GEOMATIVE Real-Time Online Monitoring System

Dam seepage anomalies, hidden leakage paths, and phreatic-line rise are highly concealed and high-risk; conventional patrol inspection and single-point monitoring leave blind zones and lagging data. Built on the geoelectric field and automated inversion, the dam seepage monitoring system runs 7×24 fully automatically, adaptively adjusting acquisition frequency with reservoir level and weather, and cross-validating displacement and seepage-pressure data. It dynamically generates the 3D phreatic line, with tiered alerting, automatic reports, and dashboard integration. Successfully demonstrated on multiple medium-to-large reservoirs, it delivers multi-parameter time-lapse results, 3D models, and dam section fence diagrams that precisely characterize seepage evolution — safeguarding flood-season safety and smart O&M.

• Dynamic 3D phreatic-line characterization

• Multi-parameter time-lapse results

• Flood-season adaptive densification

Leveraging the insulating property of HDPE liners and the electrical contrast between media above and below the membrane, our proprietary electric-field leakage-detection algorithm builds a fully automatic, high-precision landfill leakage monitoring system. Through artificial field construction and the acquisition and inversion of potential and resistivity data, it precisely determines the number and location of leaks and dynamically tracks the underground migration and spread of leachate. The system supports dynamic current-field modeling, simultaneous multi-point leak locating, unattended automatic operation, multi-level alerting, automatic daily/weekly reports, and regulatory dashboard integration. It deeply serves multiple large enterprises, outputs 3D current-density field visualization, and comprehensively safeguards landfill liner integrity and ecological stability.

• HDPE electric-field algorithm

• Simultaneous multi-point locating

• 3D current density field

Mining and highway rock-soil slopes, affected by rainfall and stratum disturbance, are prone to crack development, interlayer softening, and sliding instability — precursors that develop at depth, beyond the reach of conventional surface monitoring. The system adapts to complex slope conditions with flexible hybrid cabling, fusing resistivity and passive-source velocity tomography (independent or joint inversion) to characterize subsurface structure and property changes at depth and precisely identify landslide precursors. It correlates GNSS displacement, seepage pressure, soil moisture, and tiltmeter data, and fuses historical geophysical inspection data into an integrated inspection-monitoring mode — comprehensively safeguarding long-term slope stability and safety.

• Joint resistivity–velocity inversion
• Hybrid cabling in complex terrain
• GNSS · pressure · moisture · tilt correlation
• Landslide precursor recognition

Groundwater contaminant spread beneath chemical parks and wastewater ponds is concealed and difficult to remediate; intermittent grab sampling misses early anomalies and cannot support dynamic source tracing or remediation control. The dedicated groundwater monitoring system runs fully automatically and unattended, correlating resistivity with oxidation-reduction potential to precisely characterize the space-time form of the contamination plume; coupled with reaction-transport models, it quantitatively inverts contaminant concentration and spread — upgrading from qualitative screening to quantitative diagnosis. It monitors the performance of chemical oxidation, pump-and-treat, and other remediation processes end to end, with platform integration and intelligent alerting: early warning of contamination, a trackable process, and quantifiable treatment.

• Plume space-time characterization
• Reaction-transport quantitative inversion
• Remediation performance monitoring
• ORP correlation

In-situ leaching of ion-adsorption rare earths suffers from disordered leachant spread, mother-liquor loss, and low resource recovery — with geological and ecological risks, and no precise monitoring under experience-based construction. The system is tailored to the leaching process: resistivity profile imaging with time-series monitoring tracks leachant seepage paths and mother-liquor enrichment zones in real time and precisely delimits the leaching boundary, guiding refined injection and targeted recovery — effectively raising resource recovery while cutting reagent consumption and ecological risk. It serves a major enterprise, advancing intelligent, green, and standardized safe production in rare-earth mines.

• Leachant seepage path tracking

• Mother-liquor enrichment zoning

• Guided precise injection & recovery