advanticsys

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07/10/2022

We are facing the challenge of operating a sensorised shipyard, with the aim of implementing predictive maintenance in main facilities such as ASTANDER cranes. The collection of raw data, together with its processing, is the task that must be addressed by our platform.

Our partner ASTANDER will benefit from cost reduction while maintaining customer satisfaction, reducing downtime, and increasing quality. 

Broadly speaking, predictive maintenance consists of the analysis of existing data that, using Artificial Intelligence techniques, allows us to know which parts of the observed system are likely to need maintenance before a failure occurs.

This is a breakthrough over reactive maintenance, avoiding downtime costs, which adds to reaction time when it occurs, and preventive maintenance, avoiding changing items that still remain usable. It also allows automating alerts and corrective actions, avoiding the human cost in terms of surveillance and stress.

Based on the above, advanticsys establishes two lines of action  

  • Crane sensorization in collaboration with ASTANDER, making on-site  configurations, advising, and verifying the sending of information.   
  • The collection and provision of data for analysis, configuring the data collection  platform -deployed in the cloud- and  supervising the process using the platform’s tools.   

For this, a system has been developed that, using standards such as MQTT -to send and request data- and JSON -to structure the information returned- allows the information to be stored and transformed. This data is then securely shared through a REST API, another standard that allows data to be collected by defining what we want to retrieve via an Internet address URL). One measure of its simplicity is that we can access the results with a normal browser.  

Therefore, the sensorized crane data that supports ASTANDER’s needs are now being successfully collected, transformed, validated, and delivered ubiquitously and securely to stakeholders.

The objectives of this Industry 4.0 application are twofold:   

  • Improve productivity, avoid downtime, and reduce maintenance costs  associated with machinery.   
  • Increase safety, through intelligent monitoring to predict potentially  damaging failures for workers in real time.   

In this way, we align and improve ASTANDER standards, focusing on quality and safety while actively maintaining and promoting customer satisfaction.  

Advanticsys continues its growth by planning the incorporation of new protocols widely used in Industry 4.0 -such as OPC UA-, the integration with new systems and the improvement of products. The exploitation of information is another objective on our path towards the implementation of Industry 4.0, the circular economy and associated processes. All these components will be available for our Concordia® Industrial IoT Cloud Platform.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme KYKLOS 4.0 under grant agreement No 872570. More details can be found at KYKLOS 4.0 website.


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31/05/2022

Real-time monitoring of one of Greece’s leading chicken production plants, the Ioannina Agricultural Poultry Cooperative PINDOS cooperative, offers a challenge for the extraction and processing capabilities of our components.

Recycling in Industry 4.0 is one of the fundamental pillars. Through extensive sensorisation of PINDOS plants and advanticsys’ data management, two branches of Industry 4.0 are to be supported: optimisation of utilisation and value recovery. Predictive maintenance avoids economic losses due to downtime, and the extraction of knowledge from data allows processes to be optimised, maximising the use of resources and reducing material waste.

The data generation capacities in modern industry, such as PINDOS, are very large and heterogeneous. This makes it necessary to create a suitable hardware support for each case (temperature, humidity, volumes per unit of time) in the different points of the factory, as well as a system that is capable of encompassing the data generated to monitor and share the results in a homogeneous and efficient way.

advanticsys uses its experience in the development, installation, integration and operation of hardware sensors to plan, collect, process and store the data produced. 

In this way, an MQTT system has been chosen for connectivity, a protocol already commonly used within the Concordia platform. MQTT is a de facto standard for data transmission in the Internet of Things, with low latency and high efficiency. It consists of the centralisation of messages from devices/sensors in an MQTT broker, or intermediate server, which has a series of topics to subscribe to, in order to retrieve the data. In this way, clients or data exploitation systems can connect to the broker, and request information on those topics in which they are interested. It is widely spread and can be exploited by means of the usual languages  such as Python, Java, etc. Security is also contemplated/covered, allowing encryption of communications and authentication of users connecting to the broker.

PINDOS currently has 103 monitored measurements, divided into 9 different data sources (systems), ranging from measurement of consumed and wastewater to conveyor belts and information from other equipment, such as automation panels. These data will be used by other IT components for analysis in the form of carbon footprint and predictive maintenance analysis. An API has been made available to access the data, providing filtering, paging and sensor selection capabilities, as well as a web interface to interact with the data in a more user-friendly way.

Advanticsys continues its growth by planning the incorporation of new protocols widely used in Industry 4.0 -such as OPC UA-, the integration with new systems and the improvement of products. The exploitation of information is another objective on our path towards the implementation of Industry 4.0, the circular economy and associated processes. All these components will be available for our Concordia® Industrial IoT Cloud Platform.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme KYKLOS 4.0 under grant agreement No 872570. More details can be found at KYKLOS 4.0 website.


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30/11/2021

advanticsys successfully commissioned a real-time wireless mesh monitoring solution for string combiner boxes at a 75MWp plant in Khanak Harayana, India for Sterling & Wilson as end-customer.

This project is part of our portfolio in India where we are currently monitoring more than 600 MW since 2019 when a strategic alliance with local partners Alltronix was established.

Our innovative approach relies on the robustness of our DM-108 bridge installed in each of the string monitoring boxes at site, wirelessly connected to several master stations where all data is logged and integrated into the plant SCADA seamlessly.

Compared to other technologies, DM-108 has a very strong noise rejection (quite important in solar plants where electromagnetic environment changes through time), co-exists with other wireless networks without any interference problem and near real-time data transmission (tests have ensured polling periods below 5 secs for the whole plant).

More information about this and the rest of our solar plants monitoring projects can be found in our project dedicated area


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23/11/2021

FitDrive is a European research project funded by the Horizon 2020 programme that aims to identify and prevent driving stress states for professional drivers (and consequently driving fitness) with artificial intelligence and machine learning techniques.

The project is participated by 10 partners from 7 different countries and is coordinated by the “Instituto Tecnologico de Castilla y Leon” (Spain). advanticsys is one of the partners and has the specific tasks of collecting data from both the vehicle and the driver and provide cloud platform infrastructure to monitor and analyze those data in real time.

Currently, the pre-selection of volunteers (professional drivers) is under way, who will start with tests first with a driving simulator and then on the road, in order to collect data to be elaborated by an Artificial Intelligence (AI) system to define, after a certain driving time, his ‘ordinary’ behavioural profile (in the sense of his usual daily behaviour while driving).

Once the ‘ordinary’ profile of a specific driver has been defined, the AI system installed in the vehicle is able to detect abnormal behaviour (outside the ‘ordinary’ profile) and associate them with the most probable causes such as fatigue, excess alcohol or drugs, or other cognitive disorders: these abnormal variations can be associated with early situations of sickness that are not yet apparent to the subject but are about to manifest themselves.

The noticeable advantages of the application of this system, once tested and developed, are obvious: it provides continuous screening of the driver’s psychophysical capabilities, alerting him or her to potential malaise on the way, and at the same time allows roadside patrol officers to interrogate the vehicle wirelessly and thus be able to focus on those vehicles that have shown recent abnormal behaviour. It should be remembered that roadside inspections for commercial vehicles, and in particular heavy vehicles, involve an appropriate amount of space and a relatively long time, which can be considerably reduced thanks to the system that the FitDrive project is developing, making inspections more efficient (because vehicles with potential problems are detected immediately) and reducing the time that vehicles remain stationary (those without potential problems undergo a much faster inspection)

Thanks to the participation in this project, advanticsys continues its growth by creating new geolocation-based services such as fleet management, geofencing and many more under the framework of our Concordia® Industrial IoT Cloud Platform.


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25/10/2021

advanticsys, one of the international leaders in the supply of wireless monitoring solutions for string combiner boxes, presented at Intersolar South America – Latin America’s largest exhibition and conference for the solar industry.

During the Expo. advanticsys introduced its joint cooperation with string monitoring units manufacturer Kernel Sistemi who made possible the development of our IEC 61724-1-2021 Class A complaint wireless monitoring systems with a very strong noise rejection (quite important in solar plants where electromagnetic environment changes through time), co-exists with other wireless networks without any interference problem (such as solar trackers) and near real-time data transmission (tests have ensured polling periods below 5 secs for the whole plant).

More information about our more than 700 MW wirelessly monitored since 2019 in countries such as Spain, India, Turkey or Australia can be found in our project dedicated area

Intersolar South Amrica 2021
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