alarm management
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2022 ◽  
Vol 100 ◽  
pp. 103670
Author(s):  
Richard J. Simonson ◽  
Joseph R. Keebler ◽  
Elizabeth L. Blickensderfer ◽  
Ron Besuijen

2021 ◽  
Author(s):  
Ting-Ting Lee ◽  
Yu-Shan Shih

The management of alarms is a key responsibility of critical care nurses. A qualitative study with focus group interviews were conducted with 37 nurses in Taiwan. Four main themes were derived: the foundation of critical care practice, a trajectory of adjust alarms management, negative impacts on care quality and patient safety, hope for remote control and multimodal learning. Results revealed that diverse training methods may facilitate nursing competency and devices usability to promote critical care.


2021 ◽  
Author(s):  
Mahmoud AbdulHameed Al Mahmoud ◽  
Joseph Sylvester Pius David ◽  
Askar Jaffer

Abstract Alarm Management Systems ("AMS") have been adopted in the oil & gas industry where several benefits were realized. Such as improved panel operator effectiveness, maintaining higher levels of plant uptime and integrity, reducing the number of abnormal situation. Which ultimately leads to higher asset productivity. Several OPCO have multiple operational assets/sites that are geographically diverse. Where each asset might have a different Integrated Control System ("ICS") due to the time and availability of technology at the time of commissioning. Requiring diverse locally implemented AMS. A unified CAMS thus reduces time and effort to develop, deploy, and maintain alarm systems and is an essential toolkit for enhanced safe operation of the plant. Some sites have multiple plants wuth common pocess control section. The process control enginners needs to visit individual plants access DCS alalrms. By carryinhour corporate alarm management, engibbers at their office PCs have the access to the DCS alarms. Implementing CAMS requires the presence of a robust data presence infrastructure in place. Notably a centralized plant information management system, where several real time data points with regards to alarms and operator inputs can be captured. A CAMS unifies the approach of how alarm management is conducted in the company. Where a CAMS system generates a set of standard and custom templates that highlight the performance of each operating asset/shift/panel operator. Providing insights into the performance of each asset, efficiency of each operational shift and response of the panel operators. That when addressed, will lead to an overall performance and production of the operational asset. With this alarm management data, it can be further enhanced through data analytics to identify areas where operational efficiencies can be achieved. Additionally, the CAMS reduces the times and effort to deploy an alarm management system for any future operating asset expansions. CAMS coupled with real time data and Machine learning algorithms, past behaviours of the plant can be correlated, which can then be utilised for future predictions on alarms. This would further enhance our data driven decision-making, and would reduce the dependence on personal driven decisions. It can be concluded, that the CAMS is worthy investment for operating companies that have geographical/ICS diverse operational assets.


2021 ◽  
pp. 097321792110512
Author(s):  
Suryaprakash Hedda ◽  
Shashidhar A. ◽  
Saudamini Nesargi ◽  
Kalyan Chakravarthy Balla ◽  
Prashantha Y. N. ◽  
...  

Background: Monitoring in neonatal intensive care unit (NICU) largely relies on equipment which have a number of alarms that are often quite loud. This creates a noisy environment, and moreover leads to desensitization of health-care personnel, whereby potentially important alarms may also be ignored. The objective was to evaluate the effect of an educational package on alarm management (the number of alarms, response to alarms, and appropriateness of settings). Methods: A before and after study was conducted at a tertiary neonatal care center in a teaching hospital in India involving all health-care professionals (HCP) working in the high dependency unit. The intervention consisted of demo lectures about working of alarms and bedside demonstrations of customizing alarm limits. A pre- and postintervention questionnaire was also administered to assess knowledge and attitude toward alarms. The outcomes were the number and type of alarms, response time, appropriateness of HCP response, and appropriateness of alarm limits as observed across a 24-h period which were compared before and after the intervention. Findings: The intervention resulted in a significant decrease in the number of alarms (11.6-9.6/h). The number of times where appropriate alarm settings were used improved from 24.3% to 67.1% ( P < .001). The response time to alarm did not change significantly (225 s vs 200 s); however, the appropriate response to alarms improved significantly from 15.6% to 68.8%. Conclusion: A simple structured intervention can improve the appropriate management of alarms. Application to Practice: Customizing alarm limits and nursing education reduce the alarm burden in NICUs


2021 ◽  
Author(s):  
Mariane Yvonne Schneider ◽  
Hidenori Harada ◽  
Kris Villez ◽  
Max Maurer

On-site wastewater treatment plants (OSTs) are widely seen as a stopgap solution, mainly because of a lack of monitoring and the resulting unreliable treatment performance. To address this concern, low maintenance, but inaccurate soft sensors are emerging. However, the impact of this inaccuracy on the treatment performance of entire fleets of OSTs has not been quantified. We develop a stochastic model to estimate these performances. In the modelled case soft sensors with a 70% accuracy improve the treatment performance from 66% (percentage of time functional) to 98%. Soft sensors optimised for specificity (true negative rate) improve the system performance, while such optimised for sensitivity (true positive rate) quantify the treatment performance more accurately. Based on this new insight we suggest to build two soft sensors with the same data input in practical settings: one soft sensor geared towards high specificity, for maintenance scheduling, and one geared towards high sensitivity, for fleet performance quantification. The findings suggest that inaccurate sensors in combination with an appropriate alarm management have the potential to largely improve the treatment performance of a fleet of OSTs. We present a management strategy to reduce undetected failures drastically and thereby diminish negative impacts on environmental and human health.


2021 ◽  
Vol 9 ◽  
Author(s):  
Yifan Lin ◽  
Shengfeng Wang ◽  
Ye Wu ◽  
Jinghua Xiao

Modern telecommunication systems produce large amounts of alarm messages, and alarm management is vital for telecommunication systems’ high-quality performance. Building functional networks by observing the pair similarity between time series is a useful way to filter and reduce alarm messages. Because of the coexistence of positive and negative correlations among telecommunication devices, most of the similarity measures have troubles in computing the complex correlations. In this paper, we propose an index of measuring how much two-alarm series deviate from the uncorrelated situation to detect the correlation of both sides. Synthetic sequences verify our method. Furthermore, we apply our method to analyze telecommunication devices’ alarm correlation in a province of China. Our index of pair similarities is capable of measuring other discrete event data.


2021 ◽  
Author(s):  
A. E Prasetyo

Poorly managed alarms and improper design of alarm system have contribute to major industrial incident. Some examples are fire explosion on Milford Haven, 24th July 1994 where it flooded by alarms at the rate of one every two or three seconds resulting operator cancelling those alarms due to the nuisance (Health and Safety Executive, 1997), other case was from Texas City Refinery explosion, 23rd March 2005 where the high level alarm was ignore while the secondary high alarm was faulty (BP Executive Summary, 2005), and recent incident of Fatal Gas Well Blowout in Pryor Trust gas well Pittsburgh Country 22nd January 2018 where the entire alarm system was disabled by rig personnel due to nuisance condition (U.S. Chemical Safety and Hazard Investigation Board,2019). Banyu Urip facility have put significant effort on improving alarm effectiveness. This paper describes Banyu Urip alarm management workflow and improvement consisting of data collection, alarm analysis (identify bad actor), short term repair/improvement, alarm review & rationalization, management of change process, re-evaluation of operating envelopes, and high focus for implementation and stewardship. Alarm management tools and dashboard significantly helps the process. There are 4 KPIs that periodically reviewed: number of alarm rate, standing alarm, shelved alarm and critical operating parameter. This paper also provide Banyu Urip plant alarm management journey that started by first cold eyes review found imbalance of 3 panel operator load. Reconfigure asset assignment significantly improve the alarm rate as well as plant stability. The journey continue by multiple approach depend on the case of alarm such as nuisance alarm and standing alarm consisting alarm rationalization, alarm suppression logic, equipment out Of service logic, time delay implementation, control loop tuning, and deadband setting. Other than that, manual shelving process also utilized for nuisance alarms short term action caused by equipment or sensor problem, as long as mitigation exists, communicated on every shift handover and directly followed up to maintenance order list. There are also some cases where known equipment issues waiting for long term resolution causing continuous alarms. Risk screening process help all parties aware on incremental risk during the interim period. Having above alarm management improvement workflow, CPF site team have able to reduce down the alarm rate to stable criteria (<12 / hours) and standing alarm continue to decrease to 10/console. Finally, this paper also describes how alarm management practices can be also utilized as supplementary surveillance dashboard to improve plant reliability


2021 ◽  
Vol 39 (2) ◽  
Author(s):  
Amirhossein Yousefinya ◽  
Camellia Torabizadeh ◽  
Farid Zand ◽  
Mahnaz Rakhshan ◽  
Mohammad Fararooei

Objective. To evaluate the effects of application of a manual on the improvement of alarms management in Intensive Care Units (ICU). Methods. This quasi-experimental study evaluated the effectiveness of the introduction into of a manual for alarm management and control in the ICU of a hospital in southeastern Iran. The intervention was a 4-hour workshop was on topics related to the adverse effects of alarms, standardization of ECG, oxygen saturation and blood pressure monitoring systems, and the use of ventilators and infusion pumps. Data were collected thorough 200 hours of observation of 60 ICU nurses (100 hours’ pre-intervention and 100 hours’ post-intervention). Response time, type of response, customization of alarm settings for each patient, the person responding to an alarm, and the cause of the alarm were analyzed. Alarms were classified into three types: false, true and technical. Results. The results showed a statistically significant difference between the pre- and post-intervention frequency of alarm types, frequency of monitoring parameters, customized monitoring settings for patients, and individuals who responded to alarms. The percentage of effective interventions was significantly higher for all parameters after the intervention (46.9%) than before the intervention (38.9%). Conclusion. The employment of a manual for management of alarms from electronic equipment in ICUs can increase the frequency of appropriate responses to alarms in these units.


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