MONITORAGGIO RISCHIO SISMICO

& INTELLIGENZA ARTIFICIALE

Prevenire è meglio di curare !!!

Il ns. compito è addestrare i computer a imparare dai dati e a migliorare con l'esperienza, anziché essere appositamente programmato per riuscirci

SEISMIC RISK REGULATIONS

  • Since 2017, according to Ministerial Decree 58/2017, each building can be classified with a seismic risk class—classes ranging from A+ (maximum safety) to G (minimum). Originally, the seismic class change affected the Sismabonus rate, but starting January 1, 2025, with the 2025 Budget Law and Legislative Decree 39/2024, the rate is flat: 36% in 2025 and 30% from 2026. Knowing and improving a building's seismic class remains crucial, however, as improving it can positively impact the premium of the new catastrophe insurance policy, the ESG rating, and, in the event of an earthquake, can effectively counteract negative effects such as structural collapse and the inability to guarantee business continuity. The 8 seismic risk classes summarize, in increasing vulnerability, how much seismic energy a building can withstand before being damaged: A+ – behavior equivalent to a newly constructed building: negligible damage even with severe earthquakes. A – high performance; the building remains usable after the earthquake, with minimal repairs. B – good capacity: damage is limited and localized, with relatively short restoration times. C – sufficient level of safety; the building does not collapse, but post-event structural interventions are required. D – marked vulnerability: probable temporary unusability and widespread structural damage. E – high probability of serious injury or partial collapse; the use of the building is at risk. F – very fragile structure, with poor ductility and expected high repair costs. G – maximum vulnerability: loss of stability even with moderate earthquakes, requiring urgent safety measures. Simplified method and conventional method. The decree established two methods for calculating the risk class: the simplified method and the conventional method. In particular: Simplified Method The simplified method, outlined in Annex A of Ministerial Decree 58/2017, applies exclusively to masonry buildings and is based on a macroseismic classification obtained by completing a form that cross-references construction type, state of conservation, and geometric configuration. Pre-calculated tables are used to derive the IS-V (Safety Index) and PAM (Average Annual Loss) indicators, thus assigning an initial Risk Class without performing detailed surveys or calculations. The tool is designed for preliminary, cost-effective assessments: it can be used to quickly estimate the feasibility of local interventions and quantify potential improvements, but it allows a maximum of one class jump and is not suitable for structures made of reinforced concrete, steel, or prefabricated industrial buildings. Conventional Method The conventional method, described in Annex B of Ministerial Decree 58/2017, is applicable to any structural type—masonry, reinforced concrete, steel, or prefabricated industrial buildings. It requires a detailed geometric and material survey, material testing, and Limit State modeling using the analysis methods established by the current Technical Standards. On this basis, the IS-V and PAM indicators are analytically calculated both in the current state and after the intervention, certifying the improvement of one or more risk classes. The process produces a complete calculation file and the certification required for the Sismabonus, which is essential for prefabricated warehouses, reinforced concrete warehouses, or steel plants. Only this procedure can demonstrate every class improvement, obtain the maximum insurance discount, and satisfy the documentation requirements of banks and investors. How the class is assigned Part of the conventional method calculation is based on evaluating two parameters established by the Guidelines attached to the decree:
  • IS-V (Safety Index), the ratio between the peak seismic acceleration (PGAc) and the demand acceleration (PGAd) for the Life Safety Limit State.
  • PAM (Average Annual Loss), percentage share of expected repair cost over the life cycle.
  • Why improve the rating? Before planning an intervention, it's worth understanding the concrete economic benefits of a seismic class upgrade: the positive impacts aren't limited to structural safety, but also affect taxation, finance, and corporate risk management.
  • Tax deduction – a flat rate of 36% (30% from 2026) on a maximum of €96,000; the class certificate is not mandatory to demonstrate risk reduction, but remains a useful document for completing a building's assessment;
  • Insurance premium – companies adjust catastrophe premiums based on the class, with possible premium reductions based on class upgrades;
  • Asset value and bank rating – a building in class C or higher improves access to credit and strengthens the ESG profile, factors increasingly sought after by investors;
  • Operational risk management – increasing the rating reduces the likelihood of production downtime and lowers the extraordinary provisions required to cover any damage. Checking the seismic risk class of a warehouse or facility is not optional: it's the starting point for establishing the timing, budget, and priorities for improvement interventions. This assessment translates complex technical parameters into a clear and immediate index, providing a rough indicator that, combined with a modal analysis, can provide insight into the necessary steps to reduce the structural deficiencies identified. Contact us for a consultation; you can learn about your building's seismic risk class and take the appropriate measures to make it safe.
  • INNOVATIVE SYSTEMS DESIGN

    Seismic Monitoring with DIGITAL TWIN 3D SITE SURVEYS AND MONITORING Recent developments in seismic monitoring have introduced innovative solutions that integrate advanced anti-seismic technologies with monitoring systems. These systems allow for real-time data collection on the structural integrity of buildings, providing a detailed overview of their condition in the event of an earthquake. For example, anti-seismic sensors are now able to detect vibrations, displacements, and deformations, providing crucial information that can be used to assess the structural integrity of a building post-earthquake. This technology not only helps identify potential damage but can also activate automatic safety systems to mitigate the effects of an earthquake. Advanced Structural Monitoring One of the most significant innovations in structural monitoring involves the use of IoT (Internet of Things) solutions. These systems use wireless sensors to monitor a variety of physical parameters, such as deformation and temperature. The collected data is then processed through a cloud platform, creating a digital twin of the monitored environment. This allows for a deeper understanding of the state of the building or infrastructure. Sensors for Dynamic Monitoring The sensors used in these systems range from highly sensitive accelerometers to portable triaxial seismometers. They are designed to record high-resolution seismic signals, providing reliable and accurate data. These sensors are essential for monitoring structures such as bridges, viaducts, tunnels, and even historic buildings and monuments.

    L'integrazione dell'Intelligenza Artificiale nei sistemi di monitorasggio offre una vasta gamma di funzionalità mirate all'ottimizzazione dei sistemi previsionali. Tra i servizi offerti attraverso l'A.I., possiamo trovare:

    La procedura di installazione dell'apparecchiatura coinvolge diverse figure chiave, ognuna delle quali svolge un ruolo fondamentale nel garantire il corretto funzionamento del sistema.

    Data and Application Management

  • Once the system is up and running, the company/property will be offered two distinct methods for managing the data generated by the system itself. The two main options are internal and external management: INTERNAL MANAGEMENT In this mode, the company/property chooses to manage the data internally, entrusting responsibility for data management and interpretation to a specialist trained directly by a Specialized Technician from our Team. EXTERNAL MANAGEMENT In external data management, our specialized technicians take direct responsibility for managing and analyzing the data generated by the system. They offer a series of specialized services aimed at optimizing data use and providing technical and administrative support to the client company. The main services offered are listed below:
  • DATA ANALYSIS FOR SYSTEM DIAGNOSTICS: The technicians dedicate themselves to the detailed analysis of the data produced by the system to assess the health of the installed systems. This analysis allows us to identify any anomalies, impending failures, or inefficiencies in the monitoring processes, allowing for timely maintenance or correction interventions.
  • PREDICTIVE MAINTENANCE REPORT DRAFTING: Specialists draft detailed reports based on the analysis of collected data, providing valuable insights for implementing predictive maintenance strategies. This type of maintenance allows for advance planning of interventions.
  • PROCESS AND CONSUMPTION MANAGEMENT AND OPTIMIZATION: In the context of process and consumption management and optimization, the use of collected data offers a unique opportunity to propose targeted solutions for improving the efficiency of company infrastructures. Through detailed data analysis, it is possible to identify areas for improvement and implement strategies aimed at optimizing operational efficiency. Below are some of the solutions that can be proposed: > Set-Point Parameter Remodulation:
  • Data analysis allows for evaluating the performance of industrial processes and optimally adjusting set-point parameters.
  • By modifying operating parameters based on actual conditions, it is possible to improve efficiency in the required alert. > Feasibility Study (Investment Plan):
  • Based on collected data and performance analysis, a feasibility study can be developed to identify the best investment opportunities.
  • This study may include evaluating the costs and benefits associated with different optimization solutions and defining a long-term investment plan to improve the efficiency of anti-seismic systems.
  • TECHNICAL AND ADMINISTRATIVE SUPPORT FOR ACCESSING TAX BENEFITS: From a tax administration perspective, we offer a full range of services and opportunities designed to optimize the company's performance and maximize available tax benefits. This is achieved through rigorous analysis of tax regulations and a thorough understanding of the regulatory environment.
  • Through an in-depth analysis of the obtained data, it will be possible to develop a detailed assessment of the operational status of the installed equipment. This assessment will be based on a sophisticated probabilistic analysis, using weighted averages to obtain an accurate representation of the plant's condition. The main results obtained include:
  • Equipment wear status: An in-depth analysis of the wear status of industrial equipment will be conducted, considering various parameters and indicators. The structural integrity of the equipment will be assessed, with particular attention to critical components such as bearings, gearboxes, and other elements subject to wear. Any signs of deterioration or corrosion on metal components will be examined, as well as the presence of visible damage or anomalies in contact surfaces. Signs of degradation in non-metallic components, such as seals, belts, and plastic components, which may affect equipment performance, will also be considered. System anomalies: Any system anomalies that may affect the correct operation of the equipment will be identified and analyzed. These anomalies may involve software malfunctions, calibration errors, or compatibility issues between components. Particular attention will be paid to sensor reading errors, signal losses, or failures in automatic control systems, which can compromise the safety and efficiency of operations. Out-of-range parameters: Data will be analyzed to identify operating parameters that deviate from the optimal ranges defined for the equipment. These parameters may include temperatures, pressures, rotational speeds, or other specific indicators of operating conditions. Identifying out-of-range parameters may indicate the need for adjustments, calibrations, or corrective maintenance to restore equipment performance to acceptable limits. Excessive consumption: Energy consumption data will be analyzed to identify situations of overuse or inefficient use of resources. Any abnormal peaks in energy consumption or significant variations from baseline levels will be assessed, which may indicate efficiency problems or energy losses in the system. Abnormal wear (bearings, gearboxes, etc.): A specific analysis will be conducted to detect signs of abnormal wear on critical components such as bearings and gearboxes. Particular attention will be paid to abnormal noises, excessive vibrations, or localized overheating, which may indicate wear or damage to mechanical components. This detailed analysis will provide a comprehensive overview of the health of industrial equipment, allowing for the timely identification and addressing of any critical issues and ensuring reliable and safe plant operation.
  • Predictive maintenance setup To set up predictive maintenance, the following activities will be required: Maintenance scheduling and coordination with other machines: Predictive maintenance activities will be planned based on the data collected during the plant analysis. The timing and methods for carrying out preventive maintenance operations will be defined, taking into account the specific needs of the plant and the equipment involved. Maintenance activities will be coordinated with other machines or systems in the plant, ensuring integrated and synergistic management of operations to maximize the overall effectiveness of maintenance activities. Maintenance priority setting: Different maintenance activities will be prioritized based on the criticality of the equipment and components involved. Equipment or components requiring immediate or urgent intervention will be identified to ensure operational continuity and plant safety. Objective criteria will be established for prioritizing maintenance, taking into account factors such as the impact on plant performance, the risk of failure or malfunction, and the availability of resources required for the intervention. These activities will allow for the effective planning and management of predictive maintenance operations, ensuring timely and targeted preventive maintenance that will help reduce the risk of failure and optimize the plant's overall performance.
  • Plant Optimization Methods: Regarding plant optimization methods, the following strategies will be implemented: Process Analysis and Inefficiency Identification: A detailed analysis of production processes and plant operations will be conducted to identify any inefficiencies or areas for improvement. Activities or processes requiring optimization will be identified to maximize the plant's overall efficiency. Staff Training and a Culture of Continuous Improvement: Investment will be made in staff training to ensure proper understanding and adoption of new practices and technologies. A culture of continuous improvement will be fostered, encouraging active staff involvement in identifying optimization opportunities and implementing innovative solutions. Implementing these plant optimization methods will maximize operational efficiency, reduce production costs, and improve the company's overall competitiveness.
  • ACCESS TO THE DEDICATED WEB PORTAL

    Monitoring is unreliable without proper maintenance of installed equipment. We offer preventative maintenance: this is performed after identifying one or more parameters, which are measured and processed using appropriate mathematical models to determine the time remaining before failure. To this end, we employ a variety of methodologies, such as structural analysis of buildings, vibration measurements, thermography, analysis of absorbed currents, detection of abnormal vibrations, and many others. To predict when maintenance will be necessary, we base our analysis on the actual condition of the equipment, rather than on average or expected lifespan statistics. A change in the measurements taken compared to normal operating conditions will indicate increasing degradation and, ultimately, allow us to predict the timing of failure. LOGIN CREDENTIALS: USER: enzo@bernazzoli.it PW: BernazzoliXX What year is it?