diagnostic value of C-reactive protein/albumin ratio (CAR), neutrophil/lymphocyte ratio (NLR) and D-dimer (D-D) in patients with pulmonary thromboembolism (PTE). <strong>Methods:</strong> We conducted a retrospective analysis comparing hematology and coagulation in 362 PTCA-confirmed PTE patients with the control group and analyzing their relationships with CAR, NLR, and D-D. Receiver operating characteristic curve (ROC) was used to analyze the diagnostic threshold, area under the curve (AUC), diagnostic sensitivity and specificity of CAR, NLR and D-D for PTE. <strong>Results:</strong> 1) CAR, NLR and D-D levels in PTE patients were 2.13 ± 2.08, 8.96 ± 1.94 and 9.69 ± 8.61 respectively, significantly higher than those in control group (CAR = 0.03 ± 0.01, t = 20.7736, P < 0.01;NLR = 1.76 ± 0.53, t = 2.4281, P < 0.05 and PTE = 0.20 ± 0.11, t = 3.0066, P < 0.01 respectively). 2) NLR was positively correlated with CAR (r = 0.2111, t = 4.0971, P < 0.01) and D-D (r = 0.1065, t = 2.0481, P < 0.05), but CAR was not correlated with D-D (r = 0.0975, P > 0.05). 3) The levels of HB, LY, PLT and AT in PTE patients were significantly lower than those in control group, while WBC, NE and FB were significantly higher than those in control group. 4) CAR was negatively correlated with Hb and AT (P all < 0.01), but positively correlated with WBC, NE, MO and FB (P all < 0.01). NLR was negatively correlated with LY and AT (P all < 0.01), but positively correlated with WBC, NE and FB (P all < 0.01). DD was negatively correlated with Hb and PLT (P all < 0.05), but positively correlated with WBC, NE and MO (P all < 0.01). <strong>Conclusion:</strong> The levels of Hb, LY, PLT and AT were significantly decreased in PTE patients, while WBC, NE and FB were significantly increased. CAR, NLR and D-D were highly expressed in PTE patients, and were closely correlated with Hb, AT and FB. Combined detection of CAR, NLR and D-D can improve the diagnostic value of PTE.展开更多
A kind of management system for electric vehicle (EV) battery series was developed. The system can predict residual capacity for EV battery series and mileages. The system can determine if it is necessary for the batt...A kind of management system for electric vehicle (EV) battery series was developed. The system can predict residual capacity for EV battery series and mileages. The system can determine if it is necessary for the battery series to be charged. The system can determine which battery is necessary to be updated for the reason of damage or aging. The system can display the total voltage of battery series, extreme voltage and temperature of every battery in the series. The system can display the accumulative discharge for every battery in the series. The system can alarm when both total or extreme voltage is at low level, or temperature of a battery in the series is at high level. The system provided with a microprocessor as key part can collect and record signal of charging and discharging current, total voltage, extreme voltage and temperature for every battery. The mathematical model of residual capacity for EV lead acid batteries was discussed in details. The system operates well in the laboratory and meets the requirement.展开更多
货车故障轨旁图像检测系统(TFDS,Trouble of moving Freight car Detection System)是保障铁路货车运行安全的重要技术装备。为适应TFDS检车作业场所集中化的管理变革,建设了TFDS集中检车系统(简称:TFDS检车平台),通过汇集多个轨旁TFDS...货车故障轨旁图像检测系统(TFDS,Trouble of moving Freight car Detection System)是保障铁路货车运行安全的重要技术装备。为适应TFDS检车作业场所集中化的管理变革,建设了TFDS集中检车系统(简称:TFDS检车平台),通过汇集多个轨旁TFDS探测站的检测数据,实现TFDS动态检车任务的统一分配和作业过程的闭环管理。随着TFDS动态检车任务量不断加重,亟需强化动态检车作业质量考核,提高检车员辨识车辆故障的能力,以确保运用货车安全运行、满足货运装车需要。本文针对TFDS检车平台在应用中存在的不足,充分利用该平台的TFDS货车图像数据,研究开发TFDS货车图像数据应用系统,满足动态检车作业质量评价、检车员培训等实际需求,有助于提升TFDS集中检车作业的质量和效率。展开更多
基金Supported by the Key Project of Chinese National Programs for Fundamental Research and Development (Grant No. 2002CB412707) Key Project of NNSF and Yalongjiang Hydroelectric Development Joint Research Fund (50539110, 50539030)+2 种基金 Science and Technology Support Plan (20006BAC14B03) National Natural Science Foundation Major Project (50539010)National Natural Science Foundation of China (Grant No. 50579010)
文摘A large number of hydraulic concrete structures have hidden defects such as cracks, erosion, freeze and thaw, thermal fatigue, carbonization. These hidden defects seriously affect the strength, stability and durability of structures. These problems are studied mainly by single monitoring or diagnosis methods at present. The integration of multiple monitoring and diagnosis methods is not applied widely. Besides, the analysis theory on these problems is not developed very well. The systemic study on the aging mechanism of hydraulic concrete structures, time- variation model and health diagnosis is still not enough. The support for engineering practice is limited. Aimed at these major scientific and technological problems and combined with specific projects, study on detection of hidden defects and health diagnosis of hydraulic concrete structure has been carried out. This study includes the following content: field non-destructive examination of hidden defects of hydraulic concrete structures, seepage detection, the construction of in-situ sensing system, the combination of field detection and in-situ monitoring, the mechanism of crack, freeze and thaw, erosion and carbonization of hydraulic concrete structure, mechanism of combination aging; time-variation model of hydraulic concrete structure, theories and methods for health diagnosis of hydraulic concrete structures.
文摘<strong>Objective:</strong> To evaluate the clinical diagnostic value of C-reactive protein/albumin ratio (CAR), neutrophil/lymphocyte ratio (NLR) and D-dimer (D-D) in patients with pulmonary thromboembolism (PTE). <strong>Methods:</strong> We conducted a retrospective analysis comparing hematology and coagulation in 362 PTCA-confirmed PTE patients with the control group and analyzing their relationships with CAR, NLR, and D-D. Receiver operating characteristic curve (ROC) was used to analyze the diagnostic threshold, area under the curve (AUC), diagnostic sensitivity and specificity of CAR, NLR and D-D for PTE. <strong>Results:</strong> 1) CAR, NLR and D-D levels in PTE patients were 2.13 ± 2.08, 8.96 ± 1.94 and 9.69 ± 8.61 respectively, significantly higher than those in control group (CAR = 0.03 ± 0.01, t = 20.7736, P < 0.01;NLR = 1.76 ± 0.53, t = 2.4281, P < 0.05 and PTE = 0.20 ± 0.11, t = 3.0066, P < 0.01 respectively). 2) NLR was positively correlated with CAR (r = 0.2111, t = 4.0971, P < 0.01) and D-D (r = 0.1065, t = 2.0481, P < 0.05), but CAR was not correlated with D-D (r = 0.0975, P > 0.05). 3) The levels of HB, LY, PLT and AT in PTE patients were significantly lower than those in control group, while WBC, NE and FB were significantly higher than those in control group. 4) CAR was negatively correlated with Hb and AT (P all < 0.01), but positively correlated with WBC, NE, MO and FB (P all < 0.01). NLR was negatively correlated with LY and AT (P all < 0.01), but positively correlated with WBC, NE and FB (P all < 0.01). DD was negatively correlated with Hb and PLT (P all < 0.05), but positively correlated with WBC, NE and MO (P all < 0.01). <strong>Conclusion:</strong> The levels of Hb, LY, PLT and AT were significantly decreased in PTE patients, while WBC, NE and FB were significantly increased. CAR, NLR and D-D were highly expressed in PTE patients, and were closely correlated with Hb, AT and FB. Combined detection of CAR, NLR and D-D can improve the diagnostic value of PTE.
文摘A kind of management system for electric vehicle (EV) battery series was developed. The system can predict residual capacity for EV battery series and mileages. The system can determine if it is necessary for the battery series to be charged. The system can determine which battery is necessary to be updated for the reason of damage or aging. The system can display the total voltage of battery series, extreme voltage and temperature of every battery in the series. The system can display the accumulative discharge for every battery in the series. The system can alarm when both total or extreme voltage is at low level, or temperature of a battery in the series is at high level. The system provided with a microprocessor as key part can collect and record signal of charging and discharging current, total voltage, extreme voltage and temperature for every battery. The mathematical model of residual capacity for EV lead acid batteries was discussed in details. The system operates well in the laboratory and meets the requirement.
文摘货车故障轨旁图像检测系统(TFDS,Trouble of moving Freight car Detection System)是保障铁路货车运行安全的重要技术装备。为适应TFDS检车作业场所集中化的管理变革,建设了TFDS集中检车系统(简称:TFDS检车平台),通过汇集多个轨旁TFDS探测站的检测数据,实现TFDS动态检车任务的统一分配和作业过程的闭环管理。随着TFDS动态检车任务量不断加重,亟需强化动态检车作业质量考核,提高检车员辨识车辆故障的能力,以确保运用货车安全运行、满足货运装车需要。本文针对TFDS检车平台在应用中存在的不足,充分利用该平台的TFDS货车图像数据,研究开发TFDS货车图像数据应用系统,满足动态检车作业质量评价、检车员培训等实际需求,有助于提升TFDS集中检车作业的质量和效率。
