STATISTICAL SIMULATION OF RANDOM FIELD ON 2D AREA WITH WHITTLE-MATERN TYPECORRELATION FUNCTION IN THE GEOPHYSICAL PROBLEM OF ENVIRONMENT MONITORING

2019 ◽  
pp. 55-61
Author(s):  
Z. Vyzhva ◽  
V. Demidov ◽  
A. Vyzhva
Keyword(s):  
Correlation Function ◽  
Random Field ◽  
Monitoring System ◽  
Simulated Data ◽  
Simulation Method ◽  
Industrial Area ◽  
Statistical Simulation ◽  
Environment Monitoring ◽  
Geophysical Research ◽  
Monitoring Area

Due to the increasing number of natural and technogenic disasters the development of geological environment monitoring system is actual one using modern mathematical tools and information technology. The local monitoring of potentially dangerous objects is an important part of the overall environment monitoring system. The complex geophysical research was conducted on Rivne NPP area. The monitoring observations radioisotope study of soil density and humidity near the perimeter of buildings is of the greatest interest among these. In this case a problem occurred to supplement simulated data that were received at the control of chalky strata density changes at the research industrial area with use of radioisotope methods on a grid that included 29 wells. This problem was solved in this work by statistical simulation method that provides the ability to display values (the random field of a research object on a plane) in any point of the monitoring area. The chalk strata averaged density at the industrial area was simulated using the built model and the involvement optimal in the mean square sense Whittle-Matern type correlation function. In this paper the method is used and the model and procedure were developed with enough adequate data for Whittle-Matern type correlation function. The model and algorithm were developed and examples of karst-suffusion phenomena statistical simulation were given in the problem of density chalk strata monitoring at the Rivne NPP area. The statistical model of averaged density chalk strata distribution was built in the plane and statistical simulation algorithm was developed using Whittle-Matern type correlation function on the basis of spectral decomposition. The research subject realizations were obtained with required detail and regularity at the observation grid based on the developed software. Statistical analysis of the numerical simulation results was done and tested for its adequacy.

scholarly journals THE STATISTICAL SIMULATION OF DATASET IN 3D AREA WITH SPHERICAL СОRRELATION FUNCTION ON RIVNE NPP EXAMPLE

2020 ◽  
pp. 85-93
Author(s):  
Z. Vyzhva ◽  
V. Demidov ◽  
A. Vyzhva
Keyword(s):  
Monitoring System ◽  
Simulated Data ◽  
Simulation Method ◽  
Industrial Area ◽  
Statistical Simulation ◽  
Environment Monitoring ◽  
Geophysical Research ◽  
The Mean ◽  
Monitoring Area ◽  
Adequate Data

Due to the increasing number of natural and technogenic disasters, the development of geological environment monitoring system is actual in using modern mathematical tools and information technology. The local monitoring of potentially dangerous objects is an important part of the overall environment monitoring system. The complex geophysical research was conducted on Rivne NPP area. The monitoring observations radioisotope study of soil density and humidity near the perimeter of buildings is of the greatest interest among these. In this case a problem occurred to supplement simulated data that were received at the control of chalky strata density changes at the research industrial area with use of radioisotope methods on a grid that included 29 wells. This problem was solved in this work by statistical simulation method that provides the ability to display values (the random field of a research object in 3D area) in any point of the monitoring area. The chalk strata averaged density at the industrial area was simulated using the built model and the involvement optimal in the mean square sense spherical correlation function. In this paper, the method is used and the model and procedure were developed with enough adequate data forsphericalcorrelation function. The model and algorithm were developed and examples of karst-suffusion phenomena statistical simulation were given in the problem of density chalk strata monitoring at the Rivne NPP area. The statistical model of averaged density chalk strata distribution was built in 3D area and statistical simulation algorithm was developed using spherical correlation functionbased on spectral decomposition. The research subject realizations were obtained with required detail and regularity at the observation grid based on the developed software. Statistical analysis of the numerical simulation results was done and tested for its adequacy.

scholarly journals Environment monitoring system in industrial area and Safety of workers

2017 ◽  
Author(s):  
Saif Sulaiman Hamood Al Fori ◽  
Shaik Asif Hussain
Keyword(s):  
Monitoring System ◽  
Remote Monitoring ◽  
Industrial Area ◽  
Monitoring Station ◽  
Specific Function ◽  
Environment Monitoring ◽  
Control Room ◽  
Wireless System ◽  
Standard Value ◽  
Ph Level

Environment monitoring system in industrial area and Safety of workers is system to monitor the pollution inside the factories and provide safety place for the workers and uses Wi-Fi to transfer the data to the control room. The main objective of the project is to monitor the  pollution  which comes from factories to protect the environment and workers inside factories are used to Measure the CO Content and getting a message through GSM the Value is transferred when it is more than the threshold. It also uses monitor the temperature and display on LCD, when the value more than the standard value by getting SMS on the GSM and Buzzer on. It also measures the PH level of the water and display the values on the LCD. These values of humidity is displayed on LCD. One of the specific function of this system is it by Count the number of workers who are entry or leaving from the factory. A wireless System is used to Transfer these data (temperature and IR) to remote monitoring station.  

Affordable real-time environment monitoring system for greenhouses

2016 ◽  
Author(s):  
Supun Athukorala ◽  
Irunika Weeraratne ◽  
Dumindu Jayathilaka ◽  
Asitha Bandaranayake ◽  
Roshan Ragel
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Environment Monitoring

scholarly journals Opportunistic Cooperative Sensing for Indoor Complex Environment Monitoring

2017 ◽  
Vol 13 (08) ◽  
pp. 4
Author(s):  
Yong Jin ◽  
Zhenjiang Qian ◽  
Xiaoshuang Xing ◽  
Lu Shen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Environmental Monitoring ◽  
Monitoring System ◽  
Living Environment ◽  
Wireless Sensor ◽  
Environment Monitoring ◽  
Communication Services ◽  
Environmental Monitoring System ◽  
Major Bottleneck

ensor nodes vulnerable becomes a major bottleneck restricting the wide application of wireless sensor networks WSNs (Wireless Sensor Networks). In order to satisfy the needs of industrial production and daily living environment monitoring, it is important to improve the survivability of wireless sensor networks in environmental monitoring application. In order to have a reliable environment monitoring system, this paper analyzed the damage types and causes of WSNs and the measurement methods of WSNs survivability. Then, we studied the fault detection method and finally realized the design can improve the survivability of the scheme. The robust guarantee scheme through hardware design and algorithm model, realized the remote wireless communication services and prolonged the network life cycle, so as to improve the survivability of the environmental monitoring system.

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