Prefabricated cabin delivery automation test process control method and system

Abstract

The invention relates to the technical field of test control, in particular to a prefabricated cabin delivery automation test process control method and system. The method comprises the following steps: acquiring current operation characteristic parameters and automatic test parameters of the non-standard component in the prefabricated cabin; identifying the current operation characteristic parameters of the non-standard component by using a preset disturbance characteristic set, and determining an instantaneous disturbance state; determining a disturbance compensation control parameter according to the current operation characteristic parameter and the instantaneous disturbance state; after the disturbance compensation control parameters are sent to a power supply adjusting system, a confirmation signal of the power supply adjusting system is responded, the automatic test parameters are used for testing the prefabricated cabin, and a prefabricated cabin test report is obtained. The objective of the invention is to solve the problem of low test efficiency and reliability caused by misjudgment of a test result of a non-standard assembly in a prefabricated cabin delivery test.

Description

Technical Field

[0001] This invention relates to the field of test control technology, specifically to a method and system for controlling the automated testing process of prefabricated cabins before they leave the factory. Background Technology

[0002] In the manufacturing process of prefabricated modules used in data centers or mobile substations, the modules undergo comprehensive testing of their functionality, electrical performance, and safety indicators before leaving the factory. Currently, after moving from the end of the production line to a dedicated testing station, testing begins. A robotic arm of the testing system connects the module's main power input, communication bus, and cooling system piping. The central controller retrieves the corresponding standard test procedures from the database based on the scanned module model barcode and initiates tests item by item in a preset sequence. The internal power distribution unit, temperature control system, fire alarm device, and data monitoring module are then functionally verified sequentially. Existing testing relies on manual, segmented operations, leading to problems such as poor process integration, accumulated parameter setting errors, and delayed abnormal response, resulting in long testing cycles and fluctuating quality.

[0003] Meanwhile, when testing prefabricated cabins with different production configurations, when a non-standard prefabricated cabin enters the testing station, the existing testing system, although able to identify its basic model, cannot find a pre-set testing procedure that matches the non-standard configuration. This leads to the termination of the entire testing process, and in the final report, multiple components that are functionally sound and have passed previous tests are marked as unqualified, resulting in confusion in subsequent tests. Furthermore, testing non-standard components is prone to instantaneous disturbances, which can affect other sensitive standard components, leading to misjudgments in test results. This reduces testing reliability and increases the burden of manual troubleshooting, resulting in low efficiency in testing prefabricated cabins. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for controlling the automated testing process of prefabricated modules at the factory, which solves the problem of misjudgment of test results for non-standard components during the testing of prefabricated modules at the factory, resulting in low testing efficiency and reliability.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: a method for controlling the automated testing process of prefabricated modules before they leave the factory, comprising:

[0006] Obtain the current operating characteristic parameters and automated test parameters of non-standard components in the prefabricated cabin;

[0007] By using a preset set of disturbance features, the current operating characteristic parameters of the non-standard components are identified to determine the instantaneous disturbance state;

[0008] Based on the current operating characteristic parameters and the instantaneous disturbance state, determine the disturbance compensation control parameters;

[0009] After the disturbance compensation control parameters are sent to the power conditioning system, in response to the confirmation signal from the power conditioning system, the prefabricated cabin is tested using the automated test parameters to obtain a prefabricated cabin test report.

[0010] Preferably, the step of identifying the current operating characteristic parameters of the non-standard component and determining the instantaneous disturbance state using a preset disturbance feature set includes:

[0011] The current operating characteristic parameters of the non-standard components are analyzed to obtain the instantaneous current waveform, instantaneous voltage waveform, and instantaneous power factor;

[0012] Data is extracted from the instantaneous current waveform, the instantaneous voltage waveform, and the instantaneous power factor to obtain the current rise slope, initial current peak value, voltage drop response, and power factor change rate.

[0013] A transient characteristic parameter model is constructed using the current rise slope, initial current peak value, voltage drop response, and power factor change rate.

[0014] The instantaneous characteristic parameter model is matched and identified with a preset set of disturbance features to determine the instantaneous disturbance state.

[0015] Preferably, the step of analyzing the current operating characteristic parameters of the non-standard component to obtain the instantaneous current waveform, instantaneous voltage waveform, and instantaneous power factor includes:

[0016] Anomaly analysis is performed on the current operating characteristic parameters of the non-standard components to determine the abnormal state type, anomaly occurrence time, and abnormal parameters in the current operating characteristic parameters;

[0017] Based on the abnormal state type, abnormal occurrence time and abnormal parameters in the current operating characteristic parameters, the current operating characteristic parameters are corrected to obtain the corrected current operating characteristic parameters;

[0018] Instantaneous electrical analysis is performed on the corrected current operating characteristic parameters to obtain the instantaneous current waveform, instantaneous voltage waveform, and instantaneous power factor.

[0019] Preferably, after sending the disturbance compensation control parameters to the power conditioning system, and responding to the confirmation signal from the power conditioning system, performing prefabricated cabin testing using the automated test parameters to obtain a prefabricated cabin test report, the method further includes:

[0020] Obtain the test operation data of non-standard components in the prefabricated cabin test report during the testing process;

[0021] The test run data is compared with the preset run data to obtain the data comparison results;

[0022] Based on the data comparison results and the preset diagnostic scheme, the accuracy of the prefabricated cabin test report is determined.

[0023] Preferably, after determining the accuracy of the prefabricated cabin test report based on the data comparison results and the preset diagnostic scheme, the method further includes:

[0024] The accuracy of the prefabricated cabin test report is analyzed to determine any abnormalities in the prefabricated cabin test report;

[0025] The abnormal states in the prefabricated cabin test report are matched to obtain the abnormal matching results;

[0026] If the abnormal matching result indicates an anomaly caused by the disturbance compensation control parameters, a diagnostic anomaly report is generated and an alarm is triggered.

[0027] If the abnormal matching result indicates an anomaly caused by a transient disturbance, then the abnormal matching result is determined to be a temporary phenomenon caused by a controlled disturbance and an anomaly prompt is given.

[0028] Preferably, if the abnormal matching result indicates an anomaly caused by a transient disturbance, the step of determining the abnormal matching result as a temporary phenomenon caused by a controlled disturbance and providing an anomaly alert includes:

[0029] When the abnormal matching result indicates an anomaly caused by a transient disturbance state, the abnormal matching result is determined to be a temporary phenomenon caused by a controlled disturbance, and the disturbance frequency, disturbance time, and disturbance amplitude of the transient disturbance state are determined.

[0030] The overall stability of the prefabricated cabin is evaluated based on the disturbance frequency, disturbance time, and disturbance amplitude of the instantaneous disturbance state, and the overall stability of the prefabricated cabin is obtained.

[0031] An anomaly alert is issued based on the overall stability of the prefabricated cabin.

[0032] Preferably, the step of determining the disturbance compensation control parameters based on the current operating characteristic parameters and the instantaneous disturbance state includes:

[0033] Based on the instantaneous disturbance state, feature analysis is performed on the current operating characteristic parameters to determine the load compensation data;

[0034] The load compensation data is evaluated using a preset performance curve to obtain the compensation performance margin and disturbance compensation amount.

[0035] Based on the compensation performance margin and the disturbance compensation amount, the disturbance compensation control parameters are obtained.

[0036] Preferably, the step of obtaining the disturbance compensation control parameters based on the compensation performance margin and the disturbance compensation amount includes:

[0037] The compensation performance margin and the disturbance compensation amount are combined to obtain the initial parameters for disturbance compensation.

[0038] The initial parameters for disturbance compensation are compared using the initial parameter threshold to obtain the parameter comparison value;

[0039] Based on the parameter comparison values, the initial parameters for disturbance compensation are adjusted to obtain the disturbance compensation control parameters.

[0040] Preferably, the step of obtaining the current operating characteristic parameters and automated test parameters of non-standard components in the prefabricated cabin includes:

[0041] Obtain the current operating characteristic raw parameters and automated test raw parameters of non-standard components in the prefabricated cabin;

[0042] The original parameters of the current operating characteristics and the original parameters of the automated test are preprocessed to obtain the preprocessed original parameters of the current operating characteristics and the original parameters of the automated test.

[0043] The preprocessed original parameters of current operating characteristics and the original parameters of automated testing are verified to obtain the current operating characteristics parameters and automated testing parameters of non-standard components in the prefabricated cabin.

[0044] The present invention also provides an automated testing process control system for prefabricated cabins, the system comprising:

[0045] The parameter acquisition module is used to acquire the current operating characteristic parameters and automated test parameters of non-standard components in the prefabricated cabin;

[0046] The state recognition module is used to identify the current operating characteristic parameters of the non-standard component using a preset set of disturbance features, and to determine the instantaneous disturbance state.

[0047] The parameter determination module is used to determine the disturbance compensation control parameters based on the current operating characteristic parameters and the instantaneous disturbance state.

[0048] The test control module is used to send the disturbance compensation control parameters to the power conditioning system, and in response to the confirmation signal from the power conditioning system, to perform tests on the prefabricated cabin using the automated test parameters and obtain a prefabricated cabin test report.

[0049] Compared with the prior art, the prefabricated cabin automated testing process control method and system of the present invention have the following advantages:

[0050] This invention acquires the current operating characteristic parameters and automated test parameters of non-standard components in a prefabricated cabin, and uses a preset disturbance feature set to identify the current operating characteristic parameters of the non-standard components to determine the instantaneous disturbance state. Based on the current operating characteristic parameters and the instantaneous disturbance state, disturbance compensation control parameters are determined and sent to the power conditioning system. After responding to the confirmation signal from the power conditioning system, the prefabricated cabin is tested using the automated test parameters, ultimately obtaining a prefabricated cabin test report. By proactively identifying and compensating for potential instantaneous disturbances from non-standard components before testing, a stable power supply environment can be ensured by the power conditioning system during testing, avoiding unexpected resets or data interruptions to precision equipment caused by instantaneous disturbances such as voltage drops, thus eliminating the root cause of system misjudgment. This significantly improves the accuracy and efficiency of automated testing of prefabricated cabins before shipment; avoids test termination and extensive manual review work due to misjudgment, shortens the testing cycle, reduces labor costs, and improves the reliability of test reports. Attached Figure Description

[0051] To more clearly illustrate the specific embodiments of the present invention, the accompanying drawings used in the specific embodiments will be briefly described below. In all the drawings, the elements or parts are not necessarily drawn to scale.

[0052] Figure 1 This is a flowchart of an automated testing process control method for prefabricated cabins at the factory, according to the present invention.

[0053] Figure 2 This is a structural block diagram of an automated testing process control system for prefabricated cabins according to the present invention.

[0054] In the diagram: 210, Parameter Acquisition Module; 220, Status Recognition Module; 230, Parameter Determination Module; 240, Test Control Module.

[0055] The implementation and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0056] The following drawings disclose several embodiments of the present invention. For clarity, many practical details will be described in the following description. However, it should be understood that these practical details are not intended to limit the invention. That is, in some embodiments of the invention, these practical details are not essential. Furthermore, for the sake of simplicity, some conventional structures and components will be shown in the drawings in a simple schematic manner.

[0057] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative positional relationship and movement of each component in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indication will also change accordingly.

[0058] Furthermore, in this invention, the use of terms such as "first" and "second" is for descriptive purposes only and does not specifically refer to any order or sequence, nor is it intended to limit the invention. They are merely used to distinguish components or operations described using the same technical terms, and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the technical solutions of various embodiments can be combined with each other, but only if they are feasible for those skilled in the art. If a combination of technical solutions is contradictory or impossible to implement, such a combination should be considered nonexistent and not within the scope of protection claimed by this invention.

[0059] To further understand the content, features, and effects of this invention, the following embodiments are provided, and detailed descriptions are given below in conjunction with the accompanying drawings:

[0060] Please see Figure 1 This invention provides a method for controlling the automated testing process of prefabricated cabins before they leave the factory, comprising the following steps:

[0061] S100. Obtain the current operating characteristic parameters and automated test parameters of non-standard components in the prefabricated cabin. The prefabricated cabin refers to a modular building unit prefabricated in a factory, ready for direct transport to the site for installation and use, such as data center prefabricated cabins and mobile substation prefabricated cabins. The prefabricated cabin integrates various standard and non-standard components, such as power distribution units, temperature control systems, fire alarm devices, data monitoring modules, and customized high-power equipment. Non-standard components refer to equipment not included in the standard configuration of the prefabricated cabin, added or replaced according to specific customer needs, such as special models of high-power cooling pumps and customized uninterruptible power supply systems. The operating characteristics of non-standard components may differ significantly from standard components, especially during startup or operation, which may generate large instantaneous current surges or voltage fluctuations. Current operating characteristic parameters refer to the electrical parameters monitored in real time during the testing of non-standard components, such as instantaneous current, instantaneous voltage, and power factor. Automated test parameters refer to the various set values ​​and thresholds used to guide the automated testing process of the prefabricated cabin, including test sequences, test durations, and pass / fail criteria. This step involves installing high-precision sensors at the power input terminals of non-standard components to collect real-time electrical data such as instantaneous current, instantaneous voltage, and power factor. These data constitute the current operating characteristic parameters. Simultaneously, automated test parameters for the prefabricated cabin are obtained from the prefabricated cabin's test management system, including the sequence of test items, the test duration for each item, and the allowable range of parameter fluctuations.

[0062] S200. Using a preset disturbance feature set, the current operating characteristic parameters of the non-standard component are identified to determine the instantaneous disturbance state. The preset disturbance feature set is a database containing various known disturbance modes and their characteristic parameters, used to identify the types of instantaneous disturbances that non-standard components may generate. An instantaneous disturbance state refers to the brief and rapidly changing electrical interference caused by a non-standard component to the prefabricated cabin power supply system or other sensitive components under specific operations. This step compares the real-time collected current operating characteristic parameters with various disturbance modes in the preset disturbance feature set. The preset disturbance feature set contains various typical instantaneous disturbance modes, such as the inrush current during motor startup, voltage drop during high-power load switching, and harmonic injection, each corresponding to a specific electrical characteristic curve or parameter range. Through a pattern matching algorithm, the instantaneous disturbance type, disturbance amplitude, and duration corresponding to the current operating characteristic parameters can be identified, thereby determining the instantaneous disturbance state.

[0063] S300. Based on the current operating characteristic parameters and the instantaneous disturbance state, determine the disturbance compensation control parameters. These parameters are control commands calculated based on the identified instantaneous disturbance state, used to adjust the power supply regulation system to offset or reduce the impact of the disturbance. Specifically, the instantaneous disturbance state is identified, and based on the current operating characteristic parameters (such as the depth and duration of the instantaneous voltage drop) and the determined disturbance state (such as the starting impact of a high-power motor), the required compensation amount for the power supply regulation system is determined. This includes adjusting the power supply output voltage, injecting reverse current to offset harmonics, or filtering at specific frequencies, thereby obtaining the disturbance compensation control parameters.

[0064] S400: After sending the disturbance compensation control parameters to the power conditioning system, in response to the confirmation signal from the power conditioning system, the prefabricated cabin is tested using the automated test parameters to obtain a prefabricated cabin test report. The power conditioning system refers to the equipment in the prefabricated cabin test station used for stabilizing power supply and regulating voltage and current, such as dynamic voltage regulators and active power filters. In this step, the obtained disturbance compensation control parameters are sent to the power conditioning system via a communication interface. Upon receiving the instruction, the power conditioning system immediately makes corresponding adjustments and sends a confirmation signal to the control system after completing the adjustments. After receiving the confirmation signal, the automated test system can continue to execute various tests of the prefabricated cabin according to the preset automated test parameters. Because the power conditioning system has effectively compensated for the instantaneous disturbances generated by non-standard components, other sensitive standard components will not be disturbed, thus ensuring the accuracy of the test results and ultimately generating a reliable prefabricated cabin test report.

[0065] In this embodiment, by acquiring the current operating characteristic parameters of non-standard components and identifying them using a preset disturbance feature set, the instantaneous disturbance state can be determined accurately in real time. For example, when a high-power cooling pump starts, the instantaneous high current surge and voltage drop it generates can be immediately identified and classified as specific instantaneous disturbance states. Subsequently, based on the identified instantaneous disturbance state and current operating characteristic parameters, precise disturbance compensation control parameters can be dynamically derived. These parameters are sent to the power conditioning system, enabling the system to respond quickly, for example, by using dynamic voltage regulation or active filtering to compensate the power supply system at the moment the non-standard component generates a disturbance, thereby effectively suppressing the impact of voltage drops or current surges on other sensitive components. Thus, after the power conditioning system completes compensation and issues a confirmation signal, the automated testing system can test the prefabricated cabin in a stable and interference-free environment using automated testing parameters. Since the instantaneous disturbance has been effectively canceled out, the precision monitoring equipment sensitive to power quality will no longer be affected, and can work normally and output accurate test data. This invention constructs a real-time disturbance compensation mechanism through two steps: determining disturbance compensation control parameters based on current operating characteristic parameters and instantaneous disturbance states, and sending these parameters to the power conditioning system. Then, in response to the power conditioning system's confirmation signal, the prefabricated cabin is tested using automated test parameters. This mechanism not only identifies disturbances but also proactively intervenes by adjusting the power conditioning system to offset or reduce their impact. This ensures that the final prefabricated cabin test report accurately reflects the cabin's performance and quality, avoiding misjudgments caused by instantaneous disturbances and significantly improving testing reliability and efficiency.

[0066] In some embodiments of this application described above, the step of identifying the current operating characteristic parameters of the non-standard component and determining the instantaneous disturbance state using a preset disturbance feature set includes:

[0067] The current operating characteristic parameters of the non-standard components are analyzed to obtain instantaneous current waveforms, instantaneous voltage waveforms, and instantaneous power factor. This step involves processing the real-time acquired operating data of the non-standard components, for example, using signal processing techniques, Fourier transform, or wavelet analysis, to extract the instantaneous current waveforms, instantaneous voltage waveforms, and instantaneous power factor at a specific time point or time period. These instantaneous parameters can intuitively and comprehensively reflect the electrical behavior of the non-standard components over a short period, providing fundamental data for subsequent disturbance identification.

[0068] Data extraction is performed on the instantaneous current waveform, the instantaneous voltage waveform, and the instantaneous power factor to obtain the current rise slope, initial current peak value, voltage sag response, and power factor change rate. Specifically, key values ​​characterizing disturbance features are obtained from the instantaneous waveforms and parameters using specific algorithms or calculation methods. For example, the current rise slope reflects the severity and speed of the current surge; the initial current peak value indicates the magnitude of the instantaneous impact; the voltage sag response quantifies the amplitude and duration of the voltage drop; and the power factor change rate reflects the rapid changes in load characteristics. The extracted parameters are important indicators for quantifying instantaneous disturbance characteristics and can characterize the dynamic properties of the disturbance from different dimensions.

[0069] Using the current rise slope, initial current peak value, voltage sag response, and power factor change rate, an instantaneous characteristic parameter model is constructed. This step involves combining multiple extracted feature parameters to form a mathematical model or feature vector that comprehensively describes the current instantaneous disturbance state. This model can take various forms, such as statistical methods, machine learning algorithms (e.g., support vector machines, neural networks, and decision trees), or expert system rules. Its purpose is to transform complex instantaneous electrical phenomena into quantifiable and comparable feature representations for subsequent automated processing and identification.

[0070] The instantaneous characteristic parameter model is matched and identified against a preset disturbance feature set to determine the instantaneous disturbance state. This step involves comparing the constructed instantaneous characteristic parameter model with a pre-established database or model set containing features of various known disturbance types. This preset disturbance feature set can be obtained through historical data analysis, experimental testing, or simulation, and includes typical feature patterns of different types of disturbances (such as harmonics, voltage sags, instantaneous overvoltages, and frequency deviations). Using matching algorithms (such as distance metrics, pattern recognition algorithms, and classifiers), it can be determined which preset disturbance feature the current instantaneous characteristic parameter model is closest to, thereby accurately identifying the current instantaneous disturbance state.

[0071] This embodiment performs a refined analysis of the current operating characteristic parameters of non-standard components, extracting representative microscopic instantaneous characteristic parameters from macroscopic waveform data, and constructing an instantaneous characteristic parameter model based on these parameters. Due to the multi-dimensional quantified feature extraction and model construction, the identification of instantaneous disturbance states no longer relies on simple threshold judgments, but can achieve accurate and rapid identification of complex and ever-changing instantaneous disturbance states through pattern matching with a preset disturbance feature set. This effectively improves the accuracy and robustness of disturbance identification.

[0072] In some embodiments of this application described above, the step of analyzing the current operating characteristic parameters of the non-standard component to obtain the instantaneous current waveform, instantaneous voltage waveform, and instantaneous power factor includes:

[0073] Anomaly analysis is performed on the current operating characteristic parameters of the non-standard components to determine the anomaly type, anomaly occurrence time, and anomaly parameters. This step involves scanning and evaluating the real-time collected current operating characteristic parameters using a preset anomaly detection algorithm or rules. Anomaly types may include, but are not limited to, data mutations, missing data, data drift, and exceeding preset thresholds. The anomaly occurrence time refers to the timestamp of the detected abnormal data point, while the anomaly parameter refers to the specific parameter value or range where the anomaly occurred. For example, statistical methods (such as the three Sigma criterion), machine learning models (such as isolated forests), or rule-based expert systems can be used to identify these anomalies.

[0074] Based on the abnormal state type, occurrence time, and abnormal parameters in the current operating characteristic parameters, parameter correction is performed to obtain the corrected current operating characteristic parameters. Specifically, the purpose of parameter correction is to eliminate or mitigate the impact of abnormal data on subsequent analysis. For example, for data mutations, smoothing filtering, median filtering, or interpolation methods can be used for correction; for missing data, methods such as historical data imputation, linear interpolation, or regression prediction can be used to fill in the gaps; for data exceeding a threshold, it can be limited to a reasonable range or marked. Through parameter correction, more accurate and reliable corrected current operating characteristic parameters can be obtained.

[0075] Instantaneous electrical analysis is performed on the corrected current operating characteristic parameters to obtain instantaneous current waveforms, instantaneous voltage waveforms, and instantaneous power factor. Instantaneous electrical analysis refers to the precise extraction of the current waveforms, voltage waveforms, and power factor of non-standard components at a specific instant using Fourier transform, wavelet analysis, or other signal processing techniques based on the corrected parameters. Because the input data has undergone anomaly analysis and correction, the obtained instantaneous electrical parameters will more accurately reflect the actual operating state of the non-standard components.

[0076] Specifically, when acquiring the current operating characteristic parameters of non-standard components in the prefabricated cabin, transient sensor malfunctions or external electromagnetic interference may cause brief spikes or drops in voltage parameters at a certain point in time, or temporary gaps in current data over a certain period. Directly using this raw data for transient electrical analysis would incorrectly identify non-existent transient disturbances or miss genuine disturbances. To address this, anomaly analysis of the current operating characteristic parameters is first performed. For example, if a voltage parameter is detected to exceed the preset normal fluctuation range for a very short period, it is identified as a data mutation anomaly, and the time of occurrence and the specific abnormal voltage value are recorded. Subsequently, based on the anomaly type, occurrence time, and abnormal parameter, a parameter correction mechanism is initiated. A sliding window midpoint filtering algorithm can be used to smooth the abnormal voltage spike, or linear interpolation of preceding and following normal data points can be used to fill in the missing current data. After correction, the obtained current operating characteristic parameters will no longer contain transient anomalies but will be smooth and continuous. Finally, by performing instantaneous electrical analysis on the corrected parameters, the true instantaneous current waveform, instantaneous voltage waveform, and instantaneous power factor can be accurately obtained, avoiding misjudgments caused by abnormal raw data and ensuring the accuracy of subsequent instantaneous disturbance state identification.

[0077] This embodiment effectively avoids the impact of potential anomalies or noise in the original operating characteristic parameters on the accuracy of subsequent analysis by introducing anomaly analysis and parameter correction before analyzing the current operating characteristic parameters of non-standard components. Specifically, anomaly analysis can promptly detect and locate inconsistencies or errors in the data, preventing the direct use of erroneous data for transient electrical analysis. Parameter correction further corrects or processes the abnormal data, ensuring that the current operating characteristic parameters used for transient electrical analysis are cleaned and optimized. Due to the strict control over data quality, the subsequently obtained transient current waveforms, transient voltage waveforms, and transient power factors can more accurately and reliably reflect the true operating state of non-standard components, thus providing high-quality basic data for the construction of subsequent transient characteristic parameter models and the identification of transient disturbance states.

[0078] In some embodiments of this application described above, after sending the disturbance compensation control parameters to the power conditioning system, and responding to the confirmation signal from the power conditioning system, performing prefabricated cabin testing using the automated test parameters to obtain a prefabricated cabin test report, the method further includes:

[0079] This step involves obtaining test operation data of non-standard components from the prefabricated cabin test report during the testing process. After the prefabricated cabin completes automated testing and generates a test report, this step involves automatically or manually extracting the actual operational data of the non-standard components from the report during the testing period. This data may include, but is not limited to, real-time parameters of the non-standard components such as current, voltage, power, temperature, and vibration, as well as their response under specific test conditions. The purpose is to provide a true and comprehensive data foundation for subsequent report accuracy assessment.

[0080] The test data is compared with preset test data to obtain a data comparison result. Specifically, this involves comparing the actual test data of the acquired non-standard components with preset benchmark test data. The preset test data is typically an ideal or acceptable range of operating parameters established based on the non-standard component's design specifications, historical test data, simulation models, or industry standards. By comparing the data, deviations, anomalies, or inconsistencies between the actual test data and the ideal data can be identified, thus forming the data comparison result. Its purpose is to quantify the difference between actual test performance and expected performance.

[0081] Based on the data comparison results and the preset diagnostic scheme, the accuracy of the prefabricated cabin test report is determined. Specifically, based on the degree and type of deviation reflected in the comparison results, and in conjunction with predefined diagnostic rules and logic (i.e., the preset diagnostic scheme), the overall accuracy of the prefabricated cabin test report is evaluated. The preset diagnostic scheme may include a series of judgment criteria; for example, if the deviation is within the allowable range, the report is highly accurate; if there is a significant deviation of a specific type, the report may be abnormal or inaccurate. Its purpose is to provide a clear judgment on the reliability of the test report.

[0082] Specifically, after the prefabricated cabin completes automated testing, a test report is generated. To verify the accuracy of this report, real-time test data, including current, voltage, power, and vibration frequency, of non-standard components (e.g., variable frequency air conditioning compressors) throughout the entire test cycle are extracted from the testing equipment. This data is stored in a temporary database. Subsequently, the real-time test data is compared with pre-stored standard operating curves and parameter ranges for that compressor model. For example, the comparison checks whether the current surge peak during compressor startup is within the allowable range, whether the power factor during steady-state operation meets design requirements, and whether there are any abnormal vibration frequencies. The comparison results show that during a specific test phase, the compressor's instantaneous power factor experienced a brief drop but quickly returned to normal. According to the preset diagnostic protocol, a brief power factor drop within a specific threshold is considered an acceptable transient response and does not affect the overall accuracy of the test report. Therefore, the accuracy of the prefabricated cabin test report is ultimately determined to be high, and it is marked as qualified. If the comparison results show that the power factor deviates from the standard range for an extended period, the preset diagnostic protocol will determine that the report may be inaccurate and suggest further manual review or retesting.

[0083] This embodiment effectively addresses potential inaccuracies in test reports by introducing an accuracy verification step after generating the prefabricated cabin test report. Specifically, by acquiring actual operational data of non-standard components during testing, objective evidence is provided for subsequent verification. Secondly, comparing the actual operational data with preset ideal operational data quantifies the difference between actual and expected performance during testing, thereby identifying potential anomalies or deviations. This allows the system to scientifically and systematically evaluate the accuracy of the test report based on a preset diagnostic plan. Therefore, this invention ensures the authenticity and reliability of prefabricated cabin test reports, avoiding misjudgments or omissions due to inaccurate reports.

[0084] In some embodiments of this application described above, after determining the accuracy of the prefabricated cabin test report based on the data comparison results and the preset diagnostic scheme, the method further includes:

[0085] The accuracy of the prefabricated cabin test reports is analyzed to determine any abnormal states. This step identifies specific anomaly patterns or types from a macro-level accuracy assessment. For example, a comprehensive analysis can be conducted based on multiple dimensions, such as the degree of deviation in accuracy values, the duration of deviation, and the frequency of deviation occurrence, to categorize inaccurate test reports into different abnormal states. These abnormal states in the prefabricated cabin test reports may include, but are not limited to, predefined types such as compensation parameter anomalies and transient disturbance anomalies.

[0086] The abnormal states in the prefabricated cabin test report are matched to obtain abnormality matching results. This step involves comparing the identified abnormal states with a preset abnormality feature library or diagnostic rules. This matching process can be implemented using pattern recognition, machine learning algorithms, or rule-based expert systems to accurately determine the potential causes of the abnormalities.

[0087] If the abnormal matching result indicates an anomaly caused by disturbance compensation control parameters, a diagnostic anomaly report is generated and an alarm is triggered. Specifically, a detailed diagnostic anomaly report is generated, which may include information such as the time of the anomaly, the specific parameter deviation, and suggested troubleshooting directions. An alarm is also issued simultaneously to prompt operators or maintenance personnel to immediately address the issue and prevent continued deviations in test results or potential equipment damage due to problems with the compensation control parameters.

[0088] If the anomaly matching result indicates an anomaly caused by a transient disturbance, the anomaly matching result is determined to be a temporary phenomenon caused by a controlled disturbance, and an anomaly alert is issued. Specifically, if the anomaly matching result indicates an anomaly caused by a transient disturbance, it means that the inaccuracy during the test is merely due to normal fluctuations in the system's response to transient external disturbances, and the disturbance is within the system's controllable range. The anomaly matching result is determined to be a temporary phenomenon caused by a controlled disturbance, and an anomaly alert is issued. This anomaly alert can be a non-urgent notification, such as recording it in the log, flashing an indicator light, or sending a non-urgent message, informing relevant personnel of the existence of a transient disturbance, but without the need for immediate intervention, thereby avoiding overreaction to normal operation and unnecessary resource consumption.

[0089] Specifically, during the automated testing of the prefabricated cabin, based on data comparison results and a preset diagnostic scheme, the accuracy of the prefabricated cabin test report is determined to be 90%, lower than the preset 95% pass threshold. At this point, this 90% accuracy will be further analyzed. If the analysis reveals that the voltage parameters in the test report consistently deviate from the target value, and this deviation is significantly correlated with the disturbance compensation control parameters applied by the power conditioning system—for example, the compensation parameters fail to completely offset a specific type of load fluctuation—then the abnormal state of the prefabricated cabin test report will be determined as an abnormality in the compensation parameters. Subsequently, this abnormal state is matched against a preset abnormality feature library, and the abnormality matching result indicates an anomaly caused by the disturbance compensation control parameters. A detailed diagnostic anomaly report is immediately generated, which may include the specific compensation parameters causing the continuous voltage deviation, the suggested adjustment range, and relevant historical data. Simultaneously, an audible and visual alarm is triggered, prompting engineers to immediately check and adjust the disturbance compensation control parameters. For example, if analysis reveals a brief, high-frequency spike in the current waveform of the test report at a specific time point, but the amplitude and duration of this spike are within the controlled range defined by the system's preset instantaneous disturbance feature set, and closely match the start-up or switching operation time of non-standard components, then the abnormal state of the prefabricated cabin test report will be determined as an instantaneous disturbance anomaly. Subsequently, this abnormal state is matched against the preset anomaly feature library, and the anomaly matching result indicates an anomaly caused by the instantaneous disturbance state. If the anomaly matching result is determined to be a temporary phenomenon caused by a controlled disturbance, only non-emergency prompts will be displayed on the operation interface, such as the detection of a controlled instantaneous current fluctuation, indicating that the test result is within acceptable limits. This will also be recorded in the system log without triggering an emergency alarm, thus avoiding interference with the normal testing process.

[0090] This embodiment effectively avoids the limitation of relying solely on accuracy to pinpoint the root cause of problems by conducting in-depth analysis of the accuracy of prefabricated cabin test reports and matching abnormal states. Specifically, by analyzing the accuracy of the test reports, specific abnormal patterns existing during the testing process can be identified, such as whether they are persistent deviations or transient fluctuations. Furthermore, by matching abnormal states with a preset set of disturbance characteristics, it is possible to distinguish whether the abnormality stems from an inherent defect in the disturbance compensation control parameters or is a temporary phenomenon generated when responding to controlled transient disturbances. When an abnormality is diagnosed as a problem with the disturbance compensation control parameters, a detailed diagnostic report is generated and an emergency alarm is issued, prompting timely correction of the core control logic or parameters, thereby ensuring the accuracy and reliability of the test. When an abnormality is determined to be a controlled transient disturbance, only a non-emergency alert is issued, avoiding excessive intervention in normal operation and thus improving operational efficiency.

[0091] In some embodiments of this application described above, if the abnormal matching result indicates an anomaly caused by a transient disturbance, the step of determining the abnormal matching result as a temporary phenomenon caused by a controlled disturbance and providing an anomaly alert includes:

[0092] When the anomaly matching result indicates an anomaly caused by a transient disturbance, the anomaly matching result is determined to be a temporary phenomenon caused by a controlled disturbance, and the disturbance frequency, disturbance time, and disturbance amplitude of the transient disturbance state are determined. Key characteristic parameters include disturbance frequency, disturbance time, and disturbance amplitude. Disturbance frequency refers to the number of times or periodicity of the transient disturbance occurs per unit time; disturbance time refers to the duration of the transient disturbance; and disturbance amplitude represents the magnitude or intensity of the transient disturbance. This provides a quantitative basis for subsequent stability assessment.

[0093] The overall stability of the prefabricated cabin is evaluated based on the disturbance frequency, duration, and amplitude of the instantaneous disturbance, resulting in the overall stability of the prefabricated cabin. This overall stability assessment serves as a comprehensive reference for the prefabricated cabin's resistance, recovery capability, and continuous operational capability in the face of a specific instantaneous disturbance. For example, the overall stability of the prefabricated cabin can be derived based on a pre-defined stability model or empirical formula, combined with a determined disturbance frequency, duration, and amplitude. This overall stability is a quantitative indicator used to reflect the performance of the prefabricated cabin under the current controlled disturbance.

[0094] Anomaly alerts are issued based on the overall stability of the prefabricated cabin. Specifically, these alerts are no longer simple temporary phenomenon warnings, but rather more specific and instructive alerts that incorporate the actual stability assessment results of the prefabricated cabin. For example, if the overall stability is below a certain preset threshold, even if it is a controlled disturbance, it may indicate the need for attention or further measures; if the stability is within an acceptable range, the alert may focus more on recording and monitoring.

[0095] Specifically, during the automated testing of the prefabricated module before shipment, anomalies in the operating characteristic parameters of non-standard components are detected, and the anomaly matching results indicate that the anomaly is caused by a transient disturbance. For example, the instantaneous startup of a high-power load causes a brief voltage drop. Instead of immediately issuing a general anomaly warning, the system first precisely determines the disturbance frequency (e.g., 50Hz), disturbance duration (e.g., 200ms), and disturbance amplitude (e.g., a voltage drop of 10%). Subsequently, using these parameters, combined with the prefabricated module's design specifications and historical operating data, a built-in stability assessment model is used to derive the overall stability of the prefabricated module under the current disturbance. If the assessment results show that the overall stability of the prefabricated module remains above the safety threshold, a warning indicating controlled transient disturbance and good system stability may be issued, and relevant data will be recorded for subsequent analysis. Conversely, if the overall stability assessment result is below the safety threshold, even if it is a controlled disturbance, a higher-level warning indicating controlled transient disturbance and requiring attention to system stability will be issued, and additional checks or adjustments may be recommended to avoid potential operational risks.

[0096] This embodiment, when determining that an abnormal matching result is a temporary phenomenon caused by a controlled disturbance, no longer simply provides an anomaly alert, but first conducts an in-depth analysis of the disturbance frequency, duration, and amplitude of the instantaneous disturbance state, thereby enabling a quantitative description of the disturbance's specific characteristics. The overall stability of the prefabricated cabin is then evaluated using these quantitative parameters, yielding the overall stability of the prefabricated cabin. This allows for a more comprehensive and accurate understanding of the impact of controlled disturbances on the prefabricated cabin's operational status, avoiding potential risks that might be overlooked due to simple alerts. This improves the precision of the diagnosis and the scientific rigor of the decision-making.

[0097] In some embodiments of this application described above, the step of determining the disturbance compensation control parameters based on the current operating characteristic parameters and the instantaneous disturbance state includes:

[0098] Based on the instantaneous disturbance state, characteristic analysis is performed on the current operating characteristic parameters to determine load compensation data. This step allows for in-depth analysis of the changing trends, amplitudes, frequencies, and durations of electrical parameters such as voltage, current, and power of non-standard components during instantaneous disturbances. For example, when the instantaneous disturbance manifests as a voltage drop, the depth, duration, and recovery rate of the voltage drop in the current operating characteristic parameters can be analyzed to quantify the impact of the disturbance on the system load and determine the required load compensation data accordingly. This load compensation data aims to accurately describe the additional load demand or characteristic changes that non-standard components generate on the power system under a specific instantaneous disturbance.

[0099] By utilizing preset performance curves, load compensation data is evaluated to obtain the compensation performance margin and disturbance compensation amount. The preset performance curves are a set of performance parameters of the power supply regulation system, including dynamic response characteristics, compensation capacity range, and stability margin, under different operating conditions, load types, and disturbance intensities. When evaluating load compensation data using preset performance curves, the determined load compensation data can be compared with these preset curves. For example, by comparing the required load compensation amount with the maximum compensation capacity curve of the power supply regulation system, the compensation performance margin can be obtained, which is the remaining performance space of the power supply regulation system after meeting the current compensation requirements. Simultaneously, based on the load compensation data and preset performance curves, the required disturbance compensation amount can be accurately calculated. This compensation amount is the specific compensation value that the power supply regulation system needs to provide to offset the impact of instantaneous disturbances.

[0100] Based on the compensation performance margin and the disturbance compensation amount, disturbance compensation control parameters are obtained. Specifically, a high compensation performance margin indicates that the power supply regulation system has sufficient capacity to cope with disturbances, and a more stable compensation strategy can be adopted. A low compensation performance margin may require a faster and more powerful compensation response. The disturbance compensation control parameters can be specific instructions sent to the power supply regulation system, such as voltage regulation instructions, current injection instructions, or frequency adjustment instructions, to ensure that the power supply system can accurately provide the required disturbance compensation.

[0101] Specifically, during the automated testing of prefabricated modules at the factory, non-standard components (such as high-power inverter air conditioners) generate a transient voltage drop disturbance upon startup. First, based on the transient disturbance state (i.e., the voltage drop), the current operating characteristic parameters (such as the voltage and current waveforms of the prefabricated module's power bus) are characterized. By analyzing the amplitude of the voltage drop (e.g., from 220V to 180V), its duration (e.g., 50 milliseconds), and the instantaneous peak value of the current, the required load compensation data for this disturbance can be determined; for example, a 20A reactive current injection is needed to maintain voltage stability. Second, the load compensation data is evaluated using preset performance curves (e.g., the response capability curve of the power supply regulation system under different voltage drop amplitudes and durations, and the maximum reactive current injection capability curve). By comparison, the compensation performance margin (e.g., the power supply regulation system still has a 30% margin after injecting 20A reactive current) and the precise disturbance compensation amount (e.g., a 20A reactive current injection and a 10V voltage boost are required) can be obtained. Finally, based on the compensation performance margin and disturbance compensation amount, disturbance compensation control parameters are obtained. For example, the power conditioning system is instructed to boost the output voltage by 10V and inject 20A of reactive current within 50 milliseconds to precisely offset the instantaneous voltage drop caused by the startup of non-standard components. This ensures that the testing environment of the prefabricated cabin remains stable, guaranteeing the accuracy of the test results.

[0102] This embodiment, by introducing feature analysis of the current operating characteristic parameters under transient disturbance conditions, can more precisely identify and quantify the load characteristics of non-standard components under disturbances, thereby obtaining more accurate load compensation data. Furthermore, by evaluating the load compensation data using preset performance curves, the actual performance boundaries and dynamic response capabilities of the power supply regulation system can be fully considered, quantifying the compensation performance margin and the precise disturbance compensation amount. Therefore, the determined disturbance compensation control parameters can not only effectively offset the impact of transient disturbances but also ensure that the compensation process is carried out within the capability range of the power supply regulation system, avoiding system instability or test result distortion caused by over-compensation or under-compensation. This makes the determination process of disturbance compensation control parameters more accurate.

[0103] In some embodiments of this application described above, the step of obtaining the disturbance compensation control parameters based on the compensation performance margin and the disturbance compensation amount includes:

[0104] The compensation performance margin and disturbance compensation amount are combined to obtain the initial disturbance compensation parameters. Specifically, combining the compensation performance margin and disturbance compensation amount means comprehensively referencing the compensation performance margin and disturbance compensation amount obtained through evaluation using a preset performance curve to generate preliminary, unadjusted initial disturbance compensation parameters. The combination process may employ weighted averaging, logical judgment, rule-based mapping, or prediction using a pre-trained model. The purpose is to effectively integrate information from the two key evaluation indicators to form a unified initial control benchmark. The initial disturbance compensation parameters can be understood as the original control parameters obtained after the preliminary combination process for subsequent adjustments. These parameters represent the suggested compensation strength or method based on the compensation performance margin and disturbance compensation amount under the current instantaneous disturbance state.

[0105] The initial disturbance compensation parameters are compared using initial compensation parameter thresholds to obtain parameter comparison values. This step involves comparing the initially obtained initial disturbance compensation parameters with one or a set of pre-set initial compensation parameter thresholds. These thresholds can be determined based on historical data, system design specifications, safety margin requirements, or expert experience, and are used to define the reasonable range or optimal interval of the initial disturbance compensation parameters. Parameter comparison may include determining whether the initial disturbance compensation parameters exceed upper or lower limits, whether they are within a certain ideal range, or whether they meet specific performance requirements. Its purpose is to conduct preliminary validity verification and compliance checks on the initial parameters. Therefore, the parameter comparison value refers to the result of the parameter comparison, which can be a Boolean value (e.g., qualified or unqualified), deviation, adjustment direction indication, or a classification label indicating the interval in which the initial parameters are located. This comparison value will serve as the basis for subsequent adjustments to the initial disturbance compensation parameters.

[0106] Based on the parameter comparison values, the initial disturbance compensation parameters are adjusted to obtain the disturbance compensation control parameters. This step refers to correcting or optimizing the initial disturbance compensation parameters based on the parameter comparison results to better meet actual needs and system performance requirements. For example, if the parameter comparison value indicates that the initial disturbance compensation parameters are too high, they can be appropriately reduced; if the indication is too low, they can be appropriately increased; if the indication is within the ideal range, they can remain unchanged or be fine-tuned. Adjustment methods can include linear adjustment, nonlinear adjustment, feedback adjustment based on PID control, fuzzy logic adjustment, or adaptive adjustment based on machine learning models, etc. The purpose is to ensure that the final disturbance compensation control parameters can effectively, stably, and accurately compensate for instantaneous disturbances.

[0107] Specifically, during the automated testing of the prefabricated module before shipment, load compensation data is determined by performing characteristic analysis on the current operating parameters based on the instantaneous disturbance state. Subsequently, the load compensation data is evaluated using a preset performance curve, yielding a compensation performance margin of 85% and a disturbance compensation amount of 1.2A. First, the compensation performance margin of 85% and the disturbance compensation amount of 1.2A are combined. For example, a weighted average method can be used, or a lookup table or rule engine can be used to obtain the initial disturbance compensation parameter, assumed to be 1.15A. Next, the initial disturbance compensation parameter of 1.15A is compared with the initial compensation parameter threshold. Assuming the preset initial compensation parameter threshold range is [1.0A, 1.3A], and an ideal interval exists [1.1A, 1.2A], the initial disturbance compensation parameter of 1.15A is within the ideal interval. The parameter comparison result indicates that the initial parameter is reasonable and in a relatively optimal state. Finally, the initial disturbance compensation parameter of 1.15A is adjusted based on the parameter comparison value. Since 1.15A is already within the ideal range, it can be decided to make fine adjustments for further optimization, or leave it unchanged. For example, it can be fine-tuned to 1.16A according to a preset fine-tuning strategy, serving as the final disturbance compensation control parameter. Even if the initial evaluation results deviate slightly, the threshold comparison and adjustment mechanism can ensure that the final output disturbance compensation control parameter is verified and optimized, thereby more accurately guiding the power conditioning system to perform compensation and ensuring the accuracy of the prefabricated cabin test.

[0108] This embodiment introduces a threshold comparison and adjustment mechanism for initial disturbance compensation parameters, combining compensation performance margin and disturbance compensation amount. This allows for a comprehensive consideration of both the system's compensation capability and actual disturbance requirements, resulting in more complete initial disturbance compensation parameters. Secondly, by comparing these initial parameters using threshold values, the effectiveness and compliance of the initially generated control parameters can be verified, allowing for the timely identification and correction of any potential deviations or inconsistencies. This enables subsequent adjustments to be targeted, ensuring that the final disturbance compensation control parameters not only meet basic compensation requirements but also maintain high accuracy and stability under various complex operating conditions, thereby improving the control quality of the entire automated testing process.

[0109] In some embodiments of this application described above, the step of obtaining the current operating characteristic parameters and automated test parameters of non-standard components in the prefabricated cabin includes:

[0110] Acquiring raw parameters of current operating characteristics and raw parameters of automated testing for non-standard components in the prefabricated cabin. Specifically, acquiring raw parameters of current operating characteristics and raw parameters of automated testing for non-standard components in the prefabricated cabin refers to directly collecting unprocessed initial data from sensors, controllers, or configuration interfaces inside the prefabricated cabin. For example, raw parameters of current operating characteristics may include real-time measured values ​​such as voltage, current, temperature, and frequency, while raw parameters of automated testing may include initial set values ​​such as test sequences, test thresholds, and test conditions.

[0111] The original parameters of the current operating characteristics and the original parameters of the automated tests are preprocessed to obtain preprocessed original parameters of the current operating characteristics and the original parameters of the automated tests. This step involves cleaning, transforming, and normalizing the original data. Specifically, preprocessing may include, but is not limited to: data denoising, such as using a low-pass filter to remove high-frequency noise; data smoothing, such as using a moving average to reduce data fluctuations; data format conversion to ensure that all parameters conform to a unified data structure; and missing value imputation or outlier removal to improve data integrity and reliability. Its purpose is to eliminate redundancy, errors, or inconsistencies in the original data, laying the foundation for subsequent accurate analysis.

[0112] The preprocessed raw parameters of current operating characteristics and automated testing are verified to obtain the current operating characteristic parameters and automated testing parameters of non-standard components in the prefabricated cabin. This step involves checking the validity, completeness, and consistency of the preprocessed data. For example, verification may include: range verification to ensure that parameter values ​​are within a preset physical or logical range; logical verification to check whether the correlation between different parameters conforms to preset rules; and completeness verification to ensure that all necessary parameters have been obtained without omission. The purpose is to further confirm the accuracy and availability of the data and prevent deviations in subsequent testing or control processes due to data errors.

[0113] This embodiment, by introducing parameter preprocessing and verification steps, ensures that noise, outliers, or inconsistencies in the raw data can be effectively removed when acquiring the current operating characteristic parameters and automated test parameters of non-standard components in the prefabricated cabin. Because the raw parameters are systematically preprocessed and rigorously verified, the data used subsequently for instantaneous disturbance state identification, disturbance compensation control parameter determination, and prefabricated cabin testing is more accurate and reliable. This improvement in data quality directly supports the stability and effectiveness of the entire automated testing process.

[0114] Based on any of the above embodiments, please refer to the automated testing process control method for prefabricated cabins before shipment. Figure 2 The present invention also provides an automated testing process control system for prefabricated cabins, the system comprising a parameter acquisition module 210, a status identification module 220, a parameter determination module 230, and a test control module 240.

[0115] The parameter acquisition module 210 is used to acquire the current operating characteristic parameters and automated test parameters of non-standard components in the prefabricated cabin.

[0116] The state recognition module 220 is used to identify the current operating characteristic parameters of the non-standard component by using a preset set of disturbance features, and to determine the instantaneous disturbance state.

[0117] The parameter determination module 230 is used to determine the disturbance compensation control parameters based on the current operating characteristic parameters and the instantaneous disturbance state.

[0118] The test control module 240 is used to send the disturbance compensation control parameters to the power conditioning system, and in response to the confirmation signal of the power conditioning system, to perform the test of the prefabricated cabin using the automated test parameters and obtain the prefabricated cabin test report.

[0119] In this embodiment, the parameter acquisition module 210 monitors the operating characteristic parameters of non-standard components in real time, the status identification module 220 identifies the instantaneous disturbance status using a preset disturbance feature set, the parameter determination module 230 generates disturbance compensation control parameters based on the identification results, and the test control module 240 sends these parameters to the power conditioning system for compensation, thereby ensuring that the test environment of the prefabricated cabin is stable during automated testing, avoiding misjudgments caused by instantaneous disturbances, and ultimately improving the accuracy and reliability of the test report.

[0120] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be covered within the scope of the present invention specification.

Claims

1. A method for controlling the automated testing process of prefabricated modules before they leave the factory, characterized in that, include: Obtain the current operating characteristic parameters and automated test parameters of non-standard components in the prefabricated cabin; By using a preset set of disturbance features, the current operating characteristic parameters of the non-standard components are identified to determine the instantaneous disturbance state; Based on the current operating characteristic parameters and the instantaneous disturbance state, determine the disturbance compensation control parameters; After the disturbance compensation control parameters are sent to the power conditioning system, in response to the confirmation signal from the power conditioning system, the prefabricated cabin is tested using the automated test parameters to obtain a prefabricated cabin test report.

2. The method for controlling the automated testing process of prefabricated cabins upon delivery according to claim 1, characterized in that, The step of identifying the current operating characteristic parameters of the non-standard component and determining the instantaneous disturbance state by using a preset disturbance feature set includes: The current operating characteristic parameters of the non-standard components are analyzed to obtain the instantaneous current waveform, instantaneous voltage waveform, and instantaneous power factor; Data is extracted from the instantaneous current waveform, the instantaneous voltage waveform, and the instantaneous power factor to obtain the current rise slope, initial current peak value, voltage drop response, and power factor change rate. A transient characteristic parameter model is constructed using the current rise slope, initial current peak value, voltage drop response, and power factor change rate. The instantaneous characteristic parameter model is matched and identified with a preset set of disturbance features to determine the instantaneous disturbance state.

3. The method for controlling the automated testing process of prefabricated cabins upon delivery, as described in claim 2, is characterized in that... The steps for analyzing the current operating characteristic parameters of the non-standard component to obtain the instantaneous current waveform, instantaneous voltage waveform, and instantaneous power factor include: Anomaly analysis is performed on the current operating characteristic parameters of the non-standard components to determine the abnormal state type, anomaly occurrence time, and abnormal parameters in the current operating characteristic parameters; Based on the abnormal state type, abnormal occurrence time and abnormal parameters in the current operating characteristic parameters, the current operating characteristic parameters are corrected to obtain the corrected current operating characteristic parameters; Instantaneous electrical analysis is performed on the corrected current operating characteristic parameters to obtain the instantaneous current waveform, instantaneous voltage waveform, and instantaneous power factor.

4. The method for controlling the automated testing process of prefabricated cabins upon delivery according to claim 1, characterized in that, After sending the disturbance compensation control parameters to the power conditioning system, and responding to the confirmation signal from the power conditioning system, performing prefabricated cabin testing using the automated test parameters to obtain a prefabricated cabin test report, the process further includes: Obtain the test operation data of non-standard components in the prefabricated cabin test report during the testing process; The test run data is compared with the preset run data to obtain the data comparison results; Based on the data comparison results and the preset diagnostic scheme, the accuracy of the prefabricated cabin test report is determined.

5. The method for controlling the automated testing process of a prefabricated cabin upon delivery, as described in claim 4, is characterized in that... After determining the accuracy of the prefabricated cabin test report based on the data comparison results and the preset diagnostic scheme, the method further includes: The accuracy of the prefabricated cabin test report is analyzed to determine any abnormalities in the prefabricated cabin test report; The abnormal states in the prefabricated cabin test report are matched to obtain the abnormal matching results; If the abnormal matching result indicates an anomaly caused by the disturbance compensation control parameters, a diagnostic anomaly report is generated and an alarm is triggered. If the abnormal matching result indicates an anomaly caused by a transient disturbance, then the abnormal matching result is determined to be a temporary phenomenon caused by a controlled disturbance and an anomaly prompt is given.

6. The method for controlling the automated testing process of a prefabricated cabin upon delivery, as described in claim 5, is characterized in that... If the abnormal matching result indicates an anomaly caused by a transient disturbance, the steps of determining the abnormal matching result as a temporary phenomenon caused by a controlled disturbance and providing an anomaly alert include: When the abnormal matching result indicates an anomaly caused by a transient disturbance state, the abnormal matching result is determined to be a temporary phenomenon caused by a controlled disturbance, and the disturbance frequency, disturbance time, and disturbance amplitude of the transient disturbance state are determined. The overall stability of the prefabricated cabin is evaluated based on the disturbance frequency, disturbance time, and disturbance amplitude of the instantaneous disturbance state, and the overall stability of the prefabricated cabin is obtained. An anomaly alert is issued based on the overall stability of the prefabricated cabin.

7. The method for controlling the automated testing process of a prefabricated cabin upon delivery according to claim 1, characterized in that, The steps for determining the disturbance compensation control parameters based on the current operating characteristic parameters and the instantaneous disturbance state include: Based on the instantaneous disturbance state, feature analysis is performed on the current operating characteristic parameters to determine the load compensation data; The load compensation data is evaluated using a preset performance curve to obtain the compensation performance margin and disturbance compensation amount. Based on the compensation performance margin and the disturbance compensation amount, the disturbance compensation control parameters are obtained.

8. The method for controlling the automated testing process of a prefabricated cabin upon delivery, as described in claim 7, is characterized in that... The steps for obtaining the disturbance compensation control parameters based on the compensation performance margin and the disturbance compensation amount include: The compensation performance margin and the disturbance compensation amount are combined to obtain the initial parameters for disturbance compensation. The initial parameters for disturbance compensation are compared using the initial parameter threshold to obtain the parameter comparison value; Based on the parameter comparison values, the initial parameters for disturbance compensation are adjusted to obtain the disturbance compensation control parameters.

9. The method for controlling the automated testing process of a prefabricated cabin upon delivery according to claim 1, characterized in that, The steps for obtaining the current operating characteristic parameters and automated test parameters of non-standard components in the prefabricated cabin include: Obtain the current operating characteristic raw parameters and automated test raw parameters of non-standard components in the prefabricated cabin; The original parameters of the current operating characteristics and the original parameters of the automated test are preprocessed to obtain the preprocessed original parameters of the current operating characteristics and the original parameters of the automated test. The preprocessed original parameters of current operating characteristics and the original parameters of automated testing are verified to obtain the current operating characteristics parameters and automated testing parameters of non-standard components in the prefabricated cabin.

10. A prefabricated cabin factory-delivered automated testing process control system, characterized in that, The system includes: The parameter acquisition module is used to acquire the current operating characteristic parameters and automated test parameters of non-standard components in the prefabricated cabin; The state recognition module is used to identify the current operating characteristic parameters of the non-standard component using a preset set of disturbance features, and to determine the instantaneous disturbance state. The parameter determination module is used to determine the disturbance compensation control parameters based on the current operating characteristic parameters and the instantaneous disturbance state. The test control module is used to send the disturbance compensation control parameters to the power conditioning system, and in response to the confirmation signal from the power conditioning system, to perform tests on the prefabricated cabin using the automated test parameters and obtain a prefabricated cabin test report.

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