Intelligent equipment dehumidification method, dehumidification module, device, equipment and medium

Abstract

The invention relates to the field of equipment dehumidification, and discloses an intelligent equipment dehumidification method, a dehumidification module, a device, equipment and a medium. A dehumidification module installed in the surrounding environment is started, and water in the internal environment of the intelligent equipment is discharged through the dehumidification module; and in response to the condition that the working current of the dehumidification module meets the preset condition, closing the dehumidification module. The problems that an existing intelligent equipment water removal scheme is limited in moisture absorption capacity, and internal water cannot be continuously and automatically drained are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of device dehumidification, in particular to a smart device dehumidification method, a dehumidification module, a device, a device and a medium. BACKGROUND

[0002] With the popularization of Internet of Things technology, various types of smart devices (such as smart door locks, security cameras, environmental sensors, outdoor controllers, etc.) are widely used in various scenarios. These devices often need to work in outdoor, semi-outdoor or environments with significant temperature and humidity changes for a long time, facing the risk of water immersion such as rainwater infiltration, condensate accumulation, and cleaning liquid residue. After water enters the interior of the device, it can easily cause circuit short circuit, component corrosion, and structural rust, which seriously affects the reliability, service life and functional safety of the device.

[0003] Currently, for internal moisture-proof dehumidification of smart devices, the common method is to place disposable moisture-absorbing materials (such as silica gel, calcium chloride, etc.) inside the shell. This type of method has limited moisture absorption capacity and cannot cope with a large amount of water or a continuous high-humidity environment; the moisture-absorbing material needs to be replaced manually after saturation, and cannot achieve continuous and automatic water removal maintenance; and most of the technologies belong to passive adsorption, which is difficult to actively remove water outside the device. SUMMARY

[0004] Therefore, the embodiments of the present application provide a smart device dehumidification method, a dehumidification module, a device, a device and a medium to solve the problem of limited moisture absorption capacity and inability to continuously and automatically remove internal water of the existing smart device water removal solution.

[0005] In a first aspect, the embodiments of the present application provide a smart device dehumidification method, which comprises: in response to a water immersion risk event occurring in the surrounding environment of the smart device; starting a dehumidification module installed in the surrounding environment, and using the dehumidification module to remove water in the internal environment of the smart device; in response to the working current of the dehumidification module meeting a preset condition, turning off the dehumidification module.

[0006] Further, the water immersion risk event at least includes: a first type of water immersion risk event, a second type of water immersion risk event, a third type of water immersion risk event and a fourth type of water immersion risk event; The first type of water immersion risk event is that the internal and external environment temperature difference of the smart device in the current time period reaches a temperature difference threshold, and / or the environmental humidity value of the smart device in the current time period reaches a humidity threshold, and / or the internal and external environment temperature prediction difference of the smart device in the future time period reaches the temperature difference threshold, and / or the environmental humidity prediction value of the smart device in the future time period reaches the humidity threshold; The second type of water immersion risk event is that a rainfall event or a water use event is identified around the smart device by an image analysis component; The third type of water immersion risk event is that a current time of the smart device reaches a pre-configured trigger time; The fourth type of water immersion risk event is that an ambient water level of the smart device reaches a water level threshold detected by a water level sensor in the smart device.

[0007] Further, the pre-set condition at least includes that a working current of the dehumidification module drops to a pre-set current threshold and maintains for a pre-set time period.

[0008] Further, the method further includes: After the dehumidification module is started, a working current of the dehumidification module in a pre-set time period is collected, wherein the working current is used to represent a dehumidification load of the dehumidification module; The working current is compared with a pre-set current threshold to obtain a comparison result; According to the comparison result, a working state of the dehumidification module is dynamically adjusted.

[0009] Further, the working state of the dehumidification module is dynamically adjusted according to the comparison result, including: If the comparison result is that the working current continuously exceeds the pre-set current threshold in the pre-set time period, the dehumidification module is controlled to maintain starting; Or, if the comparison result is that the working current does not continuously exceed the pre-set current threshold in the pre-set time period, a dehumidification rate of the dehumidification module is adjusted according to a current change trend of the working current in the pre-set time period, until the working current of the dehumidification module continuously drops below the pre-set current threshold and maintains for a pre-set time period, and the dehumidification module is turned off.

[0010] In a second aspect, an embodiment of the present application provides a dehumidification module, including: a drainage device, an auxiliary water absorption material, and a control circuit board; one end of the auxiliary water absorption material is attached to a water absorption surface of the drainage device, and the other end is attached to a water accumulation area of an internal environment of a smart device; the control circuit board is connected with the drainage device and the smart device respectively, and is used to adjust a dehumidification rate of the dehumidification module after the dehumidification module is started.

[0011] Further, the dehumidification module further includes: a drainage plate and a refrigeration device; the drainage plate is arranged in the smart device, is arranged obliquely relative to a bottom plate of the smart device, and is attached to the water accumulation area at the bottom; and the refrigeration device is installed on the drainage plate. The refrigeration device is used to cool the internal environment of the smart device. The drainage plate is used to transport water generated on the drainage plate to the water accumulation area during refrigeration of the refrigerator.

[0012] In a third aspect, an embodiment of the present application provides a dehumidification device for an intelligent device, the device comprising: a first response module configured to respond to a water immersion risk event occurring in an ambient environment of the intelligent device; a starting module configured to start a dehumidification module installed in the ambient environment and use the dehumidification module to drain water in an internal environment of the intelligent device; a second response module configured to close the dehumidification module in response to a working current of the dehumidification module satisfying a preset condition.

[0013] In a fourth aspect, an embodiment of the present application provides a computer device, comprising a memory and a processor, which are communicatively connected with each other, and the memory stores computer instructions, and the processor executes the computer instructions to perform the method of the first aspect or any of the corresponding embodiments thereof.

[0014] In a fifth aspect, an embodiment of the present application provides a computer readable storage medium, which stores computer instructions, and the computer instructions are used to make a computer execute the method of the first aspect or any of the corresponding embodiments thereof.

[0015] The method provided by the embodiment of the present application has the following beneficial effects: The method provided by the embodiment of the present application can perform real-time or predictive analysis on environmental humidity, weather data or sensor signals by detecting whether a water immersion risk event occurs in an ambient environment of an intelligent device, realizes early identification and early warning of potential water entry threats, and thus changes dehumidification operation from passive response to active prevention, avoiding processing after water accumulation causes substantial damage to the device; based on the detection result, if there is a water immersion risk event, a dehumidification module installed in the ambient environment is started, realizing complete automation and timely response of the dehumidification process, and the dehumidification mechanism can be started immediately when the risk occurs or the risk is predicted to occur without manual intervention, improving the timeliness and autonomy of device maintenance; water in the internal environment of the intelligent device is drained by using the dehumidification module, which actively moves the internal accumulated water to the outside of the device by a physical method, not only realizing rapid and efficient dehumidification response, but also effectively dealing with various water entry conditions including condensed water and leakage water, and realizing complete removal of water instead of internal transfer or adsorption, avoiding secondary damage; at the same time, the process can be performed in a normal state of the intelligent device, without affecting the external protection level and normal use function. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the specific embodiments of the present application or the prior art, the drawings needed to be used in the specific embodiments or prior art description will be briefly introduced as follows. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0017] Figure 1 is a flowchart of a dehumidification method of a smart device according to an embodiment of the present application; Figure 2 is a flowchart of another dehumidification method of a smart device according to an embodiment of the present application; Figure 3 is a structural diagram of a dehumidification module according to an embodiment of the present application; Figure 4 is a layout diagram of a dehumidification module inside a smart device according to an embodiment of the present application; Figure 5 is a layout diagram of another dehumidification module inside a smart device according to an embodiment of the present application; Figure 6 is a layout diagram of still another dehumidification module inside a smart device according to an embodiment of the present application; Figure 7 is a structural block diagram of a dehumidification device of a smart device according to an embodiment of the present application; Figure 8 is a hardware structural diagram of a computer device according to an embodiment of the present application. DETAILED DESCRIPTION

[0018] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0019] According to an embodiment of the present application, a dehumidification method, a dehumidification module, a device, a computer device and a medium of a smart device are provided. It should be noted that the steps shown in the flowchart of the drawings can be executed in a computer system such as a group of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0020] In the present embodiment, a dehumidification method of a smart device is provided, Figure 1 is a flowchart of a dehumidification method of a smart device according to an embodiment of the present application, as Figure 1As shown, the flow includes the following steps: Step S101, in response to a water immersion risk event occurring in the surrounding environment of the intelligent device.

[0021] In the embodiments of the present application, the intelligent device evaluates the microclimate state of the internal cavity of its shell and the potential threats from the outside by executing the data collection, analysis and judgment process, to output a conclusion about whether water has or will be immersed into the internal environment. The multi-dimensional environmental information (such as timing data, weather forecast, real-time temperature and humidity, sensor and visual fusion events, etc.) is actively or passively collected by multiple logic units, and the environmental state data is matched and analyzed with the preset risk conditions (such as time threshold, humidity threshold, event pattern) stored in the device to determine whether there is a water immersion risk event that needs to start the water removal program. The intelligent conversion from environmental perception to risk determination is the basis for the decision of the subsequent active water removal action.

[0022] The intelligent device judges in real time or in advance whether a water immersion risk event that needs to start the dehumidification occurs by comprehensively monitoring and analyzing various signals and data of its surrounding environment. The water immersion risk event is divided into four categories: the first category of water immersion risk event is based on environmental physical parameters, which is determined by comparing whether the current or predicted temperature difference between the internal and external environment reaches the temperature difference threshold, and / or whether the environmental humidity (measured or forecast) reaches the humidity threshold, mainly used to identify condensation risk and continuous high humidity threat; the second category of water immersion risk event relies on image analysis components (such as cameras) to visually identify the surrounding environment, to directly determine whether an immediate water entry event such as rainfall or human water use occurs; the third category of water immersion risk event is based on time conditions, which is automatically determined when the system time reaches the preset trigger time (such as the early morning period when condensation is prone to occur); the fourth category of water immersion risk event is determined by the liquid level sensor to monitor the water level in the device in real time, and when the detected water level reaches the set threshold, it is determined that water has entered. Through multi-source information fusion and condition matching, the system can accurately and timely identify various water entry risks from predictive early warning to sudden events, thereby triggering the subsequent active dehumidification response.

[0023] Step S102, starting the dehumidification module installed in the surrounding environment, and using the dehumidification module to drain the water in the internal environment of the intelligent device.

[0024] In the embodiments of the present application, when the intelligent device determines that a water immersion risk event occurs in its surrounding environment, the main controller immediately triggers a control instruction to start the dehumidification module installed in the environment (usually the device cavity or its adjacent position).

[0025] The dehumidification module can achieve the drainage function by different technical paths, for example: a suction pump device that pumps out the internal water accumulation, a piezoelectric ceramic ring structure that sprays water by combining water absorption materials and vibration, or a mechanical drainage structure that is set at the bottom of the device where water is easy to accumulate and drains the water through a controllable valve. The specific implementation scheme can be selected according to the device structure, power consumption requirement, and waterproof grade requirement.

[0026] Taking the piezoelectric ceramic ring structure as an example, the starting process first reads the pre-configured module control parameters (such as driving frequency, voltage, and working mode) from the non-volatile memory of the device, and then the control circuit generates corresponding high-frequency driving electrical signals based on these parameters and loads them to the core component of the dehumidification module: the piezoelectric ceramic ring of the drainage device. Under the inverse piezoelectric effect, the piezoelectric ceramic ring generates high-frequency mechanical vibration, thereby driving the entire drainage device into an effective working state. It should be noted that the system can call different sets of control parameters according to the type of water immersion risk event (such as predictive condensation risk or sudden direct water immersion event); for example, for emergency events such as heavy rain confirmed by the camera, a powerful mode driving with higher voltage and duty cycle can be automatically adopted to achieve a faster and more urgent drainage response. The dehumidification module after starting immediately performs its core function: through the internal auxiliary water absorption material (such as a water absorption cotton stick) using capillary action to actively absorb and transport the water accumulated inside the device to the atomization interface, and then by the high-frequency vibration of the drainage device to break the water into micron-sized water mist, finally through the micropore structure on the drainage device to direct the water mist out of the device, thereby completing the dehumidification task of effectively draining the water in the internal environment of the intelligent device.

[0027] Step S103, in response to the working current of the dehumidification module meeting the preset condition, the dehumidification module is turned off.

[0028] In the embodiments of the present application, the working current of the dehumidification module is monitored in real time to intelligently determine whether the dehumidification task is completed, and whether the module is closed is determined accordingly. When the dehumidification module is started and begins to drain water, its control circuit will continuously collect the working current in a preset time period, and the current value directly reflects the size of the load generated by the drainage device due to the processing of water, that is, the dehumidification load. The collected real-time working current is compared and analyzed with the preset current threshold to form a closed-loop feedback control: if the working current is continuously greater than the preset current threshold in the preset time period, it indicates that there is still sufficient moisture inside the device to be drained, and the dehumidification module will be kept in the started state to continue efficient dehumidification; otherwise, if the working current is not continuously greater than the preset current threshold, the system will analyze the current change trend and dynamically adjust the driving signal output to the dehumidification module (such as changing the PWM duty cycle) to adjust the dehumidification rate, so as to seek and maintain the optimal dehumidification efficiency. This adjustment process continues until the system detects that the working current of the dehumidification module decreases to below the preset current threshold and can be stably maintained in this state within the preset time period. This state indicates that the water that can be effectively drained inside has been basically exhausted, and the dehumidification load has been significantly reduced. At this time, it is determined that the preset condition has been met, and a shutdown instruction is generated to cut off the driving signal to stop the dehumidification module from working, thereby ensuring the thoroughness of dehumidification while avoiding the invalid energy consumption and potential idle risk of the device, and completing the complete intelligent control closed loop from risk response to task termination.

[0029] In the embodiments of the present application, the water immersion risk event at least includes: a first type of water immersion risk event, a second type of water immersion risk event, a third type of water immersion risk event, and a fourth type of water immersion risk event; The first type of water immersion risk event is that the internal and external environment temperature difference of the intelligent device in the current time period reaches the temperature difference threshold, and / or the environment humidity value of the intelligent device in the current time period reaches the humidity threshold, and / or the internal and external environment temperature prediction difference of the intelligent device in the future time period reaches the temperature difference threshold, and / or the environment humidity prediction value of the intelligent device in the future time period reaches the humidity threshold; The second type of water immersion risk event is that the image analysis component identifies that the surrounding environment of the intelligent device has a rainfall event or a water use event; The third type of water immersion risk event is that the current time of the intelligent device reaches the pre-configured trigger time; The fourth type of water immersion risk event is that the water level sensor in the intelligent device detects that the environment water level of the intelligent device reaches the water level threshold.

[0030] Specifically, the four types of water immersion risk events defined together constitute a multi-layered complementary risk identification system, aiming to comprehensively cover various water ingress threats from prediction and early warning to immediate confirmation. The first type of water immersion risk event is based on the threshold judgment of environmental physical parameters. By comparing the current or future internal and external environmental temperature difference, whether the measured or predicted environmental humidity reaches the preset threshold, it is mainly used to identify predictive water ingress risk caused by condensation or continuous high humidity environment. The second type of water immersion risk event is based on the visual recognition ability of image analysis components (such as cameras). It directly judges whether there is a sudden direct water ingress event such as rainfall or human water use around. The third type of water immersion risk event is based on time conditions. When the system time reaches a pre-set specific trigger time (such as the early morning period when condensation is prone to occur), it automatically determines, realizing the automatic response to regular periodic risks. The fourth type of water immersion risk event is the most direct confirmation means. It monitors the internal water level of the device in real time through the liquid level sensor. When the water level reaches the physical threshold, it is determined that water ingress has actually occurred. Through the fusion judgment of the four types of events, the system can realize early, accurate and comprehensive detection of water ingress risk from trend prediction, visual perception, time regularity and physical confirmation, providing reliable decision basis for subsequent initiation of active dehumidification.

[0031] In the embodiments of the present application, the preset condition at least includes: the working current of the dehumidification module decreases to a preset current threshold and maintains for a preset time period.

[0032] Specifically, the preset condition is specifically quantified as a closed-loop judgment criterion based on electrical feedback, that is, the working current of the dehumidification module decreases to a preset current threshold and maintains for a preset time period. The technical principle is that when the dehumidification module is working, its power consumption current value is directly related to the load (i.e. the amount of water to be atomized). When there is a lot of internal water, the atomization load is large, and the working current is maintained at a high level. As water is continuously discharged, the load gradually lightens, and the working current also decreases. The preset current threshold is a key parameter pre-set by experiment, which represents the typical working current of the water discharge device when the water is almost exhausted and close to the empty state. Therefore, the event of decreasing to the preset current threshold is a direct electrical signal for determining that the internal water that can be effectively discharged has been basically removed. In order to avoid misjudgment caused by transient fluctuations or a small amount of residual water, it is further required that this low current state must be stably maintained for a preset time period. The continuous judgment in time dimension ensures the thoroughness of the dehumidification process and the reliability of the judgment result. This preset condition constitutes the core logical basis for the system to automatically and accurately judge that the dehumidification task is completed and trigger the shutdown instruction, realizing seamless and intelligent switching from working state to standby state.

[0033] In the embodiments of the present application, before responding to the water immersion risk event occurring around the intelligent device, the method further comprises: Step A1, obtaining environmental state data related to the intelligent device.

[0034] Specifically, the environment state data related to the smart device is acquired, including performing at least one of the following data acquisition operations: acquiring current time data as first type of environment state data in response to a periodic trigger signal; acquiring weather forecast data from an external server as second type of environment state data; acquiring real-time temperature and humidity data of the internal environment of the smart device and / or the external environment as third type of environment state data; acquiring an external risk perception signal and an external environment image, and fusing and analyzing the external risk perception signal and the external environment image to obtain a fusion analysis result as fourth type of environment state data.

[0035] The periodic trigger signal is automatically generated by a timing unit (for example, a real-time clock RTC or a software timer) inside the smart device based on a preset time rule. The time rule can be pre-configured by the user (for example, through an application of the smart device to set the detection to be performed once at 5 a.m. every day), or can be set by default according to the analysis of device usage habit data. When the internal clock reaches the preset time point, the timing unit generates a periodic trigger signal and sends it to the data processing module of the device. Subsequently, in response to the signal, the current time data is acquired from the clock module. The current time data is usually a time stamp containing year, month, day, hour, minute and second, and its value as the first type of environment state data lies in the time period information. For example, it can be determined whether the current time is in a high-risk period of condensate water (such as the time when the indoor and outdoor temperature difference is the largest in the morning every day) in historical statistics. In addition, the acquisition of the current time data can also be based on adaptive adjustment according to the season and geographical location, for example, different periodic tables are preset: in the humid plum rain season, the trigger signal is set to every 12 hours to increase the detection frequency; and in the dry winter, it is adjusted to every 48 hours to save energy.

[0036] The external server generally refers to a meteorological data service platform or a cloud server of a smart home system deployed on the Internet. The main controller of the smart device initiates a network request according to a preset strategy (for example, a timing trigger or an event-driven trigger), and the request generally contains a unique identifier of the device and its geographic location information. After the server receives the request, it returns the processed weather forecast data to the device, and the weather forecast data is generally transmitted in the form of a structured data packet (such as a JSON format), including but not limited to precipitation probability, expected rainfall, air humidity forecast, temperature trend, and other indicators within a specific period in the future. After receiving the data packet, the device parses the required weather forecast information and classifies it as the second type of environmental state data. In addition, the smart device can also access the smart home ecosystem cloud to which it belongs, and the cloud server can cross-verify and data-fuse anonymous environmental reports (such as reported humidity data) of other devices in the same area to generate weather forecast data for the installation environment of the smart device (such as the shaded surface of a building or the vicinity of a ventilation port), as the second type of environmental state data input.

[0037] The collection operation is completed by the main controller of the smart device or a dedicated sensing chip, which sends a data reading instruction to the connected temperature and humidity sensor according to a preset sampling period (for example, every 5 minutes) or in response to a specific event (such as receiving a rainfall forecast from the server). The sensor can be an integrated digital sensor (such as a model using I2C or single bus communication), which converts the sensed analog signal into a digital signal of real-time temperature and humidity data and sends it to the controller. Among them, the data of the internal environment is obtained by the sensor installed near the main control board of the device or in a specific position of the cavity, which directly reflects the temperature and humidity around the electronic components; the data of the external environment is obtained by the sensor with a dustproof and waterproof breathable film on the device shell, or is synchronized and determined through near-field communication from other environmental sensing nodes nearby, which is used to reflect the environmental conditions of the device. The real-time temperature and humidity data is a data packet containing a timestamp, a temperature value (unit: °C), and a relative humidity value (unit: %). In addition, the device is equipped with two groups of internal and external sensors to collect two real-time temperature and humidity data in parallel. The difference between the two real-time temperature and humidity data (such as the internal and external temperature difference) is used to predict the condensation risk (when the warm and humid air inside meets the cold shell outside), so that the third type of environmental state data contains the risk judgment dimension.

[0038] The intelligent device obtains external risk perception signals through non-vision sensors such as millimeter wave radar, which are electrical signals representing specific changes in the external physical environment, for example, the radar detects dense and continuous vibration or water droplet impact on the surface of the device (such as rain), or detects that an object stays or moves for a long time at a very close distance (such as human washing or destruction). At the same time, the intelligent device triggers the vision acquisition unit (such as the cat eye camera) through the controller to obtain the external environment image, that is, at least one frame of digital image or video stream containing the environment around the device. Then, the trigger event, spatial position and motion characteristics provided by the external risk perception signal are spatio-temporally aligned and logically associated with the visual semantic information (such as identifying whether there are raindrop trajectories, water flow, and human posture holding a water pipe in the image) extracted from the environment image through the built-in AI vision algorithm (such as deep learning-based image classification or target detection model). In addition, the camera can only be awakened to take pictures and AI analysis when the radar and other primary sensors detect suspicious signals, and the fusion verification is completed. The judgment conclusion is used as the fourth type of environment state data to represent the external event that is occurring or has just occurred and may cause water immersion. For example, if the radar signal indicates that there are small objects continuously impacting, and the image analysis result confirms that there are raindrop features in the picture, then the fusion analysis determines that it is a rain event; if the radar perceives a large area of water flow covering, and the image recognizes a human-shaped object and a jet of water, then it is determined to be a human washing.

[0039] By collecting time data in response to the periodic trigger signal, automatic timing monitoring of regular water immersion risk events is achieved. By obtaining weather forecast data from an external server, the device is provided with the ability to foresee future bad weather, enabling proactive prevention. By collecting real-time temperature and humidity data, a direct physical basis for determining condensation water generation conditions is provided, improving the immediacy and accuracy of risk discrimination. By fusing external perception signals and images, high-confidence identification and verification of sudden and direct water entry events are achieved.

[0040] Step A2, analyze whether the environment state data meets the preset risk condition to obtain an analysis result; Specifically, the preset risk condition is a set of configurable parameters and rules, which defines the threshold or pattern of risk for different types of data. For example, for the first type of data (current time), the risk condition can be "whether the time is in the preset high-risk period (such as 04:00-08:00)"; for the second type of data (weather forecast), the risk condition can be "whether the probability of rainfall in the next 6 hours is greater than 60%" or "whether the air humidity forecast is continuously higher than 85%"; for the third type of data (real-time temperature and humidity), the risk condition can be "whether the internal humidity is greater than 75% and the internal and external temperature difference is greater than 10°C" (for predicting condensation); for the fourth type of data (fusion analysis result), the risk condition can be "whether a direct water entry event such as rain or human washing is identified". The analysis process will traverse all available data and their corresponding conditions to perform logical judgment. The final output is the analysis result, which can be a data object or a state flag, such as a Boolean value (True / False) indicating whether there is a risk in general, or a comprehensive report containing the status of each sub-risk (such as high condensation risk, water entry event occurrence) and confidence. Different weights and scores can also be set for different data sources to calculate a risk score, and only when the score exceeds the total threshold, the analysis result is determined to be at risk.

[0041] Step A3, determining whether there is a water immersion risk event in the environment around the intelligent device based on the analysis result.

[0042] Specifically, if independent conditions are used and the output is a Boolean analysis result (True indicates that at least one risk condition is met), the determination rule is a direct mapping: when the analysis result is True, it is determined that there is a water immersion risk event; when the analysis result is False, it is determined that there is no risk. If a weighted comprehensive scoring model is used and the output is a risk score, the score is compared with the preset risk threshold: if the score exceeds the threshold, it is determined that there is a risk, otherwise it is determined that there is no risk, and a deterministic conclusion or state flag (such as a water immersion risk event flag bit of 1 or a water removal demand signal) is output to control the process flow. The determination rule can also include: for low-risk levels triggered by predictive data (such as weather forecast, time), a delay or requirement that the risk condition be continuously met for a certain time before determining the risk; for high-risk levels triggered by direct event data (such as a rain event confirmed by the fourth type of data), the risk is directly determined to exist.

[0043] By acquiring the environmental state data, multi-element information related to the water immersion risk event is collected, providing a data basis for analysis and avoiding misjudgment or missed judgment caused by a single information source. By analyzing whether the data meets the preset risk condition, intelligent conversion from raw data to risk probability is realized, improving the accuracy and consistency of risk identification. By determining the risk based on the analysis result as the decision endpoint, the quantitative or qualitative analysis conclusion of the previous step is converted into executable control instructions, ensuring that the triggering of the subsequent water removal action has a high degree of rationality, and completing the closed loop from perception to decision.

[0044] In the embodiments of the present application, the dehumidification module installed in the surrounding environment is started, including: Step B1, acquiring the module control parameters pre-configured by the intelligent device.

[0045] Specifically, after the main controller of the intelligent device determines to start the dehumidification module, it reads the key values and configuration items for controlling the running characteristics of the dehumidification module from its internal non-volatile storage medium (such as EEPROM or Flash memory) which have been fixed in the device production and installation or user setting stage. The source of the module control parameters can be: default parameters burned according to the hardware specifications of the dehumidification module used (such as the resonant frequency of the drainage device); user-defined parameters saved after personalized adjustment during installation and debugging of the intelligent device; adaptive parameters updated after self-learning optimization of the intelligent device in long-term operation. The module control parameters specifically define the electrical characteristics of driving the drainage device to work, at least including: driving signal parameters (for example, the frequency, duty cycle, voltage amplitude of the PWM pulse width modulation signal, which directly affect the vibration efficiency and atomization amount of the drainage device) and control parameters (for example, the preset current value for judging whether the water removal is completed, such as 130mA; and the maximum continuous working time or intermittent period, etc. safety operation limit).

[0046] Step B2, generating corresponding driving signals based on the module control parameters, and loading the driving signals to the drainage device in the dehumidification module to drive the drainage device into working state.

[0047] Specifically, the control circuit board of the intelligent device first uses the internal microcontroller timer module or the special PWM generation circuit to synthesize a specific waveform driving signal (digital pulse width modulation electrical signal) based on the module control parameters. Then, the driving signal is current-enhanced through the on-board power amplification circuit, and the amplified driving voltage is applied to the two electrodes of the piezoelectric ceramic ring inside the drainage device through physical wires or flexible circuits. Under the action of the additional high-frequency alternating electric field, the piezoelectric ceramic ring generates periodic micro-deformation and high-frequency resonance based on the inverse piezoelectric effect. The mechanical resonance directly drives the metal sheet closely coupled with the ceramic ring to vibrate at the same frequency, thereby making the drainage device change from a static state to an effective vibration working state, and completing the driving start. In addition, the control circuit board can also use a lower voltage or duty cycle during initial loading, and then gradually increase to the target parameters indicated by the module control parameters, so as to reduce the electrical impact on the drainage device; or in subsequent operation, the duty cycle of the driving signal is dynamically adjusted according to the feedback current change trend, so as to maintain effective atomization or optimize energy consumption when the water volume decreases.

[0048] By obtaining the pre-configured module control parameters, an adaptable control reference is provided for the start of the dehumidification module, ensuring the consistency of driving control in different scenarios. By generating and loading the driving signal based on the parameters, the control instruction is converted into a physical excitation that drives the core component of the drainage device into an efficient resonance state, which is a key execution step to activate the water removal function.

[0049] In the embodiments of the present application, as shown in Figure 2 the method further includes: Step S201, after starting the dehumidification module, collecting the working current of the dehumidification module in a preset time period, wherein the working current is used to represent the dehumidification load of the dehumidification module.

[0050] By integrating the current detection unit (such as a sampling resistor and an analog-to-digital converter ADC) in the control circuit, the working current flowing through the dehumidification module in the continuous preset time period is continuously collected at a preset sampling frequency. The physical principle why the working current can accurately represent the dehumidification load is that the mechanical work done by the core drainage device of the dehumidification module when converting water into water mist is positively correlated with its load (i.e. the amount of water to be processed). When there is more water in the device, the atomization load is heavy, the required energy is large, and the working current is maintained at a high level (such as 240mA); as the water is continuously atomized and discharged, the load is reduced, and the working current also decreases (such as 110mA). Therefore, continuous monitoring of electrical parameters provides key real-time sensing data for the system to indirectly and quantitatively evaluate the internal water accumulation condition and the dehumidification process, which constitutes the decision basis for subsequent intelligent judgment of whether the dehumidification is completed and dynamic adjustment of the working state.

[0051] Step S202, comparing the working current with the preset current threshold to obtain a comparison result.

[0052] In the embodiment of the present application, the control circuit or the main controller of the intelligent device compares the working current data sequence reflecting the dehumidification load of the dehumidification module, which is collected in real time within a preset time period, with the preset current threshold which is a key reference value set according to the typical working current of the dehumidification module when the moisture is basically exhausted (close to no load). The comparison process is not a simple instantaneous judgment, but an analysis of whether the working current is continuously higher than, intermittently higher than or always lower than the threshold within a continuous preset time window, so as to obtain the comparison result. For example, the result is that the working current is continuously greater than 130 mA in the last 10 seconds, or the working current has decreased and stabilized below the threshold. The comparison step converts the continuous analog current signal into discrete logical judgments with clear semantics (such as the load is still heavy or the load is light), thereby providing a direct and quantitative decision basis for subsequent dynamic adjustment of the working state of the dehumidification module (whether to continue full-power operation, parameter optimization or preparation for shutdown), and is a key judgment link in the entire intelligent control closed loop based on current feedback.

[0053] Step S203, dynamically adjusting the working state of the dehumidification module according to the comparison result.

[0054] In the embodiment of the present application, if the comparison result shows that the working current is continuously greater than the preset current threshold within the preset time period, it is determined that there is still a lot of internal water and the dehumidification load is heavy, so the dehumidification module is controlled to remain in the started state to continuously drain water with maximum efficiency. If the working current is not continuously greater than the threshold, it indicates that the load has changed (such as water reduction or atomization efficiency fluctuation). At this time, the trend of the working current within the preset time period (such as continuous decrease or low fluctuation) is analyzed, and the parameters of the driving signal (such as PWM duty cycle) output to the dehumidification module are dynamically adjusted according to the trend, so as to actively adjust the dehumidification rate, aiming to optimize the atomization efficiency under the current working condition and track the remaining moisture. The adjustment is a continuous process until the system monitors that the working current decreases and continuously stabilizes below the preset current threshold, and maintains for a preset time period. The state indicates that the internal drainable water has been basically removed, and the dehumidification task is completed. At this time, the shutdown instruction is automatically triggered, and the dehumidification module stops working. Through the dynamic adjustment mechanism, a complete intelligent control closed loop from continuous and efficient dehumidification to adaptive optimization and then to automatic shutdown of the task is realized, ensuring the thoroughness of dehumidification, the optimization of energy efficiency and the long-term reliability of the equipment.

[0055] In the embodiment of the present application, the working state of the dehumidification module is dynamically adjusted according to the comparison result, including: Step A1, if the comparison result is that the working current is continuously greater than the preset current threshold within the preset time period, the dehumidification module is controlled to remain started.

[0056] Specifically, when the comparison result indicates that the working current of the dehumidification module has been greater than the preset current threshold for a preset time period, this state is interpreted as that there is still a large amount of water in the device, and the dehumidification load is still heavy. According to this judgment, a control instruction to keep starting is generated and executed, so that the dehumidification module continues to operate in the current working mode. This ensures that the dehumidification action will not be interrupted before the water is fully discharged, thereby guaranteeing the thoroughness and effectiveness of the dehumidification process, and is the basic control strategy to achieve active and continuous dehumidification.

[0057] Step A2, if the comparison result is that the working current has not been greater than the preset current threshold for a preset time period, the dehumidification rate of the dehumidification module is adjusted according to the current change trend of the working current in the preset time period until the working current of the dehumidification module is less than the preset current threshold and maintained for a preset time period, and the dehumidification module is turned off.

[0058] Specifically, when the comparison result indicates that the working current has not been greater than the preset current threshold for a preset time period, it is judged that the current dehumidification load has changed, and enters the intelligent adjustment stage based on trend analysis. First, the change trend and rate of the working current in the preset time period are analyzed: if the current decreases slowly, it indicates that there is still a large amount of water inside, and the current processing rate of the drainage device may not be sufficient to quickly discharge the water, at this time the drainage capacity is actively enhanced, for example, by increasing the duty cycle of the driving signal or adjusting the vibration frequency to increase the drainage rate and speed up water removal; if the current is in a low fluctuation or rapidly decreases, it indicates that the water is less, and the power is appropriately reduced to optimize the energy efficiency. The core purpose of the adjustment process is to dynamically match the drainage rate with the actual water accumulation condition, to ensure efficient dehumidification at different stages. The closed-loop control of continuously monitoring the current, analyzing the trend, and adjusting the parameters is continuously executed until the working current is monitored to decrease and stably below the preset current threshold, and this state is maintained for a preset time period. This final state is determined as a reliable sign that the internal moisture has been basically removed and the dehumidification task is completed. At this time, a shutdown instruction is automatically generated to stop the dehumidification module, thereby realizing precise and self-adaptive dehumidification control.

[0059] By keeping the working state when the working current is greater than the preset current threshold, the continuity and thoroughness of the water removal action when the water is sufficient are ensured. By analyzing the trend and adjusting the dehumidification rate when the working current is not greater than the preset current threshold, the self-adaptive optimization of the atomization efficiency when the water is reduced or the working condition changes is realized, aiming to maintain effective work. Through the closed-loop target that the working current is greater than the preset current threshold again after adjustment, the control strategy that the system actively seeks the optimal working point to maximize the water removal efficiency is embodied.

[0060] In the embodiments of the present application, water in the internal environment of the intelligent device is discharged by using the dehumidification module, comprising: Step C1, the water in the water accumulation area is absorbed by the auxiliary water absorption material in the dehumidification module, and is transported to the water absorption surface of the drainage device which is in contact with the auxiliary water absorption material.

[0061] Specifically, when the dehumidification module is started, the auxiliary water absorption material (a physical water absorption medium with porous or fibrous structure, such as porous carbon material or water absorption cotton stick) inside it begins to work. The material is pre-arranged in the water accumulation area of the internal cavity of the smart device (i.e. the position where water eventually collects due to gravity, such as the bottom of the lock). The auxiliary water absorption material actively and continuously absorbs and absorbs the water accumulated in the water accumulation area through the capillary action (a physical phenomenon that causes liquid to spontaneously rise in a narrow space) between its own pores or fibers. At the same time, one end of the auxiliary water absorption material is designed to maintain stable physical contact with the water absorption surface of the drainage device (the side of the drainage device facing the inside of the device and in contact with the auxiliary water absorption material). The water absorbed by the contact is automatically transported to the water absorption surface of the drainage device along the continuous water path inside the auxiliary water absorption material under the action of capillary action, providing a water source for the drainage device to be atomized. This process realizes the collection and directional conduction of dispersed or accumulated water to the core atomization component, preparing for the next step of atomization conversion. The shape and laying path of the auxiliary water absorption material can be optimized according to the cavity structure, for example, it can be extended from the bottom water accumulation area to increase the contact area and ensure effective water conduction in different postures.

[0062] Step C2, the water on the water absorption surface of the drainage device is converted into water mist by the vibration operation of the drainage device after the driving signal is loaded.

[0063] Specifically, when the driving signal is continuously applied to the piezoelectric ceramic ring of the drainage device, the ceramic ring continuously generates high-frequency resonance due to the inverse piezoelectric effect, and the resonance drives the metal sheet combined with it to perform mechanical vibration operation at the same frequency. At this time, the water that has been transported and covered on the water absorption surface of the drainage device is impacted and sheared by the high-frequency vibration on the surface of the metal sheet in direct contact. The principle is that the vibration energy acts on the water film, overcomes its surface tension, and cooperates with the micro-porous structure (thousands of micron-sized holes located in the central area) on the metal sheet to pump water out of the micro-holes at high speed and break it into water mist with extremely small diameter (such as 4-6 microns), thereby completing the physical conversion from water to aerosol state. The process is essentially to disperse and atomize water using mechanical vibration energy. The strength of the vibration operation (such as amplitude, frequency stability) can be adjusted according to the detected water amount (indirectly reflected by the subsequent power consumption current) or environmental temperature, to maintain the optimal atomization effect under different conditions.

[0064] Step C3, the water mist is discharged from the smart device through the micro-porous structure on the metal sheet in the dehumidification module.

[0065] Specifically, when the water is converted into water mist (i.e. a large number of micron-sized water droplets suspended in the air) on the water absorption surface of the drainage device, the water mist is driven by the micro air flow and pressure generated by the continuous high-frequency resonance of the metal sheet of the drainage device, and is sprayed out through the existing micro-hole structure (i.e. the densely distributed and extremely small diameter through holes in the central area of the metal sheet) on the metal sheet. Since the installation of the drainage device on the shell of the intelligent device is to direct the water mist outlet of the drainage device to the outside environment, the spraying direction of the water mist sprayed from the micro-holes is naturally guided and passes through the corresponding opening or air-permeable structure on the device shell, thereby being effectively discharged to the outside of the intelligent device. This process utilizes the one-way flow guiding characteristics of the micro-hole structure, combined with the directional micro-pressure difference generated by vibration, to ensure efficient outward diffusion of the water mist. The characteristics of the micro-hole structure itself (such as the hydrophobic coating of the hole wall and the specific inclination design of the micro-holes) can be optimized to enhance the smoothness of water mist spraying and more effectively prevent external water from entering the device interior in the opposite direction through the same micro-holes, thereby maintaining the protective ability of the device shell while discharging the water mist.

[0066] By adsorbing and transporting water with the aid of the auxiliary water absorption material, the device internal water is actively collected and guided to the atomization interface, solving the problem of water dispersion that is not easy to handle. By converting water into water mist through the vibration operation of the drainage device, efficient physical phase change and transportation of water are realized. By discharging the water mist through the micro-hole structure of the metal sheet, the water after vaporization is permanently removed from the outside of the device, fundamentally eliminating the retention of internal water.

[0067] In the embodiments of the present application, the water in the internal environment of the intelligent device is discharged by the dehumidification module, which further comprises: starting the refrigerator in the dehumidification module to refrigerate the internal environment of the intelligent device, and transporting the condensate water generated by refrigeration to the water accumulation area through the drainage plate; adsorbing the water in the water accumulation area by the auxiliary water absorption material in the dehumidification module, and transporting the water to the water absorption surface of the drainage device which is in contact with the auxiliary water absorption material; converting the water on the water absorption surface of the drainage device into water mist by performing vibration operation on the drainage device after loading the driving signal; and discharging the water mist from the intelligent device through the micro-hole structure on the metal sheet in the dehumidification module.

[0068] Specifically, after the dehumidification module is started, if the detected water immersion risk event is a high humidity environment and the temperature has not reached the condensation point (for example, the ambient humidity is extremely high but the temperature difference is insufficient), or active acceleration of dehumidification is required, the integrated refrigeration device (such as a semiconductor refrigeration plate) in the dehumidification module can be started cooperatively or independently. The refrigeration device is installed on a drainage plate that is inclined relative to the bottom plate of the smart device. When the refrigeration device is working, its cold surface cools the humid air inside the smart device, causing the water vapor in the air to condense into water on the cold surface of the drainage plate. Since the drainage plate is inclined and its bottom is closely attached to the water accumulation area, the water droplets formed by condensation slide down the inclined surface of the drainage plate under the action of gravity, are effectively collected and guided to the water accumulation area, thereby actively and efficiently increasing the water supply to the water accumulation area. This process actively captures and converts gaseous water in the device's internal environment into liquid, providing a supplemental water source for subsequent adsorption and atomization, and is particularly suitable for preventive dehumidification or enhancing dehumidification capacity in high-humidity environments without direct water input.

[0069] By starting the refrigeration device and using the drainage plate to collect condensed water, active condensation and capture of gaseous water in the environment are achieved, expanding the dehumidification module's processing capacity and application scenarios in high-humidity environments. By directing the condensed water produced by refrigeration to the water accumulation area and combining it with the original water collection, the atomization water source is improved, enhancing the initiative and efficiency of overall dehumidification.

[0070] In this embodiment, a dehumidification module is provided, Figure 3 is a structural diagram of the dehumidification module according to an embodiment of the present application, as Figure 3 shown, the dehumidification module includes a drainage device 100, an auxiliary water absorption material 200, and a control circuit board 300. One end of the auxiliary water absorption material 200 is attached to the water absorption surface of the drainage device 100, and the other end is attached to the water accumulation area of the internal environment of the smart device; the control circuit board 300 is connected to the drainage device 100 and the smart device, respectively, for adjusting the dehumidification rate of the dehumidification module after the dehumidification module is started.

[0071] It should be noted that the drainage device 100 can be a variety of execution devices implemented based on different principles, including but not limited to piezoelectric spray devices, micro-pump devices (such as diaphragm pumps), etc. The specific installation position can be flexibly arranged according to the space structure inside the intelligent device, and there is no strict limitation, aiming to realize the effective discharge of the accumulated liquid in the water accumulation area. In addition, its control is based on the feedback mechanism of working current to realize intelligentization: in the no-load (i.e. no liquid treatment) state, the working current of the drainage device 100 is maintained at a low baseline value, for example, about 80mA; when the auxiliary water absorption material 200 absorbs water to form a load, or the pump device directly processes the accumulated water, the working current will be significantly increased, for example, up to 300mA. As the dehumidification process proceeds, the moisture gradually decreases, and the working current will decrease accordingly. The system will preset a shutdown threshold slightly higher than the no-load current, for example, 90mA. When it is detected that the working current decreases and remains stable below the threshold, it indicates that the moisture that can be discharged has been basically removed, and the system will automatically turn off the dehumidification module, thereby realizing efficient and adaptive dehumidification control.

[0072] In the embodiments of the present application, the layout of the dehumidification module inside the intelligent device is as shown in Figure 4 The control circuit board 300 is disposed inside the intelligent device and is electrically connected with the drainage device 100 through wires; one side of the drainage device 100 is attached to the auxiliary water absorption material 200, and the other end of the auxiliary water absorption material 200 extends to the water accumulation area inside the intelligent device, which can absorb the water accumulated in the water accumulation area. These components together constitute a dehumidification module for removing water inside the device.

[0073] The structure of the drainage device 100 is composed of a piezoelectric ceramic ring in the outer ring layer, a metal sheet in the middle layer, and a microporous structure in the center area of the metal sheet, and the lower lead-out wire is used to realize the electrical connection between the drainage device 100 and the control circuit board 300. The microporous structure on the metal sheet in the drainage device 100 is shown in the schematic view, and the micropores are densely arranged in the center position of the metal sheet. The micropores are the discharge channels of the water mist formed after the water is broken by the vibration of the atomizing sheet. The drainage device 100 is directly integrated or packaged inside the shell of the intelligent device as a transducer and execution element. It is a composite structure composed of a piezoelectric ceramic ring and a metal sheet with a microporous structure bonded by an adhesive. The piezoelectric ceramic ring is a special ceramic sheet with polarity, which can convert electrical energy into mechanical energy; the metal sheet is made of corrosion-resistant materials such as stainless steel, and the center area is pre-fabricated with thousands of micrometer-sized through holes (microporous structure) by laser drilling and other technologies.

[0074] The auxiliary water absorption material 200 is a physical medium with strong capillary action (such as a porous fiber rod or a sintered material), and its hardware form is designed to be in stable surface contact or line contact with the back of the metal sheet of the drainage device 100 (i.e., the water absorption surface) at one end, and to extend and be fixed to the lowest point or water accumulation area in the equipment shell at the other end, forming a through liquid transmission path.

[0075] The control circuit board 300 is a small printed circuit board (PCB) that integrates signal generation, power amplification, and communication interface, and is connected to the electrode pins of the drainage device 100 and the general-purpose input / output (GPIO) or communication bus (such as I2C) of the main control component (such as the main MCU) of the intelligent equipment through connectors or soldering, forming a complete electrical control loop.

[0076] The core functions of each hardware component are as follows: after receiving a start command, the drive circuit on the control circuit board 300 generates a high-frequency oscillation signal, which is amplified by power amplification and applied to the two poles of the piezoelectric ceramic ring of the drainage device 100 through the wire. The piezoelectric ceramic ring undergoes periodic deformation (vibration) under the action of the electric field and directly drives the metal sheet bonded thereto to resonate at the same frequency. At the same time, the water in the device accumulates in the water accumulation area under the action of gravity and is actively absorbed by the auxiliary water absorption material 200 through capillary action and transported to the water absorption surface of the drainage device 100 along the internal pores. When the water contacts the surface of the high-speed vibrating metal sheet, it is broken and ejected from the micro-porous structure to form a water mist, which is finally discharged from the device. The dehumidification module is an independent hardware module that implements the physical process from electrical energy input, liquid collection to water mist generation and discharge.

[0077] In another embodiment, as shown in Figure 5 The drainage device inside the intelligent equipment can also be installed below the water accumulation area and connected to the control circuit board to form a more compact dehumidification structure layout. In this layout, the drainage device (such as a micro-atomizing sheet or a micro-pump or an electromagnetic valve) is directly embedded or installed at the bottom or below the side of the water accumulation area, and its water inlet is directly connected to the water accumulation area. The water accumulated inside the device does not need to be transported through a long distance of water absorption material, but directly enters the processing cavity of the drainage device by gravity or capillary assistance. The control circuit board is still electrically connected to the drainage device through wires, responsible for driving its operation and monitoring the operating status. The sinking installation method is particularly suitable for devices with limited internal space height or fixed water accumulation area position, which can shorten the water path, improve the response speed, and reduce the maintenance requirements due to performance degradation or blockage of the water absorption material. At the same time, this layout still retains the ability to realize closed-loop control through current feedback, ensuring that the dehumidification process automatically stops after the water is completely discharged.

[0078] In the embodiments of the present application, as shown in Figure 6As shown, the dehumidification module further comprises a drainage plate 400 and a refrigeration device 500; the drainage plate 400 is arranged inside the smart device, is arranged obliquely relative to the bottom plate of the smart device and is attached to the water accumulation area at the bottom; and the refrigeration device 500 is installed on the drainage plate 400. The refrigeration device 500 is configured to cool the internal environment of the smart device. The drainage plate 400 is configured to transport water generated on the drainage plate to the water accumulation area during the refrigeration process of the refrigeration device.

[0079] It should be noted that the drainage plate 400 is preferably made of a material with high thermal conductivity (such as stainless steel, aluminum alloy or copper), which has better thermal conductivity than the material of the shell of the smart device. The cold energy generated by the refrigeration device 500 can be efficiently and uniformly conducted to the surface of the drainage plate 400, thereby significantly increasing the condensation interface and accelerating the condensation of water vapor in the air on the surface. The water droplets formed by condensation can quickly converge and slide down the inclined surface of the drainage plate 400 under the action of gravity and the inclined surface itself, and finally be accurately introduced into the water accumulation area. The refrigeration device 500 is preferably a semiconductor refrigeration sheet (TEC), which has the advantages of compact structure, no moving parts, accurate temperature control and easy integration, and is suitable for use in environments with limited internal space of the smart device. This collaborative design not only enables the system to handle the water that has been immersed, but also actively dehumidifies the high-humidity air: by refrigeration and condensation, the gaseous water is converted into liquid and collected, thereby expanding the environmental adaptability and dehumidification capacity of the dehumidification module. In actual control, the start-stop and power of the refrigeration device 500 can be intelligently adjusted based on the data of the environmental humidity sensor or the preset program, to optimize the energy efficiency and dehumidification effect.

[0080] In this embodiment, a smart device dehumidification device is also provided, which is used to implement the above-mentioned embodiments and preferred embodiments, and will not be described again. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware or a combination of software and hardware is also possible and contemplated.

[0081] The present embodiment provides a smart device dehumidification device, as shown in Figure 7 comprises: A first response module 71 is configured to respond to a water immersion risk event occurring in the surrounding environment of the smart device. A start module 72 is configured to start a dehumidification module installed in the surrounding environment and to use the dehumidification module to drain water in the internal environment of the smart device. A second response module 73 is configured to close the dehumidification module in response to the working current of the dehumidification module meeting a preset condition.

[0082] In the embodiment of the present application, the device further comprises an adjusting module, configured to collect working current of the dehumidification module in a preset time period after the dehumidification module is started, wherein the working current is used to represent the dehumidification load of the dehumidification module; compare the working current with a preset current threshold to obtain a comparison result; and dynamically adjust the working state of the dehumidification module according to the comparison result.

[0083] In the embodiment of the present application, the adjusting module is specifically configured to, if the comparison result is that the working current continuously exceeds the preset current threshold in the preset time period, control the dehumidification module to keep starting; or, if the comparison result is that the working current does not continuously exceed the preset current threshold in the preset time period, adjust the dehumidification rate of the dehumidification module according to the current change trend of the working current in the preset time period until the working current of the dehumidification module continuously becomes less than the preset current threshold and maintains the preset time period, and then the dehumidification module is turned off.

[0084] Please refer to Figure 8 , Figure 8 is a structural schematic diagram of a computer device provided by an optional embodiment of the present application, as shown in Figure 8 the computer device comprises one or more processors 10, a memory 20, and an interface for connecting various components, including a high-speed interface and a low-speed interface. Various components are communicatively connected to each other by using different buses, and can be installed on a common mainboard or in other ways as needed. The processor can process instructions executed in the computer device, including instructions stored in the memory or graphics information of the memory to display a GUI on an external input / output device (such as a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides part of the necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system).

[0085] The processor 10 can be a central processor, a network processor, or a combination thereof. The processor 10 can further include a hardware chip. The hardware chip can be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device can be a complex programmable logic device, a field programmable logic gate array, a general array logic, or any combination thereof.

[0086] The memory 20 stores instructions executable by the at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiments.

[0087] The memory 20 can include a program storage area and a data storage area. The program storage area can store an operating system and applications required by at least one function. The data storage area can store data created by the computer device according to the presentation of a small program landing page, and the like. In addition, the memory 20 can include a high-speed random access memory, and can also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state memory device. In some optional embodiments, the memory 20 can optionally include a memory disposed remotely relative to the processor 10, and these remote memories can be connected to the computer device through a network. Examples of the network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0088] The memory 20 can include a volatile memory, such as a random access memory, and can also include a non-volatile memory, such as a flash memory, a hard disk, or a solid-state disk. The memory 20 can also include a combination of the above-mentioned kinds of memories.

[0089] The computer device further includes a communication interface 30 for the computer device to communicate with other devices or a communication network.

[0090] The embodiments of the present application also provide a computer readable storage medium. The above-mentioned method according to the embodiments of the present application can be implemented in hardware, firmware, or recorded in a storage medium, or stored in a remote storage medium or a non-transitory machine readable storage medium and downloaded to a local storage medium through network downloading, so that the method described herein can be processed by such software on a storage medium using a general-purpose computer, a special-purpose processor, or programmable or special-purpose hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid-state disk, and the like. Further, the storage medium can also include a combination of the above-mentioned kinds of memories. It can be understood that the computer, the processor, the microprocessor controller, or the programmable hardware includes a storage component that can store or receive software or computer code, and when the software or computer code is accessed and executed by the computer, the processor, or the hardware, the method shown in the above embodiments is implemented.

[0091] Although the embodiments of the present application are described in conjunction with the accompanying drawings, various modifications and changes can be made by those skilled in the art without departing from the spirit and scope of the present application, and such modifications and changes fall within the scope defined by the appended claims.

Claims

1. An intelligent device dehumidification method, characterized in that, The method comprises: in response to a water immersion risk event occurring in the surrounding environment of the intelligent device; starting a dehumidification module installed in the surrounding environment, and draining water in the internal environment of the intelligent device by using the dehumidification module; in response to the working current of the dehumidification module meeting a preset condition, shutting down the dehumidification module.

2. The method of claim 1, wherein, The water immersion risk event at least comprises: a first type of water immersion risk event, a second type of water immersion risk event, a third type of water immersion risk event, and a fourth type of water immersion risk event; The first type of water immersion risk event is that: the internal and external environment temperature difference of the intelligent device in a current time period reaches a temperature difference threshold value, and / or the environmental humidity value of the intelligent device in a current time period reaches a humidity threshold value, and / or the internal and external environment temperature prediction difference of the intelligent device in a future time period reaches the temperature difference threshold value, and / or the environmental humidity prediction value of the intelligent device in a future time period reaches the humidity threshold value; The second type of water immersion risk event is that: a rainfall event or a water use event occurring in the surrounding environment of the intelligent device is identified by an image analysis component; The third type of water immersion risk event is that: the current time of the intelligent device reaches a preconfigured trigger time; The fourth type of water immersion risk event is that: the water level of the environment of the intelligent device reaches a water level threshold value detected by a water level sensor in the intelligent device.

3. The method of claim 1, wherein, The preset condition at least comprises: the working current of the dehumidification module drops to a preset current threshold value and maintains for a preset time period.

4. The method of claim 1, wherein, The method further comprises: After starting the dehumidification module, collecting the working current of the dehumidification module in a preset time period, wherein the working current is used to represent the dehumidification load of the dehumidification module; Comparing the working current with a preset current threshold value to obtain a comparison result; According to the comparison result, dynamically adjusting the working state of the dehumidification module.

5. The method of claim 4, wherein, According to the comparison result, dynamically adjusting the working state of the dehumidification module, comprising: If the comparison result is that the working current continuously exceeds the preset current threshold value in the preset time period, the dehumidification module is controlled to remain started; Or, if the comparison result is that the working current does not continuously exceed the preset current threshold value in the preset time period, the dehumidification rate of the dehumidification module is adjusted according to the current change trend of the working current in the preset time period, until the working current of the dehumidification module continuously drops below the preset current threshold value and maintains for a preset time period, and the dehumidification module is shut down.

6. A dehumidification module, characterized in that, The dehumidification module comprises: a drainage device, an auxiliary water absorption material, and a control circuit board; one end of the auxiliary water absorption material is attached to the water absorption surface of the drainage device, and the other end is attached to the water accumulation area of the internal environment of the intelligent device; the control circuit board is connected with the drainage device and the intelligent device respectively, and is used to adjust the dehumidification rate of the dehumidification module after the dehumidification module is started.

7. The dehumidification module of claim 6, wherein, The dehumidification module further comprises: a drainage plate and a refrigeration device; the drainage plate is arranged in the internal environment of the intelligent device, is arranged inclined to the bottom plate of the intelligent device, and is attached to the water accumulation area at the bottom; the refrigeration device is installed on the drainage plate. The refrigerator is used for refrigerating the internal environment of the smart device; The drainage plate is used for transporting water generated on the drainage plate to the water accumulation area during refrigeration of the refrigerator.

8. An intelligent device dehumidifying apparatus, characterized by, The device comprises: A first response module is configured to respond to a water immersion risk event of a surrounding environment of a smart device; A starting module is configured to start a dehumidification module installed in the surrounding environment, and to use the dehumidification module to drain water in an internal environment of the smart device; A second response module is configured to close the dehumidification module in response to a working current of the dehumidification module satisfying a preset condition.

9. A computer device, comprising: Comprise: A memory and a processor are in communication connection with each other, and the memory stores computer instructions; the processor executes the computer instructions to perform the method in any one of claims 1 to 5.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer instructions for causing a computer to execute the method in any one of claims 1 to 5.

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