Company
Portfolio Data
Back to Company SearchOKEAN SOLUTIONS INC
UEI: FXZXK6CDEK25
Number of Employees: 4
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
SBIR/STTR Involvement
Year of first award: 2013
5
Phase I Awards
3
Phase II Awards
60%
Conversion Rate
$666,490
Phase I Dollars
$1,924,731
Phase II Dollars
$2,591,221
Total Awarded
Awards
Fault Management Analysis Tool For Model Centric Systems Engineering
Amount: $799,868 Topic: S5
This proposal responds to the need for new technologies to effectively manage and streamline complex fault management (FM) systems, enable rapid diagnostic model generation and validation, and provide tools to perform FM analyses and trades e.g., fault containment regions (FCRs), redundancy management, and sensor placement. Okean Solutions proposes to significantly improve FMnbsp;system modeling and analysis by integrating their model-based fault management tool/system, called MONSIDreg;, with JPLrsquo;s Computer Aided Engineering for Systems Architecture (CAESAR) platform. The innovation will create greater visibility into the FM process and lower the barriers to entry for users who are not FM experts. The combined capability will advance the practice of FM to ultimately decrease manually intensive and error-prone tasks and schedule costs while ensuring FM system robustness and appropriateness. The main application is FM analyses as well as design and software development. This could also be used in Integration and Test (Iamp;T) and operationalnbsp;phases to update onboard FM models and in support of recovery operations. By integrating with CAESAR, Okean Solutions sees unique opportunities to increase visibility and the number of users of the MONSID toolset as well as to provide more functionality for CAESAR.
Tagged as:
SBIR
Phase II
2022
NASA
Data Integration for Model-centric Engineering using openCAESAR
Amount: $135,951 Topic: N221-077
The Navy Strategic Systems Programs (SSP) has identified an increasing inability to associate and control large amounts of data generated and manipulated by the growing number of domain/discipline-specific tools. Tools used currently in SSP engineering processes work very well for their intended use, but even as they become more powerful, the generated data and artifacts effectively become more siloed and thus it’s very difficult to maintain alignment and keep track of changes. The lack of rigorous integration and management creates data gaps and inconsistencies which then lead systems engineers to rely on erroneous analyses and potentially come to faulty conclusions. Okean Solutions proposes the Data Integration for MOdel-centric eNgineering (DIMON, like “diamond”) system to transition Navy SSP systems engineering processes to a more efficient digital working environment. Data integration enables information from different sources and representations to be curated, compared, and combined so that it can be used as the authoritative description of an engineering program/product. Data integration relies on software infrastructure such as repositories, databases, and mechanisms that manage and run the environment. Model-centric engineering involves the representation of domain data in semantically rigorous ways, thereby creating ontological models. DIMON allows project data from different domains to be incrementally compared, merged and analyzed in a consistent manner. DIMON lowers barriers to working with different cross-vendor data creation and manipulation tools while avoiding product/vendor lock-in. DIMON leverages an open-source technology developed and maintained by NASA JPL called openCAESAR. The acronym stands for Computer Aided Engineering for Systems ARchitecture which is a software platform designed to enable different engineering teams to effectively share and manage a variety of data in order to perform domain-specific program development activities. The openCAESAR system provides ontological description, or modeling, of various system data. In CAESAR, the data is modeled via ontological instances with precise syntax and logical semantics, and thus no longer tool-specific. Often referred to as a “semantic data warehouse” openCAESAR is fully compatible with the OWL (OWL 2) semantic web language. The main goals of the proposed solution, through Phase II, is to develop the DIMON software platform that is semantically rigorous, extensible, multi-domain, and enables collaboration among different user roles. The solution will address compatibility problems with COTS tools currently in use as well as facilitate incorporation of new tools. DIMON will leverage the openCAESAR platform which will provide semantically-driven data integration. DIMON will utilize adaptors to interface with target COTS tools and utilize SSP ontologies.
Tagged as:
SBIR
Phase I
2022
DOD
NAVY
Fault Management Analysis Tool For Model Centric Systems Engineering
Amount: $131,179 Topic: S5
This proposal responds to the need for new technologies to effectively manage and streamline complex FM systems, enable rapid diagnostic model generation and validation, and provide tools to assess FM quality/performance e.g., fault containment regions (FCRs) and false positive/negative (FP/FN) rates. Okean Solutions proposes to improve fault management (FM) system modeling and analysis by integrating their model-based fault management tool/system, called MONSIDreg;, with JPLrsquo;s Computer Aided Engineering for Systems Architecture (CAESAR) platform. The innovation will create greater visibility into the FM process and lower the barriers to entry for users who are not FM experts. The combined capability will advance the practice of FM to ultimately decrease labor and schedule costs while ensuring FM system robustness and appropriateness. The main application is FM design and software development. This could also be used in Iamp;T and operations phases to update onboard FM models and in support of recovery operations.
Tagged as:
SBIR
Phase I
2021
NASA
Model-based Fault Diagnosis for Ground and Propulsion Systems
Amount: $124,598 Topic: H10
The Model-based Off-Nominal State Identification and Detection (MONSID) system provides robust and reliable fault management capabilities. The MONSID technology is composed of a diagnostic engine and system specific models. MONISD is a relatively compact software package because it relies only on modeling nominal behavior; fault models are not needed. The technique identifies the hardware element that is the cause of the detected fault thereby enabling more targeted recovery/repair response. MONSID supports autonomous operations technology requirements to reduce operations and maintenance costs and minimizes human in the loop intervention. Applied to propellant management and test facilities, the MONSID technology can provide a critical component for autonomous health management of these systems. MONSID provides an evolutionary approach to full onboard autonomy as it can first be implemented and tested in ground-based systems and then migrated to off-world remote operations. Autonomous fault management will be crucial to NASA mission success particularly during critical times where the situation changes rapidly and unpredictably with no opportunity for operator support.
Tagged as:
SBIR
Phase I
2020
NASA
Model-Based Architecture for Responsive Spacecraft Autonomy
Amount: $375,000 Topic: AF131-092
The Model-based Off-Nominal State Identification and Detection (MONSID) FM system addresses the need for cost-effective solutions that enable higher levels of onboard spacecraft autonomy to reliably maintain operational capabilities. The system will provide onboard off-nominal state detection and isolation capabilities that are key components to assessing spacecraft state awareness. The ability to autonomously isolate spacecraft failures to component levels will enable faster recovery thereby reducing down time. The MONSID system is a relatively compact software package because it relies only on modeling nominal behavior; fault models are not needed. Thus, this approach has the capability to detect off-nominal behavior including un-modeled faults. Health information produced by the FM system can be used to make resource allocation and planning and scheduling decisions by ground operations or by other on-board autonomy agents. The system can be built and tested standalone potentially reducing FM developmental and testing costs. The FM system provides an evolutionary approach to full onboard autonomy as it can first be implemented and tested in ground-based systems and then migrated onboard spacecraft. The MONSID system will be fielded in an AFRL test environment designed to integrate and evaluate spacecraft autonomy enabling technologies. Onboard fault management is crucial to NASA mission
Tagged as:
SBIR
Phase II
2019
DOD
USAF
Model-Based Off-Nominal State Isolation and Detection System for Autonomous Fault Management
Amount: $749,863 Topic: S5.05
The proposed model-based Fault Management system addresses the need for cost-effective solutions that enable higher levels of onboard spacecraft autonomy to reliably maintain operational capabilities. The system will provide onboard off-nominal state detection and isolation capabilities that are key components to assessing spacecraft state awareness. The ability to autonomously isolate spacecraft failures to component levels will enable faster recovery thereby reducing down time. Model-based systems can provide better fault coverage than traditional limit-checking systems. The proposed system in particular will result in a relatively compact software package because it relies only on modeling nominal behavior; fault models are not needed. Thus this approach has the capability to detect any off-nominal behavior including un-modeled faults. Health information produced by the FM system can be used to make resource allocation and planning and scheduling decisions by ground operations or by other on-board autonomy agents. The system can be built and tested standalone potentially reducing FM developmental and testing costs. The FM system provides an evolutionary approach to full onboard autonomy as it can first be implemented and tested in ground-based systems and then migrated onboard spacecraft. Onboard fault management will be crucial to NASA mission success particularly during critical times where the situation changes rapidly and unpredictably with no opportunity for operator support.
Tagged as:
SBIR
Phase II
2016
NASA
Model-Based Off-Nominal State Isolation and Detection System for Autonomous Fault Management
Amount: $124,879 Topic: S5.05
The proposed model-based Fault Management system addresses the need for cost-effective solutions that enable higher levels of onboard spacecraft autonomy to reliably maintain operational capabilities. The system will provide onboard off-nominal state detection and isolation capabilities that are key components to assessing spacecraft state awareness. The ability to autonomously isolate spacecraft failures to component levels will enable faster recovery thereby reducing down time. Model-based systems can provide better fault coverage than traditional limit-checking systems. The proposed system in particular will result in a relatively compact software package because it relies only on modeling nominal behavior; fault models are not needed. Thus this approach has the capability to detect any off-nominal behavior including un-modeled faults. Health information produced by the FM system can be used to make resource allocation and planning and scheduling decisions by ground operations or by other on-board autonomy agents. The system can be built and tested standalone potentially reducing FM developmental and testing costs. The FM system provides an evolutionary approach to full onboard autonomy as it can first be implemented and tested in ground-based systems and then migrated onboard spacecraft. Onboard fault management will be crucial to NASA mission success particularly during critical times where the situation changes rapidly and unpredictably with no opportunity for operator support.
Tagged as:
SBIR
Phase I
2015
NASA
Model-Based Architecture for Responsive Spacecraft Autonomy
Amount: $149,883 Topic: AF131-092
ABSTRACT: This proposal addresses the need for solutions that enable higher levels of spacecraft autonomy to reliably maintain operational capabilities. Random hardware faults and hostile threats necessitate autonomous systems capable of responding quickly and effectively to these threats and unexpected events. The proposed research will develop an autonomy software architecture that enables evolutionary onboard capabilities with initial focus on Fault Management. DoD missions will benefit from robust, reliable autonomous capability in support of the warfighter. Onboard autonomy will be crucial to mission success particularly during critical times where the situation changes rapidly and unpredictably with no opportunity for operator support. BENEFIT: The need for the proposed capabilities is emerging, and will increase dramatically as autonomous systems begin to diffuse into operational systems over the next several years. DoD"s drive to a Blue Force situational awareness has already pushed it into exploration of autonomy-enabling architectures which will only increase as spacecraft autonomy moves into the broader spacecraft industry. The DoD"s need for robust, reliable spacecraft autonomy will be especially great due to the variety and complexity of DoD missions. The evolutionary approach to autonomy will be applicable to near-term missions as well as more complex future missions requiring higher levels of onboard autonomy. The capability, with tailoring, will be applicable to a broad set of modularity implementations, and could find applications today with AFRL"s smart technologies development. It could be used for virtually any system requiring onboard autonomy and would thus potentially cover the entire range of mission types from small to large, near-Earth to interplanetary, experimental, science, military, and commercial.
Tagged as:
SBIR
Phase I
2013
DOD
USAF