DRONES AND ROBOTS: AN ALTERNATIVE TO QUARANTINED PEOPLE. THE CONTRIBUTION THEY MADE IN CHINA TO DEFEAT THE CORONAVIRUS

In questi giorni mi sono chiesto una cosa: Come mai le stesse tecnologie usate in CINA non vengono applicate anche da noi ?

Robot disinfettanti, caschi intelligenti, droni dotati di telecamera termica e software di riconoscimento facciale avanzato sono tutti impiegati nella lotta contro Covid-19 nel cuore dell’epidemia in Cina.

La tecnologia sanitaria viene utilizzata anche per identificare i sintomi del coronavirus, trovare nuovi trattamenti e monitorare la diffusione della malattia.

Robot in soccorso

Diverse aziende cinesi hanno sviluppato tecnologie automatizzate per la somministrazione senza contatto, la disinfezione a spruzzo e l’esecuzione di funzioni diagnostiche di base, al fine di ridurre al minimo il rischio di infezioni incrociate: robot, droni per la conduzione di immagini termiche e per il trasporto di campioni mediti

Big data per controllare la pandemia

Oltre ai robot e ai droni, la Cina ha anche mobilitato il suo sofisticato sistema di sorveglianza per tenere sotto controllo gli individui infetti e far rispettare le quarantene.

Le telecamere di riconoscimento facciale sono comuni in tutta la Cina e ora le aziende stanno aggiornando la loro tecnologia per scansionare le folle alla ricerca di febbre e identificare gli individui che non indossano maschere.

COVID-19: REMOTE WORKING FOR PRODUCTIVE SYSTEM

In this last period of time you can hear him talking about Smart working, remote working, teleworking. Excellent procedures, which we use a lot, for people but who has a production system and machinery to follow what can do ? The biggest problem these days has been the stop of the production departments or the increased risk of people who cannot work from home to follow the production. These problems, in our opinion, could be easily solved thanks to the implementation of Industry 4.0.

The machine tool and plant sector has always distinguished itself in Italy for its quality production offer. Its presence has been fundamental for the success of Italian manufacturing on an international level and for the development of our country’s industry. Today many digital technologies can be applied in order to innovate both internal and collaborative processes:

Sensors and TAGs active in factory processes and industrial products

The “building blocks” of industry 4.0 start from advanced sensor technology that provides real-time information on the status of the production process. The turning point, however, is now in the ability to connect every phase of the factory, networking data and creating new possibilities for control and execution of commands, even remotely, even through an App on your smartphone.

Remote monitoring

Through remote monitoring and control of machinery, creating a continuous flow of information, manufacturers can implement:

  • Reactive maintenancee. remote problem analysis through help desk support;
  • Predictive / proactive maintenance:it is carried out following the identification of one or more parameters that are measured and extrapolated using appropriate mathematical models in order to identify the remaining time before failure;
  • Analysis of product quality and customer behaviour;
  • Safety managementfor example in the processes of tampering and authorized maintenance control.

Augmented reality in maintenance processes

Augmented reality aims to support the identification of the correct working procedures, the tools to be used. The automatic systems allow, once worn and connected, the retrieval of information, diagrams, drawings, codes, useful to improve field activities. Everything happens in full autonomy, thanks to increasingly sophisticated algorithms for the digital recognition of images, able to identify in context and objects on which you are working, and to react accordingly. In the case of remote assistance, a remote specialist uses his expertise in a given field to facilitate the work of the technician. The two interact effectively thanks to the possibility of combining the obsolete verbal communication with some visual interactions. For example, the specialist can impose symbols in the operator’s field of vision to guide the operations to be performed. Thanks to the use of smartglasses and hands-free devices, the technician receives this type of aid while maintaining maximum freedom of action.

A 3D environment to show the technical characteristics of industrial machinery

Industrial machinery can come to life in a unique and memorable 3D environment both as a native app for smartphones and tablets compatible with all devices and on your website. Immersive 3D interaction reinforces your customers’ emotional experience, bringing your content to life online, in social networks or at trade shows, increasing customer engagement and sales.

Publish and spread your product as a native app and on your website to give your customers a unique experience on all their smartphones, tablets and computers. 

From anywhere in the world and H24 your exhibition booth can be accessed with a click and the customer can try out the features of your product.

From product to service – The subscription model

The Industry 4.0 model is not only focused on the recovery of efficiency in production processes, but realizes the most important impact in the evolution from the supply of products to extended services. The impact of digital is changing customer behavior, increasingly shifting consumption patterns from a product logic (single purchase) to a service logic (subscription). Value is shifting from product to service. This is demonstrated by innovative ecosystems such as Apple’s iTunes, Amazon’s Kindle.

Moving towards a service business should by now be a priority for any company of any size, whatever its core business: the evolution of the offer appears to be in the footsteps of a new generation.

Embracing a service business means redirecting sales, production, research, every department of the company: market positioning changes, marketing changes and the way the company proposes itself, production, design and prototyping also change.

The management of Big Data

The processing and analysis of huge amounts of data at ever lower costs (low cost sensor technology and cloud computing) allows better decisions and forecasts on production and consumption and the development of on-demand production systems with the ability to respond to the consumer in a personalized and immediate way. Predictive analytics systems represent the next step in the implementation of business intelligence systems. The latter provide the baseline for the development of predictive models. Such models can be integrated with data from sources not yet present in corporate BI, perhaps through self-service BI tools. Predictive analytics are able to provide competitive advantages to those who adopt them, since they are able to create a tangible reduction in costs and/or an increase in revenues, thanks in particular to a better allocation of resources (marketing, logistics, …) or a faster identification of problems (fraudulent behavior, machine failures, …).

COVID-19: Ventilators Low Cost with Arduino

In questo periodo, in cui le terapie intensive italiane hanno problemi a causa della grave carenza di ventilatori, è nato un progetto per costruirle con Arduino.

L’emergenza sanitaria Covid19 sta mettendo a dura prova il sistema sanitario italiano, soprattutto a causa dei numerosi tagli effettuati nel corso degli anni: personale, strutture, materiali. Sono molte le persone ricoverate in terapia intensiva, molte le persone che hanno bisogno di respiratori artificiali per sopravvivere. Un numero crescente di pazienti in rianimazione ha bisogno di respirazione assistita, ma i respiratori non sono sufficienti. Così c’è chi pensa a un respiratore con Arduino.

Johnny Chung Lee, un ricercatore di Google, ha sviluppato e pubblicato i piani per un ventilatore basato su Arduino su GitHub per consentire a chiunque di progettare il dispositivo da utilizzare nel caso in cui non ci siano più ventilatori disponibili certificati dalla FDA, l’ente statunitense di certificazione delle apparecchiature mediche.

Il progetto si basa sulla conversione di una macchina CPAP (Continuous Positive Pressure Mechanical Ventilation – Ventilazione meccanica a pressione positiva continua) utilizzata nell’apnea del sonno, convertendola in un ventilatore che può aiutare nelle crisi respiratorie. Il creatore sostiene di non essere un medico, esorta a non fidarsi ciecamente di Internet e a consultare personale qualificato per una corretta configurazione dell’apparecchiatura.

Questo rudimentale ventilatore d’emergenza Covid-19 consente una normale frequenza respiratoria e una pressione espiratoria positiva. Fornisce inoltre il 21% di FiO2 atmosferica o se collegato ad un serbatoio 100% O2. Sebbene sia una caratteristica limitata, può essere d’aiuto in altre circostanze in cui non è possibile una migliore assistenza.

Ecco lo schema elettrico del progetto:

Spero che il mondo non arrivi mai alla necessità di costruire un ventilatore a casa, ma se servirà, ecco i link. 

https://github.com/jcl5m1/ventilator

Questa è una guerra e, come in ogni guerra, dobbiamo adattarci per difenderci.

Predictive maintenance is one of the core applications in Industry 4.0

By analyzing vast amounts of data collected from a network of connected sensors installed in production systems, it enables companies to make reliable predictions of how the condition of a machine or system will develop over time and when maintenance is required. However, the conditions of the production systems have a direct influence on the quality of the final product.

Therefore, it is possible to establish a very close link between predictive maintenance and predictive quality. Finally, these new technological scenarios offer opportunities for the development of service models, allowing machine manufacturers to set new standards for managing customer relationships.

Model and infrastructure

The predictive model is at the heart of all predictive maintenance scenarios: the modeling starts with the identification of relevant parameters, such as temperature, pressure, vibration or visual characteristics. The basis is in the historical data. By applying the model to the historical data, the model can be tested to identify its capabilities and the forecast accuracy can be adjusted. Machine Learning technology can support this process, making the model more and more “smart” and increasing its predictive power.

As a prerequisite, the IT infrastructure and networks must be able to handle high volumes of data. Internet of Things and Big Data are the main keywords in this regard. The harmonization of different types of data is of crucial importance to discover hidden correlations between measured values and the propensity to defect. In this context, cloud technology offers some central advantages such as high scalability and global accessibility via the Internet.

The value of JOULEHUB EXPERIENCE

With JOULEHUB EXPERIENCE, JOULEHUB offers a production operations management platform that integrates all shopfloor equipment making data accessible to a wide range of applications. Through JOULEHUB EXPERIENCE, condition monitoring data from the equipment can be easily analyzed for predictive maintenance purposes.

JOULEHUB also supports industrial companies through tailor-made innovation and service design, developing new business models based on the latest technologies and management consulting, to successfully transform companies in line with the paradigms of Industries 4.0.

JOULEHUB can leverage extensive knowledge and experience in all relevant areas, such as Machine Learning, Cloud Computing, Data Science and IoT and Architecture.

Predictive maintenance in practice

The higher the quality requirements for a product, the less tolerable the deviations in production parameters become. A metallurgical production site producing high-precision components for the automotive, pharmaceutical, chemical or medical industries can predict material defects with high accuracy by closely monitoring production conditions and the status of production facilities.

These analyses allow rapid adjustments to ongoing production processes and to suspend subsequent production steps to save energy if necessary. On the other hand, the correlations between machine performance and defect susceptibility become visible. Maintenance can be scheduled accordingly to ensure adherence to previously defined thresholds. This proactive maintenance avoids unplanned and costly downtime and contributes to predictive quality assurance.

The main advantage for the manufacturing industry is superior overall equipment efficiency (OEE):

  • Increased availability due to more efficient maintenance planning;
  • Improved product quality through faster identification and removal of quality deviations;
  • Reduce warranty cases and rejects through improved product quality.

Industry 4.0: Benefits

Production

  • Possibility to detect, visualize and modify in real time the production parameters;
  • Possibility of optimizing production according to different criteria;
  • Efficiency of energy consumption;
  • Automatic control of the use of PPE;

Internal logistics

  • automatic movement of goods and their tracking in the company;
  • efficiency of the processes of management of incoming goods;
  • automated management and warehouses;

Purchasing

  • possibility to reorder in an automated way the goods in exhaustion;
  • possibility to have transactions conditioned to the state of the goods;
  • automatic certification of transactions;

Maintenance

  • transition from preventive to predictive maintenance;
  • Increasing operator safety;
  • reduction in operator training times and costs;
  • reduction of machine downtime;

External logistics

  • automation of the loading/unloading of the warehouse in the management system;
  • automation of unloading scheduling;
  • increase of the transporter/internal warehouse coordination;
  • modelling of the behaviours of the different actors along the supply chain;

Distribution and sale

  • acquisition of purchase or interaction data directly from the store shelf;
  • acquisition of real and real time sales data;
  • automation of invoicing.

Prototyping and testing

With an experienced, creative and multi-disciplinary team of engineers JOULEHUB supports companies in transforming an idea into an engineered concept, using the most advanced numerical codes and design tools.

Deliverables

We optimize product design by FEM (Finite Element Method), CFD (Computational Fluid Dynamics) analyses and virtual testing considering complex physical phenomena and advanced materials in the following fields:

  • structural mechanics (FEA)
  • vibrations and fatigue analysis
  • CFD
  • thermal management
  • impact and crash analyses
  • coupled multi-physics.

We use Life Cycle Thinking instruments to support you in strategic decisions including the assessment of economic and environmental impacts, paving the way for product certifications.

We support you by prototyping the developed design and testing it in a relevant environment, providing:

  • Rapid prototyping with 3D printing machines
  • Design of Experiment (DoE) to optimize test campaign
  • Material testing and prototyping (from laboratory scale to full scale)
  • Process development and validation (from laboratory scale to full scale)
  • Setup of demonstrator combining mechanical and mechatronic skills
  • Prototypes and small series production.

Contact us today to find out more.