Thales : un atelier d’excellence pour le Rafale

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  3 janvier 2019 | International, Aérospatial, Naval, Terrestre, C4ISR, Sécurité

  Contract Awards by US Department of Defense - January 2, 2019

  NAVY Risk Mitigation Consulting Inc.,* Destin, Florida, is awarded a maximum amount $95,000,000 indefinite-delivery/indefinite-quantity contract for mission assurance assessments of installation/facilities infrastructure and facility-related control systems for the Department of the Navy . The work includes, but is not limited to the collection and evaluation of data concerning the criticality of facilities, utilities, industrial control systems, and supporting infrastructure based on mission impacts, probable threats and hazards, and degrees of vulnerability to determine the overall risk posture of the asset. Work will be performed at various Navy and Marine Corps installations at various locations within the Naval Facilities Engineering Command, Atlantic area of responsibility, both inside and outside the continentalU.S., including, but not limited to, California (24.6 percent); Virginia (13.0 percent); Florida (10.1 percent); Maryland (7.2 percent); Washington (5.8 percent); Hawaii (4.3 percent); Texas (4.3 percent); South Carolina (4.3 percent); Washington, District of Columbia (2.9 percent); North Carolina (2.9 percent); Mississippi (2.9 percent); Georgia (2.9 percent); Tennessee (1.5 percent); Rhode Island (1.5 percent); Pennsylvania (1.5 percent); New York (1.5 percent); New Jersey (1.5 percent); Louisiana (1.5 percent); Indiana (1.5 percent); Illinois (1.5 percent); Connecticut (1.4 percent); and Arizona (1.4 percent). The term of the contract is not to exceed 60 months with an expected completion date of January 1, 2024. Fiscal 2019 operations and maintenance (Navy) funds in the amount of $10,000 are obligated on this award, and will expire at the end of the current fiscal year. Future task orders will be primarily funded by operations and maintenance (Navy and Marine Corps). This contract was competitively procured via the Navy Electronic Commerce Online website and Federal Business Opportunities website, with six proposals received. The Naval Facilities Engineering Command, Atlantic, Norfolk, Virginia, is the contracting activity (N62470-19-D-2002). Raytheon Co., El Segundo, California, was awarded $81,224,627 for modification P00007 to a previously awarded fixed-price-incentive=-firm-target contract (N00019-17-C-0042). This modification provides for the procurement of 228 configuration components required for completion of Configuration D Retrofit Component engineering change proposals for the F/A-18E/F and EA-18G aircraft for the Navy and the government of Australia. Work will be performed in Forest, Mississippi (53 percent); Andover, Massachusetts (36 percent); and El Segundo, California (11 percent), and is expected to be completed in February 2022. Fiscal 2019 aircraft procurement (Navy); and Foreign Military Sales (FMS) funds in the amount of $81,224,627 will be obligated at time of award. No funds will expire at the end of the current fiscal year. This modification combines purchases for the Navy ($80,692,484; 99 percent) and the government of Australia ($532,143; 1 percent) under the FMS program. The Naval Air Systems Command, Patuxent River, Maryland, is the contracting activity. Lockheed Martin, Rotary and Mission Systems, Moorestown, New Jersey, is awarded a $28,882,337 cost-plus-incentive-fee modification to previously awarded contract N00024-16-C-5102 for AEGIS Baseline 9 Integration and Delivery, TI-08 CG Upgrade, AEGIS Baseline 9 Capability Development, Capability Improvements, Baseline 9 Sea Based Non-Cooperative Target Recognition Development and Radar Engineering. Work will be performed in Moorestown, New Jersey, and is expected to be complete by July 2019. Fiscal 2019 research, development, test and evaluation (Navy); fiscal 2013 shipbuilding and conversion (Navy); fiscal 2019 other procurement (Navy); 2019 operations and maintenance (Navy); and 2019 weapons procurement (Navy), funding in the amount of $28,882,337 will be obligated at time of award and funds in the amount of $1,530,764 will expire at the end of the current fiscal year. The Naval Sea Systems Command, Washington, District of Columbia, is the contracting activity. Bell-Boeing JPO, Amarillo, Texas, is being awarded $23,325,145 for cost-plus- fixed-fee delivery order N0001918F5004 against a previously issued basic ordering agreement (N00019-17-G-0002) in support of the V-22. This order provides support of ongoing flight test and evaluation of the V-22 test aircraft. Work will be performed at Naval Air Station Patuxent River, Maryland (90 percent); and Marine Corps Air Station Yuma, Arizona (10 percent), and is expected to be completed in December 2018. Fiscal 2018 aircraft procurement (Navy); and fiscal 2018 research, development, test and evaluation (Navy) funds in the amount of $23,325,145 will be obligated at time of award; none of which will expire at the end of the current fiscal year. The Naval Air Systems Command, Patuxent River, Maryland, is the contracting activity. SRA International Inc., Chantilly, Virginia, was awarded an $11,336,940 firm-fixed-price contract for command, control, communications, and computer system afloat operations and sustainment support for capabilities aboard the Military Sealift Command (MSC) fleet of ships, and the MSC network operations centers. This contract includes a six-month period of performance. Work will be performed in Norfolk, Virginia, and work is scheduled to commence Jan. 1, 2019, and is scheduled to be completed June 30, 2019. This contract will be funded with Navy working capital funds; and U.S. Transportation Command working capital funds. Funds will expire at the end of the current fiscal year. This contract was awarded as an other than full and open requirement under unusual and compelling urgency procedures. Only one offer was solicited and received. The Navy's Military Sealift Command, Norfolk, Virginia, is the contracting activity. (N3220519C1000) (Awarded Dec. 31, 2018) Structural Associates Inc., * East Syracuse, New York, is awarded $10,008,000 for firm-fixed-price task order N4008519F4299 under a previously awarded multiple award construction contract (N40085-17-D-5048) for repairs for insulator shop relocation Building 166 at Portsmouth Naval Shipyard. The work to be performed provides building repairs and modernization to the historic 1941 Building 166. Exterior envelope repairs and replacement will include, but are not be limited to, roofing and wall systems, trim, windows and window systems, skylights, door repairs, concrete, the installation of roof and wall insulation, and reconfiguration of the building entrance to provide accessibility. Interior repair and renovation includes, but is not limited to, reconfiguration of existing toilet facilities, the renovation of electrical and plumbing systems, the replacement of deteriorated heating ventilation and air conditioning equipment and controls, and the modernization of fire protection systems. Work will include egress paths in order to improve space utilization, accessibility and life safety. The task order also contains five unexercised options, which, if exercised, would increase cumulative task order value to $10,691,110. Work will be performed in Kittery, Maine, and is expected to be completed by March 2020. Fiscal 2019 operations and maintenance (Navy) contract funds in the amount of $10,008,000 are obligated on this award and will expire at the end of the current fiscal year. Four proposals were received for this task order. The Naval Facilities Engineering Command, Mid-Atlantic, Norfolk, Virginia, is the contracting activity. Correction: Contract awarded on Dec. 27, 2018 to Bell Boeing JPO, Amarillo, Texas, was announced with the incorrect award amount and contracting activity. The contract should have stated the award amount of $ $24,448,390 and that the contracting activity is the Naval Air Warfare Center Aircraft Division, Lakehurst, New Jersey. All other contract information is correct. ARMY O'gara-Hess & Eisenhardt Armoring Co. LLC,* Fairfield, Ohio, was awarded a $60,736,752 firm-fixed-price contract to procure Family of Medium Tactical Vehicles protection kits. Bids were solicited via the internet with six received. Work locations and funding will be determined with each order, with an estimated completion date of Dec. 31, 2023. U.S. Army Contracting Command, Warren, Michigan, is the contracting activity (W56HZV-19-D-0041). Endeavor Robotics Inc., Chelmsford, Massachusetts, was awarded a $32,400,000 firm-fixed-price contract for reset, sustainment, maintenance, and recap parts for Robot Logistics Support Center technicians to support the overall sustainment actions of the entire Endeavor family of small, medium, and large robots. Bids were solicited via the internet with one received. Work locations and funding will be determined with each order, with an estimated completion date of Jan. 2, 2024. U.S. Army Contracting Command, Warren, Michigan, is the contracting activity (W56HZV-19-D-0031). CORRECTION: An $89,520,585 modification (0053 09) to contract W52P1J-11-G-0053 awarded to BAE Systems Ordnance Systems Inc., Radford, Virginia, announced Dec. 31, 2018, listed the wrong amount of funds obligated. The correct amount of obligated funds is $7,895,422. All other information in the announcement was correct. AIR FORCE BAE Systems Information and Electronics Systems Integration, Nashua, New Hampshire (FA8604-19-D-4021); The Boeing Co., Defense, Space & Security, St. Louis, Missouri (FA8604-19-D-4022); General Atomics Aeronautical Systems Inc.(GS-ASI), Poway, California (FA8604-19-D-4020); Goodrich Corp., UTC Aerospace Systems, ISR Systems, Westford, Massachusetts (FA8604-19-D-4023); Harris Corp., Electronic Systems, Integrated Electronic Warfare Systems, Clifton, New Jersey (FA8604-19-D-4027); Lockheed Martin Corp., Lockheed Martin Aeronautics Co., Fort Worth, Texas (FA8604-19-D-4026); Northrop Grumman Systems Corp., Northrop Grumman Aerospace Systems, Melbourne, Florida (FA8604-19-D-4024); and Raytheon Co., Raytheon, El Segundo, California (FA8604-19-D-40250), have been awarded $22,500,000 ceiling indefinite-delivery/indefinite-quantity contracts for the formation of a collaborative working group of various industry partners to work as single extended entity to develop, evolve, update via pre-planned product improvement initiatives, as well as manage and provide configuration control of the open mission systems and universal command and control interface standards, collectively referred to as the Open Architecture Standards. These contracts provide for the development, updating and management of the above standards with the following business goals, promote adaptability, flexibility, and expandability; support a variety of missions and domains; simplify integration; reduce technical risk and overall cost of ownership of weapon system programs; enable affordable technology refresh and capability evolution; enable reuse; enable independent development and deployment of system elements; and accommodate a range of cybersecurity approaches. Work will be performed at the industry partner facilities in Nashua, New Hampshire; St. Louis, Poway, California; Westford Massachusetts; Clifton New Hampshire; Fort Worth, Texas; and Melbourne, Florida, and is expected to be complete by December 31, 2022. This award is the result of a sole-source acquisition. Air Force Life Cycle Management, Wright Patterson Air Force Base, Ohio, is the contracting activity. *Small business https://dod.defense.gov/News/Contracts/Contract-View/Article/1723366/

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  23 mars 2020 | International, Terrestre, C4ISR

  Raytheon AI: Fix That Part Before It Breaks

  A modern mechanized military lives or dies by maintenance. But what if a computer could warn you when your weapons and vehicles were about to break, so you could fix them before they ever let you down? By SYDNEY J. FREEDBERG JR. WASHINGTON: Raytheon is working with the military on multiple pilot projects for AI-driven predictive maintenance. What's that? Traditionally, military mechanics spend a huge amount of time on what's called preventive maintenance: They carry truckloads of spare parts to war, they consult historical tables of roughly how often certain parts wear out or break down, and they preemptively crack open the access hatches to check those parts on a regular basis. The idea behind predictive maintenance is to feed all that historical data into a machine learning algorithm so it can tell maintainers, vehicle by vehicle and part by part, when something is likely to fail. It's a tremendous technical challenge that requires scanning in years of old handwritten maintenance forms, downloading digital records, and then constantly updating the database. Ideally, you want up-to-the-minute reports on things like engine temperature and suspension stress from diagnostic sensors installed in frontline vehicles. You need to account not only for what kind of equipment you're operating, but how hard it's running for a particular mission and even where in the world it's operating, because environmental conditions like heat, moisture, dust, and sand make a huge difference to wear and tear. And you can't just push out a single software solution and call it done. You have to constantly update your data so the algorithm can continue to learn, evolve, and adapt to different situations. But, Raytheon's Kevin Frazier and Butch Kievenaar told me, artificial intelligence and machine learning have advanced dramatically over just the last five years. Now Raytheon – a long-established defense contractor – is partnered with a flock of niche innovators to make it happen. Currently, they told me, Raytheon is already conducting or about to launch several multi-month pilot projects, seeking to prove the technology's value to the military: For the Army, they're working with a commercial partner on the M2 Bradley Infantry Fighting Vehicle, the mainstay armored troop transport of the heavy combat brigades, and the hulking M88 Hercules, a tracked “armored recovery vehicle” designed to tow broken-down battle tanks back for repair, if necessary under enemy fire. For the V-22 Joint Program Office – which supports the Osprey tiltrotor for the Marines, Air Force Special Operations Command, and now the Navy – they're working on the V-22's collision-avoidance radar, a Raytheon product. And across their customer base, they're looking at ways to do predictive maintenance on the many complex components Raytheon provides for a host of programs. How does this work? Let's hear from Kevin and Butch in their own words (edited for clarity and brevity from a highly technical 50-minute interview): Q: What kinds of problems can this technology help the military solve? Kevin: Right now, maintenance is conducted either on a scheduled timeline or when something breaks. What we are trying to do is replace that one piece because you know it's about to wear out and prevent it from breaking. Butch: One of the biggest things is you've got to understand what mission you're trying to achieve. If I'm trying to answer platform readiness questions, then I have to have certain data that's related to that topic. If I am trying to do supply chain analysis, I'm asking questions about where are critical parts and what size stockages we have to have to reduce turnaround time. So I'm answering a different question, and I'm looking at a different data set. So the key to setting all this up is what you do on the front end with your data to give the data scientists so that we can refine the algorithm appropriately. Q: AI/ML requires a lot of data. Is that data really available for all these different military systems? Kevin: It is. It's in different states. Some vehicles have sensors on them. Some do self-diagnostics. Some of the older equipment, especially the support equipment, doesn't have any sensors on them — but they all have files. They all are in the maintenance system, so the data exists. Data doesn't have to purely digital. It does have to be digitized at some point, but it doesn't necessarily have to start being digital. It could be maintenance logs that are hand-written, or the operator of a particular vehicle does a walk around and does an inspection report, writes that up — that's something that you actually can scan and input. Now we can add so many different types of data that your whole data environment becomes much richer. It helps you get to that algorithm — and then to continue to take in that data and refine that model. You're still recording that data and getting data from both handwritten and digital sources to update your model and tune it, so that you're just that much more accurate. Butch: What we're talking about is discrete algorithms solving for discrete problem sets. You look at the environment, and what the algorithm does is it learns. You keep ingesting data. You can get it a bunch of different ways so your analytical tool continues to learn, continues to refine. I can do a physical download from the vehicle, or scan maintenance records, or get it all fed off of a downloader that automatically feeds to the cloud. It can be as fast as we can automate the process of that piece of equipment feeding information back. For the Army and the Air Force especially, there is sufficient data over the last 15 that pertains to the impacts of combat. And we have it for different environments that you can then use to help train and refine the algorithms that you're using as it learns. Kevin: You have to understand the impacts the environment has on how the vehicle is functioning and what type of a mission you're doing, because that will cause different things to wear out sooner or break sooner. That's what the AI piece does. The small companies that we partner with, who are very good at these algorithms, already do this to some extent in the commercial world. We're trying to bring that to the military. Butch: The really smart data scientists are in a lot of the smaller niche companies that are doing this. We combine their tools with our ability to scale and wrap around the customer's needs. These are not huge challenges that we're talking about trying to solve. It is inside the current technological capability that exists. We have currently several pilot programs right now to demonstrate the use cases, that this capability that actually works. https://breakingdefense.com/2020/03/raytheon-ai-fix-that-part-before-it-breaks

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  10 octobre 2024 | International, Aérospatial

  Secret X-37B spaceplane maneuvers could impact future space operations

  The Space Force offered a rare glimpse into the X-37B’s latest endeavor, revealing that the spaceplane will conduct an aerobraking maneuver.