Participe deste webinar para aprender sobre o uso de escaneamento LiDAR portátil e da tecnologia SLAM para criação de modelos 3D em minutos.
Principais pontos:
Watch this webinar to learn how educational institutions are inspiring the next generation of surveyors using GeoSLAM handheld LiDAR scanners.
Hear from three guest speakers from different Universities and Colleges across the world discussing their own individual experiences uses handheld LiDAR scanners to support education and inspire their students.
Key takeaways:
Monitoring construction progress comes with many challenges and we’d like to help you solve them with SLAM mapping. Watch this webinar to learn how to track the progress of small and large construction projects using mobile LiDAR and automated analytics.
Key takeaways:
Handheld laser scanners can determine accurate stockpile volume and tonnage measurements without the need for GPS. Walk and scan, or attach the scanner to a drone, pole, or vehicle for remote monitoring of hazardous environments. GeoSLAM’s Volumes software automates data processing to turn your scan data into actionable graphical and numerical data for real-time decision making to effectively monitor and manage your stockpiles.
Key takeaways:
Congleton, UK
25 Minutes
100m x 100m Area
Micro Hydro System
Surveying
How Using Micro Hydro Power Generation Produces Clean Energy
Discussions around climate change, and how we can lessen our environmental impact, have become increasingly more relevant in recent years. This has driven some companies and communities to explore different ways of producing renewable technologies, to reduce dependency on fossil fuels. One method for gathering renewable energy is by using Micro Hydro power generation.
Hydroelectric power generation relies on a constant water cycle. Nature is perpetually replenishing this, making it a good clean source of energy. This method of producing electricity using hydroelectric power generation is what the Congleton Hydro Project has set out to achieve.
Dane Valley Community Energy Ltd (DVCE), a non-profit community benefit society, developed and constructed the project. DVCE is a volunteer led organisation, run by a small team of volunteer directors, who have all worked within Engineering and Management Companies. Funded by the community of Congleton, the project aims to generate enough carbon-free electricity, using hydroelectric power generation, to power 60 homes within this local area.
For this project, the team set up a Micro-Hydro System, including an Archimedean Screw. The hydroelectric energy is generated by the nearby Havannah Weir River. The energy is extracted by using the water flow to turn the Archimedean Screw, which is connected to an electrical generator. Having constructed the whole system in just 12 months, DVCE were able to produce their first load of electricity in a relatively short space of time.
The area surrounding the Archimedean Screw required significant and extensive ground works, together with a substantial walkway, powerhouse, and piped water inlet system. Whilst designing the project, it became apparent that a core worry would be movement of the terrain, due to weather and time. As a result, they decided they needed to frequently monitor this surrounding area.
The Archimedean Screw has a life expectancy of 40 years, and the team hope to make returns on their investments in the next 20 years. In addition to generating clean energy, a core objective is to generate an annual surplus, which will fund the local community. It is therefore essential that any change in land stability does not impact the planned generation. The team decided that a monitoring system would help identify any movement so that timely corrective action could be taken.
Via a family member (Dr Jonathan Owen), the team acquired a 3D handheld laser scanner, GeoSLAM’s ZEB Go. The handheld nature of the scanner will mean they can track land movement and vegetation rates over time. In addition, they can map the on-site building to help with facility management and storage.
GeoSLAM Connect’s Stop and Go Alignment can help the team align these scans, as it would give them a more accurate view of the exterior and interior areas together.
GeoSLAM technology is ideal for this type of work, due to the uneven terrain. The mobile device can map an area by simply walking around, whereas systems that require a more complicated setup would struggle to scan the area promptly.
The ZEB Go’s speed of capture enables DVCE to carry out scans of the 100m x 100m area surrounding the Micro-Hydro System in just 25 minutes. As the team are detecting change in the ground movements and vegetation, they can frequently scan the area to track any issues that may arise. A great way to document the area, as frequently as DVCE need.
The ZEB Go’s ease of use means the team would not need to be survey trained for the scan, unlike more complicated to use scanning hardware. Further, the ZEB Go’s capabilities save all the team from having to repeatedly return to the site, as just one individual is needed.
The team were impressed with the ease that the ZEB Go was used to survey the complete site, with no tripods being needed and no complicated set up.
Whilst capturing the data, the team laid down control points using a GNSS receiver. This allowed the team to georeference the data using GeoSLAM’s software. Now the surveying pins are in place, the team can simply georeference the data for each scan they conduct.
Implementing control points was important for DVCE as it allows for clear comparisons between multiple scans of the same area. Georeferenced data places the scan in the real world and makes the data even more accurate. This will benefit the team as they continue to scan the Micro-Hydro System’s surrounding areas in the future and detect any gradual change.
The ZEB Go delivered an accurate 3D replica of the area that continues to help DVCE in their project. The versatility of the ZEB Go and resulting point cloud means the team can look into new ways to interpret the data – protecting this vital equipment for both the environment and local community.
Jonathon was the lucky winner of our ‘Win a ZEB Go Competition’ at GeoBusiness 2021.
If you’d like to learn more about how GeoSLAM solutions can help you, submit the form below.
Handheld laser scanning has become a crucial tool for many businesses who need to collect geospatial data. Compared to the more traditional methods, handheld laser scanning is considerably more efficient and makes it much easier to navigate through difficult spaces such as underground or narrow passages. GeoSLAM handheld LiDAR mapping solutions use next generation SLAM technology to simultaneously localize and map a space up to 10 times faster than traditional methods.
If you’re new to handheld laser scanning or think your company could benefit from this technology, then this webinar is for you.
Key takeaways:
Control points are points within a given area that have known coordinates. They are a key tool in the geospatial industry and can be utilised in a variety of ways, including georeferencing point clouds and aligning aerial images to terrestrial data. By using control points, surveyors are able to accurately map larger areas and position overlapping surveys of an area together. They can also be used in non-geospatial industries, such as construction and mining, to show clear temporal comparisons between multiple surveys of the same area. This method of georeferencing is also referred to as adjust to control.
Previously, checkerboards and spherical targets have been used as control markers – these items are captured in surveys and can be identified for georeferencing or aligning. The main drawback with these methods is that they rely heavily on human interpretation when processing, meaning that the processed datasets may be susceptible to an increased amount of error.
When capturing handheld surveys, GeoSLAM systems are able to collect reference points. These can then be matched with known control points to reference scans and increase the level of accuracy.
Easily reference point clouds and produce reports highlighting accuracy values.
Regularly monitor site operations (e.g. stockpiles) and hazards.
Compare changes over time and map progress onto predetermined CAD/BIM models.
Once georeferenced using control points, point clouds can be optimised further using leading third party software:
For more information about our third party partnerships, head to our integrations page.
Beck Engineering, an Australian mining engineering consultancy specialising in mining and rock mechanics analysis, needs to rapidly map mines under intense time constraints using versatile technology which is adaptable to any environment. GeoSLAM’s handheld mobile mapping solution was chosen as it is compact, portable and delivers a high level of accuracy. With GeoSLAM’s “go-anywhere” 3D technology in hand, Beck Engineering has been able to supply invaluable data regarding the direct effects of mining to better understand the implications of a deforming rock mass. Beck Engineering is now able to accurately measure the shape of an excavation or tunnel over time. As a result, tunnels are safer, better designed and more cost efficient.
We have continued to use GeoSLAM products as they have proven to be affordable, lightweight and sufficiently robust devices for their application underground. GeoSLAM continues to produce a high-quality device that is at the forefront of practical mobile laser scanning devices.
– Evan Jones, Senior Rock Mechanics Engineer at Beck
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In this webinar we are joined by GeoSLAM customer SLA Architects. Jordan JD Dixon is an Architect who specialises in renovation work. SLA wants to stay on the cutting edge of technology, and were using some of the traditional tools like laser distance measures and phone photography, their goal was to improve on accuracy.
Key takeaways:
Last Updated on 25th April 2022 What is LiDAR data What is… Read More »What is LiDAR data
Industry
Mining
Scan time
10 mins per
scan
Location
Iowa,
USA
Size
109
stockpiles
Scanned
Salt
stockpiles
Words by Tina Greensfield | Iowa DOT
At Iowa State DOT (Department of Transport) it is our job to make sure over 24,000 miles of road remains clear and safe to use in winter. We have 109 maintenance areas across the state where stockpiles of salt are kept for distribution. Each facility can each hold up to 1200 tonnes.
Throughout winter salt is loaded onto trucks and spread on roads to stop the surface from freezing. Pay loads are measured in weight as salt is loaded onto spreading trucks and supplies are depleted. But as the salt is used, there is a clear discrepancy between the volume of salt in the shed and the paper records – it is not reliable to just look inside a half-empty shed and assess how much material remains.
If volume of salt is too low or we don’t know how much is available, we may find ourselves forced to make snap decisions about redistribution which is both costly to the state and inconvenient to residents and businesses alike.
We needed another solution and following a few severe winters where salt reserves around the country ran out, the Great Lakes froze and shipments were halted we were determined to invest in a reliable measuring process for managing stockpiles in future, which led us to a GeoSLAM volumes solution.
“In terms of speed and accuracy, this was a real game changer for us!“
Using the handheld SLAM device, we can produce a three-dimensional model of the stockpile in just a few minutes. We have never experienced this level of accuracy before and capturing data was as easy as surveying the site with the naked eye.
The surface of the stockpile is very uneven with lumps on one side and big cliffs on the other where loaders have dug-out salt for spreading, in the past our ‘best guess’ used to involve looking at the stockpile against some markers on the walls of the shed which provided limited accuracy to say the least, so this was a real game changer for us.
Data is then processed using GeoSLAM Hub and imported to the volumes software. As the granules vary in size, we apply a bulk density value as well as defining a floor and perimeter of each pile calculate the total volume of the stockpile in tonnes.
From start to end, the entire process took around twenty minutes. We now have depot staff going out and scanning the stockpiles regularly. This new level of insight means we don’t have to worry about compromising road users’ safety across the state of Iowa as we always know what volume of salt we have available to use.
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Known control points are captured during a scan and automatically compared and matched to the associated coordinates during the processing stage in Connect. A rigid and/or a non-rigid adjustment can be made to the dataset and an accuracy report is exported, highlighting how successful the transformation was. Users can now view and manipulate the processing parameters to ensure a more accurate match between points.
Align multiple scans using a combination of manual and automatic processes. This workflow can be performed on two or more scans in the same project. Users have a choice to export the aligned scans separately or as a single merged point cloud.
Common data capture scenarios, such as UAV, outdoor, indoor, linear, and vehicle, have been characterised in Connect and data processing pre-sets for each environment have been defined. These can be selected at the beginning of the data processing stage allowing this process to be highly simplified.
Both methods match the scan data from a ZEB Locate system with the GPS data collected from the antenna to georeference the point cloud. When a scan starts and ends in the same place, this is classed as “closed loop”. “Open loop” is when the start and end position of a scan are in different locations. Standard SLAM practices apply to both methods of data collection.
Open Loop SLAM for the ZEB Locate is available on request – let’s talk about it.
Common static points are captured during several scans meaning that these datasets can be automatically aligned. A single point cloud is then exported as if the data was captured in a single scan.
Horizontal and vertical slices can be taken from any location within the point cloud. Horizontal floor slices can also be automatically taken at a given height above the floor as defined in the processing stage.
Mostly used in the construction industry, multiple point clouds can be compared and any areas that have changed are automatically highlighted. Point clouds can also be compared with CAD models – for instance to track progress on a construction site – and PDF reports can be generated to present this information.
Some SLAM software algorithms have been made available as open-source on the internet, but they are purely algorithms and not a product that you can take and use off-the-shelf. SLAM is most successful when it is tightly coupled and designed with specific hardware in mind. A generic SLAM cannot perform as well as one that has been specifically designed for a purpose.
Visual SLAM is closer to the way humans navigate the world, which is why it’s popular with robotic navigation. But in the same vein, vSLAM will have the same image-capture challenges as humans do, for example not being able to look into direct sunlight, or not having enough contrast between the objects picked up in the image. These can be overcome indoors, however, you may need to map a forest, tunnel or urban canyon. While SLAM technologies don’t rely on remote data (meaning you can scan areas where there is no GPS), you do need to ensure the SLAM technology you chose operate well inside, outside, in daylight and darkness.
Mapping a property is time-critical. Ideally, you want to make a single visit and gather sufficient data to create a highly accurate 3D model. Ensure the software you choose transforms 3D point cloud data into actionable information in real-time. This allows you to view and interrogate your data whilst still in the field, and make any adjustments, or collect missed data, then and there.
If you’re trying to map an enclosed environment (e.g. tunnel, mine) or a complex, difficult-to-access space such as a heritage building with tight stairwells and uneven floors, you need to use fully-mobile, adaptable technology. Wheel-based systems, often used with the vSLAM camera, will struggle with access. Handheld devices or LiDAR scanners that can be attached to a drone or pole and still deliver accurate results in a rugged environment are best for navigating hazardous spaces.
While vSLAM is able to provide a qualitative high-level map and sense of the surrounding features, if you’re needing survey-quality accuracy and rich-feature tracking at a local level, you’ll need to consider LiDAR. Cameras require a high-frame-rate and high processing to reconcile data sources and a potential error in visual SLAM is reprojection error, which is the difference between the perceived location of each setpoint
and the actual setpoint.
In order to deliver the depth required for high-quality data, a number of depth-sensing cameras are needed with a strong field of view. In most cases, this isn’t possible, especially as cameras with high processing capabilities typically require larger batteries which weigh down airborne scanners, or limit the time of flight. LiDAR is both faster and more accurate than vSLAM, and can deliver detailed point clouds without expensive (and timely) camera processing.
