Intelligent control method and system for cleaning roller

Abstract

The present application provides an intelligent control method and system for a cleaning roller. The intelligent control method for the cleaning roller includes: obtaining a regional image of the area to be cleaned through a camera device, detecting the regional image, and predicting the cleaning workload corresponding to the area to be cleaned after the cleaning device completes the cleaning; determining the working efficiency of the cleaning device according to the remaining power and the cleaning workload; determining the cleaning frequency of the cleaning roller of the cleaning device according to the working efficiency and the sewage status; monitoring the working time of the cleaning device according to the cleaning frequency, and generating instructions for reminders when the cleaning moment is triggered. The above process intelligently predicts the cleaning workload, accurately predicts the work efficiency, and monitors the sewage status in real time, dynamically adjusts the cleaning frequency of the cleaning roller, ensures the cleaning effect and guarantees the cleaning efficiency. By monitoring the working time and reminding cleaning at the appropriate time, the overall cleaning efficiency and accuracy are improved, bringing users a more convenient and efficient cleaning experience.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to an intelligent control method and system for a cleaning roller. Background Art

[0002] With the development and progress of science and technology, cleaning devices have gradually evolved from simple manually operated tools to intelligent devices that can move manually or automatically and automatically clean surfaces. For example, sweeping and mopping devices, self-propelled sweeping devices, or self-propelled mopping devices, etc., are equipped with advanced sensors, controllers, and actuators to achieve efficient cleaning operations.

[0003] However, the working environment and tasks of the cleaning device are often diverse and uncertain, especially in commercial applications or when the cleaning area is complex and large. Failure to clean the cleaning roller in time will affect incomplete floor cleaning; and if cleaning is too frequent, energy saving cannot be achieved, and the cleaning efficiency is low. The purpose of cost reduction and efficiency improvement cannot be achieved in terms of cost, resulting in waste of resources, and the purpose of efficient cleaning cannot be achieved. Summary of the invention

[0004] The embodiments of the present application provide an intelligent control method and system for a cleaning roller, which can, at least to a certain extent, improve the working efficiency and utilization rate of the cleaning device in commercial applications or when the cleaning area is complex and large.

[0005] Other features and advantages of the present application will become apparent from the following detailed description, or may be learned in part by the practice of the present application.

[0006] According to one aspect of the present application, an intelligent control method for a cleaning roller is provided, comprising: acquiring a regional image of an area to be cleaned by means of a camera device, detecting the regional image, and predicting the amount of cleaning work corresponding to the area to be cleaned completed by the cleaning device; acquiring a device status of the cleaning device; the device status includes a remaining power level and a sewage status; determining a working efficiency of the cleaning device according to the remaining power level and the cleaning workload; determining a cleaning frequency of the cleaning roller of the cleaning device according to the working efficiency and the sewage status; monitoring the working time of the cleaning device according to the cleaning frequency, and generating an instruction for a reminder when the cleaning moment is triggered.

[0007] A regional image of the area to be cleaned is acquired through a camera device, the regional image is detected, and the cleaning workload corresponding to the area to be cleaned completed by the cleaning device is predicted; the device status of the cleaning device is acquired; the device status includes the remaining power and the sewage status; the working efficiency of the cleaning device is determined according to the remaining power and the cleaning workload; the cleaning frequency of the cleaning roller of the cleaning device is determined according to the working efficiency and the sewage status; the working time of the cleaning device is monitored according to the cleaning frequency, and an instruction is generated to remind when the cleaning moment is triggered.

[0008] In the present application, based on the aforementioned scheme, the detection of the area image and the prediction of the amount of cleaning work corresponding to the area to be cleaned completed by the cleaning device include: fusing the area image to determine the area information of the area to be cleaned; extracting image features in the area image; and determining the amount of cleaning work corresponding to the area to be cleaned completed by the cleaning device based on the image features corresponding to the area image and the area information.

[0009] In the present application, based on the aforementioned scheme, the amount of cleaning work corresponding to the area to be cleaned completed by the cleaning device is determined according to the image features corresponding to the area image and the area information, including: determining the actual cleaning area according to the image features and the area information; determining the amount of cleaning work corresponding to the area to be cleaned completed by the cleaning device according to the actual cleaning area and the cleaning energy demand function per square meter.

[0010] In the present application, based on the above-mentioned solution, the obtaining of the device status of the cleaning device includes: obtaining the sewage status of the cleaning device through a concentration sensor.

[0011] In the present application, based on the aforementioned scheme, the working efficiency of the cleaning device is determined according to the remaining power and the cleaning workload, including: determining the recommended working efficiency of the cleaning device according to the remaining power and the cleaning workload; obtaining the rated efficiency of the cleaning device in each mode; comparing the recommended working efficiency with the rated efficiency in each mode to determine the working efficiency.

[0012] In the present application, based on the aforementioned scheme, the cleaning frequency of the cleaning roller of the cleaning device is determined according to the work efficiency and the sewage state, including: performing linear programming according to the work efficiency and the sewage state to determine the cleaning frequency of the cleaning roller of the cleaning device.

[0013] In the present application, based on the aforementioned scheme, linear programming is performed according to the work efficiency and the sewage state to determine the cleaning frequency of the cleaning roller of the cleaning device, including: constructing an objective function of linear programming based on the functional relationship between cleaning efficiency and cleaning frequency, the functional relationship between maintenance cost and cleaning frequency, and the functional relationship between sewage treatment capacity and cleaning frequency; solving the objective function through a linear programming solver to obtain the cleaning frequency.

[0014] In the present application, based on the aforementioned solution, the generating of instructions for reminder when the cleaning moment is triggered includes: controlling the indicator light to flash when the cleaning moment is triggered to remind the user to clean the cleaning roller.

[0015] According to one aspect of the present application, an intelligent control system for a cleaning roller is provided, comprising:

[0016] A detection unit, used to obtain a regional image of the area to be cleaned by a camera device, detect the regional image, and predict the cleaning workload corresponding to the area to be cleaned after the cleaning device completes cleaning;

[0017] An acquisition unit, used to acquire a device status of the cleaning device; the device status includes a remaining power and a sewage status;

[0018] an efficiency unit, used to determine the working efficiency of the cleaning device according to the remaining power and the cleaning workload;

[0019] A frequency unit, used to determine the cleaning frequency of the cleaning roller of the cleaning device according to the working efficiency and the sewage state;

[0020] The reminder unit is used to monitor the working time of the cleaning device according to the cleaning frequency, and generate instructions for reminder when the cleaning moment is triggered.

[0021] A regional image of the area to be cleaned is acquired through a camera device, the regional image is detected, and the cleaning workload corresponding to the area to be cleaned completed by the cleaning device is predicted; the device status of the cleaning device is acquired; the device status includes the remaining power and the sewage status; the working efficiency of the cleaning device is determined according to the remaining power and the cleaning workload; the cleaning frequency of the cleaning roller of the cleaning device is determined according to the working efficiency and the sewage status; the working time of the cleaning device is monitored according to the cleaning frequency, and an instruction is generated to remind when the cleaning moment is triggered.

[0022] In the present application, based on the aforementioned scheme, the detection of the area image and the prediction of the amount of cleaning work corresponding to the area to be cleaned completed by the cleaning device include: fusing the area image to determine the area information of the area to be cleaned; extracting image features in the area image; and determining the amount of cleaning work corresponding to the area to be cleaned completed by the cleaning device based on the image features corresponding to the area image and the area information.

[0023] In the present application, based on the aforementioned scheme, the amount of cleaning work corresponding to the area to be cleaned completed by the cleaning device is determined according to the image features corresponding to the area image and the area information, including: determining the actual cleaning area according to the image features and the area information; determining the amount of cleaning work corresponding to the area to be cleaned completed by the cleaning device according to the actual cleaning area and the cleaning energy demand function per square meter.

[0024] In the present application, based on the above-mentioned solution, the obtaining of the device status of the cleaning device includes: obtaining the sewage status of the cleaning device through a concentration sensor.

[0025] In the present application, based on the aforementioned scheme, the working efficiency of the cleaning device is determined according to the remaining power and the cleaning workload, including: determining the recommended working efficiency of the cleaning device according to the remaining power and the cleaning workload; obtaining the rated efficiency of the cleaning device in each mode; comparing the recommended working efficiency with the rated efficiency in each mode to determine the working efficiency.

[0026] In the present application, based on the aforementioned scheme, the cleaning frequency of the cleaning roller of the cleaning device is determined according to the work efficiency and the sewage state, including: performing linear programming according to the work efficiency and the sewage state to determine the cleaning frequency of the cleaning roller of the cleaning device.

[0027] In the present application, based on the aforementioned scheme, linear programming is performed according to the work efficiency and the sewage state to determine the cleaning frequency of the cleaning roller of the cleaning device, including: constructing an objective function of linear programming based on the functional relationship between cleaning efficiency and cleaning frequency, the functional relationship between maintenance cost and cleaning frequency, and the functional relationship between sewage treatment capacity and cleaning frequency; solving the objective function through a linear programming solver to obtain the cleaning frequency.

[0028] In the present application, based on the aforementioned solution, the generating of instructions for reminder when the cleaning moment is triggered includes: controlling the indicator light to flash when the cleaning moment is triggered to remind the user to clean the cleaning roller.

[0029] According to one aspect of the present application, a computer-readable medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the intelligent control method of the cleaning roller as described in the above embodiment is implemented.

[0030] According to one aspect of the present application, an electronic device is provided, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the intelligent control method of the cleaning roller as described in the above embodiments.

[0031] According to one aspect of the present application, a computer program product or computer program is provided, the computer program product or computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the intelligent control method of the cleaning roller provided in the above-mentioned various optional implementations.

[0032] In the technical solution of the present application, a regional image of the area to be cleaned is obtained by a camera device, the regional image is detected, and the cleaning workload corresponding to the area to be cleaned by the cleaning device is predicted; the device status of the cleaning device is obtained; the working efficiency of the cleaning device is determined according to the remaining power and the cleaning workload; the cleaning frequency of the cleaning roller of the cleaning device is determined according to the working efficiency and the sewage status; according to the cleaning frequency, the working time of the cleaning device is monitored, and instructions are generated to remind when the cleaning moment is triggered. The above process accurately predicts the working efficiency by intelligently predicting the cleaning workload and combining the remaining power of the cleaning device. At the same time, the sewage status is monitored in real time, and the cleaning frequency of the cleaning roller is dynamically adjusted to ensure the cleaning effect and cleaning efficiency. By monitoring the working time and reminding cleaning at the appropriate time, the automation and intelligence level of the cleaning operation is improved, the need for manual intervention is reduced, and the overall cleaning efficiency and accuracy are improved, bringing users a more convenient and efficient cleaning experience.

[0033] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present application, and together with the specification are used to explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0035] Figure 1 The flowchart of the intelligent control method of the cleaning roller in one embodiment of the present application is schematically shown.

[0036] Figure 2 A flowchart for determining the cleaning workload in one embodiment of the present application is schematically shown.

[0037] Figure 3 The schematic diagram of the intelligent control system of the cleaning roller in one embodiment of the present application is schematically shown.

[0038] Figure 4 A schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present application is shown. DETAILED DESCRIPTION

[0039] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this application will be more comprehensive and complete and fully convey the concept of the example embodiments to those skilled in the art.

[0040] In addition, described feature, structure or characteristic can be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present application. However, those skilled in the art will appreciate that the technical scheme of the present application can be put into practice without one or more of the specific details, or other methods, components, devices, steps, etc. can be adopted. In other cases, known methods, devices, realizations or operations are not shown or described in detail to avoid blurring the various aspects of the application.

[0041] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0042] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps can be decomposed, and some operations / steps can be combined or partially combined, so the actual execution order may change according to actual conditions.

[0043] The implementation details of the technical solution of this application are described in detail below:

[0044] Figure 1FIG. 1 is a flow chart showing an intelligent control method for a cleaning roller according to an embodiment of the present application. Figure 1 As shown, the intelligent control method of the cleaning roller includes at least steps S110 to S150, which are described in detail as follows:

[0045] In step S110, a regional image of the area to be cleaned is acquired by a camera device, the regional image is detected, and the cleaning workload corresponding to the area to be cleaned completed by the cleaning device is predicted.

[0046] In one embodiment of the present application, a camera is used to photograph the area to be cleaned. The camera needs to have sufficient resolution and image quality to ensure that detailed information of the area is captured. The acquired regional image should cover the entire area to be cleaned as much as possible for subsequent analysis.

[0047] Specifically, Figure 2 As shown, in step S110, the regional image is detected to predict the cleaning workload corresponding to the area to be cleaned after the cleaning device completes cleaning, including:

[0048] S210, performing fusion processing on the regional images to determine the area information of the area to be cleaned;

[0049] S220, extracting image features from the regional image;

[0050] S230: Determine, based on the image features corresponding to the regional image and the area information, the amount of cleaning work corresponding to the area to be cleaned that is completed by the cleaning device.

[0051] Use image processing technology to fuse the pre-processed images to generate a fused image, and extract the boundaries of the area to be cleaned by finding the contours in the image. Or perform semantic segmentation on the image to accurately identify the area to be cleaned.

[0052] After segmenting the area to be cleaned, the area of ​​the area is calculated using the pixel information in the image. The area can be calculated in the following ways: count the number of pixels in the area to be cleaned and convert it according to the actual area represented by each pixel; if the shape of the detected area is regular, the area can be calculated using a geometric formula. The calculated area information of the area to be cleaned is recorded and output as reference data for subsequent cleaning operations.

[0053] This process uses a camera to obtain regional images and combines image processing technology and algorithms to accurately detect the area information of the area to be cleaned. This provides important data support for subsequent cleaning work and ensures the effectiveness and pertinence of the cleaning operation.

[0054] Specifically, determining the cleaning workload corresponding to the area to be cleaned completed by the cleaning device according to the image features corresponding to the area image and the area information includes:

[0055] Determining an actual cleaning area according to the image features and the area information;

[0056] The cleaning workload corresponding to the area to be cleaned after the cleaning device completes cleaning is determined according to the actual cleaning area and the cleaning energy demand function per square meter.

[0057] After determining the area to be cleaned, further analyze the image features of this area. Image features include information such as the degree of contamination and the type of contamination, which is crucial for selecting the appropriate cleaning method and cleaning intensity. Use image processing algorithms to extract image features, such as calculating color histograms, to fully and accurately describe the characteristics of the regional image.

[0058] Optionally, the previously extracted image features and area information are combined, the number of pixels corresponding to each color in the color histogram is counted, the actual cleaning area corresponding to each image feature is determined, weighted, and finally the cleaning workload is generated.

[0059] Optionally, in an embodiment of the present application, the actual cleaning area is determined according to the image features and the area information. :

[0060]

[0061] in, i The identifier representing the image feature, u Represents the total number of image features; Representation characteristics i The corresponding area information, Representation characteristics i The corresponding image feature value is Representation characteristics i The corresponding adjustment parameter of the influence of pollution degree on cleaning efficiency.

[0062] According to the actual cleaning area and the cleaning energy demand function per square meter, the cleaning workload corresponding to the cleaning device cleaning the area to be cleaned is determined. E for:

[0063]

[0064] in, Represents the clean energy demand function per square meter.

[0065] In addition, the cleaning workload can also include cleaning time, the amount of cleaning agent consumed, the operating power of the cleaning device, and other aspects. This calculation process needs to comprehensively consider the degree of contamination reflected by the image features and the size of the area represented by the area information to ensure the efficiency and effectiveness of the cleaning work. In general, this process is an automated cleaning decision-making process that combines image processing, feature extraction, and algorithm calculation. Through this process, the cleaning device can more intelligently identify the characteristics of the area to be cleaned, thereby formulating a more reasonable and efficient cleaning plan.

[0066] In step S120, the device status of the cleaning device is obtained; the device status includes the remaining power and the sewage status.

[0067] In one embodiment of the present application, the sewage state of the cleaning device is detected by the first sensor unit, specifically including real-time measurement of the water volume, concentration and other information of the sewage. This process utilizes the high-precision measurement capability of the sensor to ensure that the flow and volume data of the sewage can be accurately obtained, thereby providing key basic information for subsequent cleaning work, so as to optimize the resource allocation and energy management of the cleaning operation, thereby improving the cleaning efficiency and effect.

[0068] In one embodiment of the present application, a sewage detection sensor is installed in the cleaning device. The sensor should have appropriate sensitivity and accuracy to ensure accurate measurement of the amount of sewage. It may include an ultrasonic flowmeter, an electromagnetic flowmeter, a pressure sensor, etc.

[0069] Optionally, the treated sewage status is stored in a data management system. Data can be recorded by timestamp for historical analysis and trend monitoring. The monitoring system displays sewage volume information in real time, and operators can view the data at any time. This process can be achieved through a display screen, a mobile device or a remote monitoring platform. This process ensures that the cleaning device can accurately obtain and analyze the sewage volume in real time through the sewage status detection of the first sensing unit, which provides an important basis for subsequent cleaning management and decision-making, and improves the efficiency and effectiveness of the entire cleaning operation.

[0070] Specifically, obtaining the device state of the cleaning device includes: obtaining the sewage state of the cleaning device through a concentration sensor.

[0071] Specifically, first install the concentration sensor in the sewage outlet or sewage storage container of the cleaning device. This allows the concentration sensor to reliably measure the concentration of specific components (such as particulate matter, grease, chemicals, etc.) in the sewage. Next, connect the concentration sensor to the control system or data acquisition system of the cleaning device. According to the type and characteristics of the concentration sensor, configure the necessary parameters, including setting the measurement range, resolution, sampling frequency, etc. Ensure that the settings of the sensor parameters match the actual needs of the cleaning device. Send instructions to the sensor through the control system or data acquisition system, and then receive the concentration value returned by the sensor. The concentration data read can be used to analyze the sewage status of the cleaning device. According to the concentration value, the degree of pollution of the sewage can be judged.

[0072] In addition, the device status also includes the remaining power, which can be obtained through the power monitoring device. It will not be described here.

[0073] In step S130, the working efficiency of the cleaning device is determined according to the remaining power and the cleaning workload.

[0074] In an embodiment of the present application, determining the working efficiency of the cleaning device according to the remaining power and the cleaning workload includes:

[0075] Determining a recommended working efficiency of the cleaning device according to the remaining power and the cleaning workload;

[0076] Obtaining the rated efficiency of the cleaning device in each mode;

[0077] The recommended working efficiency is compared with the rated efficiency in each mode to determine the working efficiency.

[0078] Specifically, the steps include:

[0079] Obtain the estimated amount of electricity required by the cleaning device to complete all the above cleaning work;

[0080] Calculating a ratio between the remaining power and the estimated power, and then calculating a product between the ratio and the maximum working efficiency of the cleaning device as the recommended working efficiency of the cleaning device;

[0081] The rated efficiency of the cleaning device in each mode is obtained; the recommended working efficiency is compared with the rated efficiency in each mode, and the minimum rated efficiency corresponding to the recommended working efficiency is selected as the working efficiency. Through the above process, the cleaning workload can be completed at the most appropriate working efficiency while ensuring that the remaining power is used up, thereby ensuring the working efficiency and cleaning ability.

[0082] In step S140, the cleaning frequency of the cleaning roller of the cleaning device is determined according to the working efficiency and the sewage state.

[0083] In this embodiment, after the work efficiency is calculated and the sewage state is determined, linear programming is performed according to the work efficiency and the sewage state to determine the cleaning frequency of the cleaning roller of the cleaning device.

[0084] Specifically, an objective function is constructed to reflect the balance between maximizing cleaning efficiency and sewage treatment capacity. The objective function aims to maximize the overall performance of the cleaning device, which usually involves trade-offs in the following aspects:

[0085] 1. Cleaning efficiency: Cleaning efficiency E Usually it is proportional to the cleanliness of the cleaning roller. As the cleaning roller is used for a longer time, its cleanliness will gradually decrease, thus affecting the cleaning efficiency. x The increase in can restore the cleanliness of the cleaning roller, thereby improving the cleaning efficiency.

[0086] 2. Sewage treatment capacity: The sewage treatment capacity W reflects the ability of the cleaning device to treat sewage. Frequent cleaning may increase the amount of sewage generated, but excessive sewage accumulation will also affect the performance of the cleaning device. Therefore, the objective function needs to balance the relationship between the cleaning frequency and the sewage treatment capacity.

[0087] 3. Maintenance cost: cleaning frequency x The increase in cleaning frequency will increase maintenance costs, including labor, time and material costs. Although this is not a direct objective function factor, the excessive increase in cleaning frequency can be limited by setting reasonable constraints.

[0088] Based on the above considerations, the objective function It can be expressed as:

[0089]

[0090] in, Is cleaning efficiency and cleaning frequency Functional relationship of

[0091] Maintenance cost and cleaning frequency Functional relationship of (increasing function);

[0092] The sewage treatment capacity and cleaning frequency Functional relationship of

[0093] , , is the weight coefficient, which is used to balance the importance of different factors.

[0094] After the objective function is linearized, a standard linear programming solver is used to solve this problem and obtain the optimal cleaning frequency. The above process obtains the optimal cleaning frequency through linear programming, which can improve energy efficiency while ensuring the cleaning effect, ensure the best cleaning effect and ensure the working efficiency of the cleaning device.

[0095] In step S150, the working time of the cleaning device is monitored according to the cleaning frequency, and an instruction is generated to remind when the cleaning time is triggered.

[0096] In one embodiment of the present application, the working time of the cleaning device is monitored according to the cleaning frequency, and the indicator light is controlled to flash when the cleaning moment is triggered to remind the user to clean the cleaning roller.

[0097] Optionally, design the display interface of the cleaning device to ensure that the information displayed is intuitive and easy to understand. Factors to consider include: Layout: Arrange the location of each piece of information reasonably to ensure that users can quickly find the information they need. Graphical display: Use visual elements such as charts, progress bars, indicator lights, etc. to enhance the readability and attractiveness of information. Color coding: Use different colors to distinguish different types of information, such as normal status and alarm status.

[0098] Ensure that the display interface can update the control information in real time to reflect the latest status of the equipment. You can use a timed refresh mechanism or event-driven mechanism to update the interface in time when the information changes. Through the above steps, the control information is effectively displayed on the display interface of the cleaning device, which can improve the operator's understanding of the equipment status, improve work efficiency, and enhance the user-friendliness of the equipment. This process not only helps to monitor the progress of the cleaning operation in real time, but also promptly reminds the operator when an abnormality occurs, thereby ensuring the smooth progress of the cleaning work.

[0099] Optionally, in one embodiment of the present application, a corresponding cleaning mode can be selected through a comprehensive evaluation of sewage parameters and the energy required for cleaning. In general, if there are high concentrations of pollutants in the sewage and the cleaning time is long, a strong cleaning mode is suitable to ensure effective removal of dirt. For medium concentrations of pollutants and moderate cleaning time, a conventional cleaning mode is selected, which is a more common cleaning method. When the concentration of pollutants in the sewage is low and the cleaning time is short, a pretreatment mode can be used to quickly process and reduce the subsequent cleaning burden.

[0100] Finally, the decision function is applied to determine the most appropriate cleaning mode based on the sewage parameters and cleaning time. This decision-making process aims to intelligently adjust the cleaning strategy according to different cleaning needs and improve cleaning efficiency and effectiveness.

[0101] This process systematically analyzes the sewage characteristics and cleaning requirements, allowing the cleaning device to select the most suitable cleaning mode according to the actual situation, thereby optimizing the cleaning effect, improving operating efficiency, and ensuring the effective use of resources. This method not only improves the pertinence and effectiveness of cleaning work, but also provides a scientific basis for cleaning management.

[0102] In the technical solution of the present application, a regional image of the area to be cleaned is obtained by a camera device, the regional image is detected, and the cleaning workload corresponding to the area to be cleaned by the cleaning device is predicted; the device status of the cleaning device is obtained; the working efficiency of the cleaning device is determined according to the remaining power and the cleaning workload; the cleaning frequency of the cleaning roller of the cleaning device is determined according to the working efficiency and the sewage status; according to the cleaning frequency, the working time of the cleaning device is monitored, and instructions are generated to remind when the cleaning moment is triggered. The above process uses the camera device to intelligently predict the cleaning workload, combined with the remaining power of the cleaning device, to accurately predict the work efficiency, while monitoring the sewage status in real time, and dynamically adjusting the cleaning frequency of the cleaning roller to ensure the cleaning effect and cleaning efficiency. By monitoring the working time and reminding cleaning at the appropriate time, the automation and intelligence level of the cleaning operation is improved, the need for manual intervention is reduced, and the overall cleaning efficiency and accuracy are improved, bringing users a more convenient and efficient cleaning experience.

[0103] The following describes an embodiment of the device of the present application, which can be used to execute the intelligent control method of the cleaning roller in the above embodiment of the present application. It is understandable that the device can be a computer program (including program code) running in a computer device, for example, the device is an application software; the device can be used to execute the corresponding steps in the method provided in the embodiment of the present application. For details not disclosed in the embodiment of the device of the present application, please refer to the embodiment of the intelligent control method of the cleaning roller in the above embodiment of the present application.

[0104] Figure 3 A block diagram of an intelligent control system for a cleaning roller according to an embodiment of the present application is shown.

[0105] Reference Figure 3 As shown, the intelligent control system of the cleaning roller according to one embodiment of the present application includes:

[0106] The detection unit 310 is used to obtain a regional image of the area to be cleaned through a camera device, detect the regional image, and predict the cleaning workload corresponding to the area to be cleaned after the cleaning device completes cleaning;

[0107] An acquisition unit 320 is used to acquire a device status of the cleaning device; the device status includes a remaining power and a sewage status;

[0108] An efficiency unit 330, configured to determine the working efficiency of the cleaning device according to the remaining power and the cleaning workload;

[0109] A frequency unit 340, for determining a cleaning frequency of a cleaning roller of the cleaning device according to the working efficiency and the sewage state;

[0110] The reminder unit 350 is used to monitor the working time of the cleaning device according to the cleaning frequency, and generate an instruction to remind when the cleaning moment is triggered.

[0111] A regional image of the area to be cleaned is acquired through a camera device, the regional image is detected, and the cleaning workload corresponding to the area to be cleaned completed by the cleaning device is predicted; the device status of the cleaning device is acquired; the device status includes the remaining power and the sewage status; the working efficiency of the cleaning device is determined according to the remaining power and the cleaning workload; the cleaning frequency of the cleaning roller of the cleaning device is determined according to the working efficiency and the sewage status; the working time of the cleaning device is monitored according to the cleaning frequency, and an instruction is generated to remind when the cleaning moment is triggered.

[0112] In the present application, based on the aforementioned scheme, the detection of the area image and the prediction of the amount of cleaning work corresponding to the area to be cleaned completed by the cleaning device include: fusing the area image to determine the area information of the area to be cleaned; extracting image features in the area image; and determining the amount of cleaning work corresponding to the area to be cleaned completed by the cleaning device based on the image features corresponding to the area image and the area information.

[0113] In the present application, based on the aforementioned scheme, the amount of cleaning work corresponding to the area to be cleaned completed by the cleaning device is determined according to the image features corresponding to the area image and the area information, including: determining the actual cleaning area according to the image features and the area information; determining the amount of cleaning work corresponding to the area to be cleaned completed by the cleaning device according to the actual cleaning area and the cleaning energy demand function per square meter.

[0114] In the present application, based on the above-mentioned solution, the obtaining of the device status of the cleaning device includes: obtaining the sewage status of the cleaning device through a concentration sensor.

[0115] In the present application, based on the aforementioned scheme, the working efficiency of the cleaning device is determined according to the remaining power and the cleaning workload, including: determining the recommended working efficiency of the cleaning device according to the remaining power and the cleaning workload; obtaining the rated efficiency of the cleaning device in each mode; comparing the recommended working efficiency with the rated efficiency in each mode to determine the working efficiency.

[0116] In the present application, based on the aforementioned scheme, the cleaning frequency of the cleaning roller of the cleaning device is determined according to the work efficiency and the sewage state, including: performing linear programming according to the work efficiency and the sewage state to determine the cleaning frequency of the cleaning roller of the cleaning device.

[0117] In the present application, based on the aforementioned scheme, linear programming is performed according to the work efficiency and the sewage state to determine the cleaning frequency of the cleaning roller of the cleaning device, including: constructing an objective function of linear programming based on the functional relationship between cleaning efficiency and cleaning frequency, the functional relationship between maintenance cost and cleaning frequency, and the functional relationship between sewage treatment capacity and cleaning frequency; solving the objective function through a linear programming solver to obtain the cleaning frequency.

[0118] In the present application, based on the aforementioned solution, the generating of instructions for reminder when the cleaning moment is triggered includes: controlling the indicator light to flash when the cleaning moment is triggered to remind the user to clean the cleaning roller.

[0119] In the technical solution of the present application, a regional image of the area to be cleaned is obtained by a camera device, the regional image is detected, and the cleaning workload corresponding to the area to be cleaned by the cleaning device is predicted; the device status of the cleaning device is obtained; the working efficiency of the cleaning device is determined according to the remaining power and the cleaning workload; the cleaning frequency of the cleaning roller of the cleaning device is determined according to the working efficiency and the sewage status; according to the cleaning frequency, the working time of the cleaning device is monitored, and instructions are generated to remind when the cleaning moment is triggered. The above process accurately predicts the working efficiency by intelligently predicting the cleaning workload and combining the remaining power of the cleaning device. At the same time, the sewage status is monitored in real time, and the cleaning frequency of the cleaning roller is dynamically adjusted to ensure the cleaning effect and cleaning efficiency. By monitoring the working time and reminding cleaning at the appropriate time, the automation and intelligence level of the cleaning operation is improved, the need for manual intervention is reduced, and the overall cleaning efficiency and accuracy are improved, bringing users a more convenient and efficient cleaning experience.

[0120] Figure 4 A schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present application is shown.

[0121] It should be noted that the computer system 400 of the electronic device shown in the figure is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0122] The computer system 400 includes a central processing unit (CPU) 401, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 402 or the program loaded from the storage part 408 to the random access memory (RAM) 403, such as executing the method described in the above embodiment. Various programs and data required for system operation are also stored in the RAM 403. The CPU 401, the ROM 402 and the RAM 403 are connected to each other through the bus 404. The input / output (I / O) interface 405 is also connected to the bus 404.

[0123] The following components are connected to the I / O interface 405: an input section 406 including a keyboard, a mouse, etc.; an output section 407 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 408 including a hard disk, etc.; and a communication section 409 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to the I / O interface 405 as needed. A removable medium 411, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 410 as needed so that a computer program read therefrom is installed into the storage section 408 as needed.

[0124] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication part 409, and / or installed from a removable medium 411. When the computer program is executed by the central processing unit (CPU) 401, various functions defined in the system of the present application are executed.

[0125] It should be noted that the computer-readable medium shown in the embodiment of the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, device or device. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable computer program. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate, or transmit programs for use by or in conjunction with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0126] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0127] The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. The names of these units do not, in some cases, constitute limitations on the units themselves.

[0128] According to one aspect of the present application, a computer program product or a computer program is provided, the computer program product or the computer program comprising computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the methods provided in the above-mentioned various optional implementations.

[0129] As another aspect, the present application also provides a computer-readable medium, which may be included in the electronic device described in the above embodiment; or may exist independently without being assembled into the electronic device. The above computer-readable medium carries one or more programs, and when the above one or more programs are executed by an electronic device, the electronic device implements the method described in the above embodiment.

[0130] It should be noted that, although several modules or units of the equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.

[0131] Through the description of the above implementation methods, it is easy for those skilled in the art to understand that the example implementation methods described here can be implemented by software, or by combining software with necessary hardware. Therefore, the technical solution according to the implementation method of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the implementation method of the present application.

[0132] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the embodiments disclosed herein. The present application is intended to cover any variations, uses or adaptations of the present application, which follow the general principles of the present application and include common knowledge or customary technical means in the art that are not disclosed in the present application.

[0133] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. An intelligent control method for a cleaning roller, characterized in that: include: Acquire a regional image of the area to be cleaned by a camera device, detect the regional image, and predict the cleaning workload corresponding to the area to be cleaned after the cleaning device has finished cleaning; Get the device status of the cleaning device; The device status includes remaining power and sewage status; Determining the working efficiency of the cleaning device according to the remaining power and the cleaning workload; Determining the cleaning frequency of the cleaning roller of the cleaning device according to the working efficiency and the sewage state; According to the cleaning frequency, the working time of the cleaning device is monitored, and when the cleaning moment is triggered, an instruction is generated to remind; The process of detecting the regional image and predicting the cleaning workload corresponding to the area to be cleaned after the cleaning device completes cleaning of the area to be cleaned includes: Performing fusion processing on the regional images to determine the area information of the area to be cleaned; Extracting image features from the regional image; Determine, based on the image features corresponding to the regional image and the area information, the cleaning workload corresponding to the area to be cleaned completed by the cleaning device; Wherein, determining the cleaning workload corresponding to the area to be cleaned completed by the cleaning device according to the image features corresponding to the area image and the area information includes: Determine the actual cleaning area based on the image features and the area information for: in, i The identifier representing the image feature, u Represents the total number of image features; Representation characteristics i The corresponding area information, Representation characteristics i The corresponding image feature value is Representation characteristics i The corresponding adjustment parameters of the influence of pollution degree on cleaning efficiency; According to the actual cleaning area and the cleaning energy demand function per square meter, the cleaning workload corresponding to the cleaning device cleaning the area to be cleaned is determined. E for: in, Represents the preset cleaning energy demand function per square meter.

2. The method according to claim 1, characterized in that Determining the working efficiency of the cleaning device according to the remaining power and the cleaning workload includes: Determining a recommended working efficiency of the cleaning device according to the remaining power and the cleaning workload; Obtaining the rated efficiency of the cleaning device in each mode; The recommended working efficiency is compared with the rated efficiency in each mode to determine the working efficiency.

3. The method according to claim 1, characterized in that Determining the cleaning frequency of the cleaning roller of the cleaning device according to the working efficiency and the sewage state includes: According to the working efficiency and the sewage state, linear programming is performed to determine the cleaning frequency of the cleaning roller of the cleaning device.

4. The method according to claim 3, characterized in that: According to the working efficiency and the sewage state, linear programming is performed to determine the cleaning frequency of the cleaning roller of the cleaning device, including: Based on the functional relationship between cleaning efficiency and cleaning frequency, the functional relationship between maintenance cost and cleaning frequency, and the functional relationship between sewage treatment capacity and cleaning frequency, the objective function of linear programming is constructed; The objective function is solved by a linear programming solver to obtain the cleaning frequency.

5. The method according to claim 1, characterized in that Generate instructions to remind you when cleaning time is triggered, including: When the cleaning moment is triggered, the control indicator light flashes to remind the user to clean the cleaning roller.

6. An intelligent control system for a cleaning roller, characterized in that: include: A detection unit, used to obtain a regional image of the area to be cleaned through a camera device, detect the regional image, and predict the cleaning workload corresponding to the area to be cleaned after the cleaning device completes cleaning; An acquisition unit, used for acquiring a device status of the cleaning device; The device status includes remaining power and sewage status; an efficiency unit, used to determine the working efficiency of the cleaning device according to the remaining power and the cleaning workload; A frequency unit, used to determine the cleaning frequency of the cleaning roller of the cleaning device according to the working efficiency and the sewage state; A reminder unit, used to monitor the working time of the cleaning device according to the cleaning frequency, and generate an instruction to remind when the cleaning moment is triggered; The process of detecting the regional image and predicting the cleaning workload corresponding to the area to be cleaned after the cleaning device completes cleaning of the area to be cleaned includes: Performing fusion processing on the regional images to determine the area information of the area to be cleaned; Extracting image features from the regional image; Determine, based on the image features corresponding to the regional image and the area information, the cleaning workload corresponding to the area to be cleaned completed by the cleaning device; Wherein, determining the cleaning workload corresponding to the area to be cleaned completed by the cleaning device according to the image features corresponding to the area image and the area information includes: Determine the actual cleaning area based on the image features and the area information for: in, i The identifier representing the image feature, u Represents the total number of image features; Representation characteristics i The corresponding area information, Representation characteristics i The corresponding image feature value is Representation characteristics i The corresponding adjustment parameters of the influence of pollution degree on cleaning efficiency; According to the actual cleaning area and the cleaning energy demand function per square meter, the cleaning workload corresponding to the cleaning device cleaning the area to be cleaned is determined. E for: in, Represents the preset cleaning energy demand function per square meter.

7. A computer readable medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the intelligent control method for the cleaning roller according to any one of claims 1 to 5 is implemented.

8. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, enables the one or more processors to implement the intelligent control method for the cleaning roller as described in any one of claims 1 to 5.

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