Analog signal calibration test method and system applied to constant temperature and humidity control cabinet

Abstract

The invention discloses an analog signal calibration test method and system applied to a constant-temperature and constant-humidity control cabinet. The system combines a high-precision signal generator and intelligent measurement equipment, automatically generates and measures analog signals, is internally provided with signal integrity protection, and ensures high-quality transmission of the signals. The system integrates data processing and analysis functions, analyzes data in real time by using an AI algorithm, calculates deviation, judges a calibration state, and tests communication capability. Through an advanced signal processing technology and material science, the system still keeps stability and signal integrity in an extreme environment. A unified control platform and a user interface are provided, parameter setting, data checking and system monitoring are facilitated, it is ensured that testing is efficient and accurate, the system is suitable for signal calibration testing of the constant-temperature and constant-humidity control cabinet, and the testing precision and the system reliability are remarkably improved.

Description

Technical Field

[0001] The present application relates to the technical field of automatic product inspection, and is a module calibration test system, specifically, an analog signal calibration test method and system applied to a constant temperature and humidity control cabinet. Background Art

[0002] The module calibration test system is used to calibrate the module analog input signal points, including voltage input signal, current input signal and resistance input signal. After the calibration is completed, the module needs to be tested for accuracy, including the module's analog output points and analog input points. For each point and each signal type, select the maximum value, minimum value, and intermediate value for accuracy testing and record the deviation value.

[0003] In the prior art, the tester uses a signal generator to simulate the required signal, uses a multimeter to manually measure the signal accuracy, and then uses a computer to install MODBUS test software to communicate with the module through Ethernet, reads internal data to determine the calibration status and current signal value, and manually calculates the deviation value and records it in a table. A module has 6 analog output signals and 8 analog input signals, which support 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. The two communication ports are tested separately using a computer MODBUS test tool. It usually takes several hours to test a module, and manual measurement errors are inevitable. Summary of the invention

[0004] The present invention provides an analog signal calibration test method and system for 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 the analog signal calibration test in the special and harsh environment of the constant temperature and humidity control cabinet, while overcoming the challenges brought by the attenuation, interference and environmental changes that the signal may encounter during the transmission process.

[0005] In order to solve the above problems, the present invention provides an analog signal calibration test method and system 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, comprising:

[0007] S100, combines high-precision signal generator and intelligent measurement equipment, automatically adjusts signal parameters, generates and measures analog signals, and has built-in signal integrity protection mechanism;

[0008] S200, integrates data processing and analysis as well as communication test functions, uses AI algorithms to perform real-time data analysis, deviation calculation, calibration status judgment and test report generation, and tests the communication capabilities of the module at the same time;

[0009] S300, ensures system stability and signal transmission integrity under extreme environmental conditions, and improves system performance through advanced signal processing technology and material science;

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

[0011] As a preferred solution, step S100 includes:

[0012] S110, integrated precision signal generator, generates analog signals of various frequencies, amplitudes and waveforms, ensuring high signal quality and stability;

[0013] 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;

[0014] S130, using adaptive algorithms, automatically optimizes signal parameters according to different test requirements and environmental conditions to ensure the best signal transmission effect;

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

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

[0017] As a preferred solution, step S200 includes:

[0018] S210, use AI algorithms to perform real-time data analysis and deviation calculation;

[0019] S220, determining the calibration status and automatically generating a test report;

[0020] S230, testing the communication performance between modules and evaluating indicators such as signal transmission rate and packet loss rate;

[0021] S240, generating a communication capability test report, and automatically triggering an optimization process to improve communication performance.

[0022] As a preferred solution, step S300 includes:

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

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

[0025] S330, use high-performance insulating and conductive materials to enhance the corrosion resistance and aging resistance of system components;

[0026] S340 has self-monitoring capabilities and can 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, provides a centralized control interface, simplifies the operation process, and allows 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 promptly warn of potential problems.

[0032] The key innovative features of the present invention include:

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

[0034] (2) Intelligent data processing and analysis: Integrates AI algorithms to perform real-time data analysis and deviation calculation, automatically determine calibration status, generate test reports, and test communication capabilities, thereby improving the efficiency and accuracy of data processing.

[0035] (3) Environmental adaptability and signal integrity assurance: The use of advanced signal processing algorithms, such as digital filtering and signal recovery, as well as high-performance insulation and conductive materials, enhances the system's stability in extreme environments and the integrity of signal transmission.

[0036] (4) Unified control platform and user interface: Provides a user-friendly interface that allows users to easily configure test parameters, view real-time data, and monitor system status and health, simplifying the operation process and improving 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] The present invention significantly improves the accuracy, efficiency and reliability of analog signal calibration test in constant temperature and humidity control cabinet through a series of innovative algorithms and advanced technical means. 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 measuring device to automatically adjust signal parameters and generate and measure analog signals, which greatly reduces manual operations, avoids human errors, and improves test accuracy and efficiency.

[0040] (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 to ensure that the signal can still maintain the best transmission effect under changing environmental conditions, thereby 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 technology, it ensures the integrity and clarity of signals in extreme environments and reduces signal distortion.

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

[0043] (5) Data processing and analysis. The system integrates data processing and analysis functions and uses AI algorithms for real-time analysis, deviation calculation, calibration status judgment, and test report generation, which improves the efficiency of data processing and the accuracy of test results.

[0044] (6) Communication capability testing and optimization. Test the communication capability of the modules to ensure the efficiency and stability of communication 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. It provides a unified control platform and a user-friendly interface, allowing users to set test parameters, view real-time data and test results, and monitor system status and health, simplifying the operation process and improving user experience.

[0046] (8) Improved comprehensive benefits. 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 the signal calibration test in the constant temperature and humidity control cabinet through the automated and intelligent test method and system. It is suitable for various high-end scientific research and industrial applications that require precise control of environmental conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a flow chart of an analog signal calibration test method and system applied to a constant temperature and humidity control cabinet provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

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

[0050] S100 combines a high-precision signal generator with intelligent measurement equipment to automatically adjust signal parameters, generate and measure analog signals, and has a built-in signal integrity protection mechanism.

[0051] S200 integrates data processing and analysis as well as communication test functions, uses AI algorithms to perform real-time data analysis, deviation calculation, calibration status judgment and test report generation, while testing the module's communication capabilities.

[0052] S300 ensures system stability and signal transmission integrity under extreme environmental conditions, and improves system performance through advanced signal processing technology and material science.

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

[0054] The analog signal calibration test method and system for a constant temperature and humidity control cabinet provided in an embodiment of the present invention are mainly used to solve the technical problem solved by the present invention, which is "how to ensure the high precision, high efficiency and stability of the analog signal calibration test in the special and harsh environment of a constant temperature and humidity control cabinet, while overcoming the challenges brought about by attenuation, interference and environmental changes that the signal may encounter during 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 with 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, and uses AI algorithms to analyze data, calculate deviations, determine calibration status, and test communication capabilities in real time. Through advanced signal processing technology and material science, the system maintains stability and signal integrity in extreme environments. A unified control platform and user interface are provided to facilitate parameter setting, data viewing, and system monitoring, ensuring efficient and accurate testing. It is suitable for signal calibration testing of constant temperature and humidity control cabinets, and significantly improves test accuracy and system reliability.

[0056] S100, combining a high-precision signal generator and an intelligent measuring device, automatically adjusting signal parameters, generating and measuring analog signals, and having a built-in signal integrity protection mechanism. Step S100 includes steps S110-S150:

[0057] S110, the system module integrates a set of precise signal generators, which can generate analog signals of various frequencies, amplitudes and waveforms, including but not limited to sine waves, square waves, triangle waves, etc., with an accuracy of nanoseconds and microvolts, ensuring high quality and stability of the signal. Specifically:

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

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

[0062] ②We 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] Where S(t) represents the signal strength at time t; A n is the amplitude of the nth harmonic, given by V max ,V min ,V mid Determined by other parameters; f n is the frequency of the nth harmonic, according to V max ,I max Equal signal frequency range setting; φ n is the phase of the nth harmonic, according to R max ,R min The impedance characteristics of the signal are determined by N, which is the number of harmonics. Usually, N depends on the complexity of the signal and the required accuracy.

[0065] ③ In order to improve the stability and accuracy of the signal, we introduced a new dynamic adjustment mechanism to monitor and correct the signal deviation in real time. The algorithm can be expressed as:

[0066] ΔS(t)=γ·(S(t)-S target (t))

[0067] Where ΔS(t) represents the signal correction at time t; S target t is the target signal strength; γ is an adjustment coefficient used to control the correction speed, according to R q and I mid And other parameters adjustment.

[0068] ④ In order to solve the signal attenuation and interference problems, we designed a new environmental adaptability algorithm to evaluate and compensate for the changes in the signal under different environmental conditions:

[0069]

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

[0071] ⑤Finally, all signal parameters, measurement results, and adjustment history 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 sets 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 is equipped with highly sensitive sensors and measuring equipment, which can automatically detect and measure key parameters such as signal amplitude, frequency, phase, etc., and can also monitor the signal in real time and capture transient changes of the signal. Specifically:

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

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

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

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

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

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

[0081] B. Amplitude measurement: The spectrum S(f) of the signal is calculated by FFT, where f is the frequency. The amplitude can be obtained by the modulus value |S(f)| of the spectrum. Let F be the characteristic frequency set 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 f0 be the fundamental frequency of the signal, which is calculated by the main peak position of FFT.

[0084] D. Phase measurement: Use Hilbert transform HT to estimate the instantaneous phase θ(t) of the signal. After Hilbert transform, the analytical form of the signal is in 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 introduced a new environmental adaptability evaluation algorithm based on the Riemann curvature tensor R. This algorithm takes into account environmental changes on the signal propagation path, such as the influence of temperature and humidity. The signal integrity C can be expressed as:

[0087]

[0088] Among them, Γ represents the propagation path of the signal, dS ij and dS kl is the differential area element on the path.

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

[0090]

[0091] Where T is the time window of analysis.

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

[0093] S130, using adaptive algorithms, can automatically optimize signal parameters according to different test requirements and environmental conditions, such as adjusting 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 the signal parameters according to different test requirements and environmental conditions to achieve the best signal transmission effect. To achieve this goal, we designed a set of original algorithms to ensure the stability and accuracy of the signal in the constant temperature and humidity control cabinet.

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

[0096] H: Ambient humidity, in percentage.

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

[0098] F0: fundamental frequency of the signal, in Hertz.

[0099] A0: The base amplitude of the signal, in volts, amperes, or ohms.

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

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

[0102] ③ We adopted a new adaptive algorithm that 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, which varies with time t and space x; A is the amplitude of the signal, which varies 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 location coordinate of the signal transmission path.

[0105] ④Detailed explanation of the operation process

[0106] A. Initialization phase: At the beginning of the algorithm, the fundamental frequency F0 and amplitude A0 of the signal are initialized according to the signal type S and environmental conditions T,H.

[0107] B. Dynamic adjustment stage: The algorithm calculates the changes in 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 frequency and amplitude to reflect the impact of changes in temperature and humidity on signal transmission.

[0108] C. Environmental response: and The term reflects the impact of ambient 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 continuously adjust the values ​​of α, β, γ, δ, η, and ζ to adapt to different signal types and environmental conditions and achieve 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 to ensure the best transmission effect of the signal under different temperatures and humidity. This original algorithm not only improves the stability and accuracy of signal transmission, but also significantly reduces manual intervention and improves the efficiency and reliability of module calibration testing.

[0111] S140, built-in signal integrity protection mechanism can identify and prevent interference and attenuation of signals during transmission, and ensure signal integrity and clarity in extreme environments through dynamic noise suppression and signal enhancement technology. Specifically:

[0112] ① In our invention patent, the signal integrity protection mechanism of the intelligent signal generation and measurement module is committed to identifying and preventing signal attenuation and interference under extreme environmental conditions, such as in a constant temperature and humidity control cabinet, and ensuring signal integrity and clarity through dynamic noise suppression and signal enhancement technology. To achieve this goal, we designed a set of original algorithms that combine advanced mathematical principles and signal processing technology.

[0113] ② Input data definition

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

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

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

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

[0118] β(t): Dynamic noise suppression coefficient, a function that changes with time t and is used to adjust the degree of noise suppression.

[0119] ③We adopted a new signal enhancement and noise suppression algorithm, combining the frequency domain and time domain analysis of the signal. The core equation of the algorithm is as follows:

[0120] S′(t)=S(t)*α(t)

[0121] α(t)=exp(-∫0D(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, which is 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, which is calculated based on the frequency domain characteristics F{E(t)} of the interference signal E(t), where F represents Fourier transform to ensure effective noise suppression; λ is the noise suppression threshold, which is determined by the signal type and environmental conditions.

[0125] ④Detailed explanation of the operation process

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

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

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

[0129] D. Signal integrity assessment: 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), ensuring the transmission quality of the signal under extreme environmental conditions.

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

[0131] S150, This module has a self-detection function, which can perform internal diagnosis regularly, detect potential hardware or software problems in time, 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 represents the input value of the i-th analog signal point, where i = 1, 2, ..., N, N is the total number of signal points; Y j represents the expected response value of the jth signal type, where j = 1, 2, 3, corresponding to voltage, current, and resistance signals, respectively; E ij Represents the deviation value of the i-th signal point under the j-th signal type.

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

[0135] ②Build a model: Build a prediction model

[0136]

[0137] Where w0,w ij ,w ijk ,w ijj is the model parameter.

[0138] ③Parameter estimation and optimization

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

[0140]

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

[0142] ④ Dynamic threshold setting: Use historical data to calculate the normal range of each signal point [l ij ,u ij ], where lij and u ij are the lower limit and the upper limit respectively. Anomaly detection: Real-time monitoring signal X ij , if X ij Beyond ij ,u ij ] range, it is marked as an exception.

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

[0144] ⑥ Model update: Regularly update model parameters with new data sets 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 predictive and self-learning capabilities.

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

[0146] S200 integrates data processing and analysis as well as communication test functions, uses AI algorithms to perform real-time data analysis, deviation calculation, calibration status judgment and test report generation, while testing the module's communication capabilities.

[0147] Step S200 includes steps S210-S240:

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

[0149] ① First, a series of analog signal data is received from the intelligent signal generation and measurement module, including voltage, current and resistance input signals. For each signal type, we collect the maximum, minimum and intermediate signal samples, a total of 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 technology in the AI ​​algorithm to evaluate the signal quality, identify and remove abnormal data points caused by noise. By calculating the signal-to-noise ratio (SNR) and signal distortion rate (SDR), we can quantify the purity and integrity of the signal. Assuming S(t) is the original signal strength at time t, and N(t) is the noise strength at the same time point, the SNR is defined as The signal distortion ratio (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 ARIMA (autoregressive integrated moving average model) or LSTM (long short-term memory network) and other deep learning models to predict signal data to identify future signal behavior patterns. This helps to plan ahead for possible signal fluctuations or equipment performance degradation and take preventive measures. t is the signal value at time t, then the prediction model Represents the signal prediction value 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 deviates significantly 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. Any signal value that falls outside μ±3σ is considered abnormal.

[0153] ⑤ Rapid response mechanism: Once an abnormality is detected or an unfavorable trend is predicted, the system immediately activates the rapid response mechanism. This includes adjusting the parameters of the signal generator to optimize signal quality, triggering maintenance alarms, or starting backup communication paths to ensure the continuity of data transmission. The response time depends on the severity of the abnormality and the redundant design of the system, but the goal is to restore system performance in the shortest time.

[0154] Through the above process, the integrated data processing center can monitor and analyze the output data of the signal generation and measurement modules in real time, ensuring that any changes can be responded to quickly during the test process, improving the overall test efficiency and accuracy, while also reducing the need for manual intervention and reducing the potential risk of human error.

[0155] S220, 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: According to the module calibration standard, set the target value for each analog output point and input point. For example, for voltage input signals, set the target voltage values ​​for the maximum, minimum and intermediate values. Actual value acquisition: Get the actual measured value of the signal from the intelligent signal generation and measurement module. These values ​​have undergone preliminary quality assessment and anomaly detection in the real-time data analysis stage to ensure the accuracy and reliability of the data.

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

[0158]

[0159] Among them, 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 calibration strategy development.

[0161] ③Calibration status judgment: Threshold setting: Set the deviation threshold θ 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 δ ij >θ, then mark the point as requiring calibration.

[0162] ④Calibration priority sorting: Determine the calibration priority based on the deviation size and the importance of the signal type. 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 a specific deviation type. Resource allocation and scheduling: Consider the resources required for calibration (such as time, manpower and equipment), and arrange calibration tasks reasonably to ensure maximum efficiency.

[0163] ⑤Automatic calibration execution: Send the optimal calibration strategy to the intelligent signal generation and measurement module to perform the calibration operation. Result verification: After calibration, measure the signal value 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, and ensure that the module's performance in the constant temperature and humidity control cabinet is always maintained at the best state, while meeting 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, so that users can quickly understand the test situation. Specifically:

[0166] ① First, the module will integrate test data from various subsystems of the integrated data processing center, including but not limited to the actual and target values ​​of the signal, deviation calculation results, calibration status judgment results, and signal integrity check results. Metadata records: record the date, time, environmental conditions (temperature, humidity), equipment model used, tester ID (if any), and the standards and specifications based on which the test was 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 validity confirmation: Confirm whether the calibrated signal value meets the expected accuracy standard, compare the deviation values ​​before and after calibration, and quantify the calibration effect.

[0168] ③ Define the structure of the report, which usually includes summary, test conditions, test results, analysis conclusions, recommendations and appendix. Content filling: Fill the report template with test data and analysis results to ensure the accuracy and completeness of the information.

[0169] ④Use programming language or professional report generation tools to automatically fill in templates based on test data and generate test reports in PDF or HTML format. Charts and graphs: Automatically generate charts and graphs to intuitively display test results, such as deviation distribution graphs, signal strength trend graphs, etc., to enhance the readability of reports.

[0170] ⑤ Carry out a final spelling, grammar and logic check to ensure the professionalism and accuracy of the report. Report distribution: Send the report to relevant persons in charge and team members via email or the company's internal system so that they can review it in a timely manner and take necessary actions.

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

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

[0173] S240 not only processes internal data, but is also responsible for testing the communication performance between modules, evaluating indicators such as signal transmission rate and packet loss rate, and ensuring 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 taken into account to ensure the integrity and accuracy of the signal in 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. This includes real-time data exchange speed testing 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 transmitted over long distances, to evaluate the impact of signal attenuation and interference on the integrity of data packets. Stability and interference testing: 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] ④After collecting all the test data, the system will conduct 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, the signal attenuation and interference effects are evaluated to ensure that good signal integrity can be maintained even under extreme environmental conditions.

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

[0179] ⑥ If any communication performance is found to be substandard, 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 capability test module can comprehensively evaluate the communication efficiency and stability between modules in 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 improves the overall work efficiency.

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

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

[0183] ① Considering that the interior of the constant temperature and humidity control cabinet may experience large changes in temperature and humidity, 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 coefficient, and can reduce mechanical wear and chemical corrosion caused by environmental factors. Precision packaging technology: The module adopts a sealed design, using technologies such as waterproof and 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 a suitable temperature range.

[0184] ② In order to solve the thermal expansion and contraction effect that may be caused by temperature changes, the module integrates efficient heat sinks and heat sinks to quickly remove the heat generated by the signal processing process to prevent overheating. Humidity sensor and control mechanism: The built-in humidity sensor continuously monitors the humidity level inside the module. Once it detects that the humidity exceeds the safe range, the system will automatically start the dehumidification mechanism, such as using a desiccant or heating element, to maintain the internal dry state.

[0185] ③ In order 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 the influence of external environmental noise and ensure the integrity and accuracy of the signal in 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 even under harsh conditions, the analog signals (voltage, current, resistance) generated by the signal generator can still be accurately captured and processed.

[0186] ④ The module has self-monitoring capabilities and can detect changes in environmental parameters such as temperature and humidity in real time, and automatically adjust working parameters such as signal frequency and power according to preset algorithms to adapt to current environmental conditions and ensure system stability and measurement accuracy. Fault warning and recovery: When environmental conditions that exceed the normal working range are detected, the system will automatically start the warning mechanism to notify 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 a complex and changeable environment such as a constant temperature and humidity control cabinet, the module calibration test system can continuously and accurately complete the calibration and testing tasks of analog signals, while reducing the measurement errors and system failure risks caused by environmental factors.

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

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

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

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

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

[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 life of the system. Specifically:

[0194] ① Select materials with excellent electrical insulation properties, such as polytetrafluoroethylene (PTFE) and epoxy resin, for the outer sheath of the signal cable and the insulation layer of the internal connector to ensure that signal transmission will not be affected even in a high humidity environment, 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 contact points, for connectors and contacts of signal transmission cables to ensure efficient signal transmission while reducing the risk of oxidation and corrosion.

[0195] ② Perform special surface treatment on the conductive material, 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 material. Material aging test: Before the material is put into use, an accelerated aging test is carried out to simulate the extreme environmental conditions in the constant temperature and humidity control cabinet to evaluate the long-term stability and durability of the material and ensure that the selected material can meet the requirements of long-term stable operation.

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

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

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

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

[0200] ① Multiple 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 memory. Temperature threshold setting: Set the temperature warning threshold according to the maximum operating temperature limit of the electronic components. Once the monitored temperature approaches or exceeds the warning threshold, the system will automatically start the heat dissipation mechanism.

[0201] ②Use the efficient heat conduction characteristics of the heat pipe to quickly transfer heat from the heating element to the heat sink, and accelerate heat dissipation through the large surface area of ​​the heat sink in contact with the air. Fan control system: According to the feedback from the temperature sensor, the fan speed is intelligently adjusted to ensure that the air flow is quickly increased when needed to accelerate heat dissipation, while reducing the fan speed when the temperature is low to reduce noise and energy consumption.

[0202] ③ Use thermal pads or thermal paste between the heating element and the heat sink to improve thermal contact, increase heat transfer efficiency, ensure that heat can be evenly distributed, and avoid 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 enter smoothly and hot air can be effectively discharged, forming a good natural convection cycle.

[0203] ④ Combined with temperature monitoring data, the system uses intelligent thermal management algorithms to dynamically adjust the intensity of the heat dissipation mechanism, balance the relationship between heat dissipation effect and energy consumption, and avoid waste of resources caused by excessive heat dissipation. Coolant circulation system: Under high heat load conditions, the system may be equipped with a coolant circulation system, which absorbs and transfers heat more effectively through the high heat capacity characteristics of the liquid, keeping the system temperature within a safe range.

[0204] ⑤ The system undergoes strict thermal shock testing before leaving the factory to ensure that it can maintain stable operation under extreme temperature changes and adapt to the special environment of the constant temperature and humidity control cabinet. Long-term operation test: Through long-term operation tests, the effectiveness of thermal management and heat dissipation mechanisms is verified to ensure that the electronic components of the system will not overheat during long-term operation, thereby improving overall stability and safety.

[0205] Through the implementation of the above-mentioned thermal management and heat dissipation mechanism, the environmental adaptability and stability assurance module can ensure that the system can maintain operation within a safe temperature range even under long-term operation and extreme environmental conditions, 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 user-friendly interface, allowing users to set test parameters, view real-time data and test results, and monitor system status and health. Step S400 includes steps S410-S440:

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

[0208] ① Develop an intuitive graphical user interface that enables users to configure test parameters through simple clicks and drags. The interface layout is clear and displays different types of signals and test options in categories. Multi-language support: Considering the international usage scenarios, the interface provides multi-language versions to ensure that global users can use the system without obstacles.

[0209] ② The user can select the signal type from the 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, the user can set the frequency range, and the system will adjust the output of the signal generator according to the selected range. Test duration: The user can specify the duration of the test, and the system will automatically control the signal generation and measurement process until the scheduled time ends.

[0210] ③ Users can create custom test sequences, such as testing the voltage signal first, then the current signal, and finally the resistance signal. The system will automatically perform the test in the set order. Save and load test configuration: Allow users to save commonly used test configurations as preset files, which are convenient for direct loading and use during the next test, improving work efficiency.

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

[0212] ⑤After 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, so that users can quickly evaluate the test accuracy. Report generation and export: Users can generate detailed test reports with one click, including test conditions, results and analysis, and support multiple formats for export, such as PDF, Excel, etc.

[0213] Through the functions of the above-mentioned unified control platform, users can configure and execute test tasks in a more efficient and intuitive way, significantly reducing the time and complexity required for traditional manual testing, while ensuring the accuracy and consistency of the test and meeting the needs 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., for easy monitoring and analysis. Specifically:

[0215] ① The system's built-in high-precision sensors and measuring devices 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 a variety of test points such as maximum, minimum, and intermediate values. Data conversion and analysis: The collected original analog signal is converted into a digital signal through analog-to-digital conversion (ADC), and then analyzed by the algorithm inside the system to calculate the deviation between the actual value of the signal and the theoretical value.

[0216] ② The user interface is equipped with a real-time waveform chart, which dynamically displays the changing trend of the signal, including the waveforms of voltage, current and resistance signals, so that users can observe the stability and periodic characteristics of the signal. Measurement result presentation: The measurement results are displayed in real time on the interface in numerical form, including the instantaneous value, average value, maximum value and minimum value of the signal, as well as the deviation from the standard value, to ensure that users can grasp the test accuracy in time. System health indicators: The system status bar displays health indicators such as temperature, humidity, power status and signal quality, helping users monitor the operation of the system and discover potential problems in time.

[0217] ③ The user 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 the user 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 causes of the fault and recommended troubleshooting steps to help users quickly locate the problem.

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

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

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

[0221] ① The module first collects all test data, including the measured value, theoretical value, deviation value of the signal, as well as system health indicators and environmental parameters such as temperature, humidity, etc. Statistical calculation: Statistical analysis is performed on the collected data to calculate statistical quantities such as average deviation, maximum deviation, minimum deviation, as well as signal stability index and system performance indicators.

[0222] ② Draw a signal waveform diagram to intuitively display the trend of voltage, current and resistance signals over time, helping users identify the periodicity, stability and any abnormal fluctuations of the signal. Deviation distribution diagram: Generate a deviation distribution diagram to display the deviation distribution of different signal points, highlight the signal points with large deviations, and facilitate users to quickly locate the modules that need to be calibrated or checked. Environmental parameter diagram: Provide a diagram of environmental parameters such as temperature and humidity changing over time to assist users in analyzing the impact of environmental factors on test results.

[0223] ③ Generate a test summary, including test date, test conditions, number of test points, test type (voltage, current, resistance) and key test results, such as average deviation percentage, pass rate, etc. Test report: Based on the test data and statistical summary, a detailed test report is automatically generated, which contains detailed results of all test points, deviation analysis, system health status, environmental parameter records, and test conclusions and recommendations.

[0224] ④The user interface adopts interactive chart design, and users can observe and analyze data details in detail through functions such as zooming, panning and selecting specific areas. Export and sharing function: The interface provides the function of exporting test results and reports, and supports exporting to PDF, Excel or image format, which is convenient for users to share test results and conduct subsequent analysis.

[0225] ⑤Integrated data analysis tools, such as trend analysis, deviation comparison, and statistical tests, help users dig deeper into the meaning behind the data. Data screening and filtering: Provides data screening and filtering functions. Users can filter data based on conditions such as signal type, test point, or time range to focus on specific test results.

[0226] By demonstrating the module’s functionality through the above test results, users can easily understand and share test results while conducting in-depth data analysis to ensure that the module calibration test system is used efficiently and accurately in constant temperature and humidity control cabinets.

[0227] S440, continuously monitor the operating status and health of each module of the system, including power status, temperature level, fault alarm, etc., and promptly warn of potential problems to ensure the normal operation of the system. Specifically:

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

[0229] ② The system will perform trend analysis on the collected data to identify any patterns that may indicate future problems, such as gradually increasing temperatures or decreasing signal quality. Threshold detection: Set the normal operating range of key parameters. Once the threshold is exceeded, the system will immediately trigger an alarm. Health score: Comprehensively evaluate the system health based on multiple parameters and give a quantitative score to quickly understand the overall status of the system.

[0230] ③When any abnormality or potential failure is detected, the system will immediately sound an alarm and notify maintenance personnel through the user interface, email or SMS. 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 later analysis. Regular reports: Generate regular system health reports that summarize the operating status over a period of time, including key performance indicators such as failure frequency and response time.

[0232] ⑤ A dashboard with real-time updates is provided on the user interface, showing 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 priority handling. Historical Data View: Allows 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 be ensured 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 failure time and maintenance cost.

[0234] The key innovative features of the present invention include:

[0235] (1) High-precision signal generation and measurement: The integrated precision signal generator can generate high-quality analog signals and automatically adjust signal parameters with intelligent measurement equipment to ensure high accuracy and stability of the signal.

[0236] (2) Intelligent data processing and analysis: Integrates AI algorithms to perform real-time data analysis and deviation calculation, automatically determine calibration status, generate test reports, and test communication capabilities, thereby improving the efficiency and accuracy of data processing.

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

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

[0239] (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.

[0240] The present invention significantly improves the accuracy, efficiency and reliability of analog signal calibration test in constant temperature and humidity control cabinet through a series of innovative algorithms and advanced technical means. 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 an intelligent measuring device to automatically adjust signal parameters and generate and measure analog signals, which greatly reduces manual operations, avoids human errors, and improves test accuracy and efficiency.

[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 to ensure that the signal can still maintain the best transmission effect under changing environmental conditions, thereby improving 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 technology, 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 technology and material science enhances the stability of the system and the integrity of signal transmission under extreme environmental conditions, reduces the measurement errors and system failure risks caused by environmental factors, and extends the system life.

[0245] (5) Data processing and analysis. The system integrates data processing and analysis functions and uses AI algorithms for real-time analysis, deviation calculation, calibration status judgment, and test report generation, which improves the efficiency of data processing and the accuracy of test results.

[0246] (6) Communication capability testing and optimization. Test the communication capability of the modules to ensure the efficiency and stability of communication 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.

[0247] (7) User-friendly interface and system monitoring. It provides a unified control platform and a user-friendly interface, allowing users to set test parameters, view real-time data and test results, and monitor system status and health, simplifying the operation process and improving user experience.

[0248] (8) Improved comprehensive benefits. 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 the signal calibration test in the constant temperature and humidity control cabinet through the automated and intelligent test method and system. It is suitable for various high-end scientific research and industrial applications that require precise control of environmental conditions.

[0249] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example" or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. Moreover, the described specific features, structures, materials or characteristics may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

[0250] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0251] Any process or method description in the flow chart or otherwise described herein can be understood to represent a module, fragment or portion of a code including one or more executable instructions for implementing the steps of a specific logical function or process. And the scope of the preferred embodiment of the present application includes other implementations, in which the functions may not be performed in the order shown or discussed, including in a substantially simultaneous manner or in a reverse order according to the functions involved.

[0252] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, which can be embodied 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 system that can fetch instructions from an instruction execution system, apparatus or device and execute instructions), or used in combination with these instruction execution systems, apparatuses or devices.

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

[0254] In addition, each functional unit in each embodiment of the present application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into one module. The above-mentioned integrated module can be implemented in the form of hardware or in the form of a software functional module. If the above-mentioned 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. The storage medium can be a read-only memory, a disk or an optical disk, etc.

[0255] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on 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, combines high-precision signal generator and intelligent measurement equipment, automatically adjusts signal parameters, generates and measures analog signals, and has built-in signal integrity protection mechanism; S200, integrates data processing and analysis as well as communication test functions, uses AI algorithms to perform real-time data analysis, deviation calculation, calibration status judgment and test report generation, and tests the communication capabilities of the module at the same time; S300, ensures system stability and signal transmission integrity under extreme environmental conditions, and improves system performance through advanced signal processing technology and material science; S400 provides a unified control platform and user-friendly interface, allowing users to set test parameters, view real-time data and test results, and monitor system status and health.

2. The method according to claim 1, characterized in that Step S100 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; S130, using adaptive algorithms, automatically optimizes signal parameters according to different test requirements and environmental conditions to ensure the best signal transmission effect; S140, built-in signal integrity protection mechanism to identify and prevent interference and attenuation of signals during transmission. S150 can perform internal diagnosis regularly to detect potential hardware or software problems in time and take corresponding corrective measures to improve the reliability and service life of the system.

3. The method according to claim 1, characterized in that 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; S230, testing the communication performance between modules and evaluating indicators such as signal transmission rate and packet loss rate; 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 environmental factors such as temperature and humidity; S320, using advanced signal processing algorithms, such as digital filtering, signal recovery, etc., 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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