Here are the latest version details for Orbitas Field and Orbitas RMS. If you have any questions of compatibility please contact us.
Dennis Heath – July 2023
Spatial data collection plays a crucial role in effectively managing and planning utility infrastructure in the United States. This article will highlight the significance of precise data collection, focusing on the use of mobile Global Navigation Satellite System (GNSS) hardware data collection. We will explore how accurate spatial data collection improves infrastructure management and planning, and the benefits it brings to the industry. Additionally, we will delve into the concept of data collection with GNSS, its capabilities, and the accuracies it can provide.
Accurate spatial data collection is essential for utilities as it forms the foundation for effective infrastructure management. Precise data ensures that utilities have an accurate representation of their infrastructure assets, including utility poles, cables, pipelines, valves, and meters. This information enables utilities to make informed decisions regarding maintenance, repairs, upgrades, and expansions. Essentially, spatial accuracy of an organization’s infrastructure provides a comprehensive understanding of the utility network, facilitating efficient management practices and minimizing disruptions.
Mobile GNSS hardware data collection involves using advanced satellite positioning systems to capture precise location information in the field. GNSS technology utilizes a network of satellites to determine accurate position coordinates. Mobile GNSS hardware refers to portable devices equipped with GNSS receivers, which can be carried or worn by utility stakeholders, surveyors, engineers, and GIS practitioners during data collection activities. These devices, when combined with suitable software applications, provide a powerful solution for capturing high-accuracy spatial data in real-time.
Mobile GNSS hardware data collection offers several advantages for utilities in terms of accuracy, efficiency, and flexibility. These devices can provide centimeter-level accuracy, ensuring highly reliable spatial data collection. With the ability to capture data in real-time, mobile GNSS hardware enables immediate quality control and data validation. This reduces the need for post-processing and accelerates decision-making processes. The portability of these devices allows for seamless data collection across vast areas, including remote and challenging terrains.
Data collected using precise measurement tools has a transformative impact on infrastructure management within utility organizations. It enables utilities to develop a comprehensive inventory of their assets, precisely map their network infrastructure, and monitor their condition. This information facilitates proactive asset management, predictive maintenance, and optimized resource allocation. Accurate spatial data empowers utilities to make informed decisions regarding repairs, replacements, and upgrades, resulting in improved system reliability and enhanced customer service.
By leveraging mobile GNSS hardware, utilities can capture precise data on existing infrastructure, such as its location, dimensions, and attributes. This data serves as a foundation for conducting accurate network analysis, identifying areas of potential strain, and planning for future growth. GNSS data collection allows utilities to assess the feasibility of infrastructure projects, optimize network capacity, and align expansion plans with anticipated demand. The integration of accurate spatial data enhances the efficiency of infrastructure planning and minimizes the risks associated with under or overinvestment.
Data collection through mobile GNSS devices fosters collaboration among utility stakeholders, surveyors, engineers, and GIS practitioners. By sharing consistent and reliable spatial data, all parties involved can work from a common understanding of the utility infrastructure. This improves coordination, reduces errors, and enhances communication throughout the project lifecycle. Accurate spatial data integration allows utilities to leverage geographic information systems (GIS) and other software applications, enabling advanced analytics, modeling, and visualization capabilities for more informed decision-making.
During emergencies or natural disasters, accurate spatial data becomes invaluable for utilities in facilitating prompt emergency response. Mobile GNSS hardware data collection ensures that utility personnel have precise location information, allowing them to quickly identify affected areas, assess damage, and prioritize restoration efforts. Accurate spatial data assists in optimizing resource allocation and improving the coordination of emergency response teams. By leveraging this data, utilities can minimize downtime, restore services rapidly, and enhance public safety.
In conclusion, accurate spatial data collection through mobile GNSS is an indispensable tool for utilities, enabling them to enhance infrastructure management and planning. By leveraging the high-accuracy capabilities of mobile GNSS devices, utility stakeholders, surveyors, engineers, and GIS practitioners can capture precise spatial data in real-time. This empowers utilities to make informed decisions, optimize asset management, streamline operations, plan for future growth, respond efficiently to emergencies, and ensure regulatory compliance. Accurate spatial data collection transforms the utility industry by providing a solid foundation for efficient infrastructure management, ultimately benefiting both the utilities themselves and the communities they serve.
To access Grid View click on the ACTIONS icon and select the GRID icon. The GRID icon is displayed to to left (3 long bars stacked)
Displayed is a list of the current collected locations. To display your X, Y, Z, and other values click on the CALCULATE icon in the top right corner.
We know you have been asking for this feature for years, well here it is! Complete with:
These updates open the door for many more highly requested features moving forward, and we are excited to increase the power of Orbitas while maintaing the ease of use you've come to expect.
As always, if you have any questions or concerns please feel free to contact us at email@example.com.
To do this, we have to discuss some statistical analysis theory. All GNSS manufacturers calculate accuracy the same way, but will often display different versions. The first thing to realize when discussing GPS is that "accuracy" technically refers to "precision." Think of a dart game; if you throw 5 darts and they all miss the dartboard, but all 5 darts are clustered within an inch of each other, your precision is great, but your accuracy needs improvement. That's how GPS/GNSS works. Accuracy is a statistically calculated value of how well the positions fall in with each other within a certain observation period. That usually begs the question.....
There are a number of factors that influence this. First, we are not on a stable platform. Our world is constantly moving and changing. Take a look at the graphic below to see how much our world has likely changed. Even though these changes took place over hundreds of millions of years, you get the idea.
The National Earthquake Information Center says the world has over 20,000 recorded earthquakes per year, or 55 earth quakes per day. Even if it is only by tiny fractions of a meter, our earth is changing 55 times per day. How do you determine how "accurate" a point is on an ever-changing surface? The answer is by setting a moving reference point.
For instance, in the United States, most of our RTK networks use a reference datum called the North American Datum of 1983(NAD 83). NAD 83 was created by reviewing over 250,000 different reference stations across the U.S. and freezing that information in time as of April of 2011.
In the US, the National Geodetic Society will publish an algorithm every few years to adjust between ITRF and our local datum. This is why GNSS is referencing “precision” rather than “accuracy,” because accuracy becomes more of an observation against an unknown reference point.
The bell curve provides us with a tool to utilize standardized measurements and better inform us of the distance (or “deviation”) between the average (mean)and the data point. Because the normal curve always has a mean of zero and a so-called standard deviation of one, we can begin to understand accuracy in these terms or positions.
To illustrate, suppose we take an even distribution of grades between 0 and 100.We have an average of 40 (high point of the curve), with a standard deviation of 21.6 points. This means that 68% of the values on the bell curve fall between 18.4 on the low side of the average, and 61.6 on the high side of the average.
Now, let’s take that and apply it to GNSS accuracy. Below are some real world results of the Asteri X3i Mod3, collecting around 1 minute’s worth of data on a second by second basis from our HPRTK correction service, plotted in a Georgia StatePlane NAD 83.
It is pretty impressive that all positions are in a tight little ½ inch diameter, but let’s look at how it relates to standard deviation and GNSS accuracy.
First, let’s take a manufacturer’s specification on the Asteri X3i Mod3. It states “accuracy” of 8 millimeter + 1ppmRTK. We are going to assume that our HPRTK network has a 50km baseline, so that adds about 5 millimeter to the 8 millimeter ,so we will assume our RTK precision is stated at 1.3 centimeter.
Next we will look at the “accuracy” the device reported. Our device, like most, reports 1sigma error in meters in latitude, longitude ,and altitude. We try to simplify this data for our users by just displaying a “horizontal” value.
This value is actually a calculation of the combination of both latitude and longitude by using the Pythagorean theorem. On the next page is what the above data looked like graphically, and then on a standard deviation graph. So, essentially we had a 1.6centimeter average reported (pretty close to the 1.3 centimeter) and a 1.6 millimeter standard deviation. That’s pretty precise!
Here's a list of improvments to expect with the brand new version 2.2.1 of Orbitas RMS:
To make use of some of these new features and add to them, the release will coincide with the full release of Orbitas Field for iOS version 1.0.5
Some of the enhancements you will find are:
We are committed to keeping you informed on the latest and greatest enhancements to Orbitas. Look out for messages in the future regarding what Orbitas can do for you.
Ideally this would be in the clear view, where you could get a good “Sub-Inch” RTK point on. It would also be good if it was a physical location already in you or your client’s GIS. This would help tie the new drawings into their existing system.
Click on the ACTIONS button and then the GRID button to access Grid View of the previously collected locations.
Once in Grid View select the RECALCULATE button in the top right corner of Orbitas. This features does require internet but will automatically determine the exact angle of the line you are creating “IN A STATE PLANE ZONE”!
If not already there, physically walk back to the 2nd location ( The flagged location) and collect a 3rd location using the OFFSET button at the bottom of the collection form.
In this example our bearing was calculated as 297.73 (Yours may differ- this value is derived from the calculations Orbitas performed in the previous step)
So in this example we would enter these values into the offset form:
Click SAVE on the offset form, then SAVE in the collection form.