
Technical Standards and Application Guide for Pool Cleaning Equipment
iGarden Expert TeamSection 1 Safety Standards
In modern swimming pool design and construction, safety is always the primary consideration. With the continuous development of swimming pool technology and the growing demand for water sports, ensuring the safety of swimming pool equipment and systems has become particularly important. To standardize the safety standards of the swimming pool industry and protect the lives and health of users, a series of strict safety certification standards have been established internationally.
The core objective of the NSF/ANSI/CAN 50 standard is to set minimum requirements for materials and products that come into contact with water, ensuring they do not release harmful contaminants into the water.。
The UL 1081 standard is the main specification for the electrical safety of swimming pool equipment. This standard explicitly includes "electric swimming pool cleaners" within its scope and is an important basis for evaluating the electrical safety of robotic pool cleaners.
ISO 12100 is a fundamental standard in the field of machinery safety established by the International Organization for Standardization (ISO). This standard provides a systematic guiding framework for the safe design of mechanical equipment and is an important standard for modern industrial safety management.
Table 1: Safety Standards and Certifications in the Swimming Pool Industry
Standard/Certification | Scope of certification | Relevance to Robotic Pool Cleaners | Source |
---|---|---|---|
NSF/ANSI/CAN 50 | Material Safety/Non-toxic | Ensures that the materials used in the manufacture of the robot are non-toxic and will not release harmful chemicals or impurities into the pool water. | NSF/ANSI50-2024: Equipment and Chemicals for Swimming Pools |
UL 1081 | Electrical Safety | Confirms that the product and its power supply can operate safely in and around water, protecting users from electrical hazards. | Swimming Pool Pumps, Filters, and Chlorinators |
ISO 12100 | Mechanical Safety | Ensures the robot's design meets mechanical safety requirements, including preventing pinching by moving parts, avoiding cuts from sharp edges, and eliminating dangerous gaps that could trap fingers, providing a safe operating and maintenance environment for users. | Safety of machinery — General principles for design—Risk assessment and risk reduction |
Section 2 Basic Parameters for Selecting a Robotic Pool Cleaner
When purchasing a robotic pool cleaner, the performance indicators that users most often consider are as follows:
- Suction Strength (Pa): Represents the negative pressure generated at the suction inlet
- Flow Rate (GPH): Represents the volume of water that can be processed per unit of time.
- Filtration Accuracy (μm): The micrometer value represents the smallest particle size that the filter can capture; for reference, the diameter of a human hair is about 70μm.
- Filter Basket Capacity (L): The capacity of the filter basket determines how long the robot can work before it needs to be cleaned.
- Filter Basket Access: Top-access means the filter basket is removed from the top of the machine, while bottom-access means it is removed from the bottom.
- Motor Power (W): Determines suction and climbing ability.
- Number of Motors: Multiple motors allow for differential steering, which determines the robot's maneuverability.
- Noise Level (dB): Below 60dB is considered quiet.
Table 2: Basic Parameters and Purchasing Recommendations
Parameter | Unit/Option | Purchasing Recommendation |
---|---|---|
Suction Strength | Pa | Select based on the pool surface material: a higher value for tile pools, a medium value for soft-surface pools. |
Flow Rate | GPH | Select based on pool size: a higher flow rate for large pools, a lower flow rate for small pools. |
Filtration Accuracy | μm | Multi-stage filtration is more practical: coarse filtration for leaves, fine filtration for fine particles. |
Filter Type | Standard Filter Screen/ Nano Filter Screen/ Leaf Bag | Prioritize models that allow for the replacement of various filter types to adapt to different types of debris. |
Filter Basket Capacity | L | A larger capacity reduces the frequency of cleaning, but an overly large capacity can affect maneuverability. |
Battery Life | Minutes | It is better to choose a longer battery life to ensure a complete cleaning cycle can be completed. |
Charging Time | Hours | It is better to choose a faster charging time, but fast charging may affect battery life. |
Battery Cycle Life | Cycles | Affects the long-term cost of use; the higher the number, the better. |
Expected Lifespan | Years | Related to the brand and frequency of use; the higher the number, the better. |
Dry Weight | kg | Choose as needed, balancing stability and portability. |
Filter Basket Access | Top-access/Bottom-access | It is recommended to choose top-access, as it is more convenient and less prone to leakage. |
Operating Noise | dB | The lower, the better. |
Cleaning Coverage | Bottom/Walls/Waterline | It is recommended to choose a model with full coverage. |
Motor Power | W | Higher power provides stronger cleaning but consumes more energy. |
Number of Motors | Count | The more motors, the more agile the robot's movement. |
APP Control | Yes/No | Remote control and status monitoring. |
Scheduling Function | Yes/No | Automatic scheduled cleaning is more convenient. |
Section 3 Classification of Navigation Intelligence Levels
The navigation systems of robotic pool cleaners are undergoing a technological evolution from random-bounce to autonomous perception and planning. The core difference in their level of intelligence stems from the underlying navigation principles. To move beyond confusing marketing terms and establish an objective technical evaluation framework, it is necessary to systematically analyze the implementation mechanisms of different levels of intelligence based on academic principles such as random walk, inertial navigation, Simultaneous Localization and Mapping (SLAM), and reinforcement learning. This will provide a basis for technological discrimination and product selection based on first principles.
Table 3: Navigation Intelligence Levels
Level | L1-Random Bounce | L2-Pre-programmed Path | L3 - Scanning and Mapping | L4 - AI Adaptive and Predictive |
---|---|---|---|---|
Working Principle | Moves within the pool and, after hitting an obstacle (pool wall), turns at a random or fixed angle and continues forward. | Executes a pre-set cleaning program using inertial navigation elements like a gyroscope. It can travel in a straight line and make precise turns, but it does not know the specific layout of the pool。 | At the beginning of or during cleaning, it actively emits signals (light, sound) to scan the pool's boundaries, slopes, and obstacles, creating a 2D or 3D digital map in its memory. It then plans the optimal path to cover this specific map. | Not only can it map, but it can also learn and remember. It fuses data from multiple sensors to identify "heavily polluted areas" (e.g., where leaves accumulate). Through multiple cleanings, it continuously optimizes its cleaning strategy. |
Advantages | Extremely low cost, simple mechanical structure. | Mature technology, high reliability, and cost-effective. | Achieves full cleaning coverage for pools of any shape. | Truly intelligent cleaning with self-optimization and upgrade capabilities. |
Disadvantages | Inefficient and time-consuming. | Cannot recognize temporary obstacles not on the map; limited ability to handle irregularly shaped pools. | High cost, complex sensor system, and more potential points of failure. | Expensive, uses cutting-edge technology, and some advanced features may rely on cloud services. |
Source of Technical Principle | Random Walk Algorithm | Inertial Navigation & Dead Reckoning | Simultaneous Localization and Mapping | Reinforcement Learning for Path Planning |
Section 4 Long-Term Cost of Ownership and Maintenance
While enjoying the convenience, users may overlook the long-term cost of ownership of the equipment over its life cycle. From filter screens and roller brushes to batteries and motors, these key components have their own specific consumption and wear patterns. Knowing when to inspect, clean, or replace these parts can not only keep your robotic pool cleaner in optimal cleaning condition but also effectively extend its overall lifespan and avoid minor issues turning into costly repairs.
Table 4: Maintenance Items and Cost of Ownership
Item | Recommended Inspection/Replacement Frequency | Estimated Cost Range | Professional Tips | Source |
Filter Basket/Cartridge | Clean after each use, replace every 1-2 years | $15 - $170 | Regularly check for damage to avoid affecting filtration performance. | Automatic Pool Cleaner Market-Global Forecast |
Roller Brush | Inspect quarterly, replace every 1-3 years or when worn. | $28 - $125 | Worn bristles will severely impact cleaning and climbing ability. | |
Tracks/Tires | Inspect annually, replace every 2-4 years or when worn. | $20 - $95 | Affects the robot's mobility and climbing traction. | |
Battery | Replace every 3-5 years or after its cycle life ends. | $110-$1250+ | Longer charging times and a sharp decrease in battery life are signs for replacement. | Robotic Pool Cleaner Market Size, Share & Industry Analysis |
Motor (Drive/Pump) | Repair/replace when a malfunction occurs. | > $210 | It is crucial to choose a reputable brand with good after-sales service. | Robotic Pool Cleaner Market Outlook 2031 |
Appendix:
Technical Term | Definition |
---|---|
NSF/ANSI/CAN 50 | Safety certification standard that sets minimum requirements for materials and products in contact with water, ensuring materials do not release harmful contaminants into water |
UL 1081 | Electrical safety standards that can be used to evaluate the electrical safety of swimming pool robots |
ISO 12100 | International standard for machinery safety fundamentals, providing systematic guidance framework for safe design of mechanical equipment |
Pa (Pascal) | Unit of pressure, referring to the negative pressure intensity generated by the suction port |
GPH | Gallons Per Hour, indicating the volume of water that can be processed per unit time |
μm (Micrometer) | Unit of length, representing the filtration precision of the smallest particle size the filter can capture |
dB (Decibel) | Unit of sound intensity, used to measure noise level during equipment operation |
Random Walk Algorithm | Navigation algorithm where the robot moves randomly |
Inertial Navigation | Navigation method using gyroscopes and other inertial components |
Dead Reckoning | Navigation technique that calculates current position based on known previous position |
SLAM | Simultaneous Localization and Mapping technology |
Reinforcement Learning for Path Planning | Intelligent path planning technology based on reinforcement learning |