Operational Safety Management Research Articles

IMPROVED CRITERION IN METHOD OF ASSESSMENT OF THE SAFETY LEVEL OF THE PROCESS OF LAND RECULTIVATION OF PLACES OF AMMUNITION DISPOSAL AND DESTRUCTION

The relevance of the research and the need to develop methods that allow assessing the level of safety of the disposal and destruction of ammunition sites are shown not only at the present time, but also in the future when land reclamation measures are applied. An improved criterion for assessing the safety level of the reclamation process of the lands of the disposal and destruction of ammunition sites was developed based on the use of a regulatory approach, and significant indicators were determined, namely: the probability of an explosion, the amount of excessive pressure in the air shock wave, and the level of degradation of the lands of the disposal and destruction of ammunition sites. An improved method of assessing the safety level of the process of land reclamation of the disposal and destruction of munitions by using an improved criterion for assessing the safety level of the process has been developed. The proposed method is suitable not only for long-term evaluation, but also for operational safety management of similar objects. The main advantage of the proposed method in comparison with those used today is to take into account the entire complex of active factors of explosion risk and environmental danger, while minimizing the number of significant environmental quality indicators. Thanks to this, it becomes possible to reduce the amount of calculations required for accurate assessment by a set of regulatory criteria, and also simplifies the assessment procedure without loss of accuracy.

The supervision and multi-sectoral guarantee mechanism of the global marine sulphur limit—assessment from Chinese shipping industry

To significantly reduce sulfur oxides emissions from fossil fuel-powered ships, reduce air pollution in ports and slow ocean acidification, the International Maritime Organization (IMO) has imposed the new 0.50%m/m limit (reduced from 3.50%m/m in the past) on sulphur in ships’ fuel oil. This has given rise to a host of issues regarding fuel replenishment operations, safe operation management, maritime regulation, and coordinated governance of air and climate. In response to ocean acidification and climate change, regulations on the use of low-sulfur oil or alternative fuels by ships greatly reduce sulfur oxide emissions, but have no significant impact on reducing greenhouse gas emissions. In fact, the refining process for low-sulfur fuels and the use of the gas cleaning system on ships both increase energy consumption and carbon dioxide emissions. To ensure the decarbonization process of shipping industry, there is an urgent need for a conceptual change in global ocean governance so as to promote the coordinated governance of air pollution and climate change. China’s conception of “a maritime community with a shared future” provides a new model for global ocean governance. The Chinese government has formulated regulations at different levels to promote the coordinated management of atmospheric pollutants and greenhouse gas emissions. Regarding supervision of sulfur oxide emissions from ships, this study proposes to build a multi-department collaborative supervision mechanism from marine fuel life cycle to enhance sulfur oxide monitoring and risk control capabilities. Specific measures of the proposed supervision mechanism include: the joint supervision of compliant fuel supply, the compliant fuel information disclosure platform, a joint law enforcement mechanism for atmospheric pollution, the ability of intelligent ship exhaust monitoring, and the construction of port power infrastructure.

การจัดลำดับความสำคัญของกลุ่มงานวิจัยในสาขาวิชาวิศวกรรมอุตสาหการและโลจิสติกส์ของไทยในยุคอุตสาหกรรม 4.0

This research aims to set the direction of research groups in Industrial and Logistics Engineering according to the evolution of Industry 4.0 era by applying Analytical Hierarchy Process (AHP). The applied AHP consists of 6 criterion which are research that promote and support the entrepreneur to develop commercial innovation, research that go along with Industry 4.0, research that go along with the development of Thailand Industry, research that challenge the interest of domestic entrepreneur, research that needed digital technology to support the operation and research that promote and support the competitiveness enhancement of Small and Medium Enterprises (SMEs) in Thailand. This research applies AHP to rank 12 research groups which are the group of operation research, the group of production and operation management, work study, plant layout, ergonomics and safety management, the group of quality management, the group of energy management, the group of green and sustainability in industrial engineering, the group of materials and manufacturing engineering, the group of supply chain and logistics, the group of innovation management and industrial technology transfer, the group of engineering management, the group of maintenance and reliability engineering and the group of other related topics to industrial engineering. The results from AHP show that the group of innovation management and industrial technology transfer, the group of green and sustainability in industrial engineering, the group of energy management and the group of supply chain and logistics are the research groups that need to be focused through 2 processes which are to promote and funding and to improve the related educational curriculum according to the direction of research groups.

Research on operation safety management of the belt conveyor in ore terminals

The ore conveying system of Rizhao Port Group Lanshan Port Co., Ltd is currently the most widely used system in China with large capacity pipe belt conveyors. Because the conveyor system has the characteristics of long path, high power, many types of components and many key control points, the safety management of the system is essential to production and operation. Through the introduction of system composition, management mode and technological innovation, this paper expounds the promotion effect of safety management and control mode reform, safety supervision technological innovation and maintenance process optimization on safety management of the conveyor system.

Maintenance and Management of High Slope of the Mountain Expressway

In order to effectively reduce the incidence of expressway operation safety accidents, one should pay attention to expressway safety management, especially high slope maintenance and management. In conjunction, with the current situation of operation safety management of some expressways, many mountain expressways have high slope incidences from time to time, due to the extension of operating time, and inadequate maintenance management. Moreover, vehicle damage, and human death accidents caused by the high slope collapse, landslide, debris flow, and other disasters are often reported. Therefore, it is essential to strengthen the maintenance and management of high slope in the mountain expressways. This paper, will further elaborate the issues, which are related to the maintenance and management of high slopes in the in mountainous expressways.

At the limit? Using operational data to estimate train driver human reliability

Human reliability analysis plays an important role in the safety assessment and management of rail operations. This paper discusses how the increasing availability of operational data can be used to develop an understanding of train driver reliability. The paper derives human reliability data for two driving tasks, stopping at red signals and controlling speed on approach to buffer stops. In the first of these cases, a tool has been developed that can estimate the number of times a signal is approached at red by trains on the Great Britain (GB) rail network. The tool has been developed using big data techniques and ideas, recording and analysing millions of pieces of data from live operational feeds to update and summarise statistics from thousands of signal locations in GB on a daily basis. The resulting driver reliability data are compared to similar analyses of other train driving tasks. This shows human reliability approaching the currently accepted limits of human performance. It also shows higher error rates amongst freight train drivers than passenger train drivers for these tasks. The paper highlights the importance of understanding the task specific performance limits if further improvements in human reliability are sought. It also provides a practical example of how big data could play an increasingly important role in system error management, whether from the perspective of understanding normal performance and the limits of performance for specific tasks or as the basis for dynamic safety indicators which, if not leading, could at least become closer to real time.

Analysis on Safe Operation Management of Pumping Station in Zunhua City Water Conservancy Project

Analysis on Safe Operation Management of Pumping Station in Zunhua City Water Conservancy Project

An adaptive safety-risk mitigation plan at process-level for sustainable production in chemical industries: An integrated fuzzy-HAZOP-best-worst approach

Safety-risk management in the hydrocarbon processing industry necessitates the availability of appropriate data and decision-making tools. Operational factors may influence chemical and physical risk occurrences associated with high-hazard plant operation in the chemical process sectors. Thus, safety-risk technologies and assessments should be explored considering potential events that result in fatalities, property destruction, economic loss, and environmental degradation. This research established a systematic framework for reducing safety risks to decrease accidents and hazards associated with the inherent production processes, as well as proposing process-level maintenance techniques for the specified hydrocarbon processing industry. First, the hazards of chemical reactivity were studied to determine which equipment performance poses the greatest risk. Physical and chemical risks were obtained to configure out identical nodes of expressing severe hazard via a qualitative assessment using the HAZOP study. The fuzzy best-to-worst technique combined with an analytical network process (fuzzy-BWANP) was utilized to assess the safety-risk criticality due to the operational reaction process, environmental risk, economical safety, and occupational management. Furthermore, the annual loss of expectancy and exposure factors for the earlier categories based on their operational expenses and failure time were estimated. The case study examined how to increase the process feasibility of an acrylonitrile plant. Consideration of economic loss resulted in the extraction of a risk index that helps decision-makers in determining priority tasks for addressing urgent hazards in any hydrocarbon processing industry's safety management.

A comprehensive stability evaluation method of multiple salt caverns underground gas storage with interlayers

Underground gas storage (UGS) is usually constructed in a formation with complex geological characteristics, which makes the operation monitoring and safety management of this facility more difficult. This paper aims to develop a method for comprehensive stability evaluation of multiple salt caverns UGS with interlayers. An index system is established as the foundation of the analysis for evaluation, which includes six important factors: cavity shape, operation pressure, interlayer parameters, surrounding salt rock parameters, mechanical properties, and cavity spacing. The improved analytic hierarchy process (AHP) and entropy method are used to calculate the subjective and objective weights of each index respectively. Then the index weights are constructed in the form of combination weights. The fuzzy membership function method is applied to obtain a quantitative evaluation result. Based on the established evaluation model, the stability level of four multiple salt caverns UGSs with interlayer are successfully evaluated. The results show that the stable states of the four UGS facilities are all good. There is only a slight threat of instability in UGS2, which has the defects of too many interlayers, too large interlayer thickness and too small space between adjacent cavities.

A Comprehensive Analysis Method of Urban Rail Transit Operation Accidents and Safety Management Strategies Based on Text Big Data

A Comprehensive Analysis Method of Urban Rail Transit Operation Accidents and Safety Management Strategies Based on Text Big Data

Application research of project teaching method in the course of safety management of urban rail transit operation

At present, China's vocational education curriculum is in the stage of profound change, project curriculum is an important leading concept of this change. This paper uses the methods of literature, interview and questionnaire survey, based on the investigation and analysis of the current teaching situation of "urban rail transit operation safety management "course, as well as the analysis of the enterprise professional post ability jointly cultivated with it outside the school, and then designs the four teaching objectives, concluding professional quality ability, professional core ability, professional post ability and professional development ability. Based on the specific project, the teaching content and process are reorganized. Finally, the teaching evaluation is optimized to be based on teaching objectives, multi-agent and multi-faceted evaluation, in order to achieve the optimal application of project teaching method in this course.

Концепция автоматизированной системы контроля технического состояния автобусов на основе видеорегистрации

The concept of an automated system for pre-trip monitoring of the technical condition of buses based on the video registration method is proposed. The approach to the analysis of the technical condition of the bus parameters is based on the representation of a digital image of the bus in the form of a matrix and the comparison of the characteristics of the matrix cells with the standard. The use of an automated system for pre-trip (and post-trip) monitoring of the technical condition of buses will help eliminate subjectivity in determining the technical condition of buses, allow to solve this problem in a few seconds, reduce labor costs and increase the level of bus operation safety management, which is important for large passenger bus companies.

Study of a nondestructive inspection system by guide wave traveling to axis direction of a hot pipe using a long ultrasonic waveguide

Corrosion inspection of high temperature pipes for heat exchange installed in gas turbine buildings is important for safe operation management. Ultrasonic inspection is one of the promising inspection methods, but ultrasonic sensor systems are vulnerable to high temperatures. In this research, we aim to use an ultrasonic sensor system in a normal temperature environment by using a long waveguide to overcome this problem. For that purpose, we report the results of the ultrasonic sensor ability installed in the long waveguide, the propagation characteristics of the waveguide, and the ultrasonic wave characteristics from the waveguide to the pipe.

Risk Chain and Key Hazard Management for Urban Rail Transit System Operation Based on Big Data Mining

With the promotion of the national transportation power strategy, super large operation networks have become an inevitable trend, and operational safety and risk management and control have become unavoidable problems. Existing safety management methods lack support from actual operational and production data, resulting in a lack of guidance of fault cause modes and risk chains. Large space is available to improve the breadth, depth, and accuracy of hazard source control. By mining multisource heterogeneous operation big data generated from subway operation, this study researches operation risk chain and refined management and control of key hidden dangers. First, it builds a data pool based on the operation status of several cities and then links them into a data lake to form an integrated data warehouse to find coupled and interactive rail transit operation risk chains. Second, it reveals and analyzes the risk correlation mechanisms behind the data and refines the key hazards in the risk chain. Finally, under the guidance of the risk chain, it deeply studies the technologies for refined control and governance of key hidden dangers. The results can truly transform rail transit operation safety from passive response to active defense, improving the special emergency rail transit operation plans, improving the current situation of low utilization of rail transit operation data, but high operation failure rate, and providing a basis for evidence-based formulation and revision of relevant industry standards and specifications.

Safe Operation Management and Maintenance Method of Electrical Equipment in Pumping Station

Safe Operation Management and Maintenance Method of Electrical Equipment in Pumping Station

Discussion on Safe Operation Management of Power Supply Transformer

Discussion on Safe Operation Management of Power Supply Transformer

How does subsea processing safety policy impact safety? Lessons learned from the Brazilian experience

This paper is about the influence of safety regulations on the way major accidents are identified and managed. A case study is presented based on the Brazilian experience in subsea processing units. The oil and gas industry is devoting increased interest to subsea processing due to the limitation of easily accessible oil and gas reservoirs. There are more than 48 units already installed in Brazil. Most of the safety requirements in Brazil's E&P policy are based on offshore units. However, for subsea structures, there are different risks, environments, and operational conditions. In 2015, Brazil presented a safety regulation named SGSS (Technical Regulation of Operational Safety Management System of Subsea System). This regulation explicitly addresses risers and introduces only general safety requirements to other subsea installations and equipment. Thus, this paper assesses the Brazilian subsea safety regulation and the results of this policy implementation through the Brazilian Petroleum Regulator (ANP) inspections and incident communications. The example demonstrates the inefficiency of the policy to promote safety. This paper then proposes simplifying regulations, introducing new technology requirements, and a technical committee to improve safety to subsea equipment.

Operational safety evaluation of tanker cargo oil system fusing multiple task information

The cargo oil system is an irreplaceable component of a tanker, of which the operational safety affects task completion. This study proposes an operational safety evaluation methodology for fusing multiple task information, which identifies the assessment level and abnormal points. Different data features are used to express the changes in the operating state at different time stages. To improve the performance of the method, the data monitoring error analysis technique based on distance and coefficient of variation approach are employed to deal with uncertainty and subjectivity. The optimal data reliability and comprehensive weight are then fed as input values to the Evidential Reasoning(ER) rule. The proposed operational safety evaluation methodology has been applied to the cargo pump system of a 49,000-ton tanker. Comparing with equipment maintenance records, the results of the proposed method can reflect the actual task safety condition and verify the feasibility and effectiveness. Furthermore, weak links and improvement measures present new insights for operational safety management for tanker corporations.

A new type-2 fuzzy multi-criteria hybrid method for rail transit operation safety assessment

Rail transit plays a very important role in the social and economic development of big cities. Its operational safety is of great significance for ensuring people’s lives and maintaining social stability. In this paper, the rail transit operation safety management framework is proposed and analyzed by considering the factors of organizational management, personnel management, equipment and facilities and operating environment together. Considering the fuzzy uncertainty in the process of the safety assessment of rail transit operation (SARTO) and the interrelationship and conflict among the criteria, a new hybrid model combining DEMATEL, ANP and VIKOR with type-2 fuzzy linguistic variables is proposed. The model can present the effect-cause relationship among the different main criteria by the type-2 fuzzy DEMATEL, obtain the weights of the sub-criteria by the type-2 fuzzy ANP and the risk assessment value of each metro line by the type-2 fuzzy VIKOR and give further suggestions for rail transit operation safety management. This novel hybrid methodology is used to evaluate operation safety of metro lines in Beijing, and the sensitivity analysis is also applied to analyze the robustness. For the accuracy and consistency with the actual situation check, the proposed type-2 fuzzy VIKOR method is compared with both TOPSIS method and MOORA method in interval type-2 fuzzy sets. The application of Beijing metro lines proves the feasibility and the practicality of the new hybrid method, which provides effective support for decision-makers in practice.

Design of Remote Monitoring System for Substation DC Power Supply under the Background of Big Data

The DC power supply(DPS) system is an important part of the substation. In order to adapt to the current unmanned operation and maintenance mode of the substation and the new requirements of state maintenance and management, it must develop in the general direction of digitalization, programming and intelligence. To ensure the safety and stability of the new operation and maintenance mode of the power system. Through the design and application research of the DPS remote monitoring system of the substation, the real-time data collection of the domestic DPS device is realized, the collected data information is summarized, and the cooperation of the remote control center and related operation and maintenance management teams is requested. The management software effectively analyzes the collected equipment operating parameters and real-time data, extracts fault information and hidden dangerous data required for operation and maintenance, which is helpful for the scientific management and risk prediction of DC power equipment in substations. The operation and maintenance personnel and the DPS system of the substation ensure the operation in a high-quality and healthy state and the safe and stable operation of the entire power network. This paper studies the design principle, structure and function of the DPS remote monitoring system used in the substation. On this basis, in-depth study of battery voltage equalization technology, internal resistance measurement technology and other core technologies related to DPS remote monitoring system design. In order to realize the online monitoring, analysis and diagnosis of the operation information data of DPS devices such as remote charging and discharging operation safety management strategy, DC power information collection and communication network design, the theoretical and technical foundations have been formulated.