A data processing method, system and storage medium for WCM-2000 water content measuring equipment

Abstract

A data processing method and system for WCM-2000 water content measuring equipment and a storage medium belong to the technical field of aircraft icing environment measurement and icing wind tunnel test data processing. The present application establishes a real-time acquisition, preheating stability judgment, low-pass filtering, multi-time window steady-state estimation, multi-probe consistency verification and result state management process based on the standard data sentence output by WCM-2000. Specifically, before sampling, the power box temperature and equipment state quantity are used for preheating stability judgment, and the output result is marked as invalid before the stable condition is reached; in the real-time acquisition stage, the LabVIEW post-processing program is used to establish TCP communication with WCM-2000 to analyze the device output data; the collected data is low-pass filtered to reduce noise; the filtered data is respectively processed by 30s, 60s and 300s time window averaging to form steady-state estimation results under different time scales; further, the measurement results of multiple acquisition probes under the same working condition are used for consistency verification, and when the multi-probe deviation meets the preset range, the result is recognized.

Description

Technical Field

[0001] This invention belongs to the field of aircraft icing test and icing environment parameter measurement technology, specifically involving a data processing method and system for WCM-2000 water content measurement equipment, and more particularly involving a method for real-time processing, steady-state estimation, multi-probe consistency verification and result status management of WCM-2000 measurement data applicable to low temperature, low speed and crosswind fluctuation conditions, as well as a data processing system built based on this method. Background Technology

[0002] In aircraft natural icing airworthiness verification, icing wind tunnel tests, icing environment simulation and related scientific research experiments, liquid water content (LWC) is an important indicator for describing cloud and fog parameters. Its measurement accuracy and stability directly affect the establishment of icing test conditions, the judgment of icing results and the reliability of test data.

[0003] The WCM-2000 is a multi-element thermal moisture content measurement device used in aircraft and wind tunnel environments. It can be used to measure parameters such as liquid water content and total water content. This type of device typically obtains moisture content information through the thermal equilibrium changes of heating and compensation elements, and features fast response and wide applicability. However, in practical engineering applications, especially in icing wind tunnel environments, the WCM-2000's measurement results are easily affected by factors such as low-temperature start-up, low-velocity airflow, local crosswinds, uneven spray, and probe installation conditions.

[0004] First, in low-temperature environments, the power supply box and related thermal control units of the equipment experience a certain startup delay, and the initial stage after power-on is often in an insufficiently preheated state. If the measurement results are used for formal recording or steady-state statistics before preheating is complete, significant drift and systematic errors can easily be introduced.

[0005] Secondly, under lower incoming flow velocities, the local flow field around the probe is more susceptible to factors such as flow inhomogeneity in the test section, installation location, and local backflow, leading to short-term fluctuations in the measured values. This problem is particularly pronounced in mobile icing wind tunnels or complex spray platforms.

[0006] Furthermore, when there is crosswind, flow direction shift, or localized uneven spraying in the test section, the water content signal output by the WCM-2000 acquisition probe will show significant fluctuations. Such fluctuations may not all originate from instrument errors, but they will directly affect the test personnel's judgment on whether the current operating conditions are stable, whether the data is usable, and whether the results from multiple probes are consistent.

[0007] Currently, most work on the use of WCM-2000 or similar thermal moisture content measurement equipment focuses on the measurement principle, routine operation and calibration of the equipment itself. However, the post-processing methods for data under complex icing wind tunnel conditions are mostly based on empirical averaging or manual interpretation. Existing solutions generally have the following shortcomings: (1) The preheating stage lacks a clear stability judgment logic, which makes the data in the preheating stage easy to be misused; (2) There is no unified data processing link between real-time acquisition, analysis, filtering, averaging calculation and status output, which makes it difficult to deploy stably in real-time systems such as LabVIEW; (3) Although the average values ​​of multiple time scales such as 30s, 60s and 300s are actually used in engineering, there is a lack of systematic and standardized processing expression; (4) The comparison of multiple probes relies heavily on manual experience and lacks a standardized consistency verification process and a result status management mechanism such as valid, warning and invalid results.

[0008] Therefore, there is an urgent need to propose a WCM-2000 data processing method and system that is structurally clear, simple to implement, suitable for real-time deployment, and conforms to engineering usage habits, in order to solve the problems of large fluctuations in measurement results, difficulty in usability determination, and inconsistent standards for accepting multi-probe results under complex working conditions such as low temperature, low speed, and crosswind. Summary of the Invention

[0009] The purpose of this invention is to provide a data processing method and system for improving the measurement stability and engineering usability of WCM-2000 under low temperature, low speed and crosswind conditions, so that while meeting the requirements of real-time output, it has the capabilities of preheating stability judgment, invalid data shielding, real-time acquisition and analysis, fixed parameter low-pass filtering, multi-time window steady-state estimation, multi-probe consistency verification and result status management.

[0010] This invention does not employ highly complex algorithms such as adaptive fusion, complex disturbance identification and elimination, and low-speed reliability scoring. Instead, it focuses on a processing link that can be directly implemented in engineering. Through clear stage division and status output mechanism, it improves the stability, repeatability, and traceability of WCM-2000 results under complex icing wind tunnel conditions.

[0011] The technical solution adopted by the present invention to solve the above-mentioned technical problems is as follows:

[0012] A data processing method for a WCM-2000 water content measurement device includes the following steps:

[0013] S1. Before formal sampling, start the WCM-2000 water content measuring device and its matching power supply box to preheat the WCM-2000 water content measuring device, and collect the power supply box temperature and device working status data. Based on the power supply box temperature and device working status data, determine whether the WCM-2000 water content measuring device has reached the preset stability conditions.

[0014] S2. When the WCM-2000 water content measuring device fails to meet the preset stability conditions, the current measurement data or measurement result is marked as preheating or invalid, and it is prohibited from participating in subsequent low-pass filtering, multi-time window steady-state estimation and formal result recording.

[0015] S3. When the WCM-2000 water content measuring device reaches the preset stable condition, a communication connection is established with the WCM-2000 water content measuring device through the host computer program, the standard data sentences output by it are received in real time, and the standard data sentences are parsed line by line and timestamp recorded to form a unified data structure.

[0016] S4. Perform low-pass filtering on the water content data or intermediate quantities used to calculate water content in the unified data structure with preset parameters to obtain the filtered water content time series.

[0017] S5. Based on the filtered water content time series, at least two sliding time windows with different time scales are established in parallel, and the average water content within each sliding time window is calculated to obtain the steady-state estimation results at different time scales.

[0018] S6. When there are multiple acquisition probes under the same working conditions, perform consistency verification based on the steady-state estimation results corresponding to the multiple acquisition probes, and output a valid state, warning state or invalid state according to the consistency verification results.

[0019] Preferably, in step S1, the preset stability conditions include: the temperature of the power supply box reaches a preset temperature range and remains stable within a preset duration, and the working status of the WCM-2000 water content measuring device does not show any communication abnormalities, power supply abnormalities, heating abnormalities, or data output abnormalities.

[0020] Preferably, in step S2, the data frames corresponding to the preheating state or invalid state are retained with timestamps and device status records, but are not included in the calculation of the steady-state average water content; when the subsequently collected data meets the preset stability conditions again, they are reintroduced into the formal sampling and processing process.

[0021] Preferably, in step S3, the communication connection is a TCP communication connection or a UDP subscription connection, the host computer program is a LabVIEW post-processing program, and the standard data sentence is an ASCII format data sentence output by the WCM-2000 water content measurement device; the unified data structure includes at least one or more of the following: sampling time, water content data or intermediate quantities used to calculate water content, device status quantities, and data validity identifiers; when communication interruption, data format error, field missing, value out of bounds, or parsing failure occurs, the measurement result corresponding to the current data frame is marked as invalid.

[0022] Preferably, in step S4, the fixed-parameter low-pass filtering process takes the following form: in, This refers to the water content data collected at time k or an intermediate value used to calculate the water content. This is the filtered output value at time k. The output value after filtering at time k-1 is α, which is a fixed filtering coefficient, and 0 < α < 1. The fixed filtering coefficient is preset according to the equipment characteristics and operating conditions before the test and remains unchanged under the same test mode.

[0023] Preferably, in step S5, the average water content within any sliding time window is calculated as follows: in, This represents the average water content over a time window of length T corresponding to time t, where T can be 30s, 60s, or 300s. This refers to the filtered water content data within the i-th time window. This represents the number of valid data points within the time window.

[0024] Preferably, in step S5, the at least two sliding time windows with different time scales include 30s, 60s, and 300s sliding time windows; wherein, the average value corresponding to the 30s sliding time window is used for real-time monitoring, the average value corresponding to the 60s sliding time window is used for general operating condition recording, and the average value corresponding to the 300s sliding time window is used for final confirmation of steady-state operating conditions; the steady-state estimation results of the 30s, 60s, and 300s sliding time windows are output simultaneously, or the steady-state estimation result of one of the time windows is selected as the main output result according to a preset rule.

[0025] Preferably, in step S6, the consistency verification includes calculating at least one of the absolute deviation, relative deviation, and range among multiple acquisition probes, wherein:

[0026] Absolute deviation:

[0027]

[0028] Relative deviation:

[0029]

[0030] Range:

[0031]

[0032] Among them, and and These are the steady-state estimation results for the i-th and j-th acquisition probes, respectively. The system uses the water content value, the average of the steady-state estimation results of multiple acquisition probes, or the steady-state estimation result of a specified benchmark acquisition probe as a reference. When the steady-state estimation results of multiple acquisition probes all meet the preset threshold range, a valid state is output. When only the steady-state estimation result of an individual acquisition probe exceeds the preset threshold range and the remaining acquisition probes meet the preset threshold range, the individual acquisition probe is isolated and a warning state is output. When the overall deviation among multiple acquisition probes exceeds the preset threshold range, an invalid state is output.

[0033] A data processing system for a WCM-2000 water content measurement device includes: a preheating and stability assessment module, an invalid data shielding module, a real-time acquisition and analysis module, a low-pass filtering module, a multi-time-window steady-state estimation module, a multi-probe consistency verification module, a status management module, a data storage module, and a result display and recording module.

[0034] The preheating and stability determination module is used to collect the power box temperature and equipment operating status of the WCM-2000 water content measuring device, and to determine whether the WCM-2000 water content measuring device has reached the preset stability conditions.

[0035] The invalid data masking module is used to mark the current measurement data or measurement result as a preheating state or an invalid state when the preset stability condition is not met, and to prohibit it from participating in subsequent low-pass filtering, multi-time window steady-state estimation and formal result recording.

[0036] The real-time acquisition and parsing module is used to receive and parse the standard data sentences output by the WCM-2000 water content measuring device to form a unified data structure.

[0037] The low-pass filter module is used to perform low-pass filtering on water content data or intermediate quantities used to calculate water content using preset parameters.

[0038] The multi-time-window steady-state estimation module is used to calculate the average water content within at least two sliding time windows of different time scales in parallel.

[0039] The multi-probe consistency verification module is used to calculate the deviation and judge the consistency of the steady-state estimation results of multiple acquisition probes under the same working condition.

[0040] The status management module is used to output a valid status, a warning status, an invalid status, or a preheating status based on the processing results of each module.

[0041] The data storage module is used to store raw data, filtered data, multi-time window averages, status indicators, and log records.

[0042] The result display and recording module is used to display and record measurement results, real-time curves, values, and status information.

[0043] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the data processing method for a WCM-2000 water content measuring device.

[0044] The beneficial effects of this invention are as follows:

[0045] 1. This invention does not rely on complex models and high-order adaptive algorithms. It can form a complete processing chain simply by preheating and stabilization, invalid data masking, fixed filtering, hierarchical mean and consistency verification, which is suitable for rapid engineering deployment.

[0046] 2. It can effectively avoid misuse of data during the preheating stage. By setting the preheating stability assessment as a prerequisite step and prohibiting the results from entering steady-state statistics before stability assessment, the systematic bias introduced during the low-temperature start-up stage can be significantly reduced.

[0047] 3. Balancing real-time display and steady-state recording. By using parallel averaging processing with three time windows of 30s, 60s, and 300s, it can simultaneously meet the needs of real-time observation, short-term stability assessment, and final steady-state recording.

[0048] 4. Enhance engineering reliability under complex operating conditions. Even under conditions of low speed, crosswinds, and significant fluctuations, this invention can still reduce the impact of short-term fluctuations through fixed low-pass filtering and multi-time-window averaging, thereby improving the stability and readability of the results.

[0049] 5. Achieve results usability management. By implementing multi-probe consistency verification and a valid, warning, invalid, and preheating status output mechanism, the traditional data acceptance process that relies on manual experience is standardized and proceduralized, facilitating test organization and quality control. Attached Figure Description

[0050] Figure 1 This is a schematic diagram of the overall flow of the data processing method of the present invention;

[0051] The figure illustrates the overall processing relationship between preheating and stability assessment, invalid data masking, real-time acquisition and analysis, low-pass filtering, multi-time-window steady-state estimation, multi-probe consistency verification, and result output and recording.

[0052] Figure 2 This is a flowchart of the multi-probe consistency verification process of the present invention;

[0053] The figure illustrates the process of calculating deviations, determining thresholds, isolating abnormal probes, and outputting valid, warning, or invalid statuses for steady-state estimation results from multiple acquisition probes under the same operating conditions.

[0054] Figure 3 This is a schematic diagram of the structure and data flow of the WCM-2000 data processing system of the present invention;

[0055] The diagram shows the connection relationships between the WCM-2000 acquisition probe, power supply box, host computer, data processing system, data storage module, and measurement result display and recording. Detailed Implementation

[0056] The present invention will be further illustrated below with reference to specific embodiments. It should be understood that these embodiments are for illustrative purposes only and are not intended to limit the scope of the invention. After reading the present invention, any modifications of the present invention in various equivalent forms by those skilled in the art will fall within the scope defined by the appended claims.

[0057] Specific Implementation Method 1: Real-time Processing Implementation Method for a Single WCM-2000 System

[0058] In this embodiment, a WCM-2000 device was used to measure the liquid water content. The test environment was a mobile icing wind tunnel with a temperature range of 0℃ to −15℃, a wind speed of 10m / s in the test section, and some crosswind influence. Because the probe signal fluctuates significantly under these conditions, a method was employed... Figure 1 The data processing method shown is used for real-time processing.

[0059] First, start the WCM-2000 and its power supply box. Considering the delayed start-up of the power supply box in low-temperature environments, it needs to be preheated before formal sampling. The system reads the power supply box temperature, power supply status, heating status, and device operating status in real time. When the power supply box temperature reaches the preset temperature range and remains stable for a preset duration, and no abnormalities are observed in the relevant device status quantities, the device is determined to be in a sampling state. Before this, the system only outputs a preheating status or an invalid status, does not record the formal measurement results, and does not include the data from this stage in the subsequent steady-state average.

[0060] Once the device reaches the preset stability conditions, the current data is allowed to enter the formal sampling and processing flow. A host computer communication program is written using LabVIEW to connect to the WCM-2000 output port via TCP and continuously read standard ASCII data sentences output by the device. The program parses the device output sentences line by line and adds a local timestamp to the parsed data for subsequent unified processing and historical recording. If communication interruption, data format error, missing field, out-of-bounds value, or parsing failure occurs, the current data frame is directly marked as invalid.

[0061] Real-time collected moisture content data or intermediate values ​​used for moisture content calculation are subjected to fixed-parameter low-pass filtering. The filtering parameters are determined before the experiment based on historical operating conditions and noise levels, and remain unchanged in the same type of experiment. This step weakens high-frequency fluctuations, reduces the impact of short-period disturbances on instantaneous results, and makes subsequent mean calculations more stable.

[0062] A 30s, 60s, and 300s sliding time window is simultaneously established for the filtered time series, and the average value of each time window is calculated. The 30s average value is used for real-time monitoring and faster response; the 60s average value is used for recording general operating conditions; and the 300s average value is used for final confirmation of steady-state operating conditions. In this embodiment, the system can display three sets of results simultaneously; alternatively, according to the pre-set parameters of the experimenter, the 60s average value can be used as the default main display result, and the 300s average value can be used as the final recorded result. This process does not perform dynamic weighting, nor does it adaptively fuse results from different windows.

[0063] Example 2: Implementation Method for Multi-Probe Consistency Verification

[0064] In this embodiment, multiple WCM-2000 acquisition probes are continuously deployed under the same operating condition to measure the same icing wind tunnel spray condition. Each probe performs preheating stability assessment, invalid data masking, real-time acquisition and analysis, low-pass filtering, and multi-time-window steady-state estimation according to Embodiment 1.

[0065] like Figure 2 As shown, the system first acquires the steady-state estimation results from multiple acquisition probes under the same operating condition. The steady-state estimation results can be the average value over a 60s sliding time window or the average value over a 300s sliding time window. To ensure effective comparison, each acquisition probe uses consistent data processing parameters, time window lengths, and valid data determination rules.

[0066] Assuming the average results from the three acquisition probes within the same window are L1, L2, and L3, the system can calculate at least one of the following consistency indices:

[0067] Absolute deviation:

[0068]

[0069] Relative deviation:

[0070]

[0071] Range:

[0072]

[0073] in, It can be the average of the steady-state estimation results from multiple acquisition probes, or it can be the steady-state estimation result from a preset reference probe.

[0074] If the deviation between all probe results is within the preset allowable range, the results of this working condition are considered to be of good consistency, and a valid status is output. If only a few probes have deviations exceeding the limit, while the remaining probes meet the preset threshold range, the individual probes are identified as abnormal probes, isolated, and a warning status is output based on the results of the remaining probes. If the overall deviation between multiple probes exceeds the preset threshold range and a reliable result cannot be formed, the current working condition result is output as invalid, and a prompt is made to recheck the probe installation status, spray uniformity, communication status, or to recalibrate the cloud and fog field.

[0075] This implementation method can proceduralize and standardize the process of judging whether the results of multiple probes are within the allowable error range, which originally relied on human experience, thereby improving the consistency, traceability and quality control capabilities of the test process.

[0076] Example 3: Implementation of the WCM-2000 Data Processing System

[0077] like Figure 3 As shown, this embodiment provides a WCM-2000 data processing system. The system includes a WCM-2000 acquisition probe, a power supply box, a host computer, and a data processing system integrated within the host computer. The WCM-2000 acquisition probe outputs standard ASCII data sentences to the host computer; the power supply box is associated with the acquisition probe in terms of power supply and status, and provides the host computer with information such as temperature, power supply, heating, and device status; the host computer runs a LabVIEW post-processing program and sends the real-time data stream to the data processing system.

[0078] The data processing system internally comprises, in sequence, a preheating and stability assessment module, an invalid data masking module, a real-time acquisition and analysis module, a low-pass filtering module, a multi-time-window steady-state estimation module, a multi-probe consistency verification module, and a state management module. Each module is configured according to... Figure 3 The data flow direction shown is connected, and data interaction occurs with the data storage module.

[0079] The preheating and stabilization module receives power supply box temperature and equipment status information to determine whether the equipment has reached the preset stabilization conditions; the invalid data shielding module marks the validity of data based on the preheating and stabilization results, communication status, and data parsing results; the real-time acquisition and parsing module parses the standard data sentences output by WCM-2000 and forms a unified data structure; the low-pass filtering module performs fixed-parameter low-pass filtering on water content data or intermediate quantities; the multi-time-window steady-state estimation module performs 30s, 60s, and 300s sliding time window averaging calculations on the filtered water content time series; the multi-probe consistency verification module performs consistency judgment on the steady-state estimation results of multiple acquisition probes under the same operating conditions; and the status management module outputs valid, warning, invalid, or preheating status.

[0080] The data storage module synchronously saves raw data, parsed unified data structure, filtered data, multi-time window averages, probe consistency verification results, status indicators, and log records. The measurement result display and recording module displays real-time curves, values, and statuses, and generates traceable test records.

[0081] The above system can be deployed on a single host computer or in a distributed acquisition and post-processing environment as needed at the test site. The communication method, filtering parameters, time window length, threshold range, and status output format can all be pre-configured according to the specific test procedures.

[0082] The computer-readable storage medium of the present invention can be any form of storage medium that can be read by the processor of a computer device, including but not limited to non-volatile memory, volatile memory, ferroelectric memory, etc. The computer-readable storage medium stores a computer program. When the processor of the computer device reads and executes the computer program stored in the memory, the steps of the above-described data processing method for a WCM-2000 water content measuring device can be implemented.

[0083] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art can make various improvements, substitutions, or combinations to the above embodiments without departing from the concept of the present invention, and all such improvements, substitutions, or combinations should fall within the protection scope of the present invention.

Claims

1. A data processing method for a WCM-2000 water content measuring device, characterized in that, The steps include the following: S1. Before formal sampling, start the WCM-2000 water content measuring device and its matching power supply box to preheat the WCM-2000 water content measuring device, and collect the power supply box temperature and device working status data. Based on the power supply box temperature and device working status data, determine whether the WCM-2000 water content measuring device has reached the preset stability conditions. S2. When the WCM-2000 water content measuring device fails to meet the preset stability conditions, the current measurement data or measurement result is marked as preheating or invalid, and it is prohibited from participating in subsequent low-pass filtering, multi-time window steady-state estimation and formal result recording. S3. When the WCM-2000 water content measuring device reaches the preset stable condition, a communication connection is established with the WCM-2000 water content measuring device through the host computer program, the standard data sentences output by it are received in real time, and the standard data sentences are parsed line by line and timestamp recorded to form a unified data structure. S4. Perform low-pass filtering on the water content data or intermediate quantities used to calculate water content in the unified data structure with preset parameters to obtain the filtered water content time series. S5. Based on the filtered water content time series, at least two sliding time windows with different time scales are established in parallel, and the average water content within each sliding time window is calculated to obtain the steady-state estimation results at different time scales. S6. When there are multiple acquisition probes under the same working conditions, perform consistency verification based on the steady-state estimation results corresponding to the multiple acquisition probes, and output a valid state, warning state or invalid state according to the consistency verification results.

2. The data processing method for a WCM-2000 water content measuring device according to claim 1, characterized in that, In step S1, the preset stability conditions include: the temperature of the power supply box reaches a preset temperature range and remains stable within a preset duration, and the working status of the WCM-2000 water content measuring device does not show any communication abnormalities, power supply abnormalities, heating abnormalities, or data output abnormalities.

3. The data processing method for a WCM-2000 water content measuring device according to claim 1, characterized in that, In step S2, the data frames corresponding to the preheating state or invalid state are retained with timestamps and device status records, but are not included in the calculation of the steady-state average water content; when the subsequent collected data meets the preset stability conditions again, they are reintroduced into the formal sampling and processing process.

4. The data processing method for a WCM-2000 water content measuring device according to claim 1, characterized in that, In step S3, the communication connection is a TCP communication connection or a UDP subscription connection, the host computer program is a LabVIEW post-processing program, and the standard data sentence is an ASCII format data sentence output by the WCM-2000 water content measurement device; the unified data structure includes at least one or more of the following: sampling time, water content data or intermediate quantities used to calculate water content, device status quantities, and data validity identifiers; when communication interruption, data format error, field missing, value out of bounds, or parsing failure occurs, the measurement result corresponding to the current data frame is marked as invalid.

5. The data processing method for a WCM-2000 water content measuring device according to claim 1, characterized in that, In step S4, the fixed-parameter low-pass filtering process takes the following form: in, This refers to the water content data collected at time k or an intermediate value used to calculate the water content. This is the filtered output value at time k. The output value after filtering at time k-1 is α, which is a fixed filtering coefficient, and 0 < α < 1. The fixed filtering coefficient is preset according to the equipment characteristics and operating conditions before the test and remains unchanged under the same test mode.

6. The data processing method for a WCM-2000 water content measuring device according to claim 1, characterized in that, In step S5, the average water content within any sliding time window is calculated as follows: in, This represents the average water content over a time window of length T corresponding to time t, where T can be 30s, 60s, or 300s. This refers to the filtered water content data within the i-th time window. This represents the number of valid data points within the time window.

7. The data processing method for a WCM-2000 water content measuring device according to claim 1, characterized in that, In step S5, the at least two sliding time windows with different time scales include 30s, 60s, and 300s sliding time windows; wherein, the average value corresponding to the 30s sliding time window is used for real-time monitoring, the average value corresponding to the 60s sliding time window is used for general operating condition recording, and the average value corresponding to the 300s sliding time window is used for final confirmation of steady-state operating conditions; the steady-state estimation results of the 30s, 60s, and 300s sliding time windows are output simultaneously, or the steady-state estimation result of one of the time windows is selected as the main output result according to a preset rule.

8. The data processing method for a WCM-2000 water content measuring device according to claim 1, characterized in that, In step S6, the consistency verification includes calculating at least one of the absolute deviation, relative deviation, and range among multiple acquisition probes, wherein: Absolute deviation: Relative deviation: Range: Among them, and and These are the steady-state estimation results for the i-th and j-th acquisition probes, respectively. The system uses the water content value, the average of the steady-state estimation results of multiple acquisition probes, or the steady-state estimation result of a specified benchmark acquisition probe as a reference. When the steady-state estimation results of multiple acquisition probes all meet the preset threshold range, a valid state is output. When only the steady-state estimation result of an individual acquisition probe exceeds the preset threshold range and the steady-state estimation results of the remaining acquisition probes meet the preset threshold range, the individual acquisition probe is isolated and a warning state is output. When the overall deviation among multiple acquisition probes exceeds the preset threshold range, an invalid state is output.

9. A data processing system for a WCM-2000 water content measuring device, characterized in that, include: The system includes a preheating and stability assessment module, an invalid data masking module, a real-time acquisition and analysis module, a low-pass filtering module, a multi-time-window steady-state estimation module, a multi-probe consistency verification module, a status management module, a data storage module, and a result display and recording module. The preheating and stability determination module is used to collect the power box temperature and equipment operating status of the WCM-2000 water content measuring device, and to determine whether the WCM-2000 water content measuring device has reached the preset stability conditions. The invalid data masking module is used to mark the current measurement data or measurement result as a preheating state or an invalid state when the preset stability condition is not met, and to prohibit it from participating in subsequent low-pass filtering, multi-time window steady-state estimation and formal result recording. The real-time acquisition and parsing module is used to receive and parse the standard data sentences output by the WCM-2000 water content measurement device to form a unified data structure. The low-pass filter module is used to perform low-pass filtering on water content data or intermediate quantities used to calculate water content using preset parameters. The multi-time-window steady-state estimation module is used to calculate the average water content within at least two sliding time windows of different time scales in parallel. The multi-probe consistency verification module is used to calculate the deviation and judge the consistency of the steady-state estimation results of multiple acquisition probes under the same working condition. The status management module is used to output a valid status, a warning status, an invalid status, or a preheating status based on the processing results of each module. The data storage module is used to store raw data, filtered data, multi-time window averages, status indicators, and log records. The result display and recording module is used to display and record measurement results, real-time curves, values, and status information.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the data processing method for the WCM-2000 water content measuring device as described in any one of claims 1 to 8.

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