Reporting for sewage treatment plants
Reporting combines laboratory and control system data in a structured system. This saves time, improves data quality and supports operators in meeting internal and regulatory reporting requirements.
Efficient documentation thanks to bundled data
The RITUNE® optimization platform reporting simplifies daily work with operational data by automatically combining plant parameters and manually recorded laboratory values in a shared system. All data is presented in tabular form and can be exported to Microsoft® Excel® or as a PDF file as required. This allows operators to maintain an overview, reduce sources of error and fulfil internal and external reporting requirements efficiently and transparently. Reports can be created and managed easily without any specific IT knowledge.
Your advantages
- Fewer incorrect entries: Laboratory value input masks for consistent recording in the daily log
- Automated report dispatch: Regular information about processes and events for stakeholders
- Statistical evaluations: Automatic calculation of average, minimum and maximum values on a daily, monthly or yearly basis
- Quick overview: Colour coding for immediate identification of limit violations in reports
- Efficiently prepared reporting requirements: Simple report generation in accordance with country-specific requirements such as AWEL, ANU, DABay or SEBAM, as well as for internal documentation
References and case studies
Langmatt wastewater treatment plant
Optimization of processes and resource consumption
Altenrhein Wastewater Association
Optimization of processes and resource consumptionProducts and services for this solution
RITUNE optimization platform
Software for cross-process visualization, monitoring, optimization, reporting and maintenance of plantsThe web-based, modular data platform enables simple visualization, precise analysis and sustainable optimization of operations in terms of energy, drinking water and wastewater.
- Easy data import from process control systems, weather stations, logging systems, text files and much more.
- Cross-process evaluation and plausibility checking of large amounts of data using artificial intelligence and statistical methods to identify potential for process optimization and improve data quality.
- Options for on-site installation and cloud hosting, taking into account the security requirements for critical infrastructures
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