Remote Water Monitoring Companies
Remote monitoring services for decentralized assets, cloud dashboards, alerts, and managed operations at a distance.
65 specialist providers · 16 related · 20 countries
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Specialists in remote water monitoring
Providers whose services or self-declared specialties match this category.
Xiamen Haichuan Runze Internet of Things Technology Co.,Ltd.
VerifiedChina · 51-200 employees
We are from Xiamen Haichuan Runze that is a provider of water conservancy information technology products and integrated technical solutions. Currently, the company's products such as water level gauges, flow meters, rain gauges, sensors, and telemetry terminal units can be widely applied in various fields including smart water conservancy, smart cities, smart irrigation areas, and smart environmental protection.
Buyer's guide
The buyer's guide to remote water monitoring
Remote Monitoring for Water Systems: Telemetry Protocols, Sensor Networks, and IIoT Architecture
Remote monitoring of water and wastewater assets enables real-time visibility of process parameters, equipment status, and alarms without on-site attendance. Core sensor types: pressure transducers (4 to 20 mA, accuracy plus or minus 0.25 percent FS, IP68 for submersible applications); ultrasonic level sensors (0.1 to 5 m range, plus or minus 0.25 percent accuracy, non-contact for corrosive media in wet wells); electromagnetic flow meters (DN15 to DN3000, accuracy plus or minus 0.5 to 2 percent of reading per ISO 4064 Class 1/2); turbidity sensors (nephelometric, 0 to 4,000 NTU, ISO 7027); online analyser probes (pH, DO, conductivity, ammonia, nitrate - optical or ion-selective electrode). Data transmission: GPRS/4G (most common for remote sites, latency 100 to 500 ms, data cost typically GBP 5 to 30 per SIM per month); LPWAN (LoRaWAN at 868 MHz in EU, 915 MHz in US - 0.3 to 50 kbps, range 2 to 15 km, battery life 5 to 10 years for low-frequency sensors); NB-IoT and LTE-M (licensed spectrum, better coverage penetration for underground installations, 250 kbps); satellite (LEO constellations for truly remote sites with no cellular coverage).
SCADA (Supervisory Control and Data Acquisition) architecture for water monitoring: field devices (PLCs, RTUs) communicate via standard industrial protocols (Modbus RTU/TCP, DNP3, IEC 60870-5-104, OPC-UA) to SCADA servers. OPC-UA is the modern standard (IEC 62541): secure, encrypted, platform-independent, supports pub-sub messaging and context-rich data models. Typical water utility SCADA platforms from the established industrial automation vendors all provide historian databases, alarm management, and trend displays. Cybersecurity: NIST SP 800-82 (Guide to ICS Security) and UK NCSC CAF (Cyber Assessment Framework) for OT/ICS environments; IEC 62443 defines security levels (SL1 to SL4) for industrial automation; water utilities are Critical National Infrastructure (CNI) requiring network segregation (IT/OT air gap or DMZ), multi-factor authentication, and intrusion detection. UK NIS Regulations 2018 (implementing EU NIS Directive) require water and wastewater operators to implement appropriate security measures.
Industrial IoT (IIoT) platforms for water monitoring: cloud-based IoT platforms from the major hyperscale providers receive data from RTUs/gateways via MQTT or AMQP protocols; data stored in time-series databases for trend analysis and machine learning. Digital twin technology: physics-based hydraulic models (EPANET or commercial network modelling packages) linked to real-time SCADA data create calibrated digital twins that predict pressure transients, detect bursts (by comparing model vs actual pressures), and optimise pump scheduling. Energy optimisation: AI-driven pump scheduling (commercial pump-scheduling optimisation software) reduces energy cost by shifting pumping to off-peak tariff periods (UK ToU tariffs: peak 16:00 to 19:00, off-peak 00:00 to 07:00) while maintaining network pressures - achieves 10 to 25 percent energy cost reduction. Smart AMI (Advanced Metering Infrastructure) for water: endpoint meters from the established meter manufacturers transmit hourly reads via fixed network or walk-by/drive-by systems, enabling leak detection at customer connections and demand forecasting.
Frequently asked questions
What communication protocols are used for water system remote monitoring?
Most common protocols in water industry remote monitoring: (1) Modbus RTU/TCP: legacy standard, widely supported by PLCs and RTUs; simple master-slave; limited security; still dominant at field device level; (2) DNP3 (IEEE Std 1815): developed for utility SCADA; supports time-stamped data, integrity polling, unsolicited reporting; widely used in US water utilities; (3) IEC 60870-5-104: European equivalent to DNP3, used in UK and European water utilities for telecontrol; (4) OPC-UA (IEC 62541): modern industrial protocol; encrypted (TLS 1.2/1.3), authenticated, supports complex data models; increasingly specified for new installations; (5) MQTT (Message Queuing Telemetry Transport, ISO/IEC 20922): lightweight pub-sub protocol ideal for IoT gateways to cloud (hyperscale cloud IoT platforms); low bandwidth, supports QoS levels 0, 1, 2; (6) GPRS/4G + proprietary RTU firmware: common for standalone pump station telemetry units from the established RTU manufacturers. UK Water Industry: SCADA Gateway requirements per EA and Ofwat reporting may specify DNP3 or IEC 60870-5 for regulatory data transfer.
What sensors are used for remote water quality monitoring?
Online water quality monitoring sensors deployed in remote monitoring networks: (1) pH: glass electrode (drift 0.05 to 0.1 pH units/week, monthly calibration); optical (no electrode, drift-free, 12-month deployment); (2) Dissolved oxygen: optical luminescence DO probe - no membrane, no electrolyte, 6 to 24 month replacement; (3) Turbidity: nephelometric (ISO 7027 compliance); 90-degree scatter; auto-cleaning wiper essential for continuous monitoring; (4) Conductivity/TDS: 4-electrode toroidal (no fouling, suitable for dirty water); (5) Ammonia: ISE (ion-selective electrode, limit of detection 0.01 mg/L) or colorimetric analyser; (6) Nitrate: UV absorption at 220 nm (SONDE probes) or ISE; (7) Chlorine: amperometric (DPD equivalent, free chlorine 0 to 5 mg/L); (8) TOC (Total Organic Carbon): online UV-persulfate or combustion analyser for source water monitoring; (9) PFAS and emerging contaminants: currently no real-time online sensors; sampling autosamplers trigger laboratory analysis. Multiparameter sondes from the established instrument manufacturers combine 5 to 10 parameters in one probe.
How is cybersecurity managed for water SCADA systems?
Water sector OT/ICS cybersecurity governance: UK - NIS Regulations 2018 (amended 2022) require water and wastewater operators (as Operators of Essential Services) to implement appropriate and proportionate security measures; report incidents to NCSC and Ofwat. NCSC CAF (Cyber Assessment Framework, v3.1) provides the assurance framework across 4 objectives: managing security risk, protecting against attack, detecting events, minimising impact. US - EPA Cybersecurity for the Water Sector (2023 guidance); AWIA 2018 (America's Water Infrastructure Act) requires utilities serving greater than 3,300 people to conduct risk and resilience assessment and develop emergency response plans. NIST SP 800-82 Rev 3 (2023) is the primary technical reference for ICS/SCADA security. Key controls: network segmentation (IT/OT DMZ, industrial firewalls); multi-factor authentication for SCADA access; patching management (ICS-CERT advisories); removable media controls; vendor remote access via secure jump servers; security monitoring (OT-specific anomaly detection platforms).
What is the ROI for remote monitoring in water utilities?
Remote monitoring ROI components: (1) Reduced site visits: replacing daily/weekly manual readings with continuous telemetry saves approximately 0.5 to 2 hours per site per week (vehicle cost, technician time); for a utility with 200 sites: savings of 100 to 400 technician-hours per week at GBP 30 to 50/hour = GBP 150,000 to 1,000,000 per year; (2) Earlier leak/burst detection: pressure monitoring detects pressure drops within minutes vs hours for manual patrols; UK industry data: average burst costs GBP 5,000 to 50,000 including water loss, repair, and customer claims; reducing detection time from 24 hours to 2 hours saves 90 percent of water loss per burst; (3) Energy optimisation: AI-driven pump scheduling saves 10 to 25 percent on pumping energy - for a utility with GBP 2M annual pumping energy bill: GBP 200,000 to 500,000 annual saving; (4) Regulatory compliance: automated regulatory data reporting (EA abstraction and discharge returns) reduces admin burden; avoids regulatory penalties (EA enforcement fines up to GBP 250,000). Typical payback period: 2 to 5 years for full telemetry network investment.
Illustrative scenario · Water and wastewater utility operations
A composite drawn from typical projects in this category, not a single client engagement. Figures are indicative.
- Challenge
- A water company in the West Midlands was operating 340 remote assets (service reservoirs, booster stations, PRV chambers, and wastewater pumping stations) with only 40% covered by SCADA telemetry. The unmonitored 60% required daily manual inspection visits, costing GBP 820,000 per year in field technician time, with burst and overflow incidents averaging 6.8 hours detection-to-response time.
- Approach
- The company deployed low-power wide-area network (LPWAN) telemetry nodes using NB-IoT across all 204 unmonitored assets, logging pressure, flow, level, and power at 5-minute intervals. Data was ingested into a cloud analytics platform with anomaly-detection algorithms alerting on-call engineers via SMS within 3 minutes of threshold breach. Integration with the existing asset management system enabled automatic work-order generation on alarm.
- Outcome
- Manual inspection visits fell by 68%, saving GBP 555,000 per year. Average detection-to-response time fell from 6.8 to 0.9 hours. Five significant burst events in year one were detected and isolated before reaching customer notice. The programme achieved positive NPV within 26 months against a GBP 1.1 million deployment cost.
Questions to ask shortlisted providers
5
- 01
What communication technology is available across the asset geography (GSM, NB-IoT, LoRaWAN, satellite) and what is the coverage gap risk?
Communication blackspots in rural assets are the leading cause of remote monitoring deployment failure; NB-IoT and LoRaWAN have distinct penetration depth advantages for below-ground chambers.
- 02
What parameters are to be monitored at each asset type and what are the alarm thresholds that trigger field response?
Over-alarming drives operator fatigue and ignored alerts; threshold calibration against historical operating ranges is essential before go-live.
- 03
How will the telemetry data integrate with the existing asset management, SCADA, or BMS platforms?
Data siloed in a proprietary monitoring platform delivers only a fraction of the value compared to integration with operational and maintenance workflows.
- 04
What cybersecurity architecture governs data transmission and cloud storage, and does the system meet UK NIS Regulations 2018 requirements?
Water utility telemetry networks are essential service infrastructure; unencrypted transmission or unauthenticated device access creates attack vectors that Ofwat AMP8 resilience expectations require to be addressed.
- 05
What is the expected battery life for remote sensor nodes and what is the maintenance plan for battery replacement?
LPWAN nodes typically achieve 3 to 8 years battery life depending on transmission frequency; failing to plan replacement creates monitoring gaps and undermines the ROI case.
What drives cost in this category
4
- Hardware per monitoring node (sensor, RTU, communication module)
- NB-IoT or LoRaWAN telemetry nodes cost GBP 200 to 800 per point depending on sensing requirements; SCADA-grade RTUs for complex assets cost GBP 1,500 to 8,000.
- Communications network infrastructure
- Where public NB-IoT coverage is absent, private LoRaWAN gateway deployment costs GBP 2,000 to 5,000 per gateway covering 2 to 10 km radius; satellite backhaul for remote sites costs GBP 30 to 80 per month per node.
- Software platform licensing and data storage
- Cloud analytics platforms cost GBP 50 to 200 per asset per year for SaaS licensing; on-premise solutions require GBP 80,000 to 350,000 upfront but reduce ongoing cost for large asset fleets.
- Integration, commissioning, and staff training
- SCADA and asset management integration typically costs GBP 1,500 to 5,000 per asset for complex deployments; alarm-threshold calibration is commonly underestimated and can add 10 to 20% to total project cost.
Key regulations and standards
4
- UK NIS Regulations 2018 (Network and Information Systems)
- Water company telemetry and SCADA networks qualify as essential service operator infrastructure; operators must implement IEC 62443-aligned controls, notify NCSC of significant incidents within 72 hours, and provide annual security review evidence to Ofwat.
- Ofwat AMP8 Data and Digitalisation Expectations
- Ofwat's AMP8 guidance requires water companies to demonstrate investment in monitoring and data infrastructure as part of resilience and leakage commitments; companies without real-time asset monitoring face scrutiny on performance commitment delivery.
- Water Industry (Amendment) Act 2023 Event Duration Monitoring
- All storm overflows must be equipped with near real-time flow monitoring by 2025; data must be published on a public portal; remote monitoring providers must supply hardware compatible with the Water UK national EDM data standard.
- GDPR and Data Protection Act 2018 for Customer Meter Data
- Smart meter and AMI data may constitute personal data under GDPR; data processing must comply with lawful basis requirements, privacy notices, and data retention limits specified in ICO guidance for the water sector.