search-icon BLOG LOGIN


Ageing infrastructure, safety and regulatory compliance drive significant operational challenges. Knowing where assets are is critically important in terms of risk reduction.


Mains Risk Prioritisation

Mains Replacement Prioritisation Surveys (MRPS) collect data regarding property proximity and associated risk in relation to existing metallic gas mains. Captured data includes ground conditions, cellared properties, how many properties are within specified proximity zones (buffer polygons) from gas mains, how many vulnerable properties are located in these zones, and other observations.

MGISS is delivering combined hardware and software solutions to asset owners and engineering service providers featuring advanced GIS and GNSS capabilities for capturing, editing, and displaying geographic information quickly and efficiently. Working with any mapping or survey grade GNSS receiver capable of delivering between sub-metre and centimetre positioning accuracy in real-time onto your digital OS map along with all other attributes about the asset and other utilities in proximity.

As-Laid Surveys

As-laid surveys are required during or after completion of construction projects. The purpose of an as-laid survey is to verify to both clients and regulators that the construction work authorised has been completed according to the same specifications set during the planning stage and shown in the site plan or GIS asset database, or that any divergence from the design is captured accurately. An as-laid survey is also often used to show the client that a project under construction is conforming to regulations.

We are enabling ESRI enterprise users to make the most of available apps such as Collector for ArcGIS or Survey 123 for ArcGIS to improve the quality of capture as-laid information. MGISS also complete custom solutions based on detailed workflow requirements, or a complete Opensource solution dictated by budget constraints or back office processes.

Always with an eye on industry regulation, best practice and future technology trends, MGISS recommend a data model and workflow that ensures asset data is fit for the future.