Showing posts with label Precision Agriculture. Show all posts
Showing posts with label Precision Agriculture. Show all posts

Tuesday, September 20, 2016

Activity 2-4: Weeding Out a Solution

Scenario
A UAS is to be designed for precision crop-dusting. In the middle of the design process, the system is found to be overweight.
         Two subsystems – 1) Guidance, Navigation & Control [flying correctly] and 2) Payload delivery [spraying correctly] have attempted to save costs by purchasing off-the-shelf hardware, rather than a custom design, resulting in both going over their originally allotted weight budgets. Each team has suggested that the OTHER team reduce weight to compensate.
         The UAS will not be able to carry sufficient weight to spread the specified (Marketing has already talked this up to customers) amount of fertilizer over the specified area without cutting into the fuel margin. The safety engineers are uncomfortable with the idea of changing the fuel margin at all.
Write a response describing how you, as the Systems Engineer, would go about resolving this issue. Use your imagination, and try to capture what you would really do. Take into account and express in your writing the things you’ve learned so far in this module: What are your considerations? What are your priorities? What do you think about the future prospects for the “next generation, enhanced” version of the system as a result of your approach?
Solution
In regards to the scenario above, there are multiple responsibilities that I would have as the systems engineer responsible for resolving the issue between the guidance, navigation and control team and the payload delivery team. The three overarching roles that an ideal systems engineer must assume are; intermediary between design teams, the decision maker when conflicts occur between teams’ and final authority on whether a is ready to hand off to the costumer. Within each role, I must also examine and understand the requirements set forth by the customer, provide clear and concise communication between design teams, and be prepared to take charge of the project as a whole to ensure its on time, well designed, and meets expectations (Embry Riddle Aeronautical University, 2015). Below I have outlined how I would resolve to current issue by analyzing and describing how I would accomplish each one of my three overarching responsibilities.
Systems Engineer as an Intermediary
            As the systems engineer I would recognize that the two design teams that are arguing are responsible for very different systems that require very unique technical knowledge to accomplish. The skills associated with developing guidance and navigation are very technical with much of the detail in sensors and computer coding. The payload delivery design team would be more focused on the mechanical aspect of the project. The Payload design team may also feel a certain level of self-proclaimed importance due to the fact that the entire project is essentially built to perform the single task that they are reasonable for. It’s this understanding of not only the requirements and project, but it’s the interpersonal skills and understanding of the design teams as people that could help me perform my duties as an intermediary. I would work to educate both design teams as to how important the other teams contribution to the total project is and perhaps encourage them to take a minute and put themselves in the others shoes. Here we could pass ideas between the design teams and ensure both teams have a good understanding of how far they should be willing to flex in order to ensure the project completion stays the main focus. Perhaps this alone would invigorate one or both teams to seek smart and cost effective solutions to reduce weight from their respective components. 
Systems Engineer as the Decision Maker
            If acting as the intermediary failed to result in a constructive resolution to the overweight problem between both design teams, I would have to utilize the decision making responsibility of my job to seek resolution to the conflict. In general, I would have to take a very detailed look at both the requirements and the costs associated with each design teams’ components and determine for the teams how they would resolve the conflict. I would have to have enough technically knowledge of both subsystems in order to make smart and well educated decisions (System engineer vs. system architect, 2011, p. 73 sec.). Perhaps I could utilize my knowledge of the system as a whole to help both design teams work a creative solution that would lower the weight of both components. Perhaps the off the shelf systems that both teams used contained their own power control unit, but the design team associated with power control told me that they would be able to handle the power control requirements of each of the subsystems in question and both teams would be able to reduce the weight of the system through this efficiency. I would tell both teams to integrate into the main power control unit and then the conflict would be resolved. This example not only demonstrates my role as decision maker, but also reinforces my role as intermediary between design teams at the same time.
Systems Engineer as the Final Authority
            In regards to the above scenario, my role as final authority ties into all other aspects of my job as systems engineer due to the fact that my adherence to satisfying the original requirements is what sparked the conflict in the first place. If I did not take my role as the final authority seriously, I may have aloud to teams to continue forward with their current and produce a final product that was not capable of what it was advertised to do. This would hinder both current and future sales potential.
            The above responsibilities often run concurrently and continually while performing duties as a systems engineer therefore it’s essential to continually relook the requirements and current technology in order to stay one step ahead of the design process. Looking at the iterative design process, the systems engineer is in the best position to fuse future technologies into the project for the next version of the system. Perhaps in the future, a light weight navigation computer may become cheaper and therefore relieve the weight issue. On the other hand, I could reduce the allowed weight of both design teams and increase the payload capability which could make our product better than the competition. Another option would be to keep weight requirements and payload capacity the same while decreasing system cost for future iterations. A systems engineer should balance cost, performance, and capability when looking forward to future versions of systems in order to ensure relevancy in the current and future markets (Dahmann, n.d).     

References
Dahmann, J. (n.d.). A Model of Systems Engineering in a System of Systems Context. Retrieved September 19, 2016, from http://www.acq.osd.mil/se/docs/2008-04-04_CSER-Paper_Dahmann-etal-SoS.pdf  
Embry Riddle Aeronautical University. (2015). ASCI-530 unmanned systems: Module 2 - Global system design concepts, requirements and specification overview.
System engineer vs. system architect (2011). [Motion Picture]. Retrieved Sept 19, 2016, from
https://www.youtube.com/watch?v=wWnESjf4ajQ


Thursday, August 11, 2016

UAS Strengths and Weaknesses

In the world of Military Intelligence there are many methods of intelligence collection that span well beyond typical Electro Optic Infrared (EO/IR) imagery and real time HD video. The use of hyperspectral imagery has long been a great source of information that could either stand alone or even augment other forms of imagery. Hyperspectral imagery allows people to see beyond the surface of what they are looking at by examining the specific portion of the electromagnetic spectrum that an examined material is reflecting (Richter, n.d). This data, when compared to databases, can tell the observer exactly what material they are looking at, how much moisture is in soil, and even what types of minerals are present in top soil. From a defense perspective this can help determine the difference between true vegetation and camouflage or even if some kind of metal device has been planted in the ground. From a civil perspective this imagery can help farmers determine crop viability and soil conditions in support of precision agriculture.

The military currently utilizes satellites, manned aircraft and some large UASs controlled at the national level to gather most of their hyperspectral imagery (Military & Aerospace Electronics, 2013).  This means if a particular unit wants recently collected hyperspectral imagery of an area it will need to send requests up the chain and hope that the request can be processed in a timely mater. The lag between request and collection often causes users to end up with outdated products or no products at all.

As hyperspectral sensors become cheaper, smaller, and more accessible they are starting to make their way into the hands of the public. One great example of putting the power of hyperspectral sensors into the hands of the public is in the form of the Precision Hawk. The Precision Hawk is a small UAS that is hand launched and flown completely autonomously around a preassigned area. Upon landing the system uploads to a standard laptop and processes the data almost immediately. This UAS is well inside the price range of a small scale farmer and provides high definition hyperspectral imagery to a user for a very small cost and with little training or skill (Precision Hawk In., 2016).



In order to mitigate some of the challenges that exist in obtaining military hyperspectral imagery, the military is looking into making smaller and more accessible collection platforms that can be pushed down to a more tactical level. Taking notes from small platforms like the Precision Hawk, perhaps a hand launched small UAS like the MQ-11 Raven can be equipped with advanced hyperspectral sensors. Defense sensor developers are even working on ground based hyperspectral sensors that could be put on small tactical vehicles (Military & Aerospace Electronics, 2013).    


Resources
Military & Aerospace Electronics. (2013, January 1). Hyperspectral imaging sensors come into their own for aerospace and defense applications. Retrieved August 11, 2016, from http://www.militaryaerospace.com/articles/print/volume-24/issue-1/product-intelligence/hyperspectral-imaging-sensors-come-into-their-own-for-aerospace-.html

Precision Hawk Inc. (2016). EMPOWERING THE COMMERCIAL DRONE INDUSTRY. Retrieved August 11, 2016, from http://www.precisionhawk.com/  

Richter, R. (n.d.). Hyperspectral Sensors for Military Applications. Retrieved August 11, 2016, from http://www.dtic.mil/cgi-bin/GetTRDoc?AD=ADA469649