Reflection – Mind Mapping 

 Challenge   Working for an electricity company with 8 million customers our engineering team   handles a number of critical projects to reduce distribution network risk and   improve performance . We are measured by the number of customer interruptions   and customer minutes lost per day , week and year . In a team of 12 we have 26   ongoing projects between us of varying lengths , budget and scope . All projects   are funded either by the innovation budget or by the capital budget but the   intention of every project is to improve the network performance and the service   supplied to customers .    We utilize LiDAR ( Light Detection and Ranging ) technology to map and monitor   the electricity network from a light aircraft and construct work plans based on the   findings and measurements takes . It has recently been highlighted to us however   that we have not yet utilized the benefits of satellite imagery freely available to us   through the European Space Agency ( ESA ) initiative called Copernicus that can   be downloaded every two days approximately , depending on the orbit time of the   satellite . We have vast amounts of data stored in several applications . NetMap   contains network specific information and maps , PowerON contains live network   data and SAP contains all network specific data . As a team we want to develop   some ideas of how we can tap into the potential satellite imagery offers , to the   benefit of the network and our customers .     Selection    Mind - mapping helps organise the mass of information we have collected and draw   insights from it about the qualities of the innovations we need . These design   criteria are then used to generate ideas in the next stage . Mind - mapping is   intuitive , creative , visual and engaging . Through mind mapping we extract   meaning from data in a way that lets patterns and insights emerge , patterns and   insights we might otherwise have missed as we sorted through the data to   generate a report . Mind mapping builds a current mind about current reality and   thus decreases people ’s allegiance to the solutions they had going into the   project . The challenges faced after gathering data in the ‘ What is ? ’ stage are   processing all this information , using it to generate better ideas and aligning the   organisation around the ideas we choose to advance .      Application   To apply mind mapping we first had to determine which network assets can be   seen from satellites and which were simply too small to identify . We also had to   look at what could potentially affect network assets which could be seen from   space . At present the best resolution we can get from freely available satellite   imagery is from Sentinel-2 . This is one of several families of satellites which have   been launched by the ESA and imagery can be viewed using SNAP which is a   software package available from the ESA .    We gathered our thoughts on a whiteboard drawing , first looking at assets and   then looking at anything that can affect assets . The idea that there are no wrong   answers was stressed to ensure the picture was broad and all possibilities were   considered . The map of potential assets that can be viewed from space included 

 ground - mounted transformers , pole transformers , primary substations , grid   substations , towers , poles , cable pits , link boxes and cables . While not all assets   are at present visible to satellites , the entire list was considered as technology is   advancing rapidly and some items may be revisited in the future . We then   compiled a map of anything that could affect the networks assets such as trees   that can fall on electricity cables , climbable trees , buildings in close proximity to   the network , machinery or storage items in close proximity , gas leaks , fire and   weather conditions including wind and floods .     Insight    Through the application of mind mapping and studying data and trends we were   able to narrow down our focus initially to specific areas where we are having   reoccurring issues on the electricity network and we believe satellite imagery can   bring strong benefits . Data analysis has shown that approximately 30 % of faults   on the network are tree related and identifying where these high risk trees are   before they fall on , or interfere with the network has long been a challenge for the   team . Photosynthesising trees emit infrared light which is visible to satellites and   dead trees which are the most likely to fall in high winds are visible to imagery as   they are not photosynthesising . Closely following trees in second was faults   caused by wear and tear with 25 % . We can potentially see several assets with   satellite imagery so there are options there to investigate further to determine the   potential and maximise benefits .     Approach   Revisiting the task again , i believe i would adopt an ever broader approach . We   are all aware of rising sea levels and the effects of global warming . There are   approximately 50,000 cable pits underground in London at varying heights above   sea level . A rise in sea levels of even 1 meter could cause catastrophic effects to   the electricity supply in London . Post storm movement of assets such as towers or   poles could potentially be monitored using satellite imagery . I believe that   revisiting the same challenge and including a more diverse group , not just   engineers , might tease out more potential ideas and ways which we can research   and investigate further . As David Kelley , founder of IDEO once said , “ When I want   to do something analytical , I make a list , when I ’m trying to do something creative ,   I make a mind - map . ” 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: Reflection – Mind Mapping 

 Challenge   Working for an electricity company with 8 million customers our engineering team   handles a number of critical projects to reduce distribution network risk and   improve performance . We are measured by the number of customer interruptions   and customer minutes lost per day , week and year . In a team of 12 we have 26   ongoing projects between us of varying lengths , budget and scope . All projects   are funded either by the innovation budget or by the capital budget but the   intention of every project is to improve the network performance and the service   supplied to customers .    We utilize LiDAR ( Light Detection and Ranging ) technology to map and monitor   the electricity network from a light aircraft and construct work plans based on the   findings and measurements takes . It has recently been highlighted to us however   that we have not yet utilized the benefits of satellite imagery freely available to us   through the European Space Agency ( ESA ) initiative called Copernicus that can   be downloaded every two days approximately , depending on the orbit time of the   satellite . We have vast amounts of data stored in several applications . NetMap   contains network specific information and maps , PowerON contains live network   data and SAP contains all network specific data . As a team we want to develop   some ideas of how we can tap into the potential satellite imagery offers , to the   benefit of the network and our customers .     Selection    Mind - mapping helps organise the mass of information we have collected and draw   insights from it about the qualities of the innovations we need . These design   criteria are then used to generate ideas in the next stage . Mind - mapping is   intuitive , creative , visual and engaging . Through mind mapping we extract   meaning from data in a way that lets patterns and insights emerge , patterns and   insights we might otherwise have missed as we sorted through the data to   generate a report . Mind mapping builds a current mind about current reality and   thus decreases people ’s allegiance to the solutions they had going into the   project . The challenges faced after gathering data in the ‘ What is ? ’ stage are   processing all this information , using it to generate better ideas and aligning the   organisation around the ideas we choose to advance .      Application   To apply mind mapping we first had to determine which network assets can be   seen from satellites and which were simply too small to identify . We also had to   look at what could potentially affect network assets which could be seen from   space . At present the best resolution we can get from freely available satellite   imagery is from Sentinel-2 . This is one of several families of satellites which have   been launched by the ESA and imagery can be viewed using SNAP which is a   software package available from the ESA .    We gathered our thoughts on a whiteboard drawing , first looking at assets and   then looking at anything that can affect assets . The idea that there are no wrong   answers was stressed to ensure the picture was broad and all possibilities were   considered . The map of potential assets that can be viewed from space included 

 ground - mounted transformers , pole transformers , primary substations , grid   substations , towers , poles , cable pits , link boxes and cables . While not all assets   are at present visible to satellites , the entire list was considered as technology is   advancing rapidly and some items may be revisited in the future . We then   compiled a map of anything that could affect the networks assets such as trees   that can fall on electricity cables , climbable trees , buildings in close proximity to   the network , machinery or storage items in close proximity , gas leaks , fire and   weather conditions including wind and floods .     Insight    Through the application of mind mapping and studying data and trends we were   able to narrow down our focus initially to specific areas where we are having   reoccurring issues on the electricity network and we believe satellite imagery can   bring strong benefits . Data analysis has shown that approximately 30 % of faults   on the network are tree related and identifying where these high risk trees are   before they fall on , or interfere with the network has long been a challenge for the   team . Photosynthesising trees emit infrared light which is visible to satellites and   dead trees which are the most likely to fall in high winds are visible to imagery as   they are not photosynthesising . Closely following trees in second was faults   caused by wear and tear with 25 % . We can potentially see several assets with   satellite imagery so there are options there to investigate further to determine the   potential and maximise benefits .     Approach   Revisiting the task again , i believe i would adopt an ever broader approach . We   are all aware of rising sea levels and the effects of global warming . There are   approximately 50,000 cable pits underground in London at varying heights above   sea level . A rise in sea levels of even 1 meter could cause catastrophic effects to   the electricity supply in London . Post storm movement of assets such as towers or   poles could potentially be monitored using satellite imagery . I believe that   revisiting the same challenge and including a more diverse group , not just   engineers , might tease out more potential ideas and ways which we can research   and investigate further . As David Kelley , founder of IDEO once said , “ When I want   to do something analytical , I make a list , when I ’m trying to do something creative ,   I make a mind - map . ”
### Output: 