Data analytics in aerospace & defense
How is data analytics used in aerospace?
The aerospace industry is the one that has used the resources of data analysis the earliest and most intensively. It is indeed confronted with problems common to all companies but which, because of the vast spectrum of its activities, are considerably multiplied. Only Big Data applied to the aerospace industry can enable this sector to sustain its development. The areas of procurement and maintenance are particularly concerned using data analysis. Both benefit from the ability to interpret data flows to anticipate measures to control expenses. We should also mention the Internet of Things (IoT), whose sensors are eminently useful to the analytics aerospace. However, they are the source of data lakes that only Big Data can contain. LOAMICS-DataLake was developed to meet these challenges of storing large volumes of data securely.
The aerospace industry is constantly challenged to manage a plethora of parts, electrical and electronic equipment, and mechanical systems in real time. They are all more fragile and more expensive than the others.
The large number of units (SKU) to be processed and the extreme handling constraints that must be applied to them are challenges that would be almost impossible to overcome without a data analysis system dedicated to the aerospace market.
Moreover, the simple fact that an exceptionally large number of units must be constantly routed forces the automation of the supply processes. Such a demanding supply chain can only be reasonably operated using IT resources that integrate, among others, those of Big Data. This is exceptionally true for the data analytics aerospace in north America.
As with many other high value-added technology sectors, the aerospace industry can be heavily impacted by unexpected operational downtime. In some cases, especially for insurance or contractual reasons, operational delays or postponements can be more costly than normal operation or outright cancellation of operations. T
o avoid costly maintenance costs, it is better to anticipate them with means to forecast events. One of the tools of Big Data is predictive analysis. It is based on the use of vast data warehouses operated by artificial intelligence algorithms. These can detect trends in the functioning of business processes as well as in the parts and components used by the aerospace defense industry.
This allows data analysis professionals to predict, for example, supply chain disruptions or even future electronic component failures. With such predictive power, aerospace companies can optimize their operations even before they take place.
The LOAMICS-AlgoEngine module has predictive analytics professional services that transform defense aerospace market operations into truly proactive business process sets.
The Internet of Things is a real boon for big data aerospace. It is now possible to measure in real time all the activities of an organization. This can be anything from the use of soap in a toilet to the behavior of a digital milling cutter used to machine the blades of a turbine. All the data produced is used to better manage activities and projects and to feed the data lakes exploited by Big Data.
Moreover, without it, it would be difficult to take full advantage of the Internet of Things. Indeed, the information produced by the IoT is plethoric and far exceeds the capabilities of the best human specialists. Without a fine analysis in real time of the data from the sensors of the Internet of Things, the benefits provided by the latter would be very meager.
As the IoT will become the measurement tool of choice for the defense aerospace industry, only real-time data analysis will allow pro to benefit from the avalanche of information to be processed.
How is data analytics used in defense?
The defense sector has extremely specific use cases for data analysis. Of course, the supply of weapons and ammunition, the management of the deployment of equipment in the field or the management of combatants on the ground all benefit from the advantages of Big Data. For these applications, there is little difference with those that are more intended for civilian operations. On the other hand, the defense sector benefits from the real-time processing capabilities of large volumes of information in Big Data.
Whether it is for drones, for combatants in the field, for cyber security or even for panoramic perception of the battlefield, data analysis provides accurate and fast insights into critical situations. With LOAMICS – DataCollect the defense industry can benefit from the real-time resources of a data acquisition tool designed for Big Data.
- Drones data flood defense networks
- Cybersecurity systems thrive on global Big Data
- The soldier of the future, a new source of field information
- A 360° view of the battlefield
Drones data flood defense networks
It is no secret that drones, whether armed or simply observation tools, have become an essential element in the successful projection of military forces. Their number is the source of so much information that can give a decisive advantage both in terms of intelligence and on the battlefield.
The greater the volume of this information and the faster the information is captured, the more accurate a situation can be assessed. Data analytics can quickly tip a balance of power when used on an ongoing basis in well-identified situations.
Nevertheless, defense networks can quickly become inundated with exceptionally large data streams. Data analytics is capable of not only managing the data but also sorting it to avoid misinterpretation, such as false positives, by command teams.
The modular LOAMICS-Suite platform enables real-time support of all types of information needed by the defense market. From data analytics defense collection to secure storage and processing for decision making, the analytics aerospace defense can rely on a complete LOAMICS pipeline for Big Data.
Cybersecurity systems thrive on global Big Data
Cyber security for defense systems is the new challenge for command groups. With more and more embedded computing in attack and defense systems, weapons are more vulnerable to cyber-attacks.
Artificial intelligence, and in particular machine learning, is increasingly being used to detect and now combat attempts to intrude and infect aircraft weapons systems. These new intelligent algorithms are based on learning and lessons learned from previous attacks.
Only Big Data, its methods, and tools, are able to effectively exploit security data lakes. This intelligent cybersecurity shield must be permanently deployable both in the field and in the headquarters.
The system itself must be attack-proof and soon even be able to counter-attack to harden its own positions.
The soldier of the future, a new source of field information
The miniaturization of the sensors with which the soldier of the future will be equipped allows him to be equipped with sensors and microcomputers that will help him better perceive his environment.
Here again, analytics defense has its role to play. Whether it is for the effectiveness of fire or the real-time measurement of his physical condition, the soldier in the field can count on an embedded IoT-type architecture that multiplies his capabilities.
These new cybernetic perception devices also provide his command with precise information on his operational condition and deployment. Important decisions can then be made by both the soldier and the staff to respond to any critical situation.
Again, data analytics is the only IT technology that enables this two-way communication to support rapid decision making and efficient target processing.
A 360° view of the battlefield
By using the capabilities of big data defense in a principled way, the defense aerospace industry can achieve a long-standing goal of having a 360-degree view of the battlefield.
This is also true for all defense activities that are not necessarily all related to combat. On the battlefield, the global view provided by data analysis is likely to minimize the effects of the fog of war, particularly for aerospace defense.
A global view allows better and faster decision making. In the event of a conflict, these two factors give the warring parties a distinct advantage.
By using data analysis at every level of defense activity, an entire sector can hope to gain a global and real-time awareness of its capabilities to better project them.