Abnormity detection method and system for ozone generator

Abstract

The invention relates to an anomaly detection method and system for an ozone generator. The method comprises the following steps: acquiring a current waveform of the ozone generator; performing synchronous sampling on the current waveform according to a set sampling frequency to obtain a plurality of sampling data points; calculating the sum of the current amplitudes of the sampling data points to obtain a current summation value; selecting the maximum value of the absolute values of the current amplitudes in the sampling data points as the maximum current amplitude, and calculating the actual value of the current deviation based on the maximum current amplitude and the current summation value; if the actual value of the current deviation exceeds a preset allowable threshold value, accumulating the number of overrun cycles; and when the overrun period number exceeds a preset overrun period threshold value or the maximum current amplitude value exceeds a preset current limit value, triggering an alarm and executing shutdown operation. The method has the effect of improving the safety of the equipment.

Description

Technical Field

[0001] The present application relates to the technical field of electrical safety detection, and in particular, to an abnormal detection method and system for an ozone generator. Background Art

[0002] Currently, due to its strong oxidizing property, fast reaction speed, and no secondary pollution, ozone is widely used in multiple environmental protection scenarios such as sewage treatment, air purification, and food disinfection. Since ozone is not easy to store and is prone to decomposition, in actual applications, an ozone generator is usually used to produce and use ozone on-site immediately.

[0003] The ozone generator mainly generates ozone by ionizing oxygen or air between electrodes under the action of a high-voltage electric field. In actual operation, due to the complex structure of the electrode assembly, high working voltage, and large temperature change, if cracks or damages occur in the electrodes or barrier media, it is extremely easy to cause faults such as short circuits and breakdown arcing between electrodes, which not only affects the ozone output but may also cause equipment damage or even electrical safety accidents. To detect abnormal situations such as electrode breakdown in a timely manner, a high-voltage detection system is usually configured in the ozone generator in the prior art to sample the voltage in the discharge circuit to determine whether there is a discharge interruption or abnormal situation.

[0004] The above prior art solutions have the following defects: The existing detection method has a long voltage detection response time and cannot detect instantaneous discharge abnormalities in a timely manner. Especially in high-power equipment, serious damage may be caused before the fault is detected, so there is room for improvement. Summary of the Invention

[0005] To improve the safety of the equipment, the present application provides an abnormal detection method and system for an ozone generator.

[0006] The first invention object of the present application is achieved through the following technical solutions: An abnormal detection method for an ozone generator, the abnormal detection method for an ozone generator includes: Obtain the current waveform of the ozone generator; Synchronously sample the current waveform according to a set sampling frequency to obtain a plurality of sampling data points; Calculate the sum of the current amplitudes of the sampling data points to obtain a current sum value; Select the maximum value of the absolute value of the current amplitude among the sampling data points as the maximum current amplitude, and calculate the actual current deviation value based on the maximum current amplitude and the current sum value; If the actual current deviation value exceeds a preset allowable threshold, accumulate the number of over-limit periods; When the number of overrun periods exceeds a preset overrun period threshold or when the maximum current amplitude exceeds a preset current limit, an alarm is triggered and a shutdown operation is performed.

[0007] By adopting the above technical solutions, by obtaining the current waveform of the ozone generator, basic data can be provided for subsequent identification of the discharge state, thereby realizing continuous monitoring of the operating state of the ozone generator; by synchronously sampling the current waveform according to the set sampling frequency, the time consistency and cycle integrity of the sampling data can be ensured, thereby improving the accuracy of current waveform analysis; by calculating the sum of the absolute values of the current amplitudes at the sampling points and selecting the maximum value among them to calculate the actual value of the current deviation, the overall deviation degree of the current waveform can be comprehensively reflected, thereby more early judging whether the system deviates from the normal resonant discharge state; by accumulating the number of overrun periods when the actual value of the current deviation exceeds the threshold and jointly triggering an alarm and a shutdown with the maximum current amplitude threshold, false alarms within a short period can be effectively avoided, and the operation can be interrupted in time when continuous anomalies or large anomalies occur, thereby ensuring equipment safety and reducing the risk of fault expansion.

[0008] In one example of the present application, it can be further configured that: the obtaining of the current waveform of the ozone generator includes: When receiving the power-on operation message of the ozone generator, a frequency tracking message is generated to enable the frequency converter to output a frequency to track the resonant frequency of the discharge circuit of the ozone generator; When the output frequency of the frequency converter is equal to the resonant frequency of the discharge circuit of the ozone generator, the current waveform of the ozone generator is collected, and the current waveform includes a first current waveform and a second current waveform.

[0009] By adopting the above technical solutions, by generating a frequency tracking message after receiving the power-on operation message of the ozone generator, enabling the output frequency of the frequency converter to automatically track the resonant frequency of the discharge circuit of the ozone generator, the system can be dynamically matched to the optimal operating frequency, thereby maintaining an efficient and stable ozone discharge process; by collecting the first current waveform and the second current waveform when reaching the resonant frequency, the representativeness and symmetry of the collected waveforms can be ensured, thereby improving the accuracy of identifying abnormal discharge states.

[0010] In one example of the present application, it can be further configured that: before the synchronous sampling of the current waveform according to the set sampling frequency, the abnormal detection method of an ozone generator further includes: Determine the number of sampling points according to the sampling accuracy, response speed of the current sensor and the characteristics of the discharge current of the ozone generator; Calculate the set sampling frequency according to the resonant frequency of the discharge circuit of the ozone generator and the sampling point data.

[0011] By adopting the above technical solution, by determining the number of sampling points according to the sampling accuracy, response speed of the current sensor and the discharge current characteristics of the ozone generator, the sampling density can be reasonably set, so as to improve the waveform reduction degree while ensuring the response speed; by calculating and setting the sampling frequency based on the resonance frequency and the number of sampling points, accurate uniform sampling within a period can be achieved, thereby improving the frequency matching and data consistency in subsequent calculations.

[0012] In one example, the present application can be further configured as: calculating the sum of the current amplitudes of the sampling data points to obtain the current sum value includes: When the ozone generator completes a sampling period, the absolute values of the current amplitudes of multiple current sampling points recorded within a sampling period are accumulated to obtain the sum of the current amplitudes, which is used as the current sum value.

[0013] By adopting the above technical solution, by accumulating the absolute values of the amplitudes of current sampling points within a sampling period to obtain the sum of the current amplitudes as the sum value, data distortion caused by the cancellation of positive and negative currents can be avoided, so as to more truly reflect the overall energy state of the waveform, which is helpful to accurately evaluate whether the current discharge condition has an abnormal deviation.

[0014] In one example, the present application can be further configured as: calculating the actual current deviation value based on the maximum current amplitude and the current sum value includes: According to the calculation formula: , the actual current deviation value is calculated, where K is the actual current deviation value, S is the current sum value, and I max is the maximum current amplitude.

[0015] By adopting the above technical solution, by calculating the actual current deviation value based on the maximum current amplitude and the current sum value, the waveform symmetry and stability can be reflected through a quantitative index, so as to achieve fast and low-cost anomaly detection without relying on algorithms such as complex Fourier transform, and improve the real-time performance and stability of the system fault response.

[0016] In one example, the present application can be further configured as: the anomaly detection method for an ozone generator further includes: According to the current waveform stability, detection response sensitivity and anomaly misjudgment tolerance of the ozone generator in different working states, statistical analysis is performed on the number of consecutive over-limit periods to obtain an analysis result; Based on the analysis result and historical data, the preset over-limit period threshold is determined.

[0017] By adopting the above technical solutions, through combining the current waveform stability, detection response sensitivity and abnormal misjudgment tolerance of the ozone generator in different working states, and statistically analyzing the number of over-limit cycles, the setting of the over-limit cycle threshold can be made more in line with the actual operating environment, so as to effectively balance the false alarm rate and missed alarm rate, improve the accuracy of fault judgment and the reliability of the system; by combining historical operation data for threshold setting, the adaptive ability and generalization ability of the algorithm can be enhanced, thereby improving the adaptability of the whole machine in different application scenarios.

[0018] The second above-mentioned invention object of this application is achieved through the following technical solutions: An abnormal detection system for an ozone generator, the abnormal detection system for an ozone generator includes: A waveform acquisition module for acquiring the current waveform of the ozone generator; A sampling module for synchronously sampling the current waveform according to a set sampling frequency to obtain a plurality of sampling data points; A sum value calculation module for calculating the total current amplitude of the sampling data points to obtain a current sum value; A deviation calculation module for selecting the maximum absolute value of the current amplitude among the sampling data points as the maximum current amplitude, and calculating the actual value of the current deviation based on the maximum current amplitude and the current sum value; A cycle accumulation module for accumulating the number of over-limit cycles if the actual value of the current deviation exceeds a preset allowable threshold; An abnormal judgment module for triggering an alarm and performing a shutdown operation when the number of over-limit cycles exceeds a preset over-limit cycle threshold or when the maximum current amplitude exceeds a preset current limit value.

[0019] By adopting the above technical solutions, by acquiring the current waveform of the ozone generator, basic data can be provided for subsequent identification of the discharge state, so as to realize continuous monitoring of the operating state of the ozone generator; by synchronously sampling the current waveform according to the set sampling frequency, the time consistency and cycle integrity of the sampling data can be ensured, thereby improving the accuracy of current waveform analysis; by calculating the sum of the absolute values of the current amplitudes of the sampling points and selecting the maximum value among them to calculate the actual value of the current deviation, the overall deviation degree of the current waveform can be comprehensively reflected, so as to judge earlier whether the system deviates from the normal resonant discharge state; by accumulating the number of over-limit cycles when the actual value of the current deviation exceeds the threshold and jointly triggering an alarm and a shutdown with the maximum current amplitude threshold, false alarms within a short period can be effectively avoided, and the operation can be interrupted in time when continuous abnormalities or large abnormalities occur, thereby ensuring equipment safety and reducing the risk of fault expansion.

[0020] In summary, this application includes the following beneficial technical effects: 1. By obtaining the current waveform of the ozone generator, it is possible to provide basic data for subsequent identification of the discharge state, thereby realizing continuous monitoring of the operating state of the ozone generator; by synchronously sampling the current waveform according to the set sampling frequency, it is possible to ensure the time consistency and cycle integrity of the sampling data, thereby improving the accuracy of current waveform analysis. 2. By calculating the sum of the absolute values of the current amplitudes at the sampling points and selecting the maximum value among them to calculate the actual value of the current deviation, it is possible to comprehensively reflect the overall deviation degree of the current waveform, thereby more early judging whether the system deviates from the normal resonance discharge state; by accumulating the over-limit cycle number when the actual value of the current deviation exceeds the threshold and jointly triggering an alarm and shutdown with the maximum current amplitude threshold, it is possible to effectively avoid false alarms in a short period of time and interrupt the operation in a timely manner when continuous or large anomalies occur, thereby ensuring equipment safety and reducing the risk of fault expansion. Description of the Drawings

[0021] Figure 1 is the equivalent circuit diagram of an abnormal detection system for an ozone generator in an embodiment of the present application; Figure 2 is the sampling signal position diagram of an abnormal detection method for an ozone generator in an embodiment of the present application; Figure 3 is the normal current waveform diagram of an abnormal detection method for an ozone generator in an embodiment of the present application; Figure 4 is the offset current waveform diagram of an abnormal detection method for an ozone generator in an embodiment of the present application; Figure 5 is the control logic flowchart of an abnormal detection method for an ozone generator in an embodiment of the present application; Figure 6 is a flowchart of an abnormal detection method for an ozone generator in an embodiment of the present application; Figure 7 is the implementation flowchart of step S10 in an abnormal detection method for an ozone generator in an embodiment of the present application; Figure 8 is an implementation flowchart of step S20 in an abnormal detection method for an ozone generator in an embodiment of the present application; Figure 9 is the implementation flowchart of step S30 in an abnormal detection method for an ozone generator in an embodiment of the present application; Figure 10 is the implementation flowchart of step S40 in an abnormal detection method for an ozone generator in an embodiment of the present application; Figure 11 is an implementation flowchart of an abnormal detection method for an ozone generator in an embodiment of the present application; Figure 12 This is a schematic block diagram of an abnormal detection system for an ozone generator in an embodiment of the present application. Specific embodiments

[0022] The present application will be further described in detail below with reference to the accompanying drawings.

[0023] In one embodiment, as Figure 6 shown, the present application discloses an abnormal detection method for an ozone generator, which specifically includes the following steps: S10: Obtain the current waveform of the ozone generator.

[0024] Specifically, after the ozone generator device is powered on, the frequency of the ozone system is automatically tracked, and the output waveform frequency is automatically adjusted to ensure resonance frequency is reached; next, the output current waveform is collected. As Figure 2 shown in the sampling signal position diagram in, where CT1 collects the current waveform on the low-voltage side and CT2 collects the current waveform on the high-voltage side. Obtaining the current waveform includes connecting a current sensor installed in the current output path of the ozone generator, collecting in real time the current signal flowing through the discharge circuit, converting the analog signal into an electrical signal available for digital processing through a data acquisition interface, and organizing the current signal into a continuous waveform data stream in chronological order for subsequent sampling and analysis.

[0025] S20: Synchronously sample the current waveform according to the set sampling frequency to obtain multiple sampling data points.

[0026] Specifically, the number of sampling points within a single frequency period is set through input settings or program programming. When setting the sampling frequency, the sampling time interval is calculated according to the preset period frequency. The amplitude data is read from the current waveform at fixed time intervals, and each amplitude point is stored as a sampling data point in the buffer queue until the number of sampling points within a complete sampling period reaches the set value. The setting of the number of sampling points should comprehensively consider the sampling accuracy and response speed of the current sensor and the current waveform characteristics of the ozone generator during discharge; the more sampling points, the closer the collected current waveform is to the actual waveform. Timing is performed according to the number of sampling points N, and the current amplitude at the current time is recorded every 1 / (FN) seconds. This is performed simultaneously for the high-voltage side and the low-voltage side respectively; for example, if the sampling frequency is set to 5 kHz and the number of periodic sampling points is 100, data is collected every 200 microseconds, and 100 data points are collected within 20 milliseconds to form the complete waveform information for this period.

[0027] S30: Calculate the sum of the current amplitudes of the sampling data points to obtain the current sum value.

[0028] Specifically, all sampling data points within the cycle are read from the cache. The current amplitude of each sampling point is processed by taking the absolute value to eliminate the positive and negative offset interference of the AC waveform. Then, the processed absolute values of the current are added together in sequence to obtain a sum, which is used as the current sum value for this cycle to evaluate the overall average amplitude state of the waveform.

[0029] S40: Select the maximum value of the absolute value of the current amplitude among the sampling data points as the maximum current amplitude, and calculate the actual value of the current deviation based on the maximum current amplitude and the current sum value.

[0030] Specifically, traverse all the absolute values of the current amplitudes within the current sampling cycle, extract the one with the largest amplitude as the maximum current amplitude for this cycle. At the same time, call the preset calculation formula, substitute the current sum value and the maximum current amplitude into the formula for operation, and obtain the actual value of the current deviation, which serves as a key reference parameter reflecting the symmetry and offset degree of the current waveform.

[0031] S50: If the actual value of the current deviation exceeds the preset allowable threshold, accumulate the number of over-limit cycles.

[0032] Specifically, for each sampling cycle, calculate the corresponding actual value of the current deviation from the current waveforms on the low-voltage side and the high-voltage side respectively. The actual value of the current deviation on the low-voltage side reflects the overall current output state of the system, and the actual value of the current deviation on the high-voltage side more directly reflects the waveform stability of the electrode discharge. Compare the two deviation values with their corresponding set allowable thresholds respectively. When the actual value of the current deviation on the low-voltage side is greater than or equal to the set allowable threshold on the low-voltage side, it is determined that the waveform on the low-voltage side of this cycle is abnormal and the number of over-limit cycles on the low-voltage side is incremented by one. At the same time, when the actual value of the current deviation on the high-voltage side is greater than or equal to the set allowable threshold on the high-voltage side, the number of over-limit cycles on the high-voltage side is also incremented by one. Here, the two numbers of over-limit cycles are statistically independent and are used for subsequent differential judgment and protection logic execution.

[0033] S60: When the number of over-limit cycles exceeds the preset over-limit cycle threshold or when the maximum current amplitude exceeds the preset current limit value, trigger an alarm and perform a shutdown operation.

[0034] Specifically, compare the number of over-limit cycles on the low-voltage side and the high-voltage side with their respective set over-limit cycle thresholds. When the number of over-limit cycles on the low-voltage side is greater than or equal to the low-voltage side threshold, it is considered that there is continuous abnormal fluctuation on the low-voltage side. The system will immediately send an alarm signal and execute a shutdown instruction to prevent damage to core components such as inverters due to continuous overload or systematic anomalies. When the number of over-limit cycles on the high-voltage side is greater than or equal to the high-voltage side threshold, it is considered that there is unstable discharge phenomenon or breakdown risk at the electrode end, and the alarm is also triggered and the high-voltage output circuit is forcibly disconnected. In addition, within any cycle, if the maximum current amplitude on either the low-voltage side or the high-voltage side exceeds their respective set current limits, it will also be directly determined as a serious current anomaly, and the cycle accumulation link will be immediately skipped and directly enter the fault response process, execute the emergency shutdown protection operation and save the key sampling data during the fault cycle for subsequent analysis and maintenance.

[0035] During the implementation of the present invention, in view of the actual situation that there are differences in the amplitude characteristics and stability of the current waveforms on the high-voltage side and the low-voltage side in the ozone generator discharge system, different current limits and current deviation judgment thresholds are set for the high-voltage side and the low-voltage side respectively. Specifically, the current signal on the high-voltage side usually has a relatively small amplitude but is more susceptible to discharge anomalies, and the waveform distortion is more obvious. Therefore, a relatively low current limit and a more stringent deviation ratio judgment threshold are set to achieve early identification of anomalies such as electrode breakdown and arc discharge; while the current signal on the low-voltage side reflects the output of the inverter and the overall system load condition, the current amplitude is relatively high and the waveform is more stable. Appropriately relaxing its deviation judgment threshold helps to reduce the risk of false alarms, thereby improving the adaptability of the anomaly detection logic and the accuracy of judgment, and effectively enhancing the versatility and practicality of the present invention in different models of ozone generators and different working scenarios.

[0036] In the present invention, compared with the traditional voltage-based monitoring method, the current-based monitoring method has significant technical advantages, especially in protecting low-voltage components and preventing high voltage from being introduced into the low-voltage side. Specifically, the traditional voltage-based detection method usually needs to directly collect the high-voltage signal in the ozone generator discharge circuit, which not only causes an electrical connection between the high-voltage side and the low-voltage side, but also may cause the high-voltage current to flow back to the low-voltage system through the voltage sampling device during abnormal high-voltage discharge, thereby damaging the electronic components on the low-voltage side, such as the sensitive components in the inverter and the control circuit. In the present invention, the current-based monitoring method based on current transformers realizes electrical isolation between the high voltage and the low voltage through current sampling, avoiding the direct entry of high-voltage signals into the low-voltage side and effectively protecting low-voltage components from high-voltage impact.

[0037] In addition, the current - type monitoring method can accurately identify the distortion degree of the current waveform. By independently analyzing the current waveforms on the low - voltage side and the high - voltage side, it can timely determine whether there is an abnormal discharge phenomenon without relying on the direct feedback of the high - voltage side voltage change, avoiding missing the early stage of the fault due to the slow response of voltage sampling or the difficulty in accurately capturing the initial discharge problem. Current - type monitoring not only improves the sensitivity of abnormal detection but also effectively enhances the system's protection ability against sudden discharge faults.

[0038] Therefore, adopting the current - type monitoring method can significantly reduce the risk of high - voltage introduction to the low - voltage side, enhance the protection ability of low - voltage devices, and ensure that the ozone generator system can respond quickly under abnormal conditions, avoiding potential safety hazards and equipment damage risks brought by the voltage - type monitoring method, thereby improving the reliability and safety of the overall system.

[0039] By adopting the above - mentioned technical solution, by obtaining the current waveform of the ozone generator, it can provide basic data for subsequent identification of the discharge state, thereby realizing continuous monitoring of the operating state of the ozone generator; by synchronously sampling the current waveform according to the set sampling frequency, it can ensure the time consistency and cycle integrity of the sampling data, thereby improving the accuracy of current waveform analysis; by calculating the sum of the absolute values of the current amplitudes at the sampling points and selecting the maximum value among them to calculate the actual value of the current deviation, it can comprehensively reflect the overall deviation degree of the current waveform, thereby more early - stage judging whether the system deviates from the normal resonant discharge state; by accumulating the over - limit cycle number when the actual value of the current deviation exceeds the threshold and jointly triggering an alarm and shutdown with the maximum current amplitude threshold, it can effectively avoid false alarms in a short period of time and timely interrupt the operation when there is continuous or large - scale abnormality, thereby ensuring equipment safety and reducing the risk of fault expansion.

[0040] In one embodiment, as Figure 7 shown, in step S10, that is, obtaining the current waveform of the ozone generator, specifically includes: S11: When receiving the power - on operation message of the ozone generator, generate a frequency - tracking message to make the frequency converter output a frequency to track the resonant frequency of the ozone generator discharge circuit.

[0041] Specifically, after detecting the power - on signal of the ozone generator, immediately call the frequency initialization function, construct a frequency - tracking request message and write it into the control port. The control module adjusts the output frequency of the frequency converter accordingly and continuously compares it with the feedback signal of the ozone system, and gradually corrects the output frequency according to the frequency response amplitude until the output frequency is basically coincident with the frequency corresponding to the resonant point, ensuring that the subsequent discharge process is in the best energy - conversion state.

[0042] S12: When the output frequency of the frequency converter is equal to the resonance frequency of the ozone generator discharge circuit, collect the current waveform of the ozone generator. The current waveform includes a first current waveform and a second current waveform.

[0043] In this embodiment, the first current waveform is the current waveform on the low-voltage side, and the second current waveform is the current waveform on the high-voltage side.

[0044] Specifically, after the frequency tracking ends and the system reaches the resonance stable state, respectively start the data acquisition channels of the low-voltage side current sensor and the high-voltage side current sensor, obtain the first current waveform at the output end of the frequency converter and the second current waveform at the electrode discharge grounding point, and independently cache the current data streams of the two channels. Respectively transmit the current signals collected on the high-voltage side and the low-voltage side to different sampling ports of the frequency converter control board for waveform sampling, amplitude calculation and deviation judgment respectively.

[0045] In one embodiment, as Figure 8 shown, before step S20, that is, before synchronously sampling the current waveform according to the set sampling frequency, this abnormal detection method for an ozone generator further includes: S201: Determine the number of sampling points according to the sampling accuracy, response speed of the current sensor and the characteristics of the ozone generator discharge current.

[0046] Specifically, evaluate the signal capture ability of the current sensor through the pre-set sensor response curve and the actually measured ozone current waveform characteristic curve, and determine the appropriate sampling density in combination with the time lengths of the rising edge and the falling edge of the current during the discharge process. While ensuring the complete restoration of waveform details, control the processing load, and finally determine the effective number of points to be collected in each cycle as the N value for synchronous sampling scheduling.

[0047] S202: Calculate the set sampling frequency according to the resonance frequency of the ozone generator discharge circuit and the sampling point data.

[0048] Specifically, take the resonance frequency value F of the current ozone generator as the base frequency. According to the determined number of sampling points N, call the calculation formula f sampling = F·N to calculate the sampling frequency required for the current cycle, and use this frequency as the driving clock frequency of the synchronous sampling controller, so that each waveform cycle can be accurately divided into N sampling segments, ensuring sampling uniformity and data time consistency.

[0049] In one embodiment, as Figure 9 shown, in step S30, that is, calculate the sum of the current amplitudes of the sampling data points to obtain the current summation value, specifically including: S31: When an ozone generator completes a sampling period, the current amplitudes of multiple current sampling points recorded within one sampling period are taken as absolute values and then accumulated to obtain the total current amplitude, which is used as the current summation value.

[0050] Specifically, at the end of each sampling period, multiple current amplitude data recorded in the low-voltage side and high-voltage side caches are respectively extracted. The original value of each data point is taken as an absolute value to eliminate the numerical cancellation problem caused by the positive and negative alternation of the AC waveform, and then the absolute values are successively subjected to an accumulation operation. Among them, the low-voltage side current sampling data is from the collection point on the output side of the frequency converter, representing the overall load output situation of the system, while the high-voltage side current sampling data is from the electrode grounding cable loop, representing the discharge load situation at the ozone electrode end. Finally, the high-voltage side current summation value S high and the low-voltage side current summation value S low are respectively obtained and are used for the subsequent calculation of their respective waveform deviation values.

[0051] In one embodiment, as Figure 10 shown, in step S40, that is, based on the maximum current amplitude and the current summation value, calculate the actual current deviation value, which specifically includes: S41: According to the calculation formula: , calculate to obtain the actual current deviation value, where K is the actual current deviation value, S is the current summation value, and I max is the maximum current amplitude.

[0052] Specifically, for the current data within each sampling period, divide the current summation value S high on the high-voltage side by the maximum value of the absolute value of the amplitude among the sampling points on the high-voltage side in this period, that is I max,high , to obtain the actual current deviation value K high =S high / I max，high . Similarly, divide the current summation value S low on the low-voltage side by its corresponding maximum current amplitude I max,low to perform the same ratio calculation, and obtain the actual current deviation value K low =S low / I max,low . This ratio reflects the overall symmetry and concentration degree of the current waveform. The larger the actual current deviation value, the higher the degree of waveform distortion, which is thus used as one of the main bases for judging abnormal discharge.

[0053] In one embodiment, as Figure 11 shown, this abnormal detection method for an ozone generator further includes: S70: According to the current waveform stability, detection response sensitivity, and abnormal misjudgment tolerance of the ozone generator under different operating conditions, statistically analyze the number of consecutive over-limit periods to obtain the analysis results.

[0054] Specifically, by calling a preset data analysis function, organize and classify the historical current deviation data collected by the ozone generator under multiple operating scenarios (such as different temperature and humidity, load power, discharge frequency, etc.), and calculate the high-voltage side current deviation value K high and the low-voltage side current deviation value K low of the stable range, fluctuation trend, and typical over-limit duration. Compare the statistical distribution of these deviation values with the corresponding relationship of whether an actual abnormality occurs, analyze the false alarm probability and missed detection probability under different detection sensitivity levels, and at the same time set a tolerance threshold. Abnormal periods within a certain tolerance number range are not triggered for protection to avoid non-substantive alarms caused by external interference. Finally, respectively output the correlation analysis results of the over-limit period quantity corresponding to the high-voltage side and the low-voltage side and the actual system risk.

[0055] S80: Based on the analysis results and historical data, determine the preset over-limit period threshold.

[0056] Specifically, cross-validate the over-limit period analysis results of the high-voltage side and the low-voltage side obtained statistically with the on-site historical operation data. Prioritize selecting the number of periods that can not only detect breakdown abnormalities in a timely manner but also avoid frequent false stops during long-term operation as the threshold baseline. At the same time, dynamically adjust according to the load capacity, discharge waveform characteristics, and sensor performance indicators of different models of ozone generators, and set independent high-voltage side over-limit period threshold X set,high and low-voltage side over-limit period threshold X set,low , and write them into the alarm judgment logic table for subsequent judgment of the protection trigger conditions for continuous period deviation over-limit.

[0057] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0058] In an embodiment, an abnormal detection system for an ozone generator is provided, and this abnormal detection system for an ozone generator corresponds one-to-one with the abnormal detection method for an ozone generator in the above embodiment. As Figure 12 shown, this abnormal detection system for an ozone generator includes a waveform acquisition module, a sampling module, a sum value calculation module, a deviation calculation module, a period accumulation module, and an abnormal judgment module. The detailed description of each functional module is as follows: The waveform acquisition module is used to obtain the current waveform of the ozone generator; A sampling module, configured to synchronously sample the current waveform according to a set sampling frequency to obtain a plurality of sampled data points; A sum value calculation module, configured to calculate the sum of the current amplitudes of the sampled data points to obtain a current sum value; A deviation calculation module, configured to select the maximum value of the absolute values of the current amplitudes in the sampled data points as the maximum current amplitude, and calculate the actual value of the current deviation based on the maximum current amplitude and the current sum value; A cycle accumulation module, configured to accumulate the number of over-limit cycles if the actual value of the current deviation exceeds a preset allowable threshold; An abnormality determination module, configured to trigger an alarm and perform a shutdown operation when the number of over-limit cycles exceeds a preset over-limit cycle threshold or when the maximum current amplitude exceeds a preset current limit value.

[0059] Optionally, the abnormality detection system of the ozone generator further includes: A characteristic analysis module, configured to statistically analyze the number of consecutive over-limit cycles according to the current waveform stability, detection response sensitivity, and abnormal misjudgment tolerance of the ozone generator under different operating states to obtain an analysis result; An over-limit cycle setting module, configured to determine a preset over-limit cycle threshold based on the analysis result and historical data.

[0060] Optionally, the waveform acquisition module includes: A frequency tracking sub-module, configured to generate a frequency tracking message when receiving the power-on operation message of the ozone generator, so that the frequency converter outputs a frequency to track the resonance frequency of the discharge circuit of the ozone generator; A waveform acquisition sub-module, configured to acquire the current waveform of the ozone generator when the output frequency of the frequency converter is equal to the resonance frequency of the discharge circuit of the ozone generator, and the current waveform includes a first current waveform and a second current waveform.

[0061] Optionally, the abnormality detection system of the ozone generator further includes: A sampling point determination module, configured to determine the number of sampling points according to the sampling accuracy, response speed of the current sensor, and the characteristics of the discharge current of the ozone generator; A sampling frequency setting module, configured to calculate a set sampling frequency according to the resonance frequency of the discharge circuit of the ozone generator and the sampling point data.

[0062] Optionally, the sum value calculation module includes: A current sum sub-module, configured to, when the ozone generator completes a sampling cycle, take the absolute values of the current amplitudes of a plurality of current sampling points recorded in a sampling cycle and accumulate them to obtain the sum of the current amplitudes as the current sum value.

[0063] Optionally, the deviation calculation module includes: A calculation sub-module, configured to calculate an actual value of current deviation according to the calculation formula: , where K is the actual value of current deviation, S is the sum value of current, and I max is the maximum current amplitude.

[0064] For the specific limitations of an abnormal detection system for an ozone generator, reference can be made to the limitations of an abnormal detection method for an ozone generator in the foregoing text, which will not be elaborated herein. Each module in the above abnormal detection system for an ozone generator can be implemented in whole or in part by software, hardware, and their combination. The above modules can be embedded in or independent of a processor in a computer device in the form of hardware, or stored in a memory in the computer device in the form of software, so as to facilitate the processor to call and execute the operations corresponding to the above modules.

[0065] Those skilled in the art can clearly understand that, for the convenience and conciseness of description, only the above division of each functional unit and module is used as an example for illustration. In actual applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the system is divided into different functional units or modules to complete all or part of the functions described above.

[0066] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. An abnormal detection method for an ozone generator, characterized in that, The abnormal detection method of an ozone generator includes: Obtaining the current waveform of the ozone generator; Synchronously sampling the current waveform according to the set sampling frequency to obtain a plurality of sampling data points; Calculating the sum of the current amplitudes of the sampling data points to obtain a current sum value; Selecting the maximum value of the absolute value of the current amplitude among the sampling data points as the maximum current amplitude, and calculating the actual value of the current deviation based on the maximum current amplitude and the current sum value; If the actual value of the current deviation exceeds the preset allowable threshold, accumulating the number of over-limit periods; When the number of over-limit periods exceeds the preset over-limit period threshold or when the maximum current amplitude exceeds the preset current limit value, triggering an alarm and performing a shutdown operation.

2. The abnormal detection method of an ozone generator according to claim 1, characterized in that, The obtaining of the current waveform of the ozone generator includes: When receiving the power-on operation message of the ozone generator, generating a frequency tracking message to enable the frequency converter to output a frequency to track the resonant frequency of the discharge circuit of the ozone generator; When the output frequency of the frequency converter is equal to the resonant frequency of the discharge circuit of the ozone generator, collecting the current waveform of the ozone generator, and the current waveform includes a first current waveform and a second current waveform.

3. The abnormal detection method of an ozone generator according to claim 2, characterized in that, Before the synchronous sampling of the current waveform according to the set sampling frequency, the abnormal detection method of an ozone generator further includes: Determining the number of sampling points according to the sampling accuracy, response speed of the current sensor and the characteristics of the discharge current of the ozone generator; Calculating the set sampling frequency according to the resonant frequency of the discharge circuit of the ozone generator and the sampling point data.

4. The abnormal detection method of an ozone generator according to claim 1, characterized in that, The calculating the sum of the current amplitudes of the sampling data points to obtain a current sum value includes: When the ozone generator completes a sampling period, taking the absolute values of the current amplitudes of a plurality of current sampling points recorded within one sampling period and accumulating them to obtain the sum of the current amplitudes as the current sum value.

5. The abnormal detection method of an ozone generator according to claim 1, characterized in that, The calculating the actual value of the current deviation based on the maximum current amplitude and the current sum value includes: According to the calculation formula: , the actual value of the current deviation is calculated, where K is the actual value of the current deviation, S is the current summation value, and I max is the maximum current amplitude.

6. The abnormal detection method of an ozone generator according to claim 1, characterized in that, The abnormal detection method of an ozone generator further includes: Statistically analyzing the number of consecutive over-limit periods according to the current waveform stability, detection response sensitivity and abnormal misjudgment tolerance of the ozone generator in different working states to obtain an analysis result; Determining the preset over-limit period threshold based on the analysis result and historical data.

7. An abnormal detection system for an ozone generator, characterized in that, The abnormal detection system of an ozone generator includes: A waveform acquisition module for obtaining the current waveform of the ozone generator; A sampling module for synchronously sampling the current waveform according to the set sampling frequency to obtain a plurality of sampling data points; A sum value calculation module for calculating the sum of the current amplitudes of the sampling data points to obtain a current sum value; A deviation calculation module for selecting the maximum value of the absolute value of the current amplitude among the sampling data points as the maximum current amplitude, and calculating the actual value of the current deviation based on the maximum current amplitude and the current sum value; A period accumulation module for accumulating the number of over-limit periods if the actual value of the current deviation exceeds the preset allowable threshold; An abnormality determination module, configured to trigger an alarm and perform a shutdown operation when the number of overrun periods exceeds a preset overrun period threshold or when the maximum current amplitude exceeds a preset current limit value.

8. An abnormality detection system for an ozone generator according to claim 7, characterized in that, The abnormality detection system of the ozone generator further includes: A characteristic analysis module, configured to statistically analyze the number of consecutive overrun periods according to the current waveform stability, detection response sensitivity, and abnormal misjudgment tolerance of the ozone generator under different operating states, and obtain an analysis result; An overrun period setting module, configured to determine the preset overrun period threshold based on the analysis result and historical data.

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