What is it?
Zirkarta is best described as a mobile friendly real-time map centric collaboration, analytics, situational awareness and resource management system designed for use by multi-tiered organisations when managing land and emergency management projects.
It can also be described as:
- a geospatial artificial intelligence system,
- a real time collaborative web based GIS,
- a command, control and coordination system,
- a data collection system for real time data analytics, and
- a framework for real time data integration, routing and sharing.
A shared map is a map that all users can see and make changes to with those changes visible to all users in real time. The shared map is the main data collection tool in the system and enables geographically separated people to communicate in real time via a map.
Multi-tiered data re-use
The system reuses data collected from shared maps and other system modules and automatically represents it to meet the decision making needs of users at different hierarchical levels in a multi-tiered organisation. Data is only entered once in the system and then reused.
Most situational awareness tools only enable information flow in a single direction: from lower to higher hierarchical levels. Often data that is provided to higher hierarchical levels needs to be specifically entered at lower levels for the sole purpose of providing situational awareness to those at higher levels. Zirkarta enables multidirectional information flow (including from higher to lower levels) and the situational awareness of those at higher levels is automatically generated using data that is created by those at lower levels simply by them using the system operationally.
The representation of data sourced from operational use of the system to meet the decision making needs of users operating at different operational levels and multi directionality enables the system to be used as a Command, Control and Coordination system.
Multi-purpose data re-use and automatic real time data sharing
The system can be configured so that specified data collected for one purpose can be made automatically available for re-use for another purpose.
The system will enable configuration such that, subject to the appropriate permissions, data can be automatically shared between different organisations in real time with each organisation viewing the data using their own symbology. This will enable, for example, two different organisations to work together at the same event each looking at the same map, that updates in real time, but organisation specific symbology being used on each map.
The reuse and sharing of data breaks down silos between people working on different projects and different organisations. The method and algorithms which enable the automatic multi-purpose reuse of data and data sharing are patent pending.
Changes in one part of the system (e.g. new data added to a shared map) result in related changes in other parts of the system (eg: on dashboards) in real time (3-7 seconds).
The system is real-time because all users access the same cloud database.
The system consists of a number of modules that are tightly integrated such that a change made in one module results in an automatic corresponding and appropriate change in other modules (including between spatial and non-spatial modules).
The system enables the real time integration of:
- data collection, data analysis and intelligence, planning and operations,
- local knowledge, planned events and unplanned events,
- past, present and future (before, during and after an event),
- office staff (desktop/laptop) and field staff (mobile),
- two or more projects,
- two or more organisations,
- workers, managers and executives, and
- organisations and their customers
End use organisations configure the exact nature of the relationships that define these integrations.
Data collection as a by-product of management
Data is collected by the system as a by-product of its operational use.
Artificial intelligence driven spatial prediction
Patented artificial intelligence algorithms will use the data collected as a by-product of the operational use of the system to predict spatial phenomenon. These predictions can be used to generate intelligence that can be used in planning operations. Data collected as a by-product of subsequent operational use of the system can be used to improve on the predictions previously made. In this way, the system ‘learns’.
Most spatial systems enable predictions of spatial phenomena only to be made at a single point in time. Zirkarta will enable predictions to be re-run automatically and dynamically as new data is added to the system. This will enable, for example, the predicted spread of a fire to be automatically re-run every time new intelligence on the location of the fire edge is entered by fire fighters in the field.
The behaviour of almost every aspect of the system can be configured by end use organisations without programming. For most organisations, configuring the system will take less than 2 days (and often as little as a few hours).
Templates are configured by end use organisations for different types of events (e.g. one template for weed control and another for fire fighting) by using a drag and drop interface. Templates are used to control spatial and non-spatial functionality and how data entered is re-used and integrated within and between templates. In the case of a specific event, a new map is created using the appropriate template and the map behaves in accordance with the configuration of that template.
Mobile and app free
The system has been specifically designed to work on mobile devices as well as desktop computers. Irrespective of the type of device used to access the system, all devices are accessing the same real time cloud database.
The system belongs to a new class of software called ‘off-line web applications’ which means that it is a web site that continues to work outside of internet coverage without downloading any software (including apps) onto any device.
All operating systems, all devices, all browsers
The system runs on all operating systems, all devices and all browsers.
The system is built using a range of open source languages and technologies and in this way is not permanently tied to a language or technology provided by another vendor. In fact the technologies and languages from which the system are built are the same as used in some of the worlds largest websites.
The system has been designed such that it can be integrated with other systems so that data may be freely exchanged between Unite and the other system. This includes a patented data integration engine which converts data generated by external systems to ‘native system data’ so it can be used with the full functionality of the system.
Many spatial systems require specialised training and knowledge to use. Zirkarta has been specifically designed so it can be used with minimal/no training – if you know how to use a web browser and consumer web sites such as Google Maps you already know how to use most of the system.