Operation Efficiency Of Equipment Research Articles

Solid-like slippery surface for anti-icing and efficient fog collection

Ice accumulation on the surface of aerospace and transportation equipment under extreme weather seriously endangers the safety and efficiency of equipment operation. In recent years, metal corrosion, especially in the marine engineering industry, has become a global concern. The slippery liquid infused porous surface (SLIPS) is a new bionic surface which has caused extensive research in recent years, and has great potential in anti-corrosion and anti-icing. In this study, a multifunctional solid-like lubricated slippery surface (SL-SLIPS) was developed by superhydrophobic modification of the base of copper hydroxide nanoneedles and injection of solid-like lubricant synthesized by embedding oil-stored mesoporous silica nanoparticles on the surface of epoxy resin. At −30 °C, the delayed icing time on the surface of the SL-SLIPS sample was 22.6 times that of the original copper substrate. The ice adhesion was tested on the surface of the sample, and the results showed that the adhesion of the icicle on the SL-SLIPS surface was the smallest, which decreased by 89% compared with the original copper substrate. In addition, SL-SLIPS have excellent corrosion resistance and rapid droplet trapping, nucleation and drop. It has good practical application prospects in corrosion resistance of marine equipment and icing resistance of aerospace and transportation equipment. This study provides new ideas for the design of new slippery surfaces and their application in practical fields, such as anti-corrosion of offshore equipment, anti-icing of equipment in aviation and fog collection engineering in industry.

Рациональная технология комплексной разработки торфяных месторождений

The article analyzes a rational scheme of bulldozer technology of complex surface layer-wise extraction of peat raw materials and wood remains, which contributes to energy and resource saving. Complete extraction of useful components from peat deposits is achieved based on the environmental principles of rational use of natural resources. Agro-industrial and environmental protection are currently becoming promising directions for the use of peat raw materials. The ways of technical retooling and enhancing the efficiency of equipment operation are considered with account for the scale factor of the peat-mining companies. The advantages of the peat mining technology, which can be used in small-scale peat mining companies, are shown. The choice of equipment for the bulldozer technology is made with consideration of the limiting conditions for its application, reduction of the energy intensity of the process; equipment match by technical specifications; versatility and multitask capability.

ОЦЕНКА ЭНЕРГЕТИЧЕСКОЙ ЭФФЕКТИВНОСТИ ЛОКОМОТИВОВВ ЭКСПЛУАТАЦИИ

The article discusses the methodology for assessing the energy efficiency of locomotives under operating conditions according to data recorded by on-board microprocessor control systems of modern locomotives. It is based on the energy approach, which allows to estimate the losses in each element of energy conversion on the locomotive. The coefficient of efficiency of equipment operation and the energy resource overrun coefficient are proposed, which make it possible to assess the energy efficiency of the operation of traction equipment and the locomotive as a whole under operating conditions, as well as the resulting cost overrun of energy resources due to the predominance of operating modes other than nominal. The energy efficiency of the traction equipment of diesel locomotives 2TE25KM and TEP70BS was assessed.

Transportation of cuttings by drilling mud in horizontal wells. Part 2. Numerical results of drilling at optimal rheological properties of mud

The relevance. Ensuring technological equipment operation efficiency when drilling wells with an arbitrary orientation of their wellbores. In particular, the search for productive hydrocarbon reservoirs requires drilling deeper wells with extended horizontal sections, for which the removal of the cuttings bed is the key problem of modern drilling. The aim. Study the features and establish the patterns of cuttings movement through the annulus eccentric space formed by a drill string and well walls under various modes (in-situ) and drilling conditions within the framework of modern mathematical models of hydrodynamics, numerical algorithms and approaches implemented in ANSYS CFD. Optimize the parameters that determine drilling, such as an inclination angle, mass-average velocity and morphology of the inlet rheologically complex viscous flow to form the maximum allowable drilling velocity for various combinations of mud effective viscosity and mixture flow rate. Give practical recommendations for engineers to reduce time, costs and material resources for maintenance and optimization of well cleaning. The object. A well with an eccentric core and an extended horizontal section operating in modes and conditions close to real drilling. The methods. Complex of physical and mathematical analysis and numerical modeling of hydrodynamics and mass transfer in homogeneous and heterogeneous continuous media. The media were widely tested on the class of internal rheological complex flows, the verification of which was carried out under appropriate conditions, performed by other authors when solving problems of drilling and cleaning wells. The results. The paper presents the results of a numerical study of hydrodynamics of a dispersed flow of a rheological complex viscous mixture of a drilling fluid with the properties of a Herschel–Bulkley type fluid and sand particles in wells with an arbitrary generatrix of its wellbore in an eccentric space. The results are required to clarify the features that accompany direct-flow and swirling flow (the moving wall method), identify the patterns in such modes, accounting for which allows for effective cleaning of the annulus. The calculations were performed within the framework of modern mathematical models of the RANS-method and the Euler–Lagrangian approach to describing the motion of heterogeneous media, implemented in the ANSYS CFD software and efficient numerical algorithms for determining intra- and interfacial processes of mass and momentum transfer in mixtures. The authors have determined that when drilling a vertical section, the most effective parameter in terms of cleaning control is the effective viscosity of the mud; the most problematic configurations for cleaning are wells with sloping sections at angles close to the vertical. When drilling a horizontal section, the eccentricity of the drill string creates “the dead” zone of flow and complicates cleaning. This zone should be removed by creating swirling flow conditions through relatively weak rotation of a drill string (30–60 rpm). When drilling inclined sections, it is necessary to reduce a solution viscosity (preferably to the level of fresh water) and increase the flow rate (in this case, to 2 m/s or higher). When drilling a horizontal section, a mud with a viscosity close to fresh water is recommended at flow rates of about 2 m/s (or 640 gpm) at the well inlet and a maximum drilling velocity of 9 m/h.

Operation and maintenance strategy of radio transmission equipment based on big data

AbstractIn recent years, the operation and maintenance of radio transmission equipment have faced challenges such as equipment aging, high maintenance costs, long response time, and technological updates. It is necessary to adapt to new technologies and improve maintenance efficiency. The operation and maintenance strategy of radio transmitting equipment based on big data (BD) aims to optimize the reliability and operating efficiency of equipment through data analysis and intelligent algorithms, and reduce failure risk and maintenance costs. By analyzing the operation data and maintenance records of a large number of radio transmission equipment, it revealed the patterns and trends of equipment failures, in order to timely identify and predict possible faults, and take corresponding maintenance measures. This article adopted methods such as data collection and preprocessing, fault prediction and diagnosis, and maintenance optimization to achieve accurate monitoring of equipment operation status, fault prediction and diagnosis, optimized maintenance, and decision support. This can improve the operational efficiency and reliability of radio transmission equipment, which is used for fault diagnosis of radio transmission equipment through SVM (Support Vector Machine) algorithms. By training SVM classifiers, this article associated different types of faults with their feature data, thereby quickly and accurately determining the type of equipment fault based on real‐time collected device data, providing a basis for maintenance decision‐making. The experimental results show that the failure frequency of the radio transmitting equipment in the control group was between 7% and 11%, while the failure frequency of the radio transmitting equipment in the experimental group was between 3% and 7%. Experiments show that BD technology can effectively reduce the failure frequency of radio transmitting equipment. The empirical results indicate that this strategy can improve the reliability of equipment and reduce operation and maintenance costs, which has important guiding significance for the operation and maintenance management of radio equipment. This would bring about more efficient and reliable operation and maintenance management of radio equipment, making important contributions to the smooth progress of broadcasting business and the improvement of user experience.

Energy Efficiency Indicator of Pumping Equipment Usage

The rational choice of pumping units and the effective usage of the corresponding pumping equipment are urgent problems in terms of ensuring the energy efficiency of up-to-date enterprises. The research aims to develop an energy efficiency indicator for torque flow pump usage to improve the decision-making procedure for choosing the corresponding pumping equipment for specific production conditions. Based on a study of the requirements of international standards for energy efficiency, a methodology for evaluating torque flow pumps according to the energy efficiency indicators is proposed, as the ratio between the values of the average compensated network power and the reference pump inlet power can determine the degree of reduced energy equipment operation efficiency in terms of the energy efficiency of pumping liquids. It was proposed to apply the base point method to determine the so-called compromise point of energy consumption for liquid pumping. This is a point for which another point, by the Pareto compromise, is likely to have a more significant (worse) value for energy consumption than the rest of the set of possible values.

Experimental Studies of the Equipment Operation Efficiency to Clean Snow and Ice Formations from Roads and Sideways

The purpose of the work is to determine parameters of the working body and its operation modes, in which the most effective removal of snow and ice formations from the road surfaces is achieved, with the obligatory observance of the integrity and safety of the pavement and sidewalk surfaces. The article represents the developed design of the mounted shock-rotary working equipment for the destruction of snow-ice formations. Methods for calculating the design parameters of special working bodies of shear and impact action have been developed. The developed model of ice breaking allows increasing the efficiency of the icebreaking machine at the design stage in order to increase its efficiency by regulating and selecting its rational mechanical and geometric characteristics according to the given values of the cam penetration depth, strength, and ice thickness. An analysis of the experimental studies confirmed the adequacy of the model of cleaning the road surface. The relevance of the research and the expected social effect is justified by the possibility of reducing the number of accidents and winter injuries on the roads of the Republic of Kazakhstan. The study is funded by the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan (grant No. AP09258973 «New technology for the production of innovative ice-cleaning road equipment»)

Principle Analysis and Fault Handling of MCC400A Electric Wheel Automatic Lubrication Control System

Selecting the appropriate lubricating grease, applying the right amount of lubrication, suitable intervals, and the correct lubrication points can significantly reduce equipment maintenance and spare parts costs, while enhance the reliability of equipment operation. A well-functioning automatic lubrication system for mining dump trucks can greatly minimize friction and wear, thus extending the lifespan of bearings and mechanical components. Through in-depth analysis of the principles of the MCC400A electric wheel automatic lubrication control system and combined with on-site troubleshooting processes, we have accumulated valuable maintenance experience. This experience holds great significance for maintenance personnel to master troubleshooting techniques for automatic lubrication control systems. By understanding the system principles and analyzing the root causes of issues, we can precisely locate and resolve faults. Additionally, by leveraging modern technology effectively, we can enhance system stability and reliability, further improving equipment operational efficiency. In conclusion, optimized lubrication practices and a thorough understanding of the system will contribute significantly to the sustainable operation of equipment and reduced maintenance costs.

Возможности совершенствования систем учета технико-экономических показателей горнодобывающих предприятий с использованием расчетов безотказности оборудования (на примере автосамосвалов разреза «Черногорский»)

At present, the use of standard technical and economic indicators of a mining enterprise to account for the operation and repair of BelAZ heavy-duty mining dump trucks does not provide a complete understanding of the reasons for the failure of these machines and all mining equipment. This makes it difficult to determine the initial causes of failures and the conditions for their occurrence, which in turn hinders the development of more effective maintenance and repair strategies for BelAZ dump trucks. To solve this problem, it is necessary to use formulas for calculating reliability indicators, such as the Stegers formula and the mathematical expectation of time to failure. To solve this problem, it is necessary to use formulas for calculating reliability indicators, such as the Stegers formula and the mathematical expectation of time to failure. These methods allow you to more accurately determine the likelihood of failures and identify the most likely causes of its occurrence. Thus, they contribute to a more effective management of the risks of equipment failure and increase the reliability of the system for the use of BelAZ heavy mining dump trucks and their repair. However, the use of formulas for calculating reliability indicators requires a higher qualification of employees of a mining enterprise, additional knowledge and skills in the field of mechanical engineering, mathematics and statistics. In general, the use of technical and economic indicators in combination with formulas for calculating reliability indicators is an important tool for improving the efficiency and reliability of the system for using BelAZ dump trucks and their repair at a mining enterprise. However, in order to achieve maximum efficiency of equipment operation, it is necessary to take into account all possible factors that affect the process of operation and repair of BelAZ heavy-duty mining dump trucks, as well as constantly improve risk management methods and tools.

The application of specialised management assistants in demand forecasting of human resources

ObjectiveBased on a theoretical analysis and through working practice, this paper presents the experience of the scientific use of the manpower demand prediction method and practical process of specialised business assistants in clinical departments. MethodsA spot observation, interview and public information inquiry were conducted, and SPSS20.0 Chinese software was used to make a statistical prediction of the business growth (P & LT; 0.05). ResultsThe specialist management assistant prepared the manpower needs assessment report for the department, and the hospital organization personnel department adopted the recommendation in the manpower needs assessment report and put it into the hospital's recruitment plan for the following year. ConclusionThe blood purification centre of specialised business assistants in patients in the medical market, service people, workload and equipment operation efficiency analysis data analysis. It was found that an effective prediction model that supports decisions regarding the hospital's scientific allocation of human resources is advantageous to the hospital's human resource optimisation, improves both operation equipment efficiency and patient satisfaction and is worthy of application and popularisation.

Моделирование трехобмоточного силового трансформатора в Matlab Simulink

Background. It is difficult to analyze the energy efficiency of 110 kV electrical networks due to the lack of the possibility to conduct experiments on operating equipment, namely on power transformers. The existing methods of mathematical calculation of electrical networks do not provide a wide opportunity to study the modes of 110 kV networks. Computational experiments to analyze the energy efficiency of equipment operation reduce the risks of equipment damage and injury of maintenance personnel. Also, it allows you to explore the necessary operation modes of a 110 kV electrical network, including power transformers. Materials and methods. The transformer model is developed in the Matlab virtual laboratory using the Simpowersystem toolbox. Results. The passport data of the transformer of the type TDTN-25000/110-U1 are given. The use of a star circuit instead of a T-shaped equivalent circuit is studied since the transformer has three windings. Virtual models are developed to conduct short circuit and open circuit experiments. The calculation of the magnetization curve of the transformer core is carried out. Using a new virtual model of a transformer of the TDTN-25000/110-U1 type, the processes of short circuit and open circuit are studied. The correspondence of the simulation results and the passport data of a real transformer is presented. The oscillograms of the magnetizing current inrush are obtained. They also correspond to the real ones. Conclusions. The model error in comparison with the passport data of a real transformer does not exceed 5 %. The model is recommended to be used to analyze the energy efficiency of 110 kV electrical networks. The promising trend to research the model of a power transformer is to add the voltage regulator under load as the operation condition.

Analysis and Experiment of Heat Transfer Performance of Straight-Channel Grid Regenerator

The design of heat transfer performance of regenerator is the key technology of Stirling machine and is of great significance to ensure the operation efficiency of equipment. In this study the temperature difference between the two ends of regenerator at room temperature is less than 50K. This paper attempts to study the heat transfer performance of the straight channel grid regenerator at room temperature and verify its accuracy. At first, a straight-channel grid regenerator was designed in this study by analyzing the influence of structural parameters on the regenerator in order to reduce the flow resistance loss. The Pore Scale method and Representative Elementary Volume methods were combined to analyze the heat transfer characteristics of the grid regenerator. Compared with the wire mesh regenerator under the same condition, the straight-channel grid regenerator’s flow resistance could reduce by 96.2%. When the length-diameter ratio is 2:1 and the porosity is between 0.4 and 0.5, the heat transfer performance of the grid regenerator is satisfactory when it is applied in Stirling heat pump at room temperature. Then, A segmented variable porosity grid regenerator was designed based on the grid regenerator, and its performance was proved to be better than that of the grid regenerator. Finally, the two regenerators were developed based on additive manufacturing technology, and a single blow experiment platform was built. The experimental results fit well with the simulation results, with the maximum error being less than 1.5%. The experimental results prove the correctness of the model, which lays a foundation for the subsequent analysis of the periodic heat transfer characteristics of the straight-channel grid regenerator.

Optimization and performance analysis of CCHP-GSHP-SE system under different start factors

The CCHP-GSHP-SE (combined cooling and heating power-ground source heat pump-solar energy) system can provide a reliable energy source. Due to the variability of building load, the energy flow of the system cannot match the building load well, resulting in low efficiency of equipment. In this paper, considering the multi-terminal supply of energy and the transfer characteristics of building load, the performance of equipment can be effectively enhanced. The operation efficiency of equipment can be improved by setting GSHP-SF (ground source heat pump-start factor). When the load level of GSHP (ground source heat pump) is lower than the start factor (SF), the GSHP stops working and transfers this part of the load to other equipment, which effectively improves the performance of devices. The performance of the system is explored under different GSHP-SF. The ACOP (annual comprehensive of performance) and AUR (annual useful ratio) are first proposed to characterize the performance of the devices. The results show that, when start factor is 0.4, the comprehensive performance of system is the most. In terms of comprehensive performance, the CCHP-GSHP-SF-SE system reaches 10.92% and CCHP-GSHP-SE system reaches 3.05% compared with CCHP-SE system. The setting suitable GSHP-SF can enhance the double effect of GSHP for the comprehensive performance of system.

Key factor mining method of distribution network equipment operational efficiency based on Apriori and CNN

The paper proposed a mining method based on Apriori algorithm and convolutional neural network for main influencing factors of distribution equipment operation efficiency. Firstly, the possible affecting factors of operation efficiency are analyzed, then a method based on K-means clustering and Apriori algorithm is proposed to mine the main factors affecting the operation efficiency. Thirdly, quantitative measure of the relationship between the operation efficiency and the main influencing factors based on convolutional neural network is developed. Finally, the paper is tested on GEFCom match data. The simulation results show the feasibility and effectiveness of the proposed algorithm.

Research on Improving the Precision Investment Level of Distribution Network Based on the Whole Process Control Means of Big Data

With the continuous and stable growth of China’s national economy, the demand of the whole society for the total power supply is higher and higher, which requires the power enterprises to continuously improve the power supply. However, if the total power supply is increased, the power enterprises need to invest a lot of power transmission facilities, which requires a huge investment in the distribution network. Therefore, different economic development levels among regions will lead to the difference of distribution network investment, which is also an important content of distribution network investment decision. Therefore, we must control the whole process through big data, which will provide a better evaluation system of distribution network investment benefits. Through the whole process management and control mode, the State Grid can build a systematic and complete distribution network investment decision-making system, which will improve the accuracy of distribution network infrastructure project investment. By analyzing the income ratio, the power grid can get scientific economic investment analysis report. Through big data technology, the power grid can realize a variety of data of distribution network operation, such as maintenance plan optimization, distribution network operation process optimization, project investment income, equipment health status analysis, etc., which can provide auxiliary decision support. Through the three aspects of technical benefit, social benefit and economic benefit, we can evaluate the operation efficiency of equipment, which can construct the index system of project investment benefit. Firstly, this paper constructs the whole process management and control system of distribution network based on big data. Then, this paper constructs the accurate investment index system of distribution network. Finally, some suggestions are put forward.

Preventive maintenance period decision for elevator parts based on multi-objective optimization method

Elevator maintenance plays an important role in the safe and reliable operation of elevators. However, elevator maintenance is carried under some relevant norms and standards at present, and little research has been conducted to explore how to analytically make maintenance period decision for elevator parts. In addition, the unreasonable selection of the elevator maintenance period will cause excessive cost and low equipment operation efficiency. A decision-making method for elevator parts' maintenance is provided in this paper, which aims to solve the problem of seeking a reasonable maintenance cycle for elevator parts. First of all, the historical fault data of elevator parts is used to analyze their fault distribution law. In order to accurately reflect the changes of parts after maintenance and repair, the age reduction factor and the failure rate increasing factor are introduced to establish a mixed failure rate model. Accordingly, the cost rate and utilization rate model are established under the comprehensive consideration of cost and time factors in the maintenance process. Furthermore, a multi-objective optimization model is built with maintenance frequency as the decision variable. Then, Monte Carlo simulation method is used to solve the optimization model, and the best maintenance period of the parts within the service time is obtained. Finally, the proposed method is applied to the elevator parts to find out their optimum maintenance frequency, and the results show the effectiveness of the method. A reasonable maintenance period can not only reduce the risk of equipment failure, but also save costs so as to avoid excessive waste of resources.

Optimization of impacts parameters on the equipment of electrical networks during operation according to the technical condition

Scheduled operation of power grid facilities is regulated by the relevant regulations based on a system of scheduled preventive maintenance. Maintenance and repair (M&R) of power grid facilities due to their technical condition increases demands for planning methods and models. In these conditions, the goals of the M&R management are aimed at improving the efficiency of the operation of electrical networks. They differ depending on the purpose and form of ownership of the latter. The article suggests a combined approach to planning maintenance of electrical networks using strategy depending on their technical condition based on optimization of impact parameters such as frequency and labor intensity under specified constraints and variability of management goals. To implement the proposed planning procedure, the authors developed and verified models of process maps. Each of them represents a local database including the information about the composition and complexity of operations, depending on the type of equipment and the type of corrective actions. In addition, a set of operational algorithms, that solve the issues of process automation in the maintenance system of electrical network equipment, has been developed. The analysis and discussion of the developed models and algorithms are carried out on a specific example illustrating the possibilities of improving the efficiency of equipment operation in the electrical networks on the oil fields.

PUMPING STATION AND STAMPING MACHINE FOR THE PRODUCTION OF RADIATION SOURCES

The article describes a five-lamp pumping station and a semi-automatic stamping machine for the production of bactericidal ultraviolet lamps. Standard methods of production and testing of pumping stations and stamping machines were analyzed. In the course of work and on the basis of the conducted research, the technical characteristics and equipment configuration were worked out. The pumping station is designed for processing simultaneously five products that will later be bactericidal ultraviolet lamps, including: decontamination of products, oxidation of electrodes, filling products with a gas mixture to the working pressure, loading amalgam and desoldering. This equipment ensures the fulfillment of the production volume for the production of bactericidal lamps. When designing and manufacturing electrical equipment, components from the world's leading manufacturers are used. The use of high-quality materials can significantly increase the efficiency of equipment operation. The latest technical solutions combined with a well-thought-out design make it possible to successfully integrate this equipment into integrated automated control systems.

System Dynamics Analysis of Man-Machine Efficacy in Plateau Mines

The effects of multiple factors in plateau environments on the working efficiency of equipment operation by personnel makes man-machine efficacy relatively difficult to evaluate. In this study, system dynamics are combined with coupling theory to establish a system dynamics simulation system to quantify the impact of personnel, equipment, and the environment on man-machine efficacy for a plateau environment and analyze the corresponding influencing factors. First, the factors that affect man-machine efficacy and the direct coupling between these factors are identified. Next, expert scoring is used to calculate the coupling between factors to construct a system dynamics model. Finally, the interaction between the influencing factors is used to develop a system dynamics simulation model for the man-machine environment. The results show that man-machine environment influence factors have the most noticeable effect on the man-machine function. The different factors have the same overall effect on the man-machine efficiency, where the impact value slowly increases over the first 0 to 6 hours of working time and then increases significantly. This result shows that the influencing factors have little effect on the man-machine efficiency before 6 hours of working time. The influence of the factors gradually becomes evident after 6 hours of operation time. Therefore, different labor hours are recommended for plateau mining enterprises in practice than for plain areas, where working times should be decreased to under 6 hours.

ВЫРАБОТКА КРИТЕРИЯ ЭФФЕКТИВНОСТИ ПРИ ОПТИМИЗАЦИИ СТРУКТУР СТАНОЧНЫХ МОДУЛЕЙ

The article discusses the process of developing an efficiency criterion when solving problems of synthesizing the structures of machine modules. When solving problems of the synthesis of structures at the initial stages, it is recommended to apply the method of morphological analysis based on the use of the morphology of objects and allowing to organize and systematically analyze the space of their changes. Along with the actually possible combi–nations of characteristics, the method gives a large number of incompatible options, an objective assessment of the effectiveness of each of which is difficult. In order to evaluate the preferred module option for automated design, it is necessary to develop an optimality criterion that takes into account the probabilities of trouble–free and commis–sion–free operation of the technological system. A particular objective optimization function is determined, to evaluate the optimality of solutions when choosing from comparable options, an integral higher level criterion is proposed, which explicitly associates the total annual efficiency of equipment operation when meeting the require–ments for product quality with total costs for its creation and operation. Describes the method of selection of technological elements of equipment and the approach to the evaluation of the preferred option module with computer–aided design.