The Intelligent Traffic Monitoring System Based on Beidou Research and Design

2014 ◽  
Vol 599-601 ◽  
pp. 710-713
Author(s):  
Hong Hua Wang

Most transportation monitoring systems are based on the U.S. GPS + GSM / GPRS / CDMA or shortwave radio communication network to achieve positioning and monitoring. This type of system positioning part, because the United States belong GPS applications in key areas may be controlled by others; monitoring transport vehicles through the mobile communication network, increasing the cost of the system, and does not have the characteristics of real-time monitoring. In this paper, the characteristics of the above proposed transport vehicle monitoring and dispatching system for China's own Beidou navigation system developed is based. The system uses positioning and communication system Beidou satellite communications, real-time monitoring of transport vehicles and scheduling, to ensure normal transport.

2012 ◽  
Vol 166-169 ◽  
pp. 2787-2793
Author(s):  
Hong De Wang ◽  
Qi Lang Le ◽  
Xiu Yuan Yang ◽  
You Long Gao

Acquiring instant information and sharing massive data are indispensable elements in social informatization. Real-time monitoring is realized with the support of computer and communication technologies. The monitoring facilities which are controlled by communication network terminal computers would collect and transfer data according to established procedures or real-time instructions. That is, data could be acquired under all weather and no duty conditions. Then the acquired massive data could be widely shared by issuing on Internet Web. This whole procedure is called real-time monitoring. Demonstration station for real-time monitoring and prewarning is just used to issue monitoring instructions, collect and transfer real-time data through GPRS wireless network between local monitoring stations and central station on the basis of computer and modern communication technologies. So the monitoring data elements could be gathered on central station server computer through communication network, and then be Web published and shared through the connection of central station sever computer and the Internet. Thus, informatization for landslides monitoring could be realized, and information could be optimally utilized. The geologic hazard monitoring and prewarning demonstration station in Wushan County was a good example of real-time monitoring and data Web sharing for landslides, which has greatly improved the level of geologic hazard monitoring and prewarning in China.


2018 ◽  
Vol 10 (10) ◽  
pp. 1540 ◽  
Author(s):  
Lingling Liu ◽  
Xiaoyang Zhang ◽  
Yunyue Yu ◽  
Feng Gao ◽  
Zhengwei Yang

Real-time monitoring of crop phenology is critical for assisting farmers managing crop growth and yield estimation. In this study, we presented an approach to monitor in real time crop phenology using timely available daily Visible Infrared Imaging Radiometer Suite (VIIRS) observations and historical Moderate Resolution Imaging Spectroradiometer (MODIS) datasets in the Midwestern United States. MODIS data at a spatial resolution of 500 m from 2003 to 2012 were used to generate the climatology of vegetation phenology. By integrating climatological phenology and timely available VIIRS observations in 2014 and 2015, a set of temporal trajectories of crop growth development at a given time for each pixel were then simulated using a logistic model. The simulated temporal trajectories were used to identify spring green leaf development and predict the occurrences of greenup onset, mid-greenup phase, and maximum greenness onset using curvature change rate. Finally, the accuracy of real-time monitoring from VIIRS observations was evaluated by comparing with summary crop progress (CP) reports of ground observations from the National Agricultural Statistics Service (NASS) of the United States Department of Agriculture (USDA). The results suggest that real-time monitoring of crop phenology from VIIRS observations is a robust tool in tracing the crop progress across regional areas. In particular, the date of mid-greenup phase from VIIRS was significantly correlated to the planting dates reported in NASS CP for both corn and soybean with a consistent lag of 37 days and 27 days on average (p < 0.01), as well as the emergence dates in CP with a lag of 24 days and 16 days on average (p < 0.01), respectively. The real-time monitoring of maximum greenness onset from VIIRS was able to predict the corn silking dates with an advance of 9 days (p < 0.01) and the soybean blooming dates with a lag of 7 days on average (p < 0.01). These findings demonstrate the capability of VIIRS observations to effectively monitor temporal dynamics of crop progress in real time at a regional scale.


2012 ◽  
Vol 433-440 ◽  
pp. 890-893
Author(s):  
Rui Xue Cui ◽  
Ya Jun Bi

This paper introduces the design of telemedicine ECG monitoring system based on GPRS.This system combined holter monitoring technology and advanced wireless public communication network, which realizes user outside the hospital can be achieved by heart disease remote real-time monitoring function.This paper firstly introduced the structure design of this system, and then the electrocardio monitoring terminal, the communication circuit as well as the software and hardware of monitoring centers respectively. Clinical experiments showed that this system can realize remote real-time monitoring, and has important clinical significance.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Yoshihiko Suzawa

Abstract This study aims to demonstrate the effect of the cost of telematics and loss ratio improvement on the coverage demand for health promotion medical insurance. Real-time monitoring via telematics is expected to alleviate moral hazard of insured persons through the “analogical experience rating system,” resulting in a decreased claim cost and an improved loss ratio. In reality, however, the real-time monitoring on a continuous basis imposes a cost burden on insurers and thus, certain expense loadings apply to insurance premiums. The analysis based on the modified separating market equilibrium model reveals that people tend to opt for partial insurance coverage, and high-risk individuals even stay uninsured unless the expense loadings are not excessive. This result implies that the demand for health promotion medical insurance can decrease, and may conduce a market shrinkage, unless the improvement of loss ratio sufficiently surpasses the cost of telematics utilization.


Author(s):  
Osama Mahfooz

A PLC is a digital computer used to automate electromechanical processes. This research is based on automation and real time monitoring of concrete plant by using Siemens PLC. Automatic plants can work continuously and can decrease the gap between demand and supply. For such plants there is no need of labor so there is no human error. Without human error the quality of product is better and the cost of production would definitely decrease. The main motivation factor of this research is cost effective automation and real time monitoring of plant.


2020 ◽  
Vol 8 (6) ◽  
pp. 4736-4738

In today’s era, there is a huge advancement in the field of sensors and computing systems which make real- time monitoring of Bridges much easier and cheaper. There is a need for real-time bridge strength monitoring to avoid crisis scenarios. Currently available systems use a much more complicated wired network, sensors, and controller, this results in a high cost of installation resulting in an increase in the cost of a bridge. The wired network increases complexity which makes it complicated to install. This paper proposes the use of Raspberry pi which has a longer lifespan which reduces complications innetwork and uses advanced sensors


Author(s):  
Yuxin Zhai ◽  
Haiyan Wang ◽  
Fu Zhao ◽  
John W. Sutherland

The scheduling of manufacturing equipment is critical in production facilities. Research on production scheduling has traditionally focused on component throughput and cycle time. However, the increase of electricity price in the United States following the market deregulation in 1990s has led to efforts to reduce energy cost via manufacturing scheduling. This paper explores the possibility of reducing electricity cost of a manufacturing facility subject to real time electricity pricing by dynamically changing operation schedules, while maintaining a pre-determined production throughput. A time series model is developed to forecast the hourly electricity price and time-indexed integer programming is used to determine the manufacturing schedule. The electricity price forecast is updated every hour based on the price history, and manufacturing schedule is updated according to the updated price forecast. A hypothetical flow line with 3 processes operating 16 hours per day is used as a case study. The line has a limited public buffer between processes and all machines in the shop have three operational states. With a throughput of 60 parts per day, the results suggest that it is possible to reduce the cost by 3.6% using an hourly forecast compared with a schedule based on a day-ahead price forecast.


2006 ◽  
Vol 175 (4S) ◽  
pp. 521-521
Author(s):  
Motoaki Saito ◽  
Tomoharu Kono ◽  
Yukako Kinoshita ◽  
Itaru Satoh ◽  
Keisuke Satoh

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