Field Monitoring System Research Articles

Real time crop field monitoring system using agriculture IoT systems

Real time crop field monitoring system using agriculture IoT systems

Dynamic characteristics analysis of an in-service SYMS based on long-term field monitoring

The soft yoke mooring system (SYMS), which is widely used in China Bohai Bay and Gulf of Mexico, is the main mooring structure used by floating production storage and offloading (FPSO) in shallow water. Due to its multi-joint connection mode, the SYMS can realize the weathervane effect and ensure that FPSO vessel is at a position with the minimized ocean environmental loading. However, the complexity of ocean environmental loads and the non-linearity of SYMS structures make it difficult to predict the motion behaviors and force states that will be experienced by in-service SYMS, which can affect estimations of structural health status. Dynamic characteristics analysis of in-service SYMS is capable of addressing this complex problem and providing accurate estimations for improving mooring system design and safety. In this paper, a multi-body dynamic model for long-term service SYMS is established. Based on the data from a field monitoring system, the long-term motion characteristics of an in-service SYMS is analyzed. By combining the multi-body dynamic model with monitoring data, the long-term internal force statuses of each hinge joint is calculated. Then, the distribution of hinge joints load and horizontal restoring force are obtained, which provide effective numerical references for service life predictions of future SYMS and safety analysis of in-service SYMS.

Branch “Institute of Atomic Energy” RSE NNC RK

The paper highlights the issues of the ionizing radiation occurrence at electrophysical installations, their properties, substantiates, the need to equip the KTM Tokamak installation with a stationary, automated radiation field monitoring system, offers a set of engineering solutions based on the results of the analysis of irradiation monitoring data and general irradiation safety requirements. It is shown that the proposed solutions will allow recording the process of occurrence and parameters of the ionizing irradiation, as well as monitoring the irradiation situation during the experimental work on the KTM Tokamak installation.

Soil water and solute transport in an Andosol apple orchard including the dormancy period in a snowy cold region

Early spring corresponds to the snowmelt season in apple orchards of the northern hemisphere. This has a significant effect on the initial growth of shoots and flower buds of apple trees. Understanding the soil environment of the orchard during the non-growth period as monitored by farmers is important for managing year-round apple production. However, the details of mass transport, such as that of soil water and solute, during the non-growing season in the Andosols remain unclear. This study conducted soil environment monitoring in an Andosol apple orchard in Aomori Prefecture, Japan, during the non-growing season in winter to examine the year-round changes in the soil environment, using a field monitoring system that is necessary for understanding the soil environment. Volumetric water content, soil bulk electrical conductivity, and soil temperature were measured, and the cumulative changes in total soil moisture (ΣΔTSM) were calculated from the monitored volumetric water content. Results showed that although ΣΔTSM tended to increase (i.e., dry out) annually with periodicity, the variation was small compared to that of apple orchards with gravelly brown forest soil. These results could significantly influence fertilization management of apple orchard soil during the summer drought season and early spring when the roots of apple trees begin taking up nutrients. In particular, it was revealed that if sufficient nutrients remain in the soil pore water in early spring, the negative impact of excessive fertilization on the surrounding environment can be reduced. Therefore, this study constitutes an innovative step in the implementation of field monitoring system to understand the details of mass transport in the Andosol apple orchard soil.

Study on the Dynamic Ice Load of Offshore Wind Turbines with Installed Ice-Breaking Cones in Cold Regions

The dynamic ice load of conical offshore wind turbines (OWTs) in cold regions is unclear. The ice force period is the key parameter used to establish an ice force model for conical structures. To obtain ice load data, a field monitoring system was installed on an OWT in a cold region in China. Based on the monitoring data, a new formula for calculating the ice force period of conical structures was established. By comparing the period calculated with this formula and the measured ice force period, it was found that the calculated data generally agreed with the measured data. Then, a random dynamic ice force model for conical OWTs can be established. Based on this ice force model, the ice-induced vibration of an OWT was analyzed with the ANSYS finite element software. The results are in good agreement with the measured data obtained from the OWT in the time and frequency domains. Therefore, the random dynamic ice force model established in this paper can be used to evaluate the ice resistance performance of conical OWTs in cold regions.

IoT Based Temperature and Soil Monitoring System with Motor Pump Control

Abstract: To serve the humanity nowadays technology is playing an exquisite role and a man’s basic and first need is food indeed. It will be said that about over 85% of individuals of India are directly, indirectly relied on agriculture. Proper irrigation by pump can not be maintained because of frequent power outages, unavailability of grid lines in remote areas and scarcity/cost of fuel to run pumps. to create the sustainable irrigation system and field monitoring system for convalescing crops growth also as best production, this IOT based Automatic irrigation system is proposed. during this system IOT and WSN are wont to control and monitor the irrigation system. IOT is employed to get stored data monitoring and real time monitoring of varied contents of soil. WSN is employed to create a totally wireless system to form a user-friendly system to cultivate and irrigate water properly to the sphere. Different types of sensors are used. This report presents a totally automated drip irrigation system which is controlled and monitored by using “Thinks peak Cloud Server”. Temperature and also the humidity content of the soil are frequently monitored. The system informs user about any abnormal conditions like less moisture content and temperature rise, even concentration of water by sending notifications through the wireless module.

Research on the implementation method of loom monitoring

A loom monitoring system was designed and developed to realize monitoring loom in both industrial field and remote network environments and to meet the on-site workers’ convenient operation and centralized management of enterprises. This article uses the touch screen as the main carrier of the field system and cooperates with configuration technology and expert system to realize fault diagnosis. And this article uses the B/S architecture as the remote system cloud platform network architecture which builds the Redis database and Nginx server operating environment, and the front-end technology such as HTML5 is used to design a web client interface to meet the functional needs. This implementation method has three advantages: First, it breaks the traditional way of mechanical button matching with touch screens in the textile manufacturing industry; second, it can quickly find out the reason for loom failure; and third, it lifts the regional restrictions, thus improving the intelligence and information level of textile machinery and equipment.Article HighlightsThis monitoring system combines configuration technology with computer technology to realize monitoring in both industrial fields and remote environments. Industrial site workers quickly and directly operate the loom through the on-site touch screen. Enterprise management personnel centrally manage the loom through remote means. Therefore, the system is convenient for different types of users in the enterprise.The industrial field monitoring system has comprehensive functions and friendly interface operation, which realizes the comprehensive monitoring and operating parameter setting of each link of the loom production. It can also meet functional requirements such as fault alarm and debugging and maintenance.The use of the cloud platform and other technologies to achieve remote monitoring of the loom, breaking through the geographical restrictions. It is possible to log in to the remote system anytime and anywhere to monitor the running status and production information of the loom, which also provides convenience for later maintenance and upgrades.

IoT Based Smart Crop Field Monitoring and Automation Irrigation System

Agriculture is critical to the agricultural country's development. In India, farming employs over 70% of the population and accounts for one-third of the country's GDP. Agriculture-related issues are constantly a hindrance to the country's progress. The only existing solution to the current problem is intelligent agriculture, which involves updating current agricultural processes. As a result, the project's goal is to use automation and IoT technology to make agriculture smarter. The concept of smart-e-farming was created to make farming easier. It is powered by electricity. It comes with a variety of sensors for testing soil parameters, including the following: Sensor for measuring temperature. Moisture in the soil, for example. The key benefit is that it has an autonomous operating covering that adjusts to the soil depth and temperature.

Strong Radiation Field Online Detection and Monitoring System with Camera.

Herein, we report the γ-ray ionizing radiation response of a commercial monolithic active-pixel sensor (MAPS) camera under strong-dose-rate irradiation with an online detection and monitoring system for strong radiation conditions. We present the first results of the distribution of three types of MAPS camera and establish a linear relationship between the average response signal and radiation dose rate in the strong-dose-rate range. There is an obvious response signal in the video frames when the camera module parameters are set to automatic, but the linear response is very poor. However, the fixed image parameters are not good at adapting to the changes of the environment and affect the quality of the video frames. A dual module online radiation detection and monitoring probe was made to carry out effective video monitoring and radiation detection at the same time. The measurement results show that the dose rate detection error is less than 5% with a dose rate in the range of 60 to 425 Gy/h, and the visible light image does not have obvious distortion, deformation, or color shift due to the interference of the radiation response event and radiation damage. Hence, the system test results show that it can be used for online detection and monitoring in a strong radiation environment.

Challenges and perspectives for integral bridges in the UK: PLEXUS small-scale experiments

This study focuses on the investigation of the factors that have limited, so far, the development of a consistent design and assessment approach for integral bridges (IBs). This paper presents a review of previous research and current design practices for IBs, followed by an overview of monitoring studies in the laboratory and in the field. As part of the UK Collaboratorium for Research on Infrastructure and Cities–Priming Laboratory EXperiments on Infrastructure and Urban Systems experimental campaign, a small-scale 1 g physical experiment is described. The test aimed to simulate the soil–structure interaction arising from seasonal expansion and contraction of the bridge deck and assess the performance of different monitoring techniques. Pressure cells were used to measure the lateral stresses behind the abutment wall, particle image velocimetry was employed to monitor the soil behaviour behind the abutment and linear variable differential transformers were used to monitor the backfill surface movements. By combining the data from these instruments, a preliminary assessment of the soil–structure interaction behaviour of the idealised integral abutment under seasonal thermal loading has been obtained. These monitoring methods and the associated understanding of IB behaviour gained from the tests provide definitive evidence for the development of monitoring systems for larger-scale physical tests and field monitoring systems for IBs.

Intermittent Magnetic Field Monitoring System Based on Passive RFID Sensor Tags

The monitoring of magnetic fields is extremely important in many industrial environments, e.g., power grids. Despite of its importance, the existing monitoring methods either are large in size, require high power consumptions and manual observation, or although integrated in small wireless devices, need the use of batteries, increasing maintenance costs. This paper proposes an intermittent magnetic field monitoring system based on passive ultra-high frequency (UHF) radio frequency identification (RFID) technology. A magnetic field magnitude sensor has been integrated into a micro-controller unit (MCU) based tag, and the standard RFID communication protocol ISO/IEC 18000-6 Type C has been partially modified to allow faster sensed data transfer, especially for multiple tag situations rarely considered in the open literature. Static or 50 Hz magnetic field sensing accuracy lower than 3% have been experimentally measured with reasonable tag charging times and read distances, making possible for example to monitor magnetic fields on more than 10 locations simultaneously with a 60 s of updating time with a tag read range of 3 m.

Temperature field monitoring of lithium battery pack based on double-clad fiber Bragg grating sensor

Lithium-ion battery is one of the most versatile energy storage technologies today, and the reliability and safety of lithium battery have always been the target pursued by the industry all the time, so it is particularly important to accurately monitor the safety status of the battery. Actually, the ultimate cause of all lithium battery safety problems lies in the thermal runaway inside the lithium battery. In order to overcome the current problems of temperature measurement systems, such as low accuracy and insufficient stability for long-time operation at relatively high temperature, a temperature monitoring system of quasi-distributed lithium battery based on double clad Fiber Bragg Grating (FBG) is proposed in this work. After the monitoring of the temperature field and bulge deformation of 18650 lithium battery pack by building 4 channels and 16 double clad FBG points to monitor the temperature field and bulge deformation of 18650 lithium battery pack, the results show that the points with abnormal temperature rise caused by short circuit and other problems can be accurately determined under the temperature of 0–450 ℃, with the corresponding temperature sensitivity of 10 pm/℃, and the resolution of 0.1 ℃. The double clad FBG attached to the surface of the lithium battery shell can also monitor the bulge deformation on the surface of the battery shell, and its longitudinal pressure modification sensitivity is up to 142 pm/N. The temperature field monitoring system of quasi-distributed lithium battery pack based on double clad FBG in this paper can not only ensure high-precision temperature and deformation measurement, but also have good stability and anti-interference ability, which shows that the research work in this paper is expected to provide a reliable theoretical and experimental basis for the safety monitoring and use of lithium battery pack.

Integration of an RF coil and commercial field camera for ultrahigh-field MRI.

To develop an RF coil with an integrated commercial field camera for ultrahigh field (7T) neuroimaging. The RF coil would operate within a head-only gradient coil and be subject to the corresponding design constraints. The RF coil can thereafter be used for subject-specific correction of k-space trajectories-notably in gradient-sensitive sequences such as single-shot spiral imaging. The transmit and receive performance was evaluated before and after the integration of field probes, whereas field probes were evaluated when in an optimal configuration external to the coil and after their integration. Diffusion-weighted EPI and single-shot spiral acquisitions were employed to evaluate the efficacy of correcting higher order field perturbations and the consequent effect on image quality. Field probes had a negligible effect on RF-coil performance, including the transmit efficiency, transmit uniformity, and mean SNR over the brain. Modest reductions in field-probe signal lifetimes were observed, caused primarily by nonidealities in the gradient and shim fields of the head-only gradient coil at the probe positions. The field-monitoring system could correct up to second-order field perturbations in single-shot spiral imaging. The integrated RF coil and field camera was capable of concurrent-field monitoring within a 7T head-only scanner and facilitated the subsequent correction of k-space trajectories during spiral imaging.

Internet of things‐based deeply proficient monitoring and protection system for crop field

AbstractThe production rate of crops is significantly declining due to natural disasters, animal interventions and plant diseases. Internet of things (IoT) and wireless sensor networks are widely applied in crop field monitoring systems to observe the quality of each plant and the field. This work proposes IoT based crop field protection system (ICFPS) that monitors and protects the crop fields from animal intrusions. This proposed system uses ultrasonic sensors, hyperspectral cameras, voice recorded buzzers and other agriculture sensors to protect the entire crop field. This system uses numerous sensor nodes and cameras for gathering field objects (images and environmental objects). The proposed ICFPS creates deep learning techniques such as recurrent convolutional neural networks (RCNN) and recurrent generative adversarial neural networks (RGAN) for feature extraction, disease detection and field data monitoring practices. This proposed work develops a smart city‐based agriculture system using cognitive learning approaches. This proposed system analyses crop field data and provide automatic alerts regarding animal interferences and crop diseases. Moreover, the cognitive smart crop field system observes various field conditions which support for good production rate. In this system, sensors and camera‐enabled agriculture drones are coordinated with each other to collect the field data regularly. At the same time, the proposed work trains the RCNN and RGAN units using effective crop field datasets to attain realistic decisions within minimal time intervals. The experiment details and results show the proposed ICFPS works with 8%–10% of more classification accuracy than existing systems.

IOT BASED SOIL MONITORING AND AUTOMATIC IRRIGATION SYSTEM IN THE RURAL AREA OF BANGLADESH

To serve the humanity nowadays technology is playing a wonderful role and a man’s basic and primary need is food indeed. It can be said that about more than 85% of people of Bangladesh are directly, indirectly depended on agriculture. Proper irrigation by water pump cannot be maintained due to frequent power outages, unavailability of grid lines in remote areas and scarcity/cost of fuel to run pumps. To make the sustainable irrigation system and field monitoring system for getting better crops growth as well as best production, this IOT based Automatic irrigation system is proposed. In this system IOT and WSN are used to control and monitor the irrigation system. IOT is used to obtain stored data monitoring and real time monitoring of various contents of soil. WSN is used to make a fully wireless system to make a user-friendly system to cultivate and irrigate water properly to the field. Different kinds of sensors are used. This report presents a fully automated drip irrigation system which is controlled and monitored by using “Thinkspeak Cloud Server”. Temperature and the humidity content of the soil are frequently monitored. The system informs user about any abnormal conditions like less moisture content and temperature rise, even concentration of water by sending notifications through the wireless module.

Soil salinity management using a Field Monitoring System (FMS) in tsunami-affected farmlands in Miyagi, Japan

Soil salinity management using a Field Monitoring System (FMS) in tsunami-affected farmlands in Miyagi, Japan

Monte Carlo modeling of scintillation detectors for continuous underground radon monitoring

Nuclear simulation methods were applied to two systems that investigate radon transport within geological porous media: a) a laboratory system built to test, under controlled climate conditions, the effect of temperature on radon transport, and b) a field monitoring system comprising gamma and alpha detectors in an abandoned water well. The use of Monte Carlo simulations of NaI and BGO scintillation detectors in continuous underground radon measurements by gamma counting, to estimate the photon flux in the detector volume, is presented.The advantages of shielding side-view NaI detectors were demonstrated for a laboratory system containing ground phosphate rock, including avoiding high counting rates and reducing the effective source volume in radon transport studies. The gross gamma counting procedure was shown to result in a lower uncertainty than spectrometric measurement, by at least a factor of two, despite it being a simpler and more suitable procedure for field measurements.The calculation of simulated source volumes for a BGO detector in a borehole and the measurements in the field support the assumption that the gamma signal comes primarily from radon flowing in the bedrock's air-filled pores. As a practical outcome of this study, positioning the detector a few cm off-center from the borehole's axis increased the gamma counting efficiency; however, measurements in groundwater taken too close to the iron casing had a lower detection efficiency.The conversion factor from the scintillator signal to the radon activity concentration, for the laboratory system, was calculated. Monte Carlo simulations demonstrated the advantages of the gross counting procedures using gamma scintillation detectors in field underground high-frequency radon monitoring.

G6PD deficiency among malaria-infected national groups at the western part of Myanmar with implications for primaquine use in malaria elimination

BackgroundGlucose 6-phosphate dehydrogenase deficiency (G6PDd) plays a central role in readiness assessment for malaria elimination in Myanmar by 2030 that includes primaquine (PQ) use. The risk of hemolysis in G6PDd individuals hampers the widespread use of primaquine safely in malaria-infected patients. In the pre-elimination era, it is important to screen initially for asymptomatic malaria in combination with G6PD deficiency by applying more sensitive diagnostic tools. Therefore, this study examined the proportion of G6PDd and the distribution of G6PD genotypes among malaria-infected national groups in Myanmar before initiation of malaria elimination strategies.MethodsA cross-sectional study in one township each with high malaria burden from two states in the western part of Myanmar, was conducted during 2016-2018, and 320 participants (164 Rakhine and 156 Chin National groups) were recruited. We used RDT and ultrasensitive polymerase chain reaction (us PCR) method to confirm malaria infection, and a G6PD RDT(CareStart) to detect G6PDd and PCR/restriction fragment length polymorphism (RFLP) method to confirm the variant of G6PDd for genotyping. G6PD enzyme activity was measured by G6PD Biosensor (CareStart).ResultsMalaria positivity rates detected by RDT were lower than those detected by us PCR in the combined samples [13% (42/320) vs. 21% (67/320)] as well as in the Rakhine samples [17% (28/164) vs. 25% (41/164)] and in Chin samples [9% (14/156) vs. 17% (26/156)]. G6PD deficiency rates were approximately 10% in both the combined samples and specific national groups. For G6PD enzyme activity in the combined samples, G6PDd (defined as < 30% of adjusted male median) was 10% (31/320) and severe G6PDd (< 10% of AMM) was 3% (9/320). Among malaria-infected patients with positive by both RDT and usPCR, G6PDd was less than 20% in each national group. G6PD genotyping showed that the G6PD Mahidol (G487A) was the major variant.ConclusionsThe varying degree of G6PDd detected among malaria-infected national groups by advanced diagnostic tools, strongly support the recommend G6PD testing by the National Malaria Control Program and the subsequent safe treatment of P. vivax by primaquine for radical cure. Establishing a field monitoring system to achieve timely malaria elimination is mandatory to observe the safety of patients after PQ treatment.

Transfer station cracks induced by cutting anchor cables and crack stabilization: A case study

This study reports an investigation on transfer station cracking induced by cutting anchor cables at North Yuehu Park station in Changsha city through both field monitoring and numerical simulation. The incident was triggered by cutting part of the original anchor cables while excavating a deep groove for an entrance diaphragm wall. When part of these support structures were removed, the stress condition of the station changed significantly, which eventually resulted in a large area of cracks. Crack repair and foundation pit bottom grouting were applied to prevent further cracking and resume the stability of the station, which achieved the desired result. The mechanisms of station cracking and the effectiveness of stabilization are investigated through both numerical simulation and field monitoring data analysis. In addition, an optimization scheme for station design is proposed and verified through numerical analysis. The lesson to be learned is that cutting the original anchor cables and structures of a sharp corner should be avoided during station construction. A reinforcement and field monitoring system should be implemented in advance to guarantee the safety of the station if cutting the original anchor cables is unavoidable.

Quality Assurance of IoT based Systems using Analytic Hierarchy Process

The Internet of Things (IoT) has attracted wide attention in various industrial and customer applications. In 2021 there will be approximately 50 billion devices connected to IoT across the globe. With the increasing globe, the question arises to focus on quality assurance of the IoT applications. The performance of the IoT-based systems is the directly dependent quality of hardware and software. Quality assurance (SQA) is a crucial factor for maintaining the quality of service of IoT-based applications. The existing quality models mainly focus on the software aspects of the applications. This paper presents an Analytic Hierarchy Process (AHP) for the quality evaluation of IoT applications which comprises software as well as hardware. An agriculture field monitoring system application based on Wireless Sensor Network (WSN) and IOT is considered to evaluate the proposed quality model. We present simple Fuzzy logic algorithm for the agriculture field monitoring. The performance of the proposed quality model is evaluated against various quality attributes such as functional suitability, compatibility, maintainability, usability, performance efficiency, security, reliability, and portability. The proposed SQA approach gives a consistency index and overall quality measure of 0.061 and 0.7564 respectively. It has shown significant improvement over the previous state of arts such as Grey and IA-QM SQA approaches.