Multipurpose Detecting System for Automotive Switch Function Based on Virtual Instrument (LabVIEW) and Embedded Technology (ARM)

2012 ◽  
Vol 490-495 ◽  
pp. 937-941
Author(s):  
Hong He ◽  
Xing Su ◽  
Pei Pei Yang ◽  
Jian Wen Li ◽  
Shao Hua Shi
Keyword(s):  
Control System ◽  
Real Time ◽  
Virtual Instrument ◽  
High Performance ◽  
Detection System ◽  
Material Resources ◽  
Instrument Technology ◽  
Ethernet Controller ◽  
And Performance ◽  
And Control

Contrary to the problem that automobile switches have various kinds and large differences in the structure and performance so that traditional testing methods have been unable to meet the testing requirements of high performance switches, the paper designs a new detection system used to detect the functions of general auto switches which applies the developing environment LabVIEW based on virtual instrument technology and adopts the technology of embedded observe and control system. Using PC as the host computer, the system adopts the LabVIEW8.5 to compile a real-time monitoring system with good human-computer interface; S3C2440-ARM9 processor is used as the main controller of observe and control system in the inferior computer which collects output current signal when the circuit is conducted after switch is pressed. After the coding process of LwIP software protocol and the drive of Ethernet controller DM9000, the signal is transmitted to PC through Ethernet interface. Compared with conventional testing measures, this system greatly improves the real-time performance as well as working efficiency of detecting switch functions and reduces the corresponding human and material resources.

Design and Field Test of Virtual Instrument Based Monitor and Control System for Combine Harvester Automation

2011 ◽  
Vol 130-134 ◽  
pp. 2413-2416
Author(s):  
Du Chen ◽  
Shu Mao Wang ◽  
You Chun Ding ◽  
Feng Kang
Keyword(s):  
Control System ◽  
Real Time ◽  
Field Test ◽  
Virtual Instrument ◽  
Online Information ◽  
Operation Speed ◽  
Combine Harvester ◽  
Monitor And Control System ◽  
And Control ◽  
Monitor And Control

In this study an online monitor and control system was developed and tested based on virtual instrument environment for combine harvester automation. A data acquisition system and control elements were integrated into a self-propelled combine harvester. The following online information was recorded: performance parameters (threshing drum torque, engine speed, operation speed, etc), machine settings (reel speed, knife speed, drum speed, etc) and guidance information. The collected data were integrated into windows-based software for real-time processing. Image sensing information was used for swath detection and obtained results could be transmitted to the actuator for auto steering. The guidance error could be controlled in the range of 0.15 m during road surface test with centerline. The ground speed was adjusted by using the threshing power consumption data to improve work performance during field test. Experiments results indicated that it was possible to use virtual instrument environment based system to monitor operation data and conduct other real-time applications for field operation.

scholarly journals A Real-Time, Automatic, and Dynamic Scheduling and Control System for PET Patients Based on Wearable Sensors

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1104
Author(s):  
Shin-Yan Chiou ◽  
Kun-Ju Lin ◽  
Ya-Xin Dong
Keyword(s):  
Control System ◽  
Real Time ◽  
Human Error ◽  
Dynamic Scheduling ◽  
Wearable Sensors ◽  
Time Data ◽  
Scan Time ◽  
Number Of Patients ◽  
And Control ◽  
Automatic Scheduling

Positron emission tomography (PET) is one of the commonly used scanning techniques. Medical staff manually calculate the estimated scan time for each PET device. However, the number of PET scanning devices is small, the number of patients is large, and there are many changes including rescanning requirements, which makes it very error-prone, puts pressure on staff, and causes trouble for patients and their families. Although previous studies proposed algorithms for specific inspections, there is currently no research on improving the PET process. This paper proposes a real-time automatic scheduling and control system for PET patients with wearable sensors. The system can automatically schedule, estimate and instantly update the time of various tasks, and automatically allocate beds and announce schedule information in real time. We implemented this system, collected time data of 200 actual patients, and put these data into the implementation program for simulation and comparison. The average time difference between manual and automatic scheduling was 7.32 min, and it could reduce the average examination time of 82% of patients by 6.14 ± 4.61 min. This convinces us the system is correct and can improve time efficiency, while avoiding human error and staff pressure, and avoiding trouble for patients and their families.

scholarly journals Artificial Intelligence-Assisted Colonoscopy for Detection of Colon Polyps: a Prospective, Randomized Cohort Study

2020 ◽  
Author(s):  
Yuchen Luo ◽  
Yi Zhang ◽  
Ming Liu ◽  
Yihong Lai ◽  
Panpan Liu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Real Time ◽  
High Performance ◽  
Detection System ◽  
Random Order ◽  
Colon Polyps ◽  
Clinical Environment ◽  
Polyp Detection ◽  
Link Type ◽  
Polyp Detection Rate

Abstract Background and aims Improving the rate of polyp detection is an important measure to prevent colorectal cancer (CRC). Real-time automatic polyp detection systems, through deep learning methods, can learn and perform specific endoscopic tasks previously performed by endoscopists. The purpose of this study was to explore whether a high-performance, real-time automatic polyp detection system could improve the polyp detection rate (PDR) in the actual clinical environment. Methods The selected patients underwent same-day, back-to-back colonoscopies in a random order, with either traditional colonoscopy or artificial intelligence (AI)-assisted colonoscopy performed first by different experienced endoscopists (> 3000 colonoscopies). The primary outcome was the PDR. It was registered with clinicaltrials.gov. (NCT047126265). Results In this study, we randomized 150 patients. The AI system significantly increased the PDR (34.0% vs 38.7%, p < 0.001). In addition, AI-assisted colonoscopy increased the detection of polyps smaller than 6 mm (69 vs 91, p < 0.001), but no difference was found with regard to larger lesions. Conclusions A real-time automatic polyp detection system can increase the PDR, primarily for diminutive polyps. However, a larger sample size is still needed in the follow-up study to further verify this conclusion. Trial Registration clinicaltrials.gov Identifier: NCT047126265

scholarly journals A High-Performance Imaging and Control System for a Micromirror-Based Laser-Scanning Endoscope Device

2006 ◽  
Vol 55 (5) ◽  
pp. 1725-1733 ◽  
Author(s):  
P.G. Papageorgas ◽  
D. Maroulis ◽  
G. Anagnostopoulos ◽  
H. Albrecht ◽  
B. Wagner ◽  
...  
Keyword(s):  
Control System ◽  
High Performance ◽  
Laser Scanning ◽  
And Control

Research on MES Domain Analysis Driven by Ontology

2010 ◽  
Vol 20-23 ◽  
pp. 1084-1090 ◽  
Author(s):  
Wen Long
Keyword(s):  
Control System ◽  
Software Development ◽  
Method Development ◽  
Domain Analysis ◽  
Manufacturing Execution System ◽  
Development Method ◽  
And Performance ◽  
And Control ◽  
Plan Management ◽  
Manufacturing Execution

Manufacturing Execution System (MES) links plan management and workshop control in an enterprise, which is an integrative management and control system of workshop production oriented to manufacturing process. To overcome the difficulties of traditional software development method, development of MES based on component is adopted to prompt development efficiency and performance of MES, which can be more reconstructing, reuse, expansion and integration, and MES domain analysis driven by ontology is investigated in detail. MES domain analysis driven by ontology is feasible and efficient through developing a pharmaceutics MES which applied in a pharmaceutics manufacturing factory.

Sign in / Sign up

Export Citation Format

Share Document