Spatial Insight 2017:
SynergieNL
With Spatial Lite software, Spatial Insight has created the platform SynergieNL.
SynergieNL is an online platform to cöordinate projects in the public space, aimed at water and gas supply companies and municipalities in the Netherlands. Participants show their projects on the map. SynergieNL instantly analyses the locations where coöperation is highly recommended. These areas are visualized on the map on different scales. Individual projects can be adjusted in time as well as location so participants can focus on the projects instead of looking for areas. The meetings will be more efficient and projects will get cheaper.
You can find more information on the SynergieNL website (Dutch)
Spatial Insight 2017:
User Interface GPT Enexis
Enexis is determining the priority of the replacement of gaspipes with the Gaspriotool. Spatial Insight is focussing on the user interface for the new Gaspriotool. This is being configurated in Spatial Lite. The goal is to offer the right information to the user in order to asses the results to use them for projects.
Spatial Insight 2017:
Pilot grenscorrectiegebieden
For the foundation “Stichting Mijnaansluiting”, Spatial Insight has created a Web-GIS environment where different (electricity/gas) parties can work together in order to determine the right borders between them, including the gas and electricity connections. The participants can mark the areas and generate reports to register agreements.
Spatial Insight 2016:
Priotool WML
Spatial Insight has created a priotool for WML. This is tool is helping the organization to asses the results of the rehabilitation support model and use them in projects. The user can see all the relevant data on the map, can draw areas, add a date of implementation and register other relevant information. For every area it shows the total length of the material that needs to be replaced, the amount of water connections that are in the area and what the status of the project is, depending on the administrative fields.
Spatial Insight 2015:
Spatial Workshop projects Enexis
Enexis is a network operator for gas and electricity in the south, east and north of the Netherlands. Spatial Insight carries out various projects for Enexis, varying from implementing open data into a replacement model to building a scheduling platform for installing smart meters. The common factor is the use of Spatial Workshop for carrying out these projects.
Spatial Insight 2015:
WO-DSS
Water Office is software that is based on Smallworld technology, which supports the full process of registration and management of water supply networks. Spatial Insight has developed a model for Water Office that supports the replacement policy, based on risk based asset management. This model offers the possibility of calculating the replacement priority and it also provides reports that give you an insight into its long-term consequences.
Spatial Insight 2015:BEEL On Demand
Every water or gas supply company is interested in knowing what the external effects are when a pipe breaks or bursts. In this project, Spatial Insight made a default risk analysis, which is easy to apply to any pipe network or grid. This analysis shows the pipes that are on the longlist and shortlist, according to BEEL regulations in the netherlands. For every pipe, the potential crater is calculated and the BEEL objects (dikes, roads) are taken into account.
This clip shows a short demo of the project (Dutch)
Spatial Insight 2014:
Rehabilitation Priority model Oasen
Spatial Insight has provided the water supply company Oasen Drinkwater with a rehabilitation priority model for its entire mains system. Originally, Oasen’s model made it possible to determine rehabilitation priority for just one pipe, but Spatial Insight is capable of performing this calculation for the complete mains system all at once. Because it is the first time that this model will be implemented on a large scale, it is important to examine its sensitivity. This is done by building the model in such a way that all variables are easily adjustable. The end user will then be able to incorporate new insights and to produce reports independently.
Spatial Insight 2014:
Transparant NL
Spatial Insight, by the name of Transparent NL, has taken the initiative to create a national rehabilitation support model for the mains system. With this model, the probable year of replacement of all pipes in the mains system can be calculated. More than 50 factors are taken into account in this calculation. Based on the year of replacement, a prognosis is made of the yearly investment, the costs of maintenance and the performance of the mains system.
Transparent NL is a cooperation of Spatial Insight and various water supply companies. PWN has developed the underlying theoretical model. Spatial Insight manages the technical configuration. Transparent NL is organised in such a way that all parameters are easily adjustable and reports can be produced quickly.
Spatial Insight 2014:
Analysis connection data PWN
Spatial Insight has tested the analysis of connection data. The hypothesis was that there are users of drinking water within PWN’s service area who haven’t been registered with PWN. Consequently, these users do not pay for their use of drinking water. By combining various internal and external files, Spatial Insight has confirmed this hypothesis. Also, it has made a list for PWN of potential non-paying or absent customers.
Spatial Insight 2013:Configuration Rehabilitation Support Model WML
Spatial Insight has reorganised the rehabilitation support model of water supply company WML. In 2012, WML configured an area-wide improvement model for the first time. This was carried out by Spatial Eye in Spatial workshop. In cooperation with Spatial Eye, Spatial Insight reorganised this model in 2013. It added some business rules and adapted the groundwork of the model. After the project was finished, it was possible to divide all pipes into groups of equal technical life span based on their environment. The moment of replacement is determined on the basis of a few environment variables and technical life span.