scholarly journals Uncertainty of the implementation time of geodynamic monitoring system in multi-criteria ranking of alternatives

2020 ◽  
Vol 17 (3) ◽  
pp. 1249
Author(s):  
O.R. Kuzichkin ◽  
I.V. Loginov ◽  
V.T. Eremenko ◽  
S. V. Eremenko ◽  
G.S. Vasilyev ◽  
...  
Keyword(s):  
Monitoring System ◽  
Time Factors ◽  
Monitoring Systems ◽  
Time Varying ◽  
Functional Characteristics ◽  
Quality Properties ◽  
Geodynamic Monitoring ◽  
Implementation Time ◽  
Ranking Of Alternatives ◽  
Technical Solutions

<p>The paper deals with the problem of ranking alternatives to geodynamic monitoring systems in the case of uncertainty of their implementation time. The problem is characterized by the fact that the choice of alternatives and the effect of it depends on the quality properties of the applied organizational and technical solutions, taking into account the time of implementation. The ordering of alternatives is proposed taking into account the uncertainty of the implementation time factors. Ranking is realized by comparing the trees of functional characteristics of alternatives taking into account the compliance of their characteristics with time-varying requirements. The scope of the proposed method is the choice of configurations of geodynamic monitoring systems with significant differences in the implementation time of alternatives.</p>

scholarly journals Experience with control systems and monitoring of the used computing resources of corporate HPC system

2021 ◽  
Vol 16 (92) ◽  
pp. 82-91
Author(s):  
Andrei A. Kataev ◽  
◽  
Maxim A. Vikulin ◽  
Keyword(s):  
Monitoring System ◽  
Management System ◽  
High Performance ◽  
Subject Area ◽  
Point Of View ◽  
Monitoring Systems ◽  
Control And Management ◽  
Market Solutions ◽  
Technical Solutions ◽  
General Architecture

This article discusses modern server monitoring systems. The subject area under review concerns the control and management of high-performance computing systems (HPC). These systems are used in various branches of science and industry for modeling systems and their behavior in various conditions. The speed of the simulation depends on the applied technical solutions as part of the computing complex. These include the type of internal network, the number and types of computing nodes. For computing nodes, consider such parameters as the architecture and model of the processor, the amount of RAM. The features associated with the implementation of specific mathematical models that affect the speed of calculations are not considered in this article. The paper analyzes the existing market solutions and the main concepts used for the management and monitoring systems of such complexes. The systems under consideration are evaluated from an economic and technical point of view. For the available systems, a full-scale study of the cluster management and status monitoring capabilities is conducted. The set of parameters recorded by the monitoring system is taken based on the general architecture of the HPC and the approach to the administration of server systems. The practical part describes the experience of designing and implementing a promising management system. In the system being created, the main focus is on creating a management system. The justification for the need for a separate software product is given in the text of the article. Implementation issues in a specific program code and system environment are omitted, as they depend on the specific execution of the system. The task of creating your own monitoring system is considered insignificant, provided that existing solutions are available.

scholarly journals Detection of Road-Surface Anomalies Using a Smartphone Camera and Accelerometer

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 561
Author(s):  
Taehee Lee ◽  
Chanjun Chun ◽  
Seung-Ki Ryu
Keyword(s):  
Monitoring System ◽  
Poor Performance ◽  
Road Surface ◽  
Monitoring Systems ◽  
Advantages And Disadvantages ◽  
Acceleration Data ◽  
Road Surfaces ◽  
Road Surface Monitoring ◽  
Surface Monitoring ◽  
Acquisition Method

Road surfaces should be maintained in excellent condition to ensure the safety of motorists. To this end, there exist various road-surface monitoring systems, each of which is known to have specific advantages and disadvantages. In this study, a smartphone-based dual-acquisition method system capable of acquiring images of road-surface anomalies and measuring the acceleration of the vehicle upon their detection was developed to explore the complementarity benefits of the two different methods. A road test was conducted in which 1896 road-surface images and corresponding three-axis acceleration data were acquired. All images were classified based on the presence and type of anomalies, and histograms of the maximum variations in the acceleration in the gravitational direction were comparatively analyzed. When the types of anomalies were not considered, it was difficult to identify their effects using the histograms. The differences among histograms became evident upon consideration of whether the vehicle wheels passed over the anomalies, and when excluding longitudinal anomalies that caused minor changes in acceleration. Although the image-based monitoring system used in this research provided poor performance on its own, the severity of road-surface anomalies was accurately inferred using the specific range of the maximum variation of acceleration in the gravitational direction.

Development of an Acoustic-Based Riser Monitoring System

2009 ◽  
Author(s):  
Dai Wei ◽  
Yong Bai
Keyword(s):  
Gulf Of Mexico ◽  
Monitoring System ◽  
Fatigue Damage ◽  
Monitoring Systems ◽  
Design Tools ◽  
Complex Behavior ◽  
Maintenance And Repair ◽  
Future Design ◽  
Integrity Assurance ◽  
Deepwater Risers

Recent incidents with drilling risers in the Gulf of Mexico have led the industry’s application of more stringent integrity assurance requirements to its deepwater risers. Riser monitoring provides information that enables the operator to measure riser configurations and fatigue damage, confirm the integrity of the riser, assist with operational decisions, optimize inspection, maintenance and repair schedules /procedures and calibrate design tools. Monitoring can also improve the understanding of complex behavior of risers for the improvement to future design and analysis tools. This paper presents the characters of three different monitoring systems that suit specific objectives and requirements. An example project of acoustic approach is introduced with its working mode and design scheme.

Compressor Computerized Performance Monitoring System CPMS

2021 ◽  
Author(s):  
Vadim Goryachikh ◽  
Fahad Alghamdi ◽  
Abdulrahman Takrouni
Keyword(s):  
Natural Gas ◽  
Real Time ◽  
Monitoring System ◽  
Performance Monitoring ◽  
Compressibility Factor ◽  
Background Information ◽  
Monitoring Systems ◽  
Turbo Expander ◽  
Time Calculation ◽  
Performance Deterioration

Abstract Background information Natural gas liquid (NGL) production facilities, typically, utilize turbo-expander-brake compressor (TE) to generate cold for C2+ separation from the natural gas by isentropic expansion of feed stream and use energy absorbed by expansion to compress residue gas. Experience shows that during operational phase TE can exposed to operation outside of design window that may lead to machine integrity loss and consequent impact on production. At the same time, there is a lack of performance indicators that help operator to monitor operating window of the machine and proactively identify performance deterioration. For instance, TE brake compressor side is always equipped with anti-surge protection system, including surge deviation alarms and trip. However, there is often gap in monitoring deviation from stonewall region. At the same time, in some of the designs (2×50% machines) likelihood of running brake compressor in stonewall is high during one machine trip or train start-up, turndown operating modes. Also, typical compressor performance monitoring systems does not have enough dynamic parameters that may indicate machine process process performance deterioration proactively (real-time calculation of actual polytrophic efficiency, absorbed power etc.) and help operator to take action before catastrophic failure occurs. In addition, typical compressor monitoring systems are based on assumed composition and fixed compressibility factor and do not reflect actual compositions variations that may affect machine performance monitoring. To overcome issues highlighted above, Hawiyah NGL (HNGL) team has developed computerized monitoring and advisory system to monitor the performance of turbo-expander-brake compressor, proactively, identify potentially unsafe conditions or performance deterioration and advice operators on taking necessary actions to avoid unscheduled deferment of production. Computerized performance monitoring system has been implemented in HNGL DCS (Yokogawa) and utilized by control room operators on day-to-day basis. Real-time calculation, analysis and outputs produced by performance monitoring system allow operator to understand how current operating condition are far from danger zone. Proactive deviation alarms and guide messages produce by the system in case of deviation help operators to control machine from entering unsafe region. Actual polytrophic efficiency, adsorbed power calculations provide machine condition status and allow identifying long-term performance deterioration trends.

NEW APPROACHES TO THE SYNTHESIS OF AUTOMATIC SEISMIC MONITORING SYSTEMS

2020 ◽  
pp. 73-81
Author(s):  
B. M. Shubik ◽  
Keyword(s):  
Monitoring System ◽  
Traditional Approach ◽  
Automatic Monitoring ◽  
Seismic Monitoring ◽  
Monitoring Systems ◽  
Computational Techniques ◽  
Frequency Model ◽  
Complexity Of Algorithms ◽  
New Approaches ◽  
Detection And Localization

The processes of development of hydrocarbon deposits are accompanied, as a rule, by an increase in the level of seismicity and, in particular, by the occurrence of technogenic earthquakes and other deformation phenomena associated with changes in the geodynamic regime. To monitor deformation and geodynamic processes, a seismic monitoring service should be organized. A similar monitoring system is also required for the analysis of aftershock and volcanic activity. Monitoring technology should be based on the use of reliable and fast methods of automatic detection and localization of seismic events of various scales. Traditional approaches to the detection and localization of earthquake epicenters and hypocenters are based on the analysis of data recorded by one or more single seismic stations. In that case, seismic event coordinates are estimated by means of signal extraction from noise and accurately measuring arrival times of a number of specific phases of the seismic signal at each recording point. Existing computational techniques have inherited this traditional approach. However, automatic procedures based on the ideology of manual processing turn out to be extremely laborious and ineffective due to the complexity of algorithms adequate to the actions of an experienced geophysicist-interpreter. The article contains a description of new approaches to the synthesis of automatic monitoring systems, which are based on the principles of emission tomography, use of spatial registration systems, energy analysis of wave fields and methods of converting real waveforms into low-frequency model signals (so-called filter masks/templates). The monitoring system was successfully tested in the process of detecting and locating the epicenters and hypocenters of 19 weak local earthquakes in Israel, as well as a quarry explosion.

scholarly journals The actual operation assessment of the railway bridge superstructure using a mobile monitoring system

2018 ◽  
Vol 5 (4) ◽  
Author(s):  
Timofey Baranov ◽  
Evgeniy Tolstikov
Keyword(s):  
Monitoring System ◽  
Theoretical Calculations ◽  
Monitoring Systems ◽  
Railway Bridge ◽  
Mobile Monitoring ◽  
Dynamic Factors ◽  
Actual Operation ◽  
Stress Ratios ◽  
Relationship Of ◽  
The Relationship

Deviations in the operation of the operated bridge structures on the railway are detected when damage occurs. At the same time, early detection and prognosis of damage progress can be obtained using monitoring systems. The article presents the methods and technologies for the use of mobile monitoring systems for assessing the actual operation of the metal superstructure of the railway bridge with the main driving trusses. The hardware of the measuring complex is considered, the main measuring instrument is the glued electrical strain gauges. The monitoring system kept a continuous record of sensor readings for 28 days. To process the data received by the monitoring system, specialized software has been developed that systematizes the incoming information. Analysis of the actual supertructure operation is carried out by finding the relationship of stresses in the various elements of the superstructure, arising under the same load. This approach allowed us to exclude the factor of unknown intensity of the temporary load. The results of monitoring the work of the superstructure are given. In total, over 680 train passage records were analyzed, which allowed for a statistical description of the data. The theoretical values of the relationship of stresses in the elements of the superstructure are determined using the apparatus of the influence lines obtained by a numerical method. The conclusions are made about the distribution of deformations of the superstructure under temporary load and about the degree of compliance with theoretical calculations. The construction factors and the values of their statistical scatter are determined, the actual dynamic factors are statistically calculated. The construction factors calculated from the stress ratios lie in the range of 0.8-1.116. Dynamic factors are within 1.13 and do not exceed the rated values.

scholarly journals Agriculture Monitoring System Using IoT: A Review Paper

2021 ◽  
Vol 9 (1) ◽  
pp. 01-06
Author(s):  
Hafiz Saad Ahmad, Ali Hasnain
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Review Paper ◽  
Cost Effective ◽  
Monitoring Systems ◽  
Agriculture Sector ◽  
Crucial Part ◽  
Processing Mechanism

In recent years evolution of Internet of Things has brought revolution in many different sectors.  The agriculture sector has become efficient and cost effective due to role of IoT. Monitoring systems has become the crucial part of agriculture. In past few years lot of work is been done and many systems has been purposed in this regard. In this paper we are going to make comparison between 4 different agriculture monitoring systems. We are also going to discuss what type of hardware including different sensors are used in those systems. We are also going to discuss software and platform on which those applications run. We will also discuss processing mechanism and what kind of algorithms are used in these systems and in the last we are going to make a comparative table based on these parameters.

scholarly journals The methodical issues of industrial energy monitoring systems implementation

2020 ◽  
pp. 47-56
Author(s):  
V. Nakhodov ◽  
O. Borychenko ◽  
A. Cherniavskyi
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Monitoring System ◽  
Energy Management ◽  
Specific Energy ◽  
Management System ◽  
Specific Energy Consumption ◽  
Monitoring Systems ◽  
Energy Management System ◽  
Energy Monitoring

Statistics show that energy is one of the highest operating costs in a manufacturing enterprise. So, improving energy efficiency can lead to a significant increase in profits and reduce the impact of the enterprise on the environment. To increase the performance of energy efficiency activities, it is necessary to implement an energy management system. One of the components of this system is energy monitoring, which, in turn, is based on the periodic collection and analysis of data to assess the state of the monitoring objects in terms of energy efficiency. In this paper, the role and place of energy monitoring in the energy management system of an industrial enterprise are noted. The paper proposes the concept of creating energy monitoring system in industrial companies, which is based on the combination of a monitoring system based on specific energy consumption, and usage of group energy characteristics of production facilities. Implementing such energy monitoring systems will allow to conduct operational control of energy efficiency of production facilities by creating individual systems for monitoring energy efficiency, as well as successfully carry out such monitoring at the enterprise and its subdivisions over longer periods of time using specific energy consumption indicators. It also provides general guidelines for conducting energy monitoring. These guidelines were formed based on the results of studying various methods and scientific publications in the field of energy monitoring, as well as on the basis of practical experience in the development and implementation of energy management systems. Particular attention is paid to the issues of processing and analysis of information about the objects of energy monitoring of industrial enterprises. The practical application of the concept of creating energy monitoring systems envisages gradual improvement of the existing monitoring system based on the specific energy consumption, which will be further completely replaced with individual energy efficiency monitoring systems.

Review on the wearable health-care monitoring system with robust motion artifacts reduction techniques

Sensor Review ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aarthy Prabakaran ◽  
Elizabeth Rufus
Keyword(s):  
Health Care ◽  
Monitoring System ◽  
Learning Algorithm ◽  
Motion Artifacts ◽  
Sensor Data ◽  
Monitoring Systems ◽  
Design Modification ◽  
Content Type ◽  
Wearable Monitoring Systems ◽  
Health Care Monitoring

Purpose Wearables are gaining prominence in the health-care industry and their use is growing. The elderly and other patients can use these wearables to monitor their vitals at home and have them sent to their doctors for feedback. Many studies are being conducted to improve wearable health-care monitoring systems to obtain clinically relevant diagnoses. The accuracy of this system is limited by several challenges, such as motion artifacts (MA), power line interference, false detection and acquiring vitals using dry electrodes. This paper aims to focus on wearable health-care monitoring systems in the literature and provides the effect of MA on the wearable system. Also presents the problems faced while tracking the vitals of users. Design/methodology/approach MA is a major concern and certainly needs to be suppressed. An analysis of the causes and effects of MA on wearable monitoring systems is conducted. Also, a study from the literature on motion artifact detection and reduction is carried out and presented here. The benefits of a machine learning algorithm in a wearable monitoring system are also presented. Finally, distinct applications of the wearable monitoring system have been explored. Findings According to the study reduction of MA and multiple sensor data fusion increases the accuracy of wearable monitoring systems. Originality/value This study also presents the outlines of design modification of dry/non-contact electrodes to minimize the MA. Also, discussed few approaches to design an efficient wearable health-care monitoring system.

Smart Healthcare Monitoring System for War-End Soldiers Using CNN

2021 ◽  
pp. 166-199
Author(s):  
Preethi S. ◽  
Prasannadevi V. ◽  
Arunadevi B.
Keyword(s):  
Monitoring System ◽  
Health Monitoring ◽  
Military Personnel ◽  
Vital Role ◽  
Monitoring Systems ◽  
Health Issues ◽  
Smart Healthcare ◽  
Emergency Assistance ◽  
Healthcare Monitoring ◽  
Wearable Monitoring Systems

Health monitoring plays a vital role to overcome the health issues of the patients. According to research, approximately 2000 people die due to carelessness of monitoring their health. Wearable monitoring systems record the activities of daily life. A 24-hour wearable monitoring system was developed and changes were identified. This project is designed for helping the soldiers to maintain their health conditions and to identify their health issues at war's end. Different health parameters are monitored using sensors, and the data are transmitted through GSM to the receiver, and the received data are analyzed using convolutional neural networks, which is performed in cloud IoT. If any abnormalities are found during the analyzing process, the message is sent to military personnel and the doctor at the camp so that they could take necessary actions to recover the ill soldier from the war field and provide emergency assistance on time. The location of the soldier is also shared using the input from GPS modem in the smart jacket.

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