A BIM Based Framework for Damage Segmentation, Storage, and Visualization

Current bridge inspection practices rely on paper-based data acquisition, digitization, and multiple conversions in between incompatible formats to facilitate data exchange. This practice is time-consuming, error-prone, cumbersome, and leads to information loss. One aim for future inspection procedures is to have a fully digitized workflow that achieves loss-free data exchange, which lowers costs and offers higher efficiency. On the one hand, existing studies proposed methods to automatize data acquisition and visualization for inspections. These studies lack an open standard to make the gathered data available for other processes. On the other hand, several studies discuss data structures for exchanging damage information through out different stakeholders. However, those studies do not cover the process of automatic data acquisition and transfer. This study focused on a framework that incorporates automatic damage data acquisition, transfer, and a damage information model for data exchange. This enables inspectors to use damage data for subsequent analyses and simulations. The proposed framework shows the potentials for a comprehensive damage information model and related (semi-)automatic data acquisition and processing.

РОЗРОБКА ІНФОРМАЦІЙНОЇ МОДЕЛІ МОНІТОРИНГУ ЕКОСИСТЕМИ

Goal. Development of an information model for monitoring ecosystem data obtained from facilities to identify deviations from the standard, in real time, at a distance and make decisions to eliminate themMethodology. The development of the system was based on the Minimum viable product with minimal functionality. and the minimum cost of resources. The concept of system development is considered on the example of a reasonable dormitory, where one of the components of the system is the Internet of Things technology, in which different device connect to the Internet and interact with each other. The sensors allow the device to send data to a computer program that will collect and analyze it. This will allow you to effectively identify the problem in the event of deviations from the standard during the operation of s and will facilitate the prediction of possible accidents, malfunctions and their elimination.Results. Based on the analysis of the characteristics of microcontrollers and sensors, a wireless communication module installed in the device of the monitoring system was selected, and types of sensors were selected for collecting and further analysis of ecosystem indicators The structural elements of the subsystem and the code for the example of the board for the sensor have been developed. To implement the task, the open programming language Processing and development tools were chosen that would satisfy all the requirements and have the necessary functionality. TelegramBot was chosen as the interface for the ecosystem's automated storage database concepts. To connect hardware devices, APIs and Internet services, Node-RED was chosen as the programming tool. To write the bot, the RedBot package for NodeRED was used.Scientific novelty. An original solution is proposed for the development of an information model of ecosystem indicators in premises based on the element base of the selected monitoring module, communication protocols and an interface for interacting with the user through a chat bot.Practical significance. The system was tested on data obtained in the hostel KNUTD in may 2021. This environment is hosted on Amazon Web Services (AWS) EC2The test results showed the system's operability, the ability to receive and analyze information in real time and quickly respond to dangerous situations. All this will improve the life of students in the hostel and ensure themselves and their health from the influence of negative factors.

Extension of Common Information Model of Load Storage in Regional Energy System Based on IEC61970

The need to reform the energy system is urgent. Choose new energy to supplement traditional energy according to local conditions, to build a comprehensive energy system will become more and more emerging development areas of the rigid demand. However, in the practical application of RIES, due to its high complexity and wide range of involvement, there are information islands between various equipment and systems, which cannot support its high efficiency and timeliness. Therefore, The common information model (CIM) modeling method can break the information interaction barriers between RIES.Taking a new area as an example, the CIM model expansion of photovoltaic generating electricity system, wind power system, EV charging equipment, substation class, thermoelectric conversion equipment and user load is established. The classes and class attributes required for the information interaction of RIES control center in the new area were designed, which laid the foundation for the interaction between different energy systems and the load and storage of the source network.

Detecting development scenarios of dynamic events in electric power network smart-grids. Part two “Selective Protection”

When implementing development concepts in the electric power industry (such as “Smart Grid”, “Digital substation” and “Outsourcing of services”), the task of ensuring stable relay protection operations and automation devices is urgent. The problem is solved according to the developed structural-information (SI) method. A method for selective search of the optimal amount of structured information for automatic decision-making is proposed. The article discusses an algorithm for recognising scenarios for the development of semantic events, which is included in the SP-method. The algorithm is applied uniformly for all hierarchical levels of recognition, based on the goals of decision making at the senior level. Control of the sequence of information events is performed in the dynamics of the passage of events along one path from all relationships according to the structural-information model. Part 1 shows a collaborative structural-information model consisting of a shaping tree in a dynamic object and a recognition tree in devices. A theoretical description of the algorithm is given using the amplitude and time (Ξ,Η) selectivity windows in the general structural scheme of S-detection. The application of the method for different hierarchical levels of recognition is shown. The decision-making results are presented in two forms, by means of a single semantic signal to indicate a group of results and filling in the table of the sequence of occurrence of the recognised elementary information components. Part 2 shows the application of the SPmethod at different hierarchical levels of recognition for the synthesis of a selective relay, which implements an algorithm for finding a damaged network section with single-phase ground faults in 6-35 kV distribution networks with a Petersen’s coil. The reasons for the unstable operation of algorithms of known selective relays are indicated, based on the concepts of scenario recognition. The improvement of the structure of a selective relay operating on the basis of the criterion for monitoring the coincidence of the first half-waves of the mid-frequency components in the signals of transient processes is considered. Examples of the synthesis of elementary detectors of absolute, relative and cumulative actions in relation to a selective relay are given, which make it possible to fill the amount of information for general S-detection. The simulation of the operation of the synthesised S-detector on the signals of real emergency files of the natural development of damage to the isolation of the network phase and simulation of artificial scenarios of events in the mathematical SI-model are carried out.

Development of a Platform for Securing Interoperability between Components in a Carbon-Free Island Microgrid Energy Management System

The rigidity of information technology (IT) has been hindering the development of various businesses regarding energy management systems (EMSs) of power networks, although this area has become more diversified, resulting in changes of elements in the systems due to the introduction of renewable energy (RE) and the new energy industry. In order to effectively accommodate these changes, EMSs should be developed in a structure with a standard-based interface, which can secure interoperability between components in the EMS. In previous studies, the common information model (CIM) proposed by IEC TC57 has been utilized for developing EMSs of power networks, but there are gaps between the existing CIM and an information model for the EMSs of carbon-free island microgrids (MGs), which are a newly introduced form of power network covering multiple islands for reducing carbon emissions. This paper proposes a CIM-based software platform for a carbon-free island MG-EMS to efficiently operate the power network and secure interoperability between components in the MG-EMS. Concerning service restoration of the power network, use cases and business objects representing information exchanged between the components in the EMS are derived, and the existing CIM is extended based on the results of the gap analysis in order to provide necessary information on the MG-EMS. The validity of the proposed platform is verified by exchanging payloads between components in the MG-EMS based on the profile extracted from the extended CIM. Furthermore, the performance of the proposed platform regarding data size and speed of data exchange is presented. Based on the case study results, it is concluded that the proposed platform based on the extended CIM can exchange data between the components in the MG-EMS, achieving reasonable data size and speed of data exchange with the help of the interoperability between components in the carbon-free island MG-EMS.

Developing Information Model of Central Line-Associated Bloodstream Infection (CLABSI) Prevention

CLABSIs are one of the most lethal and costly types of healthcare associated infections (HAIs). Regulatory organizations have mandated hospitals to submit monthly surveillance reports. However, there is an inaccuracy of presenting this report because of the lack of data standardization. This descriptive qualitative study aimed to develop a CLABSI prevention Information Model (IM) so the CLABSI prevention guidelines can be incorporated into structured nursing documentations. The flowsheet metadata stored in the Clinical Decision Repository was analyzed using an advanced analytics tool. The CLABSI prevention flowsheet data were mapped to 25 concepts, 45 data attributes and over 200 data value sets after organizing hierarchical structures. Seven domains of CLABSI prevention were identified in a CLABSI prevention IM. It would provide tangible benefits to create a practice reminder of the high risk for CLABSIs based on the nursing flowsheet data sets and multidisciplinary Electronic Health Record (EHR).

Neurocomputational mechanisms underlying the subjective value of information

Humans have a striking desire to actively seek new information, even when it is devoid of any instrumental utility. However, the mechanisms that drive individuals’ subjective preference for information remain unclear. Here, we used fMRI to examine the processing of subjective information value, by having participants decide how much effort they were willing to trade-off for non-instrumental information. We showed that choices were best described by a model that accounted for: (1) the variability in individuals’ estimates of uncertainty, (2) their desire to reduce that uncertainty, and (3) their subjective preference for positively valenced information. Model-based analyses revealed the anterior cingulate as a key node that encodes the subjective value of information across multiple stages of decision-making – including when information was prospectively valued, and when the outcome was definitively delivered. These findings emphasise the multidimensionality of information value, and reveal the neurocomputational mechanisms underlying the variability in individuals’ desire to physically pursue informative outcomes.