We were tired
of cleaning panels
the wrong way.
Integrated Solar Systems is a solar-services company. We design, install, and operate a patented cleaning system for utility-scale solar arrays. Our work started in the field, on contracts where every kilowatt-hour earned during the day depends on the dust that fell the night before.
Solve the high cost
of manual cleaning.
A solar farm is a financial instrument. Dust is the spread that eats the yield. Manual cleaning is the maintenance bill that erases the spread.
Most utility-scale farms treat cleaning as scheduled maintenance, a fixed monthly cost regardless of weather, season, or local soiling rate. The crews arrive. They scrub the whole array. The water tank empties. Nobody knows whether half those panels needed the visit.
We were running cleaning crews ourselves when the patent first took shape. The simplest insight in this whole company is that soiling is non-uniform. Cleaning, until now, has always been uniform.
Our system inverts that. The model decides per zone, per panel, per fluid, per pass. The boom does only what the model asks. The result is cleaner glass, smaller water bills, fewer cycles, and a software trail that proves it.
- Machine-learned controlA predictive model decides what to clean, when, and with which regime.
- Per-zone activationNozzle output and boom carriage movement are controlled independently for each section of the array.
- Three spray regimesCooling pulse, light density, and heavy density, selected by the model per panel and per cycle.
- Field-trained modelThe system collects field data on every input and improves its decisions over time.
The work we filed,
in plain language.
Trust comes from being specific. Below are the patent claims that underpin our system: what we filed, when, and what each one covers.
Method to control a solar power cleaning system
Inputting GPS, weather, image analysis, panel power output, cleaning regime, timer, manual input, historical data, and predictive model value; activating scans and cleaning cycles; outputting machine-learned activations of nozzle output and boom carriage wheel movement.
Cooling cycle on temperature threshold
Determining whether the solar panels have reached a temperature above a predetermined threshold; activating a cooling water spray pulse in response to the affirmative determination.
Predictive model from collected field data
Entering variable data to a machine-learning database; collecting and storing field data for each system input; defining data set characteristics; creating a predictive model based on datasets for selected desired outputs.
The three
cleaning regimes.
From the patent itself: three regimes of spray density. The model picks the right one for each zone, each cycle.
Single-point dispense. Light spot cleaning for low-soiling zones.
Multi-point staggered dispense. Standard cleaning regime for normal soiling.
High-density saturation. Deep cleaning + cooling-pulse regime for heavily soiled or overheated arrays.
Source · Attorney Docket No. 20859-160410-US · Customer No. 42798 · "Cleaning Devices and Systems for Solar Panel Arrays"
Want to see the system on your farm?
We run a 14-day pilot on a representative section before any commitment. Tell us where your dust comes from and we'll send the cleaning plan.
Talk to engineering