Data analysis for failure prediction in the production process
Monitoring the production process and identifying the anomalies
Utilizing the artificial intelligence methods in predictive analytics
Data transfer, transformation, adjustment and processing in real time
Developing the complete infrastructure suitable for pre-processing the data in the Data Lake
Integrating data and data sources into the Data Lake enabling their further use
Designing sensors, creating the concept and implementing the complex networks suitable for IoT
Visualizing processed data in a well-arranged summary form for all levels of control
IMPLEMENTING THE COMPLEX SOLUTION
Fast and comprehensive implementation
The company PredictiveDataScience Ltd. also supplies a solution for monitoring the state of production facilities and the online identification of a possible failures in the production process: PredictiveDataScience Artificial Intelligence Platform (PDSAIP).
All in one place
PDSAIP provides analytics tailored according to specific client requirements. This objective is achieved through:
PDSAIP used the most advanced analytical tools and includes sophisticated solutions to processing large amounts of data, including identification of new data sources that you can bring new opportunities in your business.
Suitable for micro,
small, medium and large companies
Each industrial sector is unique in the way it operates, but the need for timely and accurate decision-making is a fundamental principle of policies in every company. Whether you are a small business with few employees or a large multinational corporation, PDSAIP helps businesses of all sizes to make timely and correct decisions based on the fast and modern data architecture.
How does it work?
PDSAIP offers a comprehensive solution aimed at businesses of today. Scalability of the provided solution enables the flexibility of the platform deployment depending on the specific requirements of the particular company. Therefore, it is possible to deploy either only certain features or the whole solution PDSAIP platform depending on the customer's demands.
More intelligent decision-making
Artificial intelligence for pumps in the paint shop of a car manufacturer saving ca 30% of maintenance costs – AIpumps
The paint shop pump monitoring project was implemented in a multinational car production company. As a solution, introduction of real-time monitoring of the condition and performance of pumps, detection of gradual quality degradation of the painting process, detection of a gradual increase in the oscillation of painting parameters and prediction of outages in the production process was proposed and implemented. Saving ca 30% of maintenance costs as well as the reduction of personnel necessary for the pump maintenance have been obtained. The customer also received an intuitive graphical overview of the performance and condition of all pumps, allowing him to monitor the condition of each pump individually. The whole solution is based on the AIpump algorithm, implemented On Premise. AIpump can be deployed as a service on various types of pumps from different manufacturers, which can enable predictive maintenance worldwide as either an On Premise solution or a Cloud solution.
Increasing the quality of the painted surface
Paint quality is the first visual element in selecting and purchasing a product. The quality of paint is affected by many factors such as temperature, humidity, applied media, inclination of the paint surface etc. To solve this multiparametric problem we also used the methods and techniques of Data Mining.
Project for predicting the production failures and monitoring the car body shop state
Predictive maintenance is not new, in some form it has been available for many years. However, prior to the particular service, it is necessary to obtain detailed information on the process in order to identify the changes preceding the upcoming failure.
Reducing the number of failures in a robotic screwing head
The project focused on reducing the amount of failures and errors in the process of car body srewing and included the predictive maintenance of the screwing head.
Our visualization brings all reports in one page, presenting them in a clear and transparent form adapted to the needs of your company.
We cooperate with several well-known institutions
Our partner company, which has been on the market since 1991. Currently, Soitron Ltd. is a leader in introducing new technologies and innovative solutions in the field of infrastructure, unified communications, contact centers, security, network services, applications, IT services and IT outsourcing.
Slovak University of Technology in Bratislava provides our company with valuable expert advice, it brings new trends and procedures for Industry 4.0 as well as STU educates our new colleagues who are equipped with the knowledge directly applicable to the addressed problem areas.
EIT Manufacturing company picked us for international training programme "Discover Vienna: Manufacturing Edition", which took place in November 2021. The company continues to provide us valuable advice concerning expansion to the Austrian market.
Our company holds the TISAX (Trusted Information Security Assessment Exchange) certificate, which is recognized in the automotive industry as the international standard for information security ISO / IEC 27001. As part of the TISAX evaluation process, our company has successfully passed level 2 in two areas: Data Protection according to to EU-GDPR Art. 28 ("Processor") and Information with High Protection Needs. By meeting all the criteria for this certificate, our company has created and maintains a supplier information security system, which has been verified by DQS Slovakia as the official certification center for the ENX association issuing certificates / TISAX labels.