At our webinar, "Building a Digital Thread," Systems Engineer, Andy Tapia, discussed building digital threads using integrated program management, systems engineering, and design engineering tools. These tools support the entire product lifecycle. He also discussed when to integrate and when to curate the digital products of these tools. He did all this by going through the steps of our Lunar Rover prototype, SPECTER.
The document summarizes a demonstration of a digital thread for engineering a lunar rover prototype using Innoslate's systems engineering tools. It describes 4 tasks: research and design, building the prototype, testing it, and demonstrating the digital thread. Key activities included designing the rover, 3D printing components, assembling the prototype called SPECTER, simulating its mission in STK and MATLAB, and validating it meets requirements. The digital thread integrated models, documents, simulations, code, and tests to engineer a prototype lunar rover from concept to testing.
Max Fagin's project portfolio includes 13 projects spanning reconfigurable space structures, high altitude balloons, sounding rockets, spacecraft systems, Mars entry descent and landing simulations, space elevator dynamics modeling, field tests at a Mars simulation station, engineering design work, and constructing the largest sundial in Colorado Springs. The projects range from 2 months to 10 years in duration and $1000 to $150,000 in budget. SolidWorks, COMSOL, MATLAB, and ANSYS are among the commonly used design and analysis programs.
Tackling Resolutions With Innoslate.pptxTaylorDuffy11
A New Year represents a fresh start and the perfect opportunity to improve a certain aspect of your life. Making resolutions doesn't always have to be about losing weight or starting a hobby. What about creating better solutions for your workflow?
In our webinar, "Tackling Resolutions With Innoslate," Dr. Steven Dam walks you through starting new with Innoslate through migration, integration, organization, gap analysis, and more. He also used this time to show off the new and improved, Innoslate 4.7.
The document provides an overview of the Geo Analytics Canada demonstration platform. It describes how the platform addresses the challenge of analyzing large satellite datasets using traditional desktop tools by bringing algorithms to scalable cloud data and computing resources. Key features highlighted include on-demand compute and storage, tools for querying, discovering and analyzing satellite data, pre-processing pipelines, and personal analytic environments for interactive exploration and scaling of analyses. The platform aims to enable big data analytics of satellite datasets through open-source technologies and partnerships between IT and Earth observation experts.
SPEC Innovations interns are unlike most interns, as they are put on high-level tasks and work directly with customers to complete mission-critical tasks.
During our 2nd Annual "Summer Intern Special" webinar, our interns shared a little bit about themselves and all the work they've done this summer. This spanned from NASA’s Moon to Mars Project, to Innoslate user experience improvements through our Help Center and Cameo research, to cybersecurity implementation that meets industry standards, to software development improvement through testing.
SOFTWARES FOR CIVIL ENGINEERS and BIM by SATHISH SKCT, coimbatore
This document provides an overview of various civil engineering software applications. It begins by stating the objectives of the session, which are to create awareness of software used by civil engineers, understand real-world problems through software visualizations, share information about free software and resources, and motivate the use of software in classrooms. It then discusses software used in various civil engineering domains like structural engineering, construction management, transportation engineering, and geotechnical engineering. For structural engineering, it focuses on software for modeling, analysis, design, and detailing of reinforced concrete and steel structures. It also discusses building information modeling (BIM) and provides examples of structural analysis done using software. In the end, it mentions that many software are available for free for
Manage Mission-Critical Requirements Through Agile in InnoslateTaylorDuffy11
The document discusses an upcoming webinar on agile systems engineering and the Innoslate tool. It provides an agenda that will cover the agile manifesto, agile systems engineering processes, the difference between requirements and issues, and the middle-out approach. An example of how Innoslate was developed using agile principles is provided. The webinar will demonstrate how Innoslate supports agile systems engineering and software development through requirements management, software tracking, and other program management tools. Attendees are invited to ask questions during the webinar.
The document summarizes a demonstration of a digital thread for engineering a lunar rover prototype using Innoslate's systems engineering tools. It describes 4 tasks: research and design, building the prototype, testing it, and demonstrating the digital thread. Key activities included designing the rover, 3D printing components, assembling the prototype called SPECTER, simulating its mission in STK and MATLAB, and validating it meets requirements. The digital thread integrated models, documents, simulations, code, and tests to engineer a prototype lunar rover from concept to testing.
Max Fagin's project portfolio includes 13 projects spanning reconfigurable space structures, high altitude balloons, sounding rockets, spacecraft systems, Mars entry descent and landing simulations, space elevator dynamics modeling, field tests at a Mars simulation station, engineering design work, and constructing the largest sundial in Colorado Springs. The projects range from 2 months to 10 years in duration and $1000 to $150,000 in budget. SolidWorks, COMSOL, MATLAB, and ANSYS are among the commonly used design and analysis programs.
Tackling Resolutions With Innoslate.pptxTaylorDuffy11
A New Year represents a fresh start and the perfect opportunity to improve a certain aspect of your life. Making resolutions doesn't always have to be about losing weight or starting a hobby. What about creating better solutions for your workflow?
In our webinar, "Tackling Resolutions With Innoslate," Dr. Steven Dam walks you through starting new with Innoslate through migration, integration, organization, gap analysis, and more. He also used this time to show off the new and improved, Innoslate 4.7.
The document provides an overview of the Geo Analytics Canada demonstration platform. It describes how the platform addresses the challenge of analyzing large satellite datasets using traditional desktop tools by bringing algorithms to scalable cloud data and computing resources. Key features highlighted include on-demand compute and storage, tools for querying, discovering and analyzing satellite data, pre-processing pipelines, and personal analytic environments for interactive exploration and scaling of analyses. The platform aims to enable big data analytics of satellite datasets through open-source technologies and partnerships between IT and Earth observation experts.
SPEC Innovations interns are unlike most interns, as they are put on high-level tasks and work directly with customers to complete mission-critical tasks.
During our 2nd Annual "Summer Intern Special" webinar, our interns shared a little bit about themselves and all the work they've done this summer. This spanned from NASA’s Moon to Mars Project, to Innoslate user experience improvements through our Help Center and Cameo research, to cybersecurity implementation that meets industry standards, to software development improvement through testing.
SOFTWARES FOR CIVIL ENGINEERS and BIM by SATHISH SKCT, coimbatore
This document provides an overview of various civil engineering software applications. It begins by stating the objectives of the session, which are to create awareness of software used by civil engineers, understand real-world problems through software visualizations, share information about free software and resources, and motivate the use of software in classrooms. It then discusses software used in various civil engineering domains like structural engineering, construction management, transportation engineering, and geotechnical engineering. For structural engineering, it focuses on software for modeling, analysis, design, and detailing of reinforced concrete and steel structures. It also discusses building information modeling (BIM) and provides examples of structural analysis done using software. In the end, it mentions that many software are available for free for
Manage Mission-Critical Requirements Through Agile in InnoslateTaylorDuffy11
The document discusses an upcoming webinar on agile systems engineering and the Innoslate tool. It provides an agenda that will cover the agile manifesto, agile systems engineering processes, the difference between requirements and issues, and the middle-out approach. An example of how Innoslate was developed using agile principles is provided. The webinar will demonstrate how Innoslate supports agile systems engineering and software development through requirements management, software tracking, and other program management tools. Attendees are invited to ask questions during the webinar.
The document summarizes a project to create a system for sharing crowd-sourced asteroid imagery and visualizing asteroid data. The team developed a website with features to display asteroid imagery, plot the orbits of 4000 asteroids around the solar system by highlighting individual asteroids and showing planetary orbits. They used Node.js, Angular.js, and webGL for rendering. Due to time constraints, some planned features like 3D rendering and impact risk analysis had to be removed. All code was made open source.
Energy Saving Trust - Esri UK Annual Conference 2016Esri UK
This document summarizes a project using ArcGIS software to analyze and map home energy performance data across Devon, UK. The project involved collecting Energy Performance Certificate data, modeling it spatially to determine key property variables for each home, building an address-level housing database, and creating an online mapping platform to visualize the data. Challenges included developing a replicable spatial model and creating a high-performance web app with low ongoing costs. These were overcome by automating tasks in ArcMap and hosting map services on ArcGIS Online. The final solution allowed users to conduct queries and explore data layers to inform energy efficiency strategies. Lessons learned included effective use of Esri tools and cloud hosting for web mapping large datasets.
OAC - From Cloud Entry to Data Engineering to Data ScienceChristian Berg
Everybody has read about all the usual buzzwords endlessly. Yet how do these translate into what’s actually available in the products and how are they really being used? Let’s cut away the marketing nonsense and the empty buzzwords and GO to the cloud, DO data engineering and DO Machine Learning
Smalltalks 2013 - A web console to control nanosatellitesNahuel Garbezza
This document describes a web console created to control nanosatellites built by Satellogic using open source hardware and software. The key aspects discussed include: (1) using test-driven development to discover the domain; (2) a visual interface for sending and receiving packages using Seaside, JQuery, and DataTables; and (3) displaying charts, parsing command definitions, allowing custom scripting, and concluding with lessons learned.
This document contains feedback from various users on the CitySDK workshop hosted by the US Census Bureau. The feedback highlights that the SDK makes it easy to integrate Census data and boundaries by allowing GeoJSON to be sent in requests. Users were able to build applications quickly and spent more time on user interfaces rather than integrating data. The modularity of the SDK also allowed one user to build a module for a USDA API in an hour. Suggestions are provided to improve documentation, tutorials and functionality of the SDK.
We begin with evaluation of the Glass Build as an Engineering Process of Synthesis in Architectural Design in ARK Mode. Now we examine the Economic Change as we position the product in the market by determining what engineering requirements are first and develop a Theoretical Production to develop pricing and costing of the project. We begin to study the constraints of Remote Building with Media Modeling
Break on Through (To The Java(Script) Side) - Smart Development - Esri UK Ann...Esri UK
In June 2016, Esri retired the ArcGIS API for Flex. This presentation aims to demonstrate the many benefits of migrating existing Flex applications to JavaScript, utilising the full suite of well-documented online resources and additional training options available from Esri. These have enabled Intertek to undertake this transition seamlessly and taking advantage of enhanced features provided by using JavaScript.
Analysis Ready Data workshop - OGC presentation George Percivall
The Open Geospatial Consortium (OGC) has activities relevant to the workshop scope of "the current state-of-the-art in satellite data interoperability”. This presentation will focus on two main topics with the option to discuss other relevant topics that the participants may wish to discuss, e.g., WFS3. The two focus areas of development: 1) Geospatial Datacubes and 2) Earth Observation Exploitation Platforms. 1) A Geospatial Datacube provides access to and analytics on analysis ready data (ARD) organized with coordinate axes of space and time with cells in the cube containing data of geospatial features, e.g., imagery. OGC members implementing geospatial datacubes are documenting common practices to spur development and leading to the possibility to federated geospatial datacubes. 2) OGC is forming a Earth Observation Exploitation Platform Domain Working Group with the goal of defining a standards-based framework for cloud-based access to and analysis of EO data. An ad-hoc meeting was held in March 2018 to scope the working group with the results issued in a request for comment: http://www.opengeospatial.org/pressroom/pressreleases/2792
This document summarizes a new cloud-based platform for analyzing large satellite Earth observation (EO) data. Key points:
- Traditional desktop tools cannot handle the growing size of EO data, requiring a shift to cloud-native analytics using big data tools.
- The demonstrated platform brings algorithms to distributed data using open-source tools like Kubernetes, Docker, and Jupyter notebooks running on Google Cloud.
- It provides scalable infrastructure for processing and analyzing petabytes of EO data through pipelines, supports open data standards, and ensures data sovereignty with Canadian storage.
Pothole Reporter For Nova Scotia-PresentationJaskarn Gill
This document describes a crowdsourcing app created using ArcGIS Online and AppStudio for ArcGIS to report pothole locations in Nova Scotia. The app allows the public to submit photos and details of pothole locations using Collector for ArcGIS or a web form. Submissions will be stored on a webmap and used by the Transportation and Infrastructure Renewal department to track and prioritize pothole repairs. The creator used AppStudio to build a mobile app for public use, which provides an interactive map and form to easily report potholes. Future improvements could include collecting more accurate data and improving the layout and analysis capabilities of the web applications.
Spark is a general purpose computational framework that provides more flexibility than MapReduce. It leverages distributed memory and uses directed acyclic graphs for data parallel computations while retaining MapReduce properties like scalability, fault tolerance, and data locality. Cloudera has embraced Spark and is working to integrate it into their Hadoop ecosystem through projects like Hive on Spark and optimizations in Spark Core, MLlib, and Spark Streaming. Cloudera positions Spark as the future general purpose framework for Hadoop, while other specialized frameworks may still be needed for tasks like SQL, search, and graphs.
Android Clean Architecture for DummiesKengo Suzuki
Brief tutorial of implementing very primitive app(single list view) using Android Clean Architecture. It won't describe what and why, but rather, how to use it.
At our webinar, "Issue Tracking," Dr. Steven Dam covered the ways to uncover issues through the use of Innoslate's Intelligence View and GitHub compatibility. He also covered other Issue Tracking methods in Innoslate such as:
-Its transparent, SSoT
-Centralized Views
-Tasking
-Digital Documents
-Collaboration
-Customization
-Reporting
-Gap Analysis
Zusammenfassung der Highlights vom Sitecore Symposium 2016 in New Orleans. Präsentiert von Friederike Heinze im Rahmen der Sitecore Usergroup in Berlin am 29.09.2016
Drupal 9 and Backwards Compatibility: Why now is the time to upgrade to Drupal 8Angela Byron
This document discusses Drupal version releases and backwards compatibility. It provides an overview of Drupal's history from versions 5-8 and the transition to semantic versioning in Drupal 8. It outlines the benefits of new capabilities being added every 6 months in Drupal 8 while maintaining backwards compatibility. Practical advice is given for site builders to stay informed of changes and get involved in the Drupal community to help shape upcoming releases like Drupal 9.
Presentation to NH Arch - Parametric Modelling and Evolutionary AnalysisNathan Luke
Parametric modeling and evolutionary analysis allow for rapid iteration and optimization of designs. Parameters can define geometric properties and be linked to analysis to automatically evaluate designs. This allows exploration of many design options to find the best solution. Examples shown include a snowflake structure where the dome geometry was optimized through structural analysis in Grasshopper. A stadium project demonstrated using parameters to accurately place members and apply rotations based on building planes. Key benefits are closer integration of architecture and structure, increased options evaluation, and efficient form finding.
Mercury CubeSat Presentation for ASAT2016Karen Grothe
An abridged version of my Capstone project for my Systems Engineering Masters Degree program. Presented at AIAA OC ASAT in April 2016. (Virtually the same as my INCOSE RMC presentation.)
This document provides an overview of Docker, containers, and related tools. It introduces Docker Inc. as the company that started the "hype" around Docker by open sourcing the Docker codebase in 2013. Containers are explained as a collection of kernel features like namespaces and cgroups that isolate processes. Popular container runtimes include Docker Engine, rkt, and App Container. Images are standardized read-only filesystems used to deploy applications in containers. Tools like Docker Machine, Docker Compose, Docker Swarm, and Kitematic help provision and manage containers. A voting application demo is shown to illustrate Docker in action.
This webinar discusses how program management and systems engineering can better integrate to improve program success. It introduces Innoslate, a tool that supports this integration. The webinar agenda includes explaining common causes of program failure, distinguishing the roles of program management and systems engineering, and how a middle-out approach can make these functions more agile. The presentation demonstrates how Innoslate uses an integrated ontology and various modeling and simulation capabilities to facilitate collaboration between program management and systems engineering.
At our webinar, "Getting Started With MBSE: A Data-Driven Approach With Innoslate," Systems Engineer, Lilleigh Stevie, shared the foundation of MBSE that allows you to easily track your system through the entire lifecycle.
The document summarizes a project to create a system for sharing crowd-sourced asteroid imagery and visualizing asteroid data. The team developed a website with features to display asteroid imagery, plot the orbits of 4000 asteroids around the solar system by highlighting individual asteroids and showing planetary orbits. They used Node.js, Angular.js, and webGL for rendering. Due to time constraints, some planned features like 3D rendering and impact risk analysis had to be removed. All code was made open source.
Energy Saving Trust - Esri UK Annual Conference 2016Esri UK
This document summarizes a project using ArcGIS software to analyze and map home energy performance data across Devon, UK. The project involved collecting Energy Performance Certificate data, modeling it spatially to determine key property variables for each home, building an address-level housing database, and creating an online mapping platform to visualize the data. Challenges included developing a replicable spatial model and creating a high-performance web app with low ongoing costs. These were overcome by automating tasks in ArcMap and hosting map services on ArcGIS Online. The final solution allowed users to conduct queries and explore data layers to inform energy efficiency strategies. Lessons learned included effective use of Esri tools and cloud hosting for web mapping large datasets.
OAC - From Cloud Entry to Data Engineering to Data ScienceChristian Berg
Everybody has read about all the usual buzzwords endlessly. Yet how do these translate into what’s actually available in the products and how are they really being used? Let’s cut away the marketing nonsense and the empty buzzwords and GO to the cloud, DO data engineering and DO Machine Learning
Smalltalks 2013 - A web console to control nanosatellitesNahuel Garbezza
This document describes a web console created to control nanosatellites built by Satellogic using open source hardware and software. The key aspects discussed include: (1) using test-driven development to discover the domain; (2) a visual interface for sending and receiving packages using Seaside, JQuery, and DataTables; and (3) displaying charts, parsing command definitions, allowing custom scripting, and concluding with lessons learned.
This document contains feedback from various users on the CitySDK workshop hosted by the US Census Bureau. The feedback highlights that the SDK makes it easy to integrate Census data and boundaries by allowing GeoJSON to be sent in requests. Users were able to build applications quickly and spent more time on user interfaces rather than integrating data. The modularity of the SDK also allowed one user to build a module for a USDA API in an hour. Suggestions are provided to improve documentation, tutorials and functionality of the SDK.
We begin with evaluation of the Glass Build as an Engineering Process of Synthesis in Architectural Design in ARK Mode. Now we examine the Economic Change as we position the product in the market by determining what engineering requirements are first and develop a Theoretical Production to develop pricing and costing of the project. We begin to study the constraints of Remote Building with Media Modeling
Break on Through (To The Java(Script) Side) - Smart Development - Esri UK Ann...Esri UK
In June 2016, Esri retired the ArcGIS API for Flex. This presentation aims to demonstrate the many benefits of migrating existing Flex applications to JavaScript, utilising the full suite of well-documented online resources and additional training options available from Esri. These have enabled Intertek to undertake this transition seamlessly and taking advantage of enhanced features provided by using JavaScript.
Analysis Ready Data workshop - OGC presentation George Percivall
The Open Geospatial Consortium (OGC) has activities relevant to the workshop scope of "the current state-of-the-art in satellite data interoperability”. This presentation will focus on two main topics with the option to discuss other relevant topics that the participants may wish to discuss, e.g., WFS3. The two focus areas of development: 1) Geospatial Datacubes and 2) Earth Observation Exploitation Platforms. 1) A Geospatial Datacube provides access to and analytics on analysis ready data (ARD) organized with coordinate axes of space and time with cells in the cube containing data of geospatial features, e.g., imagery. OGC members implementing geospatial datacubes are documenting common practices to spur development and leading to the possibility to federated geospatial datacubes. 2) OGC is forming a Earth Observation Exploitation Platform Domain Working Group with the goal of defining a standards-based framework for cloud-based access to and analysis of EO data. An ad-hoc meeting was held in March 2018 to scope the working group with the results issued in a request for comment: http://www.opengeospatial.org/pressroom/pressreleases/2792
This document summarizes a new cloud-based platform for analyzing large satellite Earth observation (EO) data. Key points:
- Traditional desktop tools cannot handle the growing size of EO data, requiring a shift to cloud-native analytics using big data tools.
- The demonstrated platform brings algorithms to distributed data using open-source tools like Kubernetes, Docker, and Jupyter notebooks running on Google Cloud.
- It provides scalable infrastructure for processing and analyzing petabytes of EO data through pipelines, supports open data standards, and ensures data sovereignty with Canadian storage.
Pothole Reporter For Nova Scotia-PresentationJaskarn Gill
This document describes a crowdsourcing app created using ArcGIS Online and AppStudio for ArcGIS to report pothole locations in Nova Scotia. The app allows the public to submit photos and details of pothole locations using Collector for ArcGIS or a web form. Submissions will be stored on a webmap and used by the Transportation and Infrastructure Renewal department to track and prioritize pothole repairs. The creator used AppStudio to build a mobile app for public use, which provides an interactive map and form to easily report potholes. Future improvements could include collecting more accurate data and improving the layout and analysis capabilities of the web applications.
Spark is a general purpose computational framework that provides more flexibility than MapReduce. It leverages distributed memory and uses directed acyclic graphs for data parallel computations while retaining MapReduce properties like scalability, fault tolerance, and data locality. Cloudera has embraced Spark and is working to integrate it into their Hadoop ecosystem through projects like Hive on Spark and optimizations in Spark Core, MLlib, and Spark Streaming. Cloudera positions Spark as the future general purpose framework for Hadoop, while other specialized frameworks may still be needed for tasks like SQL, search, and graphs.
Android Clean Architecture for DummiesKengo Suzuki
Brief tutorial of implementing very primitive app(single list view) using Android Clean Architecture. It won't describe what and why, but rather, how to use it.
At our webinar, "Issue Tracking," Dr. Steven Dam covered the ways to uncover issues through the use of Innoslate's Intelligence View and GitHub compatibility. He also covered other Issue Tracking methods in Innoslate such as:
-Its transparent, SSoT
-Centralized Views
-Tasking
-Digital Documents
-Collaboration
-Customization
-Reporting
-Gap Analysis
Zusammenfassung der Highlights vom Sitecore Symposium 2016 in New Orleans. Präsentiert von Friederike Heinze im Rahmen der Sitecore Usergroup in Berlin am 29.09.2016
Drupal 9 and Backwards Compatibility: Why now is the time to upgrade to Drupal 8Angela Byron
This document discusses Drupal version releases and backwards compatibility. It provides an overview of Drupal's history from versions 5-8 and the transition to semantic versioning in Drupal 8. It outlines the benefits of new capabilities being added every 6 months in Drupal 8 while maintaining backwards compatibility. Practical advice is given for site builders to stay informed of changes and get involved in the Drupal community to help shape upcoming releases like Drupal 9.
Presentation to NH Arch - Parametric Modelling and Evolutionary AnalysisNathan Luke
Parametric modeling and evolutionary analysis allow for rapid iteration and optimization of designs. Parameters can define geometric properties and be linked to analysis to automatically evaluate designs. This allows exploration of many design options to find the best solution. Examples shown include a snowflake structure where the dome geometry was optimized through structural analysis in Grasshopper. A stadium project demonstrated using parameters to accurately place members and apply rotations based on building planes. Key benefits are closer integration of architecture and structure, increased options evaluation, and efficient form finding.
Mercury CubeSat Presentation for ASAT2016Karen Grothe
An abridged version of my Capstone project for my Systems Engineering Masters Degree program. Presented at AIAA OC ASAT in April 2016. (Virtually the same as my INCOSE RMC presentation.)
This document provides an overview of Docker, containers, and related tools. It introduces Docker Inc. as the company that started the "hype" around Docker by open sourcing the Docker codebase in 2013. Containers are explained as a collection of kernel features like namespaces and cgroups that isolate processes. Popular container runtimes include Docker Engine, rkt, and App Container. Images are standardized read-only filesystems used to deploy applications in containers. Tools like Docker Machine, Docker Compose, Docker Swarm, and Kitematic help provision and manage containers. A voting application demo is shown to illustrate Docker in action.
This webinar discusses how program management and systems engineering can better integrate to improve program success. It introduces Innoslate, a tool that supports this integration. The webinar agenda includes explaining common causes of program failure, distinguishing the roles of program management and systems engineering, and how a middle-out approach can make these functions more agile. The presentation demonstrates how Innoslate uses an integrated ontology and various modeling and simulation capabilities to facilitate collaboration between program management and systems engineering.
At our webinar, "Getting Started With MBSE: A Data-Driven Approach With Innoslate," Systems Engineer, Lilleigh Stevie, shared the foundation of MBSE that allows you to easily track your system through the entire lifecycle.
In this webinar, "Simulate Functional Models: Generate Cost, Schedule, Performance, and Resource Analytics Rapidly," Dr. Steven Dam walks you through scripting and simulation using Innoslate's Discrete Event and Monte Carlo Simulators. This allows you to plan ahead by analyzing your system or project’s cost, schedule, and performance.
In our webinar, "Implementing AI in MBSE," Dr. Steven Dam shared more about the current state of AI, how Innoslate and Sopatra use AI, and how you can use AI to model your system.
Go Beyond Microsoft Office With InnoslateTaylorDuffy11
Using Word, PowerPoint, and Excel limits your ability to model your system across the entire lifecycle. Innoslate goes beyond these tools and offers a single source of truth. At our webinar, "Go Beyond Microsoft Office With Innoslate." Dr. Steven Dam shows you how Innoslate will improve your system by performing more than Microsoft's tools can.
A Look Into the Last 10 Years and the Future of Innoslate (1).pptxTaylorDuffy11
On Thursday, December 8th, SPEC Innovations hosted our webinar, "A Look Into the Last 10 Years and the Future of Innoslate." Dr. Steven Dam talked about the highlights and features of the MBSE tool throughout the past decade and reflected on the capabilities and growth we have had. Dr. Dam also used this time to lay out the future roadmap of the tool.
artificial intelligence and data science contents.pptxGauravCar
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
› ...
Artificial intelligence (AI) | Definitio
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
2. Ask Us Your Questions
2
-Ask us your questions through email
at marketing@specinnovations.com.
-This presentation is being recorded
and will be made available to you on
our website and through email.
-Contact us after the webinar through
● support@Innoslate.com
● Call 571.485.7800
● LinkedIn: “Innoslate Users and
Systems Engineers” Group
● Twitter: @specinnovations
Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
3. Meet Your Host
• Andy Tapia, Systems Engineer
• GMU Systems Engineering Alumni
• andy.tapia@specinnovations.com
3
Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
4. Agenda
• SPEC Innovations Background
• Digital Thread Defined
• NASA’s Break the Ice Challenge
• Innoslate’s Digital Thread
• Initiating a Project for a Lunar Rover Prototype
• Task 1 - Research & Design
• Task 2 - Build
• Task 3 - Test
• Task 4 - Demonstration
4
Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
5. SPEC Innovations Background
• Developers of MBSE tool Innoslate, supports the entire
Systems Engineering Lifecycle
• Constantly releasing updates to support digital thread -
most recent version is v4.7
• Interested in NASA’s Break the Ice Challenge to
demonstrate Innoslate’s Digital Thread capabilities
• Goal: Produce a lunar rover prototype system using a
complete digital thread
• Scope: System boundary limited to physical aspects of lunar
rover
5
Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
6. Digital Thread Defined
• INCOSE’s Systems Engineering Handbook (5th Edition):
• “A digital thread is a set of interconnected, cross-discipline
model data that seamlessly expedite the controlled
interplay of digital artifacts to inform decision makers
throughout a system’s life cycle.”
• In other words…
• A digital record of all engineering data used to drive
decisions throughout the system’s life cycle!
6
Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
7. NASA’s Break the Ice Challenge
• Competition hosted by NASA
• Solution architecture sought for:
• Excavating regolith
• Maximizing water delivered
• Minimizing mass of equipment
• Minimizing power consumption
• Mission Goal: Extract 10,000 kg of water from regolith
in 365 Earth days
7
Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
8. Stepping Through the Lifecycle
• Used to step through the lunar rover prototype
lifecycle in Innoslate’s Digital Thread
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
9. Initiating the Lunar Rover Project
• Used Documents, Diagrams, and Project
Management Views to initiate the Lunar Rover
Project
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
10. Project Management Plan
• Defines the project’s:
• Scope
• Schedule
• Budget
• Technical Execution
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Documents View
PMP Document:
Lunar Rover PMP
11. Statement of Work
• SOW created in an Action
Diagram to define the
technical work
• Tasks include:
• Research & Design
• Build
• Test
• Demonstration
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Action Diagram:
Lunar Rover SOW
Diagrams View
12. Schedule
• Auto-generated by opening a Timeline Diagram or
Gantt Chart from the previous SOW Action Diagram
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Timeline Diagram:
Lunar Rover SOW
Diagrams View
Gantt Chart:
Lunar Rover SOW
Charts View
13. Kanban Board
• Used to keep track of the status of each Task
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Kanban Board:
Lunar Rover
SOW Project Management View
14. Task One: Research & Design
• Focuses on Architecture Development and Design
phases using Innoslate’s Documents, Diagrams, and
Modeling & Simulation features
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
15. Task One’s SOW
• Sub-Tasks:
• Research
• Design
• Incorporate Innoslate’s
Digital Thread
• Produced Documents:
• Requirements, Bill of
Materials (BoM), and Task
One Final Report
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Action Diagram:
Lunar Rover SOW
Diagrams View
16. Research System Architecture
• Mission Requirements
• Excavate icy regolith at
Excavation Site
• Extract water from icy
regolith using the NASA
Water Extraction Plant
• Deliver water to Delivery
Site
Additional performance
parameters and
environmental constraints
also provided by NASA
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Requirements Document:
Mission Requirements
Documents View
17. Design - Context Analysis
• “As-Is” System Architecture
• Ground Communication
• Lunar Lander
• Excavation Site
• Delivery Site
• NASA Water Extraction
Plant
• NASA Power Plant
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Asset Diagram:
System
Architecture
Diagrams View
18. Mission Scenario
• Action Diagram visualizes the Mission Scenario - includes all
actions the rover will perform on the surface of the Moon
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Action Diagram:
Mission Scenario
Diagrams View
19. Existing Prototype Design Analysis & Selection
• Created a Functional
Requirements checklist to
compare each prototype design
• Final design selected using AHP
methodology
• Additional equipment selected
to fill in gaps
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Notes Document:
Prototype
Options
Documents View
20. Bill of Materials
• BoM created to ensure all
parts acquired
• Asset Diagram to track
purchase details of BoM
• Tracking #’s, Order #’s,
etc.
• Entities can be traced
to see their data on
dashboards & reports
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Notes Document:
Bill of Materials
Documents View
21. Cost Acquisition
• Created a CBS Hierarchy Diagram to record hardware
costs
• Costs were rolled up with Database View to estimate the
total cost of the lunar rover’s hardware
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Hierarchy Chart:
CBS
Diagrams View
Entity View
22. Final Prototype Design
• Used Ansys CAD tool
(SpaceClaim) to modify LEO
Rover design
• Created 3-D print files
supported by SpaceClaim for
key additional components
(Task 2)
• Used Innoslate’s CAD Viewer to
store designs of final lunar
rover prototype
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
CAD Viewer:
Final Prototype Design
CAD Viewer
23. Final System Architecture
• “To-Be” System Architecture
• Ground communication
• Lunar Lander
• Excavation Site
• Delivery Site
• NASA Water Extraction Plant
• NASA Power Plant
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Asset Diagram:
System
Architecture
Diagrams View
24. Rover Route
• Using given site locations
& distances, mapped a
travel route for the rover
• Distances scaled down to
prototype’s size for
travel time calculations
(Task 3)
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
25. Excavation Scenario
• Modeled the excavation process the rover
completes each time it navigates to the Excavation
Site
• Simulations calculated the amount of regolith the
rover can excavate per excavation
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Action Diagram:
Excavation Scenario
Diagrams View
Action Diagram:
Mission Scenario
26. Task Two: Build
• Focuses on Hardware and Software Acquisition Phase
using Innoslate’s Modeling & Simulation and design
engineering tools Ansys, STK, Matlab, & Github
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
27. Task Two’s SOW
• Sub-Tasks:
• Build 3-D printer and print
additional equipment
• Assemble Lunar Rover
prototype
• Incorporate Innoslate’s
Digital Thread
• Produced SPECTER
prototype & Task Two’s
Final Report
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Action Diagram:
Lunar Rover SOW
Diagrams View
28. 3-D Printer & Components Construction
• Creality Ender 3-D printer
built & tested to print
additional materials (Task 1)
• Printed additional Excavator
Claw, Storage Unit, & Tire
Fenders
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Equipment:
Creality Ender
3-D Printer
Equipment:
Excavator Claw,
Storage Unit, &
Tire Fenders
29. LEO Rover & Robotic Arm Construction
• LEO Rover assembled upon
delivery
• Configured with
Raspberry Pi via laptop
• Robotic Arm modified from
COTS product
• Assembled with servo
motors & Raspberry Pi
• Mounted Excavator Claw
to grabber’s
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Equipment:
LEO Rover
Prototype
Equipment:
Excavator System
30. SPECTER Prototype • All components assembled
together to create SPEC
Innovation’s SPECTER
• “Space Prospect Exploration
Convoy Transporting &
Evaluating Regolith”
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Equipment:
SPECTER
SPECTER
UI:
SPECTER
Camera
View and
Control
31. SPECTER UI & GitHub Repositories
• GitHub repository created for
interfacing with SPECTER
• Firmware allows components to
perform functions and display
distance & obstacle information to
user
• Token used to access GitHub via
Innoslate
• View all project repositories on
GitHub Dashboard
• Issues created for each message
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Innoslate Repositories:
SPECTER UI and Firmware
GitHub Issue
GitHub
Access via
Innoslate
32. Rover Route Analysis
• Ansys AGI’s Systems Tool Kit (STK)
used to model rover’s travel route
on the lunar surface to calculate
time-to-reach mission goal
• Assumptions
• Same route between sites
• 100 kg excavation rate per hour
• 100 kg carrying capacity
• 10 excavation cycles per battery
charge
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
STK Model:
Rover Route
STK
33. STK - Innoslate Co-Simulation
• Action Diagram simulates the mission scenario with STK
• Represents one rover excavating regolith, transporting
regolith to Water Extraction Plant, and delivering water for
storage
• Runs until 10,000 kg of water is collected or rover reaches
365 Earth Days
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Action Diagram: One Rover Sequence Scenario
Diagrams View
34. STK - Innoslate Co-Simulation Cont’d
• Scripts added to Action entities to
communicate with STK software
• Initialize STK
• Create global variables to store
time-to-traverse values acquired in
STK
• Calculate duration components
(start & end times) and velocity
vector components
• Use duration components to
calculate travel times between
lunar sites
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Action Diagram: One Rover
Sequence Scenario
Diagrams View
Initialize STK
Travel Duration to Excavation
Site
35. Route Analysis Results
• 10.67 months to collect
10,000 kg of water using
previous assumptions
• Calculated total distance
of 3,500 km traveled
during mission
• Majority of mission will be
dedicated to excavation
and extraction processes
35
Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Action Diagram: One Rover
Sequence Scenario
Modeling &
Simulation
36. MATLAB Verification Results
• Results verified using a co-simulation with MATLAB
• Achieved via velocity vectors retrieved from STK
through Innoslate and calculated with a Matlab file
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Modeling &
Simulation
Action Diagram: One Rover
Sequence Scenario
37. Task Three: Test
• Focuses on Phases Integration & Test, Operations Test &
Evaluation and Transition phases using Innoslate’s Test
Center and integration tools Ansys and LabView
37
Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
38. Task Three’s SOW
• Sub-Tasks:
• V&V Requirements & Test Suites
• Lunar Environment Simulation
• Test SPECTER Prototype
• Conduct Performance &
Environmental Analysis
• Incorporate Innoslate’s Digital
Thread
• Produced Task Three’s Final
Report & Overall Final Report
38
Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Action Diagram:
Lunar Rover SOW
Diagrams View
39. Verification Testing
• Test suites were created in Innoslate’s Test Center
to verify the SPECTER prototype and subcomponent
functionality
• Test cases traced back to corresponding
requirements for verification
• Test suites verified the following:
• Robotic Arm and Servo Motor
• Excavator Claw
• LEO Rover Prototype
39
Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
40. Excavator Design Analysis
• Ansys’s SpaceClaim & Static Structural were used to
analyze and locate design flaws for the excavator claw
• Metrics calculated:
• Surface Area
• Volume
• Maximum Load Capacity
• Maximum Pressure Tolerance
• Metrics used for simulating Mission & Excavation
Scenario models
40
Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
41. Ansys SpaceClaim
• Used to analyze the excavator claw
design’s CAD drawing
• Calculated excavator claw’s surface
area and volume
• Modified density equation to
calculate the maximum load mass
capacity the excavator claw can
support per dig during excavation
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Max Load Mass
= Regolith Density *
Excavator Claw Volume
= 231.9 g of regolith
Ansys Spaceclaim:
Excavator Claw
Equation Editor
42. Ansys Static Structural
• Continued SpaceClaim analysis of excavator claw
• Determined excavator claw pressure tolerance
during excavation using varying load capacities
• 60% Load Capacity = 139 g
• 80% Load Capacity = 185 g
• Utilized Pressure Equation for each partial load
capacity to calculate the pressure tolerances the
excavator claw can endure during the lunar rover
mission
42
Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
43. Ansys Static Structural Cont’d
• Pressure = Mass Load Capacity *
Lunar Gravity * Excavator Claw
Surface Area
• 60% = 3.355 Pa
• 80% = 4.466 Pa
• Identified pressure points and
area where the excavator claw
will be impacted during
excavation
43
Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Ansys Static Structural:
Excavator Claw
Equation Editor
44. Excavator Analysis Results
• Used to perform structural analysis
of the excavator design
• Determines strength and stability
of the design under loading
conditions
• Analysis conducted for both
carrying capacities:
• Strain Test
• Stress Test
• Deformation Test
44
Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
45. LEO Rover Testing
• Test Suite for LEO Rover
45
Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
46. Validation Testing
• Test plans created in Documents View before
simulating lunar environmental conditions to
validate the SPECTER prototype
• Test plans created to validate the following
functionality:
• Navigation - Speeds & travel times
• Excavation - Regolith excavation & collection
• Storage - Materials containment & protection
• Equipment Protection - Dust mitigation
46
Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
47. Performance Analysis
• Conducted to validate SPECTER’s functionality and
efficiency
• Parameters calculated:
• Total landed mass
• Rover equipment
• NASA Water Extraction Plant
• Total power consumption
• Rover
• NASA Water Extraction Plant
• Total water mass delivered
47
Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
48. Landed Mass Analysis
• LEO Rover prototype has a mass of 6 kg and a carrying
capacity of 5 kg, resulting in a ratio of 5:6
• Full-size rover should carry 100 kg, using the 5:6 ratio
estimates the rover body mass of 120 kg
• Prototype to full-size rover mass ratio of 1:20
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Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Prototype
Mass
Full-Size
Mass
Prototype to Full-
Size Ratio
Carrying Capacity 5 kg 100 kg 20:1
Rover Body 6 kg 120 kg
Carrying Capacity
to Mass Ratio
5:6
49. Landed Mass Analysis Cont’d
• The following masses have also been added to the rover’s
body for excavation functionality
• Each piece of equipment reduces total carrying capacity (5
kg) and by consequence also reduces how much regolith or
water it can store at any given time in the mission
49
Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Equipment Prototype
Mass
Mass to Carrying
Capacity Ratio
Scaled, Full-
Size Mass
Robot Arm 1 kg 1:5 20 kg
Storage Unit < 1 kg < 1:5 < 20 kg
Battery < 1 kg < 1:5 < 20 kg
Solar Panels 0.3 kg 0.3:5 6 kg
Regolith Mass < 3 kg < 3:5 < 60 kg
The full-size lunar
rover can hold an
additional mass of
less than 60 kg at any
point in the mission
* Max Carrying Capacity
< 66 kg
Total Mass
50. Landed Mass Analysis Summary
• In conclusion, the total mass of the full-size rover,
including its supporting equipment, is <186 kg
• The NASA Water Extraction Plant has a landed mass of
700 kg
• Therefore, the total mass to be landed on the surface of
the Moon for this mission is estimated to be 886 kg
50
Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
51. Environmental Analysis
• Conducted to ensure SPECTER will withstand extreme
environmental conditions on the surface of the Moon
• Mitigations outlined for each environmental risk:
• Low temperatures
• Warm electronics box encloses rover avionics
• Reduced gravity
• Wide set body frame & rugged wheels for stabilization
• Vacuum
• Non-pneumatic tires
• Lunar dust
• Tire fenders to prevent dust from entering rover body
51
Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
Documents View
53. Thursday, October 12th, 2023 at 2:00 PM ET
Program Management in MBSE
Mark Your
Calendars
53
Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia
54. SPEC Innovations
@SPECInnovations
Innoslate Users Group
Innoslate.com/blog
571.485.7800
innoslate.com
54
Thank you!
Visit cloud.innoslate.com for a trial.
Proprietary of SPEC Innovations® September 21, 2023 Andy Tapia