Water-saving method and system for car washing machine based on intelligent water flow control

Abstract

The present application provides a water-saving method and system for a car washing machine based on intelligent water flow control, which relates to the field of water control technology. The method includes: collecting multi-source information of vehicles to be washed, and retrieving a car washing demand assessment plan to evaluate and analyze the vehicle images in the multi-source information to obtain a cleaning demand index; matching the car washing mode corresponding to the cleaning demand index, and collaboratively analyzing the car washing mode and the vehicle model in the multi-source information to obtain a predicted water demand; obtaining a three-stage water storage tank of the car washing machine, and pre-storing water with a predicted water demand in the circulating water section of the three-stage water storage tank; providing water with a predicted water demand to the distributed water outlet of the car washing machine through the circulating water section, and performing water-saving cleaning control on the vehicles to be washed. This application can solve the technical problem of poor water-saving efficiency in the car washing process in the prior art, and achieve the technical effect of improving water resource utilization and optimizing the cleaning effect.

Description

Technical Field

[0001] The present application relates to the field of water control technology, and in particular to a water-saving method and system for a car washing machine based on intelligent water flow control. Background Art

[0002] With the development of social economy and the improvement of people's living standards, cars have become an important means of transportation for people's daily travel. Car washing, as a key link in car maintenance, is in increasing demand.

[0003] While existing car washes utilize some form of water recycling technology, they often suffer from issues such as unstable recycled water quality, insufficient sewage treatment capacity, and imprecise water regulation, resulting in limited water conservation. Furthermore, existing technologies struggle to intelligently adjust water usage and cleaning modes based on the vehicle's actual dirtiness and vehicle type, leading to inefficient cleaning and excessive water use. Most car wash systems lack comprehensive multi-source vehicle information collection and intelligent analysis, making it difficult to accurately assess car wash needs and, consequently, developing targeted water-saving strategies, further limiting their potential for water conservation.

[0004] In summary, the existing technology has technical problems such as unstable recycled water quality, insufficient sewage treatment capacity and imprecise water control, which result in limited water-saving effects and make it difficult to meet the cleaning needs of vehicles with different degrees of dirtiness and models, further affecting the water-saving efficiency and cleaning quality during the car washing process. Summary of the Invention

[0005] The purpose of this application is to provide a water-saving method and system for a car washing machine based on intelligent water flow control, so as to solve the technical problems in the prior art, such as unstable recycled water quality, insufficient sewage treatment capacity and inaccurate water use regulation, which result in limited water-saving effects, make it difficult to meet the cleaning needs of vehicles with different degrees of dirtiness and different models, and further affect the water-saving efficiency and cleaning quality during the car washing process.

[0006] In view of the above problems, the present application provides a water-saving method and system for a car washing machine based on intelligent water flow control.

[0007] In the first aspect, the present application provides a water-saving method for a car washing machine based on intelligent water flow control, which is implemented through a water-saving system for a car washing machine based on intelligent water flow control, including: collecting multi-source information of vehicles to be washed, and retrieving a car washing demand assessment plan to evaluate and analyze the vehicle images in the multi-source information to obtain a cleaning demand index; matching the car washing mode corresponding to the cleaning demand index, and collaboratively analyzing the car washing mode and the vehicle model in the multi-source information to obtain a predicted water demand; obtaining a three-stage water storage tank of the car washing machine, and pre-storing the water with the predicted water demand in the circulating water section of the three-stage water storage tank; providing the distributed water outlet of the car washing machine with the predicted water demand through the circulating water section, and performing water-saving cleaning control on the vehicles to be washed.

[0008] Preferably, the water-saving method for a car washing machine based on intelligent water flow control also includes: extracting a first image from the vehicle image and obtaining a first multidimensional feature of the first image; analyzing the first multidimensional feature to obtain a first dirt coefficient of a first part corresponding to the first image; descending the first dirt coefficient to obtain a dirt coefficient sequence, and obtaining the first dirt coefficient in the dirt coefficient sequence; weighting the first dirt coefficient in combination with a predetermined cleaning demand factor to obtain the cleaning demand index.

[0009] Preferably, the water-saving method for a car washing machine based on intelligent water flow control also includes: performing significance partitioning on the first image to obtain a first partitioning result, wherein the first partitioning result includes a first significant area and a first non-significant area; sequentially matching the first feature set of the first significant area and the second feature set of the first non-significant area in the first multidimensional feature; comparing the first feature set with the second feature set to obtain the first dirt coefficient, which includes: comparing the first color feature value in the first feature set with the second color feature value in the second feature set to obtain a color deviation value; comparing the first texture feature value in the first feature set with the second texture feature value in the second feature set to obtain a texture deviation value; and based on the color deviation value and the texture deviation value, performing a variation weighted calculation to obtain the first dirt coefficient.

[0010] Preferably, the water-saving method for a car washing machine based on intelligent water flow control also includes: obtaining the predetermined water requirement per unit area corresponding to the car washing mode; obtaining the total surface area of ​​the vehicle to be washed according to the vehicle model, and obtaining the predicted water requirement in combination with the predetermined water requirement per unit area.

[0011] Preferably, the water-saving method for a car washing machine based on intelligent water flow control also includes: providing the predicted water demand to the distributed water outlet through the circulating water section to flush and moisten the vehicle to be washed; collecting the wastewater after flushing and moistening, and storing it in the wastewater section in the three-stage water storage tank; activating the clean water section in the three-stage water storage tank to purify the pretreated wastewater after treatment by the wastewater section to obtain circulating water; storing the circulating water in the circulating water section, and recycling the circulating water through the distributed water outlet.

[0012] Preferably, the water-saving method for a car washing machine based on intelligent water flow control also includes: a predetermined reagent in the wastewater section undergoes a coagulation reaction with the wastewater to form dirt particles; a microbubble generator communicatively connected to the wastewater section is activated to form microbubbles; the dirt particles are mixed with the microbubbles to obtain a scum mixture, and the pretreated wastewater is formed; wherein the predetermined reagent includes a predetermined coagulant and a predetermined coagulant aid.

[0013] Preferably, the water-saving method for a car washing machine based on intelligent water flow control further includes: the water purification section purifies the pretreated wastewater to obtain the circulating water, wherein the purification process includes three processing steps of separation, filtration and disinfection.

[0014] Preferably, the water-saving method for a car washing machine based on intelligent water flow control also includes: obtaining the cleaning level corresponding to the car washing mode, and matching the water-saving cleaning plan corresponding to the cleaning level; performing water-saving cleaning control on the vehicle to be washed according to the water-saving cleaning plan; wherein, it includes: when the cleaning level is level one, activating the heating controller connected to the distributed water outlet for communication, and performing level one heating control on the steam generator through the heating controller; according to the water-saving cleaning plan, under the level one heating control, the steam generator converts the circulating water into a steam state, and performs steam cleaning on the vehicle to be washed; when the cleaning level is level two, activating the heating controller connected to the distributed water outlet for communication, and performing level two heating control on the steam generator through the heating controller; according to the water-saving cleaning plan, under the level two heating control, the steam generator converts the circulating water into a steam-water mist state, and performs a steam-water mist mixed cleaning on the vehicle to be washed; wherein, the temperature of the level one heating control is higher than the temperature of the level two heating control.

[0015] Preferably, the water-saving method for a car washing machine based on intelligent water flow control also includes: when the cleaning level is level three, the distributed water outlets are controlled to spray water according to the water flow control strategy in the water-saving cleaning plan to wash the vehicle to be washed; wherein, the water flow control strategy includes a predetermined pressure, a predetermined flow rate and a predetermined spray angle.

[0016] In the second aspect, the present application also provides a car washing machine water-saving system based on intelligent water flow control, which is used to execute the car washing machine water-saving method based on intelligent water flow control as described in the first aspect, including: a cleaning demand index acquisition module, which is used to collect and obtain multi-source information of the vehicle to be washed, and call the car washing demand assessment plan to evaluate and analyze the vehicle image in the multi-source information to obtain the cleaning demand index; a predicted water demand acquisition module, which is used to match the car washing mode corresponding to the cleaning demand index, and collaboratively analyze the car washing mode and the vehicle model in the multi-source information to obtain the predicted water demand; a water pre-storage module, which is used to obtain the three-stage water storage tank of the car washing machine, and pre-store the water of the predicted water demand in the circulating water section of the three-stage water storage tank; a water-saving washing control module, which is used to provide the distributed water outlet of the car washing machine with the predicted water demand through the circulating water section, and perform water-saving washing control on the vehicle to be washed.

[0017] The technical solution provided in this application has at least the following technical effects or advantages: by realizing the technical goal of intelligently evaluating cleaning needs based on multi-source information and accurately regulating water consumption, the technical effects of improving water resource utilization, optimizing cleaning effects and reducing environmental pollution are achieved.

[0018] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, which can be implemented in accordance with the contents of the description, and to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically listed below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in this application or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely exemplary, and a person of ordinary skill in the art can obtain other drawings based on the provided drawings without creative work.

[0020] Figure 1 This is a flow chart of the water-saving method for a car washing machine based on intelligent water flow control in this application.

[0021] Figure 2 This is a structural diagram of the water-saving system of a car washing machine based on intelligent water flow control in this application.

[0022] Description of the accompanying drawings: cleaning demand index obtaining module 1, predicted water demand obtaining module 2, water pre-storage module 3, water-saving cleaning control module 4. DETAILED DESCRIPTION

[0023] This application provides a water-saving method and system for car washers based on intelligent water flow control, addressing the existing technical issues of limited water conservation due to unstable recycled water quality, insufficient sewage treatment capacity, and imprecise water control. This makes it difficult to meet the cleaning needs of vehicles with varying degrees of dirtiness and vehicle models, further impacting water conservation efficiency and cleaning quality during the car wash process. This method achieves the technical goal of intelligently assessing cleaning needs based on multi-source information and precisely controlling water consumption, thereby improving water resource utilization, optimizing cleaning results, and reducing environmental pollution.

[0024] Below, the technical solutions in this application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this application, rather than all the embodiments of this application. It should be understood that this application is not limited to the example embodiments described herein. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application. It should also be noted that, for the convenience of description, only the parts related to this application, rather than all of them, are shown in the accompanying drawings.

[0025] For example, see the attached Figure 1 This application provides a water-saving method for a car washing machine based on intelligent water flow control, which is applied to a water-saving system for a car washing machine based on intelligent water flow control, and specifically includes the following steps:

[0026] S1: Collect multi-source information of vehicles to be washed, retrieve a car wash demand assessment plan, evaluate and analyze vehicle images in the multi-source information, and obtain a washing demand index.

[0027] Specifically, various sensors and data interfaces are used to acquire diverse vehicle data, including images, model information, historical car wash records, and sensor monitoring data. Multi-source information represents comprehensive data from various channels and devices, comprehensively reflecting the vehicle's status and characteristics. A vehicle to be washed refers to a target vehicle that currently requires cleaning. The car wash needs assessment plan is then retrieved to evaluate and analyze vehicle images from the multi-source information. This involves filtering, processing, and analyzing vehicle image data from the multi-source information based on a pre-defined assessment plan. The car wash needs assessment plan incorporates image processing algorithms, dirt detection rules, and a needs calculation model to determine the intensity and extent of a vehicle's cleaning needs. By quantifying the dirt content on the vehicle surface in the image, a numerical indicator is calculated, resulting in a cleaning needs index that reflects the urgency and extent of the vehicle's need for cleaning.

[0028] S2: Matching a car wash pattern corresponding to the cleaning demand index, and collaboratively analyzing the car wash pattern and the vehicle model in the multi-source information to obtain a predicted water demand.

[0029] Specifically, matching the wash mode to the wash demand index involves selecting an appropriate wash strategy within a preset threshold range based on the calculated wash demand index. The wash demand index is a numerical value reflecting the degree of dirtiness on the vehicle's surface. By comparing it with multiple preset thresholds, the appropriate wash mode is automatically determined for the vehicle. Wash modes refer to different washing plans, encompassing various aspects such as water consumption, cleaning methods, and equipment operating parameters.

[0030] Collaborative analysis of car wash patterns and vehicle models from multiple sources involves making a comprehensive assessment based on the vehicle model data after determining the car wash pattern. The vehicle model represents the specific type and specifications of the vehicle, with different models corresponding to different body dimensions and structural characteristics. This collaborative analysis combines the water demand of the car wash pattern with the physical characteristics of the vehicle, resulting in more accurate predictions and ensuring the optimal allocation of water resources. By comprehensively calculating the car wash pattern and vehicle model, the water volume required to complete the current car wash task is calculated, resulting in a predicted water demand. This reflects the appropriate amount of water resources required during the car wash process and is used to guide water volume preparation and outlet control in the circulating water section.

[0031] S3: Obtain a three-stage water storage tank of the car washing machine, and pre-store the water of the predicted water demand in the circulating water section of the three-stage water storage tank.

[0032] Specifically, the three-stage water storage tank of the car washing machine refers to a water storage device equipped with a structure divided into three parts, which is used to manage water resources in different zones. The three-stage water storage tank includes a circulating water section, a wastewater section and a clean water section. Each section undertakes different water treatment and storage functions, which facilitates the recycling and purification of water. The circulating water section in the three-stage water storage tank pre-stores the water with the predicted water demand, which means that the corresponding volume of water is stored in the circulating water section in advance according to the calculated predicted water demand. The circulating water section is specifically used to store treated and reusable water resources, and then directly supplies them to the distributed water outlets during the car washing process to achieve a water-saving effect. Pre-storage ensures the continuity and stability of water use when washing the car.

[0033] S4: Providing the predicted water demand to the distributed water outlets of the car washing machine through the circulating water section, and performing water-saving washing control on the vehicle to be washed.

[0034] Specifically, the distributed water outlets of the car washing machine are provided with water of predicted water demand through the circulating water section, which means that the purified and stored water is extracted from the circulating water section in the three-stage water storage tank, and accurately supplied to the distributed water outlets of the car washing machine according to the calculation results of the predicted water demand. The circulating water section is a part of the storage and recycling of water resources to ensure the continuity and stability of water use. Distributed water outlets refer to nozzles installed in multiple key parts of the car washing machine, which can evenly cover the surface of the vehicle and achieve efficient cleaning. Water-saving washing control of the vehicle to be washed refers to the use of prepared circulating water to wash the vehicle through reasonable water volume and water flow control strategies. Water-saving washing control covers the intelligent management of parameters such as water flow intensity, spray angle, and cleaning time, so as to achieve the purpose of reducing water consumption while ensuring cleaning effect.

[0035] Furthermore, the present application also includes: extracting the first image from the vehicle image and obtaining the first multidimensional feature of the first image; analyzing the first multidimensional feature to obtain the first dirt coefficient of the first part corresponding to the first image; descending the first dirt coefficient to obtain a dirt coefficient sequence, and obtaining the first dirt coefficient in the dirt coefficient sequence; weighting the first dirt coefficient in combination with a predetermined cleaning requirement factor to obtain the cleaning requirement index.

[0036] Specifically, extracting the first image from the vehicle image and obtaining the first multidimensional features of the first image refers to using an imaging device to visually capture the vehicle to be washed, thereby obtaining image data that can be used for analysis. The first image refers to a representative image selected from multiple angles or multiple frames, which has the saliency of including features of key vehicle parts (such as the side of the vehicle, hood, or tire area). Obtaining the first multidimensional features refers to extracting features from the first image, including color features, texture features, brightness features, and edge profile information. These features can be constructed into high-dimensional feature vectors to describe different dimensions of the vehicle's surface condition.

[0037] Furthermore, analyzing the first multidimensional features to obtain a first dirt coefficient for the first portion corresponding to the first image involves comparing the extracted multidimensional features with a cleanliness benchmark model to assess the degree of contamination of a specific portion of the vehicle (e.g., a door) in the image. The first portion refers to a significantly cleaned area defined in the image, and the dirt coefficient reflects physical characteristics such as the concentration, coverage, or adhesion thickness of the dirt on the surface of that portion. For example, darker color features, increased texture roughness, or increased brightness unevenness may be interpreted by the system as severe contamination. The first dirt coefficient is calculated by setting a feature deviation threshold. For example, if the color channel deviation exceeds 30 units and the texture gradient is greater than 15 units, a heavy pollution level of 0.8 can be assessed.

[0038] Subsequently, the first dirt coefficient is sorted in descending order to obtain a dirt coefficient sequence. Obtaining the first dirt coefficient in the dirt coefficient sequence involves sorting the dirt coefficients corresponding to multiple parts of the same vehicle image from high to low numerically to form a sequenced structure. The first dirt coefficient is the dirt score for the most heavily contaminated area, reflecting the most visually obvious and most in need of cleaning. For example, the dirt coefficients of an SUV's roof, rear, and door are 0.4, 0.6, and 0.9, respectively. After sorting, the door's 0.9 is the first dirt coefficient.

[0039] The primary dirt coefficient is then weighted using predetermined cleaning demand factors to create a cleaning demand index. This involves reprocessing the dirt data by incorporating a set of parameters related to vehicle type, usage scenario, or user preferences. Predetermined cleaning demand factors can include vehicle color (e.g., light-colored vehicles are more susceptible to dirt), climate (e.g., mud buildup after rain), and driving path (e.g., construction sites or rural roads are more prone to dust). The system assigns weights based on these factors. For example, a light-colored vehicle with a weight of 1.2 and a rainy day with a weight of 1.5 would yield a primary dirt coefficient of 0.9, resulting in a weighted cleaning demand index of 1.62, reflecting a higher need for cleaning. Table 1 shows the calculation record of the cleaning demand index.

[0040] Table 1: Cleaning demand index calculation record

[0041]

[0042] Furthermore, the present application also includes: performing saliency partitioning on the first image to obtain a first partitioning result, wherein the first partitioning result includes a first salient area and a first non-salient area; matching the first feature set of the first salient area and the second feature set of the first non-salient area in the first multidimensional feature in sequence; comparing the first feature set with the second feature set to obtain the first dirt coefficient, which includes: comparing the first color feature value in the first feature set with the second color feature value in the second feature set to obtain a color deviation value; comparing the first texture feature value in the first feature set with the second texture feature value in the second feature set to obtain a texture deviation value; based on the color deviation value and the texture deviation value, performing a variation weighted calculation to obtain the first dirt coefficient.

[0043] Specifically, saliency partitioning is performed on the first image to obtain a first partitioning result, which includes a first salient region and a first non-salient region. This refers to the regional division of the initially acquired vehicle image. A saliency detection algorithm is used to identify regions with significant visual changes in the image and divide them into regions of interest and non-salient regions. Saliency partitioning is based on visual elements such as brightness gradient, edge contours, and color contrast to cluster the image. The first salient region refers to image areas with obvious visual changes or dirt features, such as wheel areas, front and rear bumpers, or under doors. The first non-salient region is typically manifested as background areas with less visual changes or smooth, dirt-free areas.

[0044] Sequentially matching the first feature set of the first salient area and the second feature set of the first non-salient area in the first multidimensional features refers to extracting the image features of the corresponding areas based on the segmentation results. Multidimensional features include multiple descriptive dimensions such as color channel values, texture direction intensity, and local gradient histograms. The first feature set refers to a set of high-dimensional data points corresponding to the first salient area, while the second feature set refers to a set of data with similar structures but weaker visual features corresponding to the first non-salient area. The matching process typically uses a sliding window method or feature template matching method to extract feature subsets corresponding to the spatial locations of the two types of regions from the overall image features.

[0045] Comparing the first feature set with the second feature set to obtain the first dirtiness coefficient involves performing a quantitative difference analysis on the two sets of feature data, calculating the degree of deviation in each dimension, and using this information to estimate the dirtiness level in the local area of ​​the image. The dirtiness coefficient is a comprehensive indicator of regional cleanliness, reflecting the visual intensity of contamination in prominent areas compared to less prominent areas. The dirtiness coefficient ranges from 0 to 1, with higher values ​​indicating dirtier areas and resulting in higher priority cleaning in subsequent cleaning control.

[0046] Comparing the first color feature value in the first feature set with the second color feature value in the second feature set to obtain the color deviation value refers to extracting the numerical difference in the color channels of the two regions, such as the average difference in the red, green, and blue channel values, or the change in color saturation. The color deviation value can indicate whether there is oil, silt, or dust accumulation in a local area. For example, dust accumulation can cause the value of the blue channel to drop, resulting in a color feature value shift of more than 20 units in that area.

[0047] The texture deviation value is calculated by comparing the first texture feature value in the first feature set with the second texture feature value in the second feature set. This value is based on the difference in texture features between the two regions in the image, such as texture roughness, directional structural consistency, or local frequency response. The texture deviation value can reflect the interference of details caused by the adhesion of dirt. For example, a car door with a uniform surface texture may experience high-frequency disturbances after being covered with mud, increasing the standard deviation of the texture gradient by 35 units.

[0048] Based on the color and texture deviation values, a variation-weighted calculation is performed to determine the first contamination coefficient. This involves weighting the two deviation indicators according to a set weight ratio to form a comprehensive regional pollution score. The variation-weighted algorithm adaptively adjusts the weighting of color and texture for different vehicles or environments. For example, for light-colored vehicles, the weighting might be set to 60% for color and 40% for texture, more accurately reflecting the actual visual impact of surface dirt on the vehicle.

[0049] Furthermore, the present application also includes: obtaining a predetermined water requirement per unit area corresponding to the car wash mode; obtaining a total surface area of ​​the vehicle to be washed according to the vehicle model, and obtaining the predicted water requirement in combination with the predetermined water requirement per unit area.

[0050] Specifically, obtaining the predetermined water demand per unit area for a car wash mode involves identifying the currently required car wash mode and then invoking the standard water demand parameters corresponding to that mode. Car wash modes are typically set based on the vehicle's contamination level, user preferences, or environmental conditions, and include standard water wash, steam wash, and high-pressure rinse modes. The water demand per unit area for each mode is preset to a standard value during the design phase. The water demand per unit area refers to the amount of water required per square meter of vehicle surface, measured in liters per square meter. For example, it might be 2 liters per square meter in standard mode and 3 liters per square meter in high-pressure mode.

[0051] Determining the total surface area of ​​the vehicle to be washed based on the vehicle model and combining it with the predetermined water requirement per unit area to derive the predicted water requirement involves using the vehicle model to search and calculate the total surface area of ​​the vehicle model under standard conditions in a vehicle database. This total surface area is then multiplied by the aforementioned water requirement per unit area to obtain the predicted amount of water required to complete a car wash. The vehicle model is a manufacturer-defined vehicle model identifier. Different models represent different sizes and structural layouts. For example, a compact sedan might have a surface area of ​​8 square meters, while an SUV might have an area of ​​11 square meters. Automatically accessing the vehicle model's external structural data after identifying the vehicle model avoids manual measurement errors.

[0052] Furthermore, dynamic predictions can be made by combining car wash modes with vehicle size. For example, if the water demand per unit area in steam-mixed wash mode is 1.5 liters per square meter, the system automatically calculates the required water volume for a compact SUV with a surface area of ​​9 square meters to be 13.5 liters. Meanwhile, for a large SUV with a surface area of ​​11 square meters, the predicted water demand under the same mode is 16.5 liters. Since total surface area and water demand increase linearly, this prediction can be used to pre-allocate an equal amount of water from the water storage system, and the wash time and water pressure can be adjusted simultaneously to optimize water conservation.

[0053] Furthermore, the present application also includes: providing the predicted water demand to the distributed water outlet through the circulating water section to flush and moisten the vehicle to be washed; collecting the wastewater after flushing and moistening, and storing it in the wastewater section in the three-stage water storage tank; activating the clean water section in the three-stage water storage tank to purify the pretreated wastewater after treatment by the wastewater section to obtain circulating water; storing the circulating water in the circulating water section, and recycling the circulating water through the distributed water outlet.

[0054] Specifically, the distributed water outlets are supplied with the predicted water demand through the circulating water section. This involves drawing pre-stored water from the circulating water section of the three-stage water storage tank and delivering it through a pipeline system to multiple distributed water outlets. Distributed water outlets are multiple nozzles or water pipe outlets installed at different locations on the car wash machine, which are used to evenly spray water onto the vehicle surface for comprehensive coverage. Flushing and wetting involves using the supplied water to initially wet the vehicle's exterior, facilitating subsequent cleaning of dirt.

[0055] The wastewater section of the three-stage water storage tank collects and stores the water from vehicle surfaces. This section collects and stores the water from the vehicle surface, directing it to the wastewater section of the storage tank for centralized collection. The wastewater section is specifically designed to temporarily store recycled water containing impurities such as dirt and sediment for subsequent purification. This wastewater collection process effectively prevents water waste and reduces environmental pollution.

[0056] Activating the clean water section of the three-stage water storage tank purifies the pre-treated wastewater from the wastewater section to produce recycled water. This involves activating the specially configured clean water section within the water storage tank to deeply purify the pre-treated water in the wastewater section. The clean water section includes filtration, sedimentation, and disinfection, transforming the wastewater into clean water that meets recycling standards. Recycled water is the purified water that is returned to use.

[0057] Circulating water is stored in the circulating water section and recycled through distributed outlets. Purified water is then re-injected into the circulating water section, forming a closed-loop water system. Distributed outlets are used to supply circulating water to vehicle surfaces at multiple points, achieving water conservation and continuous cleaning capabilities.

[0058] Furthermore, the present application also includes: the predetermined reagent in the wastewater section undergoes a coagulation reaction with the wastewater to form dirt particles; the microbubble generator that is in communication with the wastewater section is activated to form microbubbles; the dirt particles are mixed with the microbubbles to obtain a scum mixture, and the pretreated wastewater is formed; wherein the predetermined reagent includes a predetermined coagulant and a predetermined coagulant aid.

[0059] Specifically, a predetermined reagent in the wastewater section reacts with the wastewater to form dirt particles. This involves adding specific chemical reagents to the wastewater section. These chemical reagents chemically bind suspended impurities and small particles in the wastewater to form larger, more easily separable dirt particles. Agglomeration is the process by which tiny particles, through the action of the reagents, aggregate into clumps, facilitating subsequent physical separation.

[0060] Activating the microbubble generator, which is connected to the wastewater section, generates microbubbles. This involves activating the microbubble generator installed in the wastewater section, releasing a large number of micron-sized bubbles into the wastewater. Microbubbles have a strong buoyancy and large surface area, adsorbing suspended matter and dirt particles, improving wastewater purification efficiency. This communication connection allows the microbubble generator to exchange information and collaborate with the wastewater section through the control system.

[0061] Dirt particles mix with microbubbles to form a scum mixture, which forms pretreated wastewater. This means that dirt particles are carried upward by the microbubbles, forming a scum mixture of bubbles and particles. The scum mixture can be easily separated from the wastewater through flotation or mechanical methods. Pretreated wastewater refers to water that has undergone this step and has significantly reduced impurity content, making it suitable for the next purification step.

[0062] The pre-determined reagents include a pre-determined coagulant and a pre-determined coagulant aid. This means that to achieve an efficient coagulation reaction, the reagent combination consists of a coagulant and a coagulant aid. The coagulant is primarily responsible for destabilizing suspended particles in the water and promoting particle aggregation, while the coagulant aid accelerates particle bonding and sedimentation, improving the overall treatment effect.

[0063] Furthermore, the present application also includes: the water purification section purifies the pretreated wastewater to obtain the circulating water, wherein the purification process includes three processing steps of separation, filtration and disinfection.

[0064] Specifically, the water purification section purifies the pre-treated wastewater, directing it through the water purification section for further water quality improvement to meet recycling standards. The water purification section is a specialized treatment unit within the water storage tank, equipped with a variety of purification equipment to improve water quality and remove residual suspended matter and harmful microorganisms.

[0065] After separation, filtration, and disinfection in the water purification stage, the treated water reaches reusable quality and becomes a recycled water resource, known as recycled water. Circulating water refers to treated water that can be reused repeatedly in the car wash process, achieving water conservation goals by reducing fresh water consumption.

[0066] Purification includes the steps of separation, filtration, and disinfection. Separation physically separates solid particles and sediment from the liquid in the water, typically using a sedimentation tank or centrifuge. Filtration utilizes filter media such as screens, activated carbon, or membrane materials to remove fine suspended matter and impurities from the water, improving its cleanliness. Disinfection uses chemicals such as chlorine or ultraviolet light to kill bacteria, viruses, and other microorganisms in the water, ensuring water quality is safe and meets recycling standards.

[0067] Furthermore, the present application also includes: obtaining the cleaning level corresponding to the car wash mode, and matching the water-saving cleaning plan corresponding to the cleaning level; performing water-saving cleaning control on the vehicle to be washed according to the water-saving cleaning plan; wherein, including: when the cleaning level is level one, activating the heating controller connected to the distributed water outlet for communication, and performing level one heating control on the steam generator through the heating controller; according to the water-saving cleaning plan, under the level one heating control, the steam generator converts the circulating water into a steam state, and performs steam cleaning on the vehicle to be washed; when the cleaning level is level two, activating the heating controller connected to the distributed water outlet for communication, and performing level two heating control on the steam generator through the heating controller; according to the water-saving cleaning plan, under the level two heating control, the steam generator converts the circulating water into a steam-water mist state, and performs a steam-water mist mixed cleaning on the vehicle to be washed; wherein, the temperature of the level one heating control is higher than the temperature of the level two heating control.

[0068] Specifically, obtaining the wash level corresponding to a car wash mode and matching it with a water-saving wash plan involves further identifying the corresponding wash intensity level based on the determined car wash mode. Wash levels represent different water flow and temperature control schemes during the car wash process, while water-saving wash plans are the specific water-saving measures and operational procedures developed for each level. This matching process ensures that the selected plan aligns with current cleaning needs, thereby achieving efficient water conservation.

[0069] Water-saving washing control for vehicles based on a water-saving wash plan involves adjusting equipment parameters and water resource allocation according to the plan to achieve a water-saving wash operation. Water-saving wash control encompasses the coordinated management of multiple factors, including heating equipment, water pressure, and spray patterns, to achieve a balance between cleaning effectiveness and water conservation.

[0070] When the cleaning level is level 1, the heating controller connected to the distributed water outlet is activated and controls the steam generator through the heating controller for level 1 heating. This means that at the highest cleaning intensity, the heating controller is activated and the steam generator is remotely controlled through the communication interface to reach the level 1 heating setting. Level 1 heating control refers to a higher temperature setting used to generate high-temperature steam for enhanced cleaning results.

[0071] According to the water-saving cleaning plan, under primary heating control, the steam generator converts circulating water into steam for steam cleaning of the vehicle. This process involves heating the circulating water to vaporization temperature, converting the liquid into steam. This high-temperature steam is then sprayed onto the vehicle surface, achieving a deep cleansing effect. Steam cleaning is both water-saving and environmentally friendly, making it suitable for heavily soiled vehicles.

[0072] When the cleaning level is set to Level 2, the heating controller connected to the distributed water outlet is activated and controls the steam generator through Level 2 heating. This means that at a medium cleaning intensity, the heating controller starts at a lower temperature setting, controlling the steam generator to produce a mixture of steam and water mist. The Level 2 heating control temperature is lower than the Level 1 heating control temperature and is suitable for moderately dirty vehicles.

[0073] According to the water-saving cleaning plan, under secondary heating control, the steam generator converts circulating water into steam mist, which is then applied to the vehicle. This means that the steam generator partially vaporizes the water to form steam, while the remaining water remains in mist. The two are then sprayed onto the vehicle surface, achieving a balance between cleaning and water conservation. Steam mist cleaning is particularly effective for light to moderate stains.

[0074] The primary heating control temperature is higher than the secondary heating control temperature, indicating that different cleaning levels achieve different cleaning intensities by adjusting the heating temperature. The primary heating may reach above 120 degrees Celsius, while the secondary heating is maintained in the range of 80 to 100 degrees Celsius, ensuring the equipment's flexibility to adapt to different needs.

[0075] Furthermore, the present application also includes: when the cleaning level is level three, the distributed water outlet is controlled to spray water according to the water flow control strategy in the water-saving cleaning plan, and the vehicle to be washed is washed with water; wherein, the water flow control strategy includes a predetermined pressure, a predetermined flow rate and a predetermined spray angle.

[0076] Specifically, at Level 3, the distributed water outlets are controlled according to the water flow control strategy in the water-saving cleaning plan. This means that at the lowest cleaning intensity level, the vehicle surface is gently washed by controlling the water flow parameters specified in the water-saving cleaning plan. Level 3 represents a less contaminated vehicle and is suitable for a gentler water spraying method, conserving water resources.

[0077] Water washing involves spraying a controlled stream of water directly onto the vehicle surface to remove loose dust and minor stains. As a basic cleaning method, water washing, combined with a water flow control strategy, can minimize water consumption while ensuring effective cleaning results.

[0078] The water flow control strategy includes predetermined pressure, predetermined flow rate, and predetermined spray angle. This means the water-saving cleaning plan optimizes the water spray process through three key parameters. The predetermined pressure refers to the pressure at the time of water spray, measured in megapascals or kilopascals; the predetermined flow rate is the volume of water sprayed per unit time, measured in liters per minute; and the predetermined spray angle is the angle range within which the nozzle sprays the water, affecting coverage and impact force. Properly setting these parameters ensures that the water flow effectively covers the vehicle surface while minimizing water waste.

[0079] To sum up, the water-saving method for car washing machines based on intelligent water flow control provided in this application has the following technical effects: by realizing the technical goal of intelligently evaluating cleaning needs based on multi-source information and accurately controlling water consumption, the technical effects of improving water resource utilization, optimizing cleaning effects and reducing environmental pollution are achieved.

[0080] In the second embodiment, based on the same inventive concept as the water-saving method for a car washing machine based on intelligent water flow control in the previous embodiment, this application also provides a water-saving system for a car washing machine based on intelligent water flow control. Figure 2 , including: a cleaning demand index obtaining module 1, used to collect and obtain multi-source information of vehicles to be washed, and call the car washing demand assessment plan to evaluate and analyze the vehicle images in the multi-source information to obtain a cleaning demand index; a predicted water demand obtaining module 2, used to match the car washing mode corresponding to the cleaning demand index, and collaboratively analyze the car washing mode and the vehicle model in the multi-source information to obtain the predicted water demand; a water pre-storage module 3, used to obtain a three-stage water storage tank of a car washing machine, and pre-store the water of the predicted water demand in the circulating water section of the three-stage water storage tank; a water-saving washing control module 4, used to provide the distributed water outlet of the car washing machine with the water of the predicted water demand through the circulating water section, and perform water-saving washing control on the vehicles to be washed.

[0081] Furthermore, the water-saving system for a car washing machine based on intelligent water flow control is also used to: extract a first image from the vehicle image and obtain a first multidimensional feature of the first image; analyze the first multidimensional feature to obtain a first dirt coefficient of a first part corresponding to the first image; descend the first dirt coefficient to obtain a dirt coefficient sequence, and obtain the first dirt coefficient in the dirt coefficient sequence; weight the first dirt coefficient in combination with a predetermined cleaning requirement factor to obtain the cleaning requirement index.

[0082] Furthermore, the car washing machine water-saving system based on intelligent water flow control is also used to: perform significance partitioning on the first image to obtain a first partitioning result, wherein the first partitioning result includes a first significant area and a first non-significant area; sequentially match the first feature set of the first significant area and the second feature set of the first non-significant area in the first multidimensional feature; compare the first feature set with the second feature set to obtain the first dirt coefficient, which includes: comparing the first color feature value in the first feature set with the second color feature value in the second feature set to obtain a color deviation value; comparing the first texture feature value in the first feature set with the second texture feature value in the second feature set to obtain a texture deviation value; and based on the color deviation value and the texture deviation value, performing a variation weighted calculation to obtain the first dirt coefficient.

[0083] Furthermore, the car washing machine water-saving system based on intelligent water flow control is also used to: obtain the predetermined water demand per unit area corresponding to the car washing mode; obtain the total surface area of ​​the vehicle to be washed according to the vehicle model, and obtain the predicted water demand in combination with the predetermined water demand per unit area.

[0084] Furthermore, the car washing machine water-saving system based on intelligent water flow control is also used to: provide the predicted water demand to the distributed water outlet through the circulating water section to flush and moisten the vehicle to be washed; collect the wastewater after flushing and moistening, and store it in the wastewater section in the three-stage water storage tank; activate the clean water section in the three-stage water storage tank to purify the pretreated wastewater after treatment by the wastewater section to obtain circulating water; store the circulating water in the circulating water section, and recycle the circulating water through the distributed water outlet.

[0085] Furthermore, the car washing machine water-saving system based on intelligent water flow control is also used for: a predetermined reagent in the wastewater section undergoes a coagulation reaction with the wastewater to form dirt particles; a microbubble generator communicatively connected to the wastewater section is activated to form microbubbles; the dirt particles are mixed with the microbubbles to obtain a scum mixture, and the pretreated wastewater is formed; wherein the predetermined reagent includes a predetermined coagulant and a predetermined coagulant aid.

[0086] Furthermore, the car washing machine water-saving system based on intelligent water flow control is also used for: the water purification section purifies the pretreated wastewater to obtain the circulating water, wherein the purification process includes three processing steps of separation, filtration and disinfection.

[0087] Furthermore, the water-saving system for a car washing machine based on intelligent water flow control is also used to: obtain the cleaning level corresponding to the car washing mode, and match the water-saving cleaning plan corresponding to the cleaning level; perform water-saving cleaning control on the vehicle to be washed according to the water-saving cleaning plan; wherein, it includes: when the cleaning level is level one, activating the heating controller connected to the distributed water outlet for communication, and performing level one heating control on the steam generator through the heating controller; according to the water-saving cleaning plan, under the level one heating control, the steam generator converts the circulating water into a steam state, and performs steam cleaning on the vehicle to be washed; when the cleaning level is level two, activating the heating controller connected to the distributed water outlet for communication, and performing level two heating control on the steam generator through the heating controller; according to the water-saving cleaning plan, under the level two heating control, the steam generator converts the circulating water into a steam-water mist state, and performs a steam-water mist mixed cleaning on the vehicle to be washed; wherein, the temperature of the level one heating control is higher than the temperature of the level two heating control.

[0088] Furthermore, the water-saving system of the car washing machine based on intelligent water flow control is also used for: when the cleaning level is level three, the distributed water outlet is controlled to spray water according to the water flow control strategy in the water-saving cleaning plan to wash the vehicle to be washed; wherein, the water flow control strategy includes a predetermined pressure, a predetermined flow rate and a predetermined spray angle.

[0089] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The water-saving method for a car washing machine based on intelligent water flow control and the specific examples in the aforementioned embodiment one are also applicable to the water-saving system for a car washing machine based on intelligent water flow control in this embodiment. Through the aforementioned detailed description of the water-saving method for a car washing machine based on intelligent water flow control, those skilled in the art can clearly understand the water-saving system for a car washing machine based on intelligent water flow control in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here.

[0090] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

[0091] Obviously, those skilled in the art may make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application is intended to include these modifications and variations.

Claims

1. A water-saving method for a car washing machine based on intelligent water flow control, characterized in that: include: Collect multi-source information about vehicles to be washed, retrieve a car wash demand assessment plan, evaluate and analyze the vehicle images in the multi-source information, and obtain a cleaning demand index, including: Extracting a first image from the vehicle image and obtaining a first multidimensional feature of the first image; Analyzing the first multidimensional feature to obtain a first dirt coefficient of a first portion corresponding to the first image; Arrange the first fouling coefficients in descending order to obtain a fouling coefficient sequence, and obtain the first fouling coefficient in the fouling coefficient sequence; weighting the first fouling coefficient in combination with a predetermined cleaning demand factor to obtain the cleaning demand index; Matching a car wash pattern corresponding to the cleaning demand index, and collaboratively analyzing the car wash pattern and the vehicle model in the multi-source information to obtain a predicted water demand; Obtain a three-stage water storage tank of a car washing machine, and pre-store the water of the predicted water demand in a circulating water section of the three-stage water storage tank; The method provides the predicted water demand to the distributed water outlet of the vehicle washing machine through the circulating water section, and performs water-saving washing control on the vehicle to be washed, including: Providing the predicted water demand to the distributed water outlet through the circulating water section to flush and wet the vehicle to be washed; Collecting the wastewater after flushing and wetting, and storing it in the wastewater section of the three-section water storage tank; activating the water purification section in the three-section water storage tank to purify the pretreated wastewater after treatment by the wastewater section to obtain circulating water; Storing the circulating water in the circulating water section and recycling the circulating water through the distributed water outlets includes: Obtaining the cleaning level corresponding to the car wash mode and matching the water-saving cleaning plan corresponding to the cleaning level; Performing water-saving washing control on the vehicle to be washed according to the water-saving washing plan; Among them, include: When the cleaning level is level one, activating a heating controller in communication with the distributed water outlet, and performing level one heating control on the steam generator through the heating controller; According to the water-saving cleaning plan, under the first-level heating control, the steam generator converts the circulating water into a steam state to perform steam cleaning on the vehicle to be washed; When the cleaning level is level two, activating a heating controller in communication with the distributed water outlet, and performing level two heating control on the steam generator through the heating controller; According to the water-saving washing plan, under the secondary heating control, the steam generator converts the circulating water into a steam-water mist state, and performs a steam-water mist mixed washing on the vehicle to be washed; Wherein, the temperature controlled by the first-stage heating is higher than the temperature controlled by the second-stage heating; Before activating the water purification section in the three-section water storage tank to purify the pretreated wastewater treated by the wastewater section to obtain circulating water, the method further includes: The predetermined reagent in the wastewater section reacts with the wastewater to form dirt particles; activating a microbubble generator in communication with the wastewater section to generate microbubbles; The dirt particles are mixed with the microbubbles to obtain a scum mixture, which forms the pretreated wastewater; Wherein, the predetermined reagents include a predetermined coagulant and a predetermined coagulant aid.

2. The water-saving method for a car washing machine based on intelligent water flow control as claimed in claim 1, characterized in that: Analyzing the first multidimensional feature to obtain a first dirt coefficient of a first portion corresponding to the first image includes: Performing saliency partitioning on the first image to obtain a first partitioning result, wherein the first partitioning result includes a first salient area and a first non-salient area; sequentially matching a first feature set of the first salient region and a second feature set of the first non-salient region in the first multidimensional features; Comparing the first feature set with the second feature set to obtain the first fouling coefficient, which includes: Comparing a first color feature value in the first feature set with a second color feature value in the second feature set to obtain a color deviation value; Comparing a first texture feature value in the first feature set with a second texture feature value in the second feature set to obtain a texture deviation value; The first dirt coefficient is obtained by performing a weighted variation calculation based on the color deviation value and the texture deviation value.

3. The water-saving method for a car washing machine based on intelligent water flow control as claimed in claim 1, characterized in that: Matching a car wash pattern corresponding to the cleaning demand index, and collaboratively analyzing the car wash pattern and the vehicle model in the multi-source information to obtain a predicted water demand, including: Obtaining a predetermined water requirement per unit area corresponding to the car wash mode; The total surface area of ​​the vehicle to be washed is obtained according to the vehicle model, and the predicted water demand is obtained in combination with the predetermined water demand per unit area.

4. The water-saving method for a car washing machine based on intelligent water flow control as claimed in claim 1, characterized in that: The water purification section purifies the pretreated wastewater to obtain the circulating water, wherein the purification process includes three processing steps: separation, filtration and disinfection.

5. The water-saving method for a car washing machine based on intelligent water flow control as claimed in claim 1, characterized in that: When the cleaning level is level three, the distributed water outlets are controlled to spray water according to the water flow control strategy in the water-saving cleaning plan to wash the vehicle to be washed; Wherein, the water flow control strategy includes predetermined pressure, predetermined flow rate and predetermined spray angle.

6. The car washing machine water-saving system based on intelligent water flow control is characterized by: The steps for implementing the water-saving method for a car washing machine based on intelligent water flow control according to any one of claims 1 to 5 include: A cleaning demand index obtaining module is used to collect multi-source information of vehicles to be washed, and retrieve a car wash demand assessment plan to evaluate and analyze vehicle images in the multi-source information to obtain a cleaning demand index; a predicted water demand obtaining module, configured to match a car wash mode corresponding to the cleaning demand index, and collaboratively analyze the car wash mode and the vehicle model in the multi-source information to obtain a predicted water demand; A water pre-storage module is used to obtain a three-stage water storage tank of the car washing machine and pre-store the water of the predicted water demand in the circulating water section of the three-stage water storage tank; The water-saving washing control module is used to provide the predicted water demand to the distributed water outlet of the car washing machine through the circulating water section, and perform water-saving washing control on the vehicle to be washed.

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