Method and system for analyzing and processing test data of ion fan

Abstract

The invention relates to the technical field of ion fan testing, in particular to an analysis processing method and system for ion fan testing data. The method comprises the following steps: acquiring voltage data in a test period, extracting a rapid drop characteristic and a slow attenuation characteristic in electrostatic response data, and respectively generating a first electrostatic discharge characteristic and a second electrostatic discharge characteristic; identifying a corresponding discharge response section according to the difference; a response curve form in the section is extracted, and first neutralization time, first residual voltage, second neutralization time, second residual voltage and other electricity removal performance parameters are obtained; if the neutralization time difference and the residual voltage are both within the set threshold range, it is judged that the fan is in a stable electricity removal state, and blowing output is maintained; otherwise, it is judged that the electricity removal performance is abnormal, testing is stopped immediately, output is locked, and an alarm and data reporting mechanism is triggered; according to the invention, through ion fan testing, ion fan testing is more accurate.

Description

Technical Field

[0001] This invention relates to the field of ion fan testing technology, and in particular to a method and system for analyzing and processing ion fan test data. Background Technology

[0002] Ionizing fans, as key equipment for efficiently neutralizing static electricity, are increasingly widely used in production environments. Existing performance evaluation methods for ionizing fans mostly employ standard test panels with electrostatic voltage measuring devices to statically assess the static removal time and residual voltage during ionizing fan output. This approach fails to reflect the dynamic response characteristics of the fan during actual operation and the multi-stage dissipation behavior during discharge. Furthermore, factors such as ambient temperature and humidity, electrode aging, wind speed fluctuations, and the dielectric properties of the test panel can interfere with the test results. Existing methods generally lack the ability to identify, correct, and attribute non-ideal states in the test data, thus failing to accurately reflect the true static removal performance of the ionizing fan. In addition, traditional systems rely heavily on manual observation and intermittent testing, making it impossible to achieve data tracking and dynamic parameter extraction throughout the entire testing process, thus limiting the effective evaluation of the long-term operating status and performance trends of the ionizing fan. Summary of the Invention

[0003] Therefore, it is necessary to provide a method and system for analyzing and processing ion fan test data to solve at least one of the above-mentioned technical problems.

[0004] To achieve the above objectives, a method for analyzing and processing test data of an ion fan includes the following steps: Step S1: Obtain the output voltage data of the ion fan tester and the electrostatic response data of the test plate within the preset test cycle; determine the first electrostatic release characteristic based on the voltage drop behavior of the test electrostatic response data in the initial electrostatic removal stage, and determine the second electrostatic release characteristic based on the slow voltage decay behavior of the test electrostatic response data in the residual electrostatic release stage. Step S2: Based on the voltage drop rate difference between the first electrostatic discharge characteristic and the second electrostatic discharge characteristic, the remaining voltage amplitude, and the decay period, identify the corresponding first discharge response segment and second discharge response segment on the ion fan tester. Step S3: Extract the response curve morphology parameters of the first discharge response segment and the second discharge response segment to generate ion fan static removal performance parameters including the first neutralization time, the first residual voltage, the second neutralization time, and the second residual voltage; Step S4: If the difference between the first neutralization time and the second neutralization time is within the preset tolerance range, and both the first residual voltage and the second residual voltage are lower than the set voltage threshold, then the ion fan is determined to be in a stable de-energization state, and the fan continues to blow air until the test cycle ends. Step S5: If any item exceeds the tolerance range or voltage threshold, it is determined that there is an abnormal fluctuation in the ion fan's power removal performance. The test process is stopped immediately, the fan output is locked, the alarm module is triggered, and abnormal data including the current abnormal parameter value, response timestamp, and ambient temperature and humidity status are recorded. The abnormal data is then pushed to the background for traceability.

[0005] This specification provides an analysis and processing system for ion fan test data, used to execute the analysis and processing method for ion fan test data as described above. The analysis and processing system for ion fan test data includes: The electrostatic discharge characteristic determination module is used to acquire the output voltage data of the ion fan tester and the electrostatic response data of the test plate within a preset test cycle; the first electrostatic discharge characteristic is determined based on the voltage drop behavior of the test electrostatic response data in the initial electrostatic removal stage, and the second electrostatic discharge characteristic is determined based on the slow voltage decay behavior of the test electrostatic response data in the residual electrostatic discharge stage. The discharge response segment identification module is used to identify the corresponding first discharge response segment and second discharge response segment on the ion fan tester based on the voltage drop rate difference between the first electrostatic discharge feature and the second electrostatic discharge feature, the remaining voltage amplitude, and the decay period. The ion fan static removal performance generation module is used to extract the response curve morphology parameters of the first discharge response segment and the second discharge response segment, and generate ion fan static removal performance parameters including the first neutralization time, the first residual voltage, the second neutralization time, and the second residual voltage. The stable de-energization state determination module is used to determine that the ion fan is in a stable de-energization state if the difference between the first neutralization time and the second neutralization time is within a preset tolerance range, and both the first residual voltage and the second residual voltage are lower than the set voltage threshold, and the fan continues to blow air until the end of the test cycle. The abnormal fluctuation determination module is used to determine that the ion fan's power removal performance has abnormal fluctuations if any item exceeds the tolerance range or voltage threshold. The test process is stopped immediately, the fan output is locked, the alarm module is triggered, and abnormal data including the current abnormal parameter value, response timestamp, and ambient temperature and humidity status are recorded. The abnormal data is then pushed to the background for traceability.

[0006] The present invention has the following beneficial effects: Firstly, by dividing the electrostatic neutralization process of the ion fan into two stages—the first discharge response segment (initial rapid discharge stage) and the second discharge response segment (slow decay stage)—and extracting the first and second electrostatic release characteristics based on the different changes in the electrostatic response voltage, the testing process can be refined into precise modeling of different discharge mechanisms. This avoids the performance evaluation bias caused by the uniform treatment of the entire neutralization process in previous testing methods. This segmented modeling approach significantly improves the observability of the electrostatic release process and the physical consistency of parameter expression.

[0007] Secondly, by using key parameters such as voltage drop rate, residual voltage amplitude, and decay time period based on the response curve, the static electricity removal performance parameters of the ion fan are extracted at different stages, including the first neutralization time, the second neutralization time, the first residual voltage, and the second residual voltage. This not only quantifies the speed of the static electricity removal response but also comprehensively reflects the dissipation efficiency of the fan in the mid-to-late stage of residual charge release, thus providing a more comprehensive and hierarchical performance evaluation index, which is suitable for scenarios with high requirements for electrostatic control, such as precision manufacturing.

[0008] Thirdly, the tolerance comparison mechanism for neutralization time and residual voltage constructed in this invention can judge the output status of the ion fan in real time during the test. If the difference between the neutralization time of the two stages is not large and the residual voltage is lower than the set threshold, it is automatically determined to be a stable de-energization state, and the fan blowing state is maintained until the end of the test cycle; if any indicator exceeds the set range, the abnormal response logic is quickly triggered, the fan output is stopped, the test process is locked, and abnormal information is pushed, which enhances the safety and intelligence of the test process and helps to realize online self-diagnosis and closed-loop control of the de-energization equipment.

[0009] Fourthly, a source-oriented attribution analysis is performed on test data under abnormal operating conditions. Abnormal parameter values, response timestamps, and corresponding environmental temperature and humidity conditions are recorded. This information is then pushed to the backend system to achieve trend tracking and multi-condition cross-validation of historical test data. This multi-dimensional abnormal data collection and analysis mechanism provides a basis for decision-making regarding subsequent wind turbine performance optimization, process improvement, and batch quality stability. It also enhances the stability and engineering adaptability of the ion wind turbine testing platform in the face of complex environmental interference and long-term operational fluctuations. Attached Figure Description

[0010] Figure 1 A flowchart illustrating the steps of an ion fan test data analysis and processing method; Figure 2 Diagram of an ion fan device; Figure 3 This is a diagram of an ion fan testing instrument. Figure 4This is a diagram of the test panel of an ion fan tester. The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0011] The technical method of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0012] Furthermore, the accompanying drawings are merely illustrative of the invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and therefore repeated descriptions of them will be omitted. Some block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor methods and / or microcontroller methods.

[0013] It should be understood that although the terms "first," "second," etc., may be used herein to describe various units, these units should not be limited by these terms. These terms are used merely to distinguish one unit from another. For example, without departing from the scope of the exemplary embodiments, a first unit may be referred to as a second unit, and similarly, a second unit may be referred to as a first unit. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0014] To achieve the above objectives, please refer to Figures 1 to 4 A method for analyzing and processing test data of an ion fan includes the following steps: Step S1: Obtain the output voltage data of the ion fan tester and the electrostatic response data of the test plate within the preset test cycle; determine the first electrostatic release characteristic based on the voltage drop behavior of the test electrostatic response data in the initial electrostatic removal stage, and determine the second electrostatic release characteristic based on the slow voltage decay behavior of the test electrostatic response data in the residual electrostatic release stage. In one embodiment, the system synchronously collects data from the output of the ion fan tester and the test plate via a series-connected high-precision voltage acquisition module and electrostatic response monitoring module. The test period is set to 120 seconds, and the data sampling frequency is 10Hz, resulting in 1200 sets of time-series voltage data. During the first 20 seconds of the initial electrostatic discharge phase, the response voltage of the test plate rapidly decreases from ±1000V to within ±100V. The voltage decay slope during this phase is greater than 45V / s, and the system extracts this behavior as the first electrostatic discharge characteristic. Subsequently, a slow voltage decay phase begins, where the response voltage slowly decreases from around ±100V to ±10V. The decay rate during this phase is less than 5V / s, and the duration exceeds 60 seconds, based on which the second electrostatic discharge characteristic is extracted.

[0015] In another embodiment, the test system is assumed to use a K-type ion fan, coupled with a 300mm × 300mm conductive test plate, and the test is conducted in a standard experimental chamber. An initial electrostatic charge is applied to +1200V, the test period is set to 180 seconds, the sampling frequency is 10Hz, and the total number of sampling points is 1800. Within the first 30 seconds, the voltage rapidly decays from +1200V to +90V. Linear fitting of the data during this phase yields an average decay rate of 37V / s, which is determined to be the first electrostatic discharge characteristic range. Afterward, the voltage continues to slowly decrease to +9V, taking approximately 85 seconds, with an average decay rate of 2.5V / s, which is determined to be the second electrostatic discharge characteristic.

[0016] Step S2: Based on the voltage drop rate difference between the first electrostatic discharge characteristic and the second electrostatic discharge characteristic, the remaining voltage amplitude, and the decay period, identify the corresponding first discharge response segment and second discharge response segment on the ion fan tester. In one embodiment, using the first and second electrostatic discharge characteristics extracted in step S1, the voltage drop rates are calculated as α1=35V / s and α2=3V / s, respectively, with remaining voltages of V1=±90V and V2=±8V, and decay periods of T1=30s and T2=60s, respectively. The rate difference Δα=α1–α2 is used as the segmentation criterion, and the first discharge response segment (rapid descent segment) and the second discharge response segment (plateau descent segment) are automatically marked on the original response curve based on the position of the period boundary, corresponding to the response data within the first 30s and the last 60s, respectively.

[0017] In another embodiment, during the test, the decay period of the first electrostatic discharge characteristic was detected to be 25 seconds, with a maximum voltage drop rate of 27.6V / s; the slow decay period of the second electrostatic discharge characteristic was 80 seconds, with a drop rate of only 1.2V / s. By analyzing the time derivative curve of the response voltage, the system automatically detects the abrupt slope change point as the segment boundary, and uses the sliding window averaging method to enhance the robustness of boundary detection, ensuring that the segment division still has high accuracy under noise interference conditions.

[0018] Step S3: Extract the response curve morphology parameters of the first discharge response segment and the second discharge response segment to generate ion fan static removal performance parameters including the first neutralization time, the first residual voltage, the second neutralization time, and the second residual voltage; In one embodiment, key performance indicators are extracted from two response segments: the first neutralization time is defined as the duration for the voltage to drop to ±100V, and the first residual voltage is the voltage value at that time point; the second neutralization time is defined as the time point for the voltage to drop to within ±10V and remain stable, and the second residual voltage is the average value of the stable period. The system integrates these four parameters into the electrostatic neutralization characteristic indicators of the current ion fan and saves them to the performance database to support horizontal comparison and dynamic traceability.

[0019] In another embodiment, based on the aforementioned hypothetical test data, the first neutralization time is extracted as 1.8 seconds (voltage drops to ±100V); the first residual voltage is 34V; the second neutralization time is 2 seconds (voltage drops to ±10V); and the second residual voltage is +8.7V. The system simultaneously extracts the voltage curve fitting slope and stability residual for the corresponding time periods to enhance the model's ability to identify non-ideal response behaviors.

[0020] Step S4: If the difference between the first neutralization time and the second neutralization time is within the preset tolerance range, and both the first residual voltage and the second residual voltage are lower than the set voltage threshold, then the ion fan is determined to be in a stable de-energization state, and the fan continues to blow air until the test cycle ends. In one embodiment, the system sets the neutralization time tolerance range to 2 seconds and the residual voltage stabilization threshold to ±10V. When the difference between the first and second neutralization times does not exceed 2 seconds, and both the first and second residual voltages are below ±10V, the ion fan is considered to be in a stable de-energizing state. In this state, the system maintains its original operating state, continues to execute the remaining test tasks, and marks the current test cycle as qualified.

[0021] In another embodiment, referring to the aforementioned test data, the first neutralization time is 1 second, the second neutralization time is 4 seconds, and the difference is 1 second, which exceeds 2 seconds. Although the first and second residual voltages are both +34V and +8.7V, the neutralization time does not meet the tolerance condition, and it is judged as a fluctuation in power consumption performance, prompting the user to verify the device output stability or readjust the test configuration. In a normal test scenario, if the time difference is 0.2 seconds and the residual voltages are +9.8V and +6.3V respectively, the system determines that the device performance is stable and automatically generates a performance qualification mark for this round of testing.

[0022] Step S5: If any item exceeds the tolerance range or voltage threshold, it is determined that there is an abnormal fluctuation in the ion fan's power removal performance. The test process is stopped immediately, the fan output is locked, the alarm module is triggered, and abnormal data including the current abnormal parameter value, response timestamp, and ambient temperature and humidity status are recorded. The abnormal data is then pushed to the background for traceability.

[0023] In one embodiment, after acquiring the difference between the first and second neutralization times, as well as the two residual voltages, the system immediately compares these data with preset tolerance standards. For example, if the system sets the maximum tolerance for neutralization time to 2 seconds and the voltage threshold to ±15V, then if any of these parameters exceeds the set range, it will be judged as a performance anomaly. Once an anomaly is identified, the system will immediately issue a control signal to interrupt the current power supply to the fan and set the fan status to "locked" mode to prevent continued operation in an unstable state. The built-in alarm module will alert the operator through a buzzer or indicator light and automatically send the fault information to the host computer system through the communication module. All key data points of the anomaly will be recorded, including the currently measured abnormal parameters (e.g., actual difference of 2 seconds, first residual voltage +96.2V), the corresponding timestamp, and the temperature and humidity values ​​collected by the environmental sensors at the time of the anomaly (e.g., 28.5℃, 60.2%RH). All this information will be automatically packaged into an anomaly data packet and uploaded to the background database via the local network for subsequent quality traceability and statistical analysis.

[0024] In another embodiment, the set test thresholds remain consistent. The first residual voltage of +19V significantly exceeds the set threshold of ±15V, and the difference between the first and second neutralization times is 3 seconds, also exceeding the time tolerance. At this point, the test system immediately determines the current test data is abnormal at the 4-second mark, issues a control command to disconnect the fan output, and the entire test process terminates prematurely. The anomaly handling module performs the following operations: stops data acquisition; locks the fan output channel to ensure no further misjudgment or false blowing occurs during the test; pops up a fault prompt window on the graphical interface for testers to quickly view the cause of the anomaly; records the test number, anomaly indicators, time points, and ambient temperature and humidity values, and generates a complete anomaly analysis log. The background server collects these log files periodically for offline analysis of which devices have batch deviations, whether the test environment frequently triggers anomalies, etc.

[0025] Preferably, step S1 includes the following steps before obtaining the electrostatic response: Obtain the structural parameters of the ion blower test panel, including dimensional parameters and material parameters. The dimensional parameters include the panel surface area and panel thickness, and the material parameters include the panel dielectric constant and surface resistivity of the test panel. The maximum total static electricity that the test panel can withstand is estimated using the dielectric constant and size parameters of the test panel. Estimate the spatial uniformity of charge distribution based on the surface resistivity and size parameters of the test panel; Determine the performance parameters of the test panel to determine the spatial uniformity of charge distribution and the maximum total static electricity that the test panel can withstand; The test panel is controlled to perform a pre-charge operation to evaluate its electrostatic discharge capability. If the electrostatic discharge capability exceeds the preset self-discharge threshold, the test panel is subjected to interference evaluation and correction.

[0026] In one embodiment, the structural parameters of the test panel are collected, including: panel surface area (e.g., 150 cm²). 2 Thickness (e.g., 3mm), dielectric constant (e.g., 3.2), and surface resistivity (e.g., 1×10⁻⁶). 10 (Ω / sq). Based on the dielectric constant ε≈3.2 and panel size, its maximum electrostatic charge is estimated to be approximately 45nC. Simultaneously, combining surface resistivity and panel geometry, its charge distribution uniformity coefficient is estimated to be 0.85 (1.0 indicates extremely uniform). The control system then pre-charges the panel with +1000V electrostatic charge and shuts down the fan, recording the natural voltage decay process at a frequency of 1Hz over 30 minutes. If the voltage drop rate per unit time exceeds 30V / min, or the residual voltage remains above +300V after 30 minutes, the system determines that the panel has a strong self-discharge capability and poses an interference risk. In this case, the panel is marked as interference-sensitive, and a self-discharge correction factor (e.g., -8%) is introduced in subsequent tests to compensate for deviations in the fan performance parameters.

[0027] In another embodiment, the system uses a 200cm² piece. 2 Thickness 4mm, dielectric constant 4.0, surface resistivity 5×10⁻⁶ 9 The test panel has an electrostatic discharge capacity of approximately 75 nC and a charge uniformity coefficient of 0.92. After a pre-charge of +800V, its voltage decay data was recorded over a 20-minute resting period. The test revealed a voltage drop rate of 22V / min and a residual voltage of +190V, both below the system's default thresholds (set thresholds of 30V / min and +300V respectively). Therefore, it was determined to be a low-interference panel and can be directly used for wind turbine performance evaluation without correction.

[0028] In another embodiment, assuming that a 300cm block is first processed... 2 Surface area, thickness 2.5 mm, dielectric constant 3.8, surface resistivity 2 × 10⁻⁶ 10A standard test panel with an Ω / sq rating was modeled and its performance analyzed. Calculations showed that the maximum total electrostatic charge the panel could withstand was approximately 57 nC. Combining its resistivity and geometry, the system estimated its charge distribution spatial uniformity to be approximately 0.88, defined as a medium uniformity level. The test system then applied a pre-charge of +1000V to the panel and turned off the ion fan output, simulating a scenario of natural quiescence with the fan off. The sampling frequency was set to 1Hz, and the voltage change during natural discharge was continuously recorded for 30 minutes. During the experiment, the panel voltage was recorded to decrease rapidly at a rate of 40V / min in the first 5 minutes, reaching +800V at the 5th minute; it then entered a slow decay phase, with a residual voltage of +520V at the 30th minute, after which the voltage change tended to stabilize.

[0029] Preferably, the control test panel performs a pre-charging operation to evaluate the electrostatic self-discharge capability of the test panel. If the electrostatic self-discharge capability of the test panel exceeds a preset self-discharge threshold, an interference assessment is performed on the test panel, and corrective processing is carried out, including: The control test panel performs a pre-charge operation to form an electrostatic load state test panel with a set initial voltage; With the ion fan output off, the voltage decay of the test panel is monitored using an electrostatic response sensor. The sampling frequency is set to continuously record the electrostatic response voltage value of the test panel within a preset period, so as to obtain the natural discharge response of the test panel without external influence. The first self-discharge characteristic parameter is determined based on the voltage decay rate per unit time, decay start time, and initial voltage amplitude in the natural discharge response of the test panel. The second self-discharge characteristic parameter is determined based on the residual voltage amplitude and voltage stabilization time in the natural discharge response of the test panel. The electrostatic self-discharge capability of the test panel is evaluated based on the voltage amplitude change, duration, and response stability between the second self-discharge characteristic parameter and the first self-discharge characteristic parameter. If the electrostatic discharge capability of the test panel exceeds the preset self-discharge threshold, an interference assessment is performed on the test panel, the interference characteristics of the test panel's performance parameters are attributed, and electrostatic discharge interference correction is performed.

[0030] In one embodiment, to assess whether the electrostatic self-discharge capability of the test panel interferes with the performance test results of the ion fan, the system controls the test panel to perform a pre-charging operation, loading its electrostatic voltage to +1000V to form a set initial voltage state. Subsequently, with the ion fan output turned off, the system records the electrostatic response voltage value of the test panel at a sampling frequency of 1Hz over a 30-minute period using an electrostatic response sensor to obtain the panel's natural discharge behavior under conditions without an external ionization source. Further analysis shows that at the 30-minute mark, the panel voltage is +510V, with a voltage fluctuation range of less than ±1V, and it has been in a stable state for more than 5 minutes. Combining the residual voltage and the stabilization time, the system identifies the second self-discharge characteristic parameter as high residual and high slow-descent type. Based on the two characteristic parameters, the self-discharge capability of the panel has exceeded the set risk threshold (the threshold is set to residual voltage ≤450V and stabilization time ≤5 minutes). Accordingly, the system triggers an interference identification mechanism to attribution correct the current performance parameters of the test panel, with a compensation factor set to -7.2% to eliminate voltage decay errors caused by the self-discharge behavior of the test panel.

[0031] In another embodiment, to further improve the system's sensitivity in identifying self-discharge interference of the test panel under different scenarios, the pre-charge voltage of the test panel is set to ±1100V (adjustable range: ±500V~±1000V), and a short-time high-frequency sampling strategy is introduced. Specifically, the discharge response is recorded at a frequency of 10Hz within the first 5 minutes, and then continuously sampled at a frequency of 1Hz to improve the accuracy of identifying the initial rapid decay behavior. During this process, the test panel decreases from ±1100V to ±800V within 2 minutes and stabilizes at around ±680V after 20 minutes. By fitting the first and second derivatives of this voltage decay curve, the system identifies the maximum decay rate of the first characteristic parameter as 92.5V / min, while the residual voltage fluctuation range of the second characteristic segment is ±5V, with a stabilization time of approximately 8 minutes. Based on the optimized model, the system not only performs numerical determination of the first and second self-discharge parameters but also estimates the interference probability based on the stability and nonlinear characteristics of the decay trend (e.g., the sum of squared residuals of the curve > a set threshold). When the panel's interference risk level is assessed as medium to high, the system adopts a piecewise linear correction method, applying a 3.8% correction factor only to the test data of the last 20 minutes, while retaining the original data of the first part, in order to enhance the ability to accurately reproduce instantaneous discharge behavior.

[0032] Preferably, step S1 includes the following steps before obtaining the electrostatic response: Collect real-time temperature and humidity data of the test environment where the ion fan tester is located, and determine whether the test environment temperature is higher than the preset temperature threshold and whether the humidity is higher than the preset humidity threshold. If both temperature and humidity exceed the corresponding threshold, the control panel will perform an electrostatic pre-charge operation to obtain the discharge response data of the test panel under high temperature and high humidity conditions. If both temperature and humidity are less than or equal to the threshold, the control panel performs electrostatic pre-charging operation under different temperature and humidity conditions to obtain the discharge response dataset of the test panel under multiple temperature and humidity conditions. Based on the discharge response dataset, the voltage decay curve morphology parameters of each data set are extracted, and the maximum and minimum voltage decay rates under different temperature and humidity conditions are determined respectively. The temperature and humidity disturbance index is calculated based on the difference between the maximum voltage decay rate and the minimum voltage decay rate. Based on the temperature and humidity interference index, the lowest interference values ​​of ambient temperature and humidity are extracted, and the temperature and humidity of the test environment are adjusted accordingly.

[0033] In one embodiment, to analyze the potential impact of ambient temperature and humidity on the test results, the system collects real-time temperature and humidity parameters of the environment where the ion fan tester is located. In this embodiment, the temperature threshold is set to 35℃ and the humidity threshold is set to 75%. When the system detects that the current test environment temperature is 37℃ and the humidity is 82%, i.e., both temperature and humidity exceed the set threshold range, the system automatically controls the test panel to perform a pre-charging operation, setting its initial voltage to +1000V. Then, with the ion fan output turned off, the system acquires the natural discharge response data of the panel under high temperature and high humidity conditions. The system uses an electrostatic response sensor to record the voltage decay curve of the panel's discharge process and extracts morphological parameters such as voltage decay rate, residual voltage, and stabilization time. The recorded results show that the maximum voltage decay rate under this environment is 42.8V / min, and the minimum voltage decay rate is 18.4V / min. The system calculates the temperature and humidity interference index as 24.4V / min based on this difference. This index assesses the degree of interference between the current test environment's temperature and humidity and the discharge behavior of the test panel. The system extracts the environmental conditions with the lowest interference index from historical records (e.g., temperature 26℃, humidity 40%, interference index 8.3V / min) as the target correction benchmark for the current test. The system automatically adjusts the microenvironment of the test area, such as by activating the dehumidification system or cooling device, to bring the environment close to the optimal interference conditions, thereby improving the stability and repeatability of subsequent ion fan performance test results.

[0034] In another embodiment, to enhance the ion fan testing system's sensitivity to changes in environmental interference, multiple sets of temperature and humidity test conditions are set, and the panel discharge behavior under each condition is compared and modeled. The system detects that the current ambient temperature is 28°C and the humidity is 62%, both of which do not exceed the set thresholds (temperature 35°C, humidity 75%), thus triggering an automatic testing process under multiple temperature and humidity conditions. Specifically, the system simulates three sets of test conditions through an environmental chamber: Condition A: temperature 25°C, humidity 40%; Condition B: temperature 30°C, humidity 60%; Condition C: temperature 34°C, humidity 72%. Under each condition, the system control panel performs a uniform initial condition electrostatic pre-charge operation (±1000V) and collects the complete natural discharge response process. After processing the three sets of discharge response data, the system extracted the following results: Condition A: maximum attenuation rate 26.5 V / min, minimum attenuation rate 20.1 V / min; Condition B: maximum attenuation rate 34.9 V / min, minimum attenuation rate 24.7 V / min; Condition C: maximum attenuation rate 41.3 V / min, minimum attenuation rate 30.6 V / min. The temperature and humidity interference indices for the three conditions were calculated to be 6.4, 10.2, and 10.7 respectively. Condition A, with the lowest interference index, was selected as the optimal test environment reference state. If the current natural environment cannot stabilize to the conditions of Condition A, the system will perform deviation correction on the collected test data, using an exponential fitting function model for parameter normalization to ensure that the discharge efficiency analysis results are not significantly affected by environmental temperature and humidity interference.

[0035] Preferably, the determination of the first electrostatic discharge characteristic in step S1 includes: The initial startup time of the extraction ion fan is set to determine the first stage time of the ion fan. Identify the voltage change value of the electrostatic response data during the first stage of the ion fan test; Calculate the voltage change value per unit time voltage change amplitude in the first stage time, and determine the first voltage release impact characteristic based on the maximum change amplitude; Plot the voltage decay curve using the voltage change values ​​and determine the voltage response peak marker point; The first electrostatic discharge characteristic is determined based on the voltage response spike marker and the first voltage release impulse characteristic.

[0036] In one embodiment, the system identifies features related to the electrostatic discharge behavior during the initial startup of the ion fan. The first stage of the ion fan is defined as a time window of 0-2 seconds after startup. By extracting the electrostatic response data of the test plate during this stage, the system identifies the voltage change value within the corresponding time period. For example, within 2 seconds, the response voltage rapidly drops from +1000V to +420V. Subsequently, the system calculates the voltage change amplitude per unit time during this stage, obtaining an average drop rate of 290V / s, and detects that the voltage change rate reaches a peak of approximately 360V / s at 0.45 seconds. This peak value is identified as the first voltage discharge impact characteristic. Next, the system plots a voltage decay curve based on continuously sampled voltage data points and identifies the voltage response peak marker point through first derivative rate of change analysis. This peak marker point is located at 0.48 seconds, and the corresponding voltage decay pattern indicates that the initial release process of the ion fan has strong transient characteristics. The system combines the voltage response peak marker point with the first voltage discharge impact characteristic to determine the first electrostatic discharge characteristic under the current test conditions.

[0037] In another embodiment, the system uses different models of ion fan devices for comparative testing to verify the differences in the initial electrostatic discharge capabilities of different devices. Assuming an experiment using an ion fan model IF-102, the first stage time is set to 0-3 seconds, and the initial charging voltage of the test panel is ±1000V. The system collects voltage data and identifies the voltage change range during the first stage sampling period, detecting a voltage drop from +1000V to +360V within 0-3 seconds. The calculated average voltage change rate is 213V / s, with a maximum instantaneous change rate of 305V / s at 0.95 seconds. This maximum rate is defined as the first voltage release impact characteristic. By analyzing the shape of the voltage decay curve and the first-order rate of change, the system identifies a significant voltage response peak located at 1.02 seconds, corresponding to a sudden drop in voltage from +480V to +410V, exhibiting typical steep peak behavior. Based on the aforementioned impact characteristics and response peaks, the system determines that this type of fan has good initial electrostatic neutralization capability and obvious first electrostatic release characteristics, providing a stable reference for subsequent residual voltage analysis and system response curve morphology modeling.

[0038] Preferably, the determination of the second electrostatic discharge characteristic in step S1 includes: The second stage time of the ion fan is determined by the electrostatic response voltage data located in the middle and late stages of the continuous blowing of the fan. The decay segment of the second stage of the ion fan is extracted as the target observation interval. Within the interval, the voltage drop per unit time is calculated as the second voltage decay rate parameter. Based on the local range of each voltage sampling point within the target observation interval, the voltage fluctuation range is extracted as the second discharge stability parameter. Calculate the time delay for the voltage drop to enter a near-steady state, and record the voltage fluctuation range from that moment to the end of the test cycle as the second electrostatic discharge stabilization parameter. The second electrostatic discharge characteristics are determined by integrating the second voltage decay rate parameter, the second discharge stability parameter, and the second electrostatic margin release stability parameter.

[0039] In one embodiment, after acquiring the electrostatic response voltage data throughout the discharge process of the ion fan, the system uses the later period of the continuous blowing phase of the ion fan as the second stage time. Preferably, the second stage time is set to the interval from the 5th second to the 20th second after the fan starts. The system extracts the voltage sampling data within this time period, uses it as the target observation interval, and calculates the voltage drop amplitude per unit time during this period, which is 12.8V / s, defined as the second voltage decay rate parameter. To evaluate the stability of the discharge process, the system calculates the local range between voltage sampling points within this observation interval, finding that the voltage fluctuation range is between ±18V, which is used as the second discharge stability parameter. Analyzing the response time of the voltage curve as it drops to near a stable state, the system finds that the voltage enters a near-stable state at 17.2 seconds, a delay of approximately 12.2 seconds from the start of the fan. The voltage fluctuation amplitude range between 17.2 seconds and 20 seconds is recorded as ±5V, used as the second electrostatic margin release stability parameter. The system integrates the above three parameters to form a complete second electrostatic release characteristic, which is then combined with the first electrostatic release characteristic.

[0040] In another embodiment, to simulate the late-stage discharge characteristics of the ion fan under extreme high humidity testing scenarios, the system sets the second stage time of the ion fan to from the 10th to the 30th second and uses a custom response fitting algorithm for data optimization. During this stage, the voltage of the test panel gradually decreases from +340V to +80V. The system calculates the average voltage drop rate as 10.3V / s, extracting it as the second voltage decay rate parameter. To enhance the resolution of response characteristics, the system introduces a moving window range calculation method, solving for the range of the maximum and minimum values ​​of the sampling points within each second, obtaining an average voltage fluctuation range of ±12.5V, which is recorded as the second discharge stability parameter. The system defines a near-stable state as a voltage fluctuation less than ±5V for more than 3 seconds. Analysis shows that the voltage begins to meet this condition at 25.8 seconds, therefore the delay time is 15.8 seconds. Between 25.8 seconds and 30 seconds, the system detects that the voltage fluctuation range stabilizes at ±3.6V, which is used as the second electrostatic discharge stability parameter. The three parameters are weighted and fused into a second electrostatic discharge feature vector, for example, with a weight ratio of 3:2:1 (attenuation rate: stability: stability), to form a comprehensive discharge stability score. Simultaneously, this feature vector is used as a training sample input to the offline model to evaluate the response stability distribution of the ion fan under different environments.

[0041] Preferably, the ion fan's electrostatic removal performance parameters for generating the first neutralization time and the first residual voltage in step S3 are as follows: Within the first discharge response zone, based on the inflection point behavior of the voltage decrease rate curve in the voltage-time curve, the start and end times of the rapid decay process are determined, and the difference between the start and end times is taken as the first neutralization time. At the end of the neutralization process, the actual value of the electrostatic response voltage is obtained as the first residual voltage. The first stage of electrostatic removal performance vector is determined by using the first neutralization time and the first residual voltage, and the neutralization efficiency parameter of the ion fan is calculated by combining the output voltage data set during the test. The first-stage electrostatic removal performance parameters of the ion fan are generated based on the neutralization efficiency parameters of the ion fan.

[0042] In one embodiment, after the system controls the ion fan to start, it acquires a complete discharge response voltage change curve and identifies the voltage drop inflection point behavior during the rapid decay process. Specifically, the system locates the position T_start where the voltage begins to drop sharply and the position T_end where the drop tends to stabilize in the voltage curve, defines this time period as the first discharge response segment, and determines the time difference between T_end and T_start (e.g., 1.6 seconds) as the first neutralization time. At T_end, the system reads a voltage of +45V as the first residual voltage. The system combines the first neutralization time (1.8 seconds) with the first residual voltage (+30V) to generate a first-stage electrostatic discharge performance vector, and calculates the neutralization efficiency of the ion fan by combining the initial output voltage of the ion fan (set to +1000V) corresponding to this test:

[0043] The neutralization efficiency and neutralization time are used together as the electrostatic removal performance parameters of the first-stage ion fan for performance evaluation and classification.

[0044] In another embodiment, to improve recognition accuracy, the system smooths the voltage change process and automatically detects the start and end points of the rapid descent phase by analyzing the trend of the voltage change rate. For example, if the descent starts at 1.6 seconds and ends at 3.4 seconds, the corresponding first neutralization time is 1.8 seconds. When the voltage decreases and stabilizes, the system collects the current voltage value as the first residual voltage, for example, 30V. Furthermore, the system can assess whether there are abnormal fluctuations in the discharge during this descent phase based on the changing trend, to determine whether repeated testing is necessary. The system combines the neutralization time, residual voltage, and initial output voltage of this phase as key indicators into a power removal performance parameter to evaluate the power removal efficiency and stability of the wind turbine under the current test conditions.

[0045] Preferably, the ion fan electrostatic removal performance parameters for generating the second neutralization time and the second residual voltage in step S3 include: In the second discharge response section, the gradual decrease stage before the voltage stabilizes and the residual voltage holding stage are identified. When the voltage change rate approaches zero, the start and end boundary time points of the second stage are determined, the start and end time difference is calculated, and the second neutralization time is generated. The response voltage value is extracted at the end of the second neutralization time and defined as the second residual voltage. The charge dissipation equalization efficiency during the non-transient response phase is evaluated by combining the second neutralization time with the second residual voltage. By combining charge dissipation equalization efficiency, the smoothness and stability characteristics of voltage decay are identified through second-order derivative fitting analysis. The second stage of the ion fan's electrostatic removal performance parameters, including charge dissipation equalization efficiency, second residual voltage, and voltage decay smoothness and stability characteristics, were determined.

[0046] In one embodiment, the system identifies the second-stage discharge response data during testing, i.e., the gradual voltage drop segment where the voltage has decreased significantly but has not yet fully stabilized. The system detects the start and end times of the gradual decrease in the voltage change rate towards zero during this stage, and defines the time interval between these two times as the second neutralization time, for example, 2 seconds. The system extracts the voltage value at the end of this stage as the second residual voltage, for example, 10V. Based on the second neutralization time and the residual voltage value, the system calculates the charge dissipation equalization efficiency under the current test conditions and analyzes the entire decay process to identify whether there are fluctuations or abrupt changes in voltage, in order to extract the smoothness and stability characteristics of voltage decay. The system combines the second neutralization time, charge dissipation equalization efficiency, second residual voltage, and the smoothness characteristics of the voltage decay process to form the second-stage ion fan removal performance parameters, used to comprehensively characterize the fan's removal capability in the middle and later stages.

[0047] In another embodiment, the system can employ a multiple sampling averaging strategy to improve the accuracy of judging the second-stage neutralization process. For example, the slow voltage decrease phase occurs between the 6th and 8th seconds of the test. Based on multi-point detection confirming the start and end times of the voltage change rate approaching zero, the system determines the second neutralization time to be 2 seconds. In the last second of voltage stabilization, the system obtains a second residual voltage of 10V. When analyzing the continuity of voltage changes, the system performs trend fitting processing on the slow decrease process to identify any abnormal fluctuations or hysteresis phenomena, and uses this to extract parameters for the smoothness of voltage decay and response stability. This information collectively constitutes the power removal performance parameters of the second stage, used to evaluate the performance of the wind turbine in the non-rapid discharge phase.

[0048] Preferably, step S4 includes the following steps: Calculate the difference between the first neutralization time and the second neutralization time, and determine whether the time difference is within the preset time tolerance range; The first residual voltage and the second residual voltage are judged by voltage threshold to determine whether both are less than the set stable voltage threshold. If both of the above conditions are met, the current ion fan is deemed to have good discharge response consistency and mid-to-late stage charge dissipation stability during this test cycle, and the ion fan is deemed to be in a stable de-energization state. Control the ion fan to maintain its current output state and keep the fan blowing continuously until the set test cycle is completed; Simultaneously record the duration of this stable de-energized state and the corresponding environmental parameter data.

[0049] In one embodiment, the system calculates the difference between the obtained first and second neutralization times and determines whether the difference is within a tolerance range of ±0.8 seconds. If the first neutralization time in the current test data is 1.8 seconds and the second neutralization time is 2 seconds, then the difference is 0.2 seconds, which meets the set tolerance requirement. The system compares the first and second residual voltages to confirm whether both are less than a set stable voltage threshold, for example, a threshold set to 35V. If the first residual voltage is 28V and the second residual voltage is 10V, both are below the threshold, then both conditions are met. Based on this, the system determines that the ion fan's de-energizing response has good consistency and mid-to-late stage voltage stability in this round of testing, and therefore determines that the device has reached a stable de-energizing state. Subsequently, the system controls the fan to maintain the current output power and wind speed setting, continues to maintain the blowing state, and continues to run until the end of the entire test cycle (e.g., 2 seconds). Meanwhile, the system records the start and end times of this stable de-energized state (e.g., from the 12th to the 60th second) and synchronously records environmental parameters such as temperature and humidity during this period, serving as data support for subsequent analysis or comparative tests.

[0050] In another embodiment, to further enhance the system's accuracy in judging the consistency of power removal performance, the system can introduce a dynamic adaptive time tolerance mechanism to adjust the time tolerance range according to different test environment temperatures. For example, when the test environment temperature exceeds 30°C, the allowable time tolerance can be expanded to ±1 second to compensate for the influence of heat on the power removal speed. Assuming that in a high-temperature environment, the first neutralization time is 1.9 seconds and the second neutralization time is 3 seconds, the difference is 1.1 seconds, which is still valid within the expanded tolerance range; while the first residual voltage and the second residual voltage are 29V and 10V respectively, which are lower than the set high-temperature voltage threshold of 42V. Based on this, the system judges that the fan still maintains good response consistency under the current high-temperature state, automatically determines it as a stable power removal state, and enters the blowing maintenance stage. The system additionally records the environmental temperature and humidity range corresponding to the stable stage (e.g., temperature of 32°C and humidity of 58%) to construct the environmental adaptation boundary under stable maintenance conditions in subsequent test models.

[0051] The present invention also provides an analysis and processing system for ion fan test data, used to execute the analysis and processing method for ion fan test data as described above. The analysis and processing system for ion fan test data includes: The electrostatic discharge characteristic determination module is used to acquire the output voltage data of the ion fan tester and the electrostatic response data of the test plate within a preset test cycle; the first electrostatic discharge characteristic is determined based on the voltage drop behavior of the test electrostatic response data in the initial electrostatic removal stage, and the second electrostatic discharge characteristic is determined based on the slow voltage decay behavior of the test electrostatic response data in the residual electrostatic discharge stage. The discharge response segment identification module is used to identify the corresponding first discharge response segment and second discharge response segment on the ion fan tester based on the voltage drop rate difference between the first electrostatic discharge feature and the second electrostatic discharge feature, the remaining voltage amplitude, and the decay period. The ion fan static removal performance generation module is used to extract the response curve morphology parameters of the first discharge response segment and the second discharge response segment, and generate ion fan static removal performance parameters including the first neutralization time, the first residual voltage, the second neutralization time, and the second residual voltage. The stable de-energization state determination module is used to determine that the ion fan is in a stable de-energization state if the difference between the first neutralization time and the second neutralization time is within a preset tolerance range, and both the first residual voltage and the second residual voltage are lower than the set voltage threshold, and the fan continues to blow air until the end of the test cycle. The abnormal fluctuation determination module is used to determine that the ion fan's power removal performance has abnormal fluctuations if any item exceeds the tolerance range or voltage threshold. The test process is stopped immediately, the fan output is locked, the alarm module is triggered, and abnormal data including the current abnormal parameter value, response timestamp, and ambient temperature and humidity status are recorded. The abnormal data is then pushed to the background for traceability.

[0052] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features of the invention herein.

Claims

1. A method for analyzing and processing test data of an ion fan, characterized in that, The application is applied to an ion fan tester. The ion fan tester is used to electrify a test panel. The test panel is used to receive the electrostatic flow of the ion fan. The ion fan tester analyzes the electrostatic data of the test panel to analyze the electrostatic performance of the ion fan. The analysis and processing method of the ion fan test data includes the following steps: Step S1: obtaining the output voltage data of the ion fan tester and the electrostatic response data of the test panel within a preset test period; determining a first electrostatic discharge characteristic based on the voltage drop behavior of the test electrostatic response data in the initial electrostatic discharge stage, and determining a second electrostatic discharge characteristic based on the slow voltage decay behavior of the test electrostatic response data in the residual electrostatic discharge stage; Step S2: identifying the corresponding first discharge response section and second discharge response section on the ion fan tester according to the voltage drop rate difference between the first electrostatic discharge characteristic and the second electrostatic discharge characteristic, the residual voltage amplitude and the decay period; Step S3: extracting the response curve shape parameters of the first discharge response section and the second discharge response section, and generating ion fan electrostatic discharge performance parameters including first neutralization time, first residual voltage, second neutralization time and second residual voltage; Step S4: if the difference between the first neutralization time and the second neutralization time is within a preset tolerance range, and the first residual voltage and the second residual voltage are both lower than a set voltage threshold, it is determined that the ion fan is in a stable electrostatic discharge state, and the fan blowing condition is continued until the test period ends; Step S5: if any of the above exceeds the tolerance range or the voltage threshold, it is determined that the ion fan electrostatic discharge performance has abnormal fluctuation, the test process is immediately stopped, the fan output is locked, the alarm module is triggered, and the abnormal data including the current abnormal parameter value, the response timestamp and the environmental temperature and humidity state are recorded, and the abnormal data is pushed to the background trace.

2. The method of claim 1, wherein, The step S1 includes the following steps before obtaining the electrostatic response: Obtain the structure parameters of the ion fan test panel including size parameters and material parameters, wherein the size parameters include the surface area and the thickness of the test panel, and the material parameters include the dielectric constant and the surface resistivity of the test panel; Estimate the maximum static total amount that the test panel can bear by using the test panel dielectric constant and the size parameters; Estimate the charge distribution spatial uniformity according to the test panel surface resistivity and the size parameters; Determine the performance parameters of the test panel including the charge distribution spatial uniformity and the maximum static total amount that the test panel can bear; Control the test panel to perform the test panel pre-charging operation, evaluate the test panel electrostatic self-discharge capability, and if the test panel electrostatic self-discharge capability exceeds the preset test panel self-discharge threshold, perform interference evaluation on the test panel and perform correction processing.

3. The method of claim 2, wherein the method further comprises: The control of the test panel to perform the test panel pre-charging operation, the evaluation of the test panel electrostatic self-discharge capability, and if the test panel electrostatic self-discharge capability exceeds the preset test panel self-discharge threshold, the interference evaluation on the test panel and the correction processing, include: Control the test panel to perform the test panel pre-charging operation to form a test panel with a set initial voltage electrostatic load state; In the closed ion fan output state, the electrostatic response sensor is used to monitor the voltage decay of the test panel, and the electrostatic response voltage value of the test panel in the preset period is recorded continuously at the sampling frequency to obtain the natural discharge response of the test panel without external influence; Based on the natural discharge response of the test panel, the voltage decay rate per unit time, the decay starting time point and the initial voltage amplitude are determined to determine the first self-discharge characteristic parameter, and the residual voltage amplitude and voltage stable duration of the natural discharge response of the test panel are determined to determine the second self-discharge characteristic parameter; According to the voltage amplitude change, the duration and the response stability between the second self-discharge characteristic parameter and the first self-discharge characteristic parameter, the electrostatic self-discharge capability of the test panel is evaluated; If the electrostatic self-discharge capability of the test panel exceeds the preset test panel self-discharge threshold, the test panel is disturbed, the performance parameters of the test panel are attributed to the interference characteristics, and the electrostatic self-discharge interference correction is processed.

4. The method of claim 1, wherein, The step S1 before the electrostatic response acquisition includes: Collecting real-time temperature and real-time humidity data of the test environment of the ion fan tester, and judging whether the test environment temperature is higher than the preset temperature threshold, and whether the humidity is higher than the preset humidity threshold; If the temperature and humidity exceed the corresponding threshold, the control panel performs electrostatic pre-charging operation to obtain the discharge response data of the test panel in high temperature and high humidity environment; If the temperature and humidity are less than or equal to the threshold, the control panel performs electrostatic pre-charging operation under different temperature and humidity conditions to obtain the discharge response data set of the test panel under multiple temperature and humidity conditions; Based on the discharge response data set, the voltage decay curve shape parameters in each group of data are extracted, and the maximum voltage decay rate and the minimum voltage decay rate under different temperature and humidity conditions are determined respectively; According to the difference between the maximum voltage decay rate and the minimum voltage decay rate, the temperature and humidity interference index is calculated; Based on the temperature and humidity interference index, the minimum interference value of the environment temperature and humidity is extracted, and the temperature and humidity adjustment processing is performed on the test environment temperature and humidity.

5. The method of claim 1, wherein, The first electrostatic discharge feature determination in step S1 includes: Extracting the ion fan first stage time at the initial stage of ion fan start; Identify the voltage change value of the test electrostatic response data in the first stage time of the ion fan; Calculate the unit time voltage change amplitude of the voltage change value in the first stage time, and determine the first voltage release impact feature with the maximum change amplitude; Draw the voltage decay curve using the voltage change value, and determine the voltage response peak identification point; Determine the first electrostatic release feature based on the voltage response peak identification point and the first voltage release impact feature.

6. The method of claim 1, wherein, The second electrostatic release feature determination in step S1 includes: Determine the ion fan second stage time in the late stage of the fan continuous blowing in the electrostatic response voltage data; Extract the decay section of the ion fan second stage time as the target observation interval, and calculate the unit time voltage drop amplitude in the interval as the second voltage decay rate parameter; Based on the local range of each voltage sampling point in the target observation interval, the voltage fluctuation range is extracted as the second discharge stability parameter; The time delay value of voltage drop into the near stable state is calculated, and the voltage fluctuation amplitude interval from this time to the end of the test period is recorded as the second electrostatic margin release smoothness parameter; The second electrostatic discharge characteristic is determined by fusing the second voltage decay rate parameter, the second discharge stability parameter and the second electrostatic margin release smoothness parameter.

7. The method of claim 1, wherein the method further comprises: The ion fan destaticization performance parameter of the first neutralization time and the first residual voltage generated in step S3 is specifically: In the first discharge response section, the starting time and the ending time of the rapid decay process are determined according to the inflection point behavior of the voltage drop rate curve in the voltage-time curve, and the time difference between the starting time and the ending time is taken as the first neutralization time; The actual value of the electrostatic response voltage at the end of the neutralization is taken as the first residual voltage; The first stage destaticization performance vector is determined by using the first neutralization time and the first residual voltage, and the output voltage data set during the test is used to calculate the neutralization efficiency parameter of the ion fan; The first stage ion fan destaticization performance parameter is generated based on the neutralization efficiency parameter of the ion fan.

8. The method of claim 1, wherein, The ion fan destaticization performance parameter of the second neutralization time and the second residual voltage generated in step S3 includes: In the second discharge response section, the slow decline stage before the voltage tends to be stable and the residual voltage maintaining stage are identified, the starting and ending boundary time points of the second stage are determined when the voltage change rate approaches zero, the time difference between the starting and ending points is calculated to generate the second neutralization time; The response voltage value at the end of the second neutralization time is extracted and defined as the second residual voltage; The charge dissipation balance efficiency of the non-instantaneous response stage is evaluated in combination with the second neutralization time and the second residual voltage; The voltage decay smoothness and stability characteristics are identified through second derivative fitting analysis in combination with the charge dissipation balance efficiency; The second stage ion fan destaticization performance parameter including the charge dissipation balance efficiency, the second residual voltage and the voltage decay smoothness and stability characteristics is determined.

9. The method of claim 1, wherein, The following steps are included in step S4: The first neutralization time and the second neutralization time are calculated by difference, and it is judged whether the time difference is within a preset time tolerance range; The first residual voltage and the second residual voltage are respectively judged by voltage threshold value, and it is determined whether both are less than the set stable voltage threshold value; If the above two determination conditions are met, it is determined that the current ion fan has good discharge response consistency and charge dissipation stability in the later stage in the current test period, and it is determined that the ion fan is in a stable destaticization state; The ion fan is controlled to maintain the current output state, and the fan is maintained in the blowing condition until the set test period is completed; The maintenance time of the stable destaticization state and the corresponding environmental parameter data are recorded at the same time.

10. An ion fan test data analysis processing system, characterized by, The analysis processing method of ion fan test data is used to execute the ion fan test data analysis processing system as claimed in claim 1, which comprises: An electrostatic discharge characteristic determination module is used to acquire the output voltage data of the ion fan tester and the electrostatic response data of the test panel within a preset test period; the first electrostatic discharge characteristic is determined based on the voltage drop behavior of the test electrostatic response data in the initial destaticization stage, and the second electrostatic discharge characteristic is determined based on the slow voltage decay behavior of the test electrostatic response data in the residual electrostatic discharge stage; The discharge response section identification module is configured to identify corresponding first and second discharge response sections on the ion fan tester according to a voltage drop rate difference between the first and second electrostatic discharge characteristics, a residual voltage amplitude, and a decay period. The ion fan destaticization performance generation module is configured to extract response curve shape parameters of the first and second discharge response sections, and generate ion fan destaticization performance parameters including a first neutralization time, a first residual voltage, a second neutralization time, and a second residual voltage. The stable destaticization state determination module is configured to determine that the ion fan is in a stable destaticization state if a difference between the first and second neutralization times is within a preset tolerance range, and the first and second residual voltages are both lower than a set voltage threshold, and continue to maintain the fan blowing condition until the test period ends. The abnormal fluctuation determination module is configured to determine that the ion fan destaticization performance has an abnormal fluctuation if any of the parameters exceeds the tolerance range or the voltage threshold, immediately stop the test process, lock the fan output, trigger the alarm module, record abnormal data including a current abnormal parameter value, a response time stamp, and an environmental temperature and humidity state, and push the abnormal data to the background trace.

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