Hierarchical Management System Research Articles

Development of an Intelligent Risk Hierarchical Management System on Pulmonary Aspiration for the Elderly.

For the elderly, the risks associated with pulmonary aspiration are significant, and can severely impact their quality of life. Therefore, the management of pulmonary aspiration risk is crucial in promoting healthy aging, an aspect often overlooked in self-health management for the elderly. To enhance self-management of pulmonary aspiration risk among the elderly, we have organized a multidisciplinary team to develop an intelligent risk hierarchical management system on pulmonary aspiration for the elderly. This system tailors the assessment with different questionnaires based on the elderly individual's environment. Additionally, it utilizes elderly-friendly formats such as pictures, videos and animations, making it easier for seniors to comprehend the occurrence and hazards of pulmonary aspiration. This enables them to proactively take preventive measures to manage the risk, thus achieving self-management of pulmonary aspiration risk.

Hierarchical transactive home energy management system groups coordination through multi-level consensus sharing-based distributed ADMM

Coordinating residential building groups requires a hierarchical structure in which aggregate objectives and coupled constraints are incorporated into decision-making processes at different layers of the electric distribution system. Failure to handle these matters can raise issues, such as rebound peaks and contingencies. This paper proposes a Hierarchical Transactive Coordination Mechanism (HTCM) capable of dealing with residential consumers’ objectives/constraints and local and grid coordinators’ shared objectives/coupled constraints under a bottom-up strategy. Particularly, the proposed multi-level framework distributes local and grid coordinators’ shared objectives among consumers to flatten the aggregate consumption profile and minimize the aggregate energy cost at each level. The suggested scheme is enhanced by developing two additional operations. A gain-sharing technique is designed to fairly divide the total gain acquired by the grid coordinator across the hierarchy from higher to lower levels, successively. Besides, a coupled constraint-sharing method is devised to link these levels and fulfill the coupled constraints by revising consumers’ decisions. The proposed approach is applied to a society of buildings comprising Home Energy Management System (HEMS) groups with demand response-enabled electric Baseboard Heaters (BHs), and its effectiveness is investigated through different case studies. The results demonstrate that the recommended HTCM is able to improve the society’s aggregate power profile load factor by 89%, from 0.45 up to 0.85, and decreases its overall electricity cost by 6.2%.

Novel Hierarchical Energy Management System for Enhanced Black Start Capabilities at Distribution and Transmission Networks

A novel energy management system featuring a unique framework involving multiple hierarchical controllers at the distribution and transmission network levels is proposed. The unique objective function of this energy management system is designed to enhance system inertia during black start and optimise load shedding. The objective function further aims to increase reliance on renewable energy sources, prioritising solar power along with battery and fuel cell technologies. This work delves deeply into the dynamics of multi-area power networks, where some areas possess black start capabilities (BSAs) while others do not (NBSAs). The proposed energy management system specifically explores the complex interplay between these black start capabilities and the hierarchical load restoration order. During grid blackouts, the systems located in BSA areas are tasked with first restoring essential loads in their own regions before extending aid to the adjacent NBSA areas, taking into account factors such as their available reserved power and geographical proximity. This work is extended to analyse complex multi-area power network architectures. This extended analysis provides invaluable insights for enhancing power restoration processes and facilitating the large-scale integration of sustainable energy solutions in complex systems. The proposed energy management system is validated using the IEEE 39-Bus network, which consists of ten distinct areas, each differing in their black start capabilities. The results demonstrate the superiority of the proposed system.

A “twelve-section ultrasonic screening and diagnosis method” and management system for screening and treating neonatal congenital heart disease at the grassroots level in Tang County, Hebei Province, China

BackgroundTo explore a method for screening and diagnosing neonatal congenital heart disease (CHD) applicable to grassroots level, evaluate the prevalence of CHD, and establish a hierarchical management system for CHD screening and treatment at the grassroots level.MethodsA total of 24,253 newborns born in Tang County between January 2016 and December 2020 were consecutively enrolled and screened by trained primary physicians via the “twelve-section ultrasonic screening and diagnosis method” (referred to as the “twelve-section method”). Specialized staff from the CHD Screening and Diagnosis Center of Hebei Children’s Hospital regularly visited the local area for definite diagnosis of CHD in newborns who screened positive. Newborns with CHD were managed according to the hierarchical management system.ResultsThe centre confirmed that, except for 2 newborns with patent ductus arteriosus missed in the diagnosis of ventricular septal defect combined with severe pulmonary hypertension, newborns with other isolated or concomitant simple CHDs were identified at the grassroots level. The sensitivity, specificity and diagnostic coincidence rate of the twelve-section method for screening complex CHD were 92%, 99.6% and 84%, respectively. A total of 301 children with CHD were identified. The overall CHD prevalence was 12.4‰. According to the hierarchical management system, 113 patients with simple CHD recovered spontaneously during local follow-up, 48 patients continued local follow-up, 106 patients were referred to the centre for surgery (including 17 patients with severe CHD and 89 patients with progressive CHD), 1 patient died without surgery, and 8 patients were lost to follow-up. Eighteen patients with complex CHD were directly referred to the centre for surgery, 3 patients died without surgery, and 4 patients were lost to follow-up. Most patients who received early intervention achieved satisfactory results. The mortality rate of CHD was approximately 28.86 per 100,000 children.ConclusionsThe “twelve-section method” is suitable for screening neonatal CHD at the grassroots level. The establishment of a hierarchical management system for CHD screening and treatment is conducive to the scientific management of CHD, which has important clinical and social significance for early detection, early intervention, reduction in mortality and improvement of the prognosis of complex and severe CHDs.

Research on Regional Early Warning of Flash Flood Disasters in Small Watershed Based on Multi-source Early Warning Data Fusion

The research on the early warning method of flash floods serves as an important groundwork for the prediction and early warning of flash flood disasters. Being restricted by various objective factors such as lack of data and complicated formation mechanism of flash flood disasters in small watersheds, accurate and targeted early warning has consistently been a weak link within the flash flood control system. In this regard, focusing on a series of problems, such as "short risk forecasting period", "frequent missing and false reports" and "poor early warning accuracy", this research explores a hierarchical partition management system that fulfills the demands of early warning based on the analysis of watershed lag time and risk situation. Meanwhile, based on the comprehensive consideration of the characteristics of various multi-source early warning data, such as meteorological forecast rainfall and monitoring rainfall water level, this research proposes corresponding early warning modes for different types of early warning objects. On these grounds, this research applies the proposed early warning system to Xiaguan Creek in Shangyu District, Zhejiang Province. Relevant findings indicate that the effective extension of the forecasting period, coupled with the reduction of the phenomenon of "missing and false reports", provides scientific support for the early warning and transfer decision related to flash floods.

How the River Chief System Achieved River Pollution Control: Analysis Based on AGIL Paradigm

The implementation of China’s water pollution control policy is facing challenges. The current situation requires that China’s water pollution control must be transformed from a hierarchical management system to a collaborative governance model, which has led to the emergence of the river chief system (RCS). Firstly, this research analyzes the water quality in the lower Yangtze River Basin in the past five years, and the results show that the overall water quality of the study area has improved. Secondly, this research is conducted from the perspective of the four functions of adaptation (A), goal attainment (G), integration (I), and latency pattern maintenance (L), using the AGIL paradigm as a model to analyze the operation of RCS and carry out a cross-study on environmental protection and public policy, which provides a precedent for future public policy research and discussion. Finally, based on the AGIL paradigm, this research puts forward the development direction of RCS, which provides experience and theoretical support for other countries’ watershed pollution research.

Stereotypical ideas in the perception of spatial marginality of urban outskirts

According to the territorial-regional development policy of Russia, a rigid structuring of the country's space is applied through the prism of a hierarchical management system. As a result, the structure of the space of the entire country was fixed through a system of boundaries, the markers of which highlight management objects at the national level, subject of the Russian Federation, territory, region, district. This article will present the main stereotypes that influence the creation of the perception of new territories in the nature of marginality. As is known, the formation of marginal communities can be traced throughout the history of civilizations. It is important to separate geographical marginality from spatial marginality. In geography, there is the concept of “marginal territories”, which can be considered those located on the remote periphery of the region or in isolated places. Such a phenomenon as spatial marginality is characterized precisely by the prevailing stereotypes in society about a specific area. Urban spatial perception critically influences human behavior and emotional responses, emphasizing the need to align urban spaces with human needs to improve the quality of urban life. However, the classification of urban architecture based on functionality is subject to biases stemming from discrepancies between objective representation and subjective perception. These biases can lead to city planning and designs that fail to adequately meet the needs and preferences of city residents, negatively impacting their quality of life and the overall functionality of the city. In this study, we apply machine learning to uncover these biases in urban spatial perception research using a three-step methodology: objective mapping, subjective perception analysis, and perceptual bias assessment. Our results show that machine learning can reveal hidden patterns in this area of research with significant implications for urban planning and design. Of particular note, the study found significant discrepancies in the distribution centroids between commercial buildings and residential or public buildings. This result sheds light on the spatial organization characteristics of urban architectural functions, serving as a valuable guide for urban planning and development. Moreover, it reveals the advantages and disadvantages of different data sources and methods for interpreting urban spatial perception, paving the way to a more complete understanding of the subject. These results highlight the importance of integrating both objective mapping and subjective perspectives when classifying the functionality of urban architecture.

Optimal Hierarchical Energy Management System With Plug-and-Play Capability for Neighborhood Home Microgrids

Optimal Hierarchical Energy Management System With Plug-and-Play Capability for Neighborhood Home Microgrids

Risk Assessment of an Automated Document Management System in a Hierarchical Management System

The functioning of any document management system in the infrastructure of a hierarchical process control system is to ensure uninterrupted work with documents at all stages of their use for the system's subjects, from designers, administrators to users and executors. Only with a well-established security system with an authorization management system can an automated document management system (ADMS) achieve efficient operation. In its turn, the security system of the automated document management system is based on the developed security policy and risk management system. The paper considers the infrastructure of an automated document management system, methods for assessing risk levels, which determine the choice of security tools and determining the level of security for a hierarchical management system. The proposed research results have been tested in the functioning of security systems at airports with a hierarchical structure of process control.

Eigen: End-to-End Resource Optimization for Large-Scale Databases on the Cloud

Increasingly, cloud database vendors host large-scale geographically distributed clusters to provide cloud database services. When managing the clusters, we observe that it is challenging to simultaneously maximizing the resource allocation ratio and resource availability. This problem becomes more severe in modern cloud database clusters, where resource allocations occur more frequently and on a greater scale. To improve the resource allocation ratio without hurting resource availability, we introduce Eigen, a large-scale cloud-native cluster management system for large-scale databases on the cloud. Based on a resource flow model, we propose a hierarchical resource management system and three resource optimization algorithms that enable end-to-end resource optimization. Furthermore, we demonstrate the system optimization that promotes user experience by reducing scheduling latencies and improving scheduling throughput. Eigen has been launched in a large-scale public-cloud production environment for 30+ months and served more than 30+ regions (100+ available zones) globally. Based on the evaluation of real-world clusters and simulated experiments, Eigen can improve the allocation ratio by over 27% (from 60% to 87.0%) on average, while the ratio of delayed resource provisions is under 0.1%.

Hierarchical Document Approval System

Abstract: The goal of a Hierarchical Document Management System (HDAS) is to accept, store, coordinate, and regulate Edocuments. With the incorporation of E-documents, there is a move toward digital office operations and data transfer via approved systems. By implementing HDMS as a critical tool to handle the growing flow of data, a company may achieve an efficient, time-saving, and straightforward method of reporting, examining, and managing a document. The main advantage of the HDAS is document flow automation, which allows for the automatic transfer of files for approval. The purpose of this review is to look into and implement an E-document circulation system, while also considering the importance of HDAS in an organization. The stages of a document's lifespan are formation, storage, access, reassignment, distribution, preservation, and disposal.

Assessing the role of institutional effectiveness on carbon sequestration: the case of China's nature reserve policy

PurposeCarbon storage in protected land is a practical climate stabilization strategy. It is increasingly being recognized as an essential means of safeguarding biomass carbon and improving local ecological conditions. Yet, increasing soil carbon sequestration by setting aside nature reserves does not depend only on the scale of the reserve but more so on the implementation and enforcement of the reserve protection policy. This paper aims to discuss the aforementioned issues.Design/methodology/approachThe authors show how nature reserves established and managed by different administrative levels affect carbon sequestration. Empirically, the authors estimate a time-varying difference-in-difference model that exploits China's distinct four-layered hierarchical nature reserve management system at the county level.FindingsThe findings show that higher administrative level (i.e. national and provincial) nature reserves have no effects on the carbon dynamic. However, reserves managed by lower administrative levels (i.e. prefecture- and county-level) are associated with reduced carbon sequestration. The results imply local governments fail to fulfil their responsibilities for nature reserves protection, leading to increased extractive activities and declined ecological biomass. Research limitations/implicationsResponsibility and accountability mechanisms for the violation of the nature reserves requirements need to be stipulated accordingly. Greater emphasis should be placed on nature reserves at the base level. The central government should continue efforts toward the establishment of ad hoc and independent management agencies at the ground-management level that are free of influence from base-level governments.Originality/valueThe heterogeneity in the performance of nature reserves across administrative levels confirms that ecosystem service quality is highly dependent on establishment, management and supervision. This provides a better understanding of the socio-ecological interdependence of protected areas.

IoT-based stochastic EMS using multi-agent system for coordination of grid-connected multi-microgrids

A multi-microgrid system – containing various complementary energy sources – must coordinate the power flow among microgrids and the utility grid for stability and reliability enhancement, and also should obtain optimum energy management. Multi-agent-based optimization techniques are ideal for the management of interconnected microgrids, due to their decentralized nature and multifactorial approach in the decision-making process. In this paper, an optimization model is proposed for interconnected multi microgrids which considers the overall cost of the system. For optimum system operation, the hierarchical energy management system is utilized based on the multi-agent systems (MAS) theory. Each element of the system is considered an independent agent connected to others through the internet of things (IoT) platform. A key benefit of such a structure is its capability to be divided into numerous levels. Moreover, the communication burden of the system is reduced with different management layers.In this paper, efficient operation and management tools including the regulation power (for dispatchable DGs), independent DGs, and power exchange with the utility and adjacent microgrids are utilized for optimum operation. To obtain more realistic modeling, the uncertainty of renewables and demand is taken into account using decomposition-based modeling, which reduces the computational burden as well. Furthermore, demand response programs are also considered. Finally, a rule-based real-time corrective algorithm is presented to eliminate the mismatched power. The simulation and implementation results demonstrate the efficacy of the proposed MAS-based optimization model in decreasing the operational costs of the multi-microgrid system with minimal communication and computational burden.

Hierarchical energy management system for multi-microgrid coordination with demand-side management

This paper presents an energy management system (EMS) with demand-side management (DSM) capabilities to optimally coordinate multiple microgrids connected to the same main grid. The proposed EMS comprises a two-level hierarchical control structure, with local controllers at microgrid level, and a supervisory control at the main-grid level. The main contribution of the proposed EMS is that it uses model-based predictive controllers (MPC) and DSM at both levels of the hierarchy. The main-grid level minimizes the imported power from the main grid and the shift from the expected demand for each microgrid. Moreover, it computes optimal aggregated power and demand side management references for each microgrid. The microgrid level manages the energy resources of each microgrid based on the reference signals sent by the main-grid level. Thus, the microgrid level tracks the main-grid level references, while minimizing both the power variation in the battery energy storage system and the variation in shifting factor to manage the demand. A simulation of a multi-microgrid system with three microgrids is implemented to validate the performance of the proposed two-level hierarchical MPC-based EMS with DSM. The proposed control scheme uses fuzzy Takagi–Sugeno models to predict the generation and consumption of the microgrids at both control levels. Furthermore, the proposed configuration is compared with two conventional EMS from the literature. The proposed architecture outperforms previously proposed controllers since, in the considered simulations, it (i) reduces to at least 1/4 the loss-of-power-supply probability for each individual microgrid, (ii) halfs the cycling of the individual storage devices in each microgrid, and (iii) reduces the overall system cost in ∼1.5%.

Establishment and application of the performance appraisal system for hierarchical diagnosis and treatment in China: A case study in Fujian province.

Hierarchical diagnosis and treatment, as an important measure and direction for China's medical reform, are conducive to improving the capacity of medical services and the national level of health. In this study, a hierarchical diagnosis and treatment performance evaluation index system is established to identify the effects of different influencing factors on developing hierarchical diagnosis and treatment. In this study, samples collected from 23 representative integrated medical institutions in nine Fujian cities from 2018 to 2020 are taken as subjects. A hierarchical diagnosis and treatment performance appraisal system is established based on the mechanism of research on the operation of hierarchical diagnosis and treatment. This is combined with the evaluation index system established by the Health Development Research Center, the National Health Commission of the People's Republic of China for the evaluation of hierarchical diagnosis and treatment and the construction of the medical treatment alliance, including studies carried out by related scholars. The weight of each evaluation index is determined with the CRITIC method, and the hierarchical diagnosis and treatment effects on 23 subjects are quantitatively evaluated by the Gray correlation method based on the weight of each index. The hierarchical diagnosis and treatment performance evaluation index system is established from three aspects, namely allocation of hierarchical diagnosis and treatment resources, establishment of the hierarchical diagnosis and treatment management system, and hierarchical diagnosis and treatment implementation effect; 27 tertiary indexes are formed in total. The Gray correlation of each year in Fujian exceeds 0.5, but <0.53. Gray correlation of each year in Fujian has gradually increased. But there is still room for improvement. The government departments must improve the investment in medical resources with measures adjusted according to local conditions, promote a balanced allocation of resources for hierarchical diagnosis and treatment, increase communication and interaction between upper and lower medical institutions, and optimize the allocation of resources for hierarchical diagnosis and treatment. Then determine the types of disease to be treated, expand the coverage of chronic disease management, establish standardized chronic disease health management, and strengthen training of health management staff.

A hierarchical Building Management System for temperature’s optimal control and electric vehicles' integration

A hierarchical Building Management System for temperature’s optimal control and electric vehicles' integration

Energy management in Converter-Interfaced Renewable Energy Sources through ultracapacitors for provision of ancillary services

The ever-growing penetration of Converter-Interfaced Renewable Energy Sources (CI-RES) and the gradual decommission of synchronous generators (SGs) are posing several challenges to guarantee the stability and robustness of the electric power system. A possible solution to overcome the foreseen problems is to enable the provision of ancillary services (AS) by advanced CI-RES emulating the SG performance. However, given the fact that most of the CI-RES operate at maximum power point, it will be required to rely on energy storage systems (ESS) to deal with active power related ASs. The ESS integration can be done in a straightforward manner within the CI-RES DC bus by means of a DC/DC converter. It is required, however, an adequate DC energy management to properly control the DC bus voltage, the ESS energy and the power delivered to the grid by the primary power source. This is a major challenge which must be solved to unlock the AS provision by means of CI-RES. With this regard, the main contribution of the paper is the design of an energy management system to simultaneously regulate the CI-RES DC bus voltage using the UC and also maintain the UC voltage within their safety limits while a given AS is provided. The control strategy is validated experimentally using a prototype with results that reveal a reliable and stable operation. • Three-layer hierarchical Energy Management System (EMS) for a Converter Interfaced Renewable Energy Source (CI-RES) comprising an ultracapacitor (UC) for ancillary service (AS) provision. • The DC bus voltage is controlled by the UC being possible to provide accurate AS since the point of interconnection (POI) active power can be precisely defined. • The UC voltage is regulated with a variable gain proportional controller which provides accurate AS while preventing the UC voltage from reaching its technical limits. • The proposed EMS has been tested using a laboratory prototype involving an integrated power electronic stack with a voltage source converter (VSC) and a DC/DC converter, a primary energy source and an UC.

Hierarchical Learning Management System for the Insurance Industry

This paper describes a model of a Hierarchical Learning Management System (HLMS) for the insurance industry. The problem is that LMSs are widely used, but not suitable for each educational environment and domain. The existing LMSs are with the general purpose and do not reflect the specific needs of different domains. The proposed LMS is a specific hierarchic system specially created for the insurance industry. The model uses a hierarchic approach to share, organize and present the learning content. It allows for building an LMS specific for the insurance industry which is reliable, efficient, fast, and easy to use by the insurance professionals.

Феномен риска в условиях цифровой трансформации социально-экономических экосистем

The relevance of the work lies in the need for creative understanding of the processes of evolutionary transition from a hierarchical management system in favor of the modular interaction of economic agents operating in socio-economic ecosystems in the context of modern digital transformation. The purpose of the article is to study the phenomenon of risk in the context of the digital transformation of socio-economic ecosystems based on the generalization and systematization of scientific sources in the field of research and analytical interpretation of statistical indicators of the digital transformation of the Russian Federation and its regions. Theoretical conclusions and practical proposals of scientists-economists specializing in the field of economic theory, systems theory, innovative economics, economic security, risk management were used as methodological foundations. It has been established that digital transformation is accompanied by certain risks for socio-economic ecosystems of various levels, creating threats for development purposes. It is substantiated that the main risk of the success of the digital transformation of socio-economic ecosystems at present is a significant differentiation of the regions of the Russian Federation in terms of the level of development of IT infrastructure, the availability of human resources and information security. It was revealed that in Russian economic science there is a tendency to spread the use of the definition of "socio-economic ecosystem" from stable, highly integrated cluster-type formations to regional and interregional levels and to identify their development indicators with the criteria for sustainable development of territories. The conclusion is formulated: the phenomenon of risk in the context of the digital transformation of socio-economic ecosystems is that, along with positive effects, a whole range of new threats and risky situations appear that impede the achievement of the desired development goals, predetermining the use of a constructive approach in public and sectoral management based on the integration relevant competencies, innovative technologies and management practices.

Electric Vehicle Trip Chain Information-Based Hierarchical Stochastic Energy Management With Multiple Uncertainties

This paper proposes a vehicle trip chain information-based hierarchical stochastic energy management system (Hi-SEMS) for a microgrid integrated with highly uncertain plug-in electric vehicles (PEVs) fleet, renewable energy sources, and loads. The two-layer Hi-SEMS scheme aims at optimal scheduling of PEV fleet to counteract the operational uncertainties encountered in real-time operation and minimizing the microgrid daily operating cost comprising the fuel cost and the emission cost. In the proposed work, the realistic behavior of PEVs fleet is modeled using a stochastic trip chain information to accurately forecast the charge/discharge demand taking into account the driver’s behavior as foundation. Realistic statistical trip data, multi-location charge/discharge of PEVs fleet to include coupled spatial-temporal dynamics of heterogeneous PEVs fleet is considered for intelligent charge/discharge scheduling. The effectiveness of the proposed strategy is verified on modified LV CIGRE and modified IEEE 33 bus radial distribution test networks and is compared with four different cases on each of the two test systems. The simulation results exhibit that the proposed Hi-SEMS outperforms the other four cases in terms of daily operating cost, the incentive to the PEVs owner, and robustness to multiple uncertainties.