Maintenance Department Research Articles

Re-engineering human resources to raise morale: An analytical study of the opinions of a group of employees in the Iraqi Drilling Company - Transportation and Machinery Maintenance Department

يهدف البحث الحالي إلى التعرف على دور إعادة هندسة الموارد البشرية في رفع الروح المعنوية للعاملين ، ولغرض تحقيق هدف البحث تم اتباع المنهج الوصفي التحليلي و استخدام البرنامج الاحصائي (Spss,v.23) لتحليل البيانات و التي تبين رفع الروح المعنوية للعاملين بفعل إعادة هندسة الموارد البشرية ، تم تحديد مجتمع البحث في شركة الحفر العراقية / قسم النقل و صيانة الاليات , و أخذت عينة عشوائية ب (98) استمارة ممثلة لمجتمع حجمه (200) عامل و تم تحديدها وفق المصدر (Krejcie&Morgan:1970:607) ومن خلالها توصل الباحث إلى مجموعة من الاستنتاجات من أهمها ( وجود علاقة تأثير قوية بين اعادة هندسة الموارد البشرية و الروح المعنوية الذي يؤشر انعكاس طردي بنسبة قوية لظهور ارتفاع في الروح المعنوية للعاملين في شركة الحفر العراقية – قسم النقل و الصيانة ) أما التوصيات فأهمها (على الشركة الاهتمام بتوفير برامج تدريبية و تطويرية للعاملين لبناء قاعدة مرنة لمتطلبات اعادة هندسة الموارد البشرية) .

BIM-based approach to manage Basra Oil Company projects

PurposeThe oil and gas industry form the main resource of economy in Iraq and constructing any project in such sectors requires a huge amount of expenses due to the unique requirements that oil and gas facilities required in such projects. Therefore, adopting an appropriate technological approach such as building information modeling (BIM) which is unfortunately not adopted yet in Iraq is essential to successfully deliver these projects. Thus, this paper aimed to introduce BIM to Iraq through Basra Oil Company (BOC) which is one of the biggest public oil and gas companies in Iraq.Design/methodology/approachThe related literature of journals articles, conference proceedings and published reports have been reviewed. As a result, firstly: a hypothesis has been derived that is “If Basra Oil Company (BOC) adopts and applies BIM approach instead of the 2D approach currently used to manage its projects, the company can overcome several constraints in managing its projects that associated with such 2D traditional approach”; secondly: homogenous, consistence and reliable web-based questionnaire has been designed as its Cronbach’s alpha equal to 0.897 and 0.711 for BIM benefits and barriers, respectively. This questionnaire distributed to the BOC related professionals to test such hypothesis by investigating their readiness and accepting of BIM approach and to rank BIM barriers based on five-point Likert scale.FindingsBased on the analysis using IBM SPSS Statistics 26 of 115 responses, almost 50% of the respondents had experience 11–15 years, while 22.6% had experience more than 15 years in oil and gas industry construction projects. Those participants were from diverse engineering majors that are: 4.3% Architectural Engineers, 31.3% Civil Engineers, 20% Mechanical Engineers, 22.6% Electrical Engineers and 21.7% from other engineering majors. The respondents’ departments demography was 16.5% of design department, 12.2% of construction department, 20.9% of Project Management Department, 12.2% of Maintenance department, 4.3% of HSE Department, 13% of Production Department and 20.9% of “Other Department.” The study resulted in 1: accepting BIM approach to be an alternative of current 2D-traditional approach used by the company to manage and construct its projects, since mean of collected data is (4.4332), Kruskal–Wallis H test significance values were 0.398 and 0.372; and ANOVA test significance values were 0.433 and 0.599 among Engineering Majors groups and Company’s Department groups, respectively. 2: Disclosed and sequenced BIM barriers in the company based on their criticality. 3: verifying reliably how BIM attributes are important to oil and gas construction projects in Iraq, 4: the company top management and company policies are the most critical potential factors to hinder or adopt and implement BIM in the company, 5: while cost is not seen a critical barrier to implement BIM in the oil and gas sector.Research limitations/implicationsThe limitation of this study is the excluding of decision makers of BOC, thus more profound future studies need to be conducted where top management and decision makers are involved, particularly the present study demonstrated that support of company top management is the most critical factor which can help the company to adopt (BIM).Originality/valueThe study concludes that BIM approach is valuable for managing projects in oil and gas sector in Iraq and identify the originality in output by using the research method. This noble study provides a leverage for enhanced research to adopt and implement building information modeling (BIM) in Iraq as the study originally demonstrates benefits and identifies the critical barriers in BIM implementation to push the boundaries toward adopt Digitalization and reduce CO2 emission in Iraqi oil and gas sector. The study can be used as evidence and platform to encourage professionals and practitioners to present more sophisticated tools of BIM in the oil and gas industry, especially for facility and operation management. These findings achieved via oil and gas experts, and it is first time to achieve such findings from a case study in Iraqi oil and gas sector.

THE IMPORTANCE OF MAINTENANCE PLANNING AND CONTROL (PCM) IN THE PERFORMANCE OF MOBILE EQUIPMENT IN PORT OPERATIONS

Maintenance Planning and Control (PCM) represents one of the most important maintenance departments, as it is responsible for controlling and monitoring the company’s maintenance activities. Collecting and managing data related to maintenance, as well as costs, time, equipment availability index, average time between failures, are part of the scope of PCM management. Ports are responsible for the disposal of products, raw materials, consumer goods, among others. The logistics of these products to the ships is planned and executed with the help of equipment and machinery for handling. It is important that the available equipment available for operations with different types of cargo, be it grains, tanks, containers, others. Thus, the study aims to analyze the maintenance of transport equipment, seeking to present types of maintenance as control tools and indicators. For this reason, a theoretical approach was carried out on the logistics of cargo handling in ports, industrial maintenance, costs and financial and economic viability of the maintenance of which guide the research. The growth scenario needs increased efficiency, availability, ease of transportation combined with reduced expenses, various techniques used in the management of the maintenance sectors, this work proposes a research of the benefits of Maintenance Planning and Control (PCM) for performance of cargo handling equipment in port operations.

Determining The Contract Service Strategy at Coal Terminal Maintenance to Address Contractor’s Inability to Maintain Availability of Fixed Plants in Supporting Shipments Activities at PTKPC a Case Study PTKPC, East Kutai, East Kalimantan, Indonesia

PTKPC, a coal producer, was facing challenges due to a permit transition in December 2021 from Coal Mining Contract of Work (PKP2B) to Special Mining Business License (IUPK). This change increases operational costs with added royalty rates, value-added tax, and profit-sharing obligations. To address this issue, the company decided to streamline contractors in each department in all business units, consolidating various tasks under one umbrella contract. The goal is to provide a big volume of work, potentially lowering rates and reducing PTKPC’s operational costs. However, relying on a single contractor for crucial operations, as seen in the Coal Terminal Maintenance Department (CTMD), introduces risks. The sole contract winner, PTPB, struggles to meet obligations since the contract’s initiation on December 1, 2021. The average contract fulfillment since commencement date is 86% of 100% desired target, disrupting fixed plant Coal Terminal maintenance activities. Physical availability is 93%, below the 94% target, increasing CTMD’s maintenance costs by $0.059 per ton. This research seeks to identify the root causes of PTPB’s inability to fulfill contractual duties and explore alternative solutions. and then from all the existing alternatives, what is the best alternative in responding to this condition. Utilizing primary and secondary data from PTPB’s monthly proforma invoices, contract scope, and CTMD’s monthly reports, the research employs methodologies like problem tree analysis and stakeholder analysis to unravel business complexities and identify root cause of the problems. Qualitative data collection methods, including focused group discussions (FGD) and semi-structured interviews, will be used to determine alternatives. These alternatives will be assessed using the Value-Focused Thinking (VFT) methodology. The Analytic Hierarchy Process (AHP) methodology, assisted by the AHP Super Decision application, will determine the best alternative: the “Implementation of Warnings and Penalties to PTPB”. Implementing this alternative demonstrates PTKPC’s commitment to stakeholders, ensuring contractor accountability without disrupting fixed plant maintenance. Penalty funds will support CTMD’s financial viability, funding additional resources for tasks beyond PTPB’s capacity. This strategy may be applied to other contracts within PTKPC.

Simulation-based optimization of workforce configuration for multi-division maintenance departments

The configuration of human resources in a production company that determines the number of employees at different technical or nontechnical competencies engaged in various operational tasks should be constructed to meet the task requirements above pre-specified expectation levels. Human resource requirements show variation depending on the divisional structures within an organization and their operational dependencies and priorities. A maintenance facility is generally recognized as one of the most labor-intensive divisions in any production company. It employs several workers with diverse technical skills to ensure machinery reliability and availability targets in line with the production plans. The current research study aims to develop a continuous-event simulation algorithm to optimize the maintenance crew configuration and allocation decisions for production companies where different clusters of failure modes are available for multi-equipment operations. This algorithm also simultaneously evaluates the reallocation of the occupied crew for other overlapping maintenance tasks that require similar technical competency. Accordingly, each maintenance division with varying personnel numbers is authorized to maintain particular failure modes. The developed model was implemented for the maintenance department of a surface coal mine where five excavators exposed to diversified random failures are employed. The model input dataset covers three years of maintenance records classified into mechanical and electrical failure modes. The simulation outcomes reveal that the cumulative indirect and direct costs can be minimized for a crew configuration including six electricians and four mechanics.

Developing a competency model for maintenance 4.0 stakeholders

PurposeCompetencies are significant predictors of employee outcome. Nowadays, new technologies are changing maintenance processes and workflow. The role of employees and their competencies will therefore undergo decisive changes in the future. Therefore, a well-designed competency model for maintenance departments is important. The purpose of this paper is to develop a maintenance 4.0 competency model applicable to all industrial sectors by adapting it to the specificities of each sector.Design/methodology/approachThe research methods consist of a comprehensive literature review on the main characteristics of the competency model and the individual competencies needed for the maintenance 4.0 employees. Interviews were conducted in order to validate and prioritize the required competencies for maintenance 4.0 employees identified in the literature.FindingsThe maintenance 4.0 competency model combines the required competencies in maintenance 4.0 and crosses the three hierarchical levels: managers, engineers and technicians. These competencies are organized in terms of four categories: technical, personal, social and methodological. In addition, a degree of importance for each competency is assigned as very important, moderately important and slightly important. As a result, this study identified the essential competencies for maintenance 4.0 stakeholders, where 12 competencies are considered very important for maintenance 4.0 technicians, 19 for engineers and 18 for managers.Research limitations/implicationsThis work has some limitations. First, although the articles related to competencies and their classification were selected very carefully, it is difficult to eliminate the probability of overlooking publications. Second, the limitation of the study is based on the difficulty of implementing the model in a case study, given that a minority of industrial companies have implemented maintenance 4.0 technologies in Morocco.Practical implicationsThis work has practical implications for both individuals and institutions (companies and academies) to cope with new competency requirements in maintenance 4.0. Organizations can use the model in the recruitment process and for the identification of training needs. The results of the research will also contribute to identifying the scope of competencies of the maintenance 4.0 actors (engineer, manager and technician), which, in practice, contributes to the creation of requirements for the candidates applying for a job in the maintenance department. Additionally, educational institutions should make the necessary changes to their curricula to suitably prepare students for the required maintenance 4.0 competencies.Social implicationsThe social implications of the article result from the contribution to the development of maintenance competencies. Individuals can use this model for their own personal development. Furthermore, companies can use this model to define job profiles for vacancies in M4.0. Therefore, using the model for training program implementation has a positive effect on employee job satisfaction and employees ’morale.Originality/valueThis research develops a novel maintenance 4.0 competency model by categorizing the maintenance workforce into three hierarchical levels: managers, engineers and technicians. In addition, the competency requirement is prioritized to three degrees: very important, moderately important and slightly important. According to the previous studies conducted on maintenance 4.0 and employees' competencies, this study revealed that no research has developed a competency model for maintenance 4.0. Hence, this model is unique, generic and integrative since it presents the most relevant competencies for the three hierarchical levels. Moreover, this work combines the results of the literature review and the experts' returns. This model can be useful in the recruitment of new maintenance employees, the evaluation of their performance and the identification of training needs to cope with new changes in maintenance competencies.

Augmented and Virtual Reality to support Corrective and Preventive Actions in maintenance: a framework proposal

Several technologies have been introduced with the Industry 4.0 paradigm to help business stakeholders become smart and more productive. This research work focuses on the application of smart and digital technologies within the maintenance department, providing a preliminary analysis to better understand the advantages and disadvantages that can impact maintenance stakeholders' performance. After figuring out what emerging technologies are most used by each stakeholder working in the maintenance field, a literature review was conducted to analyze how Augmented and Virtual Reality (AR/VR) can support maintenance stakeholders during maintenance interventions: the Corrective and Preventive Actions (ACT) process contained in the UNI EN 17007 standard, i.e., the reference for maintenance processes and associated indicators, was considered. The results obtained from the literature search led to the creation of a framework, which investigates the use of Augmented and Virtual reality within the ACT process.

Industrial Small Data: Definition and Techniques for Data Augmentation in Manufacturing

Manufacturing companies are increasingly applying machine learning techniques for data-related engineering problems, e. g. in quality, maintenance, or product design departments. However, the successful application of machine learning is impeded by the lacking availability of sufficient data. Datasets are often small and imbalanced for industrial use cases. This research work defines the term “industrial small data” and provides a categorical overview of manufacturing processes in academia and industry characterized by it. Furthermore, this work summarizes related data augmentation techniques employed to enable the application and improve the performance of machine learning models for typical manufacturing use cases.

Airworthiness Analysis in the Maintenance Department to Improve the Safety Rating in the Aircraft Industry: Indonesian Aviation Case

Airworthiness Analysis in the Maintenance Department to Improve the Safety Rating in the Aircraft Industry: Indonesian Aviation Case

A Data-Driven Approach to Reliability and Fault Analysis in Industrial Maintenance

Statistical analysis of reliability and failures in manufacturing practice. Example of processing service repair records of a maintenance department in an industrial plant combined with operational data collected by Condition Monitoring technology. Demonstration of MTTR and MTBF parameter calculations and presentation using non-parametric statistical methods.

Unmanned Aerial Vehicle Based Power Pole Localization Using Image Stitching

When facing natural disasters, power transmission and distribution towers are prone to tilting, collapsing, and other situations, which can easily lead to line faults and subsequently cause power outage incidents. In order to quickly and accurately locate abnormal towers and restore power supply promptly, the power maintenance department typically employs unmanned aerial vehicles (UAVs) for post-disaster inspections of power line towers. Traditional methods for UAV ground target localization mainly rely on the UAV’s own position, attitude, and onboard sensor information to indirectly calculate the target’s position. This method is influenced by the Global Positioning System (GPS) and Inertial Navigation System (INS), relying on high-precision sensors. To achieve precise positioning of power line towers with simplified equipment on UAVs, this paper proposes a visual passive localization method based on ground control points. Addressing the sparse distribution of ground control points, a solution based on image stitching is introduced to overcome difficulties in localization caused by insufficient ground control points.

The investigation of the frost resistance of the aggregate-sand mixes

Problem. Recently there is a steady trend to the increase of the intensity of traffic and of the loads from the wheels of the rolling stock on the whole structure of the road pavement, therefore during the building of the road pavement layers the most important thing is a rational choice of the materials for the base layers and for the top layers which will provide the performance of the entire structure during the designed service life under the working conditions which are getting worse all the time. Nowadays the most widespread material for the road base layers is aggregate mix strengthened by cement. One of the ways of the base layers materials improving is the increase of their frost resistance. One of the ways to solve this problem can be the different additive and fibers usage as a reinforcing component of the aggregate mix. But until today the influence of the internal factors such as size of mineral grains, granulometric composition and binder content on the indexes of frost resistance is still not investigated.
 Goal. The aim of the research is the investigation of the maximum grain size and content and also mineral binder concentration influence on the indexes of frost resistance of the aggregate mixes strengthened by cement. Methodology. To achieve this goal in the laboratory of the Department of Highway Building and Maintenance named after O. Birulia the samples of sand, fine-grained, medium-grained and coarse-grained aggregate mixes with cement content from 2 to 10 % were prepared. Results. For the frost resistance indexes determination of the aggregate mixes of different compositions strengthened by cement according to the maximum grain size the cement concentration influence on the grade strength indexes was found. The research results have shown that: with the increase of cement content the compressive strength indexes in the fine, medium and coarse-grained mixes are increasing; the increase of the maximum grain size of the same cement concentration shows that compressive strength and tensile strength indexes are increasing. The repeated freezing and thawing is one of the main aggressive factors of the external environment influence which reduces strength and durability of the materials, therefore the influence of this factor on the compressive strength and tensile strength was evaluated. In Ukraine according to the current standard the frost resistance of the aggregate mixes is evaluated only in terms of compressive strength index of samples which were subjected to certain number of freeze-thaw cycles. It is determined that the aggregate mixes with the same cement content with larger mineral grains in its composition have higher indexes of the frost resistance coefficient. Also it was found that the influence of the freeze-thaw cycles is more informatively shown at the samples testing according to the split tensile test. Conclusions: 1. The increase of the binder content in the composition of strengthened aggregate mixes leads to the decrease of the freeze-thaw cycles influence on the compressive strength and splitting strength for all studied compositions of aggregate mixes. 2. The aggregate mixes strengthened by the same cement amount with the larger size of mineral grains in its composition have higher values of frost resistance coefficients in comparison with strengthened aggregate mixes with smaller maximum size of mineral grains in its composition. 3. The influence of the freeze-thaw cycles is showed more informatively by the split tensile scheme.

Influence of Leadership Communication in Fostering Employees' Safety Commitment in Oil and Gas Industry

Over the span of decades, sustained research efforts have been dedicated to the realm of occupational safety and health practices within high-hazard work environments. This focus stems from the alarming frequency of accidents and injuries occurring within these settings. Recent research findings have consistently underscored the pivotal role of human factors – encompassing individual perspectives, communication, attitudes, and behaviors – as the chief catalysts behind such unfortunate incidents in high-risk workplaces. Nevertheless, the trajectory of these accidents and injuries can be altered, and the toll mitigated, by scrutinizing the safety commitment of employees. This commitment, crucial for ensuring safer work environments, can be cultivated through consistent interaction and communication with leaders. This interaction serves to enhance employees’ knowledge and awareness concerning safety practices. In this context, the current article delves into the profound impact of leadership communication on employees’ safety commitment within the oil and gas industry. Employing a quantitative approach, the study relied on survey-type questionnaires to fulfill its objectives. From maintenance and operation departments, a random selection of 260 technical employees participated as respondents. The findings convincingly establish that leadership communication exerts a substantial and significant influence on employees’ safety commitment.
 Keywords: OSH, leadership, communication, safety commitment, oil and gas

Reducing Maintenance Costs for Government Projects in Iraq Using Performance Indicators

Reducing Maintenance Costs for Government Projects in Iraq Using Performance Indicators

Review of Classification and Prevention of Subgrade Defects

Subgrade defects classification is one of the important means for highway management and maintenance departments to prevent and reduce disaster, and it is also the basis for using engineering analogy methods to prevent subgrade defects. For this reason, firstly, subgrade defects are divided into slope defects and subgrade subsidence defects according to the definition. and the existing subgrade defects classification methods are divided into single-factor index classification method and multi-factor index classification method, and through comparison, it is concluded that the multi-factor index classification method is better. Finally, the prevention and control measures of the existing subgrade defects are summarized from three aspects: optimization design, foundation reinforcement and improvement of drainage facilities. This will provide reference and ideas for the classification and prevention of subgrade defects.

Fuzzy multicriteria evaluation and trends of asset management performance: A case study of Spanish buildings

Asset management has an increasingly important role in organisations, as it can affect productivity and cost effectiveness, the useful life of facilities, the quality of processes, compliance with standards and safety and environmental laws, and more recently, to ensure more sustainable operations and use of resources. However, despite its importance in the provision of services to users, the buildings sector is deficient in contributions in the literature that: a) use an objective multicriteria model, and those developed in a fuzzy environment are even rarer; b) analyse the evolution of asset management in a country over an extended period of time; c) use weightings for each factor analysed, taken from judgements provided by experts in the buildings sector; d) consider all the full data for the sector, rather than average values; e) analyse the buildings complete sector and according to the size of the building. This paper, therefore, sets out a fuzzy multicriteria model for analysing the evolution of the asset management performance of the buildings sector by size (small, medium and large) in Spain from 2000 to 2020. The weightings of criteria and sub-criteria will be calculated based on the judgements of four experts in Spanish maintenance. 229 surveys carried out by the Spanish Maintenance Association are used, looking at all the information provided, rather than average values, developing discrete probability distribution functions to allow the uncertainty of the historical evolution of the asset management of buildings in Spain to be calculated. The average utility variation over the period 2000–2020 in the sector is 1.36 %. This value, although positive, is very low to cover a period of 20 years, and it seems that maintenance departments are not adapted to the new challenges of Industry 4.0.

Sourcing Strategies and Organizational Performance of Muranga Co-Operative Creameries Kenya

Purpose: The general objective of this study was to establish the influence of sourcing strategies on organizational performance of Murang’a Co-operative Creameries in Kenya. Specifically, the study sought to establish the influence of single sourcing strategy, multiple sourcing strategy, delegated sourcing strategy and parallel sourcing strategy on organizational performance of Murang’a Co-operative Creameries in Kenya. The theories anchoring the study comprised of Agency theory, Network Theory and Systems Theory.
 Methodology: This study utilized a descriptive research design. The target population comprised of Murang’a Co-operative Creameries where the units of observation comprised of employees from human resource department, quality assurance department, production department, maintenance department, sales department and accounts, finance department in Muranga Co-operative Creameries. A total of 76 employees were targeted in the study. Primary data was utilized in the study and collected using semi structured questionnaire that were administered by drop and pick methods. The research used a mixed approach to data analysis. Descriptive analysis involved use of measure of central tendency and standard deviation as a measure of dispersion. Inferential statistics comprised of both correlation and regression analysis. Statistical Package for Social Sciences (SPSS) version 24.0 was used to generate the statistics. The results of the study were presented in form of tables and figures.
 Findings: The study established that single sourcing strategy, multiple sourcing strategy, delegated sourcing strategy and parallel sourcing strategy bears a positive and significant influence on organizational performance of Murang’a Co-operative Creameries in Kenya. This is shown by beta values of 0.216, 0.549, 0.406 and 0.315 and significant values of 0.011, 0.000, 0.000 and 0.003 respectively. The results implies that increasing the independent variables with one unit results to increase in the levels of organizational performance of Murang’a Co-operative Creameries with the respective beta units.
 Unique contribution to theory, practice and policy: The study provides recommendation to Murang’a Co-operative Creameries to enhance the levels of sourcing strategies comprising of single sourcing strategy, multiple sourcing strategy, delegated sourcing strategy and parallel sourcing strategy since the practices positively and significantly influences organizational performance.

Research on Safety State Evaluation of Cable-Stayed Bridge Structures across the Sea

In response to the lack of relevant research on the health monitoring system and assessment of the structural safety status of a cable-stayed bridge across the sea, the real-time monitoring data was determined by the health monitoring system installed on the bridge structure. Strain and displacement data for the bridge structure were analyzed and processed. Based on operational research principles, a safety condition assessment of the Channel 1 Bridge was conducted using the Analytic Hierarchy Process (AHP). First, the reserve strength method is applied to determine the weight proportion of monitoring indicators such as strain and displacement. Secondly, the weight proportion of each monitoring indicator at different cross-sectional positions is determined. Then, the hierarchical division of the cable-stayed bridge structure is performed from the lowest layer, and the rating level of the Channel 1 Bridge structure is obtained using the variable weight synthesis method. This provides a basis for management decisions in the bridge maintenance department and serves as an example for future safety assessments of medium-span cable-stayed bridges over the sea.

ANALISIS RISIKO KESELAMATAN DAN KESEHATAN KERJA DI PT VAN OORD BATAM

PT Van Oord Batam is an international company in of Batam. Based on the data from 2020-2022 there have been several cases of work accidents, to reduce accidents at workpace, it is necessary to conduct a program of prevention accidents. Risk assessment includes hazard identification, potential hazard analysis, risk assessment, risk control, monitoring and evaluation. In the process of identification and conducting analysis of potential hazards can use the Hazard and Operability study method. The Result is: there are 15 levels of risk of rotation of grind, splashes of steel dust of the ship wall, material emitted, noise emitted by the compressor, the splash of the wall paint of the vessel, the noise removed by chipping machine, a noise released by the grind, a fire splash when using a grind, exposed to welding light, the heat removed of the welding machine, brushes removed, brush noise, paint and tinner chemicals, dust removals from the wind of the Compressor, smoke removed during welding. The solution in the control or prevention of work accidents in the maintenance department of PT VAN OORD BATAM is the improvement of discipline in the use of PPE as well as adding to the K3 training program.

Wildfire monitoring technologies of transmission line corridors based on Fengyun-3E satellite imaging

Facing towards the Carbon Neutrality goal by 2060, renewable energy sources are boosted in China in the past decade. Either these renewables or power systems are sensitive and vulnerable to natural disasters, such as wildfire and typhoon. In this paper, a fire spot identification algorithm is proposed for wildfire disaster occurred in transmission line corridors based on Fengyun-3E (FY-3E). It mitigates the effect of large observation of solar zenith angle, as well as changes of satellite views, on the infrared channel detection. And cloud information under complex atmospheric conditions is analyzed to extract the cloud pixel fire spot, which decreases false ratio of fire-spot alerts. According to the analysis of hybrid pixel linear spectrums, the fire-spot detection sensitivity of FY-3E is four times as that of geostationary meteorological satellites. The effectiveness of the proposed algorithm was confirmed by an application in the Shanxi province power grid of State Grid in China. It shows that and the FY-3E has a superiority in wildfire monitoring for power system in terms of fire detection sensitivity, spatial range accuracy, and positioning accuracy. Compared to geostationary meteorological satellites, the fire locating accuracy of FY-3E is increased by more than one-fold. This research can assist the operation and maintenance departments of transmission lines to rapidly detect wildfire, thereby reducing the damage of wildfires on the power grid.