Control Room Research Articles

A fast compilation of the VONA messages using a computer-assisted procedure

Mt. Etna, in Italy, is one of the most active volcanoes in the world, producing several explosive events in recent years. Those eruptions form high eruption columns that often reach the top of the troposphere (and sometimes even the lower part of the stratosphere) and create several disruptions to air traffic, mainly to the Fontanarossa International Airport in Catania, which is about 20 NM (~ 37 km; NM = Nautical Miles) away from the summit craters and is located in the main wind direction. In Italy, the institution responsible for volcano monitoring is the Istituto Nazionale di Geofisica e Vulcanologia (INGV). In 2007, the INGV, Osservatorio Etneo (INGV-OE) in Catania was appointed as “State Volcano Observatory” (SVO) and, in 2014, sent the first Volcano Observatory Notice for Aviation (VONA) message. Since that moment, several VONA messages have been sent, mainly due to the high frequency of Etna activity. In order to facilitate and speed in the generation and the dispatch of the VONA messages, a computer-assisted procedure has been designed and built to help the work done by the volcanologist on duty and by the two shift workers of the 24/7 Control Room of INGV-OE. Consequently, information on the explosive activity can be quickly provided to the Volcanic Ash Advisory Center (VAAC) in Toulouse and national air traffic offices, reducing risks to aviation operations. In this work, we describe how the computer-assisted procedure works, addressing the main advantages and possible improvements. We retain that a similar approach could be easily applied to other volcano observatories worldwide.

Abstract P299: Alteration of Cardiac Autonomic Function Through Inhalation of Biogenic Volatile Organic Compounds

Background: There is an inverse relationship between exposure to greenspaces and prevalence of cardiovascular disease and cardiovascular disease risk factors. More specifically, green exposure is associated with electrocardiogram (ECG) changes, suggesting a potential alteration of cardiac autonomic balance. One proposed mechanism by which cardiac autonomic balance may be altered is a direct physiologic effect of inhalable plant derived compounds, or biogenic volatile organic compounds (bVOCs), including limonene, α- and β-pinene which are commonly released from vegetation. Therefore, we examined the relationship between acute exposure of isolated bVOCs and cardiac autonomic tone. Hypothesis: We hypothesize that controlled exposure to isolated individual bVOCs will decrease cardiac sympathetic tone. Methods: Under controlled conditions after a bVOC washout period, healthy adults ages 18-70 were exposed to limonene (n=32), α-pinene (n=24), β-pinene (n=17), and a control (room air, n=9). Exposure consisted of one inhalation every 30 seconds for a total of 5 minutes (10 inhalations total). Pre- and post-exposure measurements of supine heart rate variability (HRV) were conducted following a 10-minute rest period. HRV was analyzed using a clean, 5-minute epoch with >95% effective data length. Statistical analysis was performed using paired t-tests to determine changes in HR and HRV. Significance level was set at p<0.05, a priori . Results: Our population was primarily female (56%, 18 of 32), white (53%, 17 of 32), high income (47%, 15 of 32), and had an education higher than a 4-year degree (62.5%, 20 of 32). There were significant decreases in HR when exposed to limonene (pre: 64.87±9.86bpm vs. post: 63.26±9.10bpm, p<.001) and α-pinene (pre: 63.98±9.32bpm vs. post: 61.64±9.72bpm, p=.008), along with trends seen in β-pinene (pre: 65.78±10.60bpm vs. post: 63.74±9.65bpm, p=.066). Control exposure showed no difference (pre: 65.40±8.38bpm vs. post: 64.14±9.35bpm, p=.301). Normalized low- (LF) and high-frequency (HF) HRV parameters showed no change across isolated bVOCs, however the LF/HF ratio scores decreased significantly following β-pinene exposure (pre: 1.62±1.69 vs. post: 0.96±0.96, p=.039). HRV time-domain parameters RMSSD and SDNN did not change following isolate exposure. Conclusions: Post-exposure decreases in HR and LFHF ratios indicate the potential for cardiovascular disease risk reduction from bVOC exposure leading to decreased sympathetic tone. Additional work is required to determine the mechanism of exposure-related changes.

The Role of Geomatics In Combating Crime and Terrorism Iraq : An Applied Study

Today, geographic technologies are considered one of the most important decision support systems in the world, as they are indispensable in the areas of development and economic development. It has been applied at the security level and the preservation of societal peace through its support for command and control rooms in various security sectors, and assistance in identifying areas of crime dens and spatially distributing criminal phenomena. This study aims to answer the following questions: 1- What is meant by geomatics technology? What characteristics do you have?. 2- How is this technology employed in the field of crime and combating terrorism, Iraq as an applied model?. 3- What is the best way to build a database and spatial information that the security services can benefit from? It was found through the study that geomatics technology has a high potential in the field of combating crime and terrorism, which is done by building digital models and spatial databases for the security aspect through which it is possible to follow up hotspots of crime concentration, and to identify the characteristics of criminals according to the different type of crimes committed, as well as The ability to refer to and update data according to close schedules whenever needed

Seeing like police: Surveillant practices and scopic skills in Recife, Brazil

AbstractDrawing on public–private circuits for urban surveillance in Recife, Brazil, this article unpacks how camera operators and ordinary residents are sensorially attuned to what constitutes a threat to urban order, from the perspective of state security governance. Through the notion of sensory enskilment, the piece delves into how surveillant civilians learn to distinguish such threats in digitally mediated urban sightings. By attending to the development of scopic skills in everyday surveillance contexts, I shed light on how security events become visible and legible across communities of practice, contributing to the formation of policing subjectivities and the maintenance of broader regimes of vigilance. The analysis draws on qualitative research on two sets of sites that cultivate civilians' visual skills around urban security: video‐surveillance control rooms managed by the security secretariats of Recife and Pernambuco, and WhatsApp groups dedicated to the policing of specific territories. This article seeks to deepen recent debates on how vertical and lateral forms of surveillance shape political communities and sociospatial divides.

Methodology to Assist in Training Maneuvers of Operation of Pumps of a Nuclear Plant Using Virtual Reality

In power plants, one of the important maneuvers is the switching of pumps, where incorrect execution can even cause the unit to shut down. Therefore, the objective of this paper is to create a virtual environment for training the critical maneuver of the pump switching operation. The method used as reference was the specific procedure for the actual execution of the pump switching maneuver. Then the procedure was interpreted in order to reproduce in the virtual environment the same behaviors as in the real environment. Subsequently, visits to the field, control room, and control room simulator were undertaken in order to obtain material and data for the assembly of the virtual environment. Finally, with all the information collected, a virtual environment was created. The result was the creation of a system and equipment of interest for switching pumps interactively in the virtual environment, with great fidelity to the real environment. Tests were done by nuclear power plant operators and instructors on this virtual environment. The test results of this group demonstrated that the virtual environment created is a good tool to significantly assist in this type of training, as it promotes the experience of imposed challenges, which are common to several other systems of a nuclear power plant. In this way, the choice of a system to be reproduced in a virtual environment that represents the challenge of training critical maneuvers that affect the reactor was fundamental.

Simulation–optimization configurations for real-time decision-making in fugitive interception

Simulation–optimization models are well-suited for real-time decision-support to the control room for search and interception of fugitives by Police on a road network, due to their ability to encode complex behavior while still optimizing the interception.The typical simulation–optimization configuration is simulation model optimization, where the simulation model describes the system to be optimized, and the optimizer attempts to find the combination of decision variables that maximizes the interception probability. However, the repeated evaluation of the simulation model leads to high computation time, thus rendering it inadequate for time-constrained decision contexts. To support police interception operations in real-time, timely calculation of the solution is essential. Sequential simulation–optimization, where the simulation model, with its rich behavior, constructs (part of) the constraints of an optimization problem, could decrease the computation time.We compare the computation time for two configurations of simulation–optimization (typical simulation model optimization and sequential simulation–optimization) for various problem instances of the fugitive interception problem. We show that sequential simulation–optimization reduces the computation time of large instances of the fugitive interception case study ten-fold. This result illustrates the potential of sequential simulation–optimization to mitigate the expensive optimization of simulation models.

Emergency medical dispatchers’ experiences of using the Medical Priority Dispatch System telephone triage to identify maternity emergencies: a qualitative focus group study

ObjectivesThe ambulance service plays a pivotal role in the provision of care in out-of-hospital maternity emergencies. Telephone triage of this patient group is complex and must be sensitive to an...

Virtual acoustics in distributed performance over a closed audio network

We explore an application of active acoustics used to produce a shared virtual environment for live musical performance. As part of a concert given in the Immersive Media Lab at McGill University, musicians and audience members were located in adjacent but acoustically isolated spaces on the same digital audio network. With computer generated effects and live instruments, the concert consisted of electroacoustic performances that utilized dynamic virtual environments produced by our Virtual Acoustic Technology (VAT) system as an improvisatory partner and a mixing device to blend the diffusion of electronic and acoustic musical sources. The performance, including its evolving virtual environment, was captured using spatial microphone techniques and distributed in real-time to the audience over an immersive loudspeaker system in an adjacent control room. Audience members were given the opportunity to visit the musicians’ performance space in order to compare the reproduction to the original environment. Overall, the blending of computer-generated and acoustic sources created a specific use case for virtual acoustics, while the immersive capture and distribution method examined an avenue for producing a real-time shared experience. Future work in this area includes audio networks with multiple virtual acoustic environments and distributions.

Saving ambulance resources: a service evaluation of the identification of non-viable out-of-hospital cardiac arrest in London by advanced paramedic practitioners in critical care.

Advanced paramedic practitioners in critical care (APPCCs) are advanced clinical practitioners focused on the delivery of pre-hospital critical care. While working in an ambulance control room setting, APPCCs seek to identify emergency calls appropriate for operational APPCCs to attend. These would include out-of-hospital cardiac arrest (OHCA). Through interrogation of incoming emergency calls they are also able to identify OHCA calls where resuscitation may be futile. In these cases, and within a governance framework, they stand down multiple ambulance responders, leaving only the closest responding resource to attend, thereby 'saving resources' that can be re-directed to other waiting emergency calls. It is believed that this is the first initiative of this nature in the United Kingdom. A three-year retrospective service evaluation of data was undertaken. The aim was to quantify the number of 'saved resources', including both double crewed ambulances (DCAs) and solo (single-person) responders, and furthermore to equate those savings into potential hours saved, using average known job cycle times (JCTs). Additionally, safety was assessed by searching all mandated incident reports for occasions where, despite cancellation of resources by an APPCC, resuscitation was commenced by the first response to scene. A total of 13,356 ambulance resources were saved. Of these, 6593 (49.4%) were DCAs and 6763 (50.6%) were solo responders. Using the average JCT for deceased patients of 104.8 minutes, the total time saving equated to 23,328.48 hours of work or 1944.04 12-hour shifts. When considering DCAs alone, the average JCT for obviously deceased patients was 110.9 minutes. This equates to 12,186.1 hours of work or 1015.5 12-hour shifts. A total of 15 incident reports were identified. All had been investigated, revealing appropriate decision making in cancelling ambulance resources. No patient harm was identified. APPCCs working within a governance framework safely saved a significant number of ambulance resources over a three-year period. Perceived benefits include 'freeing up' DCA and solo responders, allowing them to be redirected to other emergency calls, leading to potential improvement in response times for patients waiting for an ambulance resource.

Rancang Bangun Thermoelectric Generator (TEG) Sebagai Suplai Daya Alternatif Germinasi Kacang Hijau

The central government has established the National Energy Policy (KEN) to increase the utilization of renewable energy sources (EBT) by around 23% by 2025 and 31% by 2050. In an effort to support the government's program, researchers have developed a Thermoelectric Generator (TEG) as an alternative power supply to replace the energy source from PT PLN for electrical equipment used in the green bean germination process such as lights, fans, and water pumps. This prototype consists of two chambers: a combustion chamber that generates electrical energy and a control room for the germination process. These two areas are separated to ensure that the control device and germination process are not affected by the heat from combustion. The main components of this prototype include ten TEG units with a maximum power of 5.2 W, a 33 Ah battery, an 8A Buck-boost converter, a 3A Buck converter, a 6W Full Spectrum LED, four DC fans, and a DC pump. The TEG functions effectively as the germination process proceeds smoothly.

Assessment of Ambient X-ray Pollution and its Health Effects in the Medical Diagnosis Centers in Kabul City

One of the most common pollutants in healthcare facilities is X-ray radiation, which can seriously injure patients as well as staff members in the corresponding department if safety precautions are not taken and the risks are not sufficiently understood. To look at X-ray radiation pollution in radiology centers in Kabul, measurements were taken with Poly-Master detectors in several radiology center locations, including the control room, hallways, behind the gates, and in more than 12 radiology facilities. The dose data was then analyzed. The SPSS program was used to assess background, X-ray devices worker equivalent doses, ambient pollution, and surface pollution. The results demonstrate that, there is no surface pollution following exposure and that the background dose is typically normal. The X-ray device used by employees' equivalent dose was found to be slightly greater than the specified threshold in places where radiology criteria was not taken into account, but overall it was near to normal. The equivalent dose estimate for radiation workers indicates that, in terms of health impacts, the dosage is typically not more than the established limit and does not pose a significant risk to health. As can be seen from the spatial distribution, radiation risks are higher at sites with a higher volume of radiology services. However, these risks can be mitigated by having adequate knowledge and information about how the device operates.

Measurement and Risk Analysis of Ozone (O3) Concentrations in the 9 MeV and 12 MeV Electron Mode LINAC

This study investigates potential non-radiation hazards, specifically Ozone (O3) production, during Linear Accelerator (LINAC) electron mode radiotherapy. The research uses experimental measurements to determine Ozone concentration in the LINAC patient waiting room and control room. Measurements are taken assuming a ±2-hour delay in one working day, using 9 MeV and 12 MeV energy, 400 MU dose rate, and illumination angles of 0o, 90o, and 270o. Maximum Ozone concentrations in the LINAC patient waiting room and control room are found to be 6.6 ppb (12 MeV) and 8.3 ppb (12 MeV), respectively. These concentrations fall below the chemical threshold limit and are deemed safe for human exposure. Notably, potentially detectable Ozone levels are observed in the LINAC banker. Overall, this research highlights the importance of monitoring Ozone levels to ensure the safety of both patients and personnel in LINAC facilities.

Initial experience, safety, and feasibility using remote access or onsite technical support for complex ablation procedures: results of the REMOTE study.

Electroanatomical mapping (EAM) systems are essential for the treatment of cardiac arrhythmias. The EAM system is usually operated by qualified staff or field technical engineers from the control room. Novel remote support technology allows for remote access of EAM via online services. Remote access increases the flexibility of the electrophysiological lab, reduces travel time, and overcomes hospital access limitations especially during the COVID-19 pandemic. Here, we report on the feasibility and safety of EAM remote access for cardiac ablation procedures. Mapping and ablation were achieved by combining the EnsiteX™ EAM system and the integrated Ensite™ Connect Remote Support software, together with an integrated audiovisual solution system for remote support (Medinbox). Communication between the operator and the remote support was achieved using an incorporated internet-based common communication platform (Zoom™), headphones, and high-resolution cameras. We investigated 50 remote access-assisted consecutive electrophysiological procedures from September 2022 to February 2023 (remote group). The data were compared with matched patients (n = 50) with onsite support from the control room (control group). The median procedure time was 100 min (76, 120; remote) vs. 86 min (60, 110; control), P = 0.090. The procedural success (both groups 100%, P = 0.999) and complication rate (remote: 2%, control: 0%, P = 0.553) were comparable between the groups. Travel burden could be reduced by 11 280 km. Remote access for EAM was feasible and safe in this single-centre study. Procedural data were comparable to procedures with onsite support. In the future, this new solution might have a great impact on facilitating electrophysiological procedures.

Predicting the duration of motorway incidents using machine learning

AbstractMotorway incidents are frequent & varied in nature. Incident management on motorways is critical for both driver safety & road network operation. The expected duration of an incident is a key parameter in the decision-making process for control room operators, however, the actual duration for which an incident will impact the network is never known with true certainty. This paper presents a study which compares the ability of different machine learning algorithms to estimate the duration of motorway incidents on Ireland’s M50 motorway, using an extensive historical incident database. Results show that the support vector machine has the best performance in most cases, but a different method may need to be used to improve accuracy in some situations. Results highlight the main challenges in accurately forecasting incident durations in real time & recommendations are made for improving prediction accuracy through systematic recording of various additional incident details.

Environmental Risk Assessment of a Hydrocracker Unit in Abadan Oil Refinery Using the EFMEA Analysis

Background: The aim of risk assessment is to use a rational method to analyze risks and to identify the possible hazards and outcomes for people, equipment, materials, and the environment. Methods: The criteria and indices for assessing the environmental, health, and safety risks of the hydrocracker unit were determined by a Delphi questionnaire in this study. Then, an Environmental Failure Mode and Effects Analysis was applied to evaluate, score, and rank the risks based on their probability of occurrence, severity, probability of detection, extent of pollution, and potential of recycling. Results: According to the results of the Delphi process, 19 out of the 22 items were identified as the main criteria in the environmental, health, and safety risk evaluation of the hydrocracker unit at the Abadan Oil Refinery. However, the results indicated that 67% of the risks associated with the life cycle operation were low while 33% of them were high in terms of intensity. In contrast, 75% of the risks associated with control room operators were low and 25% were high in terms of intensity. On the other hand, 64, 7, and 29% of the risks associated with the activities of site employees were low, moderate, and high in terms of intensity, respectively, while the corresponding figures were 14, 29, and 57% in the case of risks associated with repairs. Conclusion: Based on the results of techniques of environmental failure modes and effects analysis (EFMEA) and Delphi, appropriate methods can be used to identify and reduce risks in similar industries.

A study on the impact of electrochromic glazing on indoor environment

The study investigates the impact of electrochromic glazing on indoor environments, providing valuable insights for the practical application of electrochromic glazing. Three rooms were constructed in Zhangjiakou City, China, equipped with different shading devices (electrochromic glazing, venetian blind, and base case of the glazing with no shading). Through experiments and simulations, the analysis of the overall indoor illuminance revealed that electrochromic glass, in its dark state, effectively reduces the average indoor illuminance while ensuring a uniform distribution of illuminance throughout the space, meeting the specified values for the discomfort glare index most of the time. During nighttime lighting, the average illuminance in room with electrochromic glazing was 42% higher than in the control rooms. In winter, the daily heat supply quantity in room with electrochromic glazing was 4.4%–21.9% higher than in the control rooms. In summer, the heat gain in room with electrochromic glazing was 19.1%–41.8% lower than in room with base case of the glazing. On a sunny day in winter, the room with electrochromic glazing exhibited more stable PMV values compared to the room with base case of the glazing, with a 20% increase in the duration of PMV thermal comfort compliance, but its Percentage of PPD values were inferior to the room with base case of the glazing. In summer, the room with electrochromic glazing outperformed both the room with venetian blind and the room wtih base case of the glazing in terms of PMV and PPD values.

3D radiated power analysis of JET SPI discharges using the Emis3D forward modeling tool

Precise values for radiated energy in tokamak disruption experiments are needed to validate disruption mitigation techniques for burning plasma tokamaks like ITER and SPARC. Control room analysis of radiated power (P rad) on JET assumes axisymmetry, since fitting 3D radiation structures with limited bolometry coverage is an under-determined problem. In mitigated disruptions, radiation is toroidally asymmetric and 3D, due to fast-growing 3D MHD modes and localized impurity sources. To address this problem, Emis3D adopts a physics motivated forward modeling (‘guess and check’) approach, comparing experimental bolometry data to synthetic data from user-defined radiation structures. Synthetic structures are observed with the Cherab modeling framework and a best fit chosen using a reduced χ 2 statistic. 2D tomographic inversion models are tested, as well as helical flux tubes and 3D MHD simulated structures from JOREK. Two nominally identical pure neon shattered pellet injection (SPI) mitigated discharges in JET are analyzed. 2D tomographic inversions with added toroidal freedom are the best fits in the thermal quench (TQ) and current quench (CQ). In the pre-TQ, 2D reconstructions are statistically the best fits, but are likely over-optimized and do not capture the 3D radiation structure seen in fast camera images. The next-best pre-TQ fits are helical structures that extend towards the high-field side, consistent with an impurity flow under the magnetic nozzle effect also observed in JOREK simulations. Whole-disruption radiated fractions of 0.98+0.03/ −0.29 and 1.01+0.02/−0.17 are found, suggesting that the stored energy may have been fully mitigated by each SPI, although mitigation efficiencies well below ITER and SPARC requirements for high energy pulses are still within the large uncertainties. Emis3D is also used to validate JOREK SPI simulations, and confirms improvements in matching experiment from changes to impurity modeling. Time-dependent toroidal peaking factors are calculated and discussed.

Research on Radiation Monitoring Strategy for Spent Fuel Reprocessing Plant Based on Coordination of Nuclear Security Risk and Facility Importance Evaluation

This paper examines a method and scheme for optimizing the allocation of nuclear radiation monitoring resources, based on the analysis of the risk of nuclear security events and the importance of facilities in a spent fuel reprocessing plant. By constructing a nuclear security radiation accident tree for a plant, the importance of different security events was calculated using fuzzy mathematics and expert scoring methods. The importance of each facility was determined by establishing a fuzzy comprehensive decision model, and a resource allocation scheme for nuclear radiation monitoring was proposed based on the importance level of facilities. The research findings demonstrated that the extraction process plant in the main process area, and the centralized control room in the front area of the plant, were of highest importance. Accordingly, three levels of nuclear radiation monitoring programs were established based on the importance of each facility. This study offers theoretical and technical support for the safety management and operation of a spent fuel reprocessing plant. Additionally, the analysis results can serve as a reference for allocating nuclear radiation monitoring resources in various facilities in a reasonable manner.

Collecting and Organizing the Influencing Factors of Team Communications to Handle Nuclear Power Plant Emergencies

A nuclear power plant (NPP), as a complex safety-critical system, requires qualified operators working in teams. Interactions between operators in the main control room (MCR) team are important to ensure safe operation. Since communication is the basis of the operators’ interactions, team communication is a significant factor affecting teamwork performance. Especially during NPP emergencies, poor team communication may lead to incorrect decisions and countermeasures, causing deterioration toward accidents. Moreover, in an emergency situation, emergency response teams are assembled. This multi-team and critical work condition further emphasizes the need for effective and accurate team communication. We collected the factors influencing team communication in NPP emergencies using a literature review combined with text mining. Our method for extracting the influencing factors consists of four steps; then, by applying topic modeling from text mining, we complemented the influencing factors. The resulting list of influencing factors of team communications for handling NPP emergencies is organized into five elements: individual, team, communication, NPP tasks, and external elements. Discussions on the team communication model, applicability, communication errors, and emergency response teams are also presented.

Nonparametric efficiency analysis with unobserved inputs in multi-output settings

Transport service providers are increasingly interested in benchmarking. The digitized nature of railway management, which relies heavily on automation and intangible inputs, conflicts with standard assumptions in the benchmarking literature that maintain full knowledge of all input factors. This creates a potential for omitted variable bias during efficiency measurement. In addition, designing accurate improvement actions requires output-specific rather than overall efficiency scores. To address these concerns we compute output-specific cost efficiency scores for multi-output entities where a subset of inputs remain unobserved to the analyst. We apply the method to highly customized data on Belgian railway traffic control rooms. We document that the magnitude of the omitted variable bias differs across outputs. Moreover, the results of a metafrontier analysis suggest that there are substantial differences in production possibilities across control rooms.