Equipment Management Research Articles

Automatic object detection for disassembly and recycling of electronic board components

This paper presents the development of a deep learning-based object recognition system designed to automate and speeding up the disassembly process of electrical and electronic components. The main goal is to address the mounting global issue of Waste Electrical and Electronic Equipment (WEEE) management. The increasing availability of technology and the expansion of consumer markets have led to a significant surge in the generation of WEEE, necessitating the urgent development of sustainable and automated strategies for its disposal and resource recovery. Traditional manual disposal methods and the uncontrolled accumulation of WEEE can pose serious threats to the environment, human health and natural resources. A comprehensive approach, involving advanced recycling technologies, life-cycle management and policy reforms is required to handle this escalating waste stream.The complexity of WEEE management is heightened by the diversity of product design and composition, making efficient material selection processes often labour-intensive and expensive. This work focuses on the automated detection and sorting of WEEE products. The proposed system enables rapid identification of products and components, in order to facilitate the subsequent disassembly and reuse of components that are still considered functional, safe, and of good quality. This concept is illustrated through a case study where recognition of six different electronic boards is performed.

ГРУППИРОВАНИЕ ПО ТЕХНОЛОГИЧЕСКИМ ПРИЗНАКАМ ОПЕРАЦИЙ ВРЕЗНОГО БЕСЦЕНТРОВОГО ШЛИФОВАНИЯ

Mortise, as one of the methods of centerless grinding, has high productivity and processing accuracy. However, the scope of its application in existing industries is limited to a rather narrow area. This is largely due to the lack of a fully formed methodological base for the stages of equipment setup and management of the implementation of the technological operation. The article presents proposals for the structural classification of inset centerless grinding, including their grouping according to the criterion of uniformity of design procedures of individual stages of technological support. The created formalized models ensure the consistent formation of clusters of processing schemes with the possibility of taking into account specific production conditions. The results of the grouping of processing methods for design procedures for the appointment of rational technological modes of mortise centerless grinding operations are presented.

Quality approach towards ISO/IEC 17025 accreditation at the center of analysis and characterization of Marrakesh Cadi Ayyad University: metrology stakes

In the context of the European Tempus project “Quality in Higher Agricultural Education in the Mediterranean (QESAMED)”, Analysis and Characterization Center of Cadi Ayyad University has committed to implement a quality approach according to the ISO/IEC 17025 standard. The first objective was to accredit the testing carried out in the microbiology laboratory in response to strong demand from the food industry in the Marrakesh region. The process began with an initial assessment of the center activities to identify the main gaps from ISO/IEC 17025. The range of laboratory and standard testing to be accredited were determined and an appropriate action plan was established. After that, a staff training was programmed to improve their skills in relation to this standard and metrology concepts. Implementation of the metrology function is one of the key steps for the deployment of the continuous improvement process. This function guarantees the traceability of measurements and the reliability of microbiological testing results. Several actions have been carried out, including: (i) identification of critical quantities and associated metrological requirements, (ii) checking of the metrological consistency of equipment through the calculation of the capability coefficient. The management of equipment requires several steps, from receipt of the equipment to its decommissioning or reform: (i) identification of the equipment, (ii) creation of equipment files, (iii) performance of calibration, verification, and maintenance operations. Ultimately, the definition of a strategy ensuring metrological traceability will optimize management costs by taking into account the structural constraints linked to the organization of metrology on a national scale.

SMART CITY MANAGEMENT SYSTEM UTILIZAING MICRO-SERVICES AND IOT-BASED SYSTEMS

Urban governance is without a doubt a very complicated activity. The city doesn't just consist of people and buildings, there are transport and road infrastructure, critical infrastructure, medical facilities, road cover, industrial equipment and many more. Besides, the city council provides a wide range of services to the public. Among them healthcare, welfare, economic and finance supply, labor, real estate management and others. Information management systems and web services are employed for digital management, while various embedded management systems are used for equipment management and surveillance. Being very complex and multilayered system, Smart City Managment solutions offer a platform that encapsulates main services for both public and for technological aspects of urban governance. The results presented in this paper are based on a study of the existing software, hardware and middleware platforms for smart city use case. The main focus is middleware platform as it serves as medium that can connect existing software and hardware solutions. In the global context of Smart city management service system all major components are broken down in the format of microservices (on the level of large enterprise distributed service). Presented Managment software suit model had been broken down into multiple software architecture abstraction layers, from hardware to end-user application. As a result, the three stages smart city service implementation roadmap had been presented. Using the Middleware platform and Web-services models, the Smart City Managment services can be implemented in any given city in porotype stage for future evaluation and full version implementation.

Analysis of Equipment Management Methods for Pumped Storage Power Stations Under the “Dual-Carbon” Goals

Pumped-storage, as the most mature technology, economically optimal, and most suitable for largescale development, plays a crucial role in promoting the consumption of clean energy and supporting the construction of new energy systems. Pumped-storage power stations involve various types of equipment such as hydraulic and electrical devices. The frequent start-stop operation in the context of new energy system construction will pose significant challenges to the equipment. This paper proposes a reliability-centered health management method for pumped-storage equipment. It implements differentiated and hierarchical management strategies for various types of equipment and establishes differentiated equipment maintenance strategies based on this.The project takes the manhole door of a power station governor pressure oil tank with nitrile rubber sealing ring as an example to calculate the service life in actual working conditions. Through calculation, it is considered that when reliability is 99%, the service life can be extended for more than 5 years, and if the reliability is 100%, the service life can be extended for more than 1 year.

CREATION OF MECHANICAL ENGINEERING LABORATORY EQUIPMENT RECORDING APPLICATION USING MICROSOFT ACCESS AT SMK NEGERI 1 PALANGKA RAYA

The application for recording laboratory equipment loans has an important role in the efficiency of administration and equipment management in educational environments such as SMK Negeri 1 Palangka Raya. This article describes the development of a Microsoft Access-based mechanical engineering laboratory equipment loan recording application to meet school needs in managing laboratory equipment more efficiently. This application was designed with the unique needs of laboratories in mind, including the process of borrowing and returning equipment, equipment stock management, and reporting on loan activities. Application users, such as laboratory technicians and equipment users, can easily record borrowings, check equipment availability, and generate necessary reports. This application is expected to provide benefits in increasing the efficiency of laboratory administration, increasing the accuracy of recording, and providing convenience in reporting. Apart from that, this application is also expected to increase transparency in the process of borrowing Mechanical Engineering laboratory equipment at SMK Negeri 1 Palangka Raya. The performance evaluation results of this application show that users experience improvements in administrative efficiency, recording accuracy and transparency. Thus, this application makes a positive contribution to the management of the Mechanical Engineering laboratory at SMK Negeri 1 Palangka Raya and can be an example of successful technology implementation in education.

KEY ASPECTS OF ENSURING THE QUALITY AND SAFETY OF FOOD PRODUCTS IN THE RESTAURANT BUSINESS

The article argues that food safety is a key factor in the successful functioning of restaurant business establishments, and the quality of food products directly affects the success of the business. The main provisions of the regulatory and legal support of the HACCP system in Ukraine are clarified. The theoretical aspects of the system of quality management of products and services in the restaurant business are analyzed, taking into account the works of domestic and foreign scientists and specialists on ways to improve the quality of products and services. On the basis of the study, it is determined that an effective system for managing the quality of products and services in the restaurant business should include a set of HACCP principles, the application of which provides enterprises with a number of advantages. It is noted that the HACCP system covers product safety parameters at all stages of its life cycle - from obtaining raw materials to consuming finished products. In turn, it is emphasized that the prerequisite programs also cover other systems, such as: management of purchased materials; supplier approval programs; traceability systems for raw materials and final products; receipt, storage and distribution systems; product labeling; management of production equipment for its suitability; personnel training, etc.

Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction

The Prognostics Health Management (PHM) of modern equipment typically employs Remaining Useful Life (RUL) prediction to assess health status. Existing mainstream RUL prediction methods have improved prediction performance by adopting data-driven approaches based on deep learning. However, most methods overlook the impact of noise interference caused by the redundancy of sensor data across channels, leading to a decrease in RUL prediction performance. Furthermore, these methods lack transparency and interpretability, which are crucial for maintenance personnel in accurately diagnosing the degradation process of equipment RUL. Therefore, we propose a Factorized temporal-channel fusion and Feature fusion based Variational Encoding (FFVE) for interpretable RUL prediction. By utilizing the factorization operation, we construct the Factorized Temporal-Channel Fusion (FTCF) block to learn temporal and channel dependencies, thereby reducing redundancy between channels. Through the feature fusion operations which mix original information with extracted feature information, we augment the original information that is lost during the deep network learning process, consequently avoiding performance degradation caused by increasing network depth. Through the above encoding process, sensor data is effectively compressed into a 3D latent space for predicting and interpreting the equipment degradation process. Extensive experiments were conducted on two datasets of the C-MAPSS turbofan aircraft engine and the NASA lithium-ion battery. The results demonstrate that our method outperforms state-of-the-art methods in terms of prediction accuracy. Additionally, our study provides a novel visual means of assessing turbofan engine health status, elucidating the engine RUL degradation process learned by our method.

A novel monitoring system for fatigue crack length of compact tensile specimen in liquid lead-bismuth eutectic

Fatigue strength of the structural materials of lead-cooled fast reactors (LFRs) and accelerator-driven systems (ADS) may be degraded in liquid metal (Lead or lead-bismuth eutectic (LBE)) environments. The fatigue crack growth (FCG) data of structural materials in liquid LBE are necessary for damage tolerance design, safety assessment and life management of key equipment. A novel monitoring system for fatigue crack length was designed on the compliance method and the monitor technology of crack opening displacement (COD) of CT specimens by the linear variable differential transformers (LVDT) system. It can be used to predict the crack length by monitoring the COD of CT specimens in harsh high-temperature liquid LBE using a LVDT system. The prediction accuracy of this system was verified by FCG experiments in room temperature air and liquid LBE at 150, 250 and 350 °C. The first results obtained in the FCG test for T91 steel in liquid LBE at 350 °C are presented.

Establishment and application of rural domestic sewage treatment evaluation system based on analytic hierarchy process

AbstractAlthough numerous rural domestic sewage treatment facilities are constructed with the aim of improving the rural environment, the actual treatment effect is still difficult to evaluate. In this study, an evaluation system of rural domestic sewage treatment was established based on the analytic hierarchy process (AHP) model and a county in Zhejiang Province was selected as an example for empirical analysis. According to the results, planning issues have the greatest impact on rural sewage treatment, accounting for 56.8%, while equipment issues, personnel issues and management issues account for 27.3%, 9.7% and 6.2%, respectively. Also, the results demonstrated that terminal planning, location selection, treatment process selection and construction design should be paid attention to among the 11 secondary indicators. The establishment of the evaluation system clarifies the different influencing factors and weights during the operation of the completed facilities, which is conducive to the scientific and effective management of sewage treatment.

Calculation of the Cost of Training Medical Students in One of the AJA Universities of Medical Sciences Using Time-Driven Activity-Based Costing Method

Background: Estimating the total cost of services is crucial for utilizing available resources more efficiently and effectively. By employing the time-driven activity-based costing (TDABC) method, not only can costs be calculated, but also the efficiency and unused capacity of resources can be assessed. Objectives: This study aimed to calculate the cost of education for each medical student at one of the AJA Medical sciences Universities in 2022 using the TDABC method. Methods: This quantitative study was conducted cross-sectionally and retrospectively in a descriptive-analytical manner. The data were collected and analyzed through interviews and observations. To analyze and allocate costs, administrative and educational departments were categorized into three levels: Overhead, intermediate, and final activity centers. Then, using the TDABC approach in Microsoft Excel 2013 software costs from the overhead and intermediate activity centers to the final activity center and students. Results: The study estimated the average cost of educating each medical student to be approximately IRR 6 267 568 065. Additionally, the unused capacity of resources in overhead and intermediate centers was observed to be 30% (range: 4 - 44%) and 33% (range: 26 - 43%), respectively. Conclusions: The findings indicated that the cost per student is somewhat reasonable; however, there is a high level of unused capacity in the university and faculty activity centers. The effective management of human resources and equipment is necessary to enhance service delivery processes, increase productivity, and reduce unused capacity.

On the Safety Management and Preventive Measures of Mechanical and Electrical Equipment in Coal Mines

With the development of science and technology, the coal mining industry has gradually increased its attention to information construction in the process of development. Coal mine mechanical and electrical equipment is the most important production equipment in the coal mining industry, such equipment has a variety of functions, has strong effectiveness, and plays an important role in promoting the further development of coal mining. However, at present, the domestic management of coal mine mechanical and electrical equipment is not mature, and there is still a certain room for improvement. The safety management content of some coal mine mechanical and electrical equipment has not been improved in time, and there are many problems in the actual operation of coal mine mechanical and electrical equipment. Based on this, this paper deeply analyzes the problems existing in the safety management of mine mechanical and electrical equipment, and proposes corresponding optimization measures.

Manajemen Layanan Laboratorium IPA di Madrasah Aliyah Annuriyyah Jember

Laboratories are uniform in terms of management and availability of complete equipment. Attention is needed to manage the laboratory well. More specifically, the science laboratory includes the fields of Biology, Chemistry and Physics. This research aims to find out how science laboratory services are managed at Ma Annuriyyah Jember. The emphasis of this research is how the head of the laboratory carries out management so that the science laboratory services at Ma Annuriyyah Jember can function well in accordance with the observations that will be made. This research uses qualitative research methods with research data collection instruments using interviews, observation and documentation. The results obtained from this research are that the science laboratory service management process at Ma Annuriyyah Jember is carried out well, both from the ongoing science laboratory program planning and the existing science laboratory management structure, at the Ma Annuriyyah school the science laboratory is not only used for practice. Only, but as a classroom where science laboratory learning takes place.

Mathematical modeling and experimental validation of a novel Circulating Oxygenation Biofilm Equipment (COBE) for the management of decentralized wastewater treatment

The difficulties of management were the key barriers to the promotion of decentralized wastewater treatment in remote areas. In this study, a novel decentralized Circulating Oxygenation Biofilm Equipment (COBE) and its remote management potential based on mathematical modeling were investigated. The COBE is an integrated biofilm reactor that employs drippage aeration and enables oxygenation, filtration, and effluent processes to be controlled, thus providing convenience for controlling. The model for the COBE describing drippage aeration, comprehensive ammonia-related microbes, and corncob carbon source release process was studied to uncover the impacts of operational conditions on decentralized wastewater treatment in the COBE system. The equipment regulation parameter (circulating oxygenation ratio) was found to be linearly correlated with the oxygen mass transfer coefficient. This discovery enabled highly accurate prediction of COD, NH4–N, and TN concentrations in the equipment effluent at various scenarios. The comprehensive ammonia oxidation biological model indicated that the model could duplicate the actual situation of the succession of ammonia metabolizing related microorganisms. Comammox and ammonia-oxidizing archaea (AOA) dominated ammonia metabolism in this equipment rather than conventional ammonium-oxidizing bacteria (AOB). This study could contribute to the Internet of Things system construction of decentralized wastewater treatment equipment, and provide a solution for timely decentralized equipment management in remote areas.

Internet of Things and Digital Twin Technology-Based Management System of Medical Equipment

Background: In recent years medical technology has progressed with the rapid development of medical services and required optimization of medical equipment. However, a lack of effective management methods has led to the inefficient use of medical equipment. Therefore, an effective medical equipment management mode is urgently needed to address these problems and challenges. Methods: The Internet of Things and digital twin technology are applied to intelligent medical equipment management as the current standard of medical equipment management. Results: The intelligent perception terminal can realize the dynamic acquisition of real data, such as the location, process, and efficient use of medical equipment, and help carry out digital, networked, and intelligent monitoring and analysis. Meanwhile, applications such as dynamic management software, real-time positioning software, and space-environment quality monitoring software are being developed. Conclusion: Automatic, intelligent, and visual management of medical equipment configurations, operations, and performance evaluation, combined with good management based on digital twinning, can improve collaborative management efficiency and operation resource support.

The Application of Artificial Intelligence in Medical Diagnostics: A New Frontier

This study reviews the latest progress in the application of artificial intelligence (AI) in the medical field, focusing on the application of AI technology in clinical diagnosis, medical equipment management, dentistry, ophthalmology and surgical care. By analyzing multiple academic documents, this article deeply explores the role of AI in improving the accuracy of medical diagnosis, the efficiency of clinical skills training, and medical equipment management. In particular, the literature review points out the efficient performance of convolutional neural networks (CNN) in processing medical images, and its potential applications in periodontics and ophthalmology diagnosis. At the same time, this article also discusses the ethical and legal challenges faced by AI in the medical field, as well as potential directions for future development. These findings not only reveal the huge potential of AI technology in the medical field, but also highlight the ethical and governance issues that need to be considered when promoting these technologies. Overall, this review provides a comprehensive perspective for understanding the current applications and future development of AI in the medical field.

BTIA-IME: A blockchain-based trusted interactive architecture for intelligent manufacturing equipment

With the continuous development of artificial intelligence, big data, and blockchain technology, the intelligent manufacturing industry will enter a new 5.0 era. In Industry 5.0, attackers can take advantage of the hidden dangers of information transmission among infrastructure, such as smart factories (SF) and intelligent manufacturing equipment (IME), to steal private data, endanger personal safety, and harm the interests of factories. In order to avoid the above phenomenon, this paper proposes a blockchain-based trusted interactive architecture for intelligent manufacturing equipment (BTIA-IME) based on the device layer of the Industrial Internet of Things (IIoT). First, we design the key management smart contract (KMSC) and equipment management smart contract (EMSC) based on Elgamal to implement the IME trusted authentication mechanism that does not require three-party verification to ensure the credibility of IME in SF. Then, we design the data management smart contract (DMSC) based on Elgamal to store the privacy data structure through the “Blockchain-(InterPlanetary File System) IPFS” on-chain and off-chain storage modes to ensure the distributed and trusted storage of private data. After that, an access control list is constructed with the shared private data as the main body to implement the trusted access method of private data to ensure trusted access to private data. Finally, we perform simulation experiments on the proposed architecture. Theoretical and simulation experiments have proved that our proposed architecture is feasible.

Aspects of the use of Drone Photogrammetry in Construction Equipment Management using Artificial Intelligence AI

Abstract The management of construction equipment on a construction site is particularly important for increasing productivity on construction sites. High productivity has financial implications for the economics of construction projects and leads to reduced energy consumption. Reducing energy consumption in construction machinery has an impact on reducing greenhouse gase emissions. Monitoring construction equipment and optimizing movement trajectories is a challenge on a construction site and is possible in real ti me with drone photogrammetry technology. Using this technology, we can track the construction machines and the progress of the works in real time, and later, by using AI technology, the management of equipment on construction sites can be improved in real time.

A Web-based coordinated control platform for source-grid-load-storage of low-voltage stations

In order to improve the analysis and control ability of power consumption in the station area, a load storage analysis and control platform based on the Django Web framework is built. The platform takes real-time data acquisition, analysis, and optimal scheduling as the core to realize the comprehensive management and control of power supply, load, and energy storage equipment in the station area. The browser/server (B/S) mode is adopted to support a variety of interactive operations. The energy data, analysis results, and control status of the station area can be viewed intuitively. The Django Web framework is used to realize the extensible design. The analysis and control of the station area are realized by calling the optimization algorithm. Based on Bootstrap, the responsive layout is realized to improve the availability and accessibility of the platform. The graphics are drawn on the platform through Canvas technology, and the interaction and visualization effects are realized.

Analysis on the Causes and Countermeasures of Mechanical and Electrical Transportation Accidents in Coal Mines

There are many types of mechanical and electrical equipment involved in current coal mine mechanical and electrical transportation, and many workers are not familiar with the operation of mechanical and electrical equipment. Improper operation often leads to operational failures of coal mine mechanical and electrical equipment. The important reason for this phenomenon is that the transportation management of underground mechanical and electrical equipment is not in place, and there may also be incorrect and unreasonable management methods. This situation will directly hinder coal mining work and exacerbate the threat to the safety of workers' lives. Therefore, coal mining enterprises must develop good management measures for underground mechanical and electrical equipment based on the current operating status of the equipment and the company's own development status, reduce operational accidents of mechanical and electrical equipment, and improve normal and stable production in the coal mine.