WARA-PS utilizes docker which makes it possible to deploy software applications using containers (small operating systems). The containers enable the deployment of the software applications no matter what environment is used, meaning that anyone can run the applications.

To further ease the use of services and applications in WARA-PS so called bundles are used. “Bundles” are a powerful tool for software developers who want to run an entire system locally on their own computer for integration purposes. These bundles consist of scripts that automate the process of starting and running a collection of docker containers, along with their corresponding networks. By using the same docker images that are used in the cloud environment, developers can be confident that the local system will behave in the same way as the cloud-based version.

One of the key benefits of using bundles is their flexibility. In addition to running the entire system on a single computer, it’s also possible to run parts of the bundles over different computers in the same network, spreading the load of each bundle over the network. This is particularly useful for large-scale projects that require significant computing resources, as it allows developers to distribute the workload and accelerate the development process.

By leveraging the power of docker containers and networks, developers can quickly and easily spin up an entire system on their own computer or over a network, enabling them to iterate faster and produce higher-quality code. Whether you are working on a complex distributed system or a simple application, “bundles” can help you simplify your development process and achieve your goals more efficiently.

To summarize, you can easily try out our services and applications on your own by contacting us and getting access to our bundles. In order for some of the services and applications to function, multiple bundles have to be downloaded and deployed. If you have any questions or are interested in learning more, please contact us through the support page that can be found on the bottom right corner of the page.

Node-red UI and Node-red Logic make up the so called WARA-PS integration test tool. Node-red UI is used to ensure that the integration between new agents and services to the WARA-PS API has been done correctly and is working. Both sensors and commands are tested. In addition to testing agents and services, Node-Red UI also shows data from the agents and services so that it can be evaluated. Both quantities such as direction and speed, and other capabilities are displayed. Some capabilities, like the medium an agent acts within for example, is represented through icons.

Node-Red Logic is used to translate system specific API’s from simple agents to the standardized WARA-PS API specification (see link above), e.g. the high accuracy positioning services which is implemented as a network Real Time Kinetics (nRTK) GPS. In this case the nRTK GPS is connected to a secondary broker where data such as position, accuracy, number of satellites etc. is published. Node-Red Logic translates and publish this data to the MQTT broker (see Core System page) as a WARA-PS agent which can be used by other services and agents in the Core System.

Naval SE – Naval Simulated Environment – is a system developed and used by SAAB. It is a strategy and simulation tool for naval missions, where vehicles and equipment are placed in a 2D map and assigned routes. Environmental factors can be changed during the exercise to change the course of the simulation. The scenarios can also be placed in a 3D environment with a setup resembling a management system, for training purposes. The purpose of Naval SE in WARA-PS is for simulating scenarios in a controlled environment, and to showcase scenarios. For a closer resemblance to actual rescue scenarios in WARA-PS, 3D models of autonomous vehicles and rescue vehicles have been implemented in the 3D viewer.

One of the tools that WARA-PS offers is an evaluation tool for NMEA logs called Olisa. Olisa has a graphical user interface that allows for NMEA logs, produced by GPS units, to be imported and analyzed. Olisa currently offers five processes through which datasets can be analyzed. These are Fix Quality which displays the fix quality over time for one or more datasets. Number of Satellites, which will display the number of satellites that the nRTKs have used over time for one or more datasets. Altitude which allows the user to see the altitude of the nRTK over time for one or more or one data sets. Distance Between Positions by calculating the euclidian distance between two datasets by interpolating and comparing positions in every timestamp. The function is displayed over time. Finally, the rotation can be calculated using the function Rotation of Heading. The rotation is based on the heading, which in turn is based on the latest two positions, in every timestamp. Olisa is used to evaluate nRTK units in WARA-PS. If you are interested in using Olisa, please contact us through the support page that can be found on the bottom right corner of this page.

One of the assets in the Core System is the Agent Operator. An agent operator looks like an agent, but functions as a coordinator and decision maker. This is because the Agent Operator has access to, and can coordinate a number of agents and UxVs and can receive commands and task-requests, and can then decide, based on proximity, which agent or UxV is most suitable to perform the requested task. The agent that is deemed most suitable will then execute the task. In the future, more parameters that the agent operator can make its decision on can be added.