Water surface cleaning machine operation control method and device and water surface cleaning machine

Abstract

The invention belongs to the technical field of swimming pool cleaning equipment, and provides a water surface cleaning machine operation control method and device and a water surface cleaning machine. The method comprises the steps that S1, water surface cleaning machine operation preset parameters are initialized; s2, meteorological information of the position where the water surface cleaning machine is located and electric quantity information of the water surface cleaning machine are obtained based on the data acquisition assembly; and S3, the operation time correction value is updated based on the weather information and the electric quantity information, and the water surface cleaning machine is made to execute cleaning work according to the actual operation time. The method has the advantages that the running time and the pause time are dynamically distributed according to the real-time weather grade and the battery remaining capacity, and the cleaning effect of the swimming pool is kept while it is ensured that the electric quantity is fully utilized; meanwhile, by optimizing the operation time period and dynamically adjusting the charging and discharging strategy, renewable energy sources are utilized to the maximum extent, invalid energy consumption is reduced, and the equipment endurance is prolonged.

Description

A method, device, and water surface cleaning machine operation control system Technical Field

[0001] This invention relates to the field of swimming pool cleaning equipment technology, and in particular to a method, device and water surface cleaning machine operation control method. Background Technology

[0002] A pool cleaning robot is a fully automated, intelligent device designed specifically for pool cleaning. With its built-in power system, cleaning module, and intelligent control unit, it can autonomously clean the bottom, walls, and surface of the pool without continuous manual operation. It also has auxiliary functions such as water quality monitoring and chemical dosing, making it a core piece of equipment for modern pool maintenance.

[0003] Its essence is an integrated product of "underwater mobile robot + cleaning system". Unlike traditional manual cleaning tools, its core advantages are unmanned operation and precise cleaning, which can significantly reduce labor costs and improve cleaning efficiency and water quality stability.

[0004] However, most water surface cleaning machines currently used in swimming pools and similar settings operate under fixed time-sequence control or manual start / stop, relying solely on a simple low battery alarm function without a dynamic adjustment mechanism. Therefore, there is an urgent need for a water surface cleaning machine operation method that can dynamically adjust the operating sequence based on weather changes and real-time battery status. This would improve power utilization efficiency and cleaning targeting, reduce manual intervention costs, and meet the automated cleaning needs of swimming pools and similar settings. Summary of the Invention

[0005] This invention provides a cleaning machine operation method, device, and water surface cleaning machine, aiming to enable the cleaning machine to dynamically allocate operating time and pause time according to real-time weather level and remaining battery power, ensuring full utilization of power while maintaining the cleaning effect of the pool.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows: a water surface cleaning machine operation control method, comprising: initializing preset parameters for the operation of the water surface cleaning machine, the preset parameters including at least a basic operating time and an initial operating time correction value; acquiring meteorological information of the location of the water surface cleaning machine and the power information of the water surface cleaning machine based on a data acquisition component; updating the operating time correction value based on the meteorological information and the power information, and causing the water surface cleaning machine to perform cleaning operations according to the actual operating time, the actual operating time being determined based on the updated operating time correction value and the basic operating time.

[0007] Furthermore, meteorological information includes at least one of weather information and seasonal information, and weather information includes at least one of precipitation information, wind information, and sunshine information.

[0008] Furthermore, the initial runtime correction value is determined based on meteorological information at the location of the water surface cleaning machine.

[0009] Furthermore, when updating the runtime correction value, meteorological information and power information are divided into multiple levels to form a matching matrix, and the cleaning priority is determined based on the matching matrix; then the runtime correction value is updated according to the cleaning priority.

[0010] Furthermore, it also includes updating the runtime correction value based on the charging and discharging efficiency of the water surface cleaning machine.

[0011] Furthermore, when updating the runtime correction value, meteorological information, power information, and charging / discharging efficiency are divided into multiple levels to form a matching matrix, and the cleaning priority is determined based on the matching matrix; then the runtime correction value is updated according to the cleaning priority.

[0012] Furthermore, the cleaning priority is set with at least one level and a corresponding running time, and the running time correction value is updated based on the corresponding running time.

[0013] Furthermore, it also includes: after the water surface cleaning machine completes its actual running time, acquiring water surface cleaning effect data and power consumption data during the actual running time based on at least one sensor; and updating the corresponding running time in each cleaning priority based on the cleaning effect data and power consumption data.

[0014] The present invention also provides a water surface cleaning machine operation control device, the device including a processor, which executes a computer program stored in a memory to implement the steps of the above-described water surface cleaning machine operation control method.

[0015] The present invention also provides a water surface cleaning machine, including: a sensing module, which is equipped with a data acquisition component to acquire meteorological information of the location of the water surface cleaning machine and the power information of the water surface cleaning machine.

[0016] The control module, which is equipped with the aforementioned control device, executes the operation control method of the water surface cleaning machine based on the data sent by the sensing module.

[0017] The cleaning execution module is configured to perform cleaning operations according to the actual running time.

[0018] Compared with the prior art, the present invention has at least the following beneficial effects: (1) It integrates the four core dimensions of weather, season, power, and charging and discharging efficiency, avoids the limitations of single parameter control, and achieves accurate matching between equipment operation and environmental conditions and its own state; (2) Dynamic correction is more intelligent: Combining the seasonal-weather correction value formula and future weather forecast, it considers the real-time environmental impact and avoids the risk of future environmental changes in advance, balancing operating efficiency and energy saving; (3) By optimizing the operating time and dynamically adjusting the charging and discharging strategy, it maximizes the use of renewable energy, reduces ineffective energy consumption, and extends the equipment's battery life; (4) By prioritizing and implementing emergency strategies, it avoids equipment operation interruption caused by sudden environmental changes or insufficient power, and improves operating stability. Attached Figure Description

[0019] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0020] Figure 1 is a flowchart illustrating the operation control method of the water surface cleaning machine provided in this embodiment. Detailed Implementation

[0021] The following are specific embodiments of the present invention, and the technical solutions of the present invention will be further described in conjunction with the accompanying drawings. However, the present invention is not limited to these embodiments.

[0022] As shown in Figure 1, this embodiment provides an operation control method for a water surface cleaning machine, which includes the following steps: S1, initializing the preset operating parameters of the water surface cleaning machine; S2, acquiring meteorological information of the location of the water surface cleaning machine and the power information of the water surface cleaning machine based on the data acquisition component; S3, updating the operating time correction value based on the meteorological information and the power information, and enabling the water surface cleaning machine to perform cleaning operations according to the actual operating time.

[0023] The data acquisition component includes at least one of a sensor, a wired or wireless communication unit, and a mobile application interface, thereby acquiring corresponding data through physical detection devices (such as GPRS sensors, voltage sensors, etc.), or through Wi-Fi connection to a meteorological service platform, or through APP user interaction.

[0024] Specifically, the initialization of basic equipment operating parameters includes a base operating time and a seasonal / weather-based adjustment value for operating time based on electricity consumption. The base operating time is the operating time of a single cycle of the equipment, i.e., the operating time plus the pause time, and can be set according to the equipment's factory specifications or user requirements. The initial operating time adjustment value has a default scenario coefficient of 1 and can be customized based on region and equipment type. Simultaneously, the initial assignment rules for operating phase counts and pause phase counts are clearly defined.

[0025] Among them, the seasonal-weather correction formula is designed based on the environmental characteristics of different seasons. In summer, the sunlight is strong and the equipment load is high, so the fixed base of the correction value is the largest (for example, set to 20). In spring and winter, the environmental demand is low due to rain, so the fixed base is the smallest (set to 1), ensuring that the correction value is accurately matched with the actual operating requirements.

[0026] Therefore, in the cleaning operation of the water surface cleaning machine, it is executed according to the actual running time, which is determined based on the updated running time modification value and the basic running time.

[0027] The cleaning machine then collects multi-dimensional data synchronously through its built-in sensors and determines the corresponding level. Meteorological information includes at least one of weather information and seasonal information; weather information includes at least one of precipitation information, wind information, and sunshine information. Simultaneously, the sensors can be of different types; for example, a GPRS sensor can connect to a meteorological service platform to obtain current and 24-hour weather data (such as rainfall, wind speed, and sunshine duration); the power detection module uses a voltage sensor to collect real-time data on the cleaning machine's remaining battery power and charging / discharging efficiency.

[0028] Therefore, when updating the runtime correction value, the collected meteorological information, power information, and charging and discharging efficiency are divided into multiple levels to form a matching matrix, and the cleaning priority is determined based on the matching matrix; then the runtime correction value is updated according to the cleaning priority.

[0029] Weather rating: Based on light intensity and wind data, weather is classified as good (sunny / wind ≤2), average (cloudy / wind 3-4), or bad (rain / wind ≥5); Seasonal rating: Combining daily average temperature and air humidity, it is divided into summer (≥23℃ and ≥76%), transitional season (spring and autumn, 11-22℃ and 61-75%), and winter (≤10℃ and ≤60%); Battery capacity rating: The current battery capacity is detected by the battery management system and is divided into high capacity (≥70%), medium capacity (30%-70%), and low capacity (<30%); Charge / discharge efficiency rating: The battery charge / discharge conversion rate is monitored in real time and is divided into high efficiency (≥90%), medium efficiency (70%-90%), and low efficiency (<70%).

[0030] Therefore, by combining the preset "risk-power" matching matrix, the cleaning priority is initially determined, and then the dynamic running sequence is calculated based on the cleaning priority. By using the preset multi-dimensional parameter combination and the correspondence between priority and cycle number, the appropriate running parameters are accurately matched and output, realizing the dynamic linkage between parameters and environment and equipment status.

[0031] For example, "Good weather + Summer + High power + High efficiency level" corresponds to high priority (i.e., more operation, fewer pauses) and 3 cycles, in which case the operation count = 3 and the pause count = 1; "Normal weather + Winter + Medium power + Medium efficiency level" corresponds to low priority (i.e., power supply priority, simplified operation) and 1 short cycle, in which case the operation count = 1 and the pause count = 1. Through this matching rule, dynamic adaptation of operating parameters to equipment status and environmental conditions is achieved.

[0032] In the calculation of actual running time, a calculation logic of basic guarantee and dynamic correction is adopted. The core formula is: Actual running time of a single round = Basic running time of a single round + Running time correction value due to increased power consumption.

[0033] Preferably, the operation control method also incorporates access to meteorological services to obtain future weather forecasts and adjust the operation strategy according to preset rules. For example, when the water surface cleaning machine obtains power through solar charging, its core operation logic is to optimize the operating time when there is sufficient sunshine and prioritize power preservation when there is insufficient sunshine. Therefore, under the combined conditions of good weather, summer, and high power consumption, if there is sufficient sunshine tomorrow, 50% of the operating time will be scheduled during the midday sun period, and efficient charging will be started simultaneously; if there is no sunshine tomorrow, operation will stop directly and enter standby mode to avoid battery depletion.

[0034] Finally, after the water surface cleaning machine starts operating according to the actual running time, the equipment executes the following process: 1. Start-up phase: record the current time and run according to the actual running time of a single round; 2. After reaching the running time, switch to the pause phase: record the pause time and decrement the running count by 1; 3. After reaching the preset pause time, decrement the pause count by 1; 4. Repeat the run-pause cycle until the pause count = 0, at which point the current round of operation is terminated; If future weather correction rules trigger shutdown, standby, or recharge commands, these commands will be executed first.

[0035] Meanwhile, the sensor used for power detection provides real-time feedback on the battery status. When the remaining power is below the threshold, the "energy-saving operation mode" is automatically triggered, reducing the speed of the cleaning brush to extend the running time until the current cleaning cycle is completed and then stopping, and sending a charging reminder to the user terminal.

[0036] This embodiment dynamically adjusts the operating sequence based on the battery power level, combined with the energy-saving operating mode, which extends the effective battery utilization time, reduces the downtime rate, and significantly improves the power utilization efficiency.

[0037] Furthermore, after each 24-hour operating cycle, the water surface cleaning machine statistically analyzes the cleaning effect data and power consumption data for that day. This optimizes the parameters of the "risk-power" matching matrix, enabling self-learning iteration and improving the accuracy of subsequent time-series planning. The cleaning effect data can include suspended solids concentration data collected by water quality sensors.

[0038] This embodiment also provides a water surface cleaning machine operation control device. The control device includes a processor, which executes a computer program stored in a memory to implement the steps of the aforementioned water surface cleaning machine operation control method. This includes: a parameter preset module, which serves as the system's basic configuration unit, storing basic operating parameters, seasonal-weather correction value formulas, multi-dimensional level classification rules, priority-cycle number matching tables, and future weather correction rules, supporting initial parameter configuration and subsequent updates; a multi-dimensional sensing module, integrating various environmental sensors (light, wind, and rainfall sensors) and an equipment status detection unit (acquiring battery power and detecting charging and discharging efficiency), to achieve synchronous acquisition and level determination of multi-dimensional data, providing data support for parameter matching; a parameter matching module, receiving level data from the multi-dimensional sensing module, calling the preset matching table, outputting the corresponding priority and cycle number, and synchronously updating the running count and pause count values; and a correction value calculation module, which, based on the seasonal-weather level, calls the corresponding correction value formula from the formula library, substitutes the scene coefficient to calculate the power consumption increase running time correction value, and transmits the result. The system is divided into several modules: a running calculation module, a running control module, and a remote update module. The running calculation module calculates the actual running time of a single cycle by combining the time value with the running time correction value based on the increase in power consumption. It also obtains future weather forecast results, adjusts the running ratio, time period, and charging / discharging strategy according to the correction rules, and outputs the final running parameters. The running control module, which is the core control unit of the system, receives parameter instructions from the running calculation module, controls the equipment to execute a running-pause cycle, records the time of each stage in real time, updates the counting status, and continues until the termination conditions are met or a special strategy is triggered, such as shutdown or standby. The storage module is used to persistently store preset parameters, sensing data, running logs, correction results, and other information to provide data support for fault diagnosis and parameter optimization. The remote update module supports synchronizing the latest seasonal division rules, weather correction rules, and parameter matching tables through a cloud server, enabling system upgrades without on-site operation to adapt to the dynamic needs of different regions and scenarios.

[0039] This embodiment also provides a water surface cleaning machine, including: a sensing module, which is equipped with a data acquisition component to acquire meteorological information of the location of the water surface cleaning machine and the power information of the water surface cleaning machine.

[0040] The control module, which is equipped with the aforementioned control device, executes the aforementioned water surface cleaning machine operation control method based on the data sent by the sensing module.

[0041] The cleaning execution module is configured to perform cleaning operations according to the actual running time.

[0042] The water surface cleaning machine provided in this embodiment is based on a core architecture of a sensing module, a control module, and a cleaning execution module. Its core components include: a weather sensing unit for acquiring real-time weather data; a battery detection unit for collecting real-time battery status data; a central control module for data processing and timing planning to execute the aforementioned water surface cleaning machine operation control method; and a cleaning execution module for completing the water surface cleaning action. The water surface cleaning machine provided in this embodiment completes the entire operation process through data acquisition, level determination, timing calculation, and dynamic execution, thereby achieving intelligent operation driven by both weather and battery power factors.

[0043] The specific embodiments described herein are merely illustrative of the spirit of the invention. Those skilled in the art to which this invention pertains may make various modifications or additions to the described specific embodiments or use similar methods to substitute them, without departing from the spirit of the invention or exceeding the scope defined by the appended claims.

[0044] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative positional relationship and movement of each component in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indication will also change accordingly.

[0045] Furthermore, in this invention, descriptions involving terms such as "first," "second," and "a" are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0046] In this invention, unless otherwise explicitly specified and limited, the terms "connection," "fixed," etc., should be interpreted broadly. For example, "fixed" can mean a fixed connection, a detachable connection, or an integral part; it can mean a mechanical connection or an electrical connection; it can mean a direct connection or an indirect connection through an intermediate medium; it can mean the internal communication of two components or the interaction between two components, unless otherwise explicitly limited. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0047] Furthermore, the technical solutions of the various embodiments of the present invention can be combined with each other, but only if they are feasible for those skilled in the art. If the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such combination of technical solutions does not exist and is not within the scope of protection claimed by the present invention.

Claims

1. A method for controlling the operation of a water surface cleaning machine, characterized in that, include: Initialize the water surface cleaning machine's operating preset parameters, which include at least the basic operating time and the initial operating time correction value; The meteorological information of the location of the water surface cleaning machine and the power information of the water surface cleaning machine are obtained based on the data acquisition component. The operating time correction value is updated based on the meteorological and power information, and the water surface cleaning machine performs cleaning operations according to the actual operating time, which is determined based on the updated operating time correction value and the base operating time.

2. The method for controlling the operation of a water surface cleaning machine according to claim 1, characterized in that, The meteorological information includes at least one of weather information and seasonal information, and the weather information includes at least one of precipitation information, wind force information, and sunshine information.

3. A method for controlling the operation of a water surface cleaning machine according to claim 1 or 2, characterized in that, The initial operating time correction value is determined based on meteorological information at the location of the water surface cleaning machine.

4. The method for controlling the operation of a water surface cleaning machine according to claim 1, characterized in that, When updating the running time correction value, the meteorological information and power information are divided into multiple levels to form a matching matrix, and the cleaning priority is determined based on the matching matrix; then the running time correction value is updated according to the cleaning priority.

5. The method for controlling the operation of a water surface cleaning machine according to claim 1, characterized in that, It also includes updating the runtime correction value based on the charge and discharge efficiency of the water surface cleaning machine.

6. The method for controlling the operation of a water surface cleaning machine according to claim 5, characterized in that, When updating the runtime correction value, the meteorological information, power information, and charge / discharge efficiency are divided into multiple levels to form a matching matrix, and the cleaning priority is determined based on the matching matrix; then the runtime correction value is updated with the cleaning priority.

7. A method for controlling the operation of a water surface cleaning machine according to claim 4 or 6, characterized in that, The cleaning priority is set with at least one level and a corresponding running time, and the running time correction value is updated based on the corresponding running time.

8. The method for controlling the operation of a water surface cleaning machine according to claim 7, characterized in that, Also includes: After the water surface cleaning machine completes its actual operating time, it acquires water surface cleaning effect data and power consumption data during the actual operating time based on at least one data acquisition component; and updates the corresponding operating time in each cleaning priority based on the cleaning effect data and power consumption data.

9. A water surface cleaning machine operation control device, characterized in that, The device includes a processor for executing a computer program stored in a memory to implement the steps of the water surface cleaning machine operation control method as described in any one of claims 1-8.

10. A water surface cleaning machine, characterized in that, include: A sensing module, configured with at least one data acquisition component, acquires meteorological information of the location of the water surface cleaning machine and power information of the water surface cleaning machine; a control module, configured with the control device of claim 9, executes a water surface cleaning machine operation control method based on the data sent by the sensing module; and a cleaning execution module, configured to perform cleaning operations according to the actual running time.

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