Maintenance in Operational Condition

OPPSCIENCE’s neuradata platform integrates pioneering IAM (Intelligence Analysis Management) technologies. It converts data from different sources and formats into a single access point to unified knowledge. It optimises the management of equipment’s usage and installations and predicts the maintenance process through machine learning. Industrial operators can secure MOC collaboration through neuradata’s IAM, to increase the quality of the project while reducing unnecessary costs.

Maintainance in Operational Condition (MOC) today

Industrial operators face multiple challenges to optimise the usage of their equipment in complex infrastructures.
In order to avoid an interruption of service or deterioration in quality, industrial operators must manually regroup information from the various existing platforms. This brings the loss of hidden information within unstructured data, and wastes time and energy while increasing the risk of vulnerabilities.

What is crucial

The role of MOC today has surpassed economic and security responsibilities, it also engages the company in social responsibilities. It is to be easily blamed if threats and risks occur due to unspotted vulnerabilities.

Multiple applications are used to manage formal processes based on known repositories (bases of references and skills). They meet specific objectives (EDM, CMMS, etc.) and are most often isolated from each other. Operators are unaware of the myriad of undisclosed information that remains hidden in comments, texts, reports, reviews, emails, etc.

Oppscience solutions

Total aknowledgement of existing information through one point access

The neuradata platform developed by OPPSCIENCE provides IAM technology that not only includes the information obtained during the construction, operation, and maintenance processes of the infrastructures and equipment (information most often not mentioned), but also integrates information exchanged through the tools of messaging or communication, operational information (suppliers, subcontractors, operators, developers) and regulatory information (urban planning constraints, regulatory data) external to the company, which is only very rarely taken into account.

Find out how we do it

The neuradata platform is directly accessible through APIs on business applications – this means that within the framework of a support application, operators have direct access to the resources of knowledge via their usual tools.
It opens multiple possibilities to maximise efficiency. For instance, neuradata can accelerate the diagnosis of incidents and suggest the best solution within the determined context by reviewing the history of similar tickets via the search and suggestion features.

Find out how we do it

Neuradata leverages acquired knowledge to implement predictive maintenance processes with machine learning.
The ceaseless analysis process allows the system to be continuously updated, increasing the company’s knowledge capital. This maximises the efficiency of the MOC processes and thus optimises the continuity of the service.

Find out how we do it

Neuradata offers an efficient approach for MOC to secure collaborations between stakeholders to:

  • Control of the evolution of infrastructures and systems
  • Optimise the management of anomalies and associated risks
  • Optimise the usage of equipment and installations
  • Schedule interventions in good timing
  • Predict and control maintenance costs

Find out how we do it

Neuradata can be implemented with accessible information within a few weeks, enabling users to have a single access point to all relevant documentary information in MOC processes. The benefits of MOC for your projects and the operation of your facilities are immediately noticeable

Find out how we do it

What our customers say

In 2017, VINCI Construction needed a search engine capable of searching through various data sources. We naturally chose Bee4sense to capitalize on the tool we had used on the South Europe Atlantic high-speed rail line project.

In our view, Bee4sense stands out from competing solutions thanks to its French roots, which guarantee us durable support and technical expertise. Throughout the years, we have been satisfied with the quality of service provided by OPPSCIENCE, in terms of both expertise and responsiveness. When asked for a change, OPPSCIENCE has always met the needs expressed by our business teams.

In addition, feedback on usage has been positive. Bee4sense has brought benefits in terms of performance, attachment indexing and multilingual data search; users appreciate the search efficiency, the relevance of results and the low response time.

Gwenael Louandre & Amine Talei - VINCI Construction Build Team Manager & Project Manager

In 2015, when we replaced the historical intranet search engine, we chose OPPSCIENCE’s engine because of its performance, relevance and superior functional capabilities.

Today, we are highly satisfied with the Bee4sense search engine and we know that many other features are available that could help to go further.

Over all the years of collaboration, we have appreciated the service provided by OPPSCIENCE, their in-depth understanding of our needs, as well as their strong reactivity, including through changing contexts.

Julien Tissier - RATP RATP Communication Department

OPPSCIENCE technologies allow all subscribers of our platform to perform high-quality research on specialized press and web articles. Access to this information is made possible thanks to semantic enrichment of the data, enabling the identification of links between the actors and the integration of an API graph, allowing the visualisation and interaction of these links.
We have been using Bee4sense search engines since 2004. The cooperation has always been perfect with the OPPSCIENCE teams who consistently meet our needs and requirements despite the technological evolutions.

BNP PARIBAS Communications & IT of the economic research department

Peraton uses OPPSCIENCE’s Bee4sense platform to index and search educational resources for educators and students. The support and customer service provided by OPPSCIENCE over the years is outstanding.

Kelly Waite - Peraton Program Manager at Peraton

After having efficiently replaced our old TAJ (Judicial Antecedent Treatment) search system, we decided to make use of Bee4sense platform’s latest features to meet our increasingly complex operational needs. The Bee4sense platform allows us to not only search through information, but also to generate insights from operational data thanks to its semantic engine and its ability to handle relationship graphs. The range of possibilities offered by this solution has really widened our perspectives.

General Touak - ST(SI)² Deputy Director of Information Systems at ST(SI)²

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