Arrangement Of Stations Research Articles

Исследование подходов к обустройству инфраструктуры для временного отстоя вагонов на железных дорогах России в различные исторические периоды

Purpose: to determine the relevance of the problem of temporary storage of cars on Russian railways in various historical periods. Consider methodological approaches aimed at eliminating this problem, as well as technical and technological measures. Assess how well the problem of temporary storage of wagons has been developed to date. Methods: when performing the study, the method of retrospective analysis was used. To conduct a retrospective analysis, scientific publications, regulatory documents, educational publications and other literary sources were used. Results: using the provisions of literary sources, the negative impact of excess or concentration of cars in certain places of the railway network on the normal operation of railway transport as a whole has been confirmed. It has been established that the most typical problem of temporary parking of cars is for stations of the railway network located in areas interacting with water transport. For various historical periods, the applied methodological approaches and measures were identified aimed at organizing the temporary parking of cars in order to increase the efficiency of railway transport. Practical importance: the completed study confirmed the relevance of the problem of organizing temporary storage of cars on Russian railways in various historical periods. It has been established that for the current stage of development of railway transport, the most rational solution is the arrangement of special stations for the temporary storage of cars.

Optimization of classification model for electric vehicle charging station placement using dynamic graylag goose algorithm

The study of electric vehicles (EVs) aims to address the critical challenges of promoting widespread adoption. These challenges include EVs’ high upfront costs compared to conventional vehicles, the need for more sufficient charging stations, limitations in battery technology and charging speeds, and concerns about the distance EVs can travel on a single charge. This paper is dedicated to designing an innovative strategy to handle EV charging station arrangement issues in different cities. Our research will support the development of sustainable transportation by intelligently replying to the challenges related to short ranges and long recharging times through the distribution of fast and ultra-fast charge terminals by allocating demand to charging stations while considering the cost variable of traffic congestion. A hybrid combination of Dynamic Greylag Goose Optimization (DGGO) algorithm, as well as a Long Short-Term Memory (LSTM) model, is employed in this approach to determine, in a cost-sensitive way, the location of the parking lots, factoring in the congestion for traffic as a variable. This study examines in detail the experiments on the DGGO + LSTM model performance for the purpose of finding an efficient charging station place. The results show that the DGGO + LSTM model has achieved a stunning accuracy of 0.988,836, more than the other models. This approach shapes our finding’s primary purpose of proposing solutions in terms of EV charging infrastructure optimization that is fully justified to the EV’s wide diffusion and mitigating of the environmental consequences.

REGULATIONS OF THE FORMATION OF PROTECTIVE POTENTIAL OF UNDERGROUND STEEL PIPELINES UNDER CONDITIONS OF HETEROGENEOUS ENVIRONMENT

In the work, the modeling of the distribution of the protective potential of electrochemical protection stations is performed by revealed functional dependencies. The initial conditions are adopted for a typical assortment of rolled metal used for underground gas supply. At the initial stage of modeling, the stochastic nature of the change in soil parameters is not taken into account. The distribution of the protective potential of the underground pipeline as a function of two variables (time and distance) showed the mutual influence of neighboring stations on the formation of protective zone. New dependences of the operating parameters of the electrotechnical complex of electrochemical protection on the set of variables characterizing the power source, the physical dimensions of pipeline and the alternative arrangement of active cathodic protection stations (CPS) were obtained. Experimental studies of the modes of electrochemical protection stations at the objects of the gas transportation system of Ukraine confirmed the adequacy of the proposed analytical models. References 16, Figures 3.

The main problems of the functioning of existing water supply and water distribution systems in Ukraine

The article analyzes the urgent problems of water supply and drainage, separately in wartime conditions. To solve them, a new scientific approach is proposed, the final result of which will be a single method for optimizing the water supply and drainage systems of settlements. Mandatory components of this methodology are proposed: design and construction of duplicate water supply and drainage systems of settlements, organization of installation and arrangement of pump stations as spare independent water supply systems of settlements. Scientific substantiation of alternative scenarios for individual populated points is proposed, of which the most optimal scenario for the sustainable operation of the system in the long term will be recommended to the local self-government body. In addition, it is proposed for settlements to carry out a risk analysis with the filling of forms according to which water supply and drainage enterprises will work.

Optimization of the Operation Plan of Airport Express Train with Consideration of Train Departure Time Window

This paper proposes an optimization model for the train operation scheme of the Airport Express Line (AEL) based on the expected arrival time of passengers by the introduction of the train departure time to cope with the time‐dependent passenger flow and provide better prompt train service according to passengers’ demand. Considering factors such as train sections, station arrangement, passenger capacity, departure time windows, passenger flow conservation, and boarding and disembarkation processes, this paper also aims to find the optimal combination of the passengers’ total travel time and the train operation cost. A set of alternative train options is introduced to simplify the model and convert integer variables related to train pairs into 0‐1 variables. The elaborately designed simulated annealing algorithm mainly focuses on the key elements of strategies like initial solution generation, neighborhood solution construction, and the allocation of passenger flows, tailored to the model’s unique features and the time‐dependent passenger flow. Neighborhood solution strategies include the increase or haut of train operations and the adjustment of the number of stops, which refines the solution space and boosts the process efficiency of the heuristic algorithm. Additionally, the model and algorithm proposed in this paper are practiced during the peak hour of Nanjing Metro Line S1 for empirical validation. The research findings demonstrate that the optimized train operation scheme is better synchronized with the fluctuating number of time‐dependent passenger flows and exhibits notable improvement in computational efficiency and convergence.

Ambient noise tomography of a linear seismic array based on an improved Voronoi tessellation

Ambient noise tomography, when applied to a dense linear seismic array, has the capability to provide detailed insights into the fine velocity structures across diverse tectonic settings. The linear station arrangement naturally generates parallel and concentrated ray paths along the array trend. This unique geometry requires specific optimization of the inversion methodology and model parameterization. The Bayesian-based transdimensional inversion method, characterized by its fully non-linear nature and high degree of freedom in parameter settings, offers a powerful tool for ambient noise inversion. To effectively adapt this method to a linear array layout, we propose a modification to the Voronoi cell tessellation built in the transdimensional method. By introducing spatial priority to the Voronoi kernels, we strategically increased the density of Voronoi cells along the direction of the array. We then applied the modified approach to a linear seismic array in the North China Craton and validated its robustness through phase velocity images and resolution tests. Our improved non-uniform sampling technique in the 2-D model space accelerates convergence while simultaneously enhancing model accuracy. Compared with the conventional damped least-squares method, the proposed algorithm revealed a shear-wave velocity map with notable low-velocity anomalies situated in the middle and lower crust beneath the borders of the Ordos block and its surrounding orogenic belt. Aligned with the crustal structures revealed by receiver function and electrical imaging, our findings indicated that the western and eastern margins of the Ordos block had experienced intensive crustal wedge deformation and re-melting, respectively.

Intelligent monitoring of water quality based on image analytics

Owing to the limitations of the spatial arrangement of monitoring stations and time acquisition of satellite remote sensing images, the water quality monitoring of rivers, especially small- and medium-sized rivers, cannot be satisfied in terms of time and space continuity. In this study, we propose a standardization method for the camera images derived at different locations on different time considering the influences of light, shadows, reflections, ripples, leaves and so on. After this algorithm is established, an estimation algorithm based on the comprehensive appearance of water body is proposed, which has the potential of realising real-time, mobile, and continuous monitoring of water quality with low costs. The test results showed that the accuracy of the model was quite high compared to the results of the hydrological monitoring stations. Compared with the single-point detection of water quality monitoring stations, this method has advantages in terms of dynamic detection and small- andmedium-sized water body detection, which can serve as a supplement to traditional detection.

Station Arrangement Optimization of Photoelectric Theodolites Based on Efficient Traversing Discrete Points

Station arrangement optimization of photoelectric theodolites in shooting ranges presents a non-convex and non-linear problem, and the method required to seek the global optimal solution remains an open question. This paper proposes an efficient traversal algorithm that could solve this problem by utilizing discretization of regions with a finite length of mesh, in which both the terrain of the station arrangement region and the observation airspace region are discretized through triangulation. To enhance the computational efficiency of the traversal algorithm, two strategies are employed to speed up the calculation: reducing the dimension of the observation airspace and using the Euclidean distance matrix to compute the intersection angle. After the global optimal solution with discrete finite precision was obtained through the traversal algorithm, it was then used as the initial points for local mesh refinement and to implement gradient-based optimization in order to further improve the precision of the solution. The proposed approach is demonstrated to be practical through application to numerical examples used for the optimization of station arrangements that involve two to four stations.

Optimization of track distribution of industrial railway stations between car designations

Purpose. To improve the method for distributing the tracks of industrial railway stations for the accumulation of car groups between separate assignments. The optimization problem is to find such a distribution of classification work between the industrial marshalling yard and freight stations, as well as such a distribution of marshalling yard tracks between individual destinations, which ensures the minimum time expenditures on shunting work. Methodology. The studies were carried out using the methods of the theory of railway operation, simulation modeling and dynamic programming. Findings. The optimization problem of distribution of sorting work between the marshalling yard and freight stations of an industrial enterprise, as well as searching for such a distribution of marshalling yard tracks between individual destinations, which ensures the minimum time expenditures for shunting work, has been solved. Originality. The paper proposes a method for formalizing and solving the problem of distributing the tracks of industrial railway stations for the accumulation of car groups between individual destinations as a dynamic programming problem. Unlike the existing methods, where the number of tracks is considered as a constraint, in the proposed method, the number of tracks is an objective function argument of minimizing the duration of shunting operations, which improves the quality of the solutions obtained. Practical value. The method proposed in the paper, due to the rational distribution of the existing track arrangement of railway stations, makes it possible to reduce the time expenditures on the making- and breaking-up the trains and shunting transfers and, due to this, increase the carrying capacity of the stations, as well as reduce the cost of production of enterprises.

Research on Urban Fire Station Layout Planning Based on a Combined Model Method

With the rapid development of urbanization, fire risk factors have increased greatly, indicating a higher requirement for urban firefighting security. Fire rescue capabilities can be effectively improved by the scientific layout of fire stations, and therefore, the optimal spatial arrangement of fire stations has practical implications for urban safety. In this paper, a method for planning the locations of urban fire stations is presented, taking into account the fire risk points of interest (POIs) data, road networks and fire station planning principles. The combined model method is validated against the nearest facility point model, and the service area model is proposed for the coverage of POIs and regional areas of planned new sites. The efficacy of the model is demonstrated through an improvement in the coverage of crosspoints of the regional area and points of interest (POIs), with increases of 10.20% and 12.43%, respectively. We applied the combined model method to Fengdong New Town, Shaanxi Province, China. A total of 11 new potential sites were proposed to improve the efficiency of spatial coverage, and subsequently, the coverage rate of the POIs and regional area reached 97.66% and 84.80%, respectively. This study provides application guidelines for the decision-making of fire services and the allocation of firefighting resources.

Graph Neural Network Encoder for Layout Planning and Scheduling in Line-less Mobile Assembly Systems

Facing the trade-off between the customer's needs and the shift towards sustainable production pressure challenges companies to make their production systems more flexible. Line-less mobile assembly systems (LMAS) implement the needed adaptivity through flexible job routes, multi-purpose resources, and flexible transportation systems. A completely reactive layout through (re-)arrangement of stations with mobile resources allows for reconfigurations without interrupting production. Deep reinforcement learning algorithms are needed to dynamically solve the integrated layout optimization and scheduling problem in LMAS. Within LMAS, stations can be added to the assembly system, or the number of jobs and technologies in the system can vary. Thus, reinforcement learning control agents must produce actions for problem instances of varying sizes. Therefore, an encoder is needed to enable the scheduling policy to handle the differently sized system state descriptions. This paper presents an encoder for LMAS using a Graph Neural Network (GNN). The developed algorithm is trained using a Discrete Event Simulation and validated based on several use cases. As a result, the developed encoder allows for system state representation over all use cases.

Study on Fire Smoke Distribution and Safety Evacuation of Subway Station Based on BIM

A subway station is a confined space, so it is very important to evacuate people safely in case of a fire. It is necessary to study and analyze the smoke distribution and evacuation ability of different station layout schemes when fire occurs. Taking a subway station as an example, this paper combines BIM (Building Information Model) technology with the fire safety evacuation of the subway station. First, we optimize the layout of the public area of the subway station and use BIM technology to establish a subway station model. Then, we use the PyroSim software to establish a subway station fire model to analyze fire development in different locations of the station in the optimization scheme, and determine the time it takes for CO concentration, smoke temperature and visibility to reach the critical value of danger. Finally, a subway station fire evacuation model is established using the Pathfinder software to study the safety evacuation of people in the subway station fire. The results show that it takes the shortest time for the visibility in the station to reach the critical value under fire conditions, and the threat to safety evacuation is the greatest. The available safe evacuation time of the optimized subway station is greater than the required safe evacuation time under different fire conditions, that is, the optimized subway station arrangement can ensure the safety evacuation of the personnel in the subway station under fire conditions. The research results can serve as reference for the optimization of safety evacuation designs of similar subway stations.

Determination of the optimal location of power plants as a part of an autonomous power supply system based on renewable ener-gy sources

The paper proposes the problem solution of optimal location determining of several power stations in some region. These stations receive primary energy from renewable sources, such as solar panels and wind turbines. At the same time, the condition of the problem includes the availability of information on several perspective areas in this region for the placement of such power stations, as well as information of values and distribution of loads. The developed algorithm for solving of the optimal location selection problem of power stations consists of several stages. The content of the first stage of the algorithm is ranking of possible areas for the location of power stations using local criteria, which are proposed as the specific estimated cost of station arrangement, the remoteness of the proposed location of the power station from loads and settlements. The second stage of the algorithm consists in a set formation of possible areas for the location of stations. And at the final stage of the algorithm, they are ranked using system criteria that evaluate these sets of areas for the location of power stations as a power supply system. The estimated cost of a power supply system arrangement based on power stations, located on areas of the rated set, the specific estimated cost of power stations arrangement, applied to the set of power stations with power lines as an autonomous power supply system, as well as the average rating of areas are proposed as system criteria. In this case, the decision maker, after familiarizing with values of system criteria, sets critical boundaries for each of them. The result of the algorithm is a certain totality of prospective sets for the location of several power stations in a given region, estimates of which according to system criteria are the best correspond to preferences of the decision maker. A feature of the proposed approach is the participation of the decision maker at all stages of design.

Perancangan Ulang Tata Letak Fasilitas Pabrik (Re-Layout) PT.XYZ

The company is a medium scale company, although the medium scale company has used modern equipment. Such as lathes, milling machines, hydraulic press machines, iron cutting machines (benso), iron/steel plate press machines, steel/iron bending machines and others. Meanwhile, the arrangement of stations or existing production machines is still irregular and causes the production floor to be scattered and ineffective as well as inefficient spatial planning in the production process so that this affects the operator, maximizing output and time. The research method is carried out with systematic steps that are arranged and determined before solving the problem. The initial research stage is calculating the utility of the distance between stations and machines using ARC and ARD, then making improvements to the layout from the initial layout in order to achieve the research objectives. The purpose of this study is to propose an efficient layout and flow of material handling in order to reduce time in the tailgate production process. The number of departments or rooms, namely 12 departments needed in planning the linkage of activities, namely production room, storage room, rest room and first aid kit, generator room, office space, private motorbike and car parking, truck and trailer truck parking, drying area, truck unloading area, Places of Worship, Security Post, and Toilets.

Reactive online scheduling of mobile resources for adaptive layout evolution in line-less assembly system

Assembly systems are required to be more flexible due to unpredictable resource and demand fluctuations. Line-less assembly systems (LAS) implement flexible job routes through multi-purpose resources and flexible transportation systems. Moreover, a completely reactive layout through (re-)arrangement of stations with mobile resources enables reconfigurations without interrupting production. A scheduling that can handle the complexity of dynamic events is necessary to plan job routes and control transportation in such an assembly system. Since the system layout and the job scheduling influence each other, only an integrated view of layout planning and scheduling implements a reactive system behaviour. Existing pre-planning methods with fixed cycle times are not designed for reactive layout optimization during line-less assembly operations with mobile resources. Therefore, the contribution of this paper is an integrated online optimization architecture for layout evolution using mobile resources and simultaneous job scheduling to increase the efficiency of LAS. The optimization is implemented using modular matching and scheduling algorithms considering temporary station setup states and parallel processing based on zone restrictions. The proposed algorithms are connected to a modular discrete-event simulation and scenario analysis tool of LAS. The simulation and control architecture is validated by applying an industry-based use case. The reactive layout evolution, including station exchanges and mobile resource repositioning are benchmarked with nonflexible control methods. Results show that the developed control system allows for shorter average lead-time and increased throughput and utilization of (mobile) resources.

Tool segment repositioning minimization for bending operations

In recent years, most press brake manufacturers have developed systems for automatic machine setup. During a setup operation, a machine layout is built both through loading and unloading of new segments and through repositioning of previously loaded segments. To decrease the number of time-consuming repositioning operations and thus increase the efficiency of those systems, this contribution investigates the optimal arrangement of tool stations and segments. Two different heuristics are proposed to solve this yet unexplored complex problem and their performance is compared.

Constructing social networks from automated telemetry data: A worked example using within‐ and across‐group associations in cooperatively breeding birds

Abstract Advances in data‐logging technologies have provided a way to monitor the movement of individual animals at unprecedented spatial and temporal scales. When used in conjunction with social network analyses, these data can provide deep insight into the structure and dynamics of animal social systems. Emergence of these new technologies demands concomitant progress in workflows to translate data streams from automated systems to social networks, based on biologically relevant metrics. Here we outline key considerations for constructing social networks from automated telemetry data. We highlight the need for paying particular attention to the spatial arrangement of receiver stations with respect to the ecology of study system and developing appropriate criteria for quantifying associations. We provide a case study for constructing social networks from automated telemetry data collected over 1 month during a study of acorn woodpeckers Melanerpes formicivorus, a cooperatively breeding bird. The data consisted of detections of known birds near receiver stations placed within core areas of group territories. We use this system to demonstrate how to build social networks to investigate biological questions about patterns of associations between group members and territory visitors across the landscape.

Method of integro-differential equations for interpreting the results of vertical electrical sounding of the soil

The paper is devoted to the problem of determining the geoelectric structure of the soil within the procedure of testing the grounding arrangements of existing power plants and substations to the required depth in conditions of dense development. To solve the problem, it was proposed to use the Schlumbergers method , which has a greater sounding depth compared to the Wenner electrode array. The purpose of the work is to develop a mathematical model for interpreting the results of soil sounding by the Schlumberger method in the form of a four-layer geoelectric structure. Methodology. To construct a mathematical model, it is proposed to use the solution of a particular problem about the field of a point current source, which, like the observation point, is located in the first layer of a four-layer soil. Based on this expressions, a system of linear algebraic equations of the 7-th order with respect to the unknown coefficients ai and bi was compiled. On the basis of its analytical solution, an expression for the potential of the electric field was obtained for conducting VES (the point current source and the observation point are located only on the soil surface). Results. Comparison of the results of soil sounding by the Schlumberger installation and the interpretation of its results for the same points shows a sufficient degree of approximation: the maximum relative error does not exceed 9.7 % (for the second point), and the average relative error is 3.6 %. Originality. Based on the obtained expression, a test version of the program was implemented in Visual Basic for Applications to interpret the results of VES by the Schlumberger method. To check the obtained expressions, the interpretation of the VES results was carried out on the territory of a 150 kV substation of one of the mining and processing plants in the city of Kriviy Rih. Practical significance. The developed mathematical model will make it possible to increase the sounding depth, and, consequently, the accuracy of determining the standardized parameters of the grounding arrangements of power stations and substations.

Optimized H2 fueling station arrangement model based on total cost of ownership (TCO) of fuel cell electric vehicle (FCEV)

Environmental issue such as global warming caused serious natural disasters such as flood and drought due to CO2 emission. Global countries cooperate to address the global warming represented by Paris Agreement, which encouraged actions to restrict CO2 emission and global average temperature increase. H2 has been received more attention than before due to its eco-friendly property. Fuel cell and fuel cell electric vehicle (FCEV) are the widely used H2 application in terms of energy and transportation sector. However, most of the researches were carried out related to H2 supply chain. In hence, in this study, economic analysis considering total cost of ownership (TCO) of FCEV was conducted and correlation between TCO and market share of FCEV was figured out by drawing a regression curve. Finally, an optimization model was developed to obtain the optimal H2 fueling station arrangement model in case of 2022, 2030, and 2040 depending on learning rate (8, 13, and 18%).The $ 46,444.2 of TCO was computed considering three years of ownership length. In addition, 4.3, 31.7, and 94.0% of maker share in 2040 were reached in case of 8, 13, and 18% of learning rate, respectively. Finally, it was unveiled that H2 fueling station is preferred to construct equally in nation and the construction region will be shifted to a higher population density region as time passed.

Site Selection of Fire Stations in Large Cities Based on Actual Spatiotemporal Demands: A Case Study of Nanjing City

The rapid expansion of cities brings in new challenges for the urban firefighting security, while the increasing fire frequency poses serious threats to the life, property, and safety of individuals living in cities. Firefighting in cities is a challenging task, and the optimal spatial arrangement of fire stations is critical to firefighting security. However, existing researches lack any consideration of the negative effects of the spatial randomness of fire outbreaks and delayed response time due to traffic jams upon the site selection. Based on the set cover location model integrated with the spatiotemporal big data, this paper combines the fire outbreak point with the traffic situation. The presented site selection strategy manages to ensure the arrival of the firefighting task force at random simulated fire outbreak points within the required time, under the constraints of the actual city planning and traffic situation. Taking Nanjing city as an example, this paper collects multi-source big data for the comprehensive analysis, including the full data of the fire outbreak history from June 2014 to June 2018, the traffic jam data based on the Amap, and the investigation data of the firefighting facilities in Nanjing. The regularity behind fire outbreaks is analyzed, the factors related to fire risks are identified, and the risk score is calculated. The previous fire outbreak points are put through the clustering analysis, the spatial distribution probability at points in each cluster is calculated according to the clustering score, and the random fire outbreak points are generated via the Monte Carlo simulation. Meanwhile, the objective emergency response time is set as five minutes. The average vehicle speed for each road in the urban area is calculated, and the actual traffic network model is built to compute the travel time from massive randomly-distributed simulated fire points. The problem is solved by making the travel time for all simulated demand points below five minutes. At last, the site selection result based on our model is adjusted and validated, according to the planned land use. The presented method incorporates the view of the spatiotemporal big data and provides a new idea and technical method for the modification and efficiency improvement of the fire station site selection model, contributing to a service cover ratio increase from 58% to 90%.