Equipment Management System Research Articles

Design and Development of an Intelligent Laboratory Management System Based on STM Processors

Abstract In response to the escalating inventory of laboratory equipment, the inadequacy of traditional manual management practices has become increasingly apparent. Current management challenges are underscored by historical data, which reveals a borrowing rate of approximately 30%, a concerning return rate of only about 5%, and an equipment loss rate of 10%. To address these inefficiencies, this paper introduces an advanced, intelligent laboratory equipment management system leveraging STM32 and GM65 technologies, designed to significantly enhance the return rate and minimize equipment loss. The system is meticulously engineered, featuring three integral modules: the scanning module, the core board module, and the communication module. The scanning module employs GM65 technology to rapidly scan and decode QR codes, facilitating the swift transmission of critical data to the core board for intelligent processing and interaction with the laboratory equipment. At the heart of the system, the core board module serves as the central processing unit, adeptly managing data from the scanning module. It intelligently discerns various information types and dynamically updates the TFT-LCD screen with the current status of equipment, ensuring that all users have access to real-time and accurate information regarding the borrowing and returning of equipment. The communication module is pivotal in bolstering the system's connectivity capabilities. Designed with a robust structure, the system is characterized by its simplicity of operation and robust practicality. It not only significantly improves the efficiency of laboratory equipment management but also plays a transformative role in modernizing laboratory management practices. By streamlining the management process and ensuring the optimal utilization of resources, this system provides a solid foundation for the sustainable advancement of laboratory operations.

Development of a human cognition inspired condition management system for equipment

Development of a human cognition inspired condition management system for equipment

Medical Equipment Management System Based on the Concept of Whole Life Cycle

Strengthen the legal, compliant, and rational use of medical equipment and further guide the rationalization of medical behaviors. By utilizing the Internet of Things (IoT) and image analysis technology, collect real-time operation data of the equipment, establish a real-time running database for medical equipment, and cooperate with the 12 key links of the "whole life" of the equipment and the 8+6 management system framework to implement lean management of the efficiency, benefit, and effectiveness of medical equipment usage. It realizes the improvement of the quality and efficiency of medical equipment, cost reduction and cost control, and provides data support for scientific decision-making. This study innovates the management model for the entire life cycle of medical equipment, providing a scientific approach to the management of hospital equipment.

Integrated Face Recognition and IoT-Based Electronic Equipment Management System

This research explores the development of an Integrated Face Recognition and IoT-Based Electronic Equipment Management System, aiming to enhance security and efficiency in equipment lending processes. Utilizing face recognition technology integrated with IoT, the system is designed to automate and secure the return of borrowed electronic equipment. The methodology includes a detailed study of existing management practices, development of a prototype system, and analysis of its effectiveness in a real-world setting. Results indicate a significant improvement in the management and security of equipment lending. The system demonstrates potential for broader application in similar contexts.

Equipment Inventory Using Information Management Methods in the Crib Tool of the Medan State Polytechnic Mechanical Engineering Workshop

To help businesses or organizations manage their inventory of goods more effectively and efficiently, information management is crucial. Businesses can monitor and manage the amount of goods on hand, prevent shortages or excess inventory, and streamline the shipping and receiving process with effective information management. Instead of utilizing a technology-based (computer-based) management system, the equipment management system in the Tool Crib of the POLMED mechanical engineering workshop is still conventional. wherein equipment borrowed by students or other stakeholders is not information management-based and is instead still documented in a form. Therefore, it is impossible to effectively control the quantity, quality, and identity of the tools that are borrowed. And the fact that the equipment is frequently misplaced or lost presents a challenge. The Waterfall method is the approach devised during the research. Software development follows a methodical design called the Waterfall Method. This study used quantitative descriptive research as its methodology. A method or approach to solving research problems in quantitative descriptive research involves characterizing the state of the object under investigation a person, organization, factory, etc. as it is based on real facts at the moment the research was conducted or is being conducted.

Research on Key Technologies for Intelligent Analysis of Escalator Risk Management in Large Transportation Hub

Transportation hubs are an important component of urban transportation systems, and their special equipment such as elevators and escalators have characteristics such as high working pressure, high frequency of use, and complex load changes. Once an accident occurs, it will have immeasurable impacts on public life safety and social stability. Building a smart large-scale transportation hub special equipment management system is the cornerstone of “smart city” construction, reducing equipment failure and accident rates, improving operational efficiency and service quality, as well as reducing operating costs and improving the economic benefits of enterprises. This article discusses the risk management of special equipment in transportation hubs from several aspects, including quality control of equipment maintenance and upkeep, investigation and risk assessment of equipment hazards, training on equipment operation safety, improvement and inspection of safety management systems, and emergency response to accidents. A risk governance intelligent analysis model with five levels of description model, judgment model, prediction model, decision model, and value model has been proposed as an indicator to evaluate whether the process of intelligent analysis of special equipment risk governance is “intelligent”.

Design of Medical Equipment Management System Based on PCA-GRA-BK Algorithm

In recent years, medical technology has developed very well, and efficient management of medical equipment has become one of the key factors in improving hospital operational efficiency. This article proposes a design scheme for a medical equipment management system based on Principal Component Analysis (PCA), Grey Relational Analysis (GRA), and BK (Baker-King) algorithms. This research plan integrates these three algorithms to optimize the decision-making process of equipment procurement, maintenance, and replacement, in order to improve the decision-making efficiency and precision of the system. This study first analyzed the shortcomings of existing medical equipment management, and then compared the effectiveness of traditional management methods and this scheme by designing and implementing the integrated algorithm, verifying its effectiveness. In the decision precision testing experiment, it was shown that the PCA-GRA-BK algorithm based system achieved a precision of 82% and a recall rate of 75% in device classification tasks. In the experiment of resource utilization analysis, the PCA-GRA-BK algorithm significantly improved the efficiency of device utilization and reduced resource waste. In the system response time measurement experiment, the response time of the system based on PCA-GRA-BK algorithm increased to a maximum of 11.72 seconds. In the final user satisfaction survey evaluation, it was found that users felt good about the operation of the system. From the above results, it can be seen that these experimental results not only confirm the effectiveness of the system design based on PCA-GRA-BK algorithm, but also provide specific data support for further optimizing system performance.

Perancangan Desain Sistem Inventori Tool Crib Pada Bengkel Mesin

Information management for inventory is very important to help companies or organizations manage their inventory more efficiently and effectively. With good information management, companies can monitor and control the quantity of goods available, avoid shortages or excess stocks, and optimize the process of sending and receiving goods. The equipment management system in the POLMED Mechanical Engineering Workshop Tool Crib is still conventional, not yet using a technology-based (computer) management system. Where equipment borrowed by students or other stakeholders is still recorded in a form and there is no information management-based recording. So that the number of tools, the condition of the tools and who borrows the tools cannot be controlled properly. And problems/issues arise when the equipment is often not in place or missing.

Environmental and Social Life Cycle Assessment of Waste Electrical and Electronic Equipment Management in Italy According to EU Directives

The current Waste Electrical and Electronic Equipment (WEEE) management system of the European Union to be applied in all member states was introduced in 2002 by the first WEEE directive (2002/96/EC). Since the beginning, the system was intended to improve the management of WEEE and promote circular economy principles in the sector. This study aims at evaluating the environmental and social impacts of the WEEE management system in Italy, with a special focus on collection and recycling in Campania Region (the third more populated Italian Region, Southern Italy). The Life Cycle Assessment (LCA) is jointly applied with the Social Life Cycle Assessment (S-LCA). All five categories of WEEE (R1 to R5) are considered in the assessment. The LCA results show that the extraction of metals and materials from 1 tonne of WEEE collection and recycling generates much lower environmental impacts than the extraction and refining of an equivalent amount of virgin resources. In particular, the results of the environmental LCA highlight that the treatment of 1 tonne of WEEE collected in the Campania Region provides the opportunity to recover several metals such as Aluminum, Iron, Steel and ferrous materials, Copper, Nickel, Lead, and precious metals (Gold, Silver, and Palladium). According to S-LCA, the collection and recycling of 1 tonne of WEEE provides positive impacts to the investigated sub-categories of recipients (i.e., local community and society), except in some cases where the collection may potentially generate negative impacts, expressed by a lower “safe and healthy living conditions” indicator in the local community sub-category. In particular, much more must be done to support small Municipalities towards better collection procedures and integration within the largest Regional and national WEEE valorization networks. Solutions are suggested to improve the transition of the WEEE management system towards a more just environmental and social circular economy model.

Spatio-temporal graph convolutional networks driven by data-physical fusion for parameter prediction of natural gas dehydration system

Triethylene glycol dehydration unit is a piece of essential device for removing moisture from raw natural gas during natural gas production. However, the existing station equipment management systems are mostly collection-oriented with little analysis, lack the effective methods of parameter prediction and fault warning, and the strong coupling between the monitoring parameters is a problem should be study. To solve these problems, this paper analyzes the time dependence and spatial correlation of these parameters. Also, a spatio-temporal graph convolutional networks prediction model driven by data-physical fusion (SG-STGCN) is proposed for constructing the graph structure. Firstly, the signed directed graph model is established based on the physical process, and the weight of each edge is obtained by using the grey relational analysis (GRA). Secondly, by stacking spatio-temporal convolutional modules, the temporal and spatial dependencies over a long range of time are captured to realize multivariate parameter prediction. Then, the real-time monitoring data of a dehydration station are used for analysis. The experimental results showed that the proposed method can achieves the best predict result compared with other methods, and can be used in the fault early warning to maintain high reliability of equipment. Finally, the SG-STGCN has been integrated and tested successfully on the real-time monitoring platform of a dehydration unit.

Construction and effect of information management platform of life science experimental teaching center

To give full play to lab potential and fulfill the unique feature of training talents for valuing practice and seeking innovation, an intelligent, efficient, and open information management platform has been built in the experimental teaching center of life sciences in Northwestern Polytechnical University. This study constructs an intelligent, efficient and open source information management platform. The platform is composed of five modules: comprehensive lab management system, instrument and equipment management system, reagents and consumables management system, laboratory opening platform, and laboratory teaching management system. The use of the management platform has solved the problems of miscellaneous teaching data, insufficient sharing of teaching resources, conflict of course arrangement and low lab open utilization under the traditional management mode. It also stimulates the enthusiasm and initiative of students in innovation and practice, perfects the management mechanism of making teachers play a leading role in experimental teaching, and improves the work efficiency of laboratory managers.

Design and Application of Medical Equipment Management System Based on B/S Architecture and WeChat Official Accounts

In order to solve the problems of equipment comprehensive management in grade A hospitals, such as complicated work, low maintenance efficiency, error-prone, non-standard management process, et al. A set of efficient information-based medical management equipment platform was designed to serve the concept of medical departments. B/S (browser and server) architecture and WeChat official accounts technology were adopted to construct the application end and WeChat official accounts client developed by Web technology, and MySQL server was selected as the system database technology. Asset management, equipment maintenance, quality control management, equipment leasing, data statistical analysis and other modules were integrated into the system, which optimized and standardized the medical equipment management process, improved the work efficiency of equipment management personnel, and improved the opening rate of medical equipment. Intelligent management by means of computer technology can effectively improve the utilization rate of hospital equipment, improve the level of hospital informatization and fine management, and contribute to the informatization development of medical engineering department.

Construction of Power Grid Equipment Management Performance Evaluation Index System Based on Process and Results

As an asset-oriented enterprise, the power grid company's equipment accounts for more than 80% of its total assets, and the external environment has undergone profound changes, putting forward higher requirements for equipment management. At present, the management of power grid equipment is not adaptive. It is necessary to build a performance evaluation index system of power grid equipment management based on the process and results according to the current status and problems of power grid equipment management, analyze the construction effect of the provincial power grid company's equipment management system, and point out the direction for the construction of power grid equipment management system.

A study on the development and apply a measuring tool for the measurement of the performance of medical equipment management system

A study on the development and apply a measuring tool for the measurement of the performance of medical equipment management system

Retracted: Application of Intelligent Medical Equipment Management System Based on Internet of Things Technology.

[This retracts the article DOI: 10.1155/2022/9149996.].

The measurement of the performance of Medical Equipment Management System (MEMS) in public hospitals especially

The measurement of the performance of Medical Equipment Management System (MEMS) in public hospitals especially

Iot-based power detection equipment management and control system

Abstract The development and application scope of the Internet of Things is also becoming more and more extensive. Especially in the application of power testing improved systems, great progress has been made. This article aims to study how to analyze the system detection equipment based on the Internet of Things. This article describes the basic theoretical knowledge of the Internet of Things and power detection improved systems. A clustering analysis algorithm and a support vector machine algorithm based on the Internet of Things are proposed. In the experiment of this article, the scoring items of the expert’s traditional detection system include complex technology, inconvenient use, and incomplete intelligence. Among them, the highest score for complex technology is 8.6 points, the lowest score is 7 points; the highest score for inconvenience is 8.6 points, and the lowest is 8.3 points. It can be seen that related experts believe that the traditional power detection improved system is not only very complicated in technology, very inconvenient to use but also incompletely intelligent. Therefore, it is very necessary to study the system detection equipment based on the Internet of Things.

RFID-cloud construction equipment management system framework: Current issues and user needs

Construction equipment management system onsite significantly influences site productivity. There is a need to address the current issues faced by the practitioner and their needs for the management system so that proper strategies can be implemented. Hence, this paper aims to propose a framework of RFID-cloud construction equipment management system based on the current issues and user needs identified. This study conducted questionnaire survey and semi-structured interview with site staff to achieve the aim. The findings of current issues and site staff’s needs reveal that the current strategy practiced on the site requires improvement, where RFID-based management system can be adopted. The concluded RFID-cloud system framework contributes to the construction industry by introducing how equipment management practice onsite can be transformed from a conventional method to a digital RFID-cloud system.

Design and application of unified control system for laboratory electric energy metering standard device based on RPA

In view of the limited integration of laboratory electric energy metering standard device and production management system, and faced with problems such as ineffective production coordination, low detection data collection efficiency, high data dispersion, and low degree of laboratory resource sharing, the research on the integration technology of AI and RPA-based measurement standard equipment and upstream production management system was carried out, and put forward a method to detect the efficient development of production collaboration and the fusion application of experimental data. Using the above technologies, the unified control system for laboratory electric energy metering standard device based on AI and RPA is developed, which realizes the scheduling control of the laboratory metering standard device verification, accurate and efficient collection and application of detection process data. Comprehensive and strong support for the digital transformation of measurement and mass transmission and quality inspection business. Through practical application, it is verified that the unified control system can seamlessly integrate laboratory metering standard device, realize coordinated control and provide expansion ideas and practical guidance for the promotion and application of digital laboratory construction.

Competence-Based Assessment of Biomedical Equipment Management and Maintenance System (e-Upkaran) Using Benefit Evaluation Framework.

Introduction To establish a centralized inventory management system for the efficient functioning of all healthcare facilities, e-Upkaran (equipment management and maintenance system) was launched in 2015 in the state of Rajasthan. This study is conducted to assess the functioning of e-Upkaran in Rajasthan. Methods The assessment of the e-Upkaran system for primary and secondary healthcare centers was carried out using a systematic review of the literature and a multi-indicator stakeholderquestionnaire. The benefits evaluation framework focused on the system quality, information and service quality, use and user satisfaction, and net benefits utilized for the assessment. A review of the literature was done to highlight the importance of computerized medical equipment management and maintenance systems and appraise the challenges and benefits associated with such systems as compared to the traditional pen-paper register. Information was gathered based on available documents, field observation, and data obtained from specific hospital staff, including the bioengineers and other users of e-Upkaran. Results The finding of this study suggests that e-Upkaran efficiently improves documentation, reporting, maintenance, and management of medical equipment.It is more efficient than the traditional paper-pen system. It is designed to minimize downtime and maintain equipment in good operating condition and has potential benefits in terms of improving information quality, use, and net benefit. The cost of service ratio is within the benchmark value. This system has also considerably reduced out-of-pocket expenditure. Computer proficiency and the workload of other e-health programs pose a challenge in the implementation of this program. Conclusion The e-Upkaran system is competent in terms of improving information quality, use, and net benefit. Other Indian states could also adopt this system to improve their biomedical equipment management and maintenance system.