A moisture-proof self-protection system and control method for an electronic keyboard with environmental self-sensing and micro-pressure regulation functions.

Abstract

This invention relates to the field of keyboard protection technology, and discloses an electronic keyboard moisture-proof self-protection system and its control method with environmental self-sensing and micro-pressure regulation functions. The system includes a data coupling module, a risk judgment module, an internal and external coordination module, a fixed-point dehumidification module, an expected completion module, and a subsequent optimization module. It integrates internal temperature and humidity data and external air pressure data, splices features to obtain a multi-dimensional trend vector, calculates the dew point approach rate, and judges it as a high risk of condensation if it is lower than a threshold; dynamically adjusts the flow area of ​​internal and external channels to construct a micro-positive pressure gradient field, and locates high humidity points for local heating; combines thermal response and humidity decay rate to optimize the positive pressure field intensity; and completes moisture control when the high risk is eliminated and humidity returns to a safe benchmark. Based on the two types of rates, the threshold and dew point approach rate are corrected to update the subsequent risk judgment criteria. This invention can improve the efficiency of moisture-proof self-protection of an electronic keyboard with environmental self-sensing and micro-pressure regulation functions.

Description

Technical Field

[0001] This invention relates to the field of keyboard protection technology, and in particular to an electronic keyboard moisture-proof self-protection system and its control method that has environmental self-sensing and micro-pressure regulation functions. Background Technology

[0002] Currently, existing moisture-proof solutions for electronic keyboards lack intelligent collaborative control capabilities, suffer from inaccurate sensing, delayed response, inefficient dehumidification, and lack of self-optimization. Therefore, they are unable to achieve efficient, accurate, and adaptive moisture-proof self-protection and cannot guarantee the long-term stable operation of the equipment.

[0003] For example, in high humidity or sudden changes in air pressure, existing technologies are unable to quickly identify the approaching dew point trend and fail to establish a micro-positive pressure barrier in time, which can easily lead to condensation inside the keyboard, causing key failures, short circuits, and other malfunctions.

[0004] Existing technologies have significant drawbacks: they have a single sensing dimension, do not couple internal temperature and humidity distribution with external air pressure data, and cannot accurately determine the risk of condensation; the control mechanism is rigid, with fixed openings of internal and external ventilation channels, and cannot dynamically build a micro-positive pressure field, making it difficult to block the intrusion of humid air; the dehumidification method is crude, with high overall heating energy consumption, no fixed-point dehumidification capability, and no parameter self-optimization closed loop, resulting in a continuous decline in judgment accuracy over long-term use. Summary of the Invention

[0005] To address the aforementioned technical shortcomings, the purpose of this invention is to provide an electronic keyboard moisture-proof self-protection system and its control method with environmental self-sensing and micro-pressure regulation functions, in order to solve the problems mentioned in the background art.

[0006] To address the aforementioned technical problems, this invention provides an electronic keyboard moisture-proof self-protection system with environmental self-sensing and micro-pressure regulation functions. The system includes a data coupling module, a risk assessment module, an internal and external coordination module, a fixed-point dehumidification module, an expected completion module, and a subsequent optimization module, wherein: The data coupling module is used to perform feature splicing on the internal temperature distribution data, internal humidity distribution data and external air pressure data of the keyboard to obtain the multidimensional trend vector of the keyboard. The risk determination module is used to calculate the dew point approach rate of the keyboard based on the multidimensional trend vector. When the dew point approach rate is lower than a preset safety threshold, the keyboard is determined to be in a high-risk condensation condition. The internal and external coordination module is used to respond to the high-risk condensation condition and dynamically adjust the cross-sectional area of ​​the internal and external connecting channels in the keyboard to construct a coordinated micro-positive pressure gradient field of the keyboard. The fixed-point dehumidification module is used to locate high humidity coordinate points in the internal humidity distribution data in the cooperative micro-positive pressure gradient field, so as to locally heat the high humidity coordinate points. The expected completion module is used to adjust the intensity of the cooperative micro-positive pressure gradient field based on the comparison result between the thermal response rate and the humidity decay rate in the heated area. When it is determined that the keyboard has escaped the high-risk condensation condition and the current humidity value of the high humidity coordinate point has recovered to below the preset safety baseline, the expected moisture-proof target of the keyboard is determined. The subsequent optimization module is used to, after achieving the expected moisture-proof target, correct the safety threshold and the dew point approach rate using the thermal response rate and the humidity decay rate, as a risk assessment benchmark for the keyboard in subsequent processes.

[0007] In a preferred embodiment, when the data coupling module performs feature concatenation on the keyboard's internal temperature distribution data, internal humidity distribution data, and external air pressure data to obtain the keyboard's multidimensional trend vector, it is specifically used for: Collect the internal temperature distribution data and internal humidity distribution data of the keyboard, and simultaneously collect the ambient atmospheric pressure value to obtain the external air pressure data of the keyboard; The internal temperature distribution data, the internal humidity distribution data, and the external air pressure data are timestamped to obtain the timing synchronization sequence of the keyboard. Extract the numerical and coordinate features of the data points in the time synchronization sequence, and couple the numerical and coordinate features to obtain the combined feature vector of the keyboard. The combined feature vectors are arranged in a spatiotemporal consistency manner to obtain the multidimensional trend vector of the keyboard.

[0008] In a preferred embodiment, when the risk assessment module performs the calculation of the keyboard's dew point approximation rate based on the multidimensional trend vector, it is specifically used for: The temperature time series sub-vector corresponding to the temperature dimension and the humidity time series sub-vector corresponding to the humidity dimension are extracted from the multidimensional trend vector. Perform forward difference operation on the temperature time series subvector and the humidity time series subvector to obtain the temperature change rate and humidity change rate of the keyboard; The dew point temperature of the keyboard is obtained by jointly calculating the time temperature value in the temperature time series sub-vector and the time humidity value in the humidity time series sub-vector. Based on the temperature change rate, the humidity change rate, the temperature value at the time, and the dew point temperature value, the dew point approximation rate of the keyboard is calculated, wherein the formula for calculating the dew point approximation rate is as follows: ; In the formula, The dew point approximation rate is... The temperature time series subvector is... For a unit of time, The humidity time series sub-vector, The temperature value at the stated time. The dew point temperature value. The temperature change rate is... The humidity change rate is... This is a preset non-zero minimum constant. It is the absolute value of the difference between the temperature value at the specified time and the dew point temperature value.

[0009] In a preferred embodiment, when the risk determination module determines that the keyboard is in a high-risk condensation condition because the dew point approach rate is lower than a preset safety threshold, it is specifically used for: When the dew point approach rate is lower than a preset safety threshold, the risk flag bit of the keyboard is determined; A sliding window analysis is performed on the location of the risk marker to obtain the risk confirmation status of the keyboard. The validity of the risk confirmation status is verified to determine whether the keyboard has entered a high-risk condensation condition.

[0010] In a preferred embodiment, when the internal and external coordination module dynamically adjusts the cross-sectional area of ​​the internal and external connecting channels in the keyboard to construct a coordinated micro-positive pressure gradient field in response to the high-risk condensation condition, it is specifically used for: In response to the high-risk condensation condition, the internal and external air pressures of the keyboard are differentially analyzed to obtain the real-time pressure difference of the keyboard, and the positive or negative sign of the real-time pressure difference is used to determine the dominant airflow direction of the keyboard. When the real-time differential pressure shows that the external air pressure value is higher than the internal air pressure, the cross-sectional area of ​​the internal and external connecting channels in the keyboard is adjusted to the minimum maintaining opening, leaving only a small ventilation gap to block the external moisture from flowing into the interior of the keyboard. When the real-time pressure difference shows that the internal air pressure is higher than the external air pressure, the flow cross-sectional area is increased proportionally to the corresponding opening degree according to the magnitude of the real-time pressure difference, so that the internal air pressure is released to the outside at a controlled rate and the internal air pressure is always higher than the external air pressure. During the adjustment of the flow cross-sectional area, the internal air pressure is repeatedly read and the real-time pressure difference is repeatedly updated; Based on the fluctuation range of the updated pressure difference, the opening step size of the flow cross-sectional area is finely adjusted until the updated pressure difference remains stable, so as to construct the cooperative micro-positive pressure gradient field of the keyboard.

[0011] In a preferred embodiment, when the fixed-point dehumidification module performs localized heating on the high-humidity coordinate points in the internal humidity distribution data within the coordinated micro-positive pressure gradient field, it is specifically used for: Gradient comparison is performed on the coordinate points in the internal humidity distribution data to determine candidate high humidity coordinate points in the internal humidity distribution data. The candidate high-humidity coordinate points are spatially superimposed with the airflow direction in the cooperative micro-positive pressure gradient field for analysis. Redundant coordinate points located downstream of the airflow and connected to the upstream high humidity region are removed from the candidate high humidity coordinate points. The coordinate points with the highest actual condensation risk are retained as the target high humidity coordinate points for the internal humidity distribution data. Based on the spatial distribution of the target high humidity coordinate points, a heating path for the keyboard is generated, and the target high humidity coordinate points of the keyboard are locally heated along the heating path.

[0012] In a preferred embodiment, when the expected completion module adjusts the intensity of the synergistic micro-positive pressure gradient field based on a comparison between the thermal response rate and the humidity decay rate in the heated region, it is specifically used for: After local heating is started, the rate of temperature rise in the heated area is collected in real time as the thermal response rate, and the rate of humidity decrease in the heated area is collected as the humidity decay rate. The thermal response rate is numerically compared with the humidity decay rate; When the thermal response rate is greater than the humidity decay rate, it is determined that the proportion of the current heating energy used for heating is higher than the proportion used for dehumidification. The intensity adjustment command of the synergistic micro-positive pressure gradient field is increased, and the internal air pressure is increased by reducing the flow cross-sectional area to assist humidity decay. When the thermal response rate is less than the humidity decay rate, it is determined that the proportion of the current heating energy used for dehumidification is higher than the proportion used for heating. The intensity adjustment command of the cooperative micro-positive pressure gradient field is reduced, and the internal air pressure is reduced by expanding the flow cross-sectional area to avoid excessive positive pressure maintenance. When the thermal response rate equals the humidity decay rate, the intensity of the current cooperative micro-positive pressure gradient field remains unchanged, and the opening of the flow cross-sectional area is locked.

[0013] In a preferred embodiment, when the expected completion module determines the expected moisture-proof target of the keyboard after determining that the keyboard has escaped the high-risk condensation condition and the current humidity value of the high-humidity coordinate point has recovered to below a preset safety baseline, it is specifically used for: After adjusting the intensity of the synergistic micro-positive pressure gradient field, the dew point approach rate is continuously monitored, and the dew point approach rate is compared with the safety threshold. When the dew point approach rate is not lower than the safety threshold, a first condition fulfillment flag is generated, indicating that the keyboard has escaped the high-risk condensation condition. The current humidity value of the high humidity coordinate point is compared with the preset safety baseline one by one. When the current humidity value is lower than the safety baseline, a second condition is satisfied flag is generated, indicating that the risk of local condensation on the keyboard has been eliminated. When the first condition fulfillment flag and the second condition fulfillment flag are generated simultaneously, the expected moisture-proof goal of the keyboard is achieved.

[0014] In a preferred embodiment, after achieving the expected moisture-proof target, the subsequent optimization module, using the thermal response rate and the humidity decay rate to correct the safety threshold and the dew point approach rate as a risk assessment benchmark for the keyboard in subsequent processes, is specifically used for: After achieving the expected moisture-proof goal, the thermal response rate and the humidity decay rate are numerically compared. When the humidity decay rate is greater than the thermal response rate, the value of the safety threshold is reduced, while the sensitivity of the humidity change rate in the dew point approach rate is increased. When the humidity decay rate is less than the thermal response rate, the value of the safety threshold is increased, and the sensitivity of the temperature change rate in the dew point approach rate is increased. The corrected safety threshold and the corrected dew point approach rate are stored in the keyboard's storage unit as a risk assessment benchmark for the keyboard.

[0015] To address the aforementioned problems, this invention also provides a self-protection and control method for moisture protection of an electronic keyboard with environmental self-sensing and micro-pressure regulation functions, the method comprising: S1: Feature concatenation is performed on the internal temperature distribution data, internal humidity distribution data, and external air pressure data of the keyboard to obtain the multidimensional trend vector of the keyboard; S2: Calculate the dew point approach rate of the keyboard based on the multidimensional trend vector. When the dew point approach rate is lower than a preset safety threshold, determine that the keyboard is in a high-risk condensation condition. S3: In response to the high-risk condensation condition, dynamically adjust the cross-sectional area of ​​the internal and external connecting channels in the keyboard to construct a cooperative micro-positive pressure gradient field for the keyboard. S4: In the cooperative micro-positive pressure gradient field, locate the high humidity coordinate point in the internal humidity distribution data, and locally heat the high humidity coordinate point; S5: Based on the comparison between the thermal response rate and the humidity decay rate in the heated area, adjust the intensity of the cooperative micro-positive pressure gradient field. When it is determined that the keyboard has escaped the high-risk condensation condition and the current humidity value of the high humidity coordinate point has recovered to below the preset safety baseline, determine the expected moisture-proof target of the keyboard. S6: After achieving the expected moisture-proof target, the safety threshold and the dew point approach rate are corrected using the thermal response rate and the humidity decay rate, and used as the risk assessment benchmark for the keyboard in subsequent processes.

[0016] The beneficial effects of this invention are as follows: 1. This invention uses multi-dimensional environmental data coupling perception and dew point approach rate accurate calculation to quickly identify the risk of condensation on electronic keyboards, thereby improving the real-time performance and accuracy of moisture protection. Furthermore, by dynamically constructing a collaborative micro-positive pressure gradient field, it effectively blocks the intrusion of external humid air, significantly enhancing the equipment's moisture protection capabilities.

[0017] 2. This invention employs targeted dehumidification and adaptive adjustment of positive pressure intensity, which significantly improves dehumidification efficiency and energy utilization. At the same time, relying on parameter self-optimization closed-loop continuous correction of risk judgment benchmark, the moisture protection strategy maintains high-precision operation for a long time, ensuring stable operation of the electronic keyboard in complex environments and extending the service life of the equipment. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a system architecture diagram of an electronic keyboard moisture-proof self-protection system with environmental self-sensing and micro-pressure regulation functions, provided as an embodiment of the present invention.

[0020] Figure 2 This is a flowchart illustrating a method for moisture-proof self-protection and control of an electronic keyboard with environmental self-sensing and micro-pressure regulation functions, as provided in an embodiment of the present invention. Detailed Implementation

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] Example 1: As Figure 1 The diagram shown is a system architecture diagram of an electronic keyboard moisture-proof self-protection system with environmental self-sensing and micro-pressure regulation functions provided by an embodiment of the present invention.

[0023] The electronic keyboard moisture-proof self-protection system 100 with environmental self-sensing and micro-pressure regulation functions described in this invention can be installed on a cloud server. In terms of implementation, it can be used as one or more service devices, or as an application installed on the cloud (e.g., a mobile service operator's server, server cluster, etc.), or it can be developed into a website. Depending on the implemented functions, the electronic keyboard moisture-proof self-protection system 100 with environmental self-sensing and micro-pressure regulation functions may include a data coupling module 101, a risk assessment module 102, an internal and external coordination module 103, a fixed-point dehumidification module 104, an expected completion module 105, and a subsequent optimization module 106. The module described in this invention can also be called a unit, which refers to a series of computer program segments that can be executed by the processor of an electronic device and can perform a fixed function, stored in the memory of the electronic device.

[0024] In this embodiment of the invention, an electronic keyboard moisture-proof self-protection system with environmental self-sensing and micro-pressure regulation functions is provided. Each of the aforementioned modules can be implemented independently and can be invoked by other modules. This invocation can be understood as a module connecting to multiple modules of another type and providing corresponding services to those connected modules. The electronic keyboard moisture-proof self-protection system with environmental self-sensing and micro-pressure regulation functions provided by this embodiment of the invention allows for adjustment of the applicable scope of the system architecture without modifying the program code. This is achieved by adding modules and directly invoking them, enabling cluster-based horizontal expansion and flexibly expanding the system. In practical applications, the aforementioned modules can be set in the same device or different devices, or they can be set in a virtual device, such as a service instance in a cloud server.

[0025] The following describes, with reference to specific embodiments, each component and its specific workflow of an electronic keyboard moisture-proof self-protection system with environmental self-sensing and micro-pressure regulation functions: The data coupling module is used to perform feature splicing on the internal temperature distribution data, internal humidity distribution data and external air pressure data of the keyboard to obtain the multidimensional trend vector of the keyboard. In this embodiment of the invention, when the data coupling module performs feature concatenation on the keyboard's internal temperature distribution data, internal humidity distribution data, and external air pressure data to obtain the keyboard's multidimensional trend vector, it is specifically used for: Collect the internal temperature distribution data and internal humidity distribution data of the keyboard, and simultaneously collect the ambient atmospheric pressure value to obtain the external air pressure data of the keyboard; The internal temperature distribution data, the internal humidity distribution data, and the external air pressure data are timestamped to obtain the timing synchronization sequence of the keyboard. Extract the numerical and coordinate features of the data points in the time synchronization sequence, and couple the numerical and coordinate features to obtain the combined feature vector of the keyboard. The combined feature vectors are arranged in a spatiotemporal consistency manner to obtain the multidimensional trend vector of the keyboard.

[0026] In this embodiment of the invention, internal temperature distribution data is collected by sensing and acquisition elements arranged inside the keyboard housing, internal humidity distribution data is collected by built-in humidity sensing components, and ambient atmospheric pressure values ​​are collected synchronously by air pressure sensing components on the outside of the keyboard, and integrated to form external air pressure data of the keyboard.

[0027] Using a unified time calibration benchmark, the internal temperature distribution data, internal humidity distribution data, and external air pressure data are calibrated at the same time node to eliminate time deviations during the acquisition process, so that the three types of data correspond to the same time node and are integrated to obtain the keyboard timing synchronization sequence.

[0028] The keyboard's timing synchronization sequence is disassembled, and the actual monitoring value of each data point is extracted to form numerical features. The keyboard acquisition location information corresponding to each data point is extracted to form coordinate features. The numerical features and coordinate features are then linked and merged point-to-point to obtain the keyboard's combined feature vector after data coupling is completed.

[0029] Based on the spatial distribution pattern of the keyboard and the logic of data temporal changes, the combination feature vectors of the keyboard are arranged in an orderly manner to ensure the matching and consistency of spatial and temporal dimensions. After completing the spatiotemporal consistency arrangement, the multidimensional trend vector of the keyboard is obtained.

[0030] The beneficial effects include: enabling simultaneous collection of multi-dimensional environmental data, comprehensively covering key factors affecting keyboard condensation; eliminating time deviations in data collection, ensuring the temporal consistency of monitoring data; achieving precise coupling of numerical and location information, improving the completeness of data representation; and ensuring unified matching of spatiotemporal information, providing a reliable multi-dimensional data foundation for subsequent risk assessment.

[0031] The risk determination module is used to calculate the dew point approach rate of the keyboard based on the multidimensional trend vector. When the dew point approach rate is lower than a preset safety threshold, the keyboard is determined to be in a high-risk condensation condition. In this embodiment of the invention, when the risk determination module performs the calculation of the keyboard's dew point approximation rate based on the multidimensional trend vector, it is specifically used for: The temperature time series sub-vector corresponding to the temperature dimension and the humidity time series sub-vector corresponding to the humidity dimension are extracted from the multidimensional trend vector. Perform forward difference operation on the temperature time series subvector and the humidity time series subvector to obtain the temperature change rate and humidity change rate of the keyboard; The dew point temperature of the keyboard is obtained by jointly calculating the time temperature value in the temperature time series sub-vector and the time humidity value in the humidity time series sub-vector. Based on the temperature change rate, the humidity change rate, the temperature value at the time, and the dew point temperature value, the dew point approximation rate of the keyboard is calculated, wherein the formula for calculating the dew point approximation rate is as follows: ; In the formula, The dew point approximation rate is... The temperature time series subvector is... For a unit of time, The humidity time series sub-vector, The temperature value at the stated time. The dew point temperature value. The temperature change rate is... The humidity change rate is... This is a preset non-zero minimum constant. It is the absolute value of the difference between the temperature value at the specified time and the dew point temperature value.

[0032] When the risk determination module determines that the keyboard is in a high-risk condensation condition because the dew point approach rate is lower than a preset safety threshold, it is specifically used for: When the dew point approach rate is lower than a preset safety threshold, the risk flag bit of the keyboard is determined; A sliding window analysis is performed on the location of the risk marker to obtain the risk confirmation status of the keyboard. The validity of the risk confirmation status is verified to determine whether the keyboard has entered a high-risk condensation condition.

[0033] The multidimensional trend vector is retrieved, and the dimensions are split according to the preset dimension parsing rules to accurately separate the temperature time series sub-vector and the humidity time series sub-vector, ensuring that the time series information and corresponding dimension data of the original vector are preserved.

[0034] By employing forward difference operations, the temperature difference between adjacent time nodes in the temperature time series sub-vector and the humidity difference between adjacent time nodes in the humidity time series sub-vector are calculated one by one, and the temperature change rate and humidity change rate are obtained respectively.

[0035] Extract the time-time temperature value of the temperature sub-vector and the time-time humidity value of the humidity sub-vector and match them one by one. Through a fixed collaborative calculation method, combine the correlation between the two to derive and integrate the dew point temperature value of each time node.

[0036] By correlating the rate of temperature change, rate of humidity change, temperature value at any given time, and dew point temperature value at the same time node, and integrating the correlated data through a fixed calculation method, the dew point approximation rate of the keyboard can be obtained.

[0037] All parameters in the formula are derived from the corresponding products generated by the aforementioned implementation steps of this invention. The temperature change rate and humidity change rate are derived from the results of forward difference operations on the temperature time series sub-vector and the humidity time series sub-vector. The temperature value at time is derived from the extracted data of the temperature time series sub-vector. The dew point temperature value is derived from the collaborative calculation results of the temperature value at time and the humidity value at time. The temperature time series sub-vector and the humidity time series sub-vector are derived from the dimensional decomposition of the multidimensional trend vector. The multidimensional trend vector is derived from the spatiotemporal consistency arrangement of the combined feature vector. The combined feature vector is derived from the data coupling of numerical features and coordinate features. The numerical features and coordinate features are derived from the decomposition and extraction of the time series synchronization sequence. The time series synchronization sequence is derived from the timestamp alignment of the internal temperature and humidity distribution data and the external air pressure data. The internal temperature and humidity distribution data and the external air pressure data are respectively derived from the collection of the internal sensing and acquisition element, the built-in humidity sensing component, and the external air pressure sensing component of the keyboard. The preset non-zero minimum constant is determined by testing the interference threshold of the keyboard working environment in advance. The testing process relies on the actual working scenario of the keyboard, collecting interference data under different environments, filtering out the minimum values ​​that will not affect the calculation results and can avoid the denominator being zero, and then solidifying them as the constant.

[0038] The significance of this formula lies in accurately quantifying the dew point approach rate of the keyboard. By integrating the correlation between temperature change rate, humidity change rate, instantaneous temperature value and dew point temperature value, and combining it with a preset non-zero minimum constant to avoid calculation anomalies, it intuitively reflects how quickly the instantaneous temperature value approaches the dew point temperature value. This provides accurate and quantifiable core data support for subsequent keyboard risk assessment, ensuring the accuracy and practicality of risk assessment, meeting the actual needs of keyboard environment monitoring, and ensuring that the assessment results conform to the actual working scenario.

[0039] The keyboard's dew point approach rate and preset safety threshold obtained earlier are retrieved. The safety threshold is determined by simulating different condensation conditions on the keyboard. The maximum dew point approach rate that will not cause condensation is selected and fixed. After comparing the two, if the dew point approach rate is lower than the safety threshold, a fixed risk flag representing the risk of condensation is immediately determined. The preset safety threshold has an initial value range of 0.5 to 2.0 (dimensionless rate value). The specific determination method is as follows: simulate typical condensation conditions (temperature 20℃→5℃, humidity 80%RH→95%RH) in a standard temperature and humidity test chamber, measure the dew point approach rate when condensation is about to occur inside the keyboard, and take 80% of this value as the safety threshold; the default initial value is set to 1.0.

[0040] A sliding window approach is used to analyze risk flags. The window length is determined and fixed through testing and combined with the condensation risk response time. The fixed-length window is moved unit by unit over the risk flag time sequence, and the flag information in each window is recorded and integrated. After the analysis is completed, the risk confirmation status of the keyboard is obtained. The window width of the sliding window analysis is 5 sampling points (corresponding to 5 seconds). If more than 3 flags in the window are 1, the risk status is confirmed. The validity verification includes checking whether the dew point approach rate at the corresponding time is continuously lower than the threshold and whether the absolute value of the temperature difference with the dew point temperature is less than 2℃.

[0041] Verify the risk confirmation status, retrieve the corresponding time series data, and confirm the consistency of the correlation by combining the dew point approach rate, the time temperature value, and the dew point temperature value. Check and remove abnormal indicators. After the verification is passed, the keyboard is determined to enter a high-risk condensation condition.

[0042] The beneficial effects include: accurate separation of temperature and humidity time-series data, preserving complete time-series change information; accurate calculation of temperature and humidity change rates, clearly reflecting the dynamic trends of environmental parameters; scientific derivation of dew point temperature values, providing a core basis for condensation risk assessment; quantitative calculation of dew point approach rate, intuitively presenting the speed of condensation risk development; avoiding calculation anomalies, ensuring stable and reliable risk assessment results; rapid marking of risk states, improving the response speed of risk identification; filtering instantaneous interference through sliding window analysis, improving the stability of risk assessment; and completing risk state verification, ensuring accurate and reliable identification of high-risk condensation conditions.

[0043] The internal and external coordination module is used to respond to the high-risk condensation condition and dynamically adjust the cross-sectional area of ​​the internal and external connecting channels in the keyboard to construct a coordinated micro-positive pressure gradient field of the keyboard. In this embodiment of the invention, when the internal and external coordination module dynamically adjusts the cross-sectional area of ​​the internal and external connecting channels in the keyboard to construct a coordinated micro-positive pressure gradient field for the keyboard in response to the high-risk condensation condition, it is specifically used for: In response to the high-risk condensation condition, the internal and external air pressures of the keyboard are differentially analyzed to obtain the real-time pressure difference of the keyboard, and the positive or negative sign of the real-time pressure difference is used to determine the dominant airflow direction of the keyboard. When the real-time differential pressure shows that the external air pressure value is higher than the internal air pressure, the cross-sectional area of ​​the internal and external connecting channels in the keyboard is adjusted to the minimum maintaining opening, leaving only a small ventilation gap to block the external moisture from flowing into the interior of the keyboard. When the real-time pressure difference shows that the internal air pressure is higher than the external air pressure, the flow cross-sectional area is increased proportionally to the corresponding opening degree according to the magnitude of the real-time pressure difference, so that the internal air pressure is released to the outside at a controlled rate and the internal air pressure is always higher than the external air pressure. During the adjustment of the flow cross-sectional area, the internal air pressure is repeatedly read and the real-time pressure difference is repeatedly updated; Based on the fluctuation range of the updated pressure difference, the opening step size of the flow cross-sectional area is finely adjusted until the updated pressure difference remains stable, so as to construct the cooperative micro-positive pressure gradient field of the keyboard.

[0044] Upon receiving the high-risk condensation condition judgment result from the risk assessment module, the system immediately activates the internal air pressure acquisition component to read the internal air pressure and the external air pressure sensor to read the external air pressure. The system performs differential analysis on the two sets of air pressure data to obtain the real-time pressure difference and determines the dominant airflow direction based on the positive or negative pressure difference.

[0045] If the real-time pressure difference shows that the external air pressure is higher than the internal air pressure, the opening adjustment mechanism of the internal and external connecting channels is activated, and the flow cross-sectional area is adjusted to the preset minimum maintenance opening. This opening is screened and solidified through simulation testing, and only a small amount of air permeable gap is retained to block the entry of external humid airflow.

[0046] If the real-time differential pressure display shows that the internal air pressure is higher than the external air pressure, the differential pressure value is read, and the flow cross-sectional area is adjusted proportionally to the corresponding opening degree according to the preset proportional adjustment rule (tested and solidified), so that the internal air pressure can be released in a controllable manner. Throughout the process, monitoring ensures that the internal air pressure is always higher than the external pressure. The specific proportional rule for "proportionally increasing to the corresponding opening degree" is: Opening degree = 5% + k * ΔP, where ΔP = P_in - P_out (unit Pa), k is a proportionality coefficient, with a value of 2% / Pa, and the maximum opening degree does not exceed 95%. The specific method for "fine-tuning the opening step size of the flow cross-sectional area" is as follows: when the differential pressure fluctuation after the update exceeds ±2Pa, the opening step size is reduced by 50%; when the differential pressure stabilizes within ±0.5Pa, the step size remains unchanged.

[0047] During the flow cross-sectional area adjustment, each time the opening adjustment is completed, the internal air pressure is read by the air pressure acquisition component and the real-time pressure difference is recalculated to ensure that the pressure difference data is accurate in real time and to provide support for fine-tuning of the opening.

[0048] The fluctuation range of the pressure difference after the update is read and compared with the preset stable fluctuation range (which has been tested and solidified). The opening step size is finely adjusted according to the fluctuation size. The adjustment is repeated until the pressure difference is stable, and finally a keyboard-coordinated micro-positive pressure gradient field is constructed.

[0049] The beneficial effects include: accurately analyzing the internal and external pressure difference and clarifying the airflow direction to provide a basis for regulation; reducing the channel opening to block the intrusion of external moisture and reduce the probability of condensation; adjusting the opening according to the pressure difference to stably maintain the internal slightly positive pressure environment; continuously updating the pressure difference data to ensure real-time accuracy in the regulation process; and dynamically fine-tuning the channel opening to keep the slightly positive pressure gradient field stable and effective.

[0050] The fixed-point dehumidification module is used to locate high humidity coordinate points in the internal humidity distribution data in the cooperative micro-positive pressure gradient field, so as to locally heat the high humidity coordinate points. In this embodiment of the invention, when the fixed-point dehumidification module performs local heating on the high-humidity coordinate points in the internal humidity distribution data within the coordinated micro-positive pressure gradient field, it is specifically used for: Gradient comparison is performed on the coordinate points in the internal humidity distribution data to determine candidate high humidity coordinate points in the internal humidity distribution data. The candidate high-humidity coordinate points are spatially superimposed with the airflow direction in the cooperative micro-positive pressure gradient field for analysis. Redundant coordinate points located downstream of the airflow and connected to the upstream high humidity region are removed from the candidate high humidity coordinate points. The coordinate points with the highest actual condensation risk are retained as the target high humidity coordinate points for the internal humidity distribution data. Based on the spatial distribution of the target high humidity coordinate points, a heating path for the keyboard is generated, and the target high humidity coordinate points of the keyboard are locally heated along the heating path.

[0051] The system retrieves internal humidity distribution data and a coordinated micro-positive pressure gradient field, compares the humidity at each coordinate point, and selects coordinate points with humidity levels exceeding a preset threshold (after solidification through a critical humidity test for condensation) as candidate high-humidity coordinate points. The "gradient comparison" specifically involves calculating the humidity difference between each sensor point and its four neighboring areas; points with a difference greater than 5% RH are marked as candidate high-humidity coordinate points. The "spatial overlay analysis" specifically involves calculating the positional relationship of each candidate point relative to the upstream / downstream airflow. The "removal of redundant coordinate points" is based on the following criteria: if a candidate point is located downstream of the airflow and its humidity can be explained by water vapor diffusion carried by the airflow in the upstream high-humidity region, it is removed. The coordinate points with the highest actual condensation risk are retained, i.e., the top 20% of coordinate points with the highest humidity values ​​or points with humidity values ​​exceeding 85% RH.

[0052] The dominant airflow direction is extracted from the cooperative micro-positive pressure gradient field. The spatial location information of the candidate high humidity coordinate points is superimposed with the airflow direction to clarify the spatial location of each candidate high humidity coordinate point in the airflow field and its correspondence with the airflow direction.

[0053] Based on the spatial overlay analysis results, the airflow location of each candidate high-humidity coordinate point is determined. Redundant coordinate points located downstream of the airflow and connected to the upstream high-humidity area are eliminated, as the humidity at these coordinate points can be carried and diffused by the airflow, resulting in a low risk of condensation. The coordinate point with the highest condensation risk is retained as the target high-humidity coordinate point for the internal humidity distribution data. Based on the overlay analysis results, redundant coordinate points downstream of the airflow and connected to the upstream high-humidity area are eliminated, and the coordinate point with the highest condensation risk is retained as the target high-humidity coordinate point.

[0054] Based on the spatial distribution of the target high-humidity coordinates, a heating path is planned to continuously cover all target high-humidity coordinates. This path avoids the core electronic components of the keyboard and is determined by a preset path planning rule. The planning rule is solidified after testing the keyboard's heating safety and dehumidification efficiency. Subsequently, the keyboard's built-in local heating component is activated to locally heat each target high-humidity coordinate point along the planned heating path, achieving targeted dehumidification. The specific method for "generating the keyboard's heating path" is as follows: all target high-humidity coordinates are sorted from highest to lowest humidity value, and a greedy algorithm is used to sequentially connect the nearest unvisited points, while avoiding the coordinate areas where the keyboard's core electronic components (such as the main control chip and capacitor array) are located; if there is an obstacle between two target points, it is bypassed along a Manhattan path. After the path is generated, the controller starts the heating elements at the corresponding coordinates in sequence according to the path. The heating time of each heating point is dynamically adjusted according to the difference between the humidity value of that point and the safety baseline: heating time = (RH_cur - RH_safe) × 2 seconds, with an upper limit of 60 seconds.

[0055] The beneficial effects include: accurately screening candidate high-humidity coordinate points and pinpointing areas of abnormal humidity inside the keyboard; performing spatial analysis based on airflow direction to match the actual operating state of the micro-positive pressure field; eliminating redundant coordinate points and focusing on key locations where condensation risk truly exists; planning dedicated heating paths to achieve targeted localized heating; and improving dehumidification efficiency while reducing ineffective energy consumption.

[0056] The expected completion module is used to adjust the intensity of the cooperative micro-positive pressure gradient field based on the comparison result between the thermal response rate and the humidity decay rate in the heated area. When it is determined that the keyboard has escaped the high-risk condensation condition and the current humidity value of the high humidity coordinate point has recovered to below the preset safety baseline, the expected moisture-proof target of the keyboard is determined. In this embodiment of the invention, when the expected completion module adjusts the intensity of the cooperative micro-positive pressure gradient field based on the comparison result between the thermal response rate and the humidity decay rate in the heated region, it is specifically used for: After local heating is started, the rate of temperature rise in the heated area is collected in real time as the thermal response rate, and the rate of humidity decrease in the heated area is collected as the humidity decay rate. The thermal response rate is numerically compared with the humidity decay rate; When the thermal response rate is greater than the humidity decay rate, it is determined that the proportion of the current heating energy used for heating is higher than the proportion used for dehumidification. The intensity adjustment command of the synergistic micro-positive pressure gradient field is increased, and the internal air pressure is increased by reducing the flow cross-sectional area to assist humidity decay. When the thermal response rate is less than the humidity decay rate, it is determined that the proportion of the current heating energy used for dehumidification is higher than the proportion used for heating. The intensity adjustment command of the cooperative micro-positive pressure gradient field is reduced, and the internal air pressure is reduced by expanding the flow cross-sectional area to avoid excessive positive pressure maintenance. When the thermal response rate equals the humidity decay rate, the intensity of the current cooperative micro-positive pressure gradient field remains unchanged, and the opening of the flow cross-sectional area is locked.

[0057] When the expected completion module determines that the keyboard has escaped the high-risk condensation condition and the current humidity value at the high-humidity coordinate point has returned to below the preset safety baseline, and determines the expected moisture-proof target for the keyboard, it is specifically used for: After adjusting the intensity of the synergistic micro-positive pressure gradient field, the dew point approach rate is continuously monitored, and the dew point approach rate is compared with the safety threshold. When the dew point approach rate is not lower than the safety threshold, a first condition fulfillment flag is generated, indicating that the keyboard has escaped the high-risk condensation condition. The current humidity value of the high humidity coordinate point is compared with the preset safety baseline one by one. When the current humidity value is lower than the safety baseline, a second condition is satisfied flag is generated, indicating that the risk of local condensation on the keyboard has been eliminated. When the first condition fulfillment flag and the second condition fulfillment flag are generated simultaneously, the expected moisture-proof goal of the keyboard is achieved.

[0058] After local heating is started, the rate of temperature rise in the heated area is collected in real time as the thermal response rate, and the rate of humidity decrease in the area is collected simultaneously as the humidity decay rate.

[0059] The thermal response rate and the humidity decay rate are compared numerically to clarify the relationship between their magnitudes.

[0060] If the thermal response rate is greater than the humidity decay rate, it means that the proportion of the current heating energy used for heating is higher than the proportion used for dehumidification. A command is issued to increase the intensity of the coordinated micro-positive pressure gradient field. By reducing the cross-sectional area of ​​the internal and external connecting channels, the internal air pressure is increased, which helps the humidity in the heated area decay rapidly.

[0061] If the thermal response rate is less than the humidity decay rate, it means that the proportion of the current heating energy used for dehumidification is higher than the proportion used for heating. A command to reduce the intensity of the coordinated micro-positive pressure gradient field is issued. By expanding the cross-sectional area of ​​the internal and external connecting channels, the internal air pressure is reduced to avoid excessive positive pressure and energy waste.

[0062] If the thermal response rate equals the humidity decay rate, it indicates that the heating energy distribution is reasonable, maintaining the current intensity of the synergistic micro-positive pressure gradient field, while locking the opening of the cross-sectional area of ​​the internal and external connecting channels to maintain the current dehumidification effect.

[0063] After adjusting the intensity of the coordinated micro-positive pressure gradient field, the dew point approach rate of the keyboard obtained above is continuously monitored, and the dew point approach rate is compared with the preset safety threshold to maintain continuous monitoring throughout the process.

[0064] When the dew point approach rate is detected to be no less than the safety threshold, a first condition fulfillment flag is immediately generated. This flag is used to clearly indicate that the keyboard has escaped the high-risk condensation condition.

[0065] The current humidity value of the target high humidity coordinate point is collected synchronously, and the current humidity value of each target high humidity coordinate point is compared with the preset safety baseline one by one. The preset safety baseline is determined and solidified by the keyboard condensation critical humidity test.

[0066] When the current humidity value of all target high-humidity coordinate points is lower than the preset safety baseline, a second condition is met flag is generated to indicate that the risk of local condensation on the keyboard has been completely eliminated. The preset safety baseline defaults to 60%RH, which is determined by a humidity tolerance test of the keyboard's internal electronic components: at an ambient temperature of 25°C, humid air is continuously introduced and the surface impedance of the circuit board is monitored. The humidity value when the impedance drops by more than 10% is taken as the critical value, and the safety baseline is taken as 80% of this critical value.

[0067] When the first condition fulfillment flag and the second condition fulfillment flag are generated simultaneously, it is determined that the keyboard has achieved the expected moisture-proof goal, and the expected moisture-proof goal of the keyboard is determined.

[0068] The beneficial effects include: real-time acquisition of thermal response and humidity decay rates for precise monitoring of dehumidification operation; assessment of energy distribution through rate comparison to provide a basis for positive pressure regulation; dynamic adjustment of the micro-positive pressure field intensity to ensure efficient synergy between heating and dehumidification; locking of channel opening to maintain stable and continuous dehumidification; continuous monitoring of dew point approach rate to accurately determine risk clearance status; verification of humidity values ​​at high humidity coordinate points to ensure complete elimination of local risks; and reliable achievement of the expected moisture protection goal when both conditions are met simultaneously.

[0069] The subsequent optimization module is used to, after achieving the expected moisture-proof target, correct the safety threshold and the dew point approach rate using the thermal response rate and the humidity decay rate, as a risk assessment benchmark for the keyboard in subsequent processes.

[0070] In this embodiment of the invention, after achieving the expected moisture-proof target, the subsequent optimization module, using the thermal response rate and the humidity decay rate to correct the safety threshold and the dew point approach rate as the risk assessment benchmark for the keyboard in subsequent processes, is specifically used for: After achieving the expected moisture-proof goal, the thermal response rate and the humidity decay rate are numerically compared. When the humidity decay rate is greater than the thermal response rate, the value of the safety threshold is reduced, while the sensitivity of the humidity change rate in the dew point approach rate is increased. When the humidity decay rate is less than the thermal response rate, the value of the safety threshold is increased, and the sensitivity of the temperature change rate in the dew point approach rate is increased. The corrected safety threshold and the corrected dew point approach rate are stored in the keyboard's storage unit as a risk assessment benchmark for the keyboard.

[0071] After achieving the expected moisture-proof goal, retrieve the thermal response rate and humidity decay rate collected earlier, compare the two values, and clarify the relationship between their magnitudes.

[0072] If the rate of humidity decay is greater than the rate of thermal response, the preset safety threshold value is reduced, while the sensitivity of the rate of humidity change in the dew point approach rate is increased to ensure that subsequent risk assessment is more in line with the actual dehumidification efficiency.

[0073] If the humidity decay rate is less than the thermal response rate, the preset safety threshold value is increased, and the sensitivity of the temperature change rate in the dew point approach rate is increased to adapt to actual heating and dehumidification scenarios.

[0074] The magnitude of "reducing the value of the security threshold" is 10% of the original value, but not less than 0.3; the magnitude of "increasing the value of the security threshold" is 10% of the original value, with an upper limit of 3.0.

[0075] The revised safety threshold and the revised dew point approach rate are stored in the keyboard's built-in storage unit and then solidified as a benchmark for subsequent keyboard condensation risk assessment.

[0076] The beneficial effects include: adaptive correction of judgment parameters based on comparison results with actual dehumidification rates; improved sensitivity in detecting humidity change rates for humidity-dominated scenarios; improved sensitivity in detecting temperature change rates for temperature-dominated scenarios; solidified and optimized parameters for more accurate and reliable subsequent risk assessments; and the formation of a closed-loop self-optimization mechanism to continuously improve the long-term stability of moisture-proof protection.

[0077] Reference Figure 2 The diagram shown is a flowchart illustrating a method for self-protection and control of moisture protection for an electronic keyboard with environmental self-sensing and micro-pressure regulation functions, according to an embodiment of the present invention. In this embodiment, the method for self-protection and control of moisture protection for an electronic keyboard with environmental self-sensing and micro-pressure regulation functions includes: S1: Feature concatenation is performed on the internal temperature distribution data, internal humidity distribution data, and external air pressure data of the keyboard to obtain the multidimensional trend vector of the keyboard; S2: Calculate the dew point approach rate of the keyboard based on the multidimensional trend vector. When the dew point approach rate is lower than a preset safety threshold, determine that the keyboard is in a high-risk condensation condition. S3: In response to the high-risk condensation condition, dynamically adjust the cross-sectional area of ​​the internal and external connecting channels in the keyboard to construct a cooperative micro-positive pressure gradient field for the keyboard. S4: In the cooperative micro-positive pressure gradient field, locate the high humidity coordinate point in the internal humidity distribution data, and locally heat the high humidity coordinate point; S5: Based on the comparison between the thermal response rate and the humidity decay rate in the heated area, adjust the intensity of the cooperative micro-positive pressure gradient field. When it is determined that the keyboard has escaped the high-risk condensation condition and the current humidity value of the high humidity coordinate point has recovered to below the preset safety baseline, determine the expected moisture-proof target of the keyboard. S6: After achieving the expected moisture-proof target, the safety threshold and the dew point approach rate are corrected using the thermal response rate and the humidity decay rate, and used as the risk assessment benchmark for the keyboard in subsequent processes.

[0078] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0079] The embodiments of this application can acquire and process relevant data based on artificial intelligence technology. Artificial intelligence is the theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results.

[0080] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A moisture-proof self-protection system for electronic keyboards with environmental self-sensing and micro-pressure regulation functions, characterized in that, The system includes a data coupling module, a risk assessment module, an internal and external coordination module, a fixed-point dehumidification module, an expected completion module, and a subsequent optimization module, wherein: The data coupling module is used to perform feature splicing on the internal temperature distribution data, internal humidity distribution data and external air pressure data of the keyboard to obtain the multidimensional trend vector of the keyboard. The risk determination module is used to calculate the dew point approach rate of the keyboard based on the multidimensional trend vector. When the dew point approach rate is lower than a preset safety threshold, the keyboard is determined to be in a high-risk condensation condition. The internal and external coordination module is used to respond to the high-risk condensation condition and dynamically adjust the cross-sectional area of ​​the internal and external connecting channels in the keyboard to construct a coordinated micro-positive pressure gradient field of the keyboard. The fixed-point dehumidification module is used to locate high humidity coordinate points in the internal humidity distribution data in the cooperative micro-positive pressure gradient field, so as to locally heat the high humidity coordinate points. The expected completion module is used to adjust the intensity of the cooperative micro-positive pressure gradient field based on the comparison result between the thermal response rate and the humidity decay rate in the heated area. When it is determined that the keyboard has escaped the high-risk condensation condition and the current humidity value of the high humidity coordinate point has recovered to below the preset safety baseline, the expected moisture-proof target of the keyboard is determined. The subsequent optimization module is used to, after achieving the expected moisture-proof target, correct the safety threshold and the dew point approach rate using the thermal response rate and the humidity decay rate, as a risk assessment benchmark for the keyboard in subsequent processes.

2. The electronic keyboard moisture-proof self-protection system with environmental self-sensing and micro-pressure regulation functions as described in claim 1, characterized in that, When the data coupling module performs feature concatenation on the keyboard's internal temperature distribution data, internal humidity distribution data, and external air pressure data to obtain the keyboard's multidimensional trend vector, it is specifically used for: Collect the internal temperature distribution data and internal humidity distribution data of the keyboard, and simultaneously collect the ambient atmospheric pressure value to obtain the external air pressure data of the keyboard; The internal temperature distribution data, the internal humidity distribution data, and the external air pressure data are timestamped to obtain the timing synchronization sequence of the keyboard. Extract the numerical and coordinate features of the data points in the time synchronization sequence, and couple the numerical and coordinate features to obtain the combined feature vector of the keyboard. The combined feature vectors are arranged in a spatiotemporal consistency manner to obtain the multidimensional trend vector of the keyboard.

3. The electronic keyboard moisture-proof self-protection system with environmental self-sensing and micro-pressure regulation functions as described in claim 1, characterized in that, When the risk assessment module calculates the keyboard's dew point approximation rate based on the multidimensional trend vector, it is specifically used for: The temperature time series sub-vector corresponding to the temperature dimension and the humidity time series sub-vector corresponding to the humidity dimension are extracted from the multidimensional trend vector. Perform forward difference operation on the temperature time series subvector and the humidity time series subvector to obtain the temperature change rate and humidity change rate of the keyboard; The dew point temperature of the keyboard is obtained by jointly calculating the time temperature value in the temperature time series sub-vector and the time humidity value in the humidity time series sub-vector. Based on the temperature change rate, the humidity change rate, the temperature value at the time, and the dew point temperature value, the dew point approximation rate of the keyboard is calculated, wherein the formula for calculating the dew point approximation rate is as follows: ； In the formula, The dew point approximation rate is... The temperature time series subvector is... For a unit of time, The humidity time series sub-vector, The temperature value at the stated time. The dew point temperature value. The temperature change rate is... The humidity change rate is... This is a preset non-zero minimum constant. It is the absolute value of the difference between the temperature value at the specified time and the dew point temperature value.

4. The electronic keyboard moisture-proof self-protection system with environmental self-sensing and micro-pressure regulation functions as described in claim 3, characterized in that, When the risk determination module determines that the keyboard is in a high-risk condensation condition because the dew point approach rate is lower than a preset safety threshold, it is specifically used for: When the dew point approach rate is lower than a preset safety threshold, the risk flag bit of the keyboard is determined; A sliding window analysis is performed on the location of the risk marker to obtain the risk confirmation status of the keyboard. The validity of the risk confirmation status is verified to determine whether the keyboard has entered a high-risk condensation condition.

5. The electronic keyboard moisture-proof self-protection system with environmental self-sensing and micro-pressure regulation functions as described in claim 4, characterized in that, When the internal and external coordination module responds to the high-risk condensation condition and dynamically adjusts the cross-sectional area of ​​the internal and external connecting channels in the keyboard to construct the keyboard's coordinated micro-positive pressure gradient field, it is specifically used for: In response to the high-risk condensation condition, the internal and external air pressures of the keyboard are differentially analyzed to obtain the real-time pressure difference of the keyboard, and the positive or negative sign of the real-time pressure difference is used to determine the dominant airflow direction of the keyboard. When the real-time differential pressure shows that the external air pressure value is higher than the internal air pressure, the cross-sectional area of ​​the internal and external connecting channels in the keyboard is adjusted to the minimum maintaining opening, leaving only a small ventilation gap to block the external moisture from flowing into the interior of the keyboard. When the real-time pressure difference shows that the internal air pressure is higher than the external air pressure, the flow cross-sectional area is increased proportionally to the corresponding opening degree according to the magnitude of the real-time pressure difference, so that the internal air pressure is released to the outside at a controlled rate and the internal air pressure is always higher than the external air pressure. During the adjustment of the flow cross-sectional area, the internal air pressure is repeatedly read and the real-time pressure difference is repeatedly updated; Based on the fluctuation range of the updated pressure difference, the opening step size of the flow cross-sectional area is finely adjusted until the updated pressure difference remains stable, so as to construct the cooperative micro-positive pressure gradient field of the keyboard.

6. The electronic keyboard moisture-proof self-protection system with environmental self-sensing and micro-pressure regulation functions as described in claim 1, characterized in that, When the fixed-point dehumidification module performs localized heating on the high-humidity coordinate points in the internal humidity distribution data within the coordinated micro-positive pressure gradient field, it is specifically used for: Gradient comparison is performed on the coordinate points in the internal humidity distribution data to determine candidate high humidity coordinate points in the internal humidity distribution data. The candidate high-humidity coordinate points are spatially superimposed with the airflow direction in the cooperative micro-positive pressure gradient field for analysis. Redundant coordinate points located downstream of the airflow and connected to the upstream high humidity region are removed from the candidate high humidity coordinate points. The coordinate points with the highest actual condensation risk are retained as the target high humidity coordinate points for the internal humidity distribution data. Based on the spatial distribution of the target high humidity coordinate points, a heating path for the keyboard is generated, and the target high humidity coordinate points of the keyboard are locally heated along the heating path.

7. The electronic keyboard moisture-proof self-protection system with environmental self-sensing and micro-pressure regulation functions as described in claim 6, characterized in that, When the expected completion module adjusts the intensity of the cooperative micro-positive pressure gradient field based on the comparison between the thermal response rate and the humidity decay rate in the heated region, it is specifically used for: After local heating is started, the rate of temperature rise in the heated area is collected in real time as the thermal response rate, and the rate of humidity decrease in the heated area is collected as the humidity decay rate. The thermal response rate is numerically compared with the humidity decay rate; When the thermal response rate is greater than the humidity decay rate, it is determined that the proportion of the current heating energy used for heating is higher than the proportion used for dehumidification. The intensity adjustment command of the synergistic micro-positive pressure gradient field is increased, and the internal air pressure is increased by reducing the flow cross-sectional area to assist humidity decay. When the thermal response rate is less than the humidity decay rate, it is determined that the proportion of the current heating energy used for dehumidification is higher than the proportion used for heating. The intensity adjustment command of the cooperative micro-positive pressure gradient field is reduced, and the internal air pressure is reduced by expanding the flow cross-sectional area to avoid excessive positive pressure maintenance. When the thermal response rate equals the humidity decay rate, the intensity of the current cooperative micro-positive pressure gradient field remains unchanged, and the opening of the flow cross-sectional area is locked.

8. The electronic keyboard moisture-proof self-protection system with environmental self-sensing and micro-pressure regulation functions as described in claim 7, characterized in that, When the expected completion module determines that the keyboard has escaped the high-risk condensation condition and the current humidity value at the high-humidity coordinate point has returned to below the preset safety baseline, and determines the expected moisture-proof target for the keyboard, it is specifically used for: After adjusting the intensity of the synergistic micro-positive pressure gradient field, the dew point approach rate is continuously monitored, and the dew point approach rate is compared with the safety threshold. When the dew point approach rate is not lower than the safety threshold, a first condition fulfillment flag is generated, indicating that the keyboard has escaped the high-risk condensation condition. The current humidity value of the high humidity coordinate point is compared with the preset safety baseline one by one. When the current humidity value is lower than the safety baseline, a second condition is satisfied flag is generated, indicating that the risk of local condensation on the keyboard has been eliminated. When the first condition fulfillment flag and the second condition fulfillment flag are generated simultaneously, the expected moisture-proof goal of the keyboard is achieved.

9. The electronic keyboard moisture-proof self-protection system with environmental self-sensing and micro-pressure regulation functions as described in claim 1, characterized in that, After achieving the expected moisture-proof target, the subsequent optimization module uses the thermal response rate and the humidity decay rate to correct the safety threshold and the dew point approach rate, which are then used as the risk assessment benchmark for the keyboard in subsequent processes. Specifically, this is used for: After achieving the expected moisture-proof goal, the thermal response rate and the humidity decay rate are numerically compared. When the humidity decay rate is greater than the thermal response rate, the value of the safety threshold is reduced, while the sensitivity of the humidity change rate in the dew point approach rate is increased. When the humidity decay rate is less than the thermal response rate, the value of the safety threshold is increased, and the sensitivity of the temperature change rate in the dew point approach rate is increased. The corrected safety threshold and the corrected dew point approach rate are stored in the keyboard's storage unit as a risk assessment benchmark for the keyboard.

10. A moisture-proof self-protection method for an electronic keyboard with environmental self-sensing and micro-pressure regulation functions, characterized in that, The method is used for employing the electronic keyboard moisture-proof self-protection system with environmental self-sensing and micro-pressure regulation functions as described in claim 1, wherein the method is as follows: S1: Feature concatenation is performed on the internal temperature distribution data, internal humidity distribution data, and external air pressure data of the keyboard to obtain the multidimensional trend vector of the keyboard; S2: Calculate the dew point approach rate of the keyboard based on the multidimensional trend vector. When the dew point approach rate is lower than a preset safety threshold, determine that the keyboard is in a high-risk condensation condition. S3: In response to the high-risk condensation condition, dynamically adjust the cross-sectional area of ​​the internal and external connecting channels in the keyboard to construct a cooperative micro-positive pressure gradient field for the keyboard. S4: In the cooperative micro-positive pressure gradient field, locate the high humidity coordinate point in the internal humidity distribution data, and locally heat the high humidity coordinate point; S5: Based on the comparison between the thermal response rate and the humidity decay rate in the heated area, adjust the intensity of the cooperative micro-positive pressure gradient field. When it is determined that the keyboard has escaped the high-risk condensation condition and the current humidity value of the high humidity coordinate point has recovered to below the preset safety baseline, determine the expected moisture-proof target of the keyboard. S6: After achieving the expected moisture-proof target, the safety threshold and the dew point approach rate are corrected using the thermal response rate and the humidity decay rate, and used as the risk assessment benchmark for the keyboard in subsequent processes.

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