Efficient Solar Panel Cleaning Machine for High-Output Power Stations

Name: Efficient Solar Panel Cleaning Machine for High-Output Power Stations
Brand: SEE Co., Ltd.
SKU: 2175042162

Shaanxi, ChinaSEE Co., Ltd.

US$1,700.00

1 Piece

Sample price:US$1700.00/piece.Request sample

Product profile

Customization

Available

After-sales Service

1 Year Warranty Guarantee

Automation

Automatic

Model NO.

S-ZTG-3310-041

Clean Type

High Pressure Cleaning

Cleaning Process

Cold Water Cleaning

Control

PLC

Customized

Fuel

Electric

Principle

Electronic Cleaning

Remote Control

With Remote Control

Style

Fixed Style

Crossing Ability

50cm

Bruh Size

1-10m

Application

Large Power Station/Roof Plant

Transport Package

Wooden Case

Specification

40KG

Trademark

OEM, ODM

Origin

Shaanxi Xi'an, China

HS Code

84795090

Production Capacity

1000 Sets Per Year

Key features

Dual Control Modes: Offers both automatic operation and manual mode with advanced remote control capabilities.

Self-Powered Operation: Equipped with lithium batteries and 50W rechargeable photovoltaic panels for 24/7 independent use.

Remote Fleet Management: Manages entire robot fleets via 4G network with real-time feedback and fault monitoring.

Customizable Dimensions: Length is fully customizable to meet specific site requirements.

High Cleaning Speed: Achieves 14 meters per minute with speed stabilization for consistent cleaning quality.

All-Weather Durability: IP-rated waterproof, dustproof, and fogproof design for operation in harsh conditions.

Obstacle Avoidance: Advanced induction controls prevent collisions in fully automatic systems.

Flexible Scheduling: Automated settings allow independent time and frequency adjustments based on seasons.

Company profile

High Repeat Buyers ChoiceIn-stock CapacityR&D Capabilities

SEE Co., Ltd.

Shaanxi, China

Business Type: Manufacturer/Factory, Trading CompanyExport Year: 2010-09-10Nearest Port: ShangHai, NingBo, ShenZhenAverage Response Time: ≤0.24hTerms of Payment: LC, T/T, D/P, etc.International Commercial Terms(Incoterms): FOB, EXW, CFR, CIF, DAT, FAS, CPT, CIP, DAP, DDP, FCA

About Our Factory & Business Background

AddressBuilding 106-C, Tongchuang Jinggao Zhizao Port, Jinghe New City, Xixian New Area, Xi'an, Shaanxi, China

Average Lead TimePeak Season Lead Time: one month Off Season Lead Time: within 15 workdays

Our Production Capability & Technical Expertise

Main ProductsSolar Panel Cleaner, Solar Panel Cleaner Robot, Solar Panel Cleaning System, Cleaning Equipment, Cleaning Robot, Solar Panel Cleaning Equipment, Solar Panel Cleaning Machine, Solar Panel Cleaning Robot, Solar Panel Cleaning, Clean Energy

Our Industry Experience & Global Business Record

Main MarketsNorth America, South America, Eastern Europe, Southeast Asia, Africa, Oceania, Mid East, Eastern Asia, Western Europe

Product Q&A

Q:Will the robot encounter obstacles during operation?

Typically no! For human-operated robots, basic operational knowledge is essential to ensure smooth navigation. Our fully automatic systems use advanced induction controls to avoid collisions, ensuring seamless performance.

Q:Can the system function on rainy days after rooftop photovoltaic installation?

Yes, our fully automated equipment is designed to operate even in rainy conditions, maintaining productivity while ensuring safety. Human-operated devices are not recommended in such weather to prevent risks like lightning.

Q:Are crawler robots an option, and are they cost-effective?

Absolutely! Crawler tracks offer exceptional cleaning friction and effectiveness, providing a highly efficient cleaning solution.

Q:How do we compare our equipment with competitors, and what are the advantages?

Our equipment stands out as efficient, durable, and reliable. We excel in delivering unmatched performance on these fronts, setting us apart from the competition.

Q:Can fallen leaves or debris on photovoltaic panels be detected by power output changes?

Large debris areas are usually detectable through power generation monitoring systems that highlight changes in output. However, minor debris may not always be noticeable in the data.