Scientific analysis of the functioning of the hardware of the monitoring system of road vehicles

2021 ◽  
pp. 10-20
Author(s):  
S. M. Grushetskiy

As you know, the system of monitoring of road machines is a developing system, the work of which raises many questions, as well as among specialists who install these systems at the objects of work, as well as persons operating the installed systems of monitoring of road machines. Therefore, this article considers the main types of sensors and other elements of the monitoring system of road machines installed on almost all modern road machines. We will talk about the hardware part of the monitoring system of road machines — these are elements of the system that are installed directly at monitoring facilities. The accuracy and correctness of the installation, the accuracy of data transmission depends on the objectivity of the final information, and therefore the result of the work of the monitoring system of road machines. The monitoring system of road machines is a complex system that has a large number of features in operation. The purpose of this article is to identify and analyze the main issues on the installation and operation of the hardware of road machines. The article may have a scientific and practical interest not only among persons engaged in the installation and operation of the monitoring system of road machines, but also among scientific personnel engaged in research in this field. Keywords: road machines, monitoring system, sensors, operation of machines, scientific component

Mechatronics ◽  
2021 ◽  
Vol 74 ◽  
pp. 102492
Author(s):  
Simone Formentin ◽  
Luca Onesto ◽  
Tommaso Colombo ◽  
Alessandro Pozzato ◽  
Sergio M. Savaresi

2011 ◽  
Vol 121-126 ◽  
pp. 1259-1263
Author(s):  
Zhong Min Yao ◽  
Xi Guang Liu ◽  
Ya Zhen Wang

With the application scale and area of the building PV power station continuous extension, data transmission and monitoring management of the building PV power station have become increasingly important.This paper introduces a kind of data delivering and distributed monitoring management system of the building PV power station based on ZigBee wireless network,this system has information transmission modules based on ZigBee wireless network, region monitoring and magement module and remote access module. ZigBee wireless network could deliver datas of the building PV power station to the center of region monitoring and management system,ultimately,the datas were deposited in the database of region monitoring and management system,The Electricity Regulatory Office and The Power Company used remote transmission and monitoring system by remote access system on the Internet, to access data reports of the building PV power station in the database of region monitoring and magement system.System test results can carry out the building PV power station’s data transmission, monitoring system’s data management and remote access by the Internet.


2012 ◽  
Vol 452-453 ◽  
pp. 1301-1306
Author(s):  
Jian Jun Yi ◽  
Jian Gang Fan ◽  
Hui Jiang ◽  
Ying Cheng ◽  
Shao Li Chen

Real time Monitoring system is an important gurantee for the water quality. SDI-12 water sensors are used to monitor the water conductivity, temperature, dissolved oxygen, Ph, turbidity and other parameters in this paper. The signal of the wastewater is collected to the ARM chip, and then it is processed by the chip. The preliminary result will be displayed on a handheld terminal in real time. The handheld terminal also integrates the function of remote data transmission, which can transmit the original water data to a central server for storage via GPRS. Central server analyse the wastewater data based on ontology. Meanwhile, the system can also control water detector via remote control, which realizes the unattended effect.


2018 ◽  
Vol 239 ◽  
pp. 01014 ◽  
Author(s):  
Svetlana Makasheva ◽  
Pavel Pinchukov

The paper deals with the problem of automated monitoring system improvement. The goal of the study is to create a controlling module of automated monitoring system for automation of calculations and assessment process of traction transformer's remaining life analysis. To achieve the goal, the modern power transformer’s diagnostic systems and methods of scientific analysis are considered, full-scaled experimental study are used. To adjust the timing of the current and major repairs, it is proposed to improve this monitoring system by creating an additional module to determine the traction transformer’s remaining life throughout its life cycle in real time and the formation of a warning system. Requirements to transformer’s remaining life assess module are formulated. Calculation algorithm and program module for identifying the transformer’s remaining life parameters are described. Benefits of introduction into the existing AMS a new additional module for calculating the transformer’s remaining life are shown.


Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 336
Author(s):  
Feiyang Zhang ◽  
Guangxing Wang ◽  
Yueming Hu ◽  
Liancheng Chen ◽  
A-xing Zhu

Quality monitoring is important for farmland protection. Here, high-resolution remote sensing data obtained by unmanned aerial vehicles (UAVs) and long-term ground sensing data, obtained by wireless sensor networks (WSNs), are uniquely suited for assessing spatial and temporal changes in farmland quality. However, existing UAV-WSN systems are unable to fully integrate the data obtained from these two monitoring systems. This work addresses this problem by designing an improved UAV-WSN monitoring system that can collect both high-resolution UAV images and long-term WSN data during a single-flight mission. This is facilitated by a newly proposed data transmission optimization routing protocol (DTORP) that selects the communication node within a cluster of the WSN to maximize the quantity of data that can be efficiently transmitted, additionally combining individual scheduling algorithms and routing algorithms appropriate for three different distance scales to reduce the energy consumption incurred during data transmission between the nodes in a cluster. The performance of the proposed system is evaluated based on Monte Carlo simulations by comparisons with that obtained by a conventional system using the low-energy adaptive clustering hierarchy (LEACH) protocol. The results demonstrate that the proposed system provides a greater total volume of transmitted data, greater energy utilization efficiency, and a larger maximum revisit period than the conventional system. This implies that the proposed UAV-WSN monitoring system offers better overall performance and enhanced potential for conducting long-term farmland quality data collection over large areas in comparison to existing systems.


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