Maintenance Personnel Research Articles

Bench Studies of Sound Insulation Materials and Vacuum Sound Insulation Panel

There is a problem of protection from high-level sound of city residents, employees of enterprises; to a greater extent, in the workshops of machine-building factories, for example, during stamping, forging and other metalworking processes. Specialists and maintenance personnel are exposed to high-intensity noise near powerful agitators, pumps, engines and other power equipment. Due to these circumstances, it is necessary to constantly improve systems, devices, materials, coatings that reduce the negative impact of high noise levels on people. For this purpose, various soundproof walls, panels, screens, plates are being developed. One of the directions of modernizing sound-proofing fences is the method of using vacuum to design these protective devices. The article discusses the use of vacuum in special sound-insulating panels developed by the authors. The information about bench experimental studies of some sound-proofing materials is given, some results of testing of vacuum soundproofing panels are presented. The research stand and research methodology are described. The features of the stand for the study of sound-proofing properties of flat samples of sound-proofing materials of the same size and thickness are given.

Developing a Program Costs Checklist of Digital Health Interventions: A Scoping Review and Empirical Case Study.

The rate of development and complexity of digital health interventions (DHIs) in recent years has to some extent outpaced the methodological development in economic evaluation and costing. Particularly, the choice of cost components included in intervention or program costs of DHIs have received scant attention. The aim of this study was to build a literature-informed checklist of program cost components of DHIs. The checklist was next tested by applying it to an empirical case, Mamma Mia, a DHI developed to prevent perinatal depression. A scoping review with a structured literature search identified peer-reviewed literature from 2010 to 2022 that offers guidance on program costs of DHIs. Relevant guidance was summarized and extracted elements were organized into categories of main cost components and their associated activities following the standard three-step approach, that is, activities, resource use and unit costs. Of the 3448 records reviewed, 12 studies met the criteria for data extraction. The main cost categories identified were development, research, maintenance, implementation and health personnel involvement (HPI). Costs are largely considered to be context-specific, may decrease as the DHI matures and vary with number of users. The five categories and their associated activities constitute the checklist. This was applied to estimate program costs per user for Mamma Mia Self-Guided and Blended, the latter including additional guidance from public health nurses during standard maternal check-ups. Excluding research, the program cost per mother was more than double for Blended compared with Self-Guided (€140.5 versus €56.6, 2022 Euros) due to increased implementation and HPI costs. Including research increased the program costs to €190.8 and €106.9, respectively. One-way sensitivity analyses showed sensitivity to changes in number of users, lifespan of the app, salaries and license fee. The checklist can help increase transparency of cost calculation and improve future comparison across studies.

An OBB Detection Algorithm of Maintenance Components Based on YOLOv5-OBB-CR

By detecting the position of maintenance components in real-time, maintenance guidance information can be superimposed and important operational guidance can be provided for maintenance personnel. The YOLOv5-OBB-CR real-time detection algorithm is proposed for maintenance component with orientation bounding box based on improved YOLOv5-OBB. The C3 module in the original network is improved to CReToNeXt, which can more effectively enhance the network's ability to learn image features. Considering that the network learning is the labeled rotation box information, the original Loss function CIoU is improved to SIoU with angle loss information, and the improved Loss function can more effectively describe the regression of the target box. The demonstration shows that the mAP@.5 0.95 of YOLOv5-OBB-CR-s (SIoU) is 85.6%, which is 6.7% higher than the original YOLOv5 OBB algorithm.

THE ROLE OF MENTAL WORKLOAD IN INVESTING QUALITY OF LIFE AMONG WORKERS IN THE PHOSPHORIC ACID INDUSTRY

Introduction: Every workplace has potential hazards, one of which is psychological hazards, namely work stress. The stress felt by workers can interfere with their work activities if not controlled immediately. In Indonesia, 11.6–17.3% of the 150 million adult population suffers from stress at work. Moreover, job stress can be caused by various factors. Aims: To assess workers’ quality of work life by analyzing the relationship between mental workload and work stress. Moreover, this research investigates the individual characteristics, mental workload level, and stress level between workers. Methods: This research is a quantitative study using an observational design and a cross-sectional technique. The participants in this study were all 35 maintenance personnel. Mental workload and work stress are assessed using NASA-TLX and DASS-21 questionnaire, respectively. Results: The collected data are statistically analyzed using the Spearman correlation test and the Cramer contingency coefficient correlation test. The results showed that mental workload has a strong relationship with work stress which is in the strong category (r= 0,679) and the direction of the relationship is unidirectional. Conclusion: The conclusion of this study is that the higher the mental workload possessed by workers, the higher the level of perceived work stress. Therefore, the company can reduce work stress by conducting both individual and organizational strategies

The use of clay from the Herpegezh deposit for the production of ready-made compositions for the preparation of drilling fluids

The preparation of drilling fluids from ready-made compositions allows you to reduce costs, including by obtaining the drilling mud of the required composition with an optimal consumption of reagents, simplifying technological equipment and reducing requirements for the qualification of maintenance personnel. One of the most common components of drilling fluids are clays, therefore, one of the important tasks is to study clays from various deposits in order to establish the possibility of their use in the production of compositions for the preparation of drilling fluids. The purpose of this study was to establish the chemical and technological characteristics of the clays of the Herpegezh deposit and to develop recommendations for the preparation of finished compositions. Particular attention was paid to the choice of the method of activation of raw materials, ensuring the maximum possible productivity, in particular, the traditional method of activation and mechanical activation in the disintegrator were compared. Also, as a result of the conducted experiments and processing of their results, the dependences of the technological characteristics of the drilling mud prepared from the Herpegezh clays on the mass fraction of the clay substance were established.

Architecture and design of a remote operation and maintenance master station for power equipment

The study aims to alleviate the pressure of operation and maintenance of primary and secondary power equipment and improve the work efficiency of operation and maintenance personnel. It explores the early elimination of safety hazards in power equipment and hopes to ensure the safe operation of the power grid. This article designs a remote operation and maintenance master station architecture for power equipment, through specialized power operation and maintenance communication protocols and file transmission methods. It summarizes data to the operation and maintenance master station. The data is then analyzed and processed. The operation and maintenance personnel of equipment with safety hazards are promptly notified. Further, the study distinguishes whether faulty equipment needs on-site operation and maintenance through intelligent technology. It provides remote operation and maintenance functions for power equipment. It reduces the number of on-site operations and maintenance personnel. It improves the level of refined management and operation and maintenance capabilities of equipment. The study has a certain reference value for remote operation and maintenance technology of power equipment.

Application of indoor and outdoor integrated collaborative positioning technology in power transportation detection

With the continuous acceleration of the construction of electric power Internet of Things, the structure and scale of electric power system is more massive, the complexity and danger coefficient of field operation is enhanced, and the risk of causing safety accidents is further increased. Therefore, based on wireless sensor network, collecting and transmitting information of personnel and site operation environment, establishing power operation tracking system is of great significance to improve the safety and efficiency of operation and inspection personnel. At present, most of the electric power operation and maintenance personnel are positioned by satellite or wireless WIFI, which has a large error or even cannot be positioned, so this paper proposes a 5G+Beidou fusion indoor-outdoor cooperative positioning technology for electric power operation and inspection service. The fusion model of Beidou carrier phase differential positioning and 5G cellular network positioning is established by using the improved Federal Kalman filter algorithm, which can avoid data pollution caused by Beidou receiver failure or 5G communication module failure in a complex environment, and avoid the inability to locate compared with the common Federal Kalman filter. phenomenon.

The personnel maintenance of primary health care physicians in condition of challenges from menaces to population health

In condition of challenges from menaces to health due to COVID-19 the role of primary health care physicians increases that requires development of management decisions at the regional level. The purpose of the study. On the basis of analysis of medical demographic indicators and data concerning provision of primary health care personnel in the Russian Federation, proposals were made related to reforming of primary health care system in conditions of implementation of general medical practice with purpose to counteract menaces to population health. The analytical and statistical methods were applied. The official statistics data from the Minzdrav of the Russian Federation and Rosstat, results of original researches with content analysis and interpretation were used. The COVID-19 pandemic negatively impacted population health. The indicator of newly detected morbidity in the Russian Federation in 2020 decreased as compared to 2019 from 78024.3 to 75989.7‰oo (by 2.6%). This is the result of decreasing of dispensary and preventive activities among population. In next COVID-19 year (2021), as compared to 2020, indicator of primary morbidity increased to 85531.6‰oo that 12.6% higher than in 2020. The increase occurred in all classes of diseases that caused necessity of rehabilitation of these patients. The COVID-19 morbidity increased up to 2.4 times i.e. from 3391.1 in 2020 to 8085.7‰oo in 2021. The provision of physicians in the Russian Federation was 37.7‰o in 2021. Across the Federal Okrugs differences in indicators made up to 1.3 times and in subjects of the Russian Federation - up to 2.7 times. In conditions of COVID-19 significance of menaces to population health worsened. The situation requires both enhancement of primary health care and implementation of physicians of new formation - general practitioners responsible for patient health. The general practice (GP) widely developed in Russia in the 1990s during last ten years loses its significance in most subjects of the Russian Federation. In 2021, provision of general practitioners in the Russian Federation made up to 0.67‰o. In the Federal Okrugs, difference between indicators made up to 5.6 times. In the subjects of the Russian Federation the difference is enormous - 141.5 times. The article presents and scientifically substantiates prospective functional organizational models of general practice. The established situation with COVID-19 infection requires development of management decisions and measures at the regional level concerning improvement of organization of primary health care and implementation of general practice in conditions of counteracting risks of menaces to population health and health preservation.

Design of Community Inspection Robot System

With the continuous development of the global economy, urban centers have experienced a consistent increase in size. Consequently, the number of schools, parks and residential communities within cities are also on the rise. The increasing quantity of various types of communities has juxtaposed a notable dilemma: a shortage of security and maintenance personnel. In order to address this issue, employing robotic automated inspection within these communities, coupled with autonomous navigation, obstacle avoidance, and AI recognition technology, is proposed. This project aims to alleviate the burden on human staff, improve recognition accuracy, and enhance the overall efficiency of operation and maintenance. This paper analyzes the operational needs of these communities, presents a design concept for a community inspection robot system, and discusses issues that require further research in the future.

Перспективы развития дизельной топливной аппаратуры в ближайшем будущем

The analysis of the positive qualities of Common Rail (CR) fuel equipment widely used in diesels today is given. The possibility of optimal diesel control, high injection pressure, elimination of repeated fuel injections, improvement of fuel efficiency, reduction of the difference in the amplitude of torque fluctuations in the cylinders, very precise regulation of the beginning of fuel supply, a high degree of diagnosability of fuel equipment, the possibility of precise regulation of the uniformity of fuel supply through the cylinders, the ability to ensure optimal regulation of the turbocharger are noted, the ability to turn off a number of cylinders and ensure that cycles are skipped when operating under partial loading conditions. Disadvantages are also presented, in particular, a large number of various elements and sensors, activators and other controls are included in the injection system, as well as the increased demands of CR-type fuel equipment on the purity and quality of diesel fuel. When operating in low-flow modes, the injection pressure is significantly reduced to a value of 60-80 MPa, which leads to fuel overspending, the cost of fuel equipment is about twice as much as classical fuel equipment, the starting properties of diesel (as evidenced by operation) decrease sharply after 500-800 hours of operation, problems arise with maintaining high pressure in the ramp (battery), possible ruptures and leakages of the high-pressure system lead to increased fire hazard of the engine. The reasons for increased carbon formation and loss of operational efficiency and reliability are listed. Using the methods of relative penalty points, the quality of traditional fuel equipment and CR-type equipment was compared. Based on the analysis, a conclusion is made about the scope of application of this new system and traditional classical fuel equipment in the near future. The operating conditions, the qualifications of the maintenance personnel, modern requirements of standards for noise, toxicity of diesel engines and their reliability indicators were taken into account.

Personnel Training for Common Facility Management Issues in Thermal-Energy-Storage Chiller Plant using a Serious 3D Game

Background This study introduces an innovative personnel training method for facility management and maintenance of Thermal-Energy-Storage (TES) chiller plants using a serious 3D game. Training games can improve the decision-making of personnel where they can learn to deal with management of TES chiller plants in the context of this study in an active learning approach. Intervention The research aims to investigate the effectiveness of an immersive learning experience with computerized simulation and synthetic task environments as a training game for facility managers. The serious 3D game adopts a first-person perspective, allowing players to assume the role of a facility manager and actively learn how to address maintenance issues commonly encountered in chiller plants. Methods The study implemented a first-person-based serious 3D game centered around a TES chiller plant. Participants, in the role of facility managers, engaged with the game and followed instructions to gain practical knowledge in managing maintenance issues within a controlled and simulated setting. Results The findings demonstrate increased engagement and interest among personnel when learning how to manage chiller plant issues within a serious 3D game environment. Notably, personnel experienced reduced pressure compared to real-life scenarios, as they navigated the challenges without the presence of a supervisor. Limitations The study’s limitations include a higher proportion of male participants in the qualitative content analysis, which may affect the generalizability of the findings. Additionally, the absence of a control group limits the ability to make direct comparisons with traditional training methods. Conclusion The results suggest that serious 3D games hold potential as an effective training tool for facility management and maintenance personnel. By engaging in active training within simulated and synthetic task environments, personnel can enhance their skills and decision-making capabilities. However, further research with a more diverse participant sample and a control group is warranted to fully evaluate the effectiveness of this innovative personnel training approach.

Bayesian Entropy Methodology: A Novel Approach to Setting Anti-Islanding Protections with Enhanced Stability and Sensibility

The risk of unintentional islanding creation in distributed energy systems poses a significant security concern since unintentional islanding formation could lead to a supply of energy outside of the optimal quality limits. This constitutes a risk for users, maintenance personnel, infrastructure, and devices. To mitigate this problem, anti-islanding protections are widely used to prevent the distributed generator from feeding a portion of the radial distribution grid when a protection device trips upstream. However, the effectiveness of these protections heavily relies on properly tuning protection setting thresholds (such as time delay and pickup). This work proposes a novel approach that utilizes entropy as a model and metric of the uncertainty associated with a particular protection setting. By minimizing entropy, the proposed method aims to improve stability and sensitivity, consequently improving the overall performance of anti-islanding protection. Simulation results demonstrate that the Bayesian entropy methodology (BEM) approach achieves enhanced stability in various scenarios, including frequency transients, and demonstrates a notable reduction in the size of the dataset and computational burden, ranging between 91% and 98%, when compared to related works, with an improvement of the uncertainty achieved. The findings of this study contribute to the development of more robust and reliable anti-islanding protections.

Technology of non-impersonal repair of hydraulic distributors

The technology of non-impersonal repair of hydraulic distributors with round and fl at spools is intended for engineering and technical workers and repair and maintenance personnel carrying out major repairs of tractor hydraulic drive units at repair and technical enterprises, specialized sites, and general-purpose workshops. Hydraulic distributors, repaired in full accordance with the general repair manual, provide at least 100 % of the actually achieved service life of new hydraulic distributors, subject to the rules of operation and maintenance. Technologies for repairing units with the restoration of worn parts using modern methods are noted by the "100 Best Products of Russia" Program in the category "Industrial and technical services".

A Method for Determining the Requirements of Electronic Equipment Maintenance Personnel Based on FAHP and Queuing Theory

A Method for Determining the Requirements of Electronic Equipment Maintenance Personnel Based on FAHP and Queuing Theory

Efficient Multi-Sound Source Localization Algorithm for Transformer Faults Based on Polyphase Filters.

Power transformers play a critical role in power systems, and the early detection of their faults and defects, accounting for over 30%, can be achieved through abnormal sound analysis. Sound source localization based on microphone arrays has proven effective in focusing on the troubleshooting scope, preventing potential severe hazards caused by delays in fault removal, and significantly reducing operational and maintenance difficulties and costs. However, existing microphone array-based sound source localization algorithms face challenges in maintaining both accuracy and simplicity and especially suffer from a sharp decrease in performance when dealing with multiple sound sources. This paper presents a multi-sound source localization algorithm for transformer faults based on polyphase filters, integrating the sum-difference monopulse angle measurement technique into the microphone array. Firstly, the signals received from the transformers are divided into multiple subbands using polyphase filters, allowing for multi-source separation and reducing the sampling rate of each subband. Next, the time-domain signals in subbands subject to noise suppression are processed into sum and difference beams. The resulting beam outputs are transformed into frequency-domain signals using the Fast Fourier Transform (FFT), effectively enhancing the signal-to-noise ratio (SNR) for separate sound sources. Finally, each subband undergoes sum-difference monopulse angle measurement in the frequency domain to achieve the high-precision localization of specific faults. The proposed algorithm has been demonstrated to be effective in achieving higher localization accuracy and reducing computational complexity in the presence of actual amplitude-phase errors in microphone arrays. These advantages can facilitate its practical applications. By enabling early targeting of fault sources when abnormalities occur, this algorithm provides valuable assistance to operation and maintenance personnel, thereby enhancing the maintenance efficiency of transformers.

FOA-BDNet: A behavior detection algorithm for elevator maintenance personnel based on first-order deep network architecture

<p>The operation space of the vertical lift shaft is small, the components are complex, the occluding and different behavior space characteristics are similar, and the unsafe behavior is not easy to detect, which makes the operation safety of maintenance personnel in the elevator greatly threatened. This paper proposes an elevator maintenance personnel behavior detection algorithm based on the first-order deep network architecture (FOA-BDNet). First, a lightweight backbone feature extraction network is designed to meet the online real-time requirements of elevator maintenance environment monitoring video stream detection. Then, the feature fusion network structure of "far intersection and close connection" is proposed to fuse the fine-grained information with the coarse-grained information and to enhance the expression ability of deep semantic features. Finally, a first-order deep target detection algorithm adapted to the elevator scene is designed to identify and locate the behavior of maintenance personnel and to correctly detect unsafe behaviors. Experiments show that the detection accuracy rate on the self-built data set in this paper is 98.68%, which is 4.41% higher than that of the latest target detection model YOLOv8-s, and the reasoning speed reaches 69.51fps/s, which can be easily deployed in common edge devices and meet the real-time detection requirements for the unsafe behaviors of elevator scene maintenance personnel.</p>

Research on Key Technologies of Remote Operation and Maintenance System for Substation Automation Equipment

Abstract With the help of automation technology, the efficiency and reliability of substation operations are synchronized. However, the equipment will operate under abnormal problems for a long time. If the problem is not resolved promptly, the consequences will be unimaginable. For timely detection of problems, this paper proposes a method for the construction of remote operation and maintenance systems. The remote operation and maintenance system is mainly composed of two-factor authentication, responsibility area authentication, and permission authentication. The security of remote operations and maintenance operations is guaranteed with the support of these key technologies. This paper enhances the safety and stability of automation equipment by offering remote wake-up, remote reset, historical information retrieval, and forwarding table monitoring services in the operation and maintenance service module. Adopting IoT technology, the core management module of remote management of master stations is constructed to ensure the safety of remote operations and maintenance data interaction between master stations and sub-stations. Simulation experiments are being conducted to evaluate the performance of IoT technology in remote operations and maintenance interactions at the main station. The energy consumption of the data interaction module of substation automation equipment is 0.19 and 0.012 mA for 1 hour and 1 day, respectively, for the equipment to operate for 5-10 days, where the advantages of IoT technology are reflected. The processing time of the operation and maintenance personnel under the traditional operation and maintenance and remote operation and maintenance modes were analyzed through comparative experiments, and the processing time of the device dead time was reduced from 175.46 minutes to 4.356 minutes after using the remote operation and maintenance system, and the efficiency of the operation and maintenance personnel was improved.

ОЦЕНКА ЭФФЕКТИВНОСТИ ПОДАВЛЕНИЯ АММИАКА В ВОЗДУШНЫХ СРЕДАХ ПРОИЗВОДСТВЕННЫХ ПОМЕЩЕНИЙ С ИСПОЛЬЗОВАНИЕМ БАРЬЕРНОГО РАЗРЯДА

One of the main problems in the industrial production of livestock and poultry products is the neutralization of toxic gases in the air removed from livestock premises. Ozonation is used for this. Ozone is produced in dielectric barrier discharge installations. The disadvantages of the method include the dependence of the electrical characteristics of the dielectric barrier discharge on the parameters of the medium and the generation of nitrogen oxides. (Research purpose) The research purpose is determining the effectiveness of ammonia suppression by ozone generated in dielectric barrier discharge installations at various parameters of the generator operating mode. (Materials and methods) Established the effectiveness of ammonia suppression by ozone at various parameters of the ozone generator operation mode. A 25 percent aqueous solution of ammonia with controlled purging over the surface of the solution was used as an ammonia source. The dependences of the mass concentration of ozone (O3), nitrogen oxides (NOx) and hydrogen sulfide (H2S) at the generator output on the operating mode parameters were studied. It was shown that the range of changes in the concentration of gases varied within the following limits: ozone - from 180 to 4, ammonia - from 80 to 2, hydrogen sulfide - from 4 to 0, nitrogen oxides - from 0 to 130 milligrams per cubic meter. (Results and discussion) It was found that the concentration of ammonia decreased from 50 to 10 milligrams per cubic meter; the time to reach the specified values of the concentration of ammonia in the stream was 20-50 seconds; when ozone is generated in all operating modes, nitrogen oxides are formed in the weight ratio O3/NOx from 1.42/1 to 1/1. The dependences of the generation of ozone and nitrogen oxides on the input voltage of the generator power supply unit were determined. It was noted that the optimal pumping rate of plasma-forming gas (atmospheric air) ranged from 0.8 to 1.5 m/ s; the mass ratio of nitrogen oxides to ozone varies from 0.69 to 0.98, which is unacceptable for premises with permanent residence of animals and maintenance personnel. (Conclusions) It was stated that the results obtained in assessing the rational operating modes of ozonators allow us to formulate technical requirements for the development of a specialized ozone generator adapted for use in agricultural production.

Application of Data Visualization Technology in Fault Diagnosis and Maintenance of Intelligent Electromechanical Systems

There are problems of low efficiency and low accuracy in the fault location and maintenance process of electromechanical systems. In order to solve this problem, this article adopts a comprehensive literature analysis and case study method to conduct in-depth research on the application of data visualization technology in intelligent electromechanical systems. By collecting and analyzing relevant literature, and combining with practical cases, this article explores the specific application methods and effects of data visualization technology in fault diagnosis and maintenance. Research has shown that the diagnostic accuracy of this method is between 94% -99%, and it has good fault diagnosis ability. Data visualization technology plays an important role in the fault diagnosis and maintenance of intelligent electromechanical systems. By visualizing the real-time data and fault information of the system, maintenance personnel can intuitively understand the system status and quickly locate the root cause of the fault.

Integrating extended reality in industrial maintenance: a game-based framework for compressed air system training

In industrial environments, maintenance technologies developed under Industry 5.0 are important to ensure trouble-free production and reduce downtime. Compressed Air Systems (CASs) are an integral part of industrial production processes and require competent and correct maintenance. Maintenance personnel should be equipped with continuous and up-to-date training and their knowledge should be tested. There is a significant gap in the field of interactive educational games to improve the technical skills of the care staff, especially in the field of CAS. This research proposes a theoretical framework for a game based on Extended Reality (XR) technologies adapted for CAS maintenance training. The game leverages the trio of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) to provide immersive and interactive learning encounters aimed at improving technical proficiency, problem-solving skills, and safety awareness among maintenance workers. The aim is to take advantage of the rewards of game-oriented learning, such as enhanced user engagement and knowledge absorption, to increase the effectiveness of training. In this context, the CAS game framework was created with three frameworks: education, game, and CAS. The study concludes by highlighting the potential benefits, research areas, and technologies that underpin the proposed structure.