Facility Management Research Articles

BIM for management, operation and maintenance of facilities: scientometric and systematic review

Resumo Nos últimos anos a análise das condições de empreendimentos durante a fase de operação tem ganhado atenção, inclusive com o uso do Building Information Modeling (BIM). Neste âmbito, esta pesquisa tem por objetivo delinear as fronteiras do conhecimento e identificar direções de pesquisa futuras no que diz respeito aos usos do BIM para fins de gestão, operação e manutenção de instalações. Foi empregado um método misto de revisão que associou a análise cientométrica e revisão sistemática da literatura. Para condução da revisão inicialmente foram identificadas 4050 publicações da base de dados Scopus, que foram filtrados por meio do protocolo PRISMA e resultaram em 1004 publicações a serem analisadas. A frequência de fontes e citações e as redes de coocorrência de palavras-chave, de coautoria e de países compuseram a primeira análise. Em seguida, a análise sistemática do conjunto de dados foi realizada com o agrupamento das pesquisas em oito categorias diferentes. Como resultado, foi possível identificar que o campo “BIM para gestão, operação e manutenção das instalações” está em crescimento e que as finalidades de aplicação neste âmbito têm sido ampliadas, além de haver uma associação promissora das tecnologias emergentes com o BIM para este fim.

Global Perspectives on Healthcare Waste Management and Bibliographic Mapping during the Crises of COVID-19

The lack of proper waste management of health care facilities can have a significant negative health impact on the global population. This study provides a critical view on the current state of the existing healthcare waste management practices used in healthcare facilities around the world during the Coronavirus disease 2019 (COVID-19) pandemic outbreak. The increasing amount of COVID-related healthcare waste was analyzed and classified to provide justification for the urgent need to develop waste management standards that ensure safe containment and diversion of hazardous and non-hazardous wastes through recycling, reuse and repurposing. The waste handling, treatment, and disposal management of healthcare waste from various COVID-infected locations such as homes, quarantine centers, camps, and hospitals have been reviewed. A total of 100 documents on COVID-19 related healthcare waste were published on the Web of Science database over the 2020-2022 period. Innovative solutions for effective waste treatment and disposal, related government policies and regulations, and literature survey supported by VOSviewer-aided detailed bibliographic analysis are presented and critically discussed. Thus, the present research output advocates for a paradigm shift towards circular economy principles in healthcare waste management, emphasizing waste reduction, recycling, and recovery, and encourages global cooperation to develop resilient, crisis-responsive waste management systems.

Micro-Incubator Protocol for Testing a CO2 Sensor for Early Warning of Spontaneous Combustion

A protocol for detecting the potential occurrence of spontaneous combustion (SC) in stored cottonseeds and peanuts using a micro-incubator is described. The protocol indicates how to quantify CO2 production rates and final CO2 levels in wet versus dry cottonseed and peanut samples, which can provide crucial data for the early detection of SC risk in storage facilities. The experimental design utilizes a micro-incubator to simulate conditions found in large bulk crop storage. Parameters monitored include CO2 concentration, temperature, and relative humidity. The protocol includes preparation methods, experimental procedures for both control (dry) and wet seed tests, and test termination criteria that allow for safe experimentation of likely pathogenic fungi. The protocol has three replicates for wet and dry conditions. The protocol is intended to facilitate future experimental studies and ultimately contribute to the development of a consistently reliable early warning fire detection system for SC in cottonseed and peanut warehouse facilities. A consistently reliable fire detection system would address a critical need in the cotton and peanut industry for improved fire risk management and insurability of storage facilities.

Common open source WebGIS platform for spatial and non-spatial data to enhance health services in Sri Lanka

This study explores the transformative potential and current limitations of Geographic Information Systems (GIS) in the context of Sri Lanka's health sector and broader development initiatives. Despite the global GIS market's expected growth to billions by 2025, driven by its adoption in infrastructure, urban planning, and the integration with emerging technologies, its application in critical areas such as public health, disaster management, and citizen services remains underutilized. This underutilization stems from a lack of ground-level information, limited knowledge of GIS capabilities, restricted access to essential geospatial data, and the high cost of GIS software. This paper discusses the significant hurdles in obtaining updated and comprehensive citizen, household, and health-related information, which impedes effective planning and decision-making within the health sector of Sri Lanka. It further examines the initiatives by the Ministry of Health, supported by the Asian Development Bank, to implement a GIS-based Health Mapping System focused on infrastructure and inventory management of health facilities, yet lacking in integrating critical citizen data for demand analysis of health services. The study underscores the necessity for a comprehensive "Geographical Citizen Information System for the Health Sector in Sri Lanka" akin to those in developed countries, to host, process, and analyze spatial and non-spatial information for enhanced policymaking and development planning. Through an analysis of current challenges and the exploration of potential solutions, this paper advocates for an integrated approach to harness the full capabilities of GIS technologies, thereby enabling more informed and effective governance in Sri Lanka’s Health sector.

Management of Infrastructure in Supporting the Implementation of the Merdeka Curriculum

Infrastructure management is the most important thing in supporting the implementation of Merdeka curriculum in schools. This study aims to describe and analyze the management of facilities and infrastructure in supporting the implementation of the Merdeka Curriculum and describe and analyze obstacles and solutions to overcome the gap in facilities and infrastructure in supporting the implementation of the Merdeka curriculum in SMP Negeri Keluang. Data collection techniques in this study used interview, observation, and documentation techniques. In the interviews, researchers involved principals, treasurers, wakasapras, and teachers. Data analysis techniques in this study include data reduction, data presentation, conclusions, and data validity using triangaluasi. This study concluded that the management of infrastructure facilities to support the implementation of the Merdeka curriculum at SMP Negeri Keluang has been carried out well by management functions. This study contributes to the principals in Indonesia to apply management of facilities and infrastructure where they would implement the Merdeka Curriculum.

Regional Framework Towards Establishing Treatment, Storage, and Disposal (TSD) Facilities for PV Waste Management in the Philippines: A Case Study of Laguna Province

Abstract. The accelerated adoption of photovoltaic (PV) systems for renewable power generation in the Philippines will yield a tremendous amount of PV waste. However, the country lacks a comprehensive framework for understanding PV module waste volume growth and optimally siting Treatment, Storage, and Disposal (TSD) facilities for PV waste management based on minimum siting factor. The study aims to develop a regional framework that utilizes a geographic information system (GIS)-based approach to find the potential sites and optimal locations of TSD facilities in Laguna, Philippines, based on the estimated PV module waste growth of solar energy systems with service contracts and minimum siting criteria under Department of Environment and Natural Resources (DENR) Administrative Order 2013-22. By 2060, the projected amount of PV module waste in Laguna province will be around 162,230 metric tons based on the waste projection results. The suitable sites cover around 19,720.5 hectares or 11.21% of the total land area of Laguna, which were determined by various siting factors that encompass social, economic, and environmental factors and obtained using binary suitability analysis and vector overlay analysis. The optimal locations of the two TSD facilities were identified using strategic positioning based on hotspot analysis, clustering algorithm, and proximity analysis. Consequently, the distance and GHG emissions of the two optimal locations were calculated. Indeed, the approach will serve as a guide for policymakers and other stakeholders in understanding PV module waste growth and strategically and optimally position TSD facilities on suitable sites for efficient and effective PV waste management.

ORGANIZATION OF METHODOLOGICAL PRINCIPLES OF THE STATE INNOVATION POLICY IN THE SPHERE OF INFORMATIZATION OF THE HEALTH PROTECTION SYSTEM OF UKRAINE

The article highlights the key issues related to the need to modernize the health care system, globalization and integration into international structures, health care reform. In Ukraine, the process of health care reform is underway, which involves increasing the efficiency of the medical services system, their availability and quality. Innovations can accelerate these processes, in particular through the introduction of digital technologies (e-health, telemedicine), automation of management of medical facilities, development of remote diagnosis and treatment. The state innovation policy will allow to more effectively prepare for similar challenges in the future through the development of new vaccines, diagnostic methods, monitoring systems and management of medical resources. Support from the state (for example, through preferential taxation) to the development of the private medical services sector will reduce the burden on the state budget. In addition, it contributes to the attraction of investments in this area. Therefore, the state innovation policy in the field of health care is a relevant tool for ensuring the sustainable development of the health care system of Ukraine, increasing its efficiency and competitiveness, which meets the modern challenges and needs of society. The authors analyze the key aspects of the state policy aimed at the informatization of medical institutions, in particular, the digitalization of medical services, the introduction of electronic medicine, the creation of unified information platforms and patient databases. The article examines the importance of developing a clear methodology for the implementation of innovative solutions, as well as the role of the state in creating favorable conditions for the informatization of the health care system. The authors also analyze the international experience and the possibilities of its adaptation for Ukrainian realities, emphasizing the need to establish effective cooperation between state bodies, medical institutions and technological companies. The article concludes about the importance of an integrated approach to the informatization of the health care sector in order to improve the quality of medical services and increase the efficiency of medical resource management.

A Study on the Water Management Knowledge of Traditional Villages from the Perspective of Stormwater Resilience—A Case Study of Changqi Ancient Village in Guangdong, China

With the advancement of resilience concepts, enhancing resilience capacity has become an effective approach to addressing rainwater and flooding issues. Most rural planning and construction efforts adopt urban planning models from economically developed regions, often leading to surface hardening, which subsequently causes drainage difficulties and severe surface water accumulation during the rainy season. In contrast, traditional Lingnan villages, exemplified by Guangdong’s Changqi Ancient Village, continue to function normally in flood-prone areas, suggesting that their water management knowledge merits investigation. Previous research on rainwater management in traditional Chinese villages has predominantly been qualitative, lacking scientific data support. This study employs an eco-social resilience perspective, combining field surveys and interviews with villagers, and utilizes the SWMM (Storm Water Management Model) software to conduct both qualitative and quantitative analyses of Changqi Ancient Village. The findings reveal the following: (1) The SWMM effectively quantifies rainwater and flood management in traditional villages. (2) From an ecological resilience perspective, the village’s geographical location is crucial. The topography, along with a rainwater regulation system comprising rivers, ponds, ditches, and permeable pavements, significantly influences the village’s drainage performance. (3) From a social resilience perspective, community participation is vital to the long-term stable development of traditional villages. This includes post-disaster collective fundraising by villagers for the restoration of rainwater and flood management facilities, the formulation of village regulations, and the construction and restoration of spiritual sites. (4) From an eco-social resilience perspective, the eco-social resilience system exhibits adaptive cyclical characteristics, where the geographical environment and the local economy significantly shape the ecological spatial patterns of Changqi, while positive interaction between nature and human society ensures the system’s dynamic equilibrium.

The Development of Operational Model Integrating Digital Technologies into Public Mental Healthcare Services in Nigeria

The availability and utilization of digital technologies can leverage the challenges of the sharp-depleting workforce due to the consistent migration of healthcare professionals (HCPs), the alarming ratio of the number of patients to HCPs, discretional use of digital technologies among HCPs in providing effective therapeutic interventions and mental healthcare services. This study aimed to develop an operational model that integrates digital technologies in mental healthcare service delivery for public facilities in Nigeria. The practice-oriented theory guides the development of the model. A qualitative method assessed the digital technologies used during the COVID-19 pandemic. A non-probability, purposive sampling technique that employed the snowball method was used in selecting the sixteen (16) HCPs from four (4) neuropsychiatric hospitals in South-West Nigeria. Thematic analysis was conducted on qualitative data. Findings from the qualitative analysis revealed several challenges in providing adequate and efficient services in public mental healthcare facilities in Nigeria, such as human resource challenges, brain drain, lack of infrastructure, and strains on HCPs. Findings from this study indicated that digital technologies are sparingly utilized in public mental healthcare service delivery due to a lack of policy and framework. HCPs perceive digital technologies to be beneficial to themselves and their clients. The highlighted benefits to patients are reduced stigmatization levels, decreased financial burden, enhanced accessibility to therapists, strengthened adherence, mitigated relapse incidences and improved intervention. The transition from the traditional/conventional space of mental healthcare service delivery to digital space requires a collaborative approach with Computer scientists (software developers, database administrators), Data scientists, investors, stakeholders and mental HCPs. The proposed model serves as a contemporary framework that the Government, policymakers in the Ministry of Health and management of mental health facilities in Nigeria can adopt, providing the needed awareness of the benefit of technological intervention.

Climate resiliency of a tailings management facility: case study of Mont-Wright mine

ABSTRACT This study investigates the climate resiliency of the Mont-Wright mine tailings management facility (TMF) in Quebec, Canada, with a focus on tailings erosion and flooding. Ultra-high resolution (1 km) climate simulations of the global environmental multiscale (GEM) model, spanning the current (2001–2020) and future (2041–2060) periods, form the basis of this study. Comparison of GEM model outputs against gridded observation data suggests reasonable performance of the model in simulating TMF-relevant climate variables, giving confidence in the model. The analysis indicates potential increases in tailings erosion rates of up to 6% (0.01 g/m2s) for the future period due to elevated wind-induced shear stress. Floods, represented in terms of probable maximum flood, reveal future increases in magnitudes of up to 20% in summer/fall for durations of 12–72 h. Increases of up to 17% are projected for spring for the 72-h duration, with decreases noted for other durations due to precipitation efficiency reductions. The projected small increases in erosion rates, in absolute terms, are not deemed to be of any major concern. As for projected increases in flooding, Mont-Wright mine’s climate-change adaptation strategy, which is aligned with existing Quebec guidelines, seems reasonable to mitigate flooding impacts.

Research of Options for Constructing Information Management Systems Based on Network Models of Queuing Systems

The use of information management systems (IMSs) for the management of technical facilities is currently one of the directions for further improvement and increase in the effectiveness of the use of technical facilities in solving their target tasks. The existing modern IMSs are a set of hardware and software tools designed for collecting, processing and storing information and management. In the presence of a large amount of information and contradictory factors affecting the quality of management, making informed and timely decisions in the management process is impossible without the use of IMSs. The IMSs currently being developed are, for the most part, specialized systems and are designed to solve specific tasks. In this regard, the development and design of IMSs should be carried out taking into account the relationship with the target indicators and features of the management facilities, the results of a comprehensive analysis of information about the IMS elements in the process of functioning, and structural and algorithmic parameters that affect performance indicators. The use of mathematical models for the study of options for the construction of an IMS is the basis for the design and development of devices and subsystems of an IMS. The IMS models currently being developed make it possible to conduct research for single-stage management processes with the presence of similar service facilities in the system. At the same time, modern technical facilities and control systems are complex complexes with cyclically repeating control processes of various types of means. As a rule, such complexes have a set of parallel operating devices (control channels) that provide control of different types of objects at various stages of information processing. In this case, the structure of the IMS must be represented as a multiphase multichannel technical system in which the process of simultaneous management of several objects of various types takes place. In this regard, the purpose of the article is to develop a mathematical model of an IMS with two phases of management and the presence of an arbitrary number of serviced different types of management facilities. The basis of the model is a multiphase CFR network model with a limited waiting time for an application in the service queue. The study on the model allows choosing an option for building an IMS, in particular, choosing the optimal number of control channels for various types of objects according to the criterion of optimality and restrictions on the cost and time of management. An algorithm for selecting an option for building an IMS has been developed, and an example of calculating the number of control channels for managing three types of objects is given.

A study on the spatial distribution and optimization strategies of day care centers for the elderly

Background: At present, the degree of ageing in China is becoming severe, especially in Shanghai, which is the largest city with the highest degree of aging in China. How to adjust the community to effectively meet the needs of the elderly groups has become the focus of social attention. Objectives: In this study, spatial analysis was used to explore the matching degree of the elderly population with the distribution of day care centers in Xuhui District, Shanghai, China, to explore the problems, and to propose optimization strategies with a view to providing feasible suggestions for the construction of old-age daycare. Methods: This research adopts the methods of literature study, map analysis, questionnaire survey, especially tries to use the spatial analysis software of Arc GIS in order to set up a spatial database of Xuhui District's elderly population based on street administrative territorial entity. Results: The results show that the quantity and quality of the day care centers in Xuhui District can not meet the actual needs of the elderly. Secondly, the services provided in daycare centers deviate from the actual needs of older population. Thirdly, the day care service content lists are quite homogeneous, which neglects the diversified and personalized needs . Main Contribution to Evidence-Based Practice: From the perspective of spatial distribution study, this article enriches the theory of the construction and management of the elderly care facilities in urban areas, and provides reference for the formulation of aging policy. Meanwhile, it gives some suggestions on optimizing the spatial distribution of community facilities to fulfil the actual needs for optimal matching of the elderly care resources.

Application of coniferous bark as sorbent material for per- and polyfluoroalkyl substances – A case study in Sweden

Per- and polyfluoroalkyl substances (PFAS) are anthropogenic contaminants commonly found in drainage water from waste management facilities. Within the European Union, these facilities either treat the water locally or transfer it to wastewater treatment plants to reduce harmful emissions. However, PFAS are a broad class of compounds with varying physicochemical properties, leading to different removal efficiencies for adsorbents. Activated carbon and ion exchange resins are effective but costly, and they can become saturated with other contaminants. Therefore, this study aims to explore inexpensive, abundant alternatives for reducing PFAS concentrations in the environment. In Sweden, bark is a by-product of forestry activities, primarily used as fuel in heat and power plants. This study evaluates the ability of pine and spruce bark to remove PFAS from contaminated drainage water. Initial laboratory experiments employed liquid-to-solid ratios of 10 and 20 to assess the performance of both materials. Results indicated that pine bark exhibited better removal efficiencies, particularly when a layered column with pine bark followed by spruce bark was utilized. The overall removal efficiencies for short-chain PFAS (perfluorinated carbons: PFCA C3–C6 and PFSA C4–C5) and long-chain PFAS (PFCA > C7 and PFSA > C6) were below 20%, except for perfluorooctane sulfonic acid (PFOS), which showed reductions of 40%–80%. The pH of the treated water decreased from 7 to 4 (pine bark) and 5 (spruce bark) after treatment. In a larger-scale trial, a combination of 50% pine bark and 50% spruce bark was tested, achieving similar reductions for PFOS. Although the removal efficiencies were insufficient for exclusive treatment, these materials may be useful in specific applications targeting long-chain PFAS or in conjunction with other treatment methods.

Developing a safety and health practices in building model of physical environment, facility management, and worker perception: Structural equation modeling approach

Developing a safety and health practices in building model of physical environment, facility management, and worker perception: Structural equation modeling approach

Bim-based Digital Twin development for university Campus management. Case study ETSICCP

Innovation and digitalization are outstanding topics acquiring each day more importance for local governments, especially in Facility Management sector. Moreover, during the COVID-19 situation, new management needs emerged, especially in large public buildings. Building Information Modeling (BIM) is considered as one of the emerging technologies used to reach a total digitalization of the infrastructure. Nevertheless, BIM implementation carries important barriers with itself like, high software and hardware investments, initial BIM skills training or low data interoperability. The objective of this project is to overpass those implementation barriers. For this purpose, the paper shows the creation of a BIM-based intelligent platform for infrastructure management that leads to the development of a Digital Twin (DT). To show the potential of the software developed, a real implementation in the Civil Engineering School at Universidad Politécnica de Madrid was carried out, obtaining significant results thanks to the actual feedback of infrastructure users and managers. The novelty of this project relies on the final results achieved, obtaining a complete DT for management functionalities like space reservation, live sensors data or assets management. All of it, linking BIM models with own software and hardware development using Internet of Things and cloud computing. A multidisciplinary work is compiled in this paper, providing the reader with the most relevant challenges detected in a real digitalization process.

Exploring the value of shared responsibility for improving birth preparedness and complications readiness practices: A literature review

Birth Preparedness and Complication Readiness (BPCR) is a comprehensive strategy to ensure a safer pregnancy. The BPCR shared responsibilities matrix describes the roles of policymakers, facility managers, health care providers, communities, families, and women in ensuring that women and newborns receive skilled and timely maternal and newborn care that can positively improve health outcomes for mothers and their babies. The objective of the study was to describe a shared responsibility on roles to improve childbirth readiness practices and readiness in the face of complications. The literature was systematically obtained from online journal databases namely PubMed, Google Scholar, ScienceDirect, and other related sources, from 2018 to 2023. Sixteen articles on BPCR Interventions were described. Existing literature identifies the value of health care providers, communities, families, and women in shared responsibilities that can improve BPCR practices. We conclude that this review indicates that the value of pregnant women, facility managers, and policy makers in BPCR is still limited

Assessment of Overflow Risk in Agricultural Reservoir Based on Water Balance Theory

The unexpected climate changes are causing rainfalls to exceed the design frequency, which complicates the management and operation of agricultural reservoirs and increases the risk of overflow. According to the “Planning and Design Standards for Agricultural Prediction Infrastructure Maintenance Project (Fill Dam Section),” agricultural reservoirs were originally designed without flood control functions, with the standard being to directly discharge incoming flood. Based on this foundation, this study assesses the overflow risk of agricultural reservoirs using the concepts of inflow and outflow theories as well as storage capacity. The balance when inflow and outflow are at their maximum was analyzed for prioritized areas, focusing on the flood management area (the area between the full water level and crest elevation) relative to the basin area, to examine the feasibility of balance through flood routing. The proposed method is easily accessible to facility managers, enabling them to assess the risk of reservoirs for efficient management and operation during floods.

ANALYSIS OF MODERN APPROACHES TO FINANCIAL SUPPORT OF HEALTHCARE FACILITIES IN UKRAINE

The purpose of the study is to analyze modern effective approaches to the financial support of healthcare institutions, which have been successfully implemented in the leading countries of the world, in order to form a unique model of their financing in Ukraine. The uniqueness of the model is ensured by taking into account the institutional features of modern Ukrainian reality. The article analyzes the financial instruments for providing healthcare under various models of financing the healthcare system, which are used in global practice. The process of reforming the healthcare system in Ukraine was studied, which made it possible to establish changes in the financing of healthcare. The components of the healthcare institution's budget are given. The main advantages and disadvantages of approaches to financing healthcare in Ukraine are determined. The volume and structure of expenditures of the Consolidated Budget of Ukraine on healthcare, as well as the main results of the activities of medical care providers covering all regions of Ukraine, were analyzed. The problems of financing healthcare facilities at the local level in Ukraine, which negatively affect the availability and quality of medical services, have been identified. The need to develop a mixed model of healthcare financing in Ukraine through a rational partnership between state medical institutions and the private sector is substantiated. Taking into account the identified problems and needs, a comprehensive approach to improving the financing of healthcare facilities through the introduction of mandatory health insurance and the development of public-private partnerships in the form of facility management, including resource optimization and technological innovations, is proposed.

A Study on the Analysis of Reduction Effects and Comparison of Economic Feasibility by Applying the LID Technique

This study conducted a comparative review of the effects and project costs of four different flood runoff reduction measures applied in the Dongnam District 1 watershed. Using the XP-SWMM model, the effects of three LID (low-impact development) technologies—infiltration trenches, permeable pavement, and green roofs—were analyzed. The results showed reductions in both peak flood discharge (32.65 m<sup>3</sup>/s → 27.85 m<sup>3</sup>/s) and total runoff volume (99,725 m<sup>3</sup> → 86,814 m<sup>3</sup>). However, the application of LID technologies alone is insufficient for mitigating flood risks. Therefore, flood reduction measures were categorized into four CASEs, combining LID technologies with conventional stormwater management facilities. The cost comparison for each CASE was as follows: CASE 1 (LID + pump) at 22.3 billion KRW, CASE 2 (LID + stormwater storage facility) at 20.3 billion KRW, CASE 3 (pump) at 20.6 billion KRW, and CASE 4 (stormwater storage facility) at 21.0 billion KRW. Despite the use of LID technologies, the project costs for CASEs 3 and 4, which utilized existing reduction methods, were higher. This indicates that integrating LID technologies with conventional reduction measures is likely the most effective approach.

Integrated Analysis of Utilization Efficiency of Intelligent Sports Venues Based on Data Mining Algorithms

With the rapid development of information technology and the increasing prosperity of the sports industry, the construction and management of intelligent sports venues have become an important way to improve the efficiency of sports resource utilization and meet diverse fitness needs. This paper focuses on the integrated analysis of the utilization efficiency of intelligent sports venues based on data mining algorithms. Aiming to reveal the inherent laws and potential value in the operation of sports venues through advanced data processing and analysis techniques, and provide a scientific basis for optimizing resource allocation and improving service quality. Intelligent sports venues utilize modern information technologies such as the Internet of Things, big data, and cloud computing to achieve comprehensive and intelligent monitoring and management of venue facilities, personnel activities, environmental conditions, and more. This new management model not only improves the operational efficiency of the venue but also enhances the user experience and meets personalized and diverse fitness needs. This paper focuses on the current situation of the opening of university sports venues to the outside world, aiming to reveal the pain points and bottlenecks in their operation process through detailed investigation and analysis. This study introduces advanced concepts of middleware architecture and constructs a multi-level data integration framework that includes local models, global models, user models, and mapping rules. This framework can effectively integrate distributed heterogeneous data sources, achieving seamless integration and efficient interaction of data. At the same time, with the help of distributed programming technology in cloud computing, it is possible to conduct in-depth mining and analysis of integrated massive data, discover potential value, and provide a scientific basis for decision support.