Intelligent circuit breaker and control method thereof

Abstract

The present invention relates to the field of circuit protection technology, and more particularly to an intelligent circuit breaker and a control method thereof. Based on the characteristic that abnormal current will cause unstable current changes, the method first screens out abnormal links based on the fluctuation and mutation of current in each production link. Then, based on the continuity of the production process and the continuous temporal distribution of abnormal links in the production cycle, a periodic abnormality coefficient characterizing the abnormality of the production cycle is determined. Furthermore, based on the periodic abnormality coefficient and the similarity between current changes in historical tripping cycles and current changes in the current cycle, the tripping probability of the circuit breaker is determined. Thus, the circuit breaker threshold is adaptively adjusted according to the tripping probability, so that the accuracy of circuit breaker control based on the adaptively adjusted circuit breaker threshold is higher.

Description

Technical Field

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

[0002] A circuit breaker is a switching device capable of closing, carrying, and interrupting current under normal circuit conditions, and closing, carrying, and interrupting current under abnormal circuit conditions within a specified timeframe. It protects power lines and motors. Traditional circuit breakers rely primarily on mechanical and electromagnetic principles to control circuit on / off, as well as provide overload and circuit breaker protection. Intelligent circuit breakers, however, integrate modern electronics, communications, and automatic control technologies, enabling real-time monitoring of circuit status, fault diagnosis, automatic protection, and remote control. They are widely used in power systems, industrial fields, and commercial buildings.

[0003] Existing technologies usually control circuit breakers by setting a fixed current protection threshold, and trip the circuit breaker to protect the circuit when the total output current is greater than the set current protection threshold. However, in some scenarios where the load changes frequently, such as industrial production processes, the fixed current protection threshold cannot adapt to the dynamic changes in the load in the power system, and lacks the flexibility to adjust the current protection threshold according to the load characteristics. Therefore, the accuracy of circuit breaker control based on the fixed current protection threshold is low. Summary of the Invention

[0004] In order to solve the technical problem of low accuracy in circuit breaker control based on a fixed current protection threshold, the present application aims to provide an intelligent circuit breaker and a control method thereof. The technical solutions adopted are as follows:

[0005] A first aspect of the present application provides an intelligent circuit breaker control method, comprising:

[0006] In each production cycle of the industrial production process, the total output current of all current devices at each sampling moment in each production link is collected;

[0007] Determine the corresponding current anomaly coefficient based on the fluctuation and mutation of the total output current in each production link; screen out abnormal links based on the current anomaly coefficient; determine the corresponding cycle anomaly coefficient based on the time series continuous distribution of abnormal links in each production cycle and the corresponding current anomaly coefficient;

[0008] The corresponding tripping probability is determined according to the cycle abnormality coefficient and the similarity of the change of the total output current between each production cycle and the historical tripping cycle; and the circuit breaker is controlled by the circuit breaker threshold adjusted by the tripping probability.

[0009] Furthermore, the process of obtaining the current anomaly coefficient includes:

[0010] The total output current at all sampling moments in each production link is arranged in chronological order and then curve-fitted to determine the link current timing curve; the corresponding current mutation abnormality degree is determined based on the number of maximum value points on the link current timing curve and the attenuation mutation of the total output current;

[0011] Each production link in each production cycle corresponds to the same production link in other production cycles as the corresponding reference link; the range of the total output current of all reference links corresponding to each production link is used as the reference current range; the normalized value of the difference between the range of the total output current corresponding to each production link and the corresponding reference current range is used as the comparison current abnormality of each production link;

[0012] The current anomaly coefficient of each production link is determined according to the product of the current mutation abnormality degree and the comparison current abnormality degree.

[0013] Furthermore, the process of obtaining the abnormal degree of the current mutation includes:

[0014] On the link current timing curve, the corresponding current decay interval is determined according to the time interval between each maximum point and the next adjacent minimum point; the corresponding current decay amplitude is determined according to the difference between the total output current of each maximum point and the total output current of the next adjacent minimum point;

[0015] Determine the corresponding reference attenuation interval based on the average of the current attenuation intervals corresponding to all the maximum points; determine the corresponding reference attenuation amplitude based on the average of the current attenuation amplitudes corresponding to all the maximum points;

[0016] The current instability is determined according to the product between the number of maximum points on the link current timing curve and the reference attenuation amplitude; and the corresponding current mutation abnormality degree is determined by normalizing the ratio between the current instability and the reference attenuation interval.

[0017] Furthermore, the process of obtaining the abnormal link includes:

[0018] The production link in which the current abnormality coefficient is greater than the preset abnormality threshold is regarded as an abnormal link.

[0019] Furthermore, the process of obtaining the periodic anomaly coefficient includes:

[0020] Merge all adjacent abnormal links in each production cycle to obtain all continuous abnormal segments; the production links adjacent to the continuous abnormal segments are not abnormal links and all the production links in the continuous abnormal segments are continuous abnormal links;

[0021] According to the overall size of the current abnormality coefficient of each abnormal link in each production cycle and the continuous distribution of the abnormal links, the corresponding cycle abnormality degree is determined;

[0022] Determine the corresponding continuous abnormality ratio based on the ratio between the number of abnormal links in the continuous abnormal segment with the largest number of abnormal links in each production cycle and the total number of corresponding production links;

[0023] The cycle abnormality coefficient of each production cycle is determined according to the product of the cycle abnormality degree and the continuous abnormality proportion.

[0024] Furthermore, the process of obtaining the period anomaly degree includes:

[0025] The product of the current abnormality coefficient of each abnormal link and the number of abnormal links in the continuous abnormal segment is used as the weighted abnormality coefficient of each abnormal link; the degree of cycle abnormality is determined based on the average of the weighted abnormality coefficients of all abnormal links in each production cycle.

[0026] Furthermore, the process of obtaining the tripping possibility includes:

[0027] Arrange the total output current at all sampling moments corresponding to each production cycle in chronological order and perform curve fitting to determine the corresponding periodic current timing curve;

[0028] Each production cycle is taken as the target cycle in turn; in the historical production process, the production cycle with the same production conditions as the target cycle and the circuit breaker tripping is taken as the corresponding historical tripping cycle; according to the dynamic time warping algorithm, the DTW distance between the periodic current timing curve of the target cycle and the periodic current timing curve of each corresponding historical tripping cycle is negatively correlated and mapped to determine the curve similarity of each historical tripping cycle; the historical tripping cycle with the greatest curve similarity is taken as the matching tripping cycle of the target cycle;

[0029] Determine the corresponding cycle matching degree based on the overlap between the abnormal link in the target cycle and the production link where the circuit breaker trips in the matching tripping cycle and the similarity of the corresponding curves;

[0030] Performing a negative correlation mapping on the difference between the maximum value of the total output current in the target cycle and the total output current when the circuit breaker trips in the corresponding matching tripping cycle to determine the corresponding current tripping characteristic value;

[0031] The number of occurrences of the tripping type corresponding to the matching tripping cycle in all historical tripping cycles is used as the tripping problem characteristic value;

[0032] The product of the cycle anomaly coefficient of the target cycle, the cycle matching degree, the current tripping characteristic value, and the tripping problem characteristic value is normalized to determine the tripping possibility of the target cycle.

[0033] Furthermore, the process of obtaining the period matching degree includes:

[0034] The production link in which the circuit breaker trips during the matching tripping cycle is used as the matching tripping link;

[0035] Among all abnormal links of the target cycle, when there is an abnormal link belonging to the same production as the matching trip link, a preset first trip threshold is used as the trip consistency of the target link; when there is no abnormal link belonging to the same production as the matching trip link, a preset second trip threshold is used as the trip consistency of the target link; the preset first trip threshold is greater than the preset second trip threshold, and the preset second trip threshold is greater than 0;

[0036] The cycle matching degree corresponding to the target cycle is determined according to the product of the curve similarity corresponding to the matching tripping cycle and the tripping consistency.

[0037] Furthermore, the process of controlling the circuit breaker by using the circuit breaker threshold value after the tripping probability is adjusted includes:

[0038] The product of the negative correlation mapping value of the tripping possibility of each production cycle and the preset circuit breaker threshold is used as the optimized circuit breaker threshold of the next production cycle; and the circuit breaker of the next production cycle is controlled according to the optimized circuit breaker threshold.

[0039] In a second aspect, the present application further provides an intelligent circuit breaker, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the processor implements any one of the steps of the intelligent circuit breaker control method.

[0040] This application has the following beneficial effects:

[0041] This application is based on the characteristic that when the current is abnormal, it will cause the current to show unstable changes. First, the abnormal links are screened out according to the fluctuation and mutation of the current in each production link; then, based on the continuity of the production process and the continuous temporal distribution of the abnormal links in the production cycle, the cycle abnormality coefficient that characterizes the abnormality of the production cycle is determined; further, on the basis of the cycle abnormality coefficient, combined with the similarity between the current changes in the historical tripping cycle and the current changes in the current cycle of the current, the possibility of tripping is determined; thereby, the circuit breaker threshold is adaptively adjusted according to the tripping possibility, so that the accuracy of circuit breaker control based on the adaptively adjusted circuit breaker threshold is higher. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. 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 any creative work.

[0043] Figure 1 A flow chart of an intelligent circuit breaker control method provided by one embodiment of the present invention;

[0044] Figure 2 A flowchart of a method for obtaining tripping probability in an intelligent circuit breaker control method provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail an intelligent circuit breaker and its control method proposed according to the present invention, its specific implementation method, structure, features and its effects. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment, and the specific features, structures or characteristics in one or more embodiments may be combined in any suitable form. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as implying or suggesting relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features.

[0046] 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.

[0047] The specific scheme of an intelligent circuit breaker and a control method thereof provided by the present invention is described in detail below with reference to the accompanying drawings.

[0048] This application embodiment provides an intelligent circuit breaker control method. Figure 1 , which shows a flow chart of an intelligent circuit breaker control method provided by one embodiment of the present invention, the method comprising:

[0049] Step S101: In each production cycle of an industrial production process, the total output current of all current devices at each sampling moment in each production link is collected.

[0050] Various electrical equipment are usually used in industrial production. For example, in chemical production, various pumps, compressors, mixers, etc. are often used. These equipment will frequently adjust their operating status according to different production stages and process requirements. For example, during a chemical reaction, the flow of the material conveying pump needs to be adjusted according to the progress of the reaction, which will cause the load of the motor to change. When controlling the circuit breaker by setting a fixed circuit breaker threshold, a circuit breaker threshold that is too small may cause the circuit breaker to trip inadvertently, affecting the production process. A circuit breaker threshold that is too large may cause the circuit breaker to fail to trip in time when a circuit problem occurs, which may cause safety problems. Therefore, the purpose of this application is to determine a more accurate circuit breaker threshold so that the circuit breaker control effect is better.

[0051] For circuit breakers, if the current exhibits abnormal variations, it may indicate a problem with the electrical equipment or production process. In this case, the circuit breaker threshold needs to be lowered to make the circuit breaker more sensitive to current anomalies and promptly detect and respond to potential faults. Conversely, if the current is relatively normal, it indicates that there are no problems with the electrical equipment or production process and that production is relatively stable. In this case, the circuit breaker threshold can be raised to reduce false tripping caused by minor, temporary current fluctuations and improve production continuity. Therefore, it is necessary to further analyze the abnormal current variation characteristics, and current data must be collected before analysis.

[0052] In a specific implementation of an embodiment of the present invention, a current sensor is set at the bus switch cabinet of the production device in the industrial production process to collect the total output current in real time. Industrial production usually corresponds to a fixed production process, that is, the types and sequences of production links corresponding to different production cycles are usually the same. For example, in the oil refining and chemical process, each production cycle includes crude oil pretreatment, atmospheric and vacuum distillation, catalytic cracking, catalytic reforming and other links, and the operating steps and conditions corresponding to each production link are basically the same; the corresponding start-stop sequence and operating load of the equipment involved are usually the same. Therefore, in order to more accurately analyze the abnormal current characteristics, the embodiment of the present invention is specific to each production link of each production cycle. In each production cycle of the industrial production process, the total output current of all current devices at each sampling moment of each production link is collected.

[0053] In a specific implementation of the embodiment of the present invention, the sampling frequency is set to collect data once every 0.1 seconds, which can be adjusted according to the specific implementation environment.

[0054] Step S102: Determine the corresponding current anomaly coefficient according to the fluctuation and mutation of the total output current in each production link; screen out abnormal links according to the current anomaly coefficient; determine the corresponding cycle anomaly coefficient according to the time series continuous distribution of the abnormal links in each production cycle and the corresponding current anomaly coefficient.

[0055] After commissioning and run-in, chemical production equipment maintains a relatively stable operating state. Therefore, during normal operation, the circuit load is stable, reflected in the fact that the total output current trends over each production cycle are nearly consistent. However, significant current fluctuations may indicate an impact load or other influence on the equipment, causing the current to exhibit abnormal fluctuations. Therefore, we first analyze the total output current in each production link to identify the characteristics of the corresponding local current anomalies.

[0056] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the current anomaly coefficient includes:

[0057] The total output current at all sampling moments in each production link is arranged in chronological order and then curve-fitted to determine the link current timing curve. The corresponding degree of current mutation abnormality is determined based on the number of maximum points on the link current timing curve and the attenuation mutation of the total output current. It should be noted that curve fitting is a technical means well known to those skilled in the art and will not be further described here.

[0058] In a specific implementation of an embodiment of the present invention, the process of obtaining the abnormal degree of current mutation includes: on the link current timing curve, determining the corresponding current attenuation interval according to the time interval between each maximum point and the next adjacent minimum point; determining the corresponding current attenuation amplitude according to the difference between the total output current of each maximum point and the total output current of the next adjacent minimum point; determining the corresponding reference attenuation interval according to the average of the current attenuation intervals corresponding to all maximum points; and determining the corresponding reference attenuation amplitude according to the average of the current attenuation amplitudes corresponding to all maximum points.

[0059] For the link current timing curve of each production link, the smaller the time interval between each peak and the adjacent trough and the greater the difference in the output current value, it means that there is a steeper current drop between the corresponding peak and trough, and the current shows a mutation characteristic, which is more likely to correspond to an abnormal current change characteristic; therefore, the smaller the reference attenuation interval representing the mean value of the current attenuation interval and the larger the reference attenuation amplitude representing the mean value of the current attenuation amplitude, the more abnormal the current change characteristic of the corresponding production link; the greater the degree of current mutation abnormality should be; in addition, the more maximum points, that is, the more peaks, the more frequent the current changes; therefore, the more maximum points, the more unstable the output total current of the corresponding production link, and the greater the degree of current mutation abnormality representing the abnormal current change characteristic; therefore, further combined with the correlation, the degree of current mutation abnormality is determined according to the number of maximum points, the reference attenuation amplitude and the reference attenuation interval.

[0060] In a specific implementation of an embodiment of the present invention, the product of the number of maximum points on the link current timing curve and the reference attenuation amplitude is used to determine the current instability; normalization is performed based on the ratio between the current instability and the reference attenuation interval to determine the corresponding degree of abnormal current mutation. Except for special instructions, the normalization methods in the embodiments of the present invention all adopt linear normalization, which can be adjusted according to the specific implementation environment. Those skilled in the art may choose other basic mathematical methods for implementation, which will not be limited or elaborated here. It should be noted that for a maximum point that does not have an adjacent next minimum point, the corresponding current attenuation interval and current attenuation amplitude are calculated for the corresponding maximum point and the previous minimum point, which will not be further elaborated here.

[0061] Each production link in each production cycle corresponds to the same production link in other production cycles as the corresponding reference link; the range of the total output current of all reference links corresponding to each production link is used as the reference current range; the normalized value of the difference between the range of the total output current corresponding to each production link and the corresponding reference current range is used as the comparative current anomaly of each production link. The range of the total output current represents the fluctuation range of the current in the corresponding production link. The larger the fluctuation range, the more unstable the current of the corresponding production link. Since the operating steps and conditions of each production link between different production cycles are usually consistent, the corresponding production links should have similar current stability in different production cycles. Therefore, for each production link in each production cycle, the larger the range of its corresponding total output current is compared to the range of the corresponding total output current of the production link in other production cycles, the more abnormal the current stability of the corresponding production link is. Therefore, the larger the comparative current anomaly, the more abnormal the current change characteristics of the production link are.

[0062] Since both the degree of current mutation abnormality and the comparative current abnormality can characterize the abnormality of the current variation characteristics of each production link, the current abnormality coefficient of each production link is determined based on the current mutation abnormality degree and the comparative current abnormality degree in combination with the correlation relationship. In a specific implementation of an embodiment of the present invention, the current abnormality coefficient of each production link is determined based on the product of the degree of current mutation abnormality and the comparative current abnormality degree. Those skilled in the art may choose to use other basic mathematical methods to implement this, which will not be limited or elaborated on here.

[0063] The larger the current anomaly coefficient, the more unstable the current in the corresponding production link and the more abnormal the current variation. Therefore, based on the current anomaly coefficient, more abnormal links can be screened out. In one specific implementation of an embodiment of the present invention, the abnormal link acquisition process includes: identifying production links with current anomaly coefficients greater than a preset anomaly threshold as abnormal links. The preset anomaly threshold is set to 0.6 and can be adjusted based on the specific implementation environment. When the current anomaly coefficient of a corresponding production link is greater than 0.6, it indicates that the current anomaly in the corresponding production link is more obvious, and therefore it is identified as an abnormal link for subsequent analysis.

[0064] Since the production process is continuous, when an abnormality occurs in the previous production link, it often affects the normal operation of the next production link. Therefore, when the abnormal links in the production cycle are relatively continuous, it indicates that there may be systemic problems, such as a power supply line failure or a key equipment failure; while discontinuous current abnormal links may be caused by some local, independent factors, which have little impact on the entire production cycle. Therefore, this application evaluates the overall abnormality of the production cycle based on the continuous temporal distribution of the abnormal links in each production cycle and the corresponding current abnormality coefficient, that is, evaluates the cycle abnormality coefficient of each production cycle.

[0065] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the periodic anomaly coefficient includes:

[0066] All adjacent abnormal links in each production cycle are merged to obtain all continuous abnormal segments; the production links adjacent to the continuous abnormal segment are not abnormal links and all production links within it are continuous abnormal links; the corresponding cycle abnormality degree is determined based on the overall size of the current abnormality coefficients of each abnormal link in each production cycle and the continuous distribution of the abnormal links. In a specific implementation of an embodiment of the present invention, the process of obtaining the cycle abnormality degree includes: multiplying the current abnormality coefficient of each abnormal link by the number of abnormal links in the continuous abnormal segment as the weighted abnormality coefficient of each abnormal link; and determining the cycle abnormality degree based on the average of the weighted abnormality coefficients of all abnormal links in each production cycle.

[0067] For each production cycle, when the abnormal links are relatively continuous, a longer continuous abnormal segment will be formed; therefore, the more abnormal links there are in a continuous abnormal segment, the more likely it is a systemic problem, and the greater the impact on the production cycle abnormality; therefore, for each abnormal link, the more abnormal links there are in the continuous abnormal segment, the greater the weight of the abnormal situation represented by the current abnormal coefficient of the abnormal link when representing the abnormal situation of the production cycle; therefore, first, the current abnormal coefficient of the abnormal link is weighted by the number of abnormal links in the continuous abnormal segment through the product method to determine the weighted abnormal coefficient; then, the weighted abnormal coefficient of all abnormal links in the production cycle is combined to determine the degree of cycle abnormality that more accurately represents the abnormal situation of the production cycle.

[0068] The corresponding sustained anomaly percentage is determined by the ratio of the number of abnormal links in the continuous abnormal segment with the largest number of abnormal links to the total number of corresponding production links in each production cycle. From the perspective of each production cycle as a whole, the greater the number of abnormal links in the continuous abnormal segment with the largest number of abnormal links, the more serious the systemic problem, and the greater the impact on the entire corresponding production cycle, and the more abnormal the production process in the corresponding production cycle. Using the total number of production links as the denominator makes the resulting sustained anomaly percentage more robust, avoiding large deviations in the calculated results due to differences in the number of production links in different production environments.

[0069] Furthermore, based on the characteristic that the greater the degree of cycle abnormality and the greater the proportion of persistent abnormalities, the more abnormal the corresponding production cycle, the degree of cycle abnormality and the proportion of persistent abnormalities are combined to determine the degree of cycle abnormality for each production cycle. In a specific implementation of an embodiment of the present invention, the cycle abnormality coefficient for each production cycle is determined based on the product of the degree of cycle abnormality and the proportion of persistent abnormalities. Those skilled in the art may choose to implement this using other basic mathematical methods, which are not limited or elaborated herein.

[0070] Step S103: Determine the corresponding tripping probability based on the cycle abnormality coefficient and the similarity of the change in the total output current between each production cycle and the historical tripping cycle; and perform circuit breaker control using the circuit breaker threshold adjusted by the tripping probability.

[0071] For different production cycles, when current anomalies occur, there may be various factors that lead to current anomalies. For example, equipment aging causes internal impedance imbalance, load imbalance causes local overload, and electrical component failure causes circuit anomalies. These factors will cause overload or circuit failure. Non-fault factors such as large fluctuations in power supply voltage and drastic changes in ambient temperature may also cause the current to deviate from the normal range. Since the built-in protection mechanism of the circuit breaker has differentiated response logic for different types of current anomalies, such as instantaneous tripping for circuit failure and delayed protection for overload conditions, in order to ensure the safe operation of the production process, protection must be performed in advance before the current exceeds the preset threshold. It is necessary to combine real-time current data with the historical tripping records of the circuit breaker to determine the tripping possibility of the circuit breaker in different production cycles and adjust the threshold.

[0072] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the tripping possibility includes:

[0073] The total output current at all sampling moments corresponding to each production cycle is arranged in chronological order and then curve-fitted to determine the corresponding periodic current timing curve. Each production cycle is taken as the target cycle in turn. During the historical production process, the production cycle with the same production conditions as the target cycle and a circuit breaker tripping is taken as the corresponding historical tripping cycle. Based on the dynamic time warping algorithm, the DTW distance between the periodic current timing curve of the target cycle and the periodic current timing curve of each corresponding historical tripping cycle is negatively correlated to determine the curve similarity of each historical tripping cycle. The historical tripping cycle with the greatest curve similarity is taken as the matching tripping cycle of the target cycle.

[0074] In a specific implementation of an embodiment of the present invention, a method for negatively correlating the DTW distance is as follows: the opposite of the DTW distance is used as the power of an exponential function with a natural constant as the base, and the output result of the exponential function is the value after negative correlation mapping, that is, the curve similarity. Those skilled in the art may choose to implement it by using other basic mathematical methods, such as the inverse, which will not be limited or elaborated here. It should be noted that the dynamic time warping algorithm is a technical means well known to those skilled in the art and will not be further elaborated here.

[0075] For each production cycle, the higher the similarity between its corresponding cycle current timing curve and the cycle current timing curve of the historical tripping cycle, the more the production cycle conforms to the characteristics of the corresponding historical tripping cycle, and the higher the possibility of the corresponding historical tripping cycle tripping. Therefore, in order to analyze the tripping possibility of each production cycle, the historical tripping cycle with the greatest curve similarity corresponding to each production cycle is further analyzed as the matching tripping cycle, so as to analyze whether the corresponding production cycle has the same tripping current characteristics as the matching tripping cycle.

[0076] See also Figure 2 , which shows a flow chart of a method for obtaining tripping probability of an intelligent circuit breaker control method provided by an embodiment of the present invention, the method comprising:

[0077] Step S201: determining a corresponding cycle matching degree based on the overlap between the abnormal link in the target cycle and the production link where the circuit breaker trips in the matching tripping cycle and the similarity of the corresponding curves.

[0078] In a specific implementation of the embodiment of the present invention, the process of obtaining the period matching degree includes:

[0079] The production link in which the circuit breaker trips during the matching tripping cycle is used as the matching tripping link; among all abnormal links in the target cycle, when there is an abnormal link belonging to the same production as the matching tripping link, the preset first tripping threshold is used as the tripping consistency of the target link; when there is no abnormal link belonging to the same production as the matching tripping link, the preset second tripping threshold is used as the tripping consistency of the target link; the preset first tripping threshold is greater than the preset second tripping threshold, and the preset second tripping threshold is greater than 0. In a specific implementation of an embodiment of the present invention, the preset first tripping threshold is set to 2, and the preset second tripping threshold is set to 1, which can be adjusted according to the specific implementation environment. The purpose of setting the preset second tripping threshold to be greater than 0 is to prevent the occurrence of 0 and negative numbers, which may affect the accuracy of the calculation process.

[0080] For each production cycle, if the abnormal link in the cycle coincides with the production link in which the circuit breaker tripped during the matching trip cycle, the closer the abnormal current characteristics in the production cycle match the abnormal current characteristics when the circuit breaker tripped during the corresponding matching trip cycle, the higher the degree of match between the production cycle and the corresponding matching trip cycle, and the greater the corresponding trip probability. Therefore, the greater the trip consistency and the greater the similarity of the curves corresponding to the matching trip cycles, the higher the degree of match between the corresponding production cycle and the corresponding matching trip cycle. Therefore, the cycle matching degree is further determined by combining the curve similarity corresponding to the matching trip cycles with the trip consistency.

[0081] In a specific implementation of an embodiment of the present invention, the cycle matching degree corresponding to the target cycle is determined based on the product of the curve similarity corresponding to the matching tripping cycle and the tripping consistency. Those skilled in the art may use other basic mathematical methods to implement this, which is not limited or elaborated herein.

[0082] Step S202: performing negative correlation mapping on the difference between the maximum value of the total output current in the target cycle and the total output current when the circuit breaker trips in the corresponding matching tripping cycle to determine the corresponding current tripping characteristic value.

[0083] When a circuit breaker trips during a matching tripping cycle, it usually corresponds to a larger total output current. Therefore, for a target cycle, the closer its maximum total output current is to the total output current when the circuit breaker trips during the matching tripping cycle, the more the current variation during the target cycle conforms to the characteristics of a circuit breaker tripping during the matching tripping cycle, and the greater the corresponding tripping probability. In a specific implementation of an embodiment of the present invention, a negative correlation mapping method is used to obtain a current tripping characteristic value: the inverse of the difference between the maximum total output current during the target cycle and the total output current when the circuit breaker trips during the corresponding matching tripping cycle is raised to the power of an exponential function with a natural constant as the base. The output result of the exponential function is the value after negative correlation mapping, i.e., the current tripping characteristic value.

[0084] Step S203: The number of occurrences of the tripping type corresponding to the matching tripping cycle in all historical tripping cycles is used as the tripping problem characteristic value.

[0085] For a matching tripping cycle, the higher the frequency of a tripping type, the more frequently that type occurred in historical production processes. Therefore, the likelihood of that type occurring in the target cycle corresponding to that matching tripping cycle is higher. Therefore, the number of occurrences of the tripping type corresponding to the matching tripping cycle across all historical tripping cycles—that is, the tripping problem characteristic value—is used for analysis. The larger the corresponding tripping problem characteristic value, the higher the likelihood of tripping in the target cycle. It should be noted that when a matching tripping cycle contains more than two tripping types, the number of occurrences of the tripping type with the highest frequency across all historical tripping cycles is used as the tripping problem characteristic value.

[0086] Step S204: Normalize the product of the cycle anomaly coefficient, the cycle matching degree, the current tripping characteristic value, and the tripping problem characteristic value of the target cycle to determine the tripping possibility of the target cycle.

[0087] The larger the target cycle's cycle anomaly coefficient, the more abnormal the circuit changes in the target cycle, and the greater the likelihood of tripping. Therefore, by further combining the correlation, the target cycle's tripping probability is determined based on the cycle anomaly coefficient, cycle matching, current tripping characteristic value, and tripping problem characteristic value, thereby increasing the accuracy of the calculated tripping probability. It should be noted that in addition to determining the tripping probability through the product normalization method, those skilled in the art may use other basic mathematical methods to achieve this, which are not limited or elaborated upon herein.

[0088] The greater the tripping probability, the more the current variation characteristics of the corresponding production cycle conform to the current variation characteristics of the tripping situation. Therefore, in order to better protect the circuit, after determining the tripping probability of the circuit breaker in each production cycle, the circuit breaker threshold for the next production cycle can be adaptively adjusted according to the current anomaly reflected by the tripping probability, so that the accuracy of circuit breaker control based on the adaptively adjusted circuit breaker threshold is higher.

[0089] Preferably, in some possible implementations of the embodiments of the present invention, the process of controlling the circuit breaker using the circuit breaker threshold after the tripping probability is adjusted includes:

[0090] The product of the negative correlation mapping value of the tripping possibility of each production cycle and the preset circuit breaker threshold is used as the optimized circuit breaker threshold of the next production cycle; and the circuit breaker is controlled for the next production cycle according to the optimized circuit breaker threshold. In a specific implementation of an embodiment of the present invention, the negative correlation mapping method of the tripping possibility includes: taking half of the difference between the preset mapping parameter and the tripping possibility as the negative correlation mapping value of the tripping possibility; wherein the preset mapping parameter is set to 2.5, and setting it to 2.5 can avoid the circuit breaker threshold adjustment being too large, resulting in non-compliance with the objective environment; and the preset circuit breaker threshold is set to 1.2 times the rated current during the production process. The preset mapping parameter and the preset circuit breaker threshold can be adjusted according to the specific implementation environment.

[0091] When the tripping probability is high, it indicates that there may be a problem with the electrical equipment or production process. In this case, the circuit breaker threshold needs to be lowered to make the circuit breaker more sensitive to current anomalies and to promptly detect and respond to potential faults. When the tripping probability is low, it indicates that the current is relatively normal, there are no problems or fewer problems with the electrical equipment or production process, and production is relatively stable. In this case, the circuit breaker threshold can be increased to reduce false tripping caused by some minor, temporary current fluctuations and improve production continuity. Therefore, it is necessary to negatively correlate the tripping probability and then weight the preset circuit breaker threshold so that the accuracy of circuit breaker control for the next production cycle based on the optimized circuit breaker threshold is higher. When the total output current is detected to be greater than the calculated optimized circuit breaker threshold in the next production cycle, the circuit breaker is tripped to achieve the purpose of protecting the circuit.

[0092] In summary, an intelligent circuit breaker control method is based on the characteristic that abnormal current will cause unstable current changes. First, the abnormal links are screened out according to the fluctuation and mutation of current in each production link; then, based on the continuity of the production process and the time-series continuous distribution of the abnormal links in the production cycle, the cycle abnormality coefficient that characterizes the abnormality of the production cycle is determined; further, on the basis of the cycle abnormality coefficient, the similarity between the current changes in historical tripping cycles and the current changes in the current cycle is combined to determine the tripping probability; thus, the circuit breaker threshold is adaptively adjusted according to the tripping probability, so that the accuracy of circuit breaker control based on the adaptively adjusted circuit breaker threshold is higher.

[0093] The present application also provides an intelligent circuit breaker, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, any one of the steps of the intelligent circuit breaker control method is implemented.

[0094] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0095] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. An intelligent circuit breaker control method, characterized in that: The method comprises: In each production cycle of the industrial production process, the total output current of all current devices at each sampling moment in each production link is collected; Determine the corresponding current anomaly coefficient based on the fluctuation and mutation of the total output current in each production link; screen out abnormal links based on the current anomaly coefficient; determine the corresponding cycle anomaly coefficient based on the time series continuous distribution of abnormal links in each production cycle and the corresponding current anomaly coefficient; The corresponding tripping probability is determined according to the cycle abnormality coefficient and the similarity of the change of the total output current between each production cycle and the historical tripping cycle; and the circuit breaker is controlled by the circuit breaker threshold adjusted by the tripping probability.

2. The intelligent circuit breaker control method according to claim 1, characterized in that: The process of obtaining the current anomaly coefficient includes: The total output current at all sampling moments in each production link is arranged in chronological order and then curve-fitted to determine the link current timing curve; the corresponding current mutation abnormality degree is determined based on the number of maximum value points on the link current timing curve and the attenuation mutation of the total output current; Each production link in each production cycle corresponds to the same production link in other production cycles as the corresponding reference link; the range of the total output current of all reference links corresponding to each production link is used as the reference current range; the normalized value of the difference between the range of the total output current corresponding to each production link and the corresponding reference current range is used as the comparison current abnormality of each production link; The current anomaly coefficient of each production link is determined according to the product of the current mutation abnormality degree and the comparison current abnormality degree.

3. The intelligent circuit breaker control method according to claim 2, characterized in that: The process of obtaining the abnormal degree of the current mutation includes: On the link current timing curve, the corresponding current decay interval is determined according to the time interval between each maximum point and the next adjacent minimum point; the corresponding current decay amplitude is determined according to the difference between the total output current of each maximum point and the total output current of the next adjacent minimum point; Determine the corresponding reference attenuation interval based on the average of the current attenuation intervals corresponding to all the maximum points; determine the corresponding reference attenuation amplitude based on the average of the current attenuation amplitudes corresponding to all the maximum points; The current instability is determined according to the product between the number of maximum points on the link current timing curve and the reference attenuation amplitude; and the corresponding current mutation abnormality degree is determined by normalizing the ratio between the current instability and the reference attenuation interval.

4. The intelligent circuit breaker control method according to claim 1, characterized in that: The process of obtaining the abnormal link includes: The production link in which the current abnormality coefficient is greater than the preset abnormality threshold is regarded as an abnormal link.

5. The intelligent circuit breaker control method according to claim 1, characterized in that: The process of obtaining the periodic anomaly coefficient includes: Merge all adjacent abnormal links in each production cycle to obtain all continuous abnormal segments; the production links adjacent to the continuous abnormal segments are not abnormal links and all the production links in the continuous abnormal segments are continuous abnormal links; According to the overall size of the current abnormality coefficient of each abnormal link in each production cycle and the continuous distribution of the abnormal links, the corresponding cycle abnormality degree is determined; Determine the corresponding continuous abnormality ratio based on the ratio between the number of abnormal links in the continuous abnormal segment with the largest number of abnormal links in each production cycle and the total number of corresponding production links; The cycle abnormality coefficient of each production cycle is determined according to the product of the cycle abnormality degree and the continuous abnormality proportion.

6. The intelligent circuit breaker control method according to claim 5, characterized in that: The process of obtaining the degree of periodic anomaly includes: The product of the current abnormality coefficient of each abnormal link and the number of abnormal links in the continuous abnormal segment is used as the weighted abnormality coefficient of each abnormal link; the degree of cycle abnormality is determined based on the average of the weighted abnormality coefficients of all abnormal links in each production cycle.

7. The intelligent circuit breaker control method according to claim 1, characterized in that: The process of obtaining the tripping possibility includes: Arrange the total output current at all sampling moments corresponding to each production cycle in chronological order and perform curve fitting to determine the corresponding periodic current timing curve; Each production cycle is taken as the target cycle in turn; in the historical production process, the production cycle with the same production conditions as the target cycle and the circuit breaker tripping is taken as the corresponding historical tripping cycle; according to the dynamic time warping algorithm, the DTW distance between the periodic current timing curve of the target cycle and the periodic current timing curve of each corresponding historical tripping cycle is negatively correlated and mapped to determine the curve similarity of each historical tripping cycle; the historical tripping cycle with the greatest curve similarity is taken as the matching tripping cycle of the target cycle; Determine the corresponding cycle matching degree based on the overlap between the abnormal link in the target cycle and the production link where the circuit breaker trips in the matching tripping cycle and the corresponding curve similarity; Performing a negative correlation mapping on the difference between the maximum value of the total output current in the target cycle and the total output current when the circuit breaker trips in the corresponding matching tripping cycle to determine the corresponding current tripping characteristic value; The number of occurrences of the tripping type corresponding to the matching tripping cycle in all historical tripping cycles is used as the tripping problem characteristic value; The product of the cycle anomaly coefficient of the target cycle, the cycle matching degree, the current tripping characteristic value, and the tripping problem characteristic value is normalized to determine the tripping possibility of the target cycle.

8. The intelligent circuit breaker control method according to claim 7, characterized in that: The process of obtaining the period matching degree includes: The production link in which the circuit breaker trips during the matching tripping cycle is used as the matching tripping link; Among all abnormal links of the target cycle, when there is an abnormal link belonging to the same production as the matching trip link, a preset first trip threshold is used as the trip consistency of the target link; when there is no abnormal link belonging to the same production as the matching trip link, a preset second trip threshold is used as the trip consistency of the target link; the preset first trip threshold is greater than the preset second trip threshold, and the preset second trip threshold is greater than 0; The cycle matching degree corresponding to the target cycle is determined according to the product of the curve similarity corresponding to the matching tripping cycle and the tripping consistency.

9. The intelligent circuit breaker control method according to claim 1, characterized in that: The process of controlling the circuit breaker by using the circuit breaker threshold value after the tripping probability is adjusted includes: The product of the negative correlation mapping value of the tripping possibility of each production cycle and the preset circuit breaker threshold is used as the optimized circuit breaker threshold of the next production cycle; and the circuit breaker of the next production cycle is controlled according to the optimized circuit breaker threshold.

10. An intelligent circuit breaker, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 9 are implemented.

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