Reliable Real-time Information Research Articles

Comparative analysis of online voltage stability indices based on synchronized PMU measurements

The need for reliable real-time information on voltage stability margins of electrical power systems is an increasingly relevant concern within the current trend of electrification and deployment of power electronics-based devices. This paper conducts the assessment and comparison of four Voltage Stability Indices (VSIs) proposed for this application and based exclusively on synchronized phasor measurements. The robustness and accuracy of each method in identifying the point of maximum power transfer are evaluated as the correlation between load characteristics and consistent estimation of voltage stability margins is explored. In addition, the likelihood inherent to each VSI formulation of triggering false alarms under certain system dynamics is addressed in detail. The comparative analyses are derived from dynamic simulation data of a 3-bus test system, the IEEE 9-bus network and the IEEE 39-bus network, all modelled in the open-source Python-based power system simulator DynPSSimPy. Case studies cover placement of monitoring device, different load types, line disconnection events and presence of measurement noise. The results presented serve as a reference point for the development and/or enhancement of VSIs suitable for real-time applications, highlighting their most significant advantages and drawbacks and providing insights on potential trade-offs that need to be considered when employing such approaches within control center settings.

NeuroGPT-X: toward a clinic-ready large language model.

The objective was to assess the performance of a context-enriched large language model (LLM) compared with international neurosurgical experts on questions related to the management of vestibular schwannoma. Furthermore, another objective was to develop a chat-based platform incorporating in-text citations, references, and memory to enable accurate, relevant, and reliable information in real time. The analysis involved 1) creating a data set through web scraping, 2) developing a chat-based platform called neuroGPT-X, 3) enlisting 8 expert neurosurgeons across international centers to independently create questions (n = 1) and to answer (n = 4) and evaluate responses (n = 3) while blinded, and 4) analyzing the evaluation results on the management of vestibular schwannoma. In the blinded phase, all answers were assessed for accuracy, coherence, relevance, thoroughness, speed, and overall rating. All experts were unblinded and provided their thoughts on the utility and limitations of the tool. In the unblinded phase, all neurosurgeons provided answers to a Likert scale survey and long-answer questions regarding the clinical utility, likelihood of use, and limitations of the tool. The tool was then evaluated on the basis of a set of 103 consensus statements on vestibular schwannoma care from the 8th Quadrennial International Conference on Vestibular Schwannoma. Responses from the naive and context-enriched Generative Pretrained Transformer (GPT) models were consistently rated not significantly different in terms of accuracy, coherence, relevance, thoroughness, and overall performance, and they were often rated significantly higher than expert responses. Both the naive and content-enriched GPT models provided faster responses to the standardized question set than expert neurosurgeon respondents (p < 0.01). The context-enriched GPT model agreed with 98 of the 103 (95%) consensus statements. Of interest, all expert surgeons expressed concerns about the reliability of GPT in accurately addressing the nuances and controversies surrounding the management of vestibular schwannoma. Furthermore, the authors developed neuroGPT-X, a chat-based platform designed to provide point-of-care clinical support and mitigate the limitations of human memory. neuroGPT-X incorporates features such as in-text citations and references to enable accurate, relevant, and reliable information in real time. The present study, with its subspecialist-level performance in generating written responses to complex neurosurgical problems for which evidence-based consensus for management is lacking, suggests that context-enriched LLMs show promise as a point-of-care medical resource. The authors anticipate that this work will be a springboard for expansion into more medical specialties, incorporating evidence-based clinical information and developing expert-level dialogue surrounding LLMs in healthcare.

Innovative ore-thermal furnace control systems

The relevance of this topic can be justified with poor automation of the ore-thermal furnace process &mdash; in particular, the one involved in the production of metallurgical silicon. The majority of process control systems enable centralized acquisition of available data. Such approach can cause certain issues as some data can arrive with a big delay or can be irrelevant to the reaction zone but rather serve to monitor separate components of the furnace. The lack of reliable real-time information forces operators to make decisions based on their experience, which often leads to inefficient operation introducing the risk of human error and, consequently, that of emergency. Such operation often leads to overconsumption of electric power, high consumption of graphite electrodes and can cause dust discharge. Control of the basic furnace parameters based on indirect parameters and the use of process model-based controllers offer innovative areas in the development of ore-thermal furnace process control systems. Improving the obser vability of the object of control remains a relevant problem. It can normally be achieved by implementing new controlled parameters in a monitoring or control system. This paper describes the most innovative control systems that enable to monitor the process parameters and control the power mode of an ore-thermal furnace. The paper reviews two articles, eleven patents and five computer programmes that have the biggest potential of industrial implementation.This research was funded through Governmental Research Grant no. FSRW-2020-0014 for 2021 and Russian Science Foundation, Grant № 22-29-003.

Data-driven statistical analysis for discharge position prediction on Wire EDM

Wire-cut Electrical Discharge Machining (Wire EDM) is a machining technique widely used to cut high-precision punch tools and highly value added precision components. With increasing resource efficiency requirements and zero-defect manufacturing trend, pushing the limits of machining reliability, even at cutting speed next to the technical limits, is becoming imperative. Predicting the position of the sparks along the wire is thus needed to develop more efficient EDM processes, thanks to the suppression of discharges which are expected to happen in undesired positions. This will lead to a reduction of the number of machine stops caused by wire breaks. Motivated by this need, the paper presents a data-driven statistical analysis to get insight into the correlation between the discharge positions of two consecutive sparks, along with the relation between spark positions and discharge frequency. The underlying basis for this analysis was the possibility to obtain reliable real-time information about the position of sparks along the wire, a feature made available by a Discharge Location Tracker [4]. Results on spark position correlation are presented for cutting experiments on a steel workpiece of 50 mm in plane parallel with different machining parameters using brass wire of diameter 0.25 mm.

Optimization of Water Microbial Concentration Monitoring System Based on Internet of Things

The Internet of Things is an emerging information industry. Applying the information collection, transmission, and processing technologies in the Internet of Things technology to environmental monitoring, environmental emergency, and other environmental protection supervision fields will greatly improve the speed and accuracy of environmental supervision and facilitate the scientific development of environmental protection. Through the Internet of Things, people can obtain a large amount of reliable real-time information, and it is not easy to be affected by time, place, and environment, while the wireless sensor network has the advantages of easy installation and low cost, so environmental monitoring through the Internet of Things is the future development trend. In this paper, in view of the current situation of water scarcity and serious water pollution in China, combined with the development trend and advantages of the Internet of Things (IoT), and based on the inadequacy of the existing microbial sensor data collection equipment, we propose a design scheme of microbial concentration monitoring system for waters based on IoT. The system is based on Zig Bee wireless sensor network to build a common data acquisition platform and design special hardware to carry out high-precision microbial sensor data acquisition in water and through the PC to complete the real-time measurement data storage, waveform display, and data processing. In this paper, the schematic diagram and PCB board design of the system hardware module NUC120 main control board, CC2530 RF board, Wi-Fi wireless communication module, and high-precision ADC acquisition module are completed and fabricated. Then, the four modules are combined to realize the development of the data aggregation node and data acquisition node of the dedicated Zig Bee wireless network hardware device.

Organisational communications in the enterprise management system

In the context of dynamically developing market relations, a modern industrial enterprise should take into account economic, technical and political factors that affect its activities in close connection with the external environment. The problem of improving the efficiency of resource use by enterprises is inextricably linked to the use of timely, detailed, transparent and reliable information in real time. In this regard, communication of the enterprise becomes one of the most important elements of activity and significantly affects the competitiveness. The article analyses the key tasks of organisational communications. According to the results of the analysis, the main problems of communication in enterprises are identified and recommendations for optimising the management of the system of organisational communications are proposed.

NOAA’s Physical Oceanographic Real-Time System (PORTS®)

ABSTRACTThe National Oceanic and Atmospheric Administration’s (NOAA) Physical Oceanographic Real-Time System (PORTS®) is an integrated system of sensors concentrated in seaports that provide accurate and reliable real-time information about environmental conditions. PORTS measures and disseminates observations for water levels, currents, waves, bridge air gap, water temperature, salinity, and meteorological parameters. PORTS was developed and implemented in the early 1990s in response to an accident in Tampa Bay where a vessel struck the Sunshine Skyway Bridge resulting in a substantial loss of life and property. The programme was established as a public-private partnership where the local community funds the establishment and maintenance of the local observing system, and NOAA provides the programme and data management. Today, PORTS has grown to over 30 locations around the country and services over 80% of the tonnage and over 90% of the value of cargo transiting U.S. seaports. A number of economic benefit studies have shown PORTS can reduce accidents by over 50% and significantly increase efficiency. This article examines the evolution of the programme in terms of addressing emerging observational needs, infusing new technology, enhancing products, conducting economic benefit studies, adapting business models, and serving other societal needs.

Transmission Line Outage Detection and Identification by Communal Spider Optimization Algorithm

The load on the power system network is proliferating along with massive inter-area transfers. Hence it is substantial to have reliable real-time information about the network parameters of the electric power system. To monitor real-time operational reliability, the network model of the system has to be updated continuously in a timely manner to reflect current system conditions. For this continuous data updating, the Phasor Measurement Units (PMUs) are deployed. PMUs measure the phase at very high speed at different locations by different devices and synchronize them with time. In manipulating the arithmetical possessions of voltage phase angle capacities attained from PMUs, this method is formulated. The proposed method detects and identifies the line outages in near real-time. In this method, outage in an unknown line is detected by using Communal Spider Algorithm (CSA) and is verified on Indian utility- 62 bus test system. Using CSA, the system performance of the power network model is optimized and the line outage is reduced.

Real-time process monitoring in a semi-continuous fluid-bed dryer – microwave resonance technology versus near-infrared spectroscopy

The trend towards continuous manufacturing in the pharmaceutical industry is associated with an increasing demand for advanced control strategies. It is a mandatory requirement to obtain reliable real-time information on critical quality attributes (CQA) during every process step as the decision on diversion of material needs to be performed fast and automatically. Where possible, production equipment should provide redundant systems for in-process control (IPC) measurements to ensure continuous process monitoring even if one of the systems is not available. In this paper, two methods for real-time monitoring of granule moisture in a semi-continuous fluid-bed drying unit are compared. While near-infrared (NIR) spectroscopy has already proven to be a suitable process analytical technology (PAT) tool for moisture measurements in fluid-bed applications, microwave resonance technology (MRT) showed difficulties to monitor moistures above 8% until recently. The results indicate, that the newly developed MRT sensor operating at four resonances is capable to compete with NIR spectroscopy. While NIR spectra were preprocessed by mean centering and first derivative before application of partial least squares (PLS) regression to build predictive models (RMSEP = 0.20%), microwave moisture values of two resonances sufficed to build a statistically close multiple linear regression (MLR) model (RMSEP = 0.07%) for moisture prediction. Thereby, it could be verified that moisture monitoring by MRT sensor systems could be a valuable alternative to NIR spectroscopy or could be used as a redundant system providing great ease of application.

Application of wireless power system automation for electrical distribution system of Van, Turkey

Reliable real-time information has become an important factor for safe delivery of power to the end-users and productivity of the electric utility and customer pleasure. Communication networks constitute the core of electrical system control applications in industry. The commercial and operational demands of electric utilities need a high-performance data communication network that improves the electrical system performance and provides possibility of a detailed study to predict failures. Supervisory Control and Data Acquisition (SCADA) systems are widely used in industry for supervisory control and data acquisition of industrial processes. Users working in various departments in an electric power company require access to SCADA data. Therefore, a design of cost-effective and reliable network architecture is a very important issue. Each network component has a specific address and the maximum amount of components is restricted for the communication channel and protocol. In this paper, a power control application is studied by using wireless technology, and a SCADA system along with the MODBUS protocol which is one of the most common communication protocols used in industrial environments. The application is carried out in a power distribution center found at the electrical distribution system located in Van, Turkey.

Sources of natural background radiation

&lt;i&gt;After the major accidents in “Chernobyl” NPP, located on the territory of present-day Ukraine, and then in the USSR in April 1986, in Bulgaria, as well as in most European countries a lack of systems for a continuous measurement of gamma radiation was reported, which have to provide reliable real-time information on radiation status. Consequently, in the European Union, construction of automated systems for continuous monitoring of gamma radiation has begun. Observations on the state of the radiation background in Bulgaria are carried out in parallel in two ways. A serious problem can cause people to cross a state border in random unregulated places and not at a checkpoint.&lt;/i&gt;

Experiences of using UAVs for monitoring levee breaches

During floods technical protection facilities are subjected to high loads and might fail as several examples have shown in the past. During the major 2002 and 2013 floods in the catchment area of the Elbe River (Germany), some breaching levees caused large inundations in the hinterland. In such situations the emergency forces need comprehensive and reliable realtime information about the situation, especially the breach enlargement and discharge, the spatial and temporal development of the inundation and the damages. After an impressive progress meanwhile unmanned aerial vehicles (UAV) also called remotely piloted aircraft systems (RPAS) are highly capable to collect and transmit precise information from not accessible areas to the task force very quickly. Using the example of the Breitenhagen levee failure near the Saale-Elbe junction in Germany in June 2013 the processing steps will be explained that are needed to come from the visual UAV-flight information to a hydronumeric model. Modelling of the breach was implemented using photogrammetric ranging methods, such as structure from motion and dense image matching. These methods utilize conventional digital multiple view images or videos recorded by either a moving aerial platform or terrestrial photography and allow the construction of 3D point clouds, digital surface models and orthophotos. At Breitenhagen, a UAV recorded the beginning of the levee failure. Due to the dynamic character of the breach and the moving areal platform, 4 different surface models show valid data with extrapolated breach widths of 9 to 40 meters. By means of these calculations the flow rate through the breach has been determined. In addition the procedure has been tested in a physical model, whose results will be presented too.

Non-contact assessment of COD and turbidity concentrations in water using diffuse reflectance UV-Vis spectroscopy.

Water contamination is an important environmental concern underlining the need for reliable real-time information on contaminant concentrations in natural waters. Here, a new non-contact UV-Vis spectroscopic approach for monitoring contaminants in water, and especially wastewater, is proposed. Diffuse reflectance UV-Vis spectroscopy was applied to measure simultaneously the chemical oxygen demand (COD) and turbidity (TUR) concentrations in water. The measurements were carried out in the wavelength range from 200-1100 nm. The measured spectra were analysed using partial-least-squares (PLS) regression. The correlation coefficient between the measured and the reference concentrations of COD and TUR in the water samples were R(2) = 0.85 and 0.96, respectively. These results highlight the potential of non-contact UV-Vis spectroscopy for the assessment of water contamination. A system built on the concept would be able to monitor wastewater pollution continuously, without the need for laborious sample collection and subsequent laboratory analysis. Furthermore, since no parts of the system are in contact with the wastewater stream the need for maintenance is minimised.

Improving Communication in Level 1 Trauma Centers: Replacing Pagers with Smartphones

Communication among healthcare providers continues to change, and 90% of healthcare providers are now carrying cellular phones. Compared with pagers, the rate and amount of information immediately available via cellular phones are far superior. Wireless devices such as smartphones are ideal in acute trauma settings as they can transfer patient information quickly in a coordinate manner to all the team members responsible for patient care. A questionnaire survey was distributed among all the trauma surgeons, surgery residents, and nurse practitioners who were a part of the trauma surgery team at a Level 1 trauma center. Answers to each question were recorded on a 5-point Likert scale. The completed survey questionnaires were analyzed using Statistical Package for Social Sciences software (SPSS version 17; SPSS, Inc., Chicago, IL). The respondents had an overall positive experience with the usage of the third-generation (3G) smartphones, with 94% of respondents in favor of having wireless means of communication at a Level 1 trauma center. Of respondents, 78% found the device very user friendly, 98% stated that use of smartphones had improved the speed and quality of communication, 96% indicated that 3G smartphones were a useful teaching tool, 90% of the individuals felt there was improvement in the physician's response time to both routine and critical patients, and 88% of respondents were aware of the rules and regulations of the Health Insurance Portability and Accountability Act. Smartphones in an acute trauma setting are easy to use and improve the means of communication among the team members by providing accurate and reliable information in real time. Smartphones are effective in patient follow-up and as a teaching tool. Strict rules need to be used to govern the use of smartphones to secure the safety and secrecy of patient information.

Control of long-term perfusion Chinese hamster ovary cell culture by glucose auxostat.

The strategies for control of the feed rate in high-density perfusion cultures of animal cells are limited to several simple schemes. While in an industrial environment simplicity is seen as a major advantage, the need for more elaborate closed-loop control methods that can improve process stability in long-term continuous cultures is also well understood. What has prevented the application of the advanced control strategies known from theory is the lack of reliable real-time information that can be used to close the feedback loop. Among the variables that are appropriate for direct feedback control of the perfusion rate, high priority should be given to the glucose concentration. Unlike some other environmental variables, such as dissolved oxygen and pH, it provides unambiguous information which facilitates the selection of the right feed rate. The present paper describes the application of a closed loop control scheme, known as a "glucose-stat", to the long-term cultivation of Chinese hamster ovary cells in a high-density (35-40 million cells/mL) perfusion process. The monitoring and control system worked successfully for more than 2.5 months without any signs of performance degradation. In targeting industrial application, issues such as reliability, sterility, and accuracy, are given high priority. The implementation of the glucose monitoring system, which is the main part of the control complex, is addressed in details. The performance of the perfusion culture was evaluated at four different glucose set points, providing essential information about process optimization. It became evident that the perfusion culture was operated in the so-called "high-gain" zone (where the system is highly sensitive to the dilution rate), which justifies the application of a feedback control. The on-line glucose concentration was also used by an embedded expert system which drove the process through the batch and the perfusion phase, achieving total computer control of the feed rate. In summary, the proposed glucose monitoring and control technique proved to be a reliable biotechnology tool which can be applied with confidence at an industrial scale to either microbial or mammalian cell cultures.