Level Of Detail Research Articles

Problems and Tasks of Building a Digital Information Model of Buildings for the Implementation of Housing Capital Repair Programs

The purpose of the work is the development and use of digital information models (DIM) of apartment buildings (AB) of standard series of the Soviet period of construction at the stage of operation of the building. The stages and recommendations for the development of standard design DIM AB, requirements for the level of elaboration (detailing) of models are presented. The most common series of ABs in the central part of Arkhangelsk have been identified. With the help of Renga software, models have been developed for 4 standard series of AB. The level of elaboration is determined, on the one hand, by the possibility of using the model as an operational one without modification, on the other hand, by the possibility of refining it by increasing the level of detailing of the elements.

Design and mathematical modelling of Electric Vehicle

A model which is based on design will reduce the development cost of the system. There are different phases associated with complex models for systems like Electric Vehicles, these include Functional Specification definitions, Design specification, Test and authenticate and implementation. The case study done in this paper will be including only first two stages. The results will help to understand how the system designer can take decisions using simulation output. Simulation is a very complicated task which can represent simple design with precision and complex design with great accuracy that is almost near to the practical model. There is a compromise when making decisions with respect to precision and design complexity. It is always recommended to consider accurate models but when parameters are considered it is very difficult to determine parameters preferably in first stage of the model development and even the simulation of these accurate model is very slow. Hence a more detailed level of simulation model is needed. So, the system designer needs a complete overview of system power flow in the initial level of modelling. In the second level there is a need of designing more accurate model of different systems in which choosing an appropriate parameter for energy management system and power converters is needed. In this paper it can be clarified that a detailed design will validate the system’s behaviour with great accuracy and to conduct other adoptions as requires.

Analysis of Creative Thinking Ability of Class X Students in Solving Biology Problems on Viruses

Background: This study aims to analyze descriptively students' creative thinking skills in solving biology questions regarding viruses at class X level at MA Mazro'atul Huda Wonorenggo Demak, based on the results of written test answers given by researchers to students. Methods: The type of research is quantitative research with data in the form of numbers that are processed using simple statistical formulas. The object of this study was the 20 students in class X as a population research. Data collection techniques used were written tests, interviews, observation and documentation. The statistical analysis is simple in the form of percentage data. Results: From the analysis conducted on the creative thinking abilities of class X MIPA 1 MA Mazro'atul Huda Wonorenggo Demak, it can be concluded that students' creative thinking abilities are in the high category with a percentage of 55%. The highest percentage is in the level of detail with a percentage of 70%, while the lowest percentage is in the level of fluency and novelty with the same percentage, namely 59%. Conclusion: Students who have high level abilities are able to fulfill all categories in the indicator, students who have medium levels are able to fulfill several indicator categories, while students who have low level abilities, have not been able to fulfill all categories in indicators. Keywords : Creative thinking ability; Biology; Virus

Imcube: A static particle size analyzer for all shape types via advanced vision tools and integrated machinery

An integrated machinery to perform the analysis of particle size distribution through image processing formulations is presented. The product is comprehensive and flexible to many different industrial needs with a tailored hardware integration and design, which employs a set of sophisticated algorithms for the computational efficiency and accuracy. Compared to the traditional methods, the architecture is superior and provides significant impact as irregular and noncircular particles from a wide dimension spectrum can be analysed instantly, eliminating the need for significant manual effort with conventional trays with low accuracy. The reports are obtained through the built-in screen, mounted on the device, at customer specified detail level in addition to state-of-the-art presentations benefiting common statistics. The prediction performance, which is validated through industrial data, can further be developed for smaller particles, as a higher resolution camera implementation is necessary, with a heuristic algorithm to estimate the maximum likelihood of particle sizes when they overlap on the measurement tray.

The Formation of the Units of the Polish People’s Army (1944-1945) in Eastern Poland. The LiDAR Evidence

This article provides an overview of landforms that are remnants of military camps created during the formation of the Second Polish Army in the area of Łuków, Międzyrzec Podlaski and Radzyń Podlaski (E Poland) in 1944-1945. These landforms were discovered while conducting surveys for the construction of the S19 expressway and were further investigated for a comprehensive understanding. The focus of this article is on mapping and visualizing these structures and identifying individual military units at the division and regiment levels. The research was conducted using non-destructive prospection methods, utilizing publicly available LiDAR data obtained through the ISOK project, which scanned the Polish area. The identification of military units was based on existing literature, providing a framework for establishing specific connections. However, due to the level of detail in the descriptions, there are cases where clarity is lacking, leaving room for further historical study of the military activities during the discussed period. The article acknowledges that the limited scope necessitates omitting details regarding the internal organization of military structures, their connection to military instructions, and historical records of their construction and use.

Evaluation of computational models for electromagnetic force calculation in transformer windings using finite-element method

Computer simulations are currently one of the most used methods on transformer’s short circuit analysis. For them to be effective, an accurate characterization of the transformer core and geometric representation of windings is essential. Hence, this work investigated the influence of core characterization and different geometric representations on magnetic flux density (MFD) and electromagnetic forces (EF) calculated during short circuits. A comparative study using simulations based on the finite-element method (FEM) were carried out for a 180 MVA transformer model. First, the influence of the nonlinear characteristic of the core B-H curve on EF was analyzed. Then, three two-dimensional (2D) axisymmetric and one three-dimensional (3D) representations were compared. Results indicate there is no significant difference in EF with a core represented by a constant value of permeability. Also, 2D-axisymmetric geometric representations underestimate radial forces and diverge significantly on axial forces in comparison with the 3D representation. Differences up to 99% between the calculated total axial forces were obtained for the analyzed cases. In addition, representations with greater level of detail result in magnetic force density up to 5.5 times greater than that obtained with the simplified representation.

Fault structure and slip mechanics of the 2022 Mw 6.7 Menyuan earthquake revealed by coseismic rupture observations

Large and shallow strike-slip earthquakes produce striking ground ruptures, damaging roads and infrastructure but providing great opportunities for examining the fault's structure. After the 2022 Mw 6.7 Menyuan earthquake, we observed abundant surface fractures by a combination of optical remote sensing, radar offset and unmanned aerial vehicle measurements. These fractures reveal a complex fault structure including apparent bending geometries and bifurcating branches, which are essential to understanding the mechanisms of faulting. In this paper, we used triangular dislocations to construct the fault geometry that reflected the distribution of measured strike changes but avoided unexcepted discontinuities and overlaps where the fault bent. The modeled fault geometry revealed an extensional releasing bend which was responsible for the southward branching of the fault rupture at its western edge. Our results also demonstrated the potential to explain the occurrence of aftershock clusters and to infer their fault geometries through the correlation analysis of the aftershock distribution and the slip induced stress field. The triangular dislocation model also enabled the calculation of the fault plane roughness and its spatial variation which directly controlled the fault slip magnitude and rupture termination. These analyses reveal an unprecedented level of detail of the fault structure and slip mechanics and, to some extent, offer insights into the physical processes and structural properties of crustal faults in the Earth's shallow crust.

UAV-based automated 3D modeling framework using deep learning for building energy modeling

Many approaches to the Urban Building Energy Model (UBEM) have been developed to analyze urban-scale energy demand patterns. The main goal of UBEM is to minimize manual work and improve modeling accuracy when building 3D modeling procedures that deal with vast amounts of data. To do so, it is important to build an automated process and increase the modeling efficiency throughout the process. This study proposes a new framework for automatically generating 3D models for building energy modeling. This framework collects geographic coordinate system (GCS) data by applying algorithms based on a convolutional neural network (CNN), Haversine formula, unmanned aerial vehicle (UAV), and geographic information system (GIS) information. The collected GCS data were used to generate a 3D model using EnergyPlus, resulting in a 3D model capable of a Level of Detail 3. Subsequently, we compared and verified the size and energy performance of the actual building with those of the generated model. The model size errors generated without drawing information are as follows: buildings, 3.69%, windows1 16.75%, and windows2 19.43%. The error range evidenced through the energy performance evaluation indicator showed that the MBE values for the cooling and heating energies were 5.54% and 5.77%, respectively.

Developing the Patient Falls Risk Report: A mixed-methods study on sharing falls-related clinical information from home care with primary care providers

Background: Only 24% of Canadian primary care providers communicate with home care providers about the needs and services of patients. This service gap puts vulnerable people at risk of adverse events. One tool that may enhance communication between home care and primary care is the interRAI home care (interRAI-HC), a mandated comprehensive geriatric assessment in home care. The focus of this study was on development of a one-page document for sharing falls-related clinical information from the interRAI-HC with primary care providers (i.e., the Patient Falls Risk Report).
 Target audience: Primary care providers who feel siloed from the rest of the health care system.
 About the intervention: The Patient Falls Risk Report is a structured, one-page, faxable form that contains falls-related patient information derived from interRAI-HC assessments. The report is evidence-based and includes personalized information on future falls risk, balance, cognition, pain, foot problems, medications, and physical activity levels, as well as recommendations for falls prevention in older persons.
 Stakeholder engagement and other research methods: This mixed-methods intervention development study began with one-on-one stakeholder engagement via semi-structured interviews with primary care providers. We first explored their views on falls-related information sharing. Then, we tested a prototype of the Patient Falls Risk Report for usability and utility, thematically analyzing the findings to iteratively to develop the tool. The report was then evaluated again with voluntary self-report surveys based on the System Usability Scale.
 Results: A sample of 9 interview participants co-developed the Patient Falls Risk Report to improve its clarity and level of detail. All participants stated that they would use the report in their practices and most believed that it could support care provision due to its inclusion of relevant, actionable information. In the end, a survey sample of 27 participants determined that the report was highly usable, with an overall usability score of 83.4 (95% CI = 78.7, 88.2). However, the need for improved shared care planning and community responsibility was also emphasized.
 
 Impact: This study demonstrates that information collected from existing clinical assessments can be shared with primary care providers in a useful manner. It also highlights criteria to inform the design of future information-sharing interventions, especially those harnessing interRAI assessments.
 Key Learning: Primary care providers need tailored and consistent streams of communication with other health care providers so that collaboration and integration can become a reality. 
 Next Steps: We are at a turning point in health care, where the functionality of health information systems is improving, and fax is becoming increasingly obsolete. Based on the recently published results of this study [1], we are currently collaborating with government and eHealth organizations on an implementation plan for interRAI information sharing with patients and caregivers in Ontario, Canada. 
 1. Nova AA, Heckman G, Giangregorio LM, Alarakhia M. Developing the Patient Falls Risk Report: A Mixed-Methods Study on Sharing Falls-Related Clinical Information from Home Care with Primary Care Providers. Canadian Journal on Aging / La Revue canadienne du vieillissement. 2022;1–14.
 
 

Integration of processes related to the implementation of the mediGOAT platform in diabetic patient care.

Diabetes has always been viewed through the prism of the fact that any expenditure in this area is a threat to the budget of the entire health care system. Most often it is the progress of science that forces integration activities. An example may be the integration processes related to the implementation and creation of the mediGOAT platform, which are focused on its multi-functionality, i.e. the ability to connect many different measuring devices (Glucometer, CGM, SmartPen, Insulin Pump, GlucoActive) from many manufacturers. They are made up of smaller particles with their own rules and goals, such as engaging and evaluating activities. We meet with this, among others by implementing good practices.
 As a result, such activities give the user more choice and independence from many native applications (manufacturers), and it enables cooperation with Google Health and iHealth (Apple). This makes it possible to use additional information provided by External Applications (meals, exercise, pressure, weight, ...) in the treatment process. In addition, it allows you to collect and store your medical records (including the results of medical tests). The indicated/selected medical/health data (in the future on-line measurements) can be provided to the doctor via the Portal, ensuring security (login via Apple and Google, Backup) and ease of use.
 Additional knowledge is written at various levels of detail, scattered in different places, its origin is sometimes uncertain, which makes it unreliable. It is often oversized where it is not necessary, and various sources can contradict each other. Therefore, it is important to use trusted sources. Controlling blood glucose levels is important, as are the circumstances surrounding such a measurement, what you do and where you are. Mobile Continuous Glucose Monitoring, using CGM, enables up to 288 readings per day, giving you insight into information that fingerstick tests cannot match. CGM provides real-time glucose readings every five minutes throughout the day and night, notifying you of high and low values. The sensor continuously measures the glucose level just below the skin and transmits the data wirelessly to the display device via the transmitter. This enables an immediate reaction. A discreet sensor placed just under the skin (the automatic applicator introduces the sensor just under the skin with one press) measures the glucose level for the time specified by the manufacturer. Glucose data is sent wirelessly to the analysing and smart device via Bluetooth® or NFC technology. Such a device can be a compatible smartphone or other optional receiver that displays and archives glucose data in real time.

Model of four cyber attack information environments

The basis of the functioning of the modern cyber defense infrastructure of the corporate IT system is the procedure of comparing current events in the computer environment with the security event indicator. If the indicator matches the corresponding event, security information about this event is generated and transmitted to the SIEM for analysis. Based on the results of the analysis, a decision is made about the existence of a cyber security incident. At the next stage, a decision is made and implemented, which restores the state of cyber security. A mandatory condition for the effective cyber defense infrastructure is the availability of knowledge about possible cyber threats and relevant signs (indicators) of security events at the technical level of computer systems. Cyber threat intelligence (CTI) is responsible for forming signs of security events. In the conditions of large-scale application of common repetitive cyberattacks, the main function of CTI was to identify simple technical features called indicators of compromise (IOCs). Bit sequences (signatures) are used as such IOCs. In the conditions of large-scale application of complex cyberattacks, the task of developing such APT attack forecasting maps that allow the formation of security event attributes pattern (SEAP) for automated detection by computer means of cyber defense infrastructure becomes urgent. The article is devoted to the development of a model that, with the help of an attribute-transfer approach to the essence of information, allows to formalize the processes of cyber protection. The model visually details and combines the events that reveal the essence of the APT attack preparation and implementation, the processes of protection and the task of cyber threat intelligence to determine specific data for the means of an effective cyber defense infrastructure. The level of detail of the model allows the application of known mathematical constructions to describe security events and security information. This approach simplifies the forming algorithms for automating cyber protection processes.

Tożsamość narracyjna osób z chorobą nowotworową

Research about health loss shows that the way we experience critical moments and build a new identity are important in giving meaning to disease. It allow to integrate the experience of illness into the whole of life. The aim of the research was to analyze the narrative identity reflected in the life history and to explore the factors contributing to the differences in the formed narratives. A research question was: what narrative about one’s life does a person with an oncological disease create? The Polish adaptation of Dan McAdams’ life story interview was used. The study was conducted in group of four people with cancer remission. The research material was subjected to McAdams’ proposed sequence and consistency analysis. Elements of hermeneutic analysis were also used. The patients identity is coherent and mature, their narrative include the time from childhood to the present. Narratives differ in the degree of paying attention on the description of emotional experiences, the level of detail and the way of moving to the next stages of the story. Patient include the disease in their narratives, doing so in an individual way. However, it is possible to distinguish two ways of storytelling. One of them is the location of the disease in the broader background of the life situation, the other – recognizing the disease as the main moment in a given part of the story, constituting its title. It seems interesting to perform comparative research in a group of people, who are during diagnosis of cancer and relate them to the results of people in remission stage.

Statistically assessing vertical change on a sandy beach from permanent laser scanning time series

In the view of climate change, understanding and managing effects on coastal areas and adjacent cities is essential. Permanent Laser Scanning (PLS) is a successful technique to not only observe notably sandy coasts incidentally or once every year, but (nearly) continuously over extended periods of time. The collected point cloud observations form a 4D point cloud data set representing the evolution of the coast provide the opportunity to assess change processes at high level of detail. For an exemplary location in Noordwijk, The Netherlands, three years of hourly point clouds were acquired on a 1 km long section of a typical Dutch urban sandy beach. Often, the so-called level of detection is used to assess point cloud differences from two epochs. To explicitly incorporate the temporal dimension of the height estimates from the point cloud data set, we revisit statistical testing theory. We apply multiple hypothesis testing on elevation time series in order to identify different coastal processes, like aeolian sand transport or bulldozer works. We then estimate the minimal detectable bias for different alternative hypotheses, to quantify the minimal elevation change that can be estimated from the PLS observations over a certain period of time. Additionally, we analyse potential error sources and influences on the elevation estimations and provide orders of magnitudes and possible ways to deal with them. Finally we conclude that elevation time series from a long term PLS data set are a suitable input to identify aeolian sand transport with the help of multiple hypothesis testing. In our example case, slopes of 0.032 m/day and sudden changes of 0.031 m can be identified with statistical power of 80% and with 95% significance in 24-h time series on the upper beach. In the intertidal area the presented method allows to classify daily elevation time series over one month according to the dominating model (sudden change or linear trend) in either eroding or accreting behaviour.

Is the time right for a new initiative in mathematical modeling of the lower urinary tract? ICI-RS 2023.

A session at the 2023 International Consultation on Incontinence - Research Society (ICI-RS) held in Bristol, UK, focused on the question: Is the time right for a new initiative in mathematical modeling of the lower urinary tract (LUT)? The LUT is a complex system, comprising various synergetic components (i.e., bladder, urethra, neural control), each with its own dynamic functioning and high interindividual variability. This has led to a variety of different types of models for different purposes, each with advantages and disadvantages. When addressing the LUT, the modeling approach should be selected and sized according to the specific purpose, the targeted level of detail, and the available computational resources. Four areas were selected as examples to discuss: utility of nomograms in clinical use, value of fluid mechanical modeling, applications of models to simplify urodynamics, and utility of statistical models. A brief literature review is provided along with discussion of the merits of different types of models for different applications. Remaining research questions are provided. Inadequacies in current (outdated) models of the LUT as well as recent advances in computing power (e.g., quantum computing) and methods (e.g., artificial intelligence/machine learning), would dictate that the answer is an emphatic "Yes, the time is right for a new initiative in mathematical modeling of the LUT."

Characteristics of operational control reliability of aircraft functional systems and avionics suites

The operational control system (OCS) of civil aircraft (A/C) airborne equipment is an important component of its technical operation system (TOS). Operational control is an integral part of the technical operation process. It makes it possible to assess the technical conditions (TC) of the objects to be monitored in various states of airborne equipment operation, aircraft preparation for flight, various types of maintenance and recovery. The main property of operational control is the reliability of control. The key task of operational control is not only to determine the type of technical condition, but also to quantify the correctness or erroneousness of decision-making. Control reliability characteristics (CRC) are quantitative indicators of the degree of objectivity in decision-making. Depending on the level of task details, it is necessary to distinguish the control reliability characteristics of units, functional systems (FS) and avionics suites for various means of operational control: built-in test equipment (BITE), on-board self-contained, ground-onboard and ground systems. The choice of the control reliability characteristics is based on the system analysis and the mathematical apparatus of logic, probability theory and mathematical statistics. Rational sets of technical states and decision-making about the technical conditions of functional systems and avionics suites are formed. Based on these sets, three groups of control reliability characteristics were identified. The first group consists of conditional probabilities of transitions in the operational control process under various types of control. The second group consists of unconditional probabilities of transitions in the operational control process under various types of control. The third group consists of a posteriori decision-making probability in the operational control process under various types of control. Analytical dependences for calculating the control reliability characteristics of three groups for functional systems and avionics suites and relationships between them are determined. The air-conditioning system was used to calculate the reliability of the control.

Automation process in data collection for representing façades in building models as part of the renovation process

A key barrier in building-facade renovation processes is that, contrary to new designs, an initial building model where the design process is based rarely exists, and the technologies usually employed to create it (e.g., based on point cloud scanning) are costly or require modeling skills. This situation is a clear limitation, especially in early decision stages, where the level of detail required is not very high, and the analysis and studies to consider the renovation plan (e.g., simplified energy simulations and renovation potential, or estimation of the number, types, and dimensions of the prefabricated modules incorporating solar panels) highly depend on such digital models. This paper introduces a process that, based on freely available data such as open GIS sources (local Cadasters, OpenStreetMap…) and façade images, can semi-automatically generate the 3D building model of the existing conditions, and in a second step also suggests the prefabricated facades module layout for building upgrades. Additionally, no onsite visit is needed. When the upgrade is focused on the façade, a big opportunity is identified for generating the building model and a realistic representation of its envelope, only using online data sources as input. The process developed consists of a set of easy-to-use software tools that can be used independently or combined in a workflow, depending on the available data and starting conditions. Time saving is very clear and costs can be reduced.

Analysis of Electrode Materials for Li-Ion Batteries by Synchrotron Soft X-Ray Microspectroscopy

The development of clean energy devices such as Li-ion batteries is attracting attention in order to realize a low-carbon society. In addition to development of materials for Li-ion batteries, advanced analytical methods are also being developed to obtain the guideline of new materials and improve battery performance. We have been working on electronic structure analysis of transition metals and oxygen using synchrotron soft X-ray absorption and emission spectroscopy including ex-situ measurements and operando measurements. [1-3] We have also reported on synchrotron radiation micro-photoemission spectroscopy of all-solid-state Li-ion batteries using an operando measurement system. [4,5]In this presentation, we report analysis of each facet of a single crystalline LiCoO2 particle by resonant photoemission microspectroscopy. Resonant photoemission spectroscopy is element-selective method for obtaining valence band spectra using excitation energies around the absorption edge of target elements. Co 2p-3d absorption (L 2,3 absorption edge) of LiCoO2 was used to study the Co 3d orbitals near the Fermi level in detail. [6] Next, we report on the absorption spectroscopy of LiCoO2 using scanning transmission X-ray microscopy (STXM). The spatial resolution of about 100 nm can be used to analyze the chemical state distribution for each particle or within each particle. [7]References Electrochem. Commun. 50 (2015) 93-96.Phys. Chem. Chem. Phys. 21 (2019) 26351–26357.Phys. Chem. Chem. Phys. 24 (2022) 19177-19183.J. Electron Spectrsc. Relat. Phenom., 233 (2019) 64-68.Sci. Rep., 9 (2019) 12452.CrystEngComm, 25 (2023)183-188.Sci. Rep., 13 (2023) 4639.

Cell Level- Modeling of Aging and Rejuvenation

Understanding processes related to human aging and rejuvenation relies on experimental data and advanced models operating at different levels. There are several existing conceptual and specific modeling approaches. However, one of the existing tasks is compiling generic models linking properties at cell and cell-element levels to properties at systemic levels - tissue, organ, and whole body. One of the critical issues in the relevant models is the enormity of interacting components at the cell and sub-cell levels needed to represent the properties of high-level systems properly. This paper describes a promising approach to modeling and simulation at the cell population level for studying aging and rejuvenation. It also presents initial conclusions formulated based on the results of modeling and experiments coupled to it. The model is based on the concepts of the proliferation niche and homeostatic cell number stabilization in the cell population through the associated action of proliferation and apoptosis. Importantly, we address the issue of defining “aging” and “rejuvenation” for cell populations containing large numbers of cells of different ages. It is possible to demonstrate that homeostatic regulation can be performed by maintaining the concentration of a single regulatory substance. Predictions and simulations of the proposed model are compared to data from existing publications and experiments specifically conducted to validate the model. Currently, none of the available data contradicts the modeling results at the proposed level of detail. However, an inadequate number of elements and the employed statistical approach further limit progress in such modeling. Expanding the proposed method to include a realistic number of features representing human tissues, organs, and body and to allow for proper modeling of aging and rejuvenation processes requires more advanced modeling techniques.

Seismic Risk Analysis of Existing Link Slab Bridges Using Novel Fragility Functions

In this paper, a comprehensive probabilistic framework is proposed and adopted to perform seismic reliability and risk analysis of existing link slab (LS) bridges, representing a widely diffused structural typology within the infrastructural networks of many countries worldwide. Unlike classic risk analysis methods, innovative fragility functions are used in this work to retrieve more specific and detailed information on the possible failure modes, without limiting the analysis to the global failure conditions but also considering several intermediate damage scenarios (including one or more damage mechanisms), and providing insights on the numerosity of elements involved within a given damage scenario. Reliability analyses are performed on a set of LS bridges with different geometries (total lengths and pier heights) designed according to the Italian codes enforced in the 1970s. Accurate numerical models are developed in OpenSees and Multiple-Stripe nonlinear time–history analyses are carried out to build proper demand models, from which fragility functions are determined according to two limit states: damage onset and near-collapse. Mean annual rates of exceeding are thus estimated through the convolution between the hazard and the fragility. The results shed light on the main failure mechanisms characterizing this bridge typology, highlighting how different levels of risk (hence safety margins) can be associated with failure scenarios that differ in terms of elements/mechanisms involved and damage extension. Such a higher level of detail in the risk analysis may be useful to better quantify post-earthquake consequences (e.g., costs and losses) and define more tailored retrofit interventions. A comparison of the reliability levels associated with bridges of the same class with different geometries is finally presented.

Scan-to-HBIM: automated transformation of point clouds into 3D BIM models for the digitization and preservation of historic buildings

Three-dimensional digital models of historical buildings must seamlessly integrate a wide array of data from diverse sources, including point clouds, alphanumeric information, 2D and 3D representations, BIM, GIS, images, sensor data, and real-time information streams, among other heterogeneous resources. Centralizing and presenting this multifaceted information cohesively is fundamental for fostering a comprehensive understanding and analysis of these historical monuments. In this context, the article introduces an automated process (Scan-to-HBIM) tailored specifically to transform point clouds into threedimensional models within BIM environments. This innovative approach not only enhances the accuracy in representing historic buildings but also significantly amplifies the level of detail (LoD), enabling a more nuanced representation of architectural structures. The article delves into the Scan-to-HBIM process, elucidating its relevance in the broader context of digitization and preservation of historic buildings, with a particular focus on its application to a sample point cloud. Furthermore, it underscores the pivotal advantages of this approach, emphasizing its proficiency in managing diverse datasets, elevating the level of detail, and exploring practical applications in both BIM and GIS realms.