Analog Signal Calibration Test Method and System Applied to Constant Temperature and Humidity Control Cabinet

Abstract

The present invention discloses a simulation signal calibration test method and system for a constant temperature and humidity control cabinet. The system combines a high-precision signal generator and an intelligent measuring device to automatically generate and measure analog signals, with built-in signal integrity protection to ensure high-quality signal transmission. The system integrates data processing and analysis functions, uses AI algorithms to analyze data in real time, calculate deviations, judge the calibration status, and test the communication ability. Through advanced signal processing technologies and materials science, the system maintains stability and signal integrity even in extreme environments. It provides a unified control platform and user interface for easy parameter setting, data viewing, and system monitoring, ensuring efficient and accurate testing, applicable to the signal calibration test of the constant temperature and humidity control cabinet, and significantly improving the test accuracy and system reliability.

Description

Technical Field

[0001] This application relates to the technical field of automatic product inspection, and is a module calibration test system. Specifically, it is a method and system for calibrating and testing analog signals applied to a constant temperature and humidity control cabinet. Background Art

[0002] The module calibration test system is used to calibrate the analog input signal points of the module, including voltage input signals, current input signals, and resistance input signals. After calibration, it is also necessary to perform accuracy tests on the module, including the analog output points and analog input points of the module. For each point, the maximum value, minimum value, intermediate value, etc. of each signal type are selected for accuracy testing and the deviation values are recorded.

[0003] In the prior art, testers use a signal generator to simulate the required signals, manually measure the signal accuracy with a multimeter, and then use a computer installed with MODBUS test software to communicate with the module via Ethernet, read the internal data to judge the calibration status and the current signal value, and manually calculate the deviation value and record it in a table. A module has 6 analog output signals and 8 analog input signals, respectively supporting 3 signal input types: voltage, current, and resistance. The voltage takes 3 values, the current takes 3 values, and the resistance takes 4 values. A total of 3*8 + 3*8 + 4*8 + 6 = 86 groups of data need to be manually tested. At the same time, the module also has two 485 communication ports that need to test the MODBUS-RTU communication protocol, and a computer MODBUS test tool is used to test the two communication ports manually. Testing a module usually takes several hours, and manual measurement errors are also inevitable. Summary of the Invention

[0004] The present invention provides a method and system for calibrating and testing analog signals applied to a constant temperature and humidity control cabinet, so as to solve the problem of how to ensure the high precision, high efficiency, and stability of analog signal calibration testing in a special and harsh environment of a constant temperature and humidity control cabinet, and at the same time overcome the challenges brought by attenuation, interference, and environmental changes that the signal may encounter during transmission.

[0005] To solve the above problems, the present invention provides a method and system for calibrating and testing analog signals applied to a constant temperature and humidity control cabinet, including:

[0006] A method and system for calibrating and testing analog signals applied to a constant temperature and humidity control cabinet, including:

[0007] S100. Combine a high-precision signal generator with an intelligent measuring device, automatically adjust signal parameters, generate and measure analog signals, and build a signal integrity protection mechanism;

[0008] S200 integrates data processing, analysis, and communication testing functions, uses AI algorithms for real-time data analysis, deviation calculation, calibration status judgment, and test report generation, and simultaneously tests the communication capabilities of the test module;

[0009] S300 ensures the stability of the system under extreme environmental conditions and the integrity of signal transmission, and improves system performance through advanced signal processing technologies and materials science;

[0010] S400 provides a unified control platform and a user-friendly interface, allowing users to set test parameters, view real-time data and test results, and simultaneously monitor the system status and health.

[0011] As an optimal solution, step S100 includes:

[0012] S110 integrates a precision signal generator to generate analog signals of various frequencies, amplitudes, and waveforms, ensuring the high quality and stability of the signals;

[0013] S120 is equipped with highly sensitive sensors and measurement devices to automatically detect and measure the key parameters of the signals, and simultaneously conduct real-time monitoring to capture the transient changes of the signals;

[0014] S130 adopts an adaptive algorithm to automatically optimize signal parameters according to different test requirements and environmental conditions, ensuring the best signal transmission effect;

[0015] S140 has a built-in signal integrity protection mechanism to identify and prevent interference and attenuation of signals during transmission.

[0016] S150 can perform internal diagnostics regularly to promptly detect potential hardware or software problems and take corresponding corrective measures to improve the reliability and service life of the system.

[0017] As an optimal solution, step S200 includes:

[0018] S210 uses AI algorithms for real-time data analysis and deviation calculation;

[0019] S220 judges the calibration status and automatically generates a test report;

[0020] S230 tests the communication performance between modules and evaluates indicators such as signal transmission rate and packet loss rate;

[0021] S240 generates a communication capability test report and automatically triggers an optimization process to improve communication performance.

[0022] As an optimal solution, step S300 includes:

[0023] S310. Select suitable materials and packaging technologies to enhance the system's resistance to environmental factors such as temperature and humidity;

[0024] S320. Adopt advanced signal processing algorithms, such as digital filtering and signal recovery, to maintain high-quality signal transmission;

[0025] S330. Use high-performance insulating materials and conductive materials to enhance the corrosion resistance and anti-aging ability of system components;

[0026] S340. Have the ability of self-monitoring, and adjust working parameters in real time to adapt to environmental changes, ensuring system stability and measurement accuracy.

[0027] As a preferred solution, step S400 includes:

[0028] S410. Provide a centralized control interface to simplify the operation process and allow users to easily configure test parameters;

[0029] S420. The user interface displays real-time test data and system status for easy monitoring and analysis;

[0030] S430. Intuitively present test results, including graphical data, statistical summaries, and test reports;

[0031] S440. Continuously monitor the operating status and health of each module of the system and give early warnings of potential problems.

[0032] The key innovation points of the present invention include:

[0033] (1) High-precision signal generation and measurement: Integrate a precision signal generator that can generate high-quality analog signals, and cooperate with intelligent measurement equipment to automatically adjust signal parameters to ensure the high precision and stability of the signals.

[0034] (2) Intelligent data processing and analysis: Integrate AI algorithms for real-time data analysis and deviation calculation, automatically judge the calibration status, generate test reports, and at the same time test the communication ability, improving the efficiency and accuracy of data processing.

[0035] (3) Environmental adaptability and signal integrity guarantee: Adopt advanced signal processing algorithms, such as digital filtering and signal recovery, as well as high-performance insulating and conductive materials, to enhance the stability of the system in extreme environments and the integrity of signal transmission.

[0036] (4) Unified control platform and user interface: Provide a friendly user interface that allows users to easily configure test parameters, view real-time data, and at the same time monitor the system status and health, simplifying the operation process and improving the user experience.

[0037] (5) System status monitoring and early warning mechanism: Continuously monitor the operating status and health of each module of the system, promptly warn of potential problems, ensure the normal operation of the system, and reduce downtime and maintenance costs.

[0038] Through a series of innovative algorithms and advanced technical means, the present invention significantly improves the accuracy, efficiency, and reliability of analog signal calibration testing in a constant temperature and humidity control cabinet. The following are its main beneficial effects:

[0039] (1) Automated and intelligent signal generation and measurement. The present invention combines a high-precision signal generator with an intelligent measurement device to automatically adjust signal parameters, generate and measure analog signals, greatly reducing manual operations, avoiding human errors, and improving the accuracy and efficiency of testing.

[0040] (2) Dynamic signal parameter adjustment. The adaptive algorithm can automatically optimize signal parameters according to test requirements and environmental conditions. For example, it can adjust the frequency and amplitude of the signal at different temperatures to ensure that the signal can still maintain the best transmission effect under changing environmental conditions, improving the stability and accuracy of the signal.

[0041] (3) Signal integrity protection. The built-in signal integrity protection mechanism can identify and prevent interference and attenuation of signals during transmission. Through dynamic noise suppression and signal enhancement technologies, it ensures the integrity and clarity of signals in extreme environments, reducing signal distortion.

[0042] (4) Environmental adaptability and stability. The application of advanced signal processing technologies and materials science enhances the stability of the system under extreme environmental conditions and the integrity of signal transmission, reduces measurement errors and system failure risks caused by environmental factors, and extends the system life.

[0043] (5) Data processing and analysis. Integrate data processing and analysis functions, use AI algorithms for real-time analysis, deviation calculation, calibration status judgment, and test report generation, improving the efficiency of data processing and the accuracy of test results.

[0044] (6) Communication ability testing and optimization. Test the communication ability of the module to ensure the communication efficiency and stability between modules, and automatically trigger the optimization process, such as adjusting signal source parameters, improving signal paths, or enhancing anti-interference measures, to ensure the reliable operation of the system under various working conditions.

[0045] (7) User-friendly interface and system monitoring. Provide a unified control platform and a friendly user interface, allowing users to set test parameters, view real-time data and test results, and at the same time monitor the system status and health, simplifying the operation process and improving the user experience.

[0046] (8) Improvement in comprehensive benefits. Overall, through the automated and intelligent testing method and system, the present invention significantly shortens the testing time, improves the testing accuracy, reduces the maintenance cost, ensures the high reliability and accuracy of signal calibration testing in a constant temperature and humidity control cabinet, and is applicable to various high-end scientific research and industrial application scenarios that require precise control of environmental conditions. Description of the Drawings

[0047] Figure 1 It is a schematic flowchart of a method and system for analog signal calibration testing applied to a constant temperature and humidity control cabinet provided by an embodiment of the present invention. Detailed Embodiments

[0048] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0049] Referring to Figure 1 , it is a flowchart of a method and system for analog signal calibration testing applied to a constant temperature and humidity control cabinet according to an embodiment of the present invention. The method and system for analog signal calibration testing applied to a constant temperature and humidity control cabinet may at least include steps S100 - S400:

[0050] S100: Combine a high-precision signal generator with an intelligent measuring device, automatically adjust signal parameters, generate and measure analog signals, and build in a signal integrity protection mechanism.

[0051] S200: Integrate data processing and analysis and communication testing functions, use AI algorithms for real-time analysis of data, deviation calculation, calibration status judgment, and test report generation, and at the same time test the communication ability of the test module.

[0052] S300: Ensure the stability of the system under extreme environmental conditions and the integrity of signal transmission, and improve the system performance through advanced signal processing technologies and materials science.

[0053] S400: Provide a unified control platform and a friendly user interface, allowing users to set test parameters, view real-time data and test results, and at the same time monitor the system status and health condition.

[0054] The analog signal calibration test method and system provided by the embodiments of the present invention are mainly applied to solve the technical problem solved by the present invention, which is "how to ensure the high precision, high efficiency and stability of analog signal calibration test in a special and harsh environment of a constant temperature and humidity control cabinet, and at the same time overcome the challenges brought by signal attenuation, interference and environmental changes during signal transmission".

[0055] The present invention discloses an analog signal calibration test method and system for a constant temperature and humidity control cabinet. The system combines a high-precision signal generator and an intelligent measuring device to automatically generate and measure analog signals, and has built-in signal integrity protection to ensure high-quality signal transmission. The system integrates data processing and analysis functions, uses AI algorithms to analyze data in real time, calculate deviations, judge the calibration status, and test communication capabilities. Through advanced signal processing technologies and materials science, the system still maintains stability and signal integrity in extreme environments. A unified control platform and user interface are provided for easy parameter setting, data viewing and system monitoring, ensuring efficient and accurate testing, applicable to the signal calibration test of constant temperature and humidity control cabinets, and significantly improving test accuracy and system reliability.

[0056] S100. Combine a high-precision signal generator with an intelligent measuring device, automatically adjust signal parameters, generate and measure analog signals, and build in a signal integrity protection mechanism. Step S100 includes steps S110 - S150:

[0057] S110. The system module integrates a set of precision signal generators that can generate analog signals of various frequencies, amplitudes and waveforms, including but not limited to sine waves, square waves, triangular waves, etc., with accuracies up to the nanosecond level and microvolt level, ensuring the high quality and stability of the signals. Specifically:

[0058] ① In the module calibration test system, the analog input signals to be calibrated include voltage, current and resistance, with a total of 8 input points and 6 output points, involving 3 signal types. We introduce the following variables:

[0059] V max ,V min ,V mid : Represent the maximum value, minimum value and middle value of voltage respectively.

[0060] I max ,I min ,I mid : Represent the maximum value, minimum value and middle value of current respectively.

[0061] R max ,R min ,R mid ,R q: Represent the maximum value, minimum value, intermediate value, and an additional fourth value (Q value) of the resistor respectively.

[0062] ② We designed a new signal synthesis algorithm to ensure the high quality and stability of the signal. The core part of the algorithm is:

[0063]

[0064] Among them, S(t) represents the signal intensity at time t; A n is the amplitude of the nth harmonic, determined by parameters such as V max , V min , V mid etc.; f n is the frequency of the nth harmonic, set according to the signal frequency range such as V max , I max etc.; φ n is the phase of the nth harmonic, determined according to the impedance characteristics of signals such as R max , R min etc.; N is the number of harmonics, and usually N depends on the complexity of the signal and the required accuracy.

[0065] ③ To improve the stability and accuracy of the signal, we introduced a new dynamic adjustment mechanism for real-time monitoring and correction of signal deviations. The algorithm can be expressed as:

[0066] ΔS(t) = γ·(S(t) - S target (t))

[0067] Among them, ΔS(t) represents the signal correction amount at time t; S target t is the target signal intensity; γ is an adjustment coefficient used to control the correction speed, adjusted according to parameters such as R q and I mid etc.

[0068] ④ To solve the problems of signal attenuation and interference, we designed a new environmental adaptability algorithm for evaluating and compensating for signal changes under different environmental conditions:

[0069]

[0070] Among them, C(t) is the signal integrity coefficient at time t; R ijkl is the Riemann curvature tensor, representing the degree of signal distortion caused by environmental changes; Γ is the signal propagation path; dS ij and dS kl are differential area elements on the path. By calculating C(t), we can adjust the signal parameters in real time to ensure that the signal integrity is maintained under extreme environmental conditions of a constant temperature and humidity control cabinet.

[0071] ⑤Finally, all signal parameters, measurement results, and adjustment histories are recorded for subsequent data analysis and deviation calculation. We adopted a new deviation analysis method to quantify the accuracy and stability of signal generation:

[0072]

[0073] where ∈ is the total deviation of the signal; M is the number of signals tested, corresponding to 86 groups of data points; S i and S target,i are the actual value and target value of the i-th group of signals, respectively.

[0074] S120, equipped with highly sensitive sensors and measurement devices, can automatically detect and measure key parameters of signals such as amplitude, frequency, and phase, and can also monitor signals in real time to capture transient changes in signals. Specifically:

[0075] ①In the intelligent measurement module, we adopted a unique signal analysis algorithm based on the core data input sources in the patent, including three types of analog input signals: voltage, current, and resistance, as well as the maximum value, minimum value, and intermediate value. We define the following variables:

[0076] V max ,V min ,V mid : representing the maximum value, minimum value, and intermediate value of voltage, respectively.

[0077] I max ,I min ,I mid : representing the maximum value, minimum value, and intermediate value of current, respectively.

[0078] R max ,R min ,R mid ,R q : representing the maximum value, minimum value, intermediate value, and an additional fourth value (Q value) of resistance, respectively.

[0079] ②To accurately measure the amplitude, frequency, and phase of signals, we designed a new composite algorithm to capture transient changes and frequency-domain characteristics of signals. The algorithm includes the following steps:

[0080] A. Signal sampling and preprocessing: First, sample the signal at a sampling frequency higher than twice the highest frequency component of the signal to meet the Nyquist sampling theorem. Let the sampled signal be s(t).

[0081] B. Amplitude measurement: Calculate the spectrum S(f) of the signal through FFT, where f is the frequency, and the amplitude can be obtained through the modulus value |S(f)| of the spectrum. Let F be the set of characteristic frequencies of the signal, and the amplitude A(f) can be expressed as:

[0082] A(f) = |S(f)|, f ∈ F

[0083] C. Frequency detection: The frequency f can be determined by the main peak position of the spectrum S(f). Let f 0 be the fundamental frequency of the signal, which is calculated through the main peak position of FFT.

[0084] D. Phase measurement: Use the Hilbert transform HT to estimate the instantaneous phase θ(t) of the signal. After the Hilbert transform, the analytic form of the signal is where is the Hilbert transform of s(t). The instantaneous phase θ(t) can be expressed as:

[0085] θ(t) = ∠a(t)

[0086] ③ To ensure the integrity of the signal under extreme environmental conditions, we introduce a new environmental adaptability evaluation algorithm based on the Riemann curvature tensor R. This algorithm takes into account the environmental changes along the signal propagation path, such as the effects of temperature and humidity. The signal integrity C can be expressed as:

[0087]

[0088] where Γ represents the propagation path of the signal, dS ij and dS kl are the differential area elements on the path.

[0089] ④ We adopt a new real-time deviation analysis algorithm to quantify the deviation between the actual value and the target value of the signal. Let S actual (t) and S target (t) be the actual value and the target value of the signal respectively, and the deviation δ(t) can be expressed as:

[0090]

[0091] where T is the time window for analysis.

[0092] ⑤ Through the above algorithms, the intelligent measurement module can automatically detect and measure the amplitude, frequency, and phase of the signal, and simultaneously capture the transient changes of the signal. The originality of this series of algorithms lies in its fine analysis of the signal, sensitivity to environmental changes, and real-time deviation correction ability, which greatly improves the measurement accuracy and efficiency.

[0093] S130. An adaptive algorithm is adopted, which can automatically optimize signal parameters according to different test requirements and environmental conditions. For example, it can adjust the frequency and amplitude of the signal at different temperatures to achieve the best signal transmission effect. Specifically:

[0094] ① In our invention patent, the intelligent signal generation and measurement module needs to automatically adjust signal parameters according to different test requirements and environmental conditions to achieve the best signal transmission effect. To achieve this goal, we have designed a set of original algorithms to ensure the stability and accuracy of the signal in the constant temperature and humidity control cabinet.

[0095] ② Input data definition: T: Ambient temperature, in degrees Celsius.

[0096] H: Ambient humidity, in percentage.

[0097] S: Signal type identifier (voltage, current, resistance).

[0098] F 0 : Fundamental frequency of the signal, in Hertz.

[0099] A 0 : Fundamental amplitude of the signal, in volts or amperes or ohms.

[0100] ΔF(T, H): Frequency adjustment amount, affected by temperature and humidity, in Hertz.

[0101] ΔA(T, H): Amplitude adjustment amount, affected by temperature and humidity, with the same unit as the fundamental amplitude.

[0102] ③ We have adopted a new adaptive algorithm, which dynamically adjusts signal parameters by solving partial differential equations. The core equation of the algorithm is as follows:

[0103]

[0104] Where: F is the frequency of the signal, varying with time t and space x; A is the amplitude of the signal, varying with time t and space x; α, β, γ, δ, η, ζ are constant coefficients, determined by the signal type S and environmental conditions; x represents the position coordinate of the signal transmission path.

[0105] ④ Detailed explanation of the operation process

[0106] A. Initialization stage: At the beginning of the algorithm, according to the signal type S and environmental conditions T, H, initialize the fundamental frequency F 0 and amplitude A 0 .

[0107] B. Dynamic Adjustment Phase: The algorithm calculates the changes in the signal frequency F and amplitude A in real time by solving the above partial differential equations. At each time step Δt, the algorithm updates the values of the frequency and amplitude to reflect the impact of temperature and humidity changes on signal transmission.

[0108] C. Environmental Response: The and terms in the algorithm reflect the impact of environmental humidity and temperature gradient on signal parameters, ensuring that signal transmission remains optimal under changing environmental conditions.

[0109] D. Feedback and Optimization: By continuously monitoring the efficiency and quality of signal transmission, the algorithm can adjust the values of α, β, γ, δ, η, ζ to adapt to different signal types and environmental conditions, achieving optimal adjustment of signal parameters.

[0110] ⑤ Through the above algorithm, the intelligent signal generation and measurement module can automatically adjust the frequency and amplitude of the signal according to the real-time environmental conditions in the constant temperature and humidity control cabinet, ensuring the best transmission effect of the signal under different temperatures and humidities. This original algorithm not only improves the stability and accuracy of signal transmission, but also significantly reduces manual intervention, improving the efficiency and reliability of module calibration testing.

[0111] S140. The built-in signal integrity protection mechanism can identify and prevent interference and attenuation of signals during transmission. Through dynamic noise suppression and signal enhancement technologies, it ensures the integrity and clarity of signals in extreme environments. Specifically:

[0112] ① In our invention patent, the signal integrity protection mechanism of the intelligent signal generation and measurement module is dedicated to identifying and preventing signal attenuation and interference under extreme environmental conditions, such as in the constant temperature and humidity control cabinet. Through dynamic noise suppression and signal enhancement technologies, it ensures the integrity and clarity of signals. To achieve this goal, we designed an original algorithm that combines advanced mathematical principles and signal processing technologies.

[0113] ② Input Data Definition

[0114] S(t): The original signal, a function that varies with time t.

[0115] E(t): The environmental interference signal, a function that varies with time t, including electromagnetic interference, signal drift caused by temperature changes, etc.

[0116] D(t): The signal attenuation function, a function that varies with time t, reflecting the attenuation degree of the signal during transmission.

[0117] α: The signal enhancement coefficient, used to compensate for signal attenuation.

[0118] β(t): The dynamic noise suppression coefficient, a function that varies with time t, used to adjust the degree of noise suppression.

[0119] ③ We adopted a new signal enhancement and noise suppression algorithm, which combines the frequency-domain and time-domain analysis of the signal. The core equations of the algorithm are as follows:

[0120] S′(t) = S(t) * α(t)

[0121] α(t) = exp(-∫ 0 D(τ)dτ)

[0122] E'(t) = E(t) * β(t)

[0123]

[0124] Where: S'(t) is the signal after signal enhancement; α(t) is the signal enhancement coefficient that varies with time, calculated based on the signal attenuation function D(t) to ensure the integrity of the signal during transmission; E'(t) is the interference signal after noise suppression; β(t) is the dynamic noise suppression coefficient that varies with time, calculated based on the frequency-domain characteristics F{E(t)} of the interference signal E(t), where F represents the Fourier transform, to ensure effective noise suppression; λ is the noise suppression threshold, determined by the signal type and environmental conditions.

[0125] ④ Detailed Explanation of the Running Process

[0126] A. Signal Attenuation Compensation: The algorithm first calculates the signal enhancement coefficient α(t). Based on the signal attenuation function D(t), it dynamically adjusts the gain of the signal in the form of an exponential function to compensate for the attenuation of the signal during transmission.

[0127] B. Noise Suppression: Then, the algorithm calculates the dynamic noise suppression coefficient β(t). By analyzing the frequency-domain characteristics of the environmental interference signal E(t), it dynamically adjusts the degree of noise suppression to ensure the clarity of the signal during transmission.

[0128] C. Signal Enhancement and Noise Suppression: The algorithm multiplies the original signal S(t) by the signal enhancement coefficient α(t) to compensate for signal attenuation. At the same time, it multiplies the environmental interference signal E(t) by the dynamic noise suppression coefficient β(t) to reduce the impact of noise on the signal.

[0129] D. Signal Integrity Evaluation: Finally, the algorithm evaluates the integrity and clarity of the signal by calculating the signal-to-noise ratio (SNR) of the enhanced signal S'(t) and the suppressed interference signal E'(t) to ensure the transmission quality of the signal under extreme environmental conditions.

[0130] ⑤ Through the above algorithm, the intelligent signal generation and measurement module can effectively identify and prevent interference and attenuation of signals during transmission, ensuring the integrity and clarity of signals in extreme environments. This original algorithm not only improves the stability and accuracy of signal transmission, but also significantly reduces errors in signal calibration tests, improving the efficiency and reliability of module calibration tests.

[0131] S150. This module has a self-detection function and can perform internal diagnosis regularly to detect potential hardware or software problems in a timely manner and take corresponding corrective measures to improve the reliability and service life of the system.

[0132] Specifically:

[0133] ① Data preprocessing and feature extraction: Define variables: Let X i represent the input value of the i-th analog signal point, where i = 1, 2,..., N, and N is the total number of signal points; Y j represent the expected response value of the j-th signal type, where j = 1, 2, 3, corresponding to voltage, current, and resistance signals respectively; E ij represent the deviation value of the i-th signal point under the j-th signal type.

[0134] Data normalization: Use Z-score standardization to obtain where μ j and σ j are the mean and standard deviation of signal type j respectively.

[0135] ② Model establishment: Construct a prediction model

[0136]

[0137] where, w 0 , w ij , w ijk , w ijj are model parameters.

[0138] ③ Parameter estimation and optimization

[0139] Least squares method: Use the least squares method to estimate model parameters, that is, minimize the sum of squared residuals

[0140]

[0141] Regularization: To prevent overfitting, apply L2 regularization, that is, add λ to the loss function where λ is the regularization coefficient.

[0142] ④ Dynamic threshold setting: Use historical data to calculate the normal range [l ij , uij , where l ij and u ij are the lower and upper limits respectively. Anomaly detection: Continuously monitor the signal X ij . If X ij exceeds the range of [l ij , u ij , it is marked as an anomaly.

[0143] ⑤ Fault prediction: Once an anomaly is detected, use the trained model F(Z ij ) to predict the probability P ij of potential faults. Intervention decision-making: If P ij >P threshold , where P threshold is the preset fault probability threshold, trigger corresponding corrective measures, such as restarting the system, adjusting the parameters of the signal generator, or notifying the maintenance team.

[0144] ⑥ Model update: Regularly update the model parameters using new datasets to adapt to changes in signal characteristics. Machine learning: Introduce machine learning techniques, such as neural networks or support vector machines, to enhance the model's prediction ability and self-learning ability.

[0145] ⑦ Generate a report: Collect the results of fault detection and prediction, and generate a detailed diagnostic report, including the fault type, location, severity, and recommended corrective measures.

[0146] S200, the functions of fusion data processing and analysis, and communication testing, use AI algorithms for real-time analysis of data, deviation calculation, calibration status judgment, and test report generation, and at the same time test the communication ability of the module.

[0147] Step S200 includes steps S210 - S240:

[0148] S210, Use AI algorithms to perform real-time analysis on the collected data, including signal quality assessment, data trend prediction, anomaly detection, etc., to quickly respond to changes during the test process. Specifically:

[0149] ① First, receive a series of analog signal data from the intelligent signal generation and measurement module, including voltage, current, and resistance input signals. For each signal type, we collect signal samples of the maximum value, minimum value, and intermediate value, totaling 3*8 + 3*8 + 4*8 + 6 = 86 groups of data points, covering all analog output points and input points. In addition, it also includes MODBUS-RTU communication protocol data from the 485 communication port.

[0150] ② Use the adaptive filtering technique in the AI algorithm to evaluate the signal quality, identify and eliminate abnormal data points caused by noise. By calculating the signal-to-noise ratio (SNR) and the signal distortion rate (SDR), we can quantify the purity and integrity of the signal. Assuming S(t) is the original signal intensity at time t and N(t) is the noise intensity at the same time point, then SNR is defined as The signal distortion rate SDR can be determined by comparing the difference between the original signal and the filtered signal.

[0151] ③ Use time series analysis methods, such as deep learning models like ARIMA (Autoregressive Integrated Moving Average Model) or LSTM (Long Short-Term Memory Network), to predict the signal data to identify future signal behavior patterns. This helps to plan in advance for possible signal fluctuations or equipment performance degradation and take preventive measures. Let X t be the signal value at time t, then the prediction model represents the predicted signal values for the next k time points.

[0152] ④ Apply statistical methods and machine learning algorithms (such as Isolation Forests or One-Class SVM) to detect outliers in the data. We maintain a model of normal signal behavior and compare the real-time data with it. Any behavior that significantly deviates from the expected will be marked as a potential abnormal event. Let μ and σ be the mean and standard deviation of the signal respectively, then any signal value falling outside μ ± 3σ is considered abnormal.

[0153] ⑤ Fast response mechanism: Once an anomaly is detected or an adverse trend is predicted, the system immediately activates the fast response mechanism. This includes adjusting the parameters of the signal generator to optimize the signal quality, triggering a maintenance alert, or activating an alternative communication path to ensure the continuity of data transmission. The response time depends on the severity of the anomaly and the redundancy design of the system, but the goal is to restore the system performance in the shortest possible time.

[0154] Through the above process, the integrated data processing center can monitor and analyze the output data of the signal generation and measurement module in real time, ensure that any changes can be quickly responded to during the test process, improve the overall test efficiency and accuracy, and at the same time reduce the need for manual intervention and the risk of potential human errors.

[0155] S220: It can automatically calculate the deviation between the actual value and the target value of the signal, determine whether the module needs to be calibrated, and determine the optimal calibration strategy to improve the calibration efficiency and accuracy. Specifically:

[0156] ① Target value setting: Set target values for each analog output point and input point according to the module calibration standard. For example, for a voltage input signal, set the target voltage values for the maximum, minimum, and intermediate values. Actual value acquisition: Obtain the actual measured values of the signals from the intelligent signal generation and measurement module. These values have undergone preliminary quality assessment and anomaly detection during the real-time data analysis stage to ensure data accuracy and reliability.

[0157] ② Deviation formula: Use the root mean square error (RMSE) as the index for deviation calculation, which is applicable to the continuous change of signal values. For signal point i and signal type j, the deviation δ ij is calculated as follows:

[0158]

[0159] where y ijk is the target value, is the actual value, and n is the number of repeated measurements.

[0160] Deviation matrix construction: Create a deviation matrix for all signal points and types to facilitate subsequent analysis and the formulation of calibration strategies.

[0161] ③ Calibration status judgment: Threshold setting: Set the deviation threshold θ according to the system accuracy requirements. Any deviation exceeding this threshold indicates the need for calibration. Calibration requirement judgment: Traverse the deviation matrix. For any signal point i and type j, if δ ij > θ, then mark this point as needing calibration.

[0162] ④ Calibration priority ranking: Determine the calibration priority order according to the deviation magnitude and the importance of signal types. Signal points with higher priority are calibrated first. Calibration strategy planning: Based on historical calibration data and machine learning algorithms, predict which calibration strategy (such as adjusting gain, bias, or filter parameters) is most effective for specific deviation types. Resource allocation and scheduling: Consider the resources required for calibration (such as time, manpower, and equipment), and reasonably arrange calibration tasks to ensure maximum efficiency.

[0163] ⑤ Automatic calibration execution: Send the optimal calibration strategy to the intelligent signal generation and measurement module to execute the calibration operation. Result verification: After calibration, measure the signal values again, calculate the new deviation matrix, and verify the calibration effect.

[0164] Through this series of automated processes, the integrated data processing center can significantly improve calibration efficiency and accuracy, reduce manual intervention, ensure that the module always performs at its best in the constant temperature and humidity control cabinet, and at the same time meet the signal integrity and accuracy requirements under extreme environmental conditions.

[0165] S230. Based on the test data and analysis results, automatically generate a detailed test report, including test conditions, test results, analysis conclusions, and suggestions, to facilitate users' quick understanding of the test situation. Specifically:

[0166] ① First, the module integrates test data from various subsystems of the comprehensive data processing center, including but not limited to the actual value and target value of the signal, deviation calculation results, calibration status judgment results, and signal integrity inspection results. Metadata recording: Record the test date, time, environmental conditions (temperature, humidity), device model used, tester ID (if any), and the standards and specifications based on which the test is conducted.

[0167] ② Deviation analysis: Based on the previously calculated deviation values, analyze which signal points have deviations exceeding the preset threshold, and indicate the signal points and their types that need to be calibrated. Performance evaluation: Evaluate the overall performance of the module, including signal attenuation, interference level, and stability under extreme environmental conditions. Calibration effectiveness confirmation: Confirm whether the calibrated signal values meet the expected accuracy standards, compare the deviation values before and after calibration, and quantify the calibration effect.

[0168] ③ Define the structure of the report, usually including sections such as summary, test conditions, test results, analysis conclusions, suggestions, and appendices. Content filling: Use the test data and analysis results to fill the report template to ensure the accuracy and integrity of the information.

[0169] ④ Use a programming language or a professional report generation tool to automatically fill the template according to the test data and generate a test report in PDF or HTML format. Charts and graphs: Automatically generate charts and graphs to visually display the test results, such as deviation distribution diagrams, signal strength trend charts, etc., to enhance the readability of the report.

[0170] ⑤ Conduct a final spelling, grammar, and logic check to ensure the professionalism and accuracy of the report. Report distribution: Send the report to relevant responsible persons and team members via email or the company's internal system to facilitate their timely review and taking necessary actions.

[0171] ⑥ Store the generated test report in a database or a document management system for future retrieval and reference. Version control: Maintain the historical versions of the report, record the key information of each test and calibration, and facilitate tracking and auditing.

[0172] Through the above automated process, the test report automatic generation module not only saves the time of manually writing reports but also improves the accuracy and consistency of the reports, ensuring that users can quickly understand the calibration test situation of the module and providing strong support for subsequent decision-making and optimization.

[0173] S240 not only processes internal data but also is responsible for testing the communication performance between modules, evaluating indicators such as signal transmission rate and packet loss rate to ensure the overall communication quality and stability of the system. Specifically:

[0174] ① Before starting the test, the system will confirm the connection status of all modules to be tested to ensure that each module has been correctly connected to the network, including those modules that communicate using the MODBUS-RTU protocol through the 485 communication port.

[0175] ② According to our patent description, the system will set the signal transmission rate, packet loss rate, etc. as the main test indicators. In addition, the stability, attenuation, and interference of the signal will also be considered to ensure the integrity and accuracy of the signal under various environments.

[0176] ③ The system will send a series of data packets to each module, record the transmission time and response time, and calculate the signal transmission rate based on this. This includes testing the real-time data exchange speed for analog input signal points (voltage, current, resistance). Packet loss rate evaluation: During the test, the system will continuously monitor the loss of data packets, especially for those signals with long-distance transmission, and evaluate the impact of signal attenuation and interference on the integrity of the data packets. Stability and interference test: The system will repeat the above tests under different environmental conditions (such as temperature and humidity changes) to verify the stability and anti-interference ability of the communication link.

[0177] ④ After collecting all the test data, the system will perform statistical analysis on key indicators such as signal transmission rate and packet loss rate to identify potential communication bottlenecks or unstable factors. By comparing the test results under different environmental conditions, evaluate the attenuation degree and interference impact of the signal to ensure good signal integrity even under extreme environmental conditions.

[0178] ⑤ Based on the analysis results, the system automatically generates a detailed communication ability test report, including test conditions, test results, specific manifestations of signal attenuation and interference, and the overall evaluation of communication quality and stability.

[0179] ⑥ If any situation where the communication performance does not meet the standard is found, the system will automatically trigger an optimization process, which may include adjusting the parameters of the signal source, improving the signal path, or enhancing anti-interference measures.

[0180] Through the above steps, the communication ability test module can comprehensively evaluate the communication efficiency and stability between modules within the system, ensuring that the analog signal calibration test system of the constant temperature and humidity control cabinet can operate reliably under various working conditions. This not only improves the accuracy of the test but also greatly reduces the need for manual intervention and enhances the overall work efficiency.

[0181] S300. Ensure the stability of the system under extreme environmental conditions and the integrity of signal transmission, and improve the system performance through advanced signal processing technologies and materials science. Step S300 includes steps S310 - S340:

[0182] S310. Specifically designed to work in special environments such as constant temperature and humidity control cabinets. By selecting suitable materials and packaging technologies, enhance the system's resistance to environmental factors such as temperature and humidity. Specifically:

[0183] ① Considering that the interior of a constant temperature and humidity control cabinet may experience significant temperature and humidity changes, the module housing and internal components are made of materials that can withstand extreme temperatures and humidity. For example, materials such as polytetrafluoroethylene (PTFE) are used, which have excellent chemical stability and low friction coefficients, reducing mechanical wear and chemical corrosion caused by environmental factors. Hermetic packaging technology: The module adopts a sealed design and uses technologies such as waterproof breathable membranes and sealing rings to ensure that the internal circuit is not affected by external moisture, while allowing the heat generated inside to be effectively dissipated, keeping the electronic components working within an appropriate temperature range.

[0184] ② To address the thermal expansion and contraction effects that may be caused by temperature changes, highly efficient heat sinks and heat dissipation fins are integrated inside the module to quickly conduct the heat generated during the signal processing process and prevent overheating. Humidity sensor and control mechanism: The built-in humidity sensor continuously monitors the humidity level inside the module. Once the detected humidity exceeds the safe range, the system will automatically activate the dehumidification mechanism, such as using desiccants or heating elements, to maintain an internal dry state.

[0185] ③ To resist electromagnetic interference and signal attenuation, the internal circuit design of the module includes shielding layers and filters. These measures can protect the signal from external environmental noise and ensure the integrity and accuracy of the signal during long-distance transmission. Signal conditioning and amplification: In response to the attenuation that the signal may encounter in extreme environments, the module is equipped with automatic signal conditioning and amplification functions, which can dynamically adjust the signal strength to ensure that the analog signals (voltage, current, resistance) generated by the signal generator can still be accurately captured and processed even under harsh conditions.

[0186] ④ The module has self-monitoring capabilities, can real-time detect changes in environmental parameters such as temperature and humidity, and automatically adjust working parameters such as signal frequency and power according to preset algorithms to adapt to the current environmental conditions and ensure system stability and measurement accuracy. Fault warning and recovery: When detecting environmental conditions outside the normal working range, the system will automatically activate the warning mechanism to notify the maintenance personnel to check the environmental conditions or make necessary system adjustments to prevent potential hardware failures.

[0187] Through the above measures, the extreme environment adaptation module ensures that in the complex and variable environment of the constant temperature and humidity control cabinet, the module calibration test system can continuously and accurately complete the calibration and test tasks of analog signals, while reducing the measurement errors and system failure risks caused by environmental factors.

[0188] S320. Advanced signal processing algorithms are adopted, such as digital filtering, signal recovery, etc., to maintain high-quality signal transmission even in harsh environments and reduce signal distortion. Specifically:

[0189] ① Receive signals from the intelligent signal generation and measurement module. These signals include voltage, current, and resistance signals, totaling 86 groups of data points, covering all signal types of analog output points and input points. Filter design: Digital filtering techniques, such as infinite impulse response (IIR) and finite impulse response (FIR) filters, are used to remove noise and interference in the signals. The filter design takes into account the spectral characteristics of the signals and environmental factors inside the constant temperature and humidity control cabinet, such as additional noise that may be introduced by temperature and humidity changes. Adaptive filtering: The filter parameters can be adaptively adjusted according to the real-time characteristics of the signals to cope with sudden noise in the signals and environmental changes, ensuring the cleanliness of the signals.

[0190] ② Identify signal distortion during signal transmission, such as amplitude attenuation, phase shift, or frequency distortion, by comparing the theoretical value and the actual measured value of the signal. Signal recovery algorithms: Signal recovery techniques, such as compressive sensing and wavelet transform, are applied to reconstruct the original form of the signal and reduce the impact of distortion. These algorithms can recover the signal from a small amount of sampled data, especially suitable for the case where the signal suffers attenuation during transmission. Signal enhancement: For weak signals, the signal processing technology module will apply signal enhancement algorithms to moderately increase the amplitude of the signal to overcome the attenuation that may be encountered during long-distance transmission, while ensuring that the signal is not distorted.

[0191] ③ Continuously monitor environmental parameters such as temperature and humidity to adjust the signal processing strategy in real time. For example, in a high-humidity environment, the signal is more likely to be interfered with. At this time, the signal processing technology module will correspondingly strengthen the filtering and signal recovery efforts. Adaptive modulation and demodulation: Dynamically adjust the modulation method of the signal according to the environmental monitoring results to optimize the signal transmission efficiency and quality. For example, when signal attenuation is detected, the system may switch to a more stable modulation method, sacrificing a certain amount of bandwidth in exchange for better signal integrity.

[0192] Through the application of the above signal processing technologies, the environmental adaptability and stability guarantee module can effectively reduce signal distortion in harsh environments, ensure high-quality signal transmission, and thus improve the overall accuracy and reliability of the module calibration test system, especially under special conditions such as the constant temperature and humidity control cabinet.

[0193] S330. Use high-performance insulating materials and conductive materials to enhance the corrosion resistance and anti-aging ability of system components and extend the system life. Specifically:

[0194] ① Select materials with excellent electrical insulation properties, such as polytetrafluoroethylene (PTFE) and epoxy resin, for the outer skin of signal cables and the insulation layer of internal connectors to ensure that signal transmission is not affected even in high-humidity environments, reducing the possibility of signal attenuation and interference. Conductive materials: Use metal alloys with high conductivity and good corrosion resistance, such as copper-nickel alloy or gold-plated contacts, for the connectors and contacts of signal transmission cables to ensure efficient signal transmission while reducing the risk of oxidation and corrosion.

[0195] ② Conduct special surface treatment on conductive materials, such as gold plating, silver plating or nickel plating, to form a protective film to effectively resist the erosion of moisture and corrosive gases and improve the durability of the materials. Material aging test: Before the materials are put into use, conduct accelerated aging tests to simulate the extreme environmental conditions in the constant temperature and humidity control cabinet to evaluate the long-term stability and durability of the materials and ensure that the selected materials can meet the requirements of long-term stable operation.

[0196] ③ Utilize advanced manufacturing technologies, such as laser cutting and precision injection molding, to ensure the precise dimensions of system components, reduce the gaps during assembly, and avoid signal leakage and performance degradation caused by poor assembly. Strict quality control: During the production process, conduct strict quality inspections on each component, including physical and electrical performance tests of the materials, to ensure that each component meets high standards and can withstand the environmental tests in the constant temperature and humidity control cabinet.

[0197] ④ During the system operation, continuously monitor environmental conditions, such as temperature and humidity changes, and the aging status of materials, promptly discover potential problems of material performance degradation, and take necessary maintenance measures. Regular maintenance and replacement: According to the aging cycle of materials, formulate a reasonable maintenance plan, regularly check and replace vulnerable components to ensure the long-term stable operation of the system and extend the system life.

[0198] Through the application of the above materials science and the carefully designed system components, the environmental adaptability and stability guarantee module can significantly improve the corrosion resistance and anti-aging ability of the system in extreme environments, ensure the integrity and accuracy of signal transmission, and thus achieve the long-term stable operation of the module calibration test system in the constant temperature and humidity control cabinet to meet the requirements of high-precision signal generation and measurement.

[0199] S340. Build in an efficient heat dissipation mechanism to ensure that electronic components do not overheat during long-term operation, maintain the system working within a safe temperature range, and improve the overall stability and safety. Specifically:

[0200] ①Multiple high-precision temperature sensors are installed in the system to monitor the temperature of key electronic components and modules in real time, including signal generators, measurement units, processors, and memories, etc. Temperature threshold setting: According to the maximum operating temperature limit of the electronic components, set the temperature warning threshold. Once the monitored temperature approaches or exceeds the warning threshold, the system will automatically activate the heat dissipation mechanism.

[0201] ②Utilize the high-efficiency heat conduction characteristics of heat pipes to quickly transfer heat from the heat-generating components to the heat sink. Through the large surface area of the heat sink in contact with the air, accelerate heat dissipation. Fan control system: According to the feedback of the temperature sensor, intelligently regulate the fan speed to ensure that the air flow rate can be quickly increased when needed to accelerate heat dissipation, and at the same time reduce the fan speed when the temperature is low to reduce noise and energy consumption.

[0202] ③Use thermal pads or thermal paste between the heat-generating components and the heat sink to improve thermal contact and enhance heat transfer efficiency, ensuring that heat can be evenly distributed and avoiding local overheating. Optimized air flow design: The internal structure design of the system takes into account the air flow path to ensure that cold air can smoothly enter and hot air can be effectively discharged, forming a good natural convection cycle.

[0203] ④Combined with the temperature monitoring data, the system adopts an intelligent thermal management algorithm to dynamically adjust the intensity of the heat dissipation mechanism, balance the relationship between the heat dissipation effect and energy consumption, and avoid resource waste caused by excessive heat dissipation. Coolant circulation system: Under high heat load conditions, the system may be equipped with a coolant circulation system. Through the high heat capacity characteristics of the liquid, it can more effectively absorb and transfer heat, keeping the system temperature within a safe range.

[0204] ⑤The system undergoes strict thermal shock tests before leaving the factory to ensure that it can still operate stably under extreme temperature change conditions and adapt to the special environment of the constant temperature and humidity control cabinet. Long-term operation test: Through long-term operation tests, verify the effectiveness of the thermal management and heat dissipation mechanism, ensure that the electronic components will not overheat during long-term operation of the system, and improve the overall stability and safety.

[0205] Through the implementation of the above thermal management and heat dissipation mechanism, the environmental adaptability and stability guarantee module can ensure that even during long-term operation and under extreme environmental conditions, the system can maintain operation within a safe temperature range, effectively improving the stability and safety of the system and meeting the requirements of high-precision signal generation and measurement.

[0206] S400 provides a unified control platform and a friendly user interface, allowing users to set test parameters, view real-time data and test results, and at the same time monitor the system status and health status. Step S400 includes steps S410 - S440:

[0207] S410. Provide a centralized control interface that allows users to easily configure test parameters such as signal type, frequency range, test duration, etc., simplifying the operation process. Specifically:

[0208] ① Develop an intuitive graphical user interface that enables users to configure test parameters through simple click and drag operations. The interface layout is clear, categorically displaying different types of signals and test options. Multilingual support: Considering international usage scenarios, the interface provides multilingual versions to ensure that global users can use the system without barriers.

[0209] ② Users can select signal types from a drop-down menu, including voltage, current, and resistance, and the system will automatically load the corresponding signal parameter setting options. Frequency range setting: For each signal type, users can set the frequency range, and the system will adjust the output of the signal generator according to the selected range. Test duration: Users can specify the test duration, and the system will automatically control the signal generation and measurement process until the predetermined time ends.

[0210] ③ Users can create custom test sequences, such as first testing voltage signals, then current signals, and finally resistance signals, and the system will automatically execute the tests in the set order. Saving and loading test configurations: Allow users to save common test configurations as preset files for direct loading and use during the next test, improving work efficiency.

[0211] ④ Real-time display of the test progress bar and the currently executing test items, enabling users to understand the test status at any time. Immediate parameter adjustment: During the test process, users can adjust test parameters in a timely manner as needed without interrupting the test process.

[0212] ⑤ After the test is completed, the platform automatically summarizes the test results and displays the deviation between the measured value and the target value of the signal in the form of a chart, facilitating users to quickly evaluate the test accuracy. Report generation and export: Users can generate a detailed test report with one click, including test conditions, results, and analysis, and support export in multiple formats such as PDF, Excel, etc.

[0213] Through the functions of the above unified control platform, users can configure and execute test tasks in a more efficient and intuitive manner, significantly reducing the time and complexity required for traditional manual testing, while ensuring test accuracy and consistency, meeting the requirements of high-precision signal generation and measurement.

[0214] S420. The user interface displays real-time test data and system status, including signal waveforms, measurement results, system health indicators, etc., facilitating monitoring and analysis. Specifically:

[0215] ① The high-precision sensors and measurement devices built into the system continuously capture analog signals from the constant temperature and humidity control cabinet, including voltage, current, and resistance input signals. These signals come from the analog input and output points of the module, covering various test points such as maximum, minimum, and intermediate values. Data conversion and analysis: The collected raw analog signals are converted into digital signals through analog-to-digital conversion (ADC), and then analyzed by the internal algorithm of the system to calculate the deviation between the actual value and the theoretical value of the signal.

[0216] ② The user interface is equipped with a real-time waveform graph to dynamically display the change trends of signals, including the waveforms of voltage, current, and resistance signals, facilitating users to observe the stability and periodic characteristics of the signals. Presentation of measurement results: The measurement results are displayed in numerical form in real time on the interface, including the instantaneous value, average value, maximum value, and minimum value of the signal, as well as the deviation from the standard value, ensuring that users can promptly grasp the test accuracy. System health indicators: The system status bar displays health indicators such as temperature, humidity, power status, and signal quality, helping users monitor the operation status of the system and promptly detect potential problems.

[0217] ③ Users can set the normal range threshold of the signal. Once the measured value exceeds the set range, the system will automatically trigger an alarm to remind users to check and adjust the test environment or equipment status. Fault diagnosis assistance: When the system detects an abnormality, the interface will highlight the abnormal data and provide possible fault causes and recommended troubleshooting steps to assist users in quickly locating the problem.

[0218] ④ Users can view the trend graph of historical data through the analysis tools on the interface, compare the test results in different time periods, and identify the signal change patterns and system performance trends. Data export function: The test data can be saved in real time to the local database or the cloud, and users can choose to export the data to files in CSV, Excel, or other formats for subsequent in-depth analysis and report preparation.

[0219] Through the function of real-time data visualization, users can not only monitor the test process instantaneously but also respond quickly to abnormal situations, ensuring the accuracy and efficiency of the test, while reducing the errors caused by manual intervention and ensuring the reliability and stability of the entire calibration test system in the application of the constant temperature and humidity control cabinet.

[0220] S430. Intuitively present the test results, including graphical data, statistical summaries, and test reports, facilitating users to understand and share the test results. Specifically:

[0221] ①The module first collects all test data, including measured values, theoretical values, deviation values of signals, as well as system health indicators and environmental parameters such as temperature, humidity, etc. Statistical calculation: Statistically analyze the collected data, calculate statistics such as average deviation, maximum deviation, minimum deviation, etc., as well as the stability index of the signal and system performance indicators.

[0222] ②Draw a signal waveform diagram to visually show the trends of voltage, current, and resistance signals over time, helping users identify the periodicity, stability, and any abnormal fluctuations of the signals. Deviation distribution diagram: Generate a deviation distribution diagram to show the deviation distribution of different signal points, highlighting the signal points with larger deviations, facilitating users to quickly locate the modules that need calibration or inspection. Environmental parameter diagram: Provide charts of environmental parameters such as temperature and humidity over time to assist users in analyzing the impact of environmental factors on test results.

[0223] ③Generate a test summary, including test date, test conditions, number of test points, test types (voltage, current, resistance), and key test results such as percentage of average deviation, pass rate, etc. Test report: Automatically generate a detailed test report based on the test data and statistical summary. The report contains detailed results of all test points, deviation analysis, system health status, environmental parameter records, as well as test conclusions and suggestions.

[0224] ④The user interface adopts an interactive chart design. Users can carefully observe and analyze data details through functions such as zooming, panning, and selecting specific areas. Export and sharing function: The interface provides functions to export test results and reports, supporting export in PDF, Excel, or image formats, facilitating users to share test results and conduct subsequent analysis.

[0225] ⑤Integrate data analysis tools such as trend analysis, deviation comparison, and statistical tests to help users deeply explore the meaning behind the data. Data screening and filtering: Provide data screening and filtering functions. Users can filter data according to conditions such as signal type, test point, or time range, focusing on specific test results.

[0226] Through the functions of the above - mentioned test result display module, users can easily understand and share test results, and at the same time conduct in - depth data analysis to ensure that the application of the module calibration test system in the constant temperature and humidity control cabinet is both efficient and accurate.

[0227] S440. Continuously monitor the operating status and health status of each module of the system, including power status, temperature level, fault alarm, etc., and give early warnings of potential problems in a timely manner to ensure the normal operation of the system. Specifically:

[0228] ① The system status monitoring module continuously collects data from various sensors and devices. This data includes, but is not limited to: Power status: Monitor the voltage and current of the power supply unit to ensure stable power supply. Temperature level: Use temperature sensors to monitor the internal and external temperatures of the constant temperature and humidity control cabinet, as well as the surface temperature of electronic components to prevent overheating. Humidity level: Similarly monitored through humidity sensors to ensure that the humidity inside the cabinet meets the standards and prevent the impact of moisture on electronic components. Signal quality: Monitor the input and output points of analog signals, including voltage, current, and resistance signals, to ensure signal integrity and accuracy. Fault detection: The system detects hardware failures, software anomalies, or communication errors, such as MODBUS-RTU communication interruptions.

[0229] ② The system performs trend analysis on the collected data to identify any patterns that may indicate future problems, such as a gradual increase in temperature or a decrease in signal quality. Threshold detection: Set the normal operating range of key parameters. Once the threshold is exceeded, the system immediately triggers an alarm. Health score: Comprehensively evaluate the system health status based on multiple parameters and give a quantitative score to facilitate a quick understanding of the overall system state.

[0230] ③ When any anomalies or potential faults are detected, the system immediately issues an alarm, notifying maintenance personnel through the user interface, email, or text message. Automatic response: For some known problems, the system can automatically execute preset response measures, such as adjusting the cooling system to enhance heat dissipation, or temporarily isolating the faulty module. Fault diagnosis: Provide fault diagnosis information to guide maintenance personnel to quickly locate the root cause of the problem and reduce downtime.

[0231] ④ Record all system events and alarms, including timestamps, event types, and response measures for post-event analysis. Regular report: Generate regular system health reports summarizing the operating status over a period of time, including key performance indicators such as fault frequency and response time.

[0232] ⑤ Provide a real-time updated dashboard on the user interface, displaying key status indicators such as power status, temperature, humidity, and signal quality. Alarm panel: The alarm panel highlights all current alarms and warnings, sorted by severity for easy prioritization. Historical data view: Allow users to view historical data, including trend charts and event logs, for in-depth analysis.

[0233] Through the operation process of the system status monitoring module described above, it can ensure that the analog signal calibration test system of the constant temperature and humidity control cabinet can maintain the best working state under various environmental conditions, while minimizing the fault time and maintenance costs.

[0234] The key innovations of the present invention include:

[0235] (1) High-precision signal generation and measurement: Integrating a precision signal generator, it can generate high-quality analog signals. Collaborating with intelligent measurement devices, it automatically adjusts signal parameters to ensure the high precision and stability of the signals.

[0236] (2) Intelligent data processing and analysis: Incorporating AI algorithms for real-time data analysis and deviation calculation, it automatically determines the calibration status, generates test reports, and simultaneously tests communication capabilities, improving the efficiency and accuracy of data processing.

[0237] (3) Environmental adaptability and signal integrity guarantee: Adopting advanced signal processing algorithms such as digital filtering and signal recovery, as well as high-performance insulation and conductive materials, it enhances the stability of the system in extreme environments and the integrity of signal transmission.

[0238] (4) Unified control platform and user interface: Providing a user-friendly interface, it allows users to easily configure test parameters, view real-time data, and simultaneously monitor the system status and health, simplifying the operation process and enhancing the user experience.

[0239] (5) System status monitoring and warning mechanism: Continuously monitoring the operating status and health of each module of the system, it promptly warns of potential problems, ensures the normal operation of the system, and reduces downtime and maintenance costs.

[0240] Through a series of innovative algorithms and advanced technical means, the present invention significantly improves the accuracy, efficiency, and reliability of analog signal calibration tests in constant temperature and humidity control cabinets. The following are its main beneficial effects:

[0241] (1) Automated and intelligent signal generation and measurement. The present invention combines a high-precision signal generator with intelligent measurement devices, automatically adjusts signal parameters, and generates and measures analog signals, greatly reducing manual operations, avoiding human errors, and improving the accuracy and efficiency of tests.

[0242] (2) Dynamic signal parameter adjustment. The adaptive algorithm can automatically optimize signal parameters according to test requirements and environmental conditions, such as adjusting the frequency and amplitude of the signal at different temperatures, ensuring that the signal can still maintain the best transmission effect under changing environmental conditions, and enhancing the stability and accuracy of the signal.

[0243] (3) Signal integrity protection. The built-in signal integrity protection mechanism can identify and prevent interference and attenuation of signals during transmission. Through dynamic noise suppression and signal enhancement technologies, it ensures the integrity and clarity of signals in extreme environments and reduces signal distortion.

[0244] (4) Environmental Adaptability and Stability. The application of advanced signal processing technologies and materials science enhances the stability of the system under extreme environmental conditions and the integrity of signal transmission, reduces measurement errors caused by environmental factors and the risk of system failures, and extends the system lifespan.

[0245] (5) Data Processing and Analysis. Integrating data processing and analysis functions, using AI algorithms for real-time analysis, deviation calculation, calibration status judgment, and test report generation, improves the efficiency of data processing and the accuracy of test results.

[0246] (6) Communication Capability Testing and Optimization. Testing the communication capabilities of the modules to ensure the communication efficiency and stability between modules, automatically triggering optimization processes such as adjusting signal source parameters, improving signal paths, or enhancing anti-interference measures, guarantees the reliable operation of the system under various working conditions.

[0247] (7) User-Friendly Interface and System Monitoring. Providing a unified control platform and a user-friendly interface that allows users to set test parameters, view real-time data and test results, while monitoring the system status and health, simplifies the operation process and improves the user experience.

[0248] (8) Overall Benefit Enhancement. Overall, the present invention significantly shortens the test time, improves the test accuracy, reduces the maintenance cost, and ensures the high reliability and accuracy of signal calibration tests within a constant temperature and humidity control cabinet through automated and intelligent testing methods and systems, and is applicable to various high-end scientific research and industrial application scenarios that require precise control of environmental conditions.

[0249] In the description of this specification, the description with reference to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. Moreover, the specific features, structures, materials, or characteristics described may be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0250] Furthermore, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of such features. In the description of the present application, "a plurality" means two or more unless otherwise specifically defined.

[0251] Any process or method description represented in a flowchart or otherwise described herein can be understood to represent a module, segment, or portion of code including one or more executable instructions for implementing a specific logical function or process. And the scope of the preferred embodiments of the present application includes additional implementations, where the functions can be executed in a substantially simultaneous manner or in a reverse order according to the functions involved, rather than in the order shown or discussed.

[0252] The logic and / or steps represented in a flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing a logical function, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in conjunction with these instruction execution systems, apparatus, or devices.

[0253] It should be understood that each part of the present application can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. All or part of the steps of the above-described example methods can be completed by a program instructing relevant hardware, and this program can be stored in a computer-readable storage medium. When this program is executed, it includes one or a combination of the steps of the method embodiments.

[0254] In addition, in each embodiment of the present application, the functional units can be integrated into a processing module, or each unit can exist physically alone, or two or more units can be integrated into one module. The above integrated module can be implemented in the form of hardware or in the form of a software functional module. When the above integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. This storage medium can be a read-only memory, a magnetic disk, an optical disk, etc.

[0255] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of various changes or substitutions, and these should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for calibrating and testing analog signals applied to a constant temperature and humidity control cabinet, characterized in that: include: S100, integrated high-precision signal generator generates analog signals with nanosecond / microvolt accuracy, dynamically adjusts signal parameters through adaptive algorithms, and compensates for signal attenuation in real time based on environmental adaptability algorithms; S200, using AI algorithm to calculate the root mean square deviation between the actual signal and the target signal. When the deviation exceeds the threshold, the calibration strategy is triggered and the communication performance is optimized. S300, dynamically compensates for environmental interference through humidity gradient terms and temperature gradient terms, and combines sealed packaging technology to ensure signal integrity; S400, display the calibration results in real time on the user interface and monitor the system health status.

2. The method according to claim 1, characterized in that Step S100 also includes: S110, integrated precision signal generator, generates analog signals of various frequencies, amplitudes and waveforms, ensuring high signal quality and stability; S120, equipped with highly sensitive sensors and measuring equipment, automatically detects and measures key parameters of signals, and simultaneously performs real-time monitoring to capture transient changes in signals; S140, built-in signal integrity protection mechanism to identify and prevent interference and attenuation of signals during transmission; S150. Perform internal diagnosis regularly to promptly identify potential hardware or software problems and take appropriate corrective measures to improve system reliability and service life.

3. The method according to claim 1, characterized in that Step S200 also includes: Step S200 includes: S210, use AI algorithms to perform real-time data analysis and deviation calculation; S220, determining the calibration status and automatically generating a test report; Among them, S220, automatically calculate the deviation between the actual value and the target value of the signal, determine whether the module needs to be calibrated, and determine the optimal calibration strategy, specifically: According to the module calibration standard, set the target value for each analog output point and input point; The root mean square error (RMSE) is used as the indicator for deviation calculation, which is applicable to the continuous change of signal value. For signal point i and signal type j, the deviation The calculation includes the following: in, is the target value, is the actual value, n is the number of repeated measurements; Deviation Matrix Construction: Create a deviation matrix for all signal points and types to facilitate subsequent analysis and calibration strategy formulation; The deviation threshold θ is set according to the system accuracy requirements. Any deviation exceeding this threshold indicates that calibration is required. Calibration requirement judgment: traverse the deviation matrix. For any signal point i and type j, if > θ, then mark the point as requiring calibration; The calibration priority is determined based on the deviation size and the importance of the signal type, and the signal points with higher priority are calibrated first; The optimal calibration strategy is sent to the intelligent signal generation and measurement module to perform the calibration operation. After calibration, the signal value is measured again, a new deviation matrix is ​​calculated, and the calibration effect is verified. S230, testing the communication performance between modules and evaluating the signal transmission rate and packet loss rate indicators; S240, generating a communication capability test report, and automatically triggering an optimization process to improve communication performance.

4. The method according to claim 1, characterized in that: Step S300 includes: S310. Select appropriate materials and packaging technologies to enhance the system's resistance to temperature and humidity environmental factors; S320, using advanced signal processing algorithms, including digital filtering and signal recovery, to maintain high-quality signal transmission; S330, use high-performance insulating and conductive materials to enhance the corrosion resistance and aging resistance of system components; S340 has self-monitoring capabilities and can adjust working parameters in real time to adapt to environmental changes, ensuring system stability and measurement accuracy.

5. The method according to claim 1, characterized in that Step S400 includes: S410, provides a centralized control interface, simplifies the operation process, and allows users to easily configure test parameters; S420, the user interface displays real-time test data and system status for easy monitoring and analysis; S430, intuitively present test results, including graphical data, statistical summaries and test reports; S440, continuously monitor the operating status and health of each module of the system, and promptly warn of potential problems.

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