Unified Monitoring Research Articles

Establishing Natural Resources Monitoring Systems in China: Situation, Problem and Suggestion

Abstract. In order to fundamentally support work for achieve "climate action, life below water, and life on land" 3 Sustainable Development Goals of the United Nations, and to realize unified monitoring and refined management of natural resources, this paper collects, organizes, analyzes, and summarizes national policy, management department documents, relevant papers, and the latest industry development trends through the literature induction method. It systematically studies current monitoring networks from the perspectives of land resources monitoring, mineral resources monitoring, forest resources monitoring, grassland resources monitoring, water resources monitoring, wetland resources monitoring, marine resources monitoring. It indicates such problems as inconsistent classification standards and monitoring technical standards for natural resources, lack of smooth connection among monitoring networks, and insufficient high-tech applications. It proposes suggestions of building 1+N monitoring system, coordinating multi-level and multi-category monitoring mechanisms, improving monitoring intelligence level, strengthening the ability to obtain multi-source spatiotemporal data, and constructing an information sharing platform, to better build a unified natural resource monitoring system, and serve the refined management of natural resources.

Application of a reaction-based water quality model to the total dissolved solids concentration of the Pasig River.

With the goal to support effective water resource management, water quality models have gained popularity as tools for evaluating the distributions of pollutants and sediments. This work focuses on the application of the numerical solution of an advection-dispersion-reaction (ADR) water quality model for rivers and streams to a major Philippine waterway, the Pasig River. The water quality constituent is described by a system of reaction and advection-dispersion-reaction equations. The model and method are based on a previously used strategy where Guass-Jordan decomposition is applied to the matrix system and the resulting conservative form of the model is solved numerically using the fully implicit scheme and finite element method. The methodology is demonstrated by a case study in Pasig River involving the concentrations of total dissolved solids (TDS) obtained from the Department of Environment and Natural Resources (DENR) through the Pasig River Unified Monitoring Stations (PRUMS) report. Sensitivity analysis and parameter estimation are also applied to the model to assess which parameters influence the model output the most.

Political and legal analysis of the mechanisms of providing Ukraine with resources of strategic importance in the context of increasing the national defence potential

This study addresses the critical issue of enhancing Ukraine’s defence capabilities through the efficient management of strategic resources amidst ongoing Russian aggression. The research aims to develop substantiated recommendations for optimizing the legal and political mechanisms that govern the provision of strategic resources to Ukraine. The study employs a formal legal method to analyze key national and international legal frameworks, including the Law of Ukraine “On the National Material Reserve” and the Code of Ukraine “On Subsoil,” focusing on their efficacy in wartime conditions. Also, political analysis, comparative analysis, legislative review and document analysis were used. The research highlights the gaps in existing legislation, particularly in adapting to the needs of martial law and the complexities of interagency coordination. The findings reveal that while Ukraine has established an extensive legal framework for managing strategic resources, significant issues persist in areas such as transparency, interagency cooperation, and bureaucratization. The study advocates for legislative amendments to better suit wartime needs, the implementation of a unified monitoring system, and enhanced international cooperation, particularly with bodies like the UN and World Bank. The conclusions emphasize the importance of Ukraine’s participation in international transparency initiatives and the need to align national legislation with EU standards. Overall, the thesis of this work is the development of substantiated recommendations for optimizing Ukraine’s strategic resource management in the context of war, while the research niche focuses on the analysis of political and legal mechanisms that influence the state’s defence capabilities.

Unified monitoring and online maintenance technology of substation secondary equipment

Abstract To meet the needs of the promotion of “equipment ownership” and the implementation of a centralized monitoring mode in substations, a technical scheme of unified monitoring, online operation, and maintenance for secondary equipment in substations is proposed, considering the monitoring, operation, and maintenance requirements of secondary equipment such as protection devices and automation devices. A secondary equipment monitoring real-time gateway is arranged in Security Zone I. The comprehensive operation status data of various secondary equipment is collected, analyzed, processed, diagnosed, and applied through various apps, to realize heterogeneous access, on-demand deployment, and flexible expansion. The master station is designed with functions such as human-machine interaction and remote analysis for secondary device monitoring and operation. GSP, MQTT, and other service-oriented and message mechanism communication protocols are adopted between the substation and the master station to meet the diversified and easily expandable information exchange requirements. Through the factory test, it is verified that the scheme can realize the panoramic perception of the operation state of the secondary system and effectively improve the ability of abnormality diagnosis and processing.

On the impact of Industrial Internet of Things (IIoT) - mining sector perspectives

ABSTRACT The application of the Internet of Things (IoT) in industrial systems and other new technological advancements led to the development of the Industrial Internet of Things (IIoT). IIoT can help overcome the shortcomings of the conventional monitoring and control system while enabling enterprises to create a unified monitoring system to automate operations, provide a safe working environment, enforce compliance effectively, and regulate environmental issues. Given the advantages that IoT brings to the forefront, it makes sense that so many mining companies have raised their investment following the implementation of IoT-enabled solutions in their organisations. To increase safety, productivity, and environmental sustainability in mining operations, this article examines the current state of information technology in the mineral industry with an emphasis on the implications and challenges brought on by the technological diversity of various systems and devices used in those activities. The study contributes valuable insights into the integration of IoT technologies in the mining industry, highlighting its potential to improve safety, efficiency, and sustainability. The paper paves the way for future research and development efforts aimed at overcoming the challenges of adopting IIoT in mining operations by identifying gaps and proposing a comprehensive IoT architecture. The innovations of the study are encapsulated in its approach to detailing the application of IoT technologies in enhancing mining operations and the establishment of an overall IIoT architecture suitable for the general operations in the mining industry.

2011–2015年东洞庭湖洲滩典型植物群落样方调查数据集

The fixed sample plot investigation obtains the dynamic characteristics of ecosystem through long-term data accumulation and accurate space-time comparison, which provides a solid basis for long-term ecosystem research. In accordance with the unified monitoring specifications set forth by the Chinese Ecosystem Research Network (CERN), Dongting Lake Wetland Ecosystem Research Station conducts long-term positioning monitoring on the species composition and community characteristics of typical beach vegetation in the wetland ecosystem in response to the changing hydrological conditions of Dongting Lake. We processed the data of long-term monitoring sample plots of three typical wetland plant communities (Carex sp, Miscanthus lutarioriparius and Polygonum hydropiper) in Dongting Lake to obtain the dataset of sample survey of typical plant communities on East Dongting Lake beach from 2011 to 2015. This dataset covers a total of 14 indicators, including species name, Latin name, number of plants (clusters) (plants or clusters/quadrats), average height of leaf layer (cm), average height of reproductive branches (cm), coverage (%), phenological period, dominant species, number of plant species, density (plants or clusters/m2), leaf layer height (cm) of dominant species, reproductive branch height (cm) of dominant species, total coverage (%), and total dry weight of aboveground green parts (g/m2). This dataset comes with detailed background information to ensure its consistency across both spatial and temporal dimensions. Moreover, to ensure data accuracy and reliability, the dataset underwent comprehensive quality control throughout the entire process and is subject to expert review and verification. It can serve as an important source of background data for studying the process and succession trends of the beach wetland ecosystem in response to the hydrological conditions of Dongting Lake, and provide data support for vegetation remote sensing monitoring, biodiversity protection, wetland ecological restoration and adaptive management of Dongting Lake.

2011–2015年洞庭湖洲滩群落植物生态型、生活型和生长型组成数据集

Analyzing plant life-forms and ecotypes can provide deep insights into the relationship between plant community structure and environmental conditions, and plant life-forms play an important role in understanding the emergence, development, and succession laws of plant community. An investigation was made on the species life-forms and ecotypes of wetland plants in Dongting lake wetland. In accordance with the unified monitoring specifications of the Chinese Ecosystem Research Network (CERN), the Dongting Lake Wetland Ecosystem Observation and Research Station conducts long-term positioning monitoring on the species composition, species life-forms, growth forms and ecotypes of typical beach vegetation in the wetland ecosystem in response to the changing hydrological conditions of Dongting Lake. The dataset of long-term monitoring conducted on three typical plant communities (Carex sp., Miscanthus lutarioriparius and Polygonum hydropiper) in Dongting Lake wetland has been verified by experts to ensure the accuracy of the data. We then classified and processed the data to obtain the dataset of community composition of plant life-forms, growth forms and ecotypes on Dongting Lake beach (2011–2015). The dataset covers a total of 8 indicators, namely species name, Latin name, life-form, growth form, ecotype according to light intensity, ecotype according to water requirement, ecotype based on soil pH and ecotype according to responses sediment burial. This dataset comes with detailed background information to ensure its consistency across both spatial and temporal dimensions. This dataset comes with detailed background information about site information and site management records to ensure its consistency across both spatial and temporal dimensions. This dataset can provide support for the analysis of the classification of plant life forms and the composition and structure of ecotypes, and serve as valuable reference for further study of vegetation succession in Dongting Lake wetland.

Unified Monitoring for Microservices: Implementing Prometheus and Grafana for Scalable Solutions

Unified Monitoring for Microservices: Implementing Prometheus and Grafana for Scalable Solutions

The Program of Pre-Professional Pedagogical Education at the Yaroslavl State Pedagogical University named after K. D. Ushinsky

Introduction. The article is devoted to the problem of building a system of pre-professional pedagogical education for schoolchildren. Мethods. The purpose of this article is to present an innovative program of pre-professional pedagogical education at Yaroslavl State Pedagogical University named after K. D. Ushinsky, developed on the basis of monitoring the state of pre-professional pedagogical training of schoolchildren in 87 regions of the Russian Federation, analysis of practice and scientific research on this topic, a survey of teachers, students, parents from 30 regions of the Russian Federation. Results. A general trend towards the discreteness of career guidance measures, the lack of consistency, general planning, and unified monitoring of the effectiveness of this type of activity was revealed. As a result, a program of pre-professional pedagogical education of schoolchildren was developed, providing a system of pre-professional education in a university setting. Conclusion. The innovative component of the program is achieved by designing areas of organization of pre-professional pedagogical training of schoolchildren consistent with the purpose: scientific and experimental activities; innovative activities based on educational organizations; scientific and methodological support for teachers of educational organizations; organization of career guidance and educational activities with students; tutor support for students in pre-professional pedagogical training programs for schoolchildren; interaction with social partners; education and informing parents.

Independent assessment of the conditions’ quality in education: from regional expert review tool to the unified monitoring procedure

The expansion of public participation in the management of the education system and in ensuring the quality of the conditions for the implementation of educational programs in educational organizations is considered through a new tool of public control – an independent assessment of the conditions’ quality for the provision of services by organizations in the field of education (IACQE). The work purpose is to analyze the ten-year period of methodology development of the IACQE, aimed at studying the needs and interests of all participants in educational relations. The article presents the results of an expert-analytical study of the creation and development of methodological tools of the IACQE at the federal, regional and municipal levels. The study was carried out by the method of comparative analysis of legislative acts adopted in the period from 2012 to 2022, as well as their impact on the development of public control tools for assessing the quality of education in accordance with the Federal Law “On Education in the Russian Federation”. The analysis of qualitative and quantitative data presented in the article allows us to reveal the content of the assessment tools and indicates the possibility of comparative monitoring of the results of the IACQE at the regional and municipal levels for each subject of Russia. The study results offer guidelines to the scientific and pedagogical community to improve the procedure for conducting the IACQE, which will contribute to the effectiveness of decisions taken by state and local authorities on the development of education accessibility, as well as to ensure at the regional and municipal level the quality of conditions for the educational activities’ implementation for all interested participants.

Accounting and monitoring tools enhancement for Run 3 in the ATLAS distributed computing

The ATLAS experiment at the LHC utilizes complex multicomponent distributed systems for processing (PanDA WMS) and managing (Rucio) data. The complexity of the relationships between components, the amount of data being processed and the continuous development of new functionalities of the critical systems are the main challenges to consider when creating monitoring and accounting tools able to adapt to this dynamic environment in a short time. To overcome these challenges, ATLAS uses the unified monitoring infrastructure (UMA) provided by CERN-IT since 2018, which accumulates information from distributed data sources and then makes it available for different ATLAS distributed computing user groups. The information is displayed using Grafana dashboards. Based on the information provided, they can be grouped as “data transfers”, “site accounting”, “jobs accounting” and so on. These monitoring tools are used daily by ATLAS members to spot and fix issues. In addition, LHC Run 3 required the implementation of significant changes in the monitoring and accounting infrastructure to collect and process data collected by ATLAS during the LHC run. This paper describes the recent enhancements to the UMA-based monitoring and accounting dashboards.

Design and application of an information interaction device for household photovoltaic inverters

The rapid growth of household photovoltaics poses a significant challenge to the safe operation of distribution networks. To enable the unified monitoring of household photovoltaic inverters by power grid companies, this paper introduces an information interaction device for household photovoltaic inverters based on high-speed power line carrier communication and high-speed radio frequency communication. The study begins by analyzing the information access architecture of the household photovoltaic inverter, followed by a presentation of the hardware and software design of the information interaction device. Subsequent experiments conducted at various photovoltaic stations demonstrate an impressive 98% success rate for information interaction, highlighting the device’s robust reliability.

Enhancing Observability in Distributed Systems-A Comprehensive Review

Observability augmentation in distributed systems deals with making it more feasible to grasp and satisfy all the internal states and behaviors of complicated software structures spanning many interconnected machines. Distributed systems communicate asynchronously, are appetitive to localized control, and have a vast number of failure points. Unpredictable problems are an inherent feature of their complexity, which makes them intrinsically complex. Observability stands for the provision of instrumentation for systems in order to log, monitor, and trace internal events so that operators can deduce the system’s state without invasive probing. Extended visibility allows for quick identification, elaboration, and rectification of issues in large-scale software systems before they cause much impact. Methods such as distributed tracing, unified monitoring, and metrics monitoring are the tools that allow engineers to identify root causes of system-wide failure by correlating events across components. Both the ew development processes and procedures are based on the new overheads; they improve productivity and reliability, thus justifying more engineering efforts for critical distributed systems. However, when this is correctly implemented, we are able to improve the operability, efficiency, and development speed of mission-critical and complex business software.

Применение технологии интернета вещей для передачи данных от автоматического измерителя сопротивления заземления

Purpose: To organize operational automatic monitoring of the real state of one of the important technical elements of the Directorate of Communications and the Directorate of Infrastructure of JSC “Russian Railways” — of the grounding systems for communication, signaling, centralization and blockage (SCB). Methods: Comparative analysis of the technical characteristics of devices existing in the relevant telecommunications equipment market that implement the Internet of things technology and standard switching solutions for various devices with a unified monitoring and administration system (UMAS). Results: An optimal solution has been obtained for collecting and automatically transmitting information of such a parameter as the electrical resistance of the grounding device. A technical solution is proposed that allows to coordinate the collection of information by means of necessary sensors used in the implementation of the Internet of Things technology, network equipment and the transmission of information to the UMAS by means of a modular diagnostic complex and transmitting devices (switching equipment and multiplexers) provided by LLC “Pulsar-Telecom Design Bureau”. Practical significance: A comprehensive solution for collecting, transmitting and monitoring the condition of the object is proposed, which allows to respond promptly to changes in such an important parameter as the resistance of the grounding device in order to plan the activities of repair, operational and restoration teams and other services of enterprises of the directorates of communications and infrastructure. A comparative analysis of three technologies of the Internet of Things — LoRaWAN, NB-IoT, STRIZH, allowing to assess the advantages and disadvantages of each in achieving the goal.

A Hybrid Cluster Variational Autoencoder Model for Monitoring the Multimode Blast Furnace System

Efficient monitoring of the blast furnace system is crucial for maintaining high production efficiency and ensuring product quality. This article introduces a hybrid cluster variational autoencoder model for monitoring the blast furnace ironmaking process which exhibits multimode behaviors. In contrast to traditional approaches, this method utilizes neural networks to learn data features and effectively handles the diverse feature types observed in different production modes. Through the utilization of a clustering process within the hidden layer of the variational autoencoder, the proposed technique facilitates efficient fault detection in the context of multimodal blast furnace data. Based on the variational autoencoder model, this study further establishes a unified monitoring index and defines a method for computing the control limits. The application of the model to real blast furnace data reveals its proficiency in accurately identifying faults across diverse modes; compared with the probabilistic principal component analysis based on the local nearest neighbor standardization method and the recursive probabilistic principal component analysis, the model shows a reduction in false positives by up to 10.3% and a substantial reduction of 19.2% in the missed detection rate. This method achieves a remarkable false detection rate of only 0.2% and 0 instances of missed detection.

Red List for British seaweeds: evaluating the IUCN methodology for non-standard marine organisms

The IUCN Red List of Threatened Species is an authoritative tool in biodiversity conservation. Whilst IUCN criteria have been applied successfully to groups such as birds and mammals, a Red List assessment of British seaweeds in 2021 revealed that the categories to which seaweed species were assigned were dependent on how the criteria were applied. Here, this seaweed assessment is used as a case study with which to evaluate the IUCN methodology for use with ‘non-standard’ groups of organisms. A data-driven assessment of red (Rhodophyta), green (Chlorophyta) and brown (Phaeophyceae) seaweeds, which applied three (A, B and D) of the five IUCN criteria (A–E), categorized 13% of 617 British species as threatened. Following peer review, only 7% of species were categorized as threatened (1% Critically Endangered—CR, 3% Endangered—EN, 3% Vulnerable—VU), and 55% as Data Deficient. This reduction in species categorized as threatened suggests that strict application of the IUCN criteria may, at least for the seaweeds, over-estimate threat. As a result of this assessment, recommendations include the need for a more unified monitoring system and a review of the suitability for/application of the IUCN assessment criteria to some types of organisms. For example, in clonal populations, it is not possible to count individuals, and complex life histories cause additional complications. IUCN criteria must be applicable to a wide range of organisms, including seaweeds.

Testing the regulatory and legal framework for the organization of socio-economic development monitoring (through the example of the Kamchatka region)

Aim. The presented study aims to develop practical recommendations for improving the organization of regional monitoring of the social and economic development of a constituent entity of the Russian Federation.Tasks. The author analyzes the theoretical aspects of the regulatory framework for monitoring the socio-economic development of a constituent entity of the Russian Federation; identifies several problems in the organization of such monitoring; develops conceptual mechanisms for improving its organization.Methods. This study uses the methods of observation, synthesis, deduction, generalization, description, and factor analysis.Results. Recommendations for improving the organization of regional monitoring of social and economic development are developed and proposed, such as using an automated system in the daily operations of executive government bodies of the constituent entities of the Russian Federation.Conclusion. Considering the results of the study, the author believes that in the future it should be possible to create a unified monitoring system at the regional level, synchronize monitoring indicators, and simplify the monitoring system.

Addressing the Need for a Preexposure Prophylaxis Monitoring and Evaluation Implementation Guide: Experience From Zambia.

The HIV care continuum comprises well-defined steps and indicators. In contrast, indicators along the preexposure prophylaxis (PrEP) cascade are still in the early stages of implementation. Monitoring and evaluation (M&E) of PrEP services is critical to optimizing PrEP uptake and adherence during periods of HIV risk. We provide an overview of global indicators for PrEP, describe the development process and outcomes of Zambia's 2022 National Pre-Exposure Prophylaxis (PrEP) Program Monitoring & Evaluation Implementation Guide, and discuss the guide's implications for other countries in sub-Saharan Africa. During the scale-up of PrEP, the Zambia Ministry of Health (MOH) and the National HIV/AIDS/STI/TB Council recognized the need for a national unified monitoring system to guide the effective implementation of PrEP services. Stakeholders from the MOH, civil society, professional organizations, funding agencies, and implementing partners developed the National Pre-Exposure Prophylaxis (PrEP) Program Monitoring & Evaluation Implementation Guide. This guide is aligned with the existing global indicators from the World Health Organization and the U.S. President's Emergency Plan for AIDS Relief and adapted to the country's needs, context, and health information systems. Zambia's experience in developing the guide has highlighted the importance of strengthening client-level monitoring systems for HIV prevention, ensuring flexibility of the PrEP monitoring system to accommodate PrEP delivery modalities and differentiated service delivery models, and training health workers to enhance PrEP services and deliver care PrEP services along the continuum to prevent HIV acquisition effectively. Using a collaborative and consensus-based approach, Zambia developed its first national PrEP M&E implementation guide to provide standardized guidelines for optimizing the delivery, monitoring, and evaluation of PrEP service delivery. Zambia's experience can inform other countries in sub-Saharan Africa as they develop national M&E implementation approaches for PrEP.

КОНЦЕПТУАЛЬНІ ЗАСАДИ ТА ТРЕНДИ МЕНЕДЖМЕНТУ СОЦІАЛЬНОЇ СФЕРИ

The article examines the mechanism of effective social sphere management and examines the concept of the general welfare state with a definition of this concept. The article determined that the basis for the development of the welfare state was industrialization, which led to the formation of four separate main models of social sphere management: continental (Bismarckian), Anglo-Saxon (Beveridge model), Scandinavian and SouthEuropean. Their features and differences are considered. The article analyzed the dynamics of the poverty level in Ukraine and determined that until 2022 the trend was positive for the country – the poverty level was decreasing. The article determined that due to the war, the level of poverty in Ukraine increased tenfold already in 2022, with a subsequent doubling during the following year. It was determined that the modern management of the social sphere of Ukraine has significant structural problems. Analyzing modern transformational shifts, it was noted that in 2020, the CMU approved the Strategy of Digital Transformation of the Social Sphere, which initiates a comprehensive digital transformation of all components of the social sphere, introducing unified approaches, standards and technologies. It was determined that the specified Strategy is planned to increase the efficiency of social sphere management; to improve the management systems of financial resources of the social sphere; to automate the management and control system in the social sphere; achieve technological development of information resources of the social sphere with the introduction of innovative technologies. This can be achieved through the creation of the Unified Information System and the Unified Monitoring Center, the implementation of the functionality of the Unified Social Operator; reduction in the number of personnel in the sector. Trends in the development of management of the social sphere: digitalization, growing migration flows; the social trade-offs of the free market come under greater scrutiny. It was found out that the digitalization of the social sphere management, this aspect is defined as one of the main directions of the development of the social sphere of Ukraine.

Psychological Analysis of Athletes during Basketball Games from the Perspective of Deep Learning

Due to the influence of psychological factors during sports, basketball players often change the shooting rhythm in sports, which will reduce the shooting rate and directly affect the training effect. Therefore, we need to analyze the basketball shooting process of some athletes, which is not a complete negation of traditional training methods, but a psychological analysis of some athletes’ shooting in the course of competition, so as to complement the feedback and training information after the game. With the great improvement of computer computing power, deep learning natural language processing can help people analyze and solve previously unsolvable problems in production and life. The psychological emotion of adolescence has a great influence on the study and life of middle school students. At present, the unified monitoring and analysis of the daily life of middle school students need not only a lot of manpower, but also slow speed. If the psychological problems are not found in time and feedback is given, it will cause a series of adverse effects on individual athletes. The neural network model based on deep learning can process students' daily mass text information quickly and accurately, and then give comprehensive judgment, which is a good solution. This paper applies the neural network algorithm of the Bi-LSTM model and CNN model to study the text data, and finally has 95.55% and 90.03% accuracy in the psychological analysis experiment, which provides a feasible solution to solve the batch rapid analysis of psychological changes reflected in the daily text of athletes during basketball. Some suggestions are put forward on how to strengthen and improve the psychological quality of college basketball players and their ability to bear pressure and difficulties.