Equipment Units Research Articles

Empowering energy conservation: A prototype of household energy consumption monitoring based on Internet of Things

Abstract One of the obstacles to control household energy consumption is unavailability electricity instruments/tools to monitor electricity energy consumed by appliances causing a lack of awareness of household energy saving. Energy meter installed on buildings only show electricity consumption in total. This study aims to design and create a prototype system that can monitor and control the electrical appliances usage utilizing the Internet of Things (IoT)-based electronic devices where electricity usage data is stored in Firebase real-time database. The methods carried out are arranged in several stages, starting from data collection, design, configuration, and implementation. The tools used in this research will utilize the ESP8266 as the microcontroller, the PZEM-004T as current sensor and the Blynk as the web server. The tool will send current voltage (Volt (V)) and capacity (Watt (W)) data and then converted to energy and also the costs incurred from electricity usage based on the basic electricity tariff of National Electricity Company (PLN) and the results can be seen directly through IoT (i.e. smartphone, PC, laptop). The accuracy of power measurement by the system is 97.4% compared to measurement used by watt-checker. The results of this study show that an electrical power monitoring system makes people easier to monitor electrical power consumption by appliances used. The pilot measurement shows that a unit system can monitor electricity usage for four units of electronic equipment i.e. water pump, Television, fridge, electrical iron, rice cooker, etc. precisely and succeeded to control and increase energy saving awareness to reduce electricity consumption at the end.

MSTAN: multi-scale spatiotemporal attention network with adaptive relationship mining for remaining useful life prediction in complex systems

Abstract In the era of smart manufacturing and advanced industrial systems, the high degree of integration and intelligence of equipment demands higher reliability and safety from systems. Existing methods often rely on historical data for Remaining Useful Life (RUL) prediction to achieve Prognostic and Health Management (PHM). However, the internal units of complex equipment exhibit significant spatial correlation and temporal diversity, making PHM for complex equipment a multidimensional challenge involving both temporal and spatial information, thereby severely limits the effectiveness of RUL prediction for complex systems. Addressing these challenges, this study introduces a multi-scale spatiotemporal attention network with adaptive relationship mining, specifically designed for the remaining useful life (RUL) prediction of such equipment. The core of the proposed method lies in the multi-scale feature perception module, which adeptly extracts varied scale features from multidimensional sensor data. Following this, an innovative adaptive relationship mining module is integrated to uncover multi-order coupling relationships between diverse sensors, enhancing the model’s predictive accuracy. Furthermore, a spatiotemporal attention module is employed to discern and emphasize crucial spatiotemporal correlations. To validate the effectiveness and superiority of the proposed method, the Commercial Modular Aero-propulsion System Simulation (C-MAPSS) dataset is employed for comprehensive performance evaluation, the IEEE 2012 PHM bearing dataset is also adopted to demonstrate the generalization and robustness of the proposed method. The results not only show a notable improvement over existing methods but also offer a more intuitive understanding through visual representations, marking a significant stride in enhancing the safety and efficiency of complex systems.

A novel fault detection and identification method for complex chemical processes based on OSCAE and CNN

The safety and reliability of chemical processes are of paramount importance. However, due to the complicated heat, mass, and momentum transfer processes coupled with chemical reactions, and the interrelated effects among various equipment units, it is difficult to accurately detect and identify faults occurring in the chemical system. This study proposes an innovative fault diagnosis framework specifically designed for chemical systems. A method based on orthogonal self-attention convolutional autoencoder (OSCAE) is constructed for fault detection. The convolutional autoencoder is combined with an orthogonal attention mechanism to extract time-series characteristic information of the operational state, thereby achieving precise detection of fault conditions. Additionally, a convolutional neural network (CNN) model uses both raw signals and data reconstructed by OSCAE to identify different faults, which enhances the features of the input and enables highly accurate fault identification. The effectiveness and robustness of the propose method is validated with simulation data of our self-established chemical distillation system and the publicly available Tennessee Eastman process system. The diagnosis efficacy in fault detection and identification is validated by applying fault detection metrics, high-dimensional feature visualizations, and confusion matrix analyses across two case studies. This paper not only provides an effective diagnostic framework for chemical systems but also offers a usable benchmark dataset for chemical distillation systems to the academic community, with the hope that the research content can enhance the stability and reliability of chemical processes.

Management Inventory Control Kaizen of Using Continuous Review Policy in a PT XYZ commercial vehicle at Jakarta City, Indonesia

This research aims to analyze the problem of excess spare parts inventory in commercial vehicle equipment units in the company's inventory and ordering times to avoid excess goods in the warehouse. Using the ABC classification inventory model and continuous monitoring policy, spare parts stock is calculated to compare ideal average inventory levels (AIL) and actual values. ABC analysis classification also has the advantage of identifying items that are feasible and have the potential to be reduced from inventory. From the analysis we conducted, we found that the company has the potential to reduce almost IDR 32,979 billion or 27.80% of excess inventory levels by using a continuous review policy as the basis of the inventory control calculation system. Keyword: ABC Analysis, Commercial vehicle, Inventory

Numerical investigation of the transient fluid flow and heat transfer behavior in self-driven natural circulation cooling loop

An innovative open natural circulation system is proposed in this work, which utilizes the difference of the heat flux loaded on different parts of the pipe to form a self-circulation flow of working fluid. Via CFD simulation established by embedding self-programmed code into commercial software, the transient performance of a three-dimensional natural circulation loop is studied. The results indicate that: applying uniform heat flux on the wall of the loop, the fluid flow state successively experiences three stages, i.e., liquid expansion, partial circulation, and phase change, and finally a vapor plunger blocks the pipe, leading to local heat transfer deterioration and temperature increase; applying non-uniform heat flux, the fluid can be driven to form self-circulation flow, which can not only cool the structure via convection, but also prevent bubbles from accumulating, stabilizing the maximum temperature of the system around the boiling point; further for the loop with a more complex configuration, the self-circulation can be also started but with different start modes. Therefore, the new natural circulation system can achieve effective and adaptive cooling according to the external thermal environment, avoid fluctuation and vapor block phenomenon caused by violent phase change, and reduce the driving equipment and control unit. This work provides a reference for the design of the natural circulation system applied in a non-uniform heating environment. Through transient numerical simulation of the start-up stage, the fluid flow, phase change, and heat transfer characteristics in the natural circulation loop are studied, and the start mode and mechanism are analyzed.

Энергосбережение и оценка энергоэффективности угледобывающего предприятия

The article is devoted to consideration of issues related to assessing the energy efficiency of a coal mining enterprise. Coal mining enterprises are characterized by a large volume of energy intensive ore mining operations. The article presents possible ways of energy saving in the mining industry. During the research, a system of energy efficiency indicators for coal mining enterprises is presented. Materials and methods. The article proposes a system of indicators for coal enterprises based on existing methods and approaches to assessing energy efficiency. Energy consumption dependence graphs, benchmarking, and pinch analysis are considered as a starting point. Results. The study presents a system of energy efficiency indicators for coal mining enterprises. The proposed system has several levels. The existing methods and approaches for assessing this important indicator for industrial enterprises in the coal industry as a whole are considered. The author’s approach to formalizing the system of energy efficiency indicators for coal mining enterprises is proposed. The significance of energy audit as a key assessment measure is indicated and its stages are highlighted. The influencing factors determining energy costs and their reduction for a coal mining enterprise are systematized, barriers preventing the practical implementation of energy saving measures are analyzed. Discussion. The proposed metrics system provides a comprehensive framework for assessing the energy efficiency of coal mining enterprises at various levels. Its flexibility allows it to be applied to the analysis of individual equipment units, production processes, and overall enterprise performance. Its multi-level approach provides a detailed understanding of energy consumption, which allows for informed decision-making to optimize operations. At the equipment level, the metrics system evaluates the energy consumption and efficiency of individual machines and devices. At the production process level, the metrics system analyzes the energy consumption and efficiency of various stages of coal mining. At the enterprise level, the metrics system provides a comprehensive assessment of overall energy efficiency. It takes into account energy consumption at all levels and allows enterprises to compare their performance with each other and with industry benchmarks. Conclusion. Energy efficiency assessment of a coal mining enterprise allows to understand how and where energy is used, where its use can be improved, and how to reduce its costs. To conduct an energy efficiency assessment, the article proposes a system of indicators, highlighting the features of an energy audit. The main advantage of the proposed system of indicators is that it covers a wide range of energy consumption indicators, which are carefully selected and located at different levels of detail. In general, a balanced approach to the level of detail and generalization in the system of indicators provides flexibility in adapting indicators to specific research questions and helps to interpret the results in the context of structural differences between energy systems. Resume. Overall, the proposed metrics system offers a comprehensive approach to analyzing the energy efficiency of coal mining enterprises, covering all levels of operations. Its use allows enterprises to improve energy efficiency, reduce operating costs, and contribute to a more sustainable coal mining industry. Suggestions for practical applications and directions for future research. The use and implementation of the developed system at a coal mining company allows it to improve energy efficiency, reduce operating costs and contribute to a more sustainable coal mining industry.

Горячее деформирование корпусных заготовок в изотермических условиях

Core operations with hollow products, having a periodically changing internal profile, consists in the final machining of press forgings. However, at the same time, metal rejects are high, and despite the high quality of the products obtained, their mechanical characteristics do not always meet the requirements of functioning. For the equipment units, when subjected to heavy loads, the parts are usually made of high-strength materials. Due to the complexity of the work on a workpieces made of high-strength alloys, operations are carried out with heating of the deformed zone of the in-process part or with a total heating. The use of slow deformation in the hot state under certain speed conditions is promising. The process of the internal pattern formation for hollow shells made of titanium alloy VT6 is viewed. These products are mainly used as various airframes and are made using special methods of mechanical engineering. Due to the use of high-strength billet materials, there are difficulties with the mechanization of the production methods. The article evaluates force conditions for generation of geometry on the shells based on CAE modeling. The simulation was performed in the deform complex. The focus of the research was on the assessment of deformation forces and stress intensities. The influence of deformation ratio, strain rates, punch geometry on the strength of the process and stress intensity has been revealed. A regression equation to estimate the forces of the process is deduced. Recommendations on the design of fillets forming operations have been obtained. Deformation modes aimed at achieving rational power modes, respectively, loads on the tool, which indirectly affects its durability, as well as the stress condition in the product, have been found.

МАТЕМАТИЧЕСКАЯ МОДЕЛЬ ОРГАНИЗАЦИИ ТЕХНИЧЕСКОГО СЕРВИСА

A wide range of agricultural machinery in need of high-quality maintenance throughout the entire operational period to ensure uninterrupted and efficient operation is one of the most important links in the agro-industrial complex. (Research purpose) The research purpose is developing a mathematical model showing the relationship between the conduct of maintenance activities and the unit of equipment of the agricultural fleet; within the framework of the obtained mathematical model, deriving a criterion assessment of the quantitative conduct of maintenance. (Materials and methods) Indicated that such estimates can be obtained by applying mathematical modeling. A mathematical model was constructed using a visual diagram reflecting the relationship between the machines of the agricultural park, types of maintenance, elements of set theory and mathematical analysis. We used the theory of sets, which allowed us to move from the units of equipment of the fleet of agricultural machines to an analytical representation of realities and derive a constant that gives an assessment of maintenance depending on the number of activities carried out during the time interval under consideration. (Results and discussion) It was noted that it is necessary to improve the quality of maintenance by improving the control of its implementation in real conditions. The novelty of this work consists in the originality of the obtained scheme linking the types of maintenance and the machines of the agricultural fleet, without being tied to the number of units of equipment; in the development of a mathematical model that allows, using theoretical calculations, contributing to improving the control of maintenance activities by obtaining a universal constant that quantifies for any type of equipment and maintenance. The theoretical results were tested using the Kirovets-739 tractor as an example. (Conclusions) We obtained a schematic representation of the relationship between the components of the machine and tractor fleet and a numerical estimate reflecting the number of completed scheduled maintenance steps during the time period under study when using mathematical methods in the organization and conduct of maintenance.

Optimasi Produktivitas Alat Angkut Berdasarkan Produksi Bijih Emas Pada Volumetric Loader Crushing Plant

Hauling is a very important process in the mining industry. Transport activities are not only carried out at the mine front, but there is also the transport of processed materials such as transporting gold ore from the crushing plant to the dumping area. The heavy equipment used in this process is divided into two, namely loading equipment and transportation equipment. The loading equipment used is a volumetric loader, while the transportation equipment used is a medium dump truck with a vessel capacity of 40 tons. This moving activity certainly requires determining the number of transport equipment to balance the productivity of the loading equipment used by analyzing the units used. Productivity analysis is very necessary to determine the achievement of a production which will also be influenced by the match factor between loading equipment and transportation equipment. The data used in the productivity analysis include gold ore production from the crushing plant, dump truck specifications, transportation equipment circulation time, obstacle time, and working hours obtained based on observations in the field. Determining the number of transport equipment units to serve the production of loading equipment has been carried out, but conditions in the field sometimes still result in queues of transport equipment and idle loading equipment. This resulted in the production target of moving gold ore not being achieved. Factors in the field that can influence include unfavorable weather and climate, the need for mechanical equipment operators and equipment repairs during operating hours. This has an impact on reducing the level of production achievement. The productivity results obtained by assuming that the resistance time factor was eliminated resulted in an increase in productivity of 9.78% compared to actual productivity, with an optimal number of dump trucks totaling 11 units. Keywords: hauling, productivity, match factor, resistance time

Optimal Capacity Planning of a PV-Battery-Hydrogen System for Microgrid in Grid-Connected Mode

Abstract To improve the overall economy of the microgrid during the design and planning stage, a microgrid capacity configuration model containing photovoltaic, batteries, and hydrogen storage is proposed in this paper. The model of each equipment unit and the system control method are considered comprehensively. Demand response is utilized for load management, relieving pressure on the generation and storage sides. The configured capacity of each device is obtained by solving the optimization model using an improved particle swarm algorithm. The validity of the model is verified by using case simulations, and the impact of demand response on the allocation results and the influence of the algorithm on the optimization are also analyzed.

Perhitungan Volume Stockpile dan Pengoptimalan Waktu Pengolahan Stockpile 3, 5 dan 6 Terhadap Produksi Alat Gali muat dan Alat Angkut pada TB Primer Batubesi PT Timah Tbk

PT Timah Tbk's Batubesi Primary Large Mine has experienced a significant decline in production in recent years, causing a change in the mining process to stockpile management that is still economical with a grade of 0.2%. This study aims to determine the volume and production of stockpiles 3, 5 and 6, the type of sediment and Sn content of stockpile material and the time required to spend stockpile material 3, 5 and 6 in order to get the optimal time. The method used is a quantitative method by taking cycle time data as much as 30 data and analyzing sample levels using XRF on each stockpile. The results of this study obtained the volume of stockpile 3 material is 132,648.42 m3,, stockpile 5 is 162,570.25 m3, and stockpile 6 is 33,090.19 m3. The calculated machine productivity at stockpile 3 is 42.17 tons/hour, stockpile 5 is 48.11 tons/hour and stockpile 6 is 39.53 tons/hour. The highest Sn content is found in stockpile 6 which is 0.33% with the type of skarn sediment. While the lowest Sn content is found in stockpile 3 which is 0.2% with oxide clay sediment type. In stockpile 5, the Sn content is 0.31% with the type of oxide clay sediment. The remaining volume of stockpile material in stockpiles 3, 5 and 6 can be spent with a time of 2.78 years using 1 unit of excavation equipment and 1 unit of transportation equipment. Optimization is carried out so that the remaining stockpile reserves can be spent within 1.74 years using 1 unit of excavation equipment and 2 units of transport equipment.

Effect of Nano-CuO and 2-Mercaptobenzothiazole on the Tribological Properties of Ultra-High Molecular Weight Polyethylene

In this study, the tribological properties of nanocomposites based on ultra-high molecular weight polyethylene (UHMWPE) filled with nano-CuO and 2-mercaptobenzothiazole (CuO/MBT) in mass ratios of 1:1 and 2:1 were investigated. In the supramolecular structure of UHMWPE nanocomposites, spherulites of several hundred micrometers in size are formed. The density of UHMWPE nanocomposites slightly increases relative to the pure polymer, reaching a maximum at 2 wt.% CuO/MBT in both ratios. The Shore D hardness and compressive stress of the UHMWPE nanocomposites showed an improvement of 5–6% and 23–35%, respectively. The wear resistance and coefficient of friction of UHMWPE nanocomposites were tested using a pin-on-disk configuration under dry friction conditions on #45 steel and on P320 sandpaper. It was shown that the wear rate of UHMWPE nanocomposites filled with 2 wt.% CuO/MBT decreased by ~3.2 times compared to the pure polymer, and the coefficient of friction remained at the level of the polymer matrix. Abrasive wear showed an improvement in UHMWPE nanocomposites filled with 1 wt.% CuO/MBT compared to the polymer matrix and other samples. The worn surfaces of the polymer composites after dry friction were examined by scanning electron microscopy and IR spectroscopy. The formation of secondary structures in the form of tribofilms that protect the material from wear was demonstrated. Due to this, the wear mechanism of UHMWPE nanocomposites is transformed from adhesive to fatigue wear. The developed materials, due to improved mechanical and tribological properties, can be used as parts in friction units of machines and equipment.

Evaluation of the Degree of Degradation of Brake Pad Friction Surfaces Using Image Processing

The improvement of drilling rig systems to ensure a reduction in unproductive time spent on lowering and lifting operations for replacing drilling tools and restoring the performance of drilling equipment units is an important task. At the same time, considerable attention is paid to the reliable and efficient operation of the braking systems of drilling rig winches. In the process of operation, the polymer pads periodically come into contact with the outer cylindrical surface of the metal pulley during braking, work in extreme conditions and wear out intensively, so they need periodic replacement. Tests were carried out on a modernized stand and in industrial conditions for the brakes of drilling winches. A methodology for evaluating the degradation of the brake pad friction surface during its operation is proposed. The assessment of the degradation degree is carried out based on the image of the brake pad surface using image processing techniques. Geometric transformations of the input image were performed to avoid perspective distortions caused by the concave shape of the brake pads and the spatial angle at which the image is acquired to avoid glares. The crack detection step was implemented based on the scale-space theory, followed by contour detection and skeletonization. The ratios of the area and perimeter of segmented and skeletonized cracks to the total area were chosen as integral characteristics of the degradation degree. With the help of scanning electron microscopy, the character of the destruction of the friction surface and the degradation of the polymer material was investigated. Experimental studies were performed, and the application of the proposed method is illustrated.

Application of Modern Approaches to the Numerical Modeling of the Stress-Strain State for the Strength Assessment of Complex Units of the NPP Primary Circuit Equipment. Part 3. Application of Submodeling Technique and Extended Finite Element Method for Calculation of the Reactor Pressure Vessel Nozzle Zone

Application of Modern Approaches to the Numerical Modeling of the Stress-Strain State for the Strength Assessment of Complex Units of the NPP Primary Circuit Equipment. Part 3. Application of Submodeling Technique and Extended Finite Element Method for Calculation of the Reactor Pressure Vessel Nozzle Zone

ПОВЫШЕНИЕ ЭФФЕКТИВНОСТИ АГРЕГАТОВ МОБИЛЬНЫХ СРЕДСТВ ДОСТАВКИ СПЕЦИАЛИЗИРОВАННОГО ОБОРУДОВАНИЯ И ЛИЧНОГО СОСТАВА ДЛЯ ТУШЕНИЯ ПОЖАРОВ

The issues of maintaining the reliability of the functioning of power units of mobile technical equipment designed to deliver specialized equipment and personnel to firefighting sites are being investigated. In relation to moderately boosted power units (4Ch11/12.5; 4ChN11/12.5) for the chassis of medium-duty fire-fighting vehicles (ZIL-5301; GAZ-3403), statistical patterns of changes in the characteristics of their technical condition depending on the operating time in engine hours were studied experimentally. The patterns make it possible, with a high degree of reliability, to substantiate the relationship between the technical condition of power units and their fuel equipment with indicators of the effectiveness of the use of mobile fire fighting equipment: power, fuel efficiency and environmental safety in the processes of their long-term operational operation for their main purpose – fire extinguishing.

Test blanket modules piping systems calculation method according to RCC-MRx code

The ITER Test Blanket Modules (TBMs) are installed and operated inside the vacuum vessel (VV) at equatorial ports located within port plugs (PP). The Pipe Forest (PF) is a network of pipes connecting the Ancillary Equipment Unit (AEU) to the TBMs. Depending of the TBM, the Pipe Forest includes various piping system such as Water Coolant (350°, 188 bars), Helium Coolant (500°, 100 bars) Lithium Lead and Tritium Extraction System. During operating states, the Pipe Forest main function is to withstand loads in normal, incidental and accidental situations according to RCC-MRx code criteria (including design rules for mechanical components for fusion installations). It includes severe thermomechanical loadings due to the thermal expansion added to seismic and vertical displacements events. In addition, the PF layout must satisfy constructability in constraint environments and maximize the space available for man access, which constitutes a real challenge for design.Since no existing RCC-MRx post-processing tool exists off the shelves, a specific methodology for pipe stress analysis is being developed by ITER, CEA and ASSYSTEM. This methodology starts with a post-processing calculation tool of stresses and reaction forces for looping back into the structural calculation. Moreover, a specific extraction module from 3D model to processing tool allows the conversion of CAD data to calculation entry files. Finally, a feedback loop is also re-integrated into the core CAD model through an import module, enabling the tracking of displacements and evaluate the impact of incorporating pipe movements into the analysis.This paper describes the pipe stress analysis methodology and its application for Pipe Forest system design life cycle. It covers the historical evolution of the routing including introduction of expansion loops. More recently, it incorporates the integrated calculation of the entire port cell, spanning from the back of the TBM sets, up to the connection pipes of the vertical shaft.

Brazilian Psychiatric Association Consensus on the physical structure and ideal team for psychiatric emergencies services.

An integral part of Brazil's public health system, the psychiatric emergency service (PES) has been instrumental in improving qualified support for crisis situations of mental disorders, equitable, universally accessible, and humanized. The purpose of this article is to present a systematic review and consensus about the physical area and facilities, and ideal team qualified for psychiatric emergencies services on both Brazilian settings. The authors conducted a literature search using electronic databases such as MEDLINE (PubMed), Scielo, the Cochrane Database, and documents from the WHO, the Brazilian Ministry of Health, and others deemed relevant by experts. A total of 6839 manuscripts were found, but only 46 were selected. The analysis of article content summarizes consensus statements using the Delphi method and a series of interactive versions to provide a final report. Changes to PES are evaluated considering various experiences and models. The authors highlighted that The Emergency Care Network (ECN) must be coordinated with qualified management, effective implementation of integration of all health equipment's and units. PES must have adequate infrastructure; qualified staff, including a psychiatrist; sufficient consultation and observational spaces; tools and resources for differential diagnosis; training for all staff members; and communication with the health care network to facilitate referrals following patient discharge are all necessary. These standardized models need to be available to public health managers so that they can guide the installation of new services and adjust the existing ones, always looking for improvement. The authors propose requirements for PES as a model to be passed over.

Структура та властивості нових підшипникових композитів на основі сталевих відходів для важких умов експлуатації друкарських машин

The article presents the research results on the structure and properties of new self-lubricating bearing composites based on grinding wastes of high-alloyed steel 8X4V2MFS2 with additives of CaF2 solid lubricant. The new composites are designed to operate in friction units of printing machines at rotational speeds of 600˗800 rpm and increased loads of up to 3.0 MPa. It is shown that the application of the developed technology ensures the formation of a fine-grained heterophase structure of the new composite. The formed structure is a metal matrix base made of regenerated grinding waste from 8X4V2MFS2 steel, consisting of a high-alloy α-solid solution and solid grains of alloying elements’ carbides, as well as a uniformly distributed solid lubricant CaF2. This structure ensured the formation of the new composite’s physical, mechanical and tribological properties high level. In the process of friction, antifriction films were formed on the contact surfaces, which provided a self-lubricating mode. Comparative friction and wear tests have shown significant advantages of the new waste composite compared to cast brass L63, which is traditionally used in friction units of printing equipment. The determined level of physical, mechanical, and tribological characteristics makes it possible to recommend the studied material for use in friction units of printing equipment operating at elevated rotational speeds of 600˗800 rpm and loads up to 3.0 MPa in air. The studies have shown the prospects of using a wide range of valuable metal grinding waste in the repeated production cycle for the manufacture of high-quality composites. The reuse of such waste will make a significant contribution to the protection of the environment from pollution associated with human industrial activity and will help reduce its negative effect on the ecosystem. Keywords: grinding waste, high-alloyed steel, technology, composite bearing, microstructure, solid lubricant, properties, antifriction films, printing machines.

Experience analysis of automation and robotization of the container terminal operation

The paper reviews the existing approaches to automation of both transshipment equipment and technological operations performed at container terminals. It is pointed out that automation and robotization of warehousing and port operational processes is one of the current global trends in the development of cargo transshipment and temporary storage technologies at seaport berths. Therefore, the search, accumulation and systematization of a lot of information about practical developments in this area of transport industry is one of the scientific tasks in choosing the direction of the dissertation research "Technology, arrangement and management of transshipment processes in ports". On the basis of the studied domestic and foreign experience in the field of arrangement of the management system of the sea container terminal the operational processes in which the object of automation was transshipment technology were classified. The unification of individual methods of automation of operational processes into groups (levels of automation) was made on the basis of the classification criteria "the number of automated equipment units ". Unstructured data presented as primary source information on the websites of manufacturers of transshipment equipment, as well as secondary open scientific data were the sources of information for the scientific research.

Optimized scheduling of energy-transport coupling systems considering uncertain traffic flow

To address energy and nature-related issues, the development of new energy vehicles has been rapid in recent years, gradually replacing traditional vehicles. This paper specifically focuses on the uncertainty of traffic flow for new energy vehicles within the transport system. We analyze the consequence of output from various equipment units in the energy system and their optimized scheduling. We construct an optimization scheduling model for integrating the electric-gas network and the transportation network, known as the energy-transport coupling system (ETCS). By incorporating the uncertainty of traffic flow and utilizing a data-driven approach to generate a set of uncertain traffic flow, we conduct a case study using an improved ETCS consisting of an IEEE-33 node distribution network, a 7-node natural gas network, and a 12-node transportation network to validate the scheduling method. The results demonstrate that the uncertainty of traffic flow does indeed affect the output of equipment units in the ETCS. Furthermore, through optimized scheduling, we can achieve positive interactions between different systems.