Favoring Opensource Technologies for French Fire Brigades
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| Number of Parts | 351 | |
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| License | CC Attribution 3.0 Unported: You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor. | |
| Identifiers | 10.5446/69171 (DOI) | |
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| Production Year | 2022 |
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00:00
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Transcript: English(auto-generated)
00:00
Hello, so I'm going to talk about working, the work that has been done with open source technologies for French fire brigades. So the way emergencies work in France, this is the following, there are around 100 different departments which are called French regions, and each region will decide on what kind
00:25
of software they're going to use, they're going to have different workflows, many different lingos, that means they haven't got the same names for the same trucks. And of course, each department is different, you're not going to have the same missions in Paris than you have in the Alps or in the centre of France.
00:46
Some department will have GIS teams and GIS data, some of those won't have anything. Also one of the most important things is nothing is centralised, that means when you're going to have an operation which is on several departments, it's complicated to coordinate
01:03
and to share information in between these entities, like it was the case earlier in the summer, we had big fires. And also at the moment there's no data sharing and very little feedback. So what is Nexus? It's an ambitious web-oriented software that is being built for the past three years.
01:28
And what it does, it uses GIS data at its core, so from the person calling it will be located using the GPS and advanced mobile location. It will use spatial data to determine in what area the caller is, does it need special
01:45
lorries if it's in a flooding area, if it's next to big buildings and so on. And it uses routing in order to calculate the fastest route depending on the size of the fire engine, so you can't have a two-tonne lorry on a one-tonne bridge, so that
02:04
takes that into account. And more importantly, it makes all departments have the same application, the same lingo and the same database structure, and also like it's going to save lives, it needs to be optimized and have fast calculation time.
02:22
And all this is done using open source technology. So the main application uses open layers to display and create the data on the website. It will use PostGIS to store data and query data. And it uses PG routing for fast calculations.
02:43
There's a special talk from one of my colleagues on PG routing later during the week. GeoServer and bare maps are also used to render this data, so we've developed a special cloud-optimized GeoServer that also is a talk on this later on, and the
03:03
same for bare maps, which renders vector tiles. Also, we use our doc, which is an open source technology as well, for full text address search. Locally, then there's lots of work to be done, because like I said, all departments
03:21
aren't the same, so we've done many workshops and we have regular meetings to build the structure of the GIS data and have the same model based. What that does is enables us to use the same software locally for each department, so we use QGIS and PostGIS to edit the data, and of course, as everybody's using the same
03:47
software and the same data structure, you can share forms, QGIS projects and models. In conclusion, a very interesting project. It will reduce the complexity, because it will be one single application.
04:03
In some departments, they have five different software, and with Nexus, it will be one single one. As I said before, we're going to have a sign language, so each five departments will use the same name for this library, the same name for this mission. Data will be shared, and there will be lots of feedback that is not used at the moment,
04:25
and what's quite interesting is that it proves that you can use open source technologies in a scalable way in order to try and save lives. Thank you very much.