PREDICTIVE MAINTENANCE

& MACHINE LEARNING

Our job is to train computers to learn from data and improve with experience, rather than being specifically programmed to do so.

AI & INDUSTRY 5.0

  • The integration of Artificial Intelligence into industrial machinery offers a wide range of capabilities aimed at optimizing production processes and reducing production costs. Among the services offered through AI, we can find:
  • Data analysis for plant diagnostics: A Specialist uses AI to analyze huge amounts of data from plant sensors to detect anomalies, predict failures, and suggest preventative maintenance interventions.
  • Predictive maintenance reports: Io Specialista generates detailed reports based on data collected using AI, providing useful information for planning predictive maintenance interventions and reducing machine downtime.
  • Process and consumption management and optimization: Io Specialista, supported by AI, analyzes production processes and energy consumption to identify areas for improvement and suggest corrective actions to optimize efficiency and reduce operating costs.
  • Technical and administrative support for accessing tax breaks: The Specialist provides technical and administrative support to facilitate access to tax breaks and government incentives available to companies investing in innovative and sustainable technologies. In summary, Artificial Intelligence integrated into industrial machinery offers significant potential to improve the efficiency, productivity, and sustainability of operations, enabling companies to remain competitive in an increasingly dynamic and global market.
  • Optimized Fields

  • 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.
  • During the design phase of an industrial plant, it is essential to draft a series of technical documents that outline the key aspects of the project in detail. Below is a brief list of the documents that will be drafted: 1. Machinery and Plant Layout:
  • This document provides a detailed and accurate representation of the spatial arrangement of the machines and plants within the production area.
  • It includes a floor plan of the entire plant, indicating the location of the various production units, assembly lines, workstations, and spaces dedicated to warehouses and storage areas.
  • In addition to the physical layout, the layout also considers ergonomic aspects, workplace safety, material and personnel flows, space optimization, and accessibility for maintenance and repairs. 2. Technical Specifications:
  • The technical specifications define in detail the requirements and performance of the machines, plants, and equipment used in the plant.
  • This document includes a description of the technical characteristics required for each component, such as power, production capacity, dimensions, construction materials, and applicable safety regulations.
  • Technical specifications serve as the basis for acquiring and evaluating supplier proposals, ensuring that all elements of the plant meet quality standards and the specific needs of the project. 3. Electromechanical Plant Design:
  • This document details the electromechanical design of the plant, including all systems and components that contribute to the operation of the plant.
  • It includes the design of electrical power systems, distribution panels, automation and control systems, safety devices, material handling systems (such as conveyors, industrial robots, and cranes), cooling and ventilation systems, as well as supporting infrastructure.
  • This document provides technical drawings, schematics, and diagrams that illustrate the layout, operation, and interconnection of all electrical, mechanical, and hydraulic components of the plant. 4. Intranet and Extranet Network Interface Design:
  • This document describes the design of the network infrastructure required to support internal and external communications within the plant.
  • Includes the design of local area networks (LANs), structured cabling systems, Internet connections, and virtual private networks (VPNs) for remote access.
  • Also considers network security requirements, such as protecting sensitive data, authorizing access, and implementing firewalls and intrusion detection systems.
  • This document provides detailed guidance for implementing and configuring communications networks, ensuring reliable connectivity and secure data management inside and outside the plant. In short, these documents are an essential part of the industrial plant design process, providing detailed and comprehensive guidance for creating an efficient, safe, and functional plant.
  • Procedures and Personnel

  • The equipment installation process involves several key personnel, each of whom plays a fundamental role in ensuring the correct functioning of the system. These personnel can be selected internally or externally and, after adequate training, will be able to proceed with the application of the product to the selected machinery. The main personnel required for the operations are: ELECTRICAL:
  • The electrical technician plays a fundamental role in the installation of the system's electrical elements. This includes the correct connection of the PLC (Programmable Logic Controller) safety sensors to the system's electrical equipment.
  • Their work is not limited to simple wiring, but also involves verifying the electrical compatibility between the various components and compliance with applicable electrical safety standards.
  • Furthermore, the electrical technician is responsible for fine-tuning the electrical safety systems, thoroughly testing the operation of the sensors and actuators to ensure a reliable response in the event of an emergency. MECHANICAL
  • The mechanic is responsible for the physical installation of the system's mechanical elements. This includes securing the mechanical equipment necessary for the system's correct operation.
  • This position is responsible for precision and accuracy during the installation of mechanical components, ensuring that all parts are positioned and secured correctly to avoid malfunctions or damage during operation.
  • The mechanic ensures that each component is integrated into the system in a manner consistent with the overall design of the plant, thus contributing to the safety and efficiency of operations. INFORMATION TECHNICIAN
  • The information technology specialist is responsible for completing the digital integration of the plant with the company network. This includes configuring network devices such as switches, routers, and firewalls to enable communication between industrial devices and company IT systems.
  • This position is responsible for configuring network security settings, ensuring that access to data and devices is limited and protected from external threats such as hacking or malware.
  • Additionally, the information technology specialist collaborates with specialized personnel to ensure the correct configuration and interoperability of industrial automation systems with company management systems (such as ERP) for integrated and efficient management of operations. In summary, each key figure involved in the installation process plays a unique and complementary role in ensuring the success of the industrial plant integration, combining specialized skills and knowledge to ensure an optimal outcome.
  • Data and Application Management

  • Once the system is operational, the company 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 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 PLANT DIAGNOSTICS: The technicians perform detailed analysis of the data produced by the system to assess the health of industrial plants. This analysis allows for the identification of any anomalies, impending failures, or inefficiencies in production processes, allowing for timely maintenance or corrections.
  • PREDICTIVE MAINTENANCE REPORT DRAFTING: Specialists draft detailed reports based on the analysis of collected data, providing valuable insights for the implementation of predictive maintenance strategies. This type of maintenance allows for interventions to be planned in advance, reducing machine downtime and optimizing company resources.
  • PROCESS AND CONSUMPTION ADMINISTRATION AND OPTIMIZATION: In the context of process and consumption administration 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 and reducing energy consumption. Below are some of the solutions that can be proposed: > Production Cycle Requalification:
  • Based on the data collected on production cycle performance, it is possible to identify any inefficiencies or downtime in production.
  • Through in-depth analysis, solutions can be proposed to optimize production flow, reduce production times and increase the overall productivity of the plant. > Remodulation of Set-Point Parameters:
  • Data analysis allows you to evaluate the performance of industrial processes and adjust the set-point parameters optimally.
  • By modifying operating parameters based on real-world conditions, it is possible to improve process efficiency and reduce energy consumption without compromising product quality. > Replacement of Systems with More Efficient Ones:
  • By analyzing data on the performance of plants and equipment, it is possible to evaluate the opportunity to replace obsolete systems with more efficient and advanced ones.
  • This may include replacing less efficient machinery with newer, technologically advanced models capable of ensuring better performance and reduced consumption. > Feasibility Study (Investment Plan):
  • Based on the data collected and performance analysis, it is possible to develop a feasibility study 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 company's efficiency and competitiveness.
  • 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 your business and maximize available tax benefits. Through a rigorous analysis of tax regulations and a deep understanding of the regulatory context, these services include: FINANCIAL EFFICIENCY > Individual Consulting The Individual Consulting service supports businesses in obtaining a specific grant/call for proposals. During the Individual Consulting session, we will guide you through the entire process of obtaining the benefit, from document collection, to application submission, and up to the final reporting that will allow you to obtain the requested benefit. > Ongoing Consulting The Ongoing Consulting service is designed for all those businesses interested in developing a medium- to long-term investment plan. Ongoing Consulting will allow you to select the most suitable incentives for your business and have the support of a dedicated Consultant throughout the duration of the support. Continuous Vendor Consulting provides a win-win approach: we are committed to helping you achieve a minimum objective thanks to non-repayable grants and/or tax breaks, calls for proposals and structured funds, and subsidized financing. OPERATIONAL EFFICIENCY 5.0 > Diagnosis 5.0 Diagnosis 5.0 is the mapping of company processes that allows you to evaluate the degree of maturity of company processes, identify operational inefficiencies, and find solutions to optimize processes, defining the costs and timescales required for implementation. > Operational Support Operational Support 5.0 is the solution that allows your company to have a team of professionals to guide the operational efficiency path you have chosen to undertake. Our areas of intervention include: production department, logistics, and warehouse, etc. > Management Control Management Control is the activity that allows you to monitor financial resources and production factors, detect any cost variances, and introduce a new budgeting methodology. > AI Implementation The implementation of Artificial Intelligence to reduce energy consumption and expenses represents an innovative corporate strategy aimed at optimizing operational efficiency and promoting environmental sustainability. From a personnel perspective, this initiative is crucial as it requires careful planning and adequate management of organizational change. In particular, it is essential to actively engage staff through targeted training and awareness programs to foster a corporate culture focused on sustainability and the adoption of new technologies. At the same time, it is essential to ensure effective internal communication, providing clear guidelines and ongoing support to encourage the adoption and integration of Artificial Intelligence into daily operations. Through a holistic and participatory approach, the company can maximize employee engagement and ensure the success of the Artificial Intelligence implementation in pursuing the objectives of reducing energy consumption and expenses. ENERGY EFFICIENCY > Energy Audit The Energy Audit is a snapshot of a company's energy consumption. It is the first necessary step in launching an energy efficiency plan. Through Energy Audits, it is possible to acquire information regarding a company's energy consumption, understanding which systems consume the most and when. The goal is to obtain a complete picture of consumption trends before starting an energy efficiency project. > Energy Management Energy Management is the analysis, monitoring, and optimization of a company's energy resources for proper consumption management and the achievement of economic and environmental benefits. Energy Management consists of developing an energy efficiency plan aimed at the rational and informed management of energy sources.
  • Data analysis for system diagnostics

  • Data analysis for plant diagnostics is crucial to ensuring the proper operation and safety of industrial equipment. By acquiring and processing plant data, our specialized technicians can access a wide range of crucial information for evaluating performance and detecting any anomalies. Some of the parameters monitored and analyzed include:
  • Energy Consumption: Our technicians can closely monitor plant energy consumption by analyzing data related to electricity, gas, and other fuel consumption. This allows them to identify potential inefficiencies and implement strategies to reduce energy costs and promote environmental sustainability.
  • Machine Stress (temperatures, vibrations, etc.): The collected data allows us to monitor the health of machines and equipment, including parameters such as operating temperatures, vibrations, and other operating conditions. Analyzing this data allows us to detect signs of overload, overheating, or excessive wear, which could indicate potential impending failures or the need for preventative maintenance.
  • Utilization Coefficient: The utilization coefficient provides information on the frequency and intensity of system use. This parameter is crucial for evaluating operational efficiency and resource optimization, allowing you to identify any under- or over-utilization of the system and adopt the necessary corrective measures.
  • Reported Anomalies: Data analysis allows you to identify and document any anomalies or warnings reported by the system. These anomalies may concern malfunctions, system errors, or other critical situations that require careful attention and timely intervention by technicians. Once this information has been extracted and processed, various opportunities for its strategic use open up, such as:
  • Identification of machine operating set-point values: The set-point values represent the optimal operating parameters of the system. Using the collected data, technicians can identify and optimize these values to maximize efficiency and reduce energy consumption.
  • Analysis and intervention on any anomalies found: Detected anomalies can be reported and carefully analyzed to determine their cause and extent. If necessary, technicians can intervene directly on-site to inspect the facilities and identify appropriate solutions.
  • Reporting: Anomalies can be reported for further analysis or intervention.
  • On-site intervention to inspect the facilities: This type of intervention can occur for various purposes:
  • Data collection survey: To obtain further information or confirm observations collected by sensors.
  • Troubleshooting by maintenance personnel: If necessary, technicians can collaborate with maintenance personnel to resolve identified issues, ensuring optimal system operation. Ultimately, data analysis for system diagnostics allows our technicians to monitor system performance, identify potential critical issues, and intervene promptly to ensure efficient and reliable operation.
  • Predictive Maintenance Report Drafting

  • 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.
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    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!