The application of these new technologies spans various fields, adapting to the circumstances and environments of use to enable versatile and comprehensive use of the equipment. Some of the established fields of application include:

Industrial mixers/reactors: New technologies can be integrated to optimize the mixing and reaction process in an industrial setting, improving efficiency and the quality of the final product.

Industrial extraction systems (melting furnaces): Advanced technologies can be used to improve the effectiveness of industrial extraction systems, ensuring the efficient removal of fumes, vapors, and harmful particles from metalworking and smelting processes.

Grinding wheel extraction systems and extraction towers: New technologies optimize the efficiency of extraction systems used in industrial environments to remove dust, fumes, and vapors that are harmful to health and the environment.

Shooting ranges: Innovative technologies can be implemented to improve the safety and efficiency of shooting ranges, enabling advanced management and monitoring of ventilation systems.

Chemical laboratories: To ensure safer management of ventilation and alarm systems

Compressor motors and machine and tool motors: New technologies can be integrated into compressor motors and machine and tool motors to optimize performance, reduce energy consumption, and extend operating life.

Rolling mills: In rolling mills, advanced technologies can be used to improve the precision, speed, and quality of material rolling, while reducing waste and downtime.

Industrial plant cooling water pumps: New technologies can be applied to pumps used in industrial plant cooling systems to improve their energy efficiency, wear resistance, and automated operation management. The application of these technologies across a wide range of industrial sectors helps improve plant performance, efficiency, and safety, enabling companies to achieve higher production targets and remain competitive in the market.

Durante la fase di progettazione di un impianto industriale, è fondamentale redigere una serie di documenti tecnici che delineano in modo dettagliato gli aspetti chiave del progetto. Di seguito, si elencano brevemente il i documenti che verranno redatti:

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

Dopo aver messo in funzione il sistema,  all’azienda verranno proposti due distinti metodi di gestione dei dati generati dal sistema stesso. Le due opzioni principali sono la gestione interna ed esterna:

La funzione dell'analisi dei dati per la diagnostica degli impianti è di fondamentale importanza nel garantire il corretto funzionamento e la sicurezza delle attrezzature industriali. Tramite l'acquisizione e l'elaborazione dei dati emessi dall'impianto, i nostri tecnici specializzati possono accedere a una vasta gamma di informazioni cruciali per la valutazione delle prestazioni e il rilevamento di eventuali anomalie. Alcuni dei parametri monitorati e analizzati includono:

Through an in-depth analysis of the obtained data, it will be possible to develop a detailed assessment of the operational status of industrial 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 proper functioning 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.

Predictive maintenance is a type of preventative maintenance performed after identifying one or more parameters, which are measured and processed using appropriate mathematical models to determine the remaining time before failure. Various methodologies are used for this purpose, such as trichological analysis of lubricants, vibration measurements, thermography, analysis of absorbed currents, detection of abnormal vibrations, and many others. To predict when maintenance will be necessary, it relies on the actual condition of the equipment, rather than on average or expected life statistics. A change in the measurements taken compared to the normal operating state will indicate increasing degradation and, ultimately, allow the timing of failure to be predicted. ACCESS CREDENTIALS: USER: areamanager@motive.it PW: Fermai2023!