An intelligent universal circuit breaker and control method

Abstract

The present invention relates to the field of circuit breaker control technology, and specifically to an intelligent universal circuit breaker and a control method. In order to balance the safety and stability of the equipment, it is necessary to accurately control the current duration before triggering the overload protection. The present invention obtains the current data segments of the intelligent universal circuit breaker during the historical operation process, and each current data segment corresponds to an overload protection process. Determine the starting point of the change in each current data segment, and calculate the time interval between it and the triggering time point. Focus on the last current data segment, which is divided into current transition and abnormal data segments, analyze the current change trend, the difference from the preset threshold, and the change in the spectrum diagram, and obtain the possible value of the current overload protection. At the same time, calculate the current abnormality duration factor, and comprehensively determine the current duration of the next overload protection trigger, so as to achieve stable control of the intelligent universal circuit breaker.

Description

Technical Field

[0001] The present invention relates to the technical field of circuit breaker control, and in particular to an intelligent universal circuit breaker and a control method thereof. Background Art

[0002] As the complexity and scale of power systems continue to grow, the requirements for the stability and reliability of power equipment are also increasing. As an important protection device in the power system, the intelligent universal circuit breaker undertakes the key task of quickly cutting off the circuit when the current is abnormal, preventing equipment damage and fire accidents.

[0003] Intelligent universal circuit breakers usually have a time-current characteristic, that is, after the current exceeds the set current threshold, it will take a while to trigger the overload protection and perform the power-off operation, and the duration depends on the degree of current overload. However, in actual applications, there will be normal current fluctuations such as instantaneous current surges that are misjudged as overloads, as well as continuous abnormal fluctuations. Therefore, judging the current duration only based on the degree of current overload will lead to frequent circuit disconnection or overload conditions cannot be responded to in time, which will affect the stability of the equipment. Summary of the invention

[0004] In order to solve the technical problem that in actual applications, normal current fluctuations such as instantaneous current surges are misjudged as overloads, and continuous abnormal fluctuations, the current duration is judged only according to the degree of current overload, which will lead to frequent circuit disconnection or overload conditions cannot be responded to in time, which will affect the stability of the equipment, the purpose of the present invention is to provide an intelligent universal circuit breaker control method, and the technical solutions adopted are as follows:

[0005] Acquire current data segments of the intelligent universal circuit breaker during historical operation, and each current data segment is composed of the current value at each triggering time point of the overload protection and the current value between each triggering time point and the last triggering time point;

[0006] In each current data segment, a change starting point is determined based on the numerical characteristics of the current value; in the last current data segment in time sequence, a current transition data segment and a current abnormal data segment are divided based on the change starting point;

[0007] In the current transition data segment, the change trend of the current value, the difference between the current value and the preset current threshold, and the change and fluctuation of the amplitude of each frequency component in the spectrum diagram corresponding to the current transition data segment are comprehensively analyzed to determine the possible value of the current overload protection; in the current abnormal data segment, the difference between the current value and the preset current threshold is compared to determine the current abnormality persistence factor;

[0008] The possible value of current overload protection, the current abnormality duration factor, and the time interval between the change starting point and the triggering time point in all current data segments are comprehensively considered to calculate the current duration for the next time the intelligent universal circuit breaker triggers the overload protection; starting from the current moment, when the current value is greater than the preset current threshold, after the current duration, the intelligent universal circuit breaker triggers the overload protection.

[0009] Furthermore, the method for obtaining the possible value of the current overload protection includes:

[0010] In the current transition data segment, the correlation coefficient between all current values ​​and the time point is used as the current change factor; the absolute value of the difference between the mean of all current values ​​and the preset current threshold is used as the current deviation factor; according to the current change factor and the current deviation factor, the current abnormality factor is calculated, and the current change factor is positively correlated with the current abnormality factor, and the current deviation factor is negatively correlated with the current abnormality factor;

[0011] Analyze the fluctuation of the amplitude of each frequency component in the spectrum diagram corresponding to the current transition data segment, and calculate the overload protection verification factor;

[0012] The current abnormality factor and the overload protection verification factor are integrated to obtain the current overload protection possible value.

[0013] Furthermore, the method for obtaining the overload protection verification factor includes:

[0014] Obtain a frequency spectrum corresponding to the current transition data segment, determine the main frequency, and use the frequency corresponding to the harmonic of the main frequency of the current as the comparison frequency;

[0015] In the frequency spectrum, the data between two adjacent comparison frequencies is taken as a frequency domain data segment, the variance of all amplitudes in each frequency domain data segment is calculated, and the mean of the variances corresponding to all frequency domain data segments is taken as the first fluctuation factor;

[0016] Analyze the amplitude change between the comparison frequency and the main frequency to obtain the second fluctuation factor;

[0017] The first fluctuation factor and the second fluctuation factor are integrated to obtain the overload protection verification factor.

[0018] Furthermore, the method for obtaining the second fluctuation factor includes:

[0019] Calculate the difference between the amplitude at each comparison frequency and the amplitude at the main frequency as the difference value corresponding to the amplitude at each comparison frequency; arrange all comparison frequencies in order according to frequency to obtain an ascending sequence, forward differentiate the difference values ​​corresponding to the comparison frequencies in the sorted sequence to obtain a difference sequence, and normalize the mean of all values ​​in the difference sequence as the second fluctuation factor.

[0020] Furthermore, the method for obtaining the current anomaly persistence factor includes:

[0021] In the current anomaly data segment, the ratio between each current value and the preset current threshold is taken as the current anomaly rate, and the average of the current anomaly rates corresponding to all current values ​​is taken as the current anomaly persistence factor.

[0022] Furthermore, the method for obtaining the current duration includes:

[0023] The product of the current overload protection possible value and the current abnormality duration factor is negatively correlated and normalized to a value which is used as the time adjustment weight;

[0024] In each current data segment, the time interval between the change start point and the trigger time point is used as the duration factor corresponding to each current data segment, and the average of the duration factors corresponding to all current data segments is used as the duration average;

[0025] The product of the time adjustment weight and the duration mean is used as the current duration for the next intelligent universal circuit breaker to trigger overload protection.

[0026] Furthermore, the method for obtaining the change starting point includes:

[0027] In each current data segment, all current values ​​greater than a preset current threshold are screened out as target values;

[0028] The minimum time corresponding to all target values ​​is taken as the starting point of the change of each current data segment.

[0029] Furthermore, in the last current data segment in the time sequence, dividing the current transition data segment and the current abnormal data segment based on the change starting point includes:

[0030] In the last current data segment in the time sequence, the data at and before the change starting point are taken as the current transition data segment, and the data at and after the change starting point are taken as the current abnormality data segment.

[0031] Furthermore, the method for acquiring the spectrum diagram includes:

[0032] Perform Fourier transform on the current value in the current transition section to obtain the corresponding spectrum diagram.

[0033] An intelligent universal circuit breaker comprises an intelligent universal circuit breaker body and a circuit breaker control module. The circuit breaker control module is used to implement the steps of any intelligent universal circuit breaker control method.

[0034] The present invention has the following beneficial effects:

[0035] In practical applications, when the current is overloaded, in order to ensure the safety and stability of the equipment, avoid frequent power outages and untimely power outage responses, the current duration before triggering the overload protection needs to find a balanced state. In the present invention, by analyzing the historical current time series data, the current duration from the next current overload to the triggering of the overload protection is measured. In order to analyze the current duration before each overload protection is triggered, the current data segments of the intelligent universal circuit breaker in the historical operation process are obtained, and each current data segment is composed of the current value at each trigger time point and the current value between it and the previous trigger time point, corresponding to an overload protection process. Because the reason for triggering the overload protection is that the current value is abnormal, in each current data segment, based on the numerical characteristics of the current value, the starting point of the change can be determined, and the time interval between the starting point of the change and the trigger time point is the current duration before each overload protection is triggered. In view of the fact that the last current data segment is closest to the current moment in the time series and can better represent the current state, in the present invention, the focus is more on the last current data segment. Based on the starting point of the change, the current data segment is divided into a current transition data segment and a current abnormal data segment. The current transition data segment represents the state of the current transitioning from normal to abnormal, while the current abnormal data segment represents the state when the current has been overloaded. In the current transition data segment, the change trend of the current value, the difference between the current value and the preset current threshold, and the change and fluctuation of the amplitude of the frequency component in the spectrum diagram are analyzed to obtain the possible value of the current overload protection, which can more accurately distinguish the normal current fluctuation and the real overload situation, thereby helping to determine the current duration of the next overload protection. Further, in the current abnormal data segment, the difference between the current value and the preset current threshold is compared, and the current abnormal duration factor is calculated, which can represent the current quality after the overload occurs, and also helps to distinguish the normal current fluctuation and the real overload situation. Finally, the current overload protection possible value, the current abnormal duration factor and the current duration corresponding to all current data segments are combined to calculate the current duration of the next intelligent universal circuit breaker triggering the overload protection. When the next current overload occurs, that is, the current value is greater than the preset current threshold, the overload protection of the intelligent universal circuit breaker is triggered after the current duration calculated above. In this way, real-time control of the overload protection triggering of the intelligent universal circuit breaker is achieved, avoiding the situation where the current duration is too long, causing the equipment to be subjected to long-term overload load and increasing safety hazards, and the current duration is too short, causing the equipment to frequently disconnect the circuit, and achieving a stable and effective protection effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0037] Figure 1 A method flow chart of an intelligent universal circuit breaker control method provided by an embodiment of the present invention;

[0038] Figure 2 A method flow chart of a method for obtaining a possible value of current overload protection provided by an embodiment of the present invention;

[0039] Figure 3 A schematic diagram of the structure of a circuit breaker control module provided by an embodiment of the present invention;

[0040] Figure 4 A system block diagram of an intelligent universal circuit breaker control system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0041] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the specific implementation, structure, features and effects of an intelligent universal circuit breaker and control method proposed according to the present invention in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0042] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0043] The specific scheme of an intelligent universal circuit breaker and a control method provided by the present invention is described in detail below with reference to the accompanying drawings.

[0044] Existing intelligent universal circuit breakers have a time-current characteristic, that is, when a current overload is detected, the current duration will be set according to the degree of current overload. For example, a higher overload current will have a shorter current duration, which is convenient for timely triggering of circuit breaking protection. A lower overload current will have a longer current duration, and only after the current duration has passed will the overload protection be triggered to perform a circuit breaking operation. However, since normal current fluctuations such as instantaneous current surges may be misjudged as overloads, designing the current duration based solely on the degree of current overload may result in frequent circuit disconnection or the failure to respond to the actual overload in a timely manner. Both of these situations will affect the stability of the equipment or system.

[0045] Therefore, in an embodiment of the present invention, an intelligent universal circuit breaker is provided, which includes an intelligent universal circuit breaker body and a circuit breaker control module. The intelligent universal circuit breaker body can be an intelligent universal circuit breaker provided in the prior art, and a high-precision current sensor is integrated in the intelligent universal circuit breaker to monitor current changes in real time. The circuit breaker control module includes at least a processor and a memory, and the processor can analyze the current data obtained by the current sensor, thereby implementing the steps in an intelligent universal circuit breaker control method, please refer to Figure 1 , which shows a method flow chart of an intelligent universal circuit breaker control method provided by an embodiment of the present invention, the method comprising the following steps:

[0046] Step S1: obtaining current data segments of the intelligent universal circuit breaker during historical operation, and each current data segment is composed of the current value at each triggering time point of the overload protection and the current value between each triggering time point and the last triggering time point.

[0047] In modern power systems, circuit breakers, as electrical protection devices, play a vital role. They are mainly used to automatically disconnect faulty circuits to protect the safety of electrical equipment and power grids. With the increasing complexity of power systems and the increasing requirements for reliability, traditional circuit breakers are difficult to meet the needs of precise protection, intelligent control, and efficient management. Therefore, intelligent universal circuit breakers came into being and gradually became important equipment in power systems.

[0048] Since the intelligent universal circuit breaker has a time-current characteristic, that is, when the current exceeds the set current threshold, it will last for a period of time before triggering the overload protection to cut off the power. In order to avoid frequent circuit disconnection or overload situations that cannot be responded to in time, in the embodiment of the present invention, by analyzing the quality of the current and the overload protection situation in the historical current data, the current duration before the overload protection is triggered when the current overload occurs next time (when the current value exceeds the preset current threshold) is calculated in real time, so that the working state of the circuit breaker can be dynamically balanced to provide a stable working effect.

[0049] First, the historical current time series data of the intelligent universal circuit breaker before the current moment and the triggering time point of the overload protection are obtained. It should be noted that the length of the historical current time series data can be set to one month before the current moment, and the sampling interval is set to 1s. The specific length and sampling interval can be adjusted according to the implementation scenario and are not limited here.

[0050] After obtaining the trigger time point, the historical current time series data can be segmented based on the trigger time point. Through segmentation, the change of current before and after the overload protection is triggered can be more intuitively observed, so as to identify the specific current mode during overload, such as instantaneous current shock or continuous overload.

[0051] Since each trigger time point marks the beginning or end of an overload process, in the historical current time series data, the current value at each trigger time point and the current value between each trigger time point and the previous trigger time point are taken as a segmented data, and each segmented data contains only one trigger time point; for example: the moments of the current time series data are recorded as 1, 2, 3, 4, 5, 6, 7, where 3 and 6 are respectively a trigger time point, and the current values ​​corresponding to moments 4-6 constitute a segmented data. At this time, each segmented data completely contains the current change process corresponding to an overload process, so each segmented data can be directly taken as a current data segment, and the development and impact of the overload can be fully analyzed in the subsequent process.

[0052] In other embodiments of the present invention, after the segmented data is obtained, the segmented data may be screened, for example, the current value average of each segmented data may be calculated, and the segmented data with a current average greater than a preset value may be used as a current data segment. It should be noted that the preset value here may be set to the rated current of the device or system, and may also be adjusted according to the implementation scenario, which is not limited here.

[0053] At this point, the historical current time series data can be divided to obtain the current data segment when each overload event occurs.

[0054] Step S2: In each current data segment, determine the change starting point based on the numerical characteristics of the current value; in the last current data segment in time sequence, divide the current transition data segment and the current abnormal data segment based on the change starting point.

[0055] In a current overload event, the current will have a transition moment from a normal state to an abnormal state. In the embodiment of the present invention, the transition moment is recorded as the change starting point. At the same time, the current data segment is further divided into a current transition data segment and a current abnormal data segment by the change starting point, which helps to distinguish the different states of the current before and after the overload or abnormality. Among them, the current transition data segment reflects the gradual change process of the current from normal to abnormal, and the current abnormal data segment characterizes the current change after the abnormality occurs, which helps to more accurately distinguish between instantaneous current shocks or continuous overloads.

[0056] First, the change starting point in each current data segment is determined. Based on the above analysis, it can be seen that the change starting point represents the moment when the current state changes. In the embodiment of the present invention, the overload condition is mainly analyzed, so the change of the current state can be characterized by the numerical characteristics of the current value. Therefore, preferably, in one embodiment of the present invention, in each current data segment, the change starting point is determined based on the numerical characteristics of the current value, including:

[0057] Usually, a preset current threshold is set according to the rated current, load capacity and safety standards of the circuit and equipment. When the equipment is working, if the current value exceeds the preset current threshold, it can be considered that the circuit or equipment is in an overloaded state and there is a potential safety risk. Therefore, in each current data segment, all current values ​​greater than the preset current threshold are screened out as the target value. When the current value exceeds the preset current threshold for the first time, this indicates that the circuit or equipment begins to enter an overload state, and the intelligent universal circuit breaker will trigger overload protection after a period of current duration, so the minimum moment corresponding to all target values, that is, the moment when the current value first exceeds the preset current threshold, is used as the starting point of the change of each current data segment. It should be noted that the preset current threshold is set to 1.2 times the rated current of the equipment. The specific value can be adjusted according to the implementation scenario and is not limited here. The rated current can be obtained according to the nameplate on the equipment.

[0058] Based on the above process, the starting point of the change in each current data segment can be obtained. In power equipment or systems, real-time monitoring and rapid response to the current state are crucial, and the last current data segment in time sequence represents the state of the current closest to the current moment, which can be more accurately used as the basis for the next current overload analysis. Therefore, in an embodiment of the present invention, in the last current data segment in time sequence, the current transition data segment and the current abnormal data segment are divided based on the starting point of the change, and preferably, in an embodiment of the present invention, in the last current data segment, the data at and before the starting point of the change are used as the current transition data segment, which characterizes the change of the current from a normal state to an abnormal state, and the data at and after the starting point of the change are used as the current abnormal data segment, which characterizes the current change after the current has been overloaded.

[0059] At this point, by accurately identifying the starting point of the current change, the accuracy of the subsequent analysis can be ensured. At the same time, by segmenting and distinguishing different current states, the subsequent analysis can respond to these changes more flexibly, thereby improving the adaptability and reliability of the circuit breaker protection of the intelligent universal circuit breaker.

[0060] Step S3: In the current transition data segment, comprehensively analyze the change trend of the current value, the difference between the current value and the preset current threshold, and the change fluctuation of the amplitude of each frequency component in the spectrum diagram corresponding to the current transition data segment to determine the possible value of the current overload protection; in the current abnormal data segment, compare the difference between the current value and the preset current threshold to determine the current abnormality persistence factor.

[0061] In the current transition data segment, by comprehensively analyzing the trend of current value changes, it is possible to identify whether the current is gradually approaching or has exceeded the preset current threshold; by examining the difference between the current value and the preset current threshold, the degree to which the current value approaches the preset current threshold can be quantified; the amplitude fluctuation of each frequency component in the spectrum diagram reflects the complexity of the current signal, so the possible value of current overload protection is calculated by combining the characteristics of the above three, which is of great significance for accurately judging the cause of overload and formulating targeted protection measures. In the current abnormal data segment, by comparing the difference between the current value and the preset current threshold, the persistence of the current abnormality can be clarified.

[0062] Preferably, in one embodiment of the present invention, a method for obtaining a possible value of current overload protection includes:

[0063] See also Figure 2 , which shows a method flow chart of a method for obtaining a possible value of current overload protection in one embodiment of the present invention, the method comprising the following steps:

[0064] Step S301: In the current transition data segment, comprehensively analyze the change trend of the current value and the difference between the current value and the preset current threshold value to obtain the current abnormality factor.

[0065] When the current value approaches the preset current threshold, by analyzing the change trend of the current value, the change of the current before the abnormality occurs can be determined. Therefore, in the current transition data segment, the Pearson correlation coefficient between all current values ​​and time points is used as the current change factor: all current values ​​are arranged in time series to obtain a current value set, recorded as p, and then all time points in the current transition data segment are also arranged in time series to obtain a moment value set, recorded as q, and then the Pearson correlation coefficient between the current value set p and the moment value set q is calculated, and the Pearson correlation coefficient is used as the current change factor, recorded as BH, which can quantify the change of the current value over time. Since the moment value is increasing, if the value of the Pearson correlation coefficient is closer to 1, it means that the current value is increasing over time, then the degree of current abnormality is higher, and the possibility of triggering overload protection is increased. Conversely, if the value of the Pearson correlation coefficient is closer to -1, it means that the current value is decreasing over time, then the degree of current abnormality is lower, and the possibility of triggering overload protection is reduced.

[0066] Next, the mean of all current values ​​is calculated, which represents the average level of all current values ​​in the current transition data segment, and the absolute value of the difference between the mean and the preset current threshold is used as the current deviation factor, denoted as PC. The smaller the current deviation factor, the closer the average level of all current values ​​is to the preset current threshold, and the higher the possibility of a true overload condition is, the greater the possibility of triggering overload protection should be, and the higher the degree of current abnormality is. Conversely, the larger the current deviation factor is, the larger the deviation between the average level of all current values ​​and the preset current threshold is, and the greater the possibility of a current instantaneous impact is, the smaller the possibility of triggering overload protection should be, and the lower the degree of current abnormality is.

[0067] Finally, the current abnormality factor is calculated based on the current change factor and the current deviation factor. Based on the above analysis, it can be seen that the current change factor should be positively correlated with the current abnormality factor, and the current deviation factor is negatively correlated with the current abnormality factor. The formula model of the current abnormality factor is: Among them, YY represents the current abnormality factor; BH represents the current change factor; PC represents the current deviation factor; represents the normalization function; Indicates the preset first parameter.

[0068] In the formula model of the current abnormality factor, since the value of the current change factor is between -1 and 1, and the closer it is to 1, the current value is increasing over time, and the possibility of triggering overload protection is increasing, then the current abnormality is higher. Therefore, the value of the current change factor is adjusted here to obtain At this time, the value range is between 0 and 1, and the closer it is to 1, the higher the degree of current abnormality; when the current deviation factor is smaller, the current abnormality is higher, so the current deviation factor is placed in the denominator and the value after the current change factor is adjusted is Put it in the numerator to normalize the final ratio and get the current anomaly factor. The larger the current anomaly factor is, the greater the possibility of a true current anomaly is.

[0069] In the current transition data segment, since the maximum value of the current usually represents a significant characteristic point in the current change process and reflects the extreme situation of the current change, in other embodiments of the present invention, only the maximum value in the current transition data segment and the time point corresponding to the maximum value can be used to calculate the current change factor, and only the maximum value can be used to calculate the current deviation factor, thereby obtaining the current abnormality factor.

[0070] It should be noted that the first parameter is preset The function of is to prevent the denominator from being 0. Here, the value can be 0.001. The specific value can be adjusted according to the implementation scenario and is not limited here.

[0071] Step S302: analyzing the fluctuation of the amplitude of each frequency component in the frequency spectrum corresponding to the current transition data segment, and determining the overload protection verification factor.

[0072] The spectrum diagram directly shows the distribution of the signal in the frequency domain, that is, the various frequency components contained in the signal and their corresponding amplitudes. This helps to identify the main frequencies and harmonics in the signal. Harmonics refer to periodic current fluctuations with frequencies that are integer multiples of the main frequency. When the harmonics in the spectrum diagram are in an increasing state, it indicates that there are quality problems with the current in the circuit breaker or abnormal load, so here, the changes and fluctuations of each frequency component in the spectrum diagram are analyzed.

[0073] Firstly, the current value in the current transition section is subjected to Fourier transform to obtain the corresponding spectrum diagram.

[0074] Then the main frequency is determined, and the frequency corresponding to the harmonic of the main frequency of the current is used as the comparison frequency. It should be noted that since the main frequency (also called fundamental frequency) is usually associated with the power grid frequency (50Hz or 60Hz), in the embodiment of the present invention, the main frequency is set to 60Hz, and the comparison frequency is set to an integer multiple of the main frequency, specifically 120Hz, 180Hz, 240Hz, etc.; in other embodiments of the present invention, the acquisition of the main frequency and the comparison frequency can be adjusted according to the implementation scenario, and is not limited here.

[0075] In the spectrum diagram, the data between two adjacent comparison frequencies is regarded as a frequency domain data segment. When the current is overloaded or a fault occurs, irregular fluctuations will appear in the spectrum diagram, and the amplitude fluctuations between different frequency components in the spectrum diagram will be more obvious. Therefore, the variance of the amplitude in each frequency domain data segment is calculated, and the mean of the variance corresponding to all frequency domain data segments is taken as the first fluctuation factor. The larger the first fluctuation factor, the higher the possibility of quality problems in the current, and the more likely it is to trigger the real overload protection.

[0076] Then analyze the amplitude change between the comparison frequency and the main frequency to obtain the second fluctuation factor: calculate the difference between the amplitude at each comparison frequency and the amplitude at the main frequency as the difference value corresponding to the data value at each comparison frequency. The difference value reflects the degree of deviation between the harmonic component and the main frequency component. Arrange all the comparison frequencies in order to obtain a sorted sequence. Here, the sorted sequence selects an ascending sequence. The difference value of the comparison frequency in the ascending sequence is forward differentiated to obtain a differential sequence. When the value in the differential sequence is positive, it represents the amplitude of the comparison frequency, that is, the amplitude of the harmonic is increasing. The mean of all the values ​​in the differential sequence is normalized and used as the second fluctuation factor. The larger the second fluctuation factor, the greater the possibility of abnormal load or the worse the current quality. It should be noted that since the mean here may be a negative value, the normalization here uses function.

[0077] Finally, the first fluctuation factor and the second fluctuation factor are combined to obtain the overload protection verification factor. In this embodiment of the present invention, the product of the first fluctuation factor and the second fluctuation factor is normalized to obtain the value as the overload protection verification factor. The larger the overload protection verification factor, the greater the possibility of triggering the real overload protection. It should be noted that the normalization method here can be used Normalization function.

[0078] Step S303: The current abnormality factor and the overload protection verification factor are integrated to obtain a possible current overload protection value.

[0079] Based on the analysis in the previous steps, it can be seen that the larger the current anomaly factor is, the greater the degree of current anomaly is. Then the overload protection triggered at this time is more likely to be a real current anomaly. Similarly, the larger the overload protection verification factor is, the greater the possibility of triggering the real overload protection is. The product of the current anomaly factor and the overload protection verification factor is normalized to obtain the possible value of current overload protection, denoted as GK. The larger the possible value of current overload protection is, the more likely it is that the real current anomaly has triggered the overload protection mechanism. The normalization method here can be used Normalization function.

[0080] After analyzing the current transition data segment to obtain the possible value of current overload protection for verifying whether the overload protection is caused by a real current anomaly, the current anomaly data segment can be further analyzed to obtain the current anomaly persistence factor, which can also measure the authenticity of the overload protection.

[0081] Preferably, in one embodiment of the present invention, the method for obtaining the current anomaly persistence factor includes:

[0082] In the current anomaly data segment, the ratio between each current value and the preset current threshold is taken as the current anomaly rate. The current anomaly rate can be used to evaluate the degree of deviation between the current value and the preset current threshold. When the value is larger, it means that the current value is greater than the preset current threshold to a higher degree, that is, the current anomaly is greater. Conversely, when the value is smaller, it means that the current anomaly is lower.

[0083] Finally, the average of the current anomaly rates corresponding to all current values ​​is taken as the current anomaly persistence factor, denoted as DC. The larger the current anomaly persistence factor, the greater the degree of current anomaly after the overload protection occurs, which verifies that the overload protection is caused by a real overload.

[0084] Step S4: Based on the possible value of current overload protection, the current abnormality duration factor, and the time interval between the starting point of the change and the triggering time point in all current data segments, calculate the current duration for the next time the intelligent universal circuit breaker triggers the overload protection; starting from the current moment, when the current value is greater than the preset current threshold, after the current duration, the intelligent universal circuit breaker triggers the overload protection.

[0085] In this step, by integrating multiple related factors in the previous steps, it is possible to predict how long the current will last before triggering the overload protection when the next current abnormality occurs. This prediction helps avoid premature or late protection action, thereby optimizing the stability and safety of system or equipment operation.

[0086] Preferably, in one embodiment of the present invention, the current overload protection possible value, the current abnormality duration factor, and the time interval between the change start point and the trigger time point in all current data segments are comprehensively considered to calculate the current duration for the next intelligent universal circuit breaker to trigger the overload protection, including:

[0087] Based on the above steps, the last current data segment in the time series is analyzed and calculated to obtain the possible value of current overload protection and the current abnormality duration factor, both of which reflect the current state and can be used to distinguish between real current overload and instantaneous current shock; therefore, the possible value of current overload protection and the current abnormality duration factor are combined to obtain the time adjustment weight, which is used to adjust the current duration of the next current overload. The formula model of the time adjustment weight includes: Among them, ST represents the time adjustment weight; GK represents the possible value of current overload protection; DC represents the current abnormality persistence factor; Expressed as a natural constant An exponential function with base .

[0088] In the formula model of time adjustment weight, when the possible value of current overload protection is larger and the current abnormality duration factor is also larger, it means that the abnormality of the current state is greater at this time and is closer to the real overload situation, rather than the overload situation caused by the instantaneous current impact. Then the current duration between the occurrence of overload and the triggering of overload protection should be shortened to facilitate timely triggering of the overload protection of the intelligent universal circuit breaker, so as to avoid the long current duration causing the equipment to be overloaded for a long time under the real current overload situation, thereby increasing safety hazards; on the contrary, when the possible value of current overload protection is smaller and the current abnormality duration factor is also smaller, it means that the abnormality of the current state is lower at this time, so the current overload may be caused by the instantaneous current impact, rather than the real overload abnormal situation. Therefore, in order to avoid the frequent circuit breaking of the intelligent universal circuit breaker in a short period of time and affect the stability of the system, it is necessary to appropriately increase the current duration. Based on the above analysis, the product of the possible value of the current overload protection and the current abnormality duration factor is negatively correlated and normalized to form the time adjustment weight. At this time, the smaller the time adjustment weight, the more real the current overload is, and the current duration should be reduced to facilitate timely response. On the contrary, the larger the time adjustment weight, the more instantaneous the overload is, and the current duration should be increased to avoid frequent interruptions.

[0089] After obtaining the time adjustment weight, the historical current duration can be obtained, so that the historical current duration is adjusted using the time adjustment weight to obtain the current duration from the next current overload to the triggering of the overload protection.

[0090] Considering that the starting point of the change can be regarded as the turning point where the current state changes in the current data segment, in each current data segment, the time interval between the starting point of the change and the trigger time point is used as the duration factor corresponding to each current data segment, and the average of the duration factors corresponding to all current data segments is used as the duration mean. The duration mean represents the average level of current duration from the occurrence of current overload to the triggering of current overload in the historical current time series data.

[0091] Finally, the product of the time adjustment weight and the mean duration is used as the current duration for the next intelligent universal circuit breaker to trigger overload protection. The smaller the time adjustment weight, the more real overload occurs, and the shorter the current duration. When the current overload occurs next time, the overload can be responded to in time and overload protection can be performed. On the contrary, the larger the time adjustment weight, the more normal the overload may be, such as instantaneous current shock, and the longer the current duration. When the current overload occurs next time, frequent circuit breaking will not occur.

[0092] Afterwards, when the current value is greater than the preset current threshold again, after the current duration calculated above has elapsed, the overload protection of the intelligent universal circuit breaker is triggered again.

[0093] At this point, by analyzing the historical current timing data, the current duration when the next overload occurs can be adjusted in real time, thereby ensuring the safety of the equipment or system while avoiding untimely response and frequent interruptions, and achieving better protection effects.

[0094] In summary, in practical applications, when the current is overloaded, in order to ensure the safety and stability of the equipment, avoid frequent power outages and untimely power outage responses, the current duration before triggering the overload protection needs to find a balanced state. In the present invention, by analyzing the historical current time series data, the current duration from the next current overload to the triggering of the overload protection is measured. In order to analyze the current duration before each overload protection is triggered, the current data segments in the historical operation process of the intelligent universal circuit breaker are obtained, and each current data segment is composed of the current value between each trigger time point and the previous trigger time point, corresponding to an overload protection process. Because the reason for triggering the overload protection is that the current value is abnormal, in each current data segment, based on the numerical characteristics of the current value, the starting point of the change can be determined, then the time interval between the starting point of the change and the trigger time point is the current duration before each overload protection is triggered. In view of the fact that the last current data segment is closest to the current moment in the time series and can better represent the current state, in the present invention, the last current data segment is more focused. Based on the starting point of the change, the current data segment is divided into a current transition data segment and a current abnormal data segment. The current transition data segment represents the state of the current transitioning from normal to abnormal, while the current abnormal data segment represents the state when the current has been overloaded. In the current transition data segment, the change trend of the current value, the difference between the current value and the preset current threshold, and the change and fluctuation of the amplitude of the frequency component in the spectrum diagram are analyzed to obtain the possible value of the current overload protection, which can more accurately distinguish the normal current fluctuation and the real overload situation, thereby helping to determine the current duration of the next overload protection. Further, in the current abnormal data segment, the difference between the current value and the preset current threshold is compared, and the current abnormal duration factor is calculated, which can represent the current quality after the overload occurs, and also helps to distinguish the normal current fluctuation and the real overload situation. Finally, the current overload protection possible value, the current abnormal duration factor and the current duration corresponding to all current data segments are combined to calculate the current duration of the next intelligent universal circuit breaker triggering the overload protection. When the next current overload occurs, that is, the current value is greater than the preset current threshold, the overload protection of the intelligent universal circuit breaker is triggered after the current duration calculated above. In this way, real-time control of the overload protection triggering of the intelligent universal circuit breaker is achieved, avoiding the situation where the current duration is too long, causing the equipment to be subjected to long-term overload load and increasing safety hazards, and the current duration is too short, causing the equipment to frequently disconnect the circuit, and achieving a stable and effective protection effect.

[0095] See also Figure 3, which shows a schematic diagram of the structure of a circuit breaker control module in an embodiment of the present invention, including a processor 300, a memory 301, a bus 302 and a communication interface 303, wherein the processor 300, the communication interface 303 and the memory 301 are connected via the bus 302; wherein the memory 301 may include a high-speed random access memory, the bus 302 may be an ISA bus, a PCI bus or an EISA bus, etc., and the processor 300 may be an integrated circuit chip with signal processing capability; the memory 301 stores at least one instruction, at least one program, a code set or an instruction set, and when the at least one instruction, at least one program, a code set or an instruction set is loaded and executed by the processor, a step in an intelligent universal circuit breaker control method is implemented.

[0096] The present invention also proposes an intelligent universal circuit breaker control system, see Figure 4 , which shows a system block diagram, including a data acquisition module 401, used to implement step S1 in the above method; a data segment division module 402, used to implement step S2 in the above method; an abnormality analysis module 403, used to implement step S3 in the above method; an overload protection trigger module 404, used to implement step S4 in the above method.

[0097] It should be noted that the sequence of the above embodiments of the present invention is for description only and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0098] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. An intelligent universal circuit breaker control method, characterized in that: The method comprises: Acquire current data segments of the intelligent universal circuit breaker during historical operation, and each current data segment is composed of the current value at each triggering time point of the overload protection and the current value between each triggering time point and the last triggering time point; In each current data segment, a change starting point is determined based on the numerical characteristics of the current value; in the last current data segment in time sequence, a current transition data segment and a current abnormal data segment are divided based on the change starting point; In the current transition data segment, the change trend of the current value, the difference between the current value and the preset current threshold, and the change and fluctuation of the amplitude of each frequency component in the spectrum diagram corresponding to the current transition data segment are comprehensively analyzed to determine the possible value of the current overload protection; in the current abnormal data segment, the difference between the current value and the preset current threshold is compared to determine the current abnormality persistence factor; The possible value of the current overload protection, the current abnormality duration factor, and the time interval between the change starting point and the triggering time point in all current data segments are comprehensively considered to calculate the current duration for the next time the intelligent universal circuit breaker triggers the overload protection; starting from the current moment, when the current value is greater than the preset current threshold, after the current duration, the intelligent universal circuit breaker triggers the overload protection.

2. The intelligent universal circuit breaker control method according to claim 1, characterized in that: The method for obtaining the possible value of the current overload protection includes: In the current transition data segment, the correlation coefficient between all current values ​​and the time point is used as the current change factor; the absolute value of the difference between the mean of all current values ​​and the preset current threshold is used as the current deviation factor; according to the current change factor and the current deviation factor, the current abnormality factor is calculated, and the current change factor is positively correlated with the current abnormality factor, and the current deviation factor is negatively correlated with the current abnormality factor; Analyze the fluctuation of the amplitude of each frequency component in the spectrum diagram corresponding to the current transition data segment, and calculate the overload protection verification factor; The current abnormality factor and the overload protection verification factor are integrated to obtain the current overload protection possible value.

3. The intelligent universal circuit breaker control method according to claim 2, characterized in that: The method for obtaining the overload protection verification factor includes: Obtain a frequency spectrum corresponding to the current transition data segment, determine the main frequency, and use the frequency corresponding to the harmonic of the main frequency of the current as the comparison frequency; In the frequency spectrum, the data between two adjacent comparison frequencies is taken as a frequency domain data segment, the variance of all amplitudes in each frequency domain data segment is calculated, and the mean of the variances corresponding to all frequency domain data segments is taken as the first fluctuation factor; Analyze the amplitude change between the comparison frequency and the main frequency to obtain the second fluctuation factor; The first fluctuation factor and the second fluctuation factor are integrated to obtain the overload protection verification factor.

4. The intelligent universal circuit breaker control method according to claim 3, characterized in that: The method for obtaining the second fluctuation factor includes: Calculate the difference between the amplitude at each comparison frequency and the amplitude at the main frequency as the difference value corresponding to the amplitude at each comparison frequency; arrange all comparison frequencies in order according to frequency to obtain an ascending sequence, forward differentiate the difference values ​​corresponding to the comparison frequencies in the sorted sequence to obtain a difference sequence, and normalize the mean of all values ​​in the difference sequence as the second fluctuation factor.

5. The intelligent universal circuit breaker control method according to claim 1, characterized in that: The method for obtaining the current anomaly persistence factor includes: In the current anomaly data segment, the ratio between each current value and the preset current threshold is taken as the current anomaly rate, and the average of the current anomaly rates corresponding to all current values ​​is taken as the current anomaly persistence factor.

6. The intelligent universal circuit breaker control method according to claim 1, characterized in that: The method for obtaining the current duration includes: The product of the current overload protection possible value and the current abnormality duration factor is negatively correlated and normalized to a value which is used as the time adjustment weight; In each current data segment, the time interval between the change start point and the trigger time point is used as the duration factor corresponding to each current data segment, and the average of the duration factors corresponding to all current data segments is used as the duration average; The product of the time adjustment weight and the duration mean is used as the current duration for the next intelligent universal circuit breaker to trigger overload protection.

7. The intelligent universal circuit breaker control method according to claim 1, characterized in that: The method for obtaining the change starting point includes: In each current data segment, all current values ​​greater than the preset current threshold are screened out as target values; The minimum time corresponding to all target values ​​is taken as the starting point of the change of each current data segment.

8. The intelligent universal circuit breaker control method according to claim 1, characterized in that: In the last current data segment in the time sequence, dividing the current transition data segment and the current abnormal data segment based on the change starting point includes: In the last current data segment in the time sequence, the data at and before the change starting point are taken as the current transition data segment, and the data at and after the change starting point are taken as the current abnormality data segment.

9. The intelligent universal circuit breaker control method according to claim 3, characterized in that: The method for obtaining the spectrum diagram includes: Perform Fourier transform on the current value in the current transition section to obtain the corresponding spectrum diagram.

10. An intelligent universal circuit breaker, characterized in that: It comprises an intelligent universal circuit breaker body and a circuit breaker control module, wherein the circuit breaker control module is used to implement the steps of any one of the intelligent universal circuit breaker control methods as claimed in claims 1 to 9.

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