Safety Framework Research Articles

Key Elements in Integrity Management of Underground Gas Storage: A Framework for Energy Safety

Gas reservoir-type underground gas storage (UGS) plays a critical role in China’s natural gas reserves and peak shaving, serving as an essential component of the energy security system. Its unique cyclic injection and production operations not only stabilize the natural gas supply but also impose stringent requirements on the safety and integrity of geological structures, wellbores, and surface facilities. Weaknesses in current practices can cause accidents, directly threatening energy security. Therefore, continuously improving integrity management is the key to mitigating energy risks. Currently, the integrity management of gas storage faces challenges such as an abundance of standards and the complexity of management elements, which affect both operational safety and management efficiency. To address these issues, this study systematically analyzes domestic and international standards related to gas storage and establishes a technical system based on “three-in-one” integrity management (geological structure, wellbore, and surface facilities). Key elements of integrity management are identified and optimized, and recommended execution standards for critical factors are proposed to provide a theoretical basis and decision-making support for the safe operation of gas storage. This study not only offers a reference for optimizing and implementing integrity management standards but also has significant practical implications for enhancing energy security and reducing energy risks, ensuring the smooth execution of China’s natural gas reserve and peak shaving initiatives.

Proposing an Affordable Real-Time Camera-Based Safety and Quality Management Framework for Construction Industries in Developing Countries

Proposing an Affordable Real-Time Camera-Based Safety and Quality Management Framework for Construction Industries in Developing Countries

Work-Related Psychosocial Risk and Protective Factors Influencing Workplace Sickness Absence: A Systematic Literature Review.

Employee sickness absence (SA) is a significant issue facing organizations and individuals worldwide, leading to multiple negative consequences, such as increased costs, early retirement, decreased productivity, and reduced quality of work. Therefore, within the occupational health and safety (OHS) framework, it is crucial to explore the factors that help workforces stay at work sustainably. This study investigates the role of work-related psychosocial factors (WRPFs) as predictors of SA and suggests proactive measures to prevent its occurrence. A systematic literature review was conducted within the Job Demands-Resources Model framework. Following the PRISMA Checklist, 1087 articles from PsycINFO, Medline, and Web of Science databases were screened, and 30 longitudinal studies were included. The findings describe SA as a multifaceted phenomenon influenced by risk (e.g., poor quality leadership, bullying, and violence) and protective WRPFs (e.g., developmental opportunities and social support). These factors, spanning contextual, content-related, and relational dimensions, collectively influence workers' SA over time. These insights provide valuable guidance for researchers and OHS stakeholders, supporting the development of research and interventions aimed at preventing SA. This research contributes important knowledge to the field, paving the way for more targeted strategies that address the organizational causes of SA and promote healthier, more productive work environments.

A Framework for Runtime Safety of Industrial Control Systems Through Runtime Verification

A Framework for Runtime Safety of Industrial Control Systems Through Runtime Verification

Enhancing modern aviation systems through systems engineering principles and emerging technologies

Modern aviation systems are at the forefront of technological innovation, integrating systems engineering principles to optimize design, efficiency, and safety. This paper explores the research question: "How can systems engineering principles enhance the design, efficiency, and safety of modern aviation systems, from airfoil optimization to intelligent flight management systems?" It delves into the synergistic impact of systems engineering, artificial intelligence (AI), adaptive engineering, and collaborative frameworks on aviation. Key focus areas include airfoil optimization, intelligent flight management systems, and collaborative safety frameworks. Historical insights contextualize these advancements, emphasizing the industry's evolution and future trajectory.

Constructing Safety Management Systems in Modern Industry and Trade Enterprises: A STAMP-Based Approach

With the burgeoning landscape of new enterprises and business paradigms, industrial and trade enterprises are facing escalating pressure to ensure operational safety. Conventional safety management mechanisms have proven to be inadequate for adapting to the dynamic market demands and intricacies of modern production environments. To improve safety management practices, this study integrates complex network theory to dissect the causal chains underlying accidents in industry and trade enterprises. A network model is established to elucidate the factors contributing to accidents and leverage datasets from safety inspections to construct a repository of latent safety risks. To address deficiencies in extant safety frameworks, a comprehensive safety management evaluation system is formulated, comprising ten primary evaluation indices and 30 secondary metrics. Based on the established frameworks, such as ISO 45001 for occupational health and safety management systems (OHSMS), standardized safety production protocols, and risk hierarchical management and control systems and hidden hazard identification and treatment systems (dual prevention systems), a holistic safety management system (SMS) is synthesized on the basis of system-theoretic accident model and process (STAMP) theory. This systematic approach culminates in a robust framework tailored to modern industrial and trade enterprises, fostering flexibility and efficacy in safety management capabilities. This case analysis underscores the model’s ability to enhance its safety management proficiency, thereby amplifying its relevance in fortifying enterprise operations and fostering sustainable growth. This study represents a pivotal step toward augmenting safety management capacities within the industrial and trade enterprises to safeguard enterprise vitality and advance sustainable business practices.

Penegakan Hukum Terhadap Penyalahgunaan Tanda Nomor Kendaraan Roda Dua Dalam Kasus Tilang Elektronik

The enforcement of legal measures against the misuse of registration plates on two-wheeled vehicles has become a critical concern in Indonesia's traffic system. This issue is exacerbated by the increasing number of violations leading to erroneous electronic fines (e-tickets), undermining public trust in the legal system. According to 2023 data from the Indonesian National Police, over 500 cases of counterfeit license plate usage resulted in misdirected e-tickets. This study examines the enforcement of laws addressing the misuse of vehicle registration plates under Law No. 22 of 2009 on Road Traffic and Transportation. It focuses on identifying weaknesses in the current legal framework and ensuring the application of justice in cases of misallocated fines. Employing a normative juridical approach, this research analyzes existing regulations and evaluates relevant cases. The findings indicate that such misuse contravenes Articles 280 and 288 of Law No. 22 of 2009, which stipulate compliance with technical specifications and legality in vehicle registration. However, enforcement efforts face challenges such as inadequate monitoring tools and the lack of integrated vehicle data systems. This study recommends enhancing the data verification processes in e-ticketing systems and fostering stronger collaboration between law enforcement and related agencies to address these issues. Such measures aim to improve legal accountability and ensure equitable traffic supervision. By tackling these systemic shortcomings, the research contributes to restoring public confidence in traffic law enforcement and promoting a more effective legal framework for road safety in Indonesia.

Advancing microbiota therapeutics: the role of synthetic biology in engineering microbial communities for precision medicine.

Over recent years, studies on microbiota research and synthetic biology have explored novel approaches microbial manipulation for therapeutic purposes. However, fragmented information is available on this aspect with key insights scattered across various disciplines such as molecular biology, genetics, bioengineering, and medicine. This review aims to the transformative potential of synthetic biology in advancing microbiome research and therapies, with significant implications for healthcare, agriculture, and environmental sustainability. By merging computer science, engineering, and biology, synthetic biology allows for precise design and modification of biological systems via cutting edge technologies like CRISPR/Cas9 gene editing, metabolic engineering, and synthetic oligonucleotide synthesis, thus paving the way for targeted treatments such as personalized probiotics and engineered microorganisms. The review will also highlight the vital role of gut microbiota in disorders caused by its dysbiosis and suggesting microbiota-based therapies and innovations such as biosensors for real-time gut health monitoring, non-invasive diagnostic tools, and automated bio foundries for better outcomes. Moreover, challenges including genetic stability, environmental safety, and robust regulatory frameworks will be discussed to understand the importance of ongoing research to ensure safe and effective microbiome interventions.

Global HSE regulatory frameworks and their impact on operational efficiency in the energy sector

The global energy sector operates within a complex regulatory environment shaped by Health, Safety, and Environmental (HSE) frameworks that aim to protect both human health and the environment while enhancing operational efficiency. This study examines the key HSE regulatory frameworks implemented across various regions and their impact on operational practices in the energy sector. By analyzing regulations such as the European Union’s REACH (Registration, Evaluation, Authorisation, and Restriction of Chemicals) and the United States' OSHA (Occupational Safety and Health Administration) standards, alongside other national and international policies, the paper identifies the critical aspects of HSE regulations and their influence on risk management, safety protocols, environmental sustainability, and business performance. The findings highlight that while stringent HSE regulations contribute to reducing operational risks and enhancing corporate social responsibility, they may also increase compliance costs and operational complexities. The paper argues that a well-structured HSE framework can lead to improved long-term operational efficiency by reducing accidents, optimizing resource utilization, and enhancing sustainability practices. However, the balance between compliance and cost-effectiveness remains a significant challenge for energy companies operating in diverse regulatory environments. Recommendations are provided for harmonizing regulations and fostering innovation in compliance strategies to support sustainable development and enhanced operational efficiency.

Integrated IoT-Based Fire Prevention and Evacuation System for High-Rise Buildings

Conventional fire protection systems, characterized by low installation costs, often lack the sophistication to provide optimal protection, especially in high-rise buildings. This study aims to refine the operational productivity concerning fire prevention and evacuation by embracing a detailed fire safety framework that leverages Internet of Things (IoT) capabilities. This prototype integrates SMS and phone call alerts to facilitate timely response in case of fire detection. The system utilizes three key sensors: a KY-026 flame sensor module, an MQ-2 gas and gas sensor, and an LM35 temperature sensor. Testing results indicate significant sensor value variations between normal and fire conditions. The KY-026 flame sensor module, for instance, exhibited an average reading of 137.3 under normal conditions and 895.2 during fire detection. Similarly, the MQ-2 sensor recorded 1234.7 ppm and 4237.8 ppm, respectively. The LM35 temperature sensor measured 28.34°C and 48.46°C under normal and high-temperature conditions. Despite the sensors showcasing commendable efficacy, they displayed a minor error margin fluctuating between 0.04% and 1.08%.

Generative AI Ethics: a Comprehensive Safety and Regulation Framework

The quick development of generative AI technology has brought about revolutionary new possibilities for decision-making, design, and content production. But these developments have also raised serious ethical questions, emphasizing the need for an all-encompassing framework to guarantee the security and control of generative AI systems. To address the ethical issues raised by generative AI, this study puts forth a paradigm that centers on the concepts of accountability, transparency, and governance. Strategies for reducing the dangers associated with AI-generated content are provided by this paper through an analysis of the present regulatory frameworks and the identification of gaps. The framework that is being suggested supports a multi-stakeholder approach that incorporates technical, legal, and ethical viewpoints to establish a well-rounded and efficient regulatory framework. The discussion of research directions for the future and the significance of continuing discourse to maintain AI technologies in line with social ideals finishes the article.

Engineering Safety and Ethical Challenges in 2045 Artificial Intelligence Singularity

Artificial intelligence (AI) has rapidly advanced, increasingly showcasing its powerful learning and computational capabilities. This progress has resulted in significant breakthroughs in areas such as image processing, speech recognition, and autonomous driving. Scientists predict that by around 2045, AI will overcome existing technological barriers, allowing strong AI to surpass human intelligence. However, it will inevitably affect human social relationships and order. Ethical issues associated with AI technology, such as unemployment, privacy breaches, and discrimination, generate a sense of threat among people, resulting in a loss of confidence in AI, which hampers its sustainable progress. Therefore, AI ethical issues are not only significant topics in academia but also become critical concerns for individuals, society, and nations. This article aims to address the challenges of AI ethics safety and the erosion of human confidence, while promoting the sustainable development of AI. It presents an AI ethics safety framework that analyzes engineering ethics and human trust within the context of sustainable AI development, and it recommends governance methods and strategies informed by case studies. Furthermore, we propose evaluation criteria and methods, establishing early-warning thresholds to keep potential AI risks within acceptable limits. Finally, the future prospects for AI ethics safety are highlighted. We hope our research contributes to the sustainable development of AI, ensuring that the arrival of the AI singularity has a positive impact on society with a long-term harmonious coexistence between AI and humanity.

CONDUCTING AN INDUSTRIAL SAFETY AUDIT AT OIL AND GAS FACILITIES

In modern conditions, it has become necessary to partially shift responsibilities for supervision and control of industrial safety without deterioration of quality from the state to business. Large-scale oil and gas companies have a great demand for an independent assessment of industrial safety at hazardous production facilities, due to a significant increase in financial costs for eliminating the consequences of accidents at hazardous production facilities of I and II hazard classes. The state is interested in controlling a new type of activity and expanding the regulatory framework for industrial safety. President of the Russian Federation Vladimir V. Putin signed Federal Law No. 637-FZ dated December 25, 2023, which amends the Federal Law «On Industrial Safety of Hazardous Production Facilities» and some other legislative acts. One of the key innovations is the introduction of the Institute for Audit of Industrial Safety Management Systems. This article analyzes the best existing practices of conducting industrial safety audits in large-scale oil and gas companies of the Russian Federation. Particular emphasis was placed on identifying the advantages and positive aspects of implementing such activities in organizations like Rosneft, Gazprom and Lukoil. The issues of assessing the compliance of hazardous production facilities in the oil and gas complex with the requirements of legislation in the field of industrial safety by conducting an industrial safety audit were raised. The purpose of the work is to develop a step-by-step algorithm for conducting an industrial safety audit for oil and gas facilities. The industrial safety audit algorithm includes four steps: preparation for the audit, documentary analysis, full-scale audit, and registration of the results. The result of an industrial safety audit is an audit report drawn up at the final meeting of auditors and customers, based on documentary and in-kind inspections. This document is necessary for the management of the enterprise and the supervisory authorities of the Russian Federation. Industrial safety audit provides a number of significant advantages that help organizations to identify deviations from mandatory requirements established in the field of industrial safety. This makes it possible to detect violations in a timely manner and promptly take the necessary corrective measures to eliminate the identified problems. As a result, effective audit contributes to improving the overall safety level at enterprises, preventing possible risks and reducing the possibility of emergencies.

Quantifying the effect of degradation modes on Li-ion battery thermal instability and safety

Understanding the thermal stability of lithium-ion (Li-ion) cells is critical to ensuring optimal safety and reliability for various applications such as portable electronics and electric vehicles. In this work, we demonstrate a combined modeling and experimental framework to interrogate and quantify the role of different degradation modes on the thermal stability and safety of Li-ion cells. A physics-based Li-ion cell aging model is developed to describe the underpinning role of degradation mechanisms such as Li plating, solid electrolyte interphase growth, and the loss of electrode active material on the resulting capacity fade during cycling. By incorporating mechanistic degradation descriptors from the aging model, we develop a degradation-aware cell-level thermal stability framework that captures key safety characteristics such as thermal runaway (TR) onset temperature, self-heating rate, and peak TR temperature for different cycling conditions. Additionally, we perform electrochemical and accelerating rate calorimetry (ARC) experiments to evaluate the thermo-kinetic parameters associated with the various exothermic reactions during TR of pristine and aged Li-ion cells. Through a synergistic integration of thermo-electrochemical characteristics from the ARC experiments and degradation insights from the cell aging model, the proposed aging-coupled safety framework provides a baseline to quantify the thermal stability of Li-ion cells subject to a wide range of operating conditions and degradation scenarios.

Navigating ethical challenges of explainable ai in autonomous systems

The rapid integration of autonomous systems, such as vehicles, drones, and robots, into various sectors brings forth significant ethical challenges concerning their decision-making processes. This paper examines the role of Explainable AI (XAI) in addressing these challenges, particularly regarding accountability in the event of accidents and the necessity of human oversight in automated environments. We discuss the critical ethical implications of transparency, emphasizing how XAI can bridge the gap between complex algorithmic decision-making and public understanding, thereby fostering trust in these technologies. The paper also outlines the current regulatory frameworks for AI safety, analysing their effectiveness in promoting responsible innovation. Furthermore, we investigate the consequences of opaque algorithms, especially in life-critical applications where the stakes are exceptionally high. Through an analysis of case studies, we showcase how organizations have successfully implemented XAI to enhance safety measures and uphold ethical responsibility in their autonomous systems. Ultimately, this study advocates for the integration of XAI as a vital component in developing responsible autonomous technologies, ensuring accountability, and safeguarding public trust in an era increasingly defined by automation.

Designing comprehensive workforce safety frameworks for high-risk environments: A strategic approach

High-risk industries such as oil and gas, construction, and manufacturing face significant challenges in safeguarding their workforce due to the inherent dangers of their operations. This paper presents a strategic approach to designing comprehensive workforce safety frameworks that address both personal and process safety. Personal safety focuses on the use of personal protective equipment (PPE), behavior-based safety programs, and training, while process safety aims to manage operational risks such as equipment malfunctions and hazardous materials. The interdependency of these two safety pillars is essential in reducing workplace accidents and ensuring a safer operational environment. Challenges in implementing safety frameworks, such as complex operations, human factors, and technological and regulatory barriers, are also discussed. To overcome these challenges, the paper proposes a series of strategic solutions, including risk assessment, technology integration, continuous improvement, and stakeholder collaboration. By adopting these recommendations, industries can develop customized safety frameworks that protect their workforce and enhance operational efficiency. Keywords: High-Risk Industries, Workforce Safety, Personal Safety, Process Safety, Risk Assessment, Safety Frameworks.

A nationwide mixed-methods study of gaps and barriers to implementation of antimicrobial stewardship programmes in hospitals in Indonesia

There is an urgent need to understand the implementation barriers of antimicrobial stewardship programs (ASP) in low- and middle-income countries. We conducted a mixed-methods study in public and private hospitals across all provinces in Indonesia (March-December 2023). We used a self-assessment questionnaire with a scoring system, and multilevel ordinal regression to assess associations with hospital and district-level characteristics. Focus group discussions (FGD) with hospital stakeholders examined barriers and enablers. We applied a patient safety framework to integrate results. 575 (19%) of 3026 hospitals completed the self-assessment, of whom 516 (89.7%) had a formal ASP (median 4 [IQR1-5] years), and 14 participated in FGD. The median overall ASP development score was 48.4% (35.9-62.5%), classifying 41 (8.0%) hospitals as inadequate (0-25%), 237 (45.9%) as basic (26-50%), 179 (34.7%) as intermediate (51-75%) and 59 (11.4%) as advanced (76-100%). Scores were highest for hospital leadership support (83.4% [66.7-100%]), followed by ASP team and infectious disease training (66.7% [55.6-77.8%]); education (50% [0.0-75.0%]); ASP interventions (43.8% [18.7-68.7%]); hospital infrastructure (42.9% [14.3-71.4%]); and monitoring, reporting and feedback (40.9% [27.3-54.5%]). A higher ASP development score was associated with higher hospital tiered level, longer ASP duration, and higher district-level public health development index and per capita domestic expenditure, but not with hospital ownership or geographic region. FGDs highlighted barriers related to hospital leadership support, staff technical and behavioral skills, cross-disciplinary collaboration, fear of loss of prescriber autonomy, microbiology and IT support, and hospital accreditation. Identified implementation barriers can inform actions for context-specific, sustainable improvement of ASPs.

Process Management Framework for Health and Safety at Work (SST) Companies

Objective: This study aims to develop and implement a process management framework for Occupational Safety and Health (OSH) companies, seeking to optimize the organization and execution of services, identifying improvement opportunities throughout the customer journey, from contract closure to renewal. The proposal is to offer an adaptable model that meets industry demands and enhances the operational efficiency of companies. Theoretical Framework: The theoretical framework addresses the evolution of Regulatory Standards (NRs) since the 1970s and the importance of complying with labor laws for the safety and health of workers in Brazil. The role of eSocial, created in 2014 to unify and ensure the collection of employer information, is highlighted, as well as its function in alerting them to legal risks. Method: The methodology used was action research, as defined by Oquist (1978). The research involved mapping the operational processes of OSH companies to identify areas for improvement. The first version of the framework was developed, tested, and based on the results, improved into a second version. The improvements were based on tests and validations conducted throughout the process. Results and Discussion: The first version of the framework showed positive results but also highlighted the need for improvements, which were incorporated into the second version. Changes included the restructuring of steps and the addition of a new phase focused on the commercial process. Satisfaction surveys with internal and external clients, as well as accounting firms, indicated positive acceptance but also a lack of systemic vision among professionals, affecting the quality of the work. Research Implications: The research implications are significant for the OSH sector. The developed framework improves the organization and efficiency of service-providing companies. The study also highlights the importance of performance indicators to monitor performance and mitigate risks, such as customer loss. It is recommended that future research explore the adaptation of the framework to new technologies and automation. Originality/Value: The originality of this study lies in the creation of a process management framework specifically for OSH companies, where organization and efficiency are essential for complying with labor regulations and ensuring worker safety. The value of the work resides in its practical contribution to the sector, offering an adaptable model that can be improved based on feedback and technological advancements.

Vernacularizing Taxonomies of Harm is Essential for Operationalizing Holistic AI Safety

Operationalizing AI ethics and safety principles and frameworks is essential to realizing the potential benefits and mitigating potential harms caused by AI systems. To that end, actors across industry, academia, and regulatory bodies have created formal taxonomies of harm to support operationalization efforts. These include novel “holistic” methods that go beyond exclusive reliance on technical benchmarking. However, our paper argues that such taxonomies are still too general to be readily implemented in sector-specific AI safety operationalization efforts, and especially in underresourced or “high-risk” sectors. This is because many sectors are constituted by discourses, norms, and values that “refract” or even directly conflict with those operating in society more broadly. Drawing from emerging anthropological theories of human rights, we propose that the process of “vernacularization”—a participatory, decolonial practice distinct from doctrinary “translation” (the dominant mode of AI safety operationalization)—can help bridge this gap. To demonstrate this point, we consider the education sector, and identify precisely how vernacularizing a leading taxonomy of harm leads to a clearer view of how harms AI systems may cause are substantially intensified when deployed in educational spaces. We conclude by discussing the generalizability of vernacularization as a useful AI safety methodology.

Danger, Nuisance, Disregard: Analyzing User-Generated Videos for Augmented Reality Gameplay on Hand-held Devices

Augmented Reality (AR) has been largely deployed on smartphones in recent years. AR gaming, featured with geo-reference, is anchored to our real-world environments. Nevertheless, designing such AR user interaction in-the-wild is under-explored. Therefore, we examined 242 YouTube videos regarding AR gameplay, primarily Pokémon GO, (1) to reveal personal and social threats during gameplay, and (2) to identify how such threats connect to the user and spatial contexts. Our video analysis generalises the threats, including but not limited to hitting bystanders, falling off a cliff, car crashes, crowds and blockages, and stampedes. Through video analysis, we connect the threats with the user and spatial contexts. Subsequently, we propose several design tactics to deliver safe and nuisance-free AR usages in physical environments. Finally, we suggest strategies to consider large-scale deployment of AR at the levels of individuals and local communities, such as an auditable and accountable framework for user safety and social acceptability.