scholarly journals Autonomous Detection for Traffic Flow Parameters of a Vehicle-Mounted Sensing Device Based on Symmetrical Difference

Symmetry ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 72 ◽  
Author(s):  
Jihai Huang ◽  
Jiansen Ye
Keyword(s):  
Data Acquisition ◽  
Traffic Flow ◽  
Moving Objects ◽  
Detection Method ◽  
Transmission Protocol ◽  
Flow Parameters ◽  
Upper Computer ◽  
And Control ◽  
Symmetrical Difference ◽  
Detection Effect

Based on the research and analysis of traffic detectors, it is found that the existing vehicle detection equipment is generally vulnerable to environmental interference and the detection effect cannot meet the current traffic demand. Therefore, an automatic detection method of traffic flow parameters based on symmetrical difference was put forward. This method collects the traffic flow parameters through wireless sensor nodes. Since the safety transmission protocol of VANET (Vehicular Ad Hoc Networks) can maximize the safety channel capacity, it transmits the traffic flow parameters to the data acquisition and control equipment of the upper computer through the cross layer pre-balanced safety transmission protocol of VANET in the wireless communication unit. The data acquisition and control equipment of the upper computer uses the traffic flow detection method based on the symmetrical difference to obtain the details of the moving objects in the traffic flow so as to realize the independent detection of the traffic flow parameters of the vehicle-borne sensor equipment. Experimental results show that the designed method has anti-interference abilities for the noise and light changes. Meanwhile, this method can completely extract moving objects from the traffic flow and can improve the detection effect of the moving objects in the traffic flow. Thus, the effectiveness of the proposed method can be fully verified.

scholarly journals Estimation of Lane-Level Traffic Flow Using a Deep Learning Technique

2021 ◽  
Vol 11 (12) ◽  
pp. 5619
Author(s):  
Chieh-Min Liu ◽  
Jyh-Ching Juang
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Moving Objects ◽  
Traffic Flows ◽  
Camera System ◽  
Control Center ◽  
Detection And Tracking ◽  
Vehicle Detection And Tracking ◽  
Learning Technique ◽  
And Control

This paper proposes a neural network that fuses the data received from a camera system on a gantry to detect moving objects and calculate the relative position and velocity of the vehicles traveling on a freeway. This information is used to estimate the traffic flow. To estimate the traffic flows at both microscopic and macroscopic levels, this paper used YOLO v4 and DeepSORT for vehicle detection and tracking. The number of vehicles passing on the freeway was then calculated by drawing virtual lines and hot zones. The velocity of each vehicle was also recorded. The information can be passed to the traffic control center in order to monitor and control the traffic flows on freeways and analyze freeway conditions.

Environmental technology: Fluidised-bed steam dryers — latest developments and practical experience

2016 ◽  
pp. 86-90
Author(s):  
Gerald Caspers ◽  
Klaus Nammert ◽  
Holger Fersterra ◽  
Hartmut Hafemann
Keyword(s):  
Data Acquisition ◽  
Early Stage ◽  
Practical Experience ◽  
Great Depth ◽  
Fluidised Bed ◽  
Operating Data ◽  
Beet Pulp ◽  
Improved Design ◽  
Distribution Plate ◽  
And Control

Fluidised-bed steam dryers have been in use for industrial-scale drying of pressed beet pulp for more than 20 years. This highly energy-efficient process can be considered to be state of the art in the industry. Scientific laboratory and pilot-plant testing have provided the basis for a detailed description of the principles of fluidisation and drying in superheated water vapour. Advances in production data acquisition, in particular regarding the options for the real-time presentation and evaluation of high-resolution operating data (Industry 4.0), have opened up new potentials for optimisation of the drying process in fluidised-bed steam dryers. By analysing and interpreting sequences of events, or simultaneous events, it is now possible to analyse process behaviour in great depth. This allows malfunctions to be avoided by improved design or, assisted by suitable measuring and control systems, to be detected at an early stage. Failures can then be prevented altogether by initiating automated countermeasures. On the basis of more recent insights gained from the analysis of faults and disruptions using modern operating data acquisition, BMA’s fluidised-bed steam dryer (WVT) has been subjected to fundamental technological and technical improvements, so it now meets today’s demands for efficiency and reliability. Modifications include the product inlet, the distribution plate and several other parts, in addition to the known and patented PPS (Plug Protection System; EP 2457649 B1), and the patented rotary weir (EP 2146167 B1).

Web-Based Small Scaled Portable Data Acquisition and Control Unit for Demand Side Load

2020 ◽  
Author(s):  
Meer Shadman Shafkat Tanjim ◽  
Ashrafun Nushra Oishi ◽  
Ali Azam Sojib ◽  
Md. Bashir Ahmmad ◽  
Md. Shaiful Islam ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Control Unit ◽  
Demand Side ◽  
Web Based ◽  
Side Load ◽  
And Control

Speckle interferometry. Data acquisition and control for the SPID instrument

1998 ◽  
Vol 45 (4) ◽  
pp. 2057-2061 ◽  
Author(s):  
S. Altarac ◽  
M. Tallon ◽  
E. Thiebaut ◽  
R. Foy
Keyword(s):  
Data Acquisition ◽  
Speckle Interferometry ◽  
And Control

Robotics Application in Remote Data Acquisition and Control for Solar Ponds

2012 ◽  
Vol 253-255 ◽  
pp. 705-715 ◽  
Author(s):  
Mohamed Elbanhawi ◽  
Milan Simic
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Energy Production ◽  
Green Energy ◽  
Industrial Robots ◽  
Sampling Station ◽  
Monitoring And Control ◽  
Solar Ponds ◽  
And Control ◽  
Remote Data

This paper presents one application of industrial robots in the automation of renewable energy production. The robot supports remote performance monitoring and maintenance of salinity gradient solar ponds. The details of the design, setup and the use of the robot sampling station and the remote Data Acquisition (DAQ) system are given here. The use of a robot arm, to position equipment and sensors, provides accurate and reliable real time data needed for autonomous monitoring and control of this type of green energy production. Robot upgrade of solar ponds can be easily integrated with existing systems. Data logged by the proposed system can be remotely accessed, plotted and analysed. Thus the simultaneous and remote monitoring of a large scale network of ponds can be easily implemented. This provides a fully automated solution to the monitoring and control of green energy production operations, which can be used to provide heat and electricity to buildings. Remote real time monitoring will facilitate the setup and operations of several solar ponds around cities.

Sign in / Sign up

Export Citation Format

Share Document