Dust collector base station dust accumulation detection method and device, terminal and storage medium

Abstract

The invention discloses a dust collector base station dust accumulation detection method and device, a terminal and a storage medium, and the method comprises the steps: monitoring the internal pressure of a dust collector base station in real time, obtaining an internal pressure value, and comparing the internal pressure value with a preset pressure threshold value to obtain a pressure measurement result when an air draft motor in the dust collector base station operates; when the pressure measurement result is abnormal, acquiring dust data in the dust collection bag through a dust collector base station dust detection sensor and analyzing the dust data; constructing a dust fullness evaluation formula according to the dust data, and judging whether the dust in the dust collection bag reaches a dust fullness standard or not according to the dust fullness evaluation formula; if the dust reaches the dust fullness standard, a dust fullness signal is sent to a prompt mechanism of the dust collector base station, and the prompt mechanism gives out a dust fullness warning. The dust accumulation condition in the dust collection bag can be accurately judged, the air draft motor is prevented from being damaged by dust accumulation, and the accuracy of dust fullness detection is improved.

Description

Technical Field

[0001] The present application relates to the field of electrical cleaning technology, and in particular to a method, device, terminal and storage medium for detecting dust accumulation in a vacuum cleaner base station. Background Art

[0002] Handheld vacuum cleaners are widely favored for their convenience and efficiency in modern household cleaning. After completing their cleaning tasks, these vacuum cleaners are typically returned to a base station equipped with intelligent detection and processing capabilities for automatic recharging and dust removal from the dust bin. This design significantly improves cleaning efficiency and user experience.

[0003] Currently, handheld vacuum cleaner base stations on the market are generally equipped with a dust bag and exhaust motor system. This system effectively draws dust from the vacuum cleaner's dust bin into the dust bag by generating negative pressure suction, eliminating the tedious process of manually cleaning the dust bin. However, despite the numerous advantages of this design, dust bag maintenance issues have gradually become prominent.

[0004] Specifically, users need to regularly clean or replace dust bags to prevent excessive dust accumulation from blocking the air duct. A blocked air duct not only severely impacts the suction efficiency of the exhaust motor but can also cause the motor to overheat, potentially leading to serious problems such as motor damage. However, in actual use, existing vacuum cleaner base stations and their supporting software and hardware often fail to promptly remind users to clean or replace dust bags due to the lack of effective dust accumulation detection mechanisms.

[0005] In summary, the existing handheld vacuum cleaner base stations and their supporting systems have obvious technical defects in dust accumulation detection. A new technology that can monitor dust accumulation in real time is urgently needed to solve this problem. Summary of the Invention

[0006] In order to monitor the dust accumulation in the dust bag in real time to avoid problems such as damage to the vacuum cleaner base station and motor damage, the present application provides a vacuum cleaner base station dust accumulation detection method, device, terminal and storage medium.

[0007] In a first aspect, the present application provides a method for detecting dust accumulation in a vacuum cleaner base station, which adopts the following technical solution: A method for detecting dust accumulation in a vacuum cleaner base station, based on a vacuum cleaner base station, comprises the following steps: monitoring the internal pressure of the vacuum cleaner base station in real time to obtain an internal pressure value, and when the exhaust motor inside the vacuum cleaner base station is running, comparing the internal pressure value with a preset pressure threshold to obtain a pressure measurement result; When the pressure measurement result is abnormal, dust data in the dust bag is obtained through the dust detection sensor of the vacuum cleaner base station, the dust bag is arranged inside the vacuum cleaner base station, and the dust detection sensor is arranged on the dust bag; constructing a dust fullness evaluation formula based on the dust data, and determining whether the dust in the dust bag meets a dust fullness standard based on the dust fullness evaluation formula; If the dust reaches the dust full standard, a dust full signal is sent to the prompt mechanism of the vacuum cleaner base station, and the prompt mechanism issues a dust full warning.

[0008] By adopting the above-mentioned technical means, the internal pressure changes of the vacuum cleaner base station are detected to assist in detecting the dust accumulation in the dust bag, which is used as the trigger condition for dust detection, the timing of dust detection is determined, and the detection process is optimized; dust data is obtained through the dust detection sensor, and a dust fullness assessment formula is established, so that a more accurate assessment of the dust accumulation in the dust bag can be made, thereby activating the alarm mechanism to ensure that the dust fullness state can be detected accurately and timely.

[0009] Preferably, the real-time monitoring of the internal pressure of the vacuum cleaner base station to obtain an internal pressure value, and when the exhaust motor inside the vacuum cleaner base station is running, comparing the internal pressure value with a preset pressure threshold to obtain a pressure measurement result, specifically includes the following steps: The internal pressure of the vacuum cleaner base station is monitored in real time by a pressure sensor provided in the vacuum cleaner base station to obtain an internal pressure value, and when the exhaust motor is running, the internal pressure of the vacuum cleaner base station is a negative pressure; The obtained internal pressure value is compared with a preset pressure threshold. When the negative pressure value is lower than the pressure threshold, the pressure measurement result is abnormal. When the negative pressure value is not lower than the pressure threshold, the pressure measurement result is normal.

[0010] By adopting the above-mentioned technical means, a pressure sensor is used to monitor the pressure inside the vacuum cleaner base station in real time. When the exhaust motor is running, the dust in the vacuum cleaner will be sucked into the dust bag inside the base station, thus generating negative pressure inside the base station. When the negative pressure reaches the preset pressure threshold, it may indicate that too much dust has accumulated in the dust bag. Therefore, measuring the internal pressure can provide a trigger condition for subsequent dust detection, ensure the timeliness of dust detection, and maintain the safety of the motor inside the base station.

[0011] Preferably, obtaining dust data in the dust bag by using a dust detection sensor specifically comprises the following steps: the dust detection sensor comprises a weight sensor, a volume sensor, an electrostatic induction sensor, and an optical sensor; obtaining a weight parameter of the dust in the dust bag by using the weight sensor, obtaining a volume parameter of the dust by using the volume sensor, obtaining an electrostatic induction parameter of the dust by using the electrostatic induction sensor, and obtaining a light scattering intensity parameter of the dust by using the optical sensor; the dust data of the dust bag is obtained by aggregating the weight parameter, the volume parameter, the electrostatic induction parameter, and the light scattering intensity parameter; and filtering and denoising the dust data. The dust is identified and classified according to the dust data to obtain the classification result, wherein the classification is based on the dust type of the dust, and the classification result includes the total amount of each type of dust.

[0012] By adopting the above-mentioned technical means, the dust detection sensor installed on the dust bag is used to obtain the dust data collected in the dust bag, and the dust data is collected and identified and analyzed from multiple angles such as weight, volume, and optics. This is not only conducive to building a subsequent dust full detection model, but also can identify different dust types and optimize the dust full detection model, so as to achieve more accurate detection results for dust accumulation.

[0013] Preferably, the step of constructing a dust fullness evaluation formula based on the dust data specifically includes the following steps: Determining dust evaluation indicators, the evaluation indicators including dust weight, dust volume, electrostatic induction, and optical detection, standardizing the four evaluation indicators according to a preset standardization method, setting a weight index for each evaluation indicator according to the classification result, and establishing a dust fullness evaluation formula based on the standardized evaluation indicators and the corresponding weight indexes; The dust fullness evaluation formula is: T=ω1*standardized dust weight+ω2*standardized dust volume+ω3*standardized electrostatic induction+ω4*standardized optical detection; wherein, T is the comprehensive dust fullness score; ω1, ω2, ω3, ω4 are the weight indexes of the dust weight, the dust volume, the electrostatic induction and the optical detection respectively.

[0014] By adopting the above-mentioned technical means, the dust evaluation index corresponds to the dust data obtained by the dust detection sensor, making the evaluation index more suitable for the current dust detection logic. At the same time, the dust accumulation is highly correlated with the dust type. The detected dust type is used to determine the weight of each evaluation index, and an evaluation formula based on dust weight, dust volume, electrostatic induction and optical detection is established, making the dust fullness evaluation result more accurate.

[0015] Preferably, judging whether the dust in the dust bag reaches a dust full standard according to the dust fullness evaluation formula specifically includes the following steps: Performing the standardization process on the dust data according to the standardization method, and calculating the dust fullness comprehensive score by combining the dust fullness evaluation formula and the standardized dust data; Comparing the dust bag's comprehensive score with preset standard thresholds, the standard thresholds including a warning threshold and a cleaning threshold; when the dust bag's comprehensive score is greater than the warning threshold and not greater than the cleaning threshold, the dust in the dust bag reaches the warning standard; When the dust fullness comprehensive score is greater than the cleaning threshold, the dust in the dust bag meets the cleaning standard; When the dust fullness comprehensive score reaches any one of the warning standard and the cleaning standard, it is determined that the dust has reached the dust fullness standard.

[0016] By adopting the above-mentioned technical means, setting two dust fullness standard thresholds and combining the dust fullness comprehensive score obtained by the dust fullness evaluation formula, real-time dust fullness standard evaluation and decision-making can be achieved, which helps to more accurately judge the dust accumulation situation, formulate reasonable cleaning strategies, and extend the service life of the vacuum cleaner base station.

[0017] Preferably, the step of sending the dust full signal to the prompt mechanism of the vacuum cleaner base station, wherein the prompt mechanism issues a dust full warning, specifically comprises the following steps: Generate a dust full signal according to the dust full standard, and send the dust full signal to a prompt mechanism, the prompt mechanism including an LED light and a buzzer, and light up the LED light and drive the buzzer to emit a buzzer according to the dust full signal to issue a dust full warning; While the LED light and the buzzer are giving the dust full warning, the pressure relief valve provided in the vacuum cleaner base station is opened according to the dust full signal, so that the internal pressure of the vacuum cleaner base station is balanced with the external pressure.

[0018] By adopting the above-mentioned technical means, the internal system of the base station generates a dust-full signal after the dust-full standard is reached. The dust-full signal can automatically light up the LED light and stimulate the buzzer to remind the user that the dust inside the base station is full and needs to be cleaned. At the same time, the pressure relief valve is automatically started to open, so that the pressure inside the base station quickly returns to normal and reaches a balance with the external pressure, thereby protecting the safety inside the base station.

[0019] Preferably, if the dust in the dust bag meets the cleaning standard, the method further includes the following steps: Determining the dust type in the dust bag according to the classification result, the dust type including dry dust, wet dust and oily dust; The dust in the dust bag is cleaned in combination with the classification result and a preset dust treatment measure, and each type of dust corresponds to one of the dust treatment measures.

[0020] By adopting the above-mentioned technical means, different treatment measures are taken for different types of dust according to the dust type. When the dust bag is full, an automatic dust treatment solution is provided, so that the user does not have to manually clean it every time it is full, thereby improving the automation and intelligence level of the vacuum cleaner base station.

[0021] In a second aspect, the present application provides a dust accumulation detection device for a vacuum cleaner base station, which adopts the following technical solution: an internal pressure monitoring module is used to monitor the internal pressure of the vacuum cleaner base station in real time and obtain an internal pressure value. When the exhaust motor inside the vacuum cleaner base station is running, the internal pressure value is compared with a preset pressure threshold to obtain a pressure measurement result; a dust data processing module, configured to obtain and analyze dust data in a dust bag through a dust detection sensor of the vacuum cleaner base station when the pressure measurement result is abnormal, wherein the dust bag is disposed inside the vacuum cleaner base station and the dust detection sensor is disposed on the dust bag; a dust fullness evaluation module, configured to construct a dust fullness evaluation formula based on the dust data, and determine whether the dust in the dust bag meets a dust fullness standard based on the dust fullness evaluation formula; The dust full warning module is used to send a dust full signal to the prompt mechanism of the vacuum cleaner base station if the dust reaches the dust full standard, and the prompt mechanism issues a dust full warning.

[0022] By adopting the above-mentioned technical means, a dust fullness detection system based on the vacuum cleaner base station was built, which provided the necessary software and technical support for the accurate assessment of the dust accumulation inside the base station and ensured the safety inside the base station.

[0023] In a third aspect, the present application provides a smart terminal that adopts the following technical solution: A smart terminal includes a memory and a processor, wherein the memory stores at least one instruction, at least one program, code set or instruction set, and the at least one instruction, at least one program, code set or instruction set is loaded and executed by the processor to implement the dust accumulation detection method for a vacuum cleaner base station as described above.

[0024] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores at least one instruction, at least one program, code set or instruction set, which is loaded and executed by a processor to implement the dust accumulation detection method for a vacuum cleaner base station as described above.

[0025] In summary, this application has at least the following beneficial effects: 1. This application assists in detecting the dust accumulation in the dust bag by detecting the internal pressure changes of the vacuum cleaner base station, and uses it as an auxiliary judgment basis for dust detection, triggering dust detection, and optimizing the detection process; at the same time, dust data is obtained through the dust detection sensor, and multiple factors are comprehensively considered to achieve accurate detection and classification of dust accumulation, thereby establishing a dust fullness assessment formula, so that there is a more accurate assessment of the dust accumulation in the dust bag, the dust accumulation in the dust bag is accurately judged, and timely treatment measures are taken to prevent dust accumulation from damaging the exhaust motor and the base station.

[0026] 2. This application sets different dust treatment measures according to different dust types, which improves the targetedness and efficiency of cleaning. At the same time, the intelligent cleaning decision-making mechanism avoids motor overheating and excessive cleaning, and extends the service life of the vacuum cleaner and motor.

[0027] 3. This application designs an effective dust full detection judgment logic by combining multiple sensors and technologies, which not only improves the accuracy and stability of dust full detection, but also provides users with a more intelligent processing mechanism, improving user experience and device usability; at the same time, a dust full warning and protection mechanism is set up, which promptly reminds users when the dust is full and automatically releases pressure to protect the internal safety of the base station, thereby improving the intelligence level and safety of use of the vacuum cleaner base station. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is a flow chart of a dust accumulation detection method for a vacuum cleaner base station according to this embodiment; Figure 2 This is a flow chart of step S3 of a dust accumulation detection method for a vacuum cleaner base station in this embodiment; Figure 3 This is an architectural diagram of a dust accumulation detection device for a vacuum cleaner base station according to this embodiment. DETAILED DESCRIPTION

[0029] The present application provides a method, device, terminal and storage medium for detecting dust accumulation in a vacuum cleaner base station. To make the purpose, technical solution and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below.

[0030] An embodiment of a dust accumulation detection method for a vacuum cleaner base station of the present application is described in further detail below with reference to the accompanying drawings.

[0031] The dust accumulation detection method for the vacuum cleaner base station provided in this application is implemented based on the vacuum cleaner base station of a handheld vacuum cleaner. A dust collection bag, an exhaust motor and various sensors are arranged inside the vacuum cleaner base station. The sensors include weight sensors, volume sensors, electrostatic induction sensors and optical sensors. The above-mentioned various sensors are all used to detect dust in the dust collection bag. This embodiment also includes a pressure sensor, which is arranged inside the vacuum cleaner base station for monitoring the internal pressure of the base station.

[0032] The dust accumulation detection method of a vacuum cleaner base station in this embodiment has the following process: Figure 1 As shown, the following steps are included: S1. Real-time monitoring of the internal pressure of the vacuum cleaner base station to obtain an internal pressure value. When the exhaust motor inside the vacuum cleaner base station is running, the internal pressure value is compared with a preset pressure threshold to obtain a pressure measurement result. Specifically, the steps include: S11. Monitor the internal pressure of the vacuum cleaner base station in real time through a pressure sensor provided in the vacuum cleaner base station and obtain an internal pressure value.

[0033] When the exhaust motor is running, the internal pressure of the vacuum cleaner base station is negative. This is because the exhaust motor sucks the dust in the handheld vacuum cleaner into the dust bag inside the base station, thus generating negative pressure inside the base station.

[0034] S12: Preset a pressure threshold for the vacuum cleaner base station, and compare the obtained internal pressure value with the preset pressure threshold.

[0035] This pressure threshold can be obtained by collecting data from vacuum cleaner base stations of other models, or can be determined based on previous historical data of the vacuum cleaner base station.

[0036] When the negative pressure value is lower than the pressure threshold, the pressure measurement result is abnormal; when the negative pressure value is not lower than the pressure threshold, the pressure measurement result is normal.

[0037] When negative pressure appears, it means that the exhaust motor in the vacuum cleaner base station has been working for a period of time, and dust has accumulated in the corresponding internal air duct of the base station. When the negative pressure is low to the limit, it means that the dust inside the air duct has accumulated to a certain extent and has begun to affect the normal operation of the exhaust motor.

[0038] Therefore, the negative pressure lower than the pressure threshold is identified as an abnormal pressure measurement result, and is used as an auxiliary determination condition for performing dust full detection, and is used to trigger subsequent dust full detection.

[0039] In another specific implementation, an optical sensor can be used to assist in the dust fullness detection. The optical sensor is installed in a transparent or semi-transparent area of the dust bag and can be a photodiode or a camera.

[0040] Optical sensors are used to monitor the distribution of dust in the dust bag in real time, including dust density, particle size and distribution uniformity.

[0041] By analyzing the distribution data collected by the optical sensor, the dust distribution condition in the dust bag is identified, and it is determined whether there is local or overall dust accumulation in the dust bag.

[0042] A non-uniformity or density threshold is set in advance. When the dust distribution is detected to exceed the preset non-uniformity or density threshold, the distribution result is abnormal, and the subsequent dust full detection is triggered.

[0043] S2. When the pressure measurement result is abnormal, the dust data in the dust bag is obtained and analyzed through the dust detection sensor of the vacuum cleaner base station. This step is the beginning of the dust full detection, which specifically includes the following steps: The dust detection sensor includes a weight sensor, a volume sensor, an electrostatic induction sensor, and an optical sensor. The dust collection bag is arranged inside the vacuum cleaner base station, and the dust detection sensor is arranged on the dust collection bag.

[0044] In this embodiment, the weight sensor is arranged at the bottom area of the dust bag to ensure that the weight of the dust in the dust bag can be accurately measured; The volume sensor is installed on the side or top of the dust bag and indirectly estimates the dust volume by measuring the height of the dust inside the dust bag. The electrostatic induction sensor is installed on the outside of the dust bag, close to the area where dust accumulates. Since the electrostatic induction sensor works by sensing the electrostatic charge between dust particles and the probe, a certain gap should be ensured between the sensor and the dust bag to allow dust particles to move freely and generate electrostatic charge. Optical sensors are installed in the transparent or translucent area of the dust bag and can use laser or LED light sources and photosensors to detect the amount of dust by measuring the scattering or absorption of light by dust. S21. Obtain a weight parameter of the dust in the dust bag through a weight sensor, obtain a volume parameter of the dust through a volume sensor, obtain an electrostatic induction parameter of the dust through an electrostatic induction sensor, and obtain a light scattering intensity parameter of the dust through an optical sensor.

[0045] S22. The weight parameter, volume parameter, electrostatic induction parameter, and light scattering intensity parameter are aggregated to obtain dust data of the dust bag, and the dust data is filtered, denoised, and processed for outliers to ensure the accuracy and reliability of the dust data.

[0046] S23. Identify and classify the dust according to the dust data and obtain a classification result. The classification is based on the dust type of the dust. The classification result includes the total amount of each type of dust.

[0047] Various sensors can achieve accurate identification and classification of dust through multi-spectral analysis, image recognition and other technologies, which will not be elaborated here.

[0048] In this embodiment, the dust types include dry dust, wet dust and oily dust. After identifying these dusts, the identification results obtained also include the proportions of dry dust, wet dust and oily dust in the dust bag.

[0049] S3. Construct a dust fullness evaluation formula based on the dust data, and judge whether the dust in the dust bag reaches the dust fullness standard based on the dust fullness evaluation formula. The process is as follows: Figure 2 As shown, the specific steps include: S31. Determine dust evaluation indicators, which include dust weight, dust volume, electrostatic induction, and optical detection.

[0050] The above four indicators correspond to the obtained dust data, and the evaluation indicators are more suitable for the current dust detection logic.

[0051] S32. Standardize the four evaluation indicators according to a preset standardization method. Since the dimensions and value ranges of the four evaluation indicators may be different, they need to be standardized first so that the value of each indicator is within a common and comparable range.

[0052] In this embodiment, the normalization method is Z-score normalization.

[0053] S33. Set a weight index for each evaluation indicator based on the classification result, and the sum of the weight indexes is 1.

[0054] Since different dust types will also affect the dust accumulation results, the classification results are used to assign weight indexes to the above four evaluation indicators.

[0055] Specifically, when the dust type is dry dust, its impact on the above four evaluation indicators and the weight distribution ratio are as follows: Dust weight Dust volume electrostatic induction Optical inspection Influence Lighter Larger Easy to be charged Relatively scattered Weight ratio Smaller Larger Larger Smaller When the dust type is wet dust, its impact on the above four evaluation indicators and the weight ratio are as follows: Dust weight Dust volume electrostatic induction Optical inspection Influence heavier Larger Not easy to be charged Restricted Weight ratio Larger Larger Smaller Smaller When the dust type is oily dust, its impact on the above four evaluation indicators and the relationship between their weight ratios are as follows: Dust weight Dust volume electrostatic induction Optical inspection Influence heavier Smaller Not easy to be charged Restricted Weight ratio Larger Smaller Smaller Larger Among the above evaluation indicators, the distribution of the weight index of the optical detection indicator refers to the other three evaluation indicators and is affected by the weight index of the other three evaluation indicators to balance the distribution of the overall weight index.

[0056] In a specific implementation, the relationship between dust type and weight index is: Dust type Dust weight Dust volume electrostatic induction Optical inspection Dry dust 0.2 0.4 0.3 0.1 Oily dust 0.3 0.2 0.1 0.4 Wet dust 0.35 0.35 0.1 0.2 Of course, in some cases, when the dust in the dust bag includes two or more of the above-mentioned dust types, the above-mentioned weight index is adjusted in combination with the proportion of each dust type in the dust bag. For example, when the proportion of dry dust is large, the weight index of the dust weight is appropriately increased. I will not go into details here.

[0057] S34. Establish a dust fullness evaluation formula based on the standardized evaluation indicators and corresponding weight indexes; The dust-filled evaluation formula is: T = ω1*standardized dust weight + ω2*standardized dust volume + ω3*standardized electrostatic induction + ω4*standardized optical detection; where T is the comprehensive dust fullness score; ω1, ω2, ω3, and ω4 are the weight indices of dust weight, dust volume, electrostatic induction, and optical detection, respectively.

[0058] S35. Standardize the dust data according to a standardization method, and calculate a comprehensive dust fullness score by combining the dust fullness evaluation formula and the standardized dust data.

[0059] For ease of explanation, the following is dust data in a specific embodiment when only dry dust exists: The standardized dust weight is 0.6, dust volume is 0.8, electrostatic induction is 0.7, and optical detection is 0.5; The dust weight weight index is 0.2, the dust volume weight index is 0.4, the electrostatic induction weight index is 0.3, and the optical detection weight index is 0.1; Substitute the above dust data into the dust fullness evaluation formula: T=0.2*0.6+0.4*0.8+0.3*0.7+0.1*0.5=0.70; therefore, the obtained dust fullness comprehensive score is 0.7.

[0060] S36: Compare the dust fullness comprehensive score with a preset standard threshold, which includes a warning threshold and a cleaning threshold. In this embodiment, the warning threshold is 0.65 and the cleaning threshold is 0.85. The setting of the standard threshold can be changed according to the user's own usage habits.

[0061] When the dust full comprehensive score is greater than the warning threshold and not greater than the cleaning threshold, the dust in the dust bag has reached the warning standard.

[0062] When the dust fullness comprehensive score is greater than the cleaning threshold, the dust in the dust bag meets the cleaning standard.

[0063] If the dust bag's comprehensive score reaches either the warning threshold or the cleaning threshold, the dust bag is deemed to have reached the dust full standard. If the comprehensive score is not greater than the warning threshold, the dust bag is deemed to have not reached the dust full standard.

[0064] S4. If the dust reaches the dust full standard, a dust full signal is sent to the prompt mechanism of the vacuum cleaner base station, and the prompt mechanism issues a dust full alarm. Specifically, the steps include: S41. When the dust reaches a dust full standard, generate a dust full signal according to the dust full standard.

[0065] S42: Send the dust full signal to the prompt mechanism, which includes an LED light and a buzzer. According to the dust full signal, the LED light is lit and the buzzer is driven to emit a buzzing sound to issue a dust full warning.

[0066] S43. While the LED light and the buzzer are giving a dust full warning, the pressure relief valve provided in the vacuum cleaner base station is opened according to the dust full signal, so that the internal pressure of the vacuum cleaner base station reaches equilibrium with the external pressure.

[0067] The automatic opening of the pressure relief valve according to the dust full signal is a safety protection mechanism of the system. When the dust full standard is reached, the pressure relief valve is forcibly opened, so that the internal pressure of the base station quickly returns to normal, ensuring the pressure balance inside and outside the base station, avoiding damage to the internal structure of the base station, or safety hazards caused by overheating of the exhaust motor.

[0068] S5. If the dust in the dust bag reaches the cleaning standard, the dust in the dust bag is automatically cleaned.

[0069] S51. Determine the type of dust in the dust bag based on the classification result, where the dust types include dry dust, wet dust, and oily dust; S52: Clean the dust in the dust bag based on the classification result and the preset dust treatment measures, where each dust type corresponds to a dust treatment measure.

[0070] In a specific embodiment, the dust handling mechanism includes: When only dry dust exists, the negative pressure suction mechanism is activated. The strong suction force generated by the suction fan connected to the dust bag is used to suck the dust in the dust bag into a special collection container, or directly discharge it into the external environment in accordance with environmental protection requirements.

[0071] When there is wet dust or oily dust, a vibration mechanism is used to loosen and drop the dust (the dust bag is equipped with a vibration structure, which will not be described here), and then the dust is removed with the help of negative pressure suction.

[0072] When both dry dust and wet / oily dust are present, the proportion of each dust type is determined based on the classification results. If wet dust or oily dust accounts for a larger proportion, pre-processing is performed first. Pre-processing includes heating and drying or vibrating to loosen the dust and reduce the difficulty of cleaning. (A heating structure is installed inside the base station to heat the dust or air in the dust bag. The hardware structure is not described here.) Then start the negative pressure suction mechanism of the vacuum cleaner to suck dry dust and some wet dust and oily dust into a special collection container; For the remaining wet dust and oily dust, the vibration mechanism is used again to loosen it and the negative pressure suction mechanism is repeated.

[0073] During the cleanup process, continue to monitor the data of various indicators in real time and dynamically adjust the cleanup strategy as needed.

[0074] For example, if the electrostatic induction parameter suddenly increases, it means that the dust contains a large amount of static electricity, and it is necessary to increase the cleaning frequency or adopt special cleaning methods.

[0075] Based on the same inventive concept as above, the embodiment of the present application also discloses a dust accumulation detection device for a vacuum cleaner base station, the structure of which is as follows: Figure 3 As shown, the device includes the following modules: An internal pressure monitoring module is used to monitor the internal pressure of the vacuum cleaner base station in real time and obtain an internal pressure value. When the exhaust motor inside the vacuum cleaner base station is running, the internal pressure value is compared with a preset pressure threshold to obtain a pressure measurement result; A dust data processing module is used to obtain and analyze dust data in the dust bag through the dust detection sensor of the vacuum cleaner base station when the pressure measurement result is abnormal. The dust bag is set inside the vacuum cleaner base station, and the dust detection sensor is set on the dust bag; A dust fullness evaluation module is used to construct a dust fullness evaluation formula based on dust data, and to determine whether the dust in the dust bag meets the dust fullness standard based on the dust fullness evaluation formula; The dust full warning module is used to send a dust full signal to the prompt mechanism of the vacuum cleaner base station if the dust reaches the dust full standard, and the prompt mechanism issues a dust full warning.

[0076] In a specific embodiment, the internal pressure monitoring module includes the following units: A first internal pressure monitoring unit is used to monitor the internal pressure of the vacuum cleaner base station in real time through a pressure sensor provided in the vacuum cleaner base station. When the exhaust motor is running, the internal pressure of the vacuum cleaner base station is negative pressure; The second internal pressure monitoring unit is used to compare the obtained internal pressure value with a preset pressure threshold. When the negative pressure value is lower than the pressure threshold, the pressure measurement result is abnormal. When the negative pressure value is not lower than the pressure threshold, the pressure measurement result is normal.

[0077] In a specific embodiment, the dust data processing module includes the following units: a first dust data processing unit, configured to obtain a weight parameter of dust in the dust bag through a weight sensor, obtain a volume parameter of the dust through a volume sensor, obtain an electrostatic induction parameter of the dust through an electrostatic induction sensor, and obtain a light scattering intensity parameter of the dust through an optical sensor; the weight parameter, volume parameter, electrostatic induction parameter, and light scattering intensity parameter are aggregated to obtain dust data of the dust bag, and the dust data is filtered and denoised; The second dust data processing unit is used to identify and classify dust according to the dust data and obtain a classification result. The classification is based on the dust type of the dust, and the classification result includes the total amount of each type of dust.

[0078] In a specific implementation scheme, the dust fullness assessment module includes the following units: A first dust fullness evaluation unit is used to determine dust evaluation indicators, including dust weight, dust volume, electrostatic induction and optical detection, and standardize the four evaluation indicators according to a preset standardization method; The second dust fullness evaluation unit is used to set a weight index for each evaluation indicator according to the classification result; The third dust fullness evaluation unit is used to establish a dust fullness evaluation formula based on the standardized evaluation index and the corresponding weight index; the dust fullness evaluation formula is: T = ω1*standardized dust weight + ω2*standardized dust volume + ω3*standardized electrostatic induction + ω4*standardized optical detection; where T is the comprehensive dust fullness score; ω1, ω2, ω3, and ω4 are the weight indices of dust weight, dust volume, electrostatic induction, and optical detection, respectively.

[0079] A fourth dust fullness evaluation unit is configured to normalize the dust data according to a standardization method, and calculate a comprehensive dust fullness score by combining a dust fullness evaluation formula with the standardized dust data; The fifth dust fullness assessment unit is used to compare the dust fullness comprehensive score with the preset standard thresholds. The standard thresholds include warning thresholds and cleaning thresholds. When the dust fullness comprehensive score is greater than the warning threshold but not greater than the cleaning threshold, the dust in the dust bag has reached the warning standard; when the dust fullness comprehensive score is greater than the cleaning threshold, the dust in the dust bag has reached the cleaning standard; when the dust fullness comprehensive score reaches any one of the warning standard and the cleaning standard, it is determined that the dust has reached the dust full standard.

[0080] In a specific implementation scheme, the dust full warning module includes the following units: The first dust full alarm unit is used to generate a dust full signal according to the dust full standard and send the dust full signal to the prompt mechanism. The prompt mechanism includes an LED light and a buzzer. The LED light is lit and the buzzer is driven to emit a buzzer according to the dust full signal to issue a dust full alarm. The second dust full alarm unit is used to open the pressure relief valve provided in the vacuum cleaner base station according to the dust full signal while the LED light and buzzer give a dust full alarm, so that the internal pressure of the vacuum cleaner base station reaches a balance with the external pressure.

[0081] In a specific feasible implementation scheme, a dust accumulation detection device for a vacuum cleaner base station also includes the following modules: a dust full cleaning module, which is used to determine the type of dust in the dust bag based on the classification results, and the dust types include dry dust, wet dust and oily dust; the dust in the dust bag is cleaned in combination with the classification results and preset dust treatment measures, and each dust type corresponds to a dust treatment measure.

[0082] From the above functional introduction, it can be seen that the dust accumulation detection device for a vacuum cleaner base station in this application has built a dust accumulation detection system that integrates detection, alarm, and cleaning. By comprehensively considering multiple factors, it can achieve accurate detection and classification of dust accumulation, extend the service life of the vacuum cleaner and motor, improve the targetedness and efficiency of cleaning, and promote the sustained and rapid development of the economy and society.

[0083] Based on the same inventive concept mentioned above, an embodiment of the present application also discloses a computer-readable storage medium, which stores at least one instruction, at least one program, code set or instruction set. The at least one instruction, at least one program, code set or instruction set can be loaded and executed by a processor to implement the dust accumulation detection method for a vacuum cleaner base station provided in the above method embodiment.

[0084] Also based on the same inventive concept mentioned above, an embodiment of the present application also discloses a computer-readable storage medium, which stores at least one instruction, at least one program, code set or instruction set. The at least one instruction, at least one program, code set or instruction set is loaded and executed by a processor to implement the dust accumulation detection method for a vacuum cleaner base station as described above.

[0085] Those skilled in the art will appreciate that all or part of the steps of implementing the above embodiments may be accomplished by hardware, or may be accomplished by a program instructing the relevant hardware. The program may be stored in the computer-readable storage medium, and the computer-readable storage medium may include, for example, various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0086] The above description is merely an optional embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A dust accumulation detection method for a vacuum cleaner base station, based on a vacuum cleaner base station, characterized in that: The steps include: monitoring the internal pressure of the vacuum cleaner base station in real time to obtain an internal pressure value, and when the exhaust motor inside the vacuum cleaner base station is running, comparing the internal pressure value with a preset pressure threshold to obtain a pressure measurement result; When the pressure measurement result is abnormal, dust data in the dust bag is obtained through the dust detection sensor of the vacuum cleaner base station, the dust bag is arranged inside the vacuum cleaner base station, and the dust detection sensor is arranged on the dust bag; constructing a dust fullness evaluation formula based on the dust data, and determining whether the dust in the dust bag meets a dust fullness standard based on the dust fullness evaluation formula; If the dust reaches the dust full standard, a dust full signal is sent to the prompt mechanism of the vacuum cleaner base station, and the prompt mechanism issues a dust full warning.

2. The dust accumulation detection method for a vacuum cleaner base station according to claim 1, characterized in that: The real-time monitoring of the internal pressure of the vacuum cleaner base station to obtain an internal pressure value, and when the exhaust motor inside the vacuum cleaner base station is running, comparing the internal pressure value with a preset pressure threshold to obtain a pressure measurement result, specifically includes the following steps: The internal pressure of the vacuum cleaner base station is monitored in real time by a pressure sensor provided in the vacuum cleaner base station to obtain an internal pressure value, and when the exhaust motor is running, the internal pressure of the vacuum cleaner base station is negative pressure; The obtained internal pressure value is compared with a preset pressure threshold. When the negative pressure value is lower than the pressure threshold, the pressure measurement result is abnormal. When the negative pressure value is not lower than the pressure threshold, the pressure measurement result is normal.

3. The dust accumulation detection method for a vacuum cleaner base station according to claim 1, characterized in that: The method of obtaining dust data in the dust bag by using a dust detection sensor specifically includes the following steps: The dust detection sensor includes a weight sensor, a volume sensor, an electrostatic induction sensor, and an optical sensor. The weight parameter of the dust in the dust bag is obtained by the weight sensor, the volume parameter of the dust is obtained by the volume sensor, the electrostatic induction parameter of the dust is obtained by the electrostatic induction sensor, and the light scattering intensity parameter of the dust is obtained by the optical sensor. The weight parameter, the volume parameter, the electrostatic induction parameter, and the light scattering intensity parameter are aggregated to obtain dust data of the dust bag, and the dust data is filtered and denoised; The dust is identified and classified according to the dust data to obtain the classification result, wherein the classification is based on the dust type of the dust, and the classification result includes the total amount of each type of dust.

4. The dust accumulation detection method for a vacuum cleaner base station according to claim 3, characterized in that: The step of constructing a dust fullness evaluation formula based on the dust data specifically includes the following steps: Determining dust evaluation indicators, the evaluation indicators including dust weight, dust volume, electrostatic induction, and optical detection, standardizing the four evaluation indicators according to a preset standardization method, setting a weight index for each evaluation indicator according to the classification result, and establishing a dust fullness evaluation formula based on the standardized evaluation indicators and the corresponding weight indexes; The dust fullness evaluation formula is: T=ω1*standardized dust weight+ω2*standardized dust volume+ω3*standardized electrostatic induction+ω4*standardized optical detection; wherein, T is the comprehensive dust fullness score; ω1, ω2, ω3, ω4 are the weight indexes of the dust weight, the dust volume, the electrostatic induction and the optical detection respectively.

5. The dust accumulation detection method for a vacuum cleaner base station according to claim 4, characterized in that: The step of judging whether the dust in the dust bag reaches the dust full standard according to the dust fullness evaluation formula specifically includes the following steps: Performing the standardization process on the dust data according to the standardization method, and calculating the dust fullness comprehensive score by combining the dust fullness evaluation formula and the standardized dust data; Comparing the dust bag's comprehensive score with preset standard thresholds, the standard thresholds including a warning threshold and a cleaning threshold; when the dust bag's comprehensive score is greater than the warning threshold and not greater than the cleaning threshold, the dust in the dust bag reaches the warning standard; When the dust fullness comprehensive score is greater than the cleaning threshold, the dust in the dust bag meets the cleaning standard; When the dust fullness comprehensive score reaches any one of the warning standard and the cleaning standard, it is determined that the dust has reached the dust fullness standard.

6. The dust accumulation detection method for a vacuum cleaner base station according to claim 3, characterized in that: The step of sending the dust full signal to the prompt mechanism of the vacuum cleaner base station, wherein the prompt mechanism issues a dust full warning, specifically comprises the following steps: Generate a dust full signal according to the dust full standard, and send the dust full signal to a prompt mechanism, the prompt mechanism including an LED light and a buzzer, and light up the LED light and drive the buzzer to emit a buzzer according to the dust full signal to issue a dust full warning; While the LED light and the buzzer are giving the dust full warning, the pressure relief valve provided in the vacuum cleaner base station is opened according to the dust full signal, so that the internal pressure of the vacuum cleaner base station is balanced with the external pressure.

7. The dust accumulation detection method for a vacuum cleaner base station according to claim 5, characterized in that: If the dust in the dust bag meets the cleaning standard, the method further includes the following steps: Determining the dust type in the dust bag according to the classification result, the dust type including dry dust, wet dust and oily dust; The dust in the dust bag is cleaned in combination with the classification result and a preset dust treatment measure, and each type of dust corresponds to one of the dust treatment measures.

8. A dust accumulation detection device for a vacuum cleaner base station, characterized in that: Includes the following modules: an internal pressure monitoring module for monitoring the internal pressure of the vacuum cleaner base station in real time and obtaining an internal pressure value, and when the exhaust motor inside the vacuum cleaner base station is running, comparing the internal pressure value with a preset pressure threshold to obtain a pressure measurement result; a dust data processing module for obtaining and analyzing dust data in a dust collection bag through a dust detection sensor of the vacuum cleaner base station when the pressure measurement result is abnormal, wherein the dust collection bag is arranged inside the vacuum cleaner base station, and the dust detection sensor is arranged on the dust collection bag; a dust fullness evaluation module, configured to construct a dust fullness evaluation formula based on the dust data, and determine whether the dust in the dust bag meets a dust fullness standard based on the dust fullness evaluation formula; The dust full warning module is used to send a dust full signal to the prompt mechanism of the vacuum cleaner base station if the dust reaches the dust full standard, and the prompt mechanism issues a dust full warning.

9. An intelligent terminal, characterized in that: It includes a memory and a processor, wherein the memory stores at least one instruction, at least one program, code set or instruction set, and the at least one instruction, at least one program, code set or instruction set is loaded and executed by the processor to implement the dust accumulation detection method for a vacuum cleaner base station as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The readable storage medium stores at least one instruction, at least one program, code set or instruction set, and the at least one instruction, at least one program, code set or instruction set is loaded and executed by the processor to implement the dust accumulation detection method for the vacuum cleaner base station as described in any one of claims 1 to 7.

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