vali::tool
vali::tool automatically detects, marks and (optionally) corrects untrustworthy data, it detects outliers, and noise, and checks for discontinuous data. It ensures that only high-quality data are fed into the event detection module. It also provides the user with indications on sensor maintenance requirements, as well as automatic detection of malfunctions.
- Provides self-adaptive, self-controlled data validation in real time
- Ensures both sensitive and reliable alarm limits respectively setpoints for process control
- Analyzes noise, outliers, and other combinations in real time to reliably detect any malfunction at an early stage
- Considers user interventions in real-time
- Application-specific training period considers normal fluctuations of individual water matrix and typical process dynamics
- Helps to dramatically reduce false alarm rates
- Configurable auto-correction of data based on a threshold, outlier, and noise analysis
Data Validation (vali::tool)
Performs real-time, self-adaptive validation to detect untrustworthy data, sensor malfunctions, and outliers.
Supports configurable auto-correction using noise and threshold analysis.
Minimizes false alarms and helps indicate when sensor maintenance is required.
Smart Metering
Includes high-accuracy ultrasonic and electromagnetic meters for precise consumption measurement.
Features digital displays with leak indicators such as a spinning sundial or faucet icon.
Distribution System Monitoring
Detects pressure transients to protect network assets.
Combines sensors, cloud software, and analytics for predictive and proactive system management.
Analytics & Software
Cloud-based platforms provide advanced data analysis, reporting, and system optimization.
Generates actionable insights that improve resource allocation and reduce operational costs.
Environmental Monitoring
Supports baseline data collection and long-term trend analysis for water quality assessment.
Leak Detection
Utilizes flow behavior and sensor data to identify leaks and abnormal consumption patterns within distribution networks.
- Drinking Water Treatment
Ensures the reliability and accuracy of data from monitoring stations measuring potable water parameters. - Wastewater Treatment
Validates data from systems monitoring influent/effluent quality and collection networks. - Environmental Monitoring
Maintains the integrity of environmental data collected from natural water bodies and ecological monitoring sites. - Industrial Processes
Provides accurate, trustworthy water quality data essential for product quality, process optimization, cost control, and regulatory compliance.
- Function:
Automatically validates data and detects malfunctions for connected sensors, specifically optimized for the spectro::lyser V3. - Purpose:
Delivers self-adaptive, real-time data validation to significantly reduce false alarms and ensure high data reliability. - Core Features:
- Automatic Correction: Configurable auto-correction based on threshold, outlier, and noise analysis.
- Maintenance Indication: Identifies sensor performance issues and alerts users when maintenance is needed.
- User-Aware: Instantly incorporates user interventions for accurate data interpretation.
- Seamless Integration: Works with io::tool for visualization and configuration, and with con::line terminals for advanced monitoring setups.
