Multichannel-Multistage Recognition System for Diagnostics and Control of Dynamic Objects

According to the shortcomings of large volume and high cost about the plate recognition system, an embedded plate recognition system is developed based on the ARM11 processor at lower costs. Taking the embedded Linux system as the software development platform, the system uses graphical user interface to operate and control the machine. Using CMOS camera system as image acquisition device, the system adopts HSV algorithm to realize the image classification on the platform of the embedded plate recognition system. The experimental results show that the embedded system runs stably, can realize the plate classification by color, and has the advantages of small size, low power consumption, convenience for using and so on. The embedded system provides a new thought for plate recognition.

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Diagnostics and control of three-dimensional behaviours of microdischarge in a unit cell of an ac-type plasma display panel

Journal of Physics D Applied Physics ◽

10.1088/0022-3727/36/23/010 ◽

2003 ◽

Vol 36 (23) ◽

pp. 2928-2939 ◽

Cited By ~ 21

Author(s):

Y Shintani ◽

J-C Ahn ◽

K Tachibana ◽

T Sakai ◽

N Kosugi

Keyword(s):

Three Dimensional ◽

Unit Cell ◽

Plasma Display Panel ◽

Diagnostics And Control ◽

Plasma Display ◽

And Control

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RESEARCH ON REMOTE OPERATING SYSTEM OF PICKING ROBOT BASED ON BIG DATA AND WIFI

INMATEH Agricultural Engineering ◽

10.35633/inmateh-64-44 ◽

2021 ◽

pp. 447-456

Author(s):

Beibei Sun

Keyword(s):

Operating System ◽

Big Data ◽

Remote Monitoring ◽

Agricultural Production ◽

Recognition System ◽

Main Mode ◽

Agricultural Robots ◽

Remote Monitoring System ◽

Modern Agriculture ◽

And Control

Agricultural mechanization has become the main mode of agricultural production and represents the development direction of modern agriculture. The amount of data generated in the agricultural production process is extremely huge, so it is necessary to introduce the concept and analysis method of big data. Combining agricultural robots with big data can improve the performance and application effect of robots. This paper combines big data, WLAN technology and robot technology to realize man-machine remote cooperation platform. This gives full play to the advantages that people are good at object recognition and robots are good at execution, and improves the fruit picking efficiency. The target fruit positioning and recognition system aided by machine vision is adopted to realize the accurate positioning of the fruit to be picked. Design of LFM control signal fitting based on big data clustering. In order to verify the feasibility of the scheme, taking the tomato picking robot as an example, the communication error and control accuracy using big data and WIFI (Wireless Fidelity) technology were tested, and the positioning and navigation efficiency with and without remote monitoring system was compared. Test results show that using big data and WIFI remote monitoring technology can effectively improve the efficiency and accuracy of positioning and navigation of remote operating system, which is of great significance for the design of automatic control system of picking robot.

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Power plant diagnostics and control by unsteady combustion using a modulated plasmatron

Combustion Explosion and Shock Waves ◽

10.1007/bf00755954 ◽

1995 ◽

Vol 31 (1) ◽

pp. 42-47

Author(s):

A. I. Kitaev ◽

S. A. Abrukov ◽

N. I. Kidin

Keyword(s):

Power Plant ◽

Unsteady Combustion ◽

Diagnostics And Control ◽

And Control

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CMAC Neural Network and Its Use in Problems of Identification and Control of Nonlinear Dynamic Objects

Cybernetics and Systems Analysis ◽

10.1007/s10559-006-0002-x ◽

2005 ◽

Vol 41 (5) ◽

pp. 647-658 ◽

Cited By ~ 3

Author(s):

O. G. Rudenko ◽

A. A. Bessonov

Keyword(s):

Neural Network ◽

Nonlinear Dynamic ◽

Cmac Neural Network ◽

Dynamic Objects ◽

And Control

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VIRAL ARTERITIS IN HORSES: ETIOLOGY, DIAGNOSTICS AND CONTROL MEASURES

10.31016/viev-2021-18-16 ◽

2021 ◽

pp. 101-106

Author(s):

Svetlana Alexeenkova ◽

Keyword(s):

Control Measures ◽

Diagnostics And Control ◽

And Control

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Principles of Formation of a Vehicle’s Remote Diagnostics

MATEC Web of Conferences ◽

10.1051/matecconf/201930201019 ◽

2019 ◽

Vol 302 ◽

pp. 01019

Author(s):

Łukasz Muślewski ◽

Roman Zinko ◽

Oleg Polishchuk

Keyword(s):

Remote Access ◽

High Rate ◽

Control Parameters ◽

Diagnostics And Control ◽

Preventive Control ◽

Serial Production ◽

Remote Diagnostics ◽

Intellectual System ◽

Access To Data ◽

And Control

Complex of remote diagnostics and control of an automobile’s nodes enables to remotely control the state of vehicle’s nodes and diagnose malfunctions; control ecological norms and compliance with traffic regulations. Its implementation will allow diagnostics of intermittent malfunctions due to application of the proposed methods of remote diagnostics of an automobile’s nodes as well as to reduce terms of diagnostics significantly due to application of intellectual system of malfunctions detection and due to possibility to control parameters in real time mode. Implementation of the complex will cut unforeseen idle time of vehicles due to preventive control of the tendencies in nodes parameters changes, and due to executing modern repair or replacement of nodes and units. The complex grants safe local and remote access to data and reports by using WebPortal and VPN technologies with possibility to appoint personal right to every user. Due to application of the elaborated methods and the complex that implements it, one can achieve high rate of economic efficiency due to collection of statistic information under conditions of actual exploitation, diagnostics of emerging malfunctions of various difficulty degrees, and making necessary corrections in the structure of an automobile’s nodes prior to serial production launch.

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