Intelligent circuit breaker state identification method and system based on electric signals

Abstract

The invention discloses an intelligent circuit breaker state identification method and system based on an electric signal, and the method comprises the steps: detecting a current flowing through a circuit breaker in real time, and judging whether the current exceeds a preset overload current threshold value or not; when the current exceeds an overload current threshold value, detecting a real-time bending angle of the bimetallic strip at a preset frequency; monitoring the tripping state of the circuit breaker, and generating a circuit breaker fault alarm signal when the real-time bending angle exceeds a preset safety angle threshold value and the circuit breaker does not execute the tripping action. According to the invention, the current is monitored in real time, the bending angle of the bimetallic strip is detected during overload, and the alarm signal is generated during abnormity, so that the fault detection time is greatly shortened compared with the traditional mode, hidden dangers can be found at the early stage of overload, and the circuit is effectively prevented from being burnt out due to long overload time.

Description

Technical Field

[0001] The present invention relates to the technical field of fault detection, and particularly to an intelligent circuit breaker status recognition method and system based on electrical signals. Background Art

[0002] In modern power systems, circuit breakers, as key devices for ensuring the safe operation of circuits, play a crucial role. Most traditional circuit breakers rely on bimetallic strips as the core overload protection components. A bimetallic strip is composed of two metals with different coefficients of thermal expansion. Under normal operating current, the bimetallic strip remains flat to ensure continuous circuit conduction. However, with the increase in the number of years of use and the influence of complex working environments (such as high temperature, high humidity, strong electromagnetic interference, etc.), the mechanical properties of the bimetallic strip gradually change.

[0003] On the one hand, long-term thermal expansion and contraction cycles may cause changes in the internal microstructure of the metal material, resulting in fluctuations in key mechanical parameters such as elastic modulus and yield strength. On the other hand, chemical corrosion factors in the environment may also cause oxidation, corrosion, etc. on the surface of the bimetallic strip, further weakening its mechanical properties. When an overload occurs in the circuit, theoretically, the bimetallic strip should quickly heat up and bend, and trigger the circuit-breaking mechanism after reaching the set bending angle, thereby cutting off the circuit to protect the safety of downstream equipment and lines.

[0004] However, the actual situation is that due to the change of mechanical properties, the bimetallic strip often fails to reach the preset bending angle in time during overload, resulting in delayed or even failed circuit-breaking actions. This phenomenon is likely to cause overheating of the line, and may even lead to major safety accidents such as electrical fires in severe cases, posing a great threat to people's lives and property safety and also causing serious challenges to the stable and reliable operation of the power system. Summary of the Invention

[0005] In order to solve at least one of the above-mentioned technical problems, the present invention provides an intelligent circuit breaker status recognition method and system based on electrical signals.

[0006] In a first aspect, the present invention provides an intelligent circuit breaker status recognition method based on electrical signals, the method comprising:

[0007] Real-time detect the current flowing through the circuit breaker, and determine whether the current exceeds a preset overload current threshold;

[0008] When the current exceeds the overload current threshold, detect the real-time bending angle of the bimetallic strip at a preset frequency;

[0009] Monitor the circuit breaker tripping status, and generate a circuit breaker fault warning signal when the real-time bending angle exceeds a preset safety angle threshold and the circuit breaker does not perform a tripping action;

[0010] Detecting the real-time bending angle of the bimetallic strip at a preset frequency, including:

[0011] Calculating the cumulative heat generated by the bimetallic strip according to the integral of the current over time;

[0012] Calculating the real-time bending angle of the bimetallic strip based on the cumulative heat and the difference in expansion coefficients of different metal layers of the bimetallic strip.

[0013] Preferably, the calculating the real-time bending angle of the bimetallic strip based on the cumulative heat and the difference in expansion coefficients of different metal layers of the bimetallic strip includes:

[0014] Calculating the actual temperature rise of the bimetallic strip based on the cumulative heat, combined with the ambient temperature, the mass, and the specific heat capacity of the bimetallic strip;

[0015] Subtracting the starting deformation temperature of the bimetallic strip from the actual temperature rise to obtain the effective temperature rise of the bimetallic strip;

[0016] Based on the effective temperature rise, the difference in expansion coefficients of the two-layer materials of the bimetallic strip, and the total thickness, and according to the calculated radius of curvature of the bimetallic strip, determining the bending angle of the bimetallic strip.

[0017] Preferably, the method further includes:

[0018] When the duration for which the current exceeds the overload current threshold exceeds the preset time threshold, generating a circuit breaker fault warning signal.

[0019] Preferably, before judging whether the current exceeds the preset overload current threshold, it further includes:

[0020] Establishing an adaptive sliding window based on the average duration of overload circuit breaker events in the historical fault database;

[0021] Performing a moving average process on the current within the window.

[0022] In a second aspect, the present invention further provides an intelligent circuit breaker state recognition system based on electrical signals, and the system includes:

[0023] A current detection and overload judgment module, configured to detect the current flowing through the circuit breaker in real time and judge whether the current exceeds the preset overload current threshold;

[0024] A bimetallic strip bending angle detection module, configured to detect the real-time bending angle of the bimetallic strip at a preset frequency when the current exceeds the overload current threshold;

[0025] A circuit breaker state monitoring and warning module, configured to monitor the tripping state of the circuit breaker, and when the real-time bending angle exceeds the preset safety angle threshold and the circuit breaker does not perform a tripping action, generating a circuit breaker fault warning signal;

[0026] Detecting the real-time bending angle of the bimetal sheet at a preset frequency includes:

[0027] Calculating the cumulative heat generated by the bimetal sheet according to the integral of the current over time;

[0028] Calculating the real-time bending angle of the bimetal sheet based on the cumulative heat and the difference in expansion coefficients of different metal layers of the bimetal sheet.

[0029] Preferably, the circuit breaker status monitoring and alarming module is further configured to:

[0030] Calculating the actual temperature rise of the bimetal sheet based on the cumulative heat, combined with the ambient temperature, the mass, and the specific heat capacity of the bimetal sheet;

[0031] Subtracting the starting deformation temperature of the bimetal sheet from the actual temperature rise to obtain the effective temperature rise of the bimetal sheet;

[0032] Based on the effective temperature rise, the difference in expansion coefficients of the two layers of materials of the bimetal sheet, and the total thickness, and calculating the radius of curvature of the bimetal sheet to determine the bending angle of the bimetal sheet.

[0033] Preferably, the system further includes:

[0034] An overload duration monitoring and alarming module, configured to generate a circuit breaker fault alarm signal when the duration of the current exceeding the overload current threshold exceeds a preset time threshold.

[0035] Preferably, the current detection and overload judgment module is further configured to:

[0036] Establish an adaptive sliding window based on the average duration of overload circuit breaker events in the historical fault database;

[0037] Perform a moving average process on the current within the window.

[0038] In a third aspect, the present invention further provides an electronic device, including a processor and a memory, where the memory is used to store computer program code, and the computer program code includes computer instructions. When the processor executes the computer instructions, the electronic device executes the method according to the first aspect and any one of its possible implementation manners as described above.

[0039] In a fourth aspect, the present invention further provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor is caused to execute the method according to the first aspect and any one of its possible implementation manners as described above.

[0040] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0041] In view of the safety problem that the mechanical properties of the bimetal sheet of the circuit breaker change due to the service years, etc., and it may not be able to reach the set bending angle during overload and cannot cut off the circuit in time, the present invention detects the current in the circuit breaker loop in real time, and after signal conditioning, it is compared with the preset overload current threshold by the microprocessor. When the current is overloaded, at a preset frequency, the integral method is used to calculate the cumulative heat of the bimetal sheet. Combining the temperature collected by the ambient temperature sensor, the initial deformation temperature of the bimetal sheet, specific heat capacity, mass, etc., the effective temperature difference is calculated, and then the radius of curvature and the real-time bending angle are calculated according to parameters such as the thermal expansion coefficient and thickness of the bimetal sheet. Further, the tripping state is monitored by the tripping state monitoring sensor. When the bending angle exceeds the threshold and no tripping occurs, it is determined that there is a fault in the circuit breaker. The present invention detects the state of the bimetal sheet of the circuit breaker in real time during overload, and through comprehensive analysis of multiple parameters, discovers potential faults in time, greatly shortening the fault detection time and reducing misjudgment and missed judgment compared with the traditional method.

[0042] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and do not limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the background art, the following will describe the drawings required to be used in the embodiments of the present invention or the background art.

[0044] The drawings herein are incorporated into the specification and constitute a part of this specification. These drawings show embodiments that conform to the present disclosure and are used together with the specification to illustrate the technical solutions of the present disclosure.

[0045] Figure 1 It is a schematic flow chart of an intelligent circuit breaker state recognition method based on electrical signals provided by an embodiment of the present invention;

[0046] Figure 2 It is a schematic flow chart of calculating the bending angle of the bimetal sheet provided by an embodiment of the present invention;

[0047] Figure 3 It is a schematic structural diagram of an intelligent circuit breaker state recognition system based on electrical signals provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0048] To enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present invention.

[0049] Referring to "embodiments" herein means that the specific features, structures, or characteristics described in connection with the embodiments can be included in at least one embodiment of the present invention. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0050] Due to the influence of the increasing service years and complex working environment, the mechanical properties of the bimetallic strip in the circuit breaker change. When overloaded, it cannot reach the set bending angle in time to trigger the circuit break, easily leading to safety accidents such as overheating of the circuit and even electrical fires.

[0051] Please refer to Figure 1 , Figure 1 which is a schematic flow chart of an intelligent circuit breaker state recognition method based on electrical signals provided by an embodiment of the present invention. As Figure 1 shown, the method includes:

[0052] S100, detecting the current flowing through the circuit breaker in real time, and determining whether the current exceeds a preset overload current threshold;

[0053] In the circuit of the circuit breaker, a current sensor is used to collect current signals in real time. The current sensor can adopt a Hall effect current sensor, which is based on the Hall effect principle, can quickly and accurately sense the current change in the circuit, and has good linearity and anti-interference ability. The collected current signal is processed by a signal conditioning circuit for amplification, filtering, etc., and the processed signal is transmitted to the microprocessor. The microprocessor compares and judges the current signal collected in real time according to the preset overload current threshold in the factory settings of the circuit breaker. If the real-time current value is greater than the preset overload current threshold, it is determined that the current is overloaded, triggering the subsequent detection process; otherwise, the real-time current detection state is continued.

[0054] S200, when the current exceeds the overload current threshold, detecting the real-time bending angle of the bimetallic strip at a preset frequency;

[0055] Referring to Figure 2 , the detecting the real-time bending angle of the bimetallic strip at a preset frequency includes:

[0056] S210, calculate the cumulative heat generated by the bimetallic strip according to the integral of current over time;

[0057] S220, calculate the real-time bending angle of the bimetallic strip based on the cumulative heat and the difference in expansion coefficients of different metal layers of the bimetallic strip.

[0058] Preferably, the calculating the real-time bending angle of the bimetallic strip based on the cumulative heat and the difference in expansion coefficients of different metal layers of the bimetallic strip includes:

[0059] Based on the cumulative heat, combined with the ambient temperature, the mass and specific heat capacity of the bimetallic strip, calculate the actual temperature rise of the bimetallic strip;

[0060] Subtract the initial deformation temperature of the bimetallic strip from the actual temperature rise to obtain the effective temperature rise of the bimetallic strip;

[0061] Based on the effective temperature rise, the difference in expansion coefficients of the two layers of materials of the bimetallic strip and the total thickness, and calculate the radius of curvature of the bimetallic strip according to, determine the bending angle of the bimetallic strip.

[0062] The microprocessor uses the trapezoidal integration method to perform integral operation on the current signal. The current-time curve is divided at preset time intervals, for example, every 0.1 second as an interval. The current change within each time interval is approximately regarded as a linear change, so that the area under the curve is divided into multiple trapezoids. By calculating the area of each trapezoid (that is, the accumulation of the product of current and time within each time interval), the integral of current over time is calculated to calculate the cumulative heat generated by the bimetallic strip. In this process, the microprocessor will record the current value at each time point in real time and perform dynamic calculation according to the time interval to ensure the calculation accuracy of the cumulative heat. After obtaining the cumulative heat Q, the microprocessor will combine the specific heat capacity c and mass m of the bimetallic strip to calculate the temperature rise value caused by current heating. The specific heat capacity c of the bimetallic strip is accurately measured through professional thermophysical experiments during the material research and development and production process and stored in the non-volatile memory of the microprocessor; while the mass m is obtained through the product manual of the bimetallic strip. Through the calculation formula Calculate the temperature rise value ΔT caused by current heating heat .

[0063] Use a thermistor temperature sensor to collect the ambient temperature T in real time env . The thermistor temperature sensor can quickly respond when the ambient temperature changes slightly and convert the temperature change into an electrical signal. The electrical signal is further processed by a signal conditioning circuit for amplification, filtering and linearization processing, and then transmitted to the microprocessor so that the microprocessor can obtain accurate ambient temperature information. The initial deformation temperature T of the bimetallic strip startIt is determined through strict temperature-deformation tests during the manufacturing process of the bimetallic strip and stored in the microprocessor. The microprocessor calculates based on the formula the temperature rise value ΔT caused by current heating heat , the ambient temperature T collected in real time env and the starting deformation temperature T start to perform comprehensive calculations, thereby obtaining the effective temperature difference ΔT eff . The different thermal expansion coefficients α 1 , α 2 of the two layers of the bimetallic strip are determined by detailed testing and analysis of the thermal expansion properties of different metal materials during the material selection stage. The thickness t of the bimetallic strip is measured during the production process using a high-precision thickness measuring instrument (such as a laser thickness gauge, whose measurement accuracy can reach the micron level) and stored in the microprocessor. The microprocessor, according to the formula substitutes the obtained thermal expansion coefficients α 1 , α 2 the thickness t and the effective temperature difference ΔT eff into the formula for precise calculation to obtain the radius of curvature ρ.

[0064] In a possible embodiment, when one end of the bimetallic strip is fixed, similar to a cantilever beam structure, the geometric relationship between its bending angle and the radius of curvature can be derived through the bending theory of the beam. The length of the bimetallic strip is L, and the radius of curvature is ρ. It is approximately considered that the bending arc of the bimetallic strip is a section of a circular arc, and there is the following relationship between the vertical displacement y of the free end of the bimetallic strip and the radius of curvature ρ and the length L And the bending angle θ, in radians, can be calculated through , where the relationship between the arc length s (here approximately the length L of the bimetallic strip), the radius of curvature ρ, and the central angle (i.e., the bending angle θ) is s = ρθ. According to the previously calculated radius of curvature ρ, combined with the known length L of the bimetallic strip, substitute into the above formula to calculate the bending angle θ. For example, given that the length of the bimetallic strip L = 50 mm and the calculated radius of curvature ρ = 200 mm, then the bending angle

[0065] In another possible embodiment, when the bimetallic strip is fixed in the middle and both ends are freely bent, its bending situation is relatively more complex, but it can also be analyzed based on geometric relationships and the bending theory of the beam. The bimetallic strip is divided into left and right parts from the middle, and each part can be regarded as a cantilever beam with one end fixed (the length is half of the original length of the bimetallic strip, i.e., ). For one part (taking the left side as an example), the vertical displacement y 1 of its free end and the radius of curvature ρ and the half length The relationship can also use the approximate formula Total vertical displacement at both ends of the entire bimetallic strip When calculating the bending angle, consider the rotation of one end of the bimetallic strip relative to the fixed point. Since the two ends of the bimetallic strip are symmetrically bent, let the bending angle at one end be θ 1 , and similarly according to the relationship between arc length, radius of curvature, and central angle, for this part of the bimetallic strip with a length of , there is Then the total bending angle For example, if the length of the bimetallic strip L = 60 mm and the calculated radius of curvature ρ = 300 mm, then the bending angle at one end Total bending angle θ total = 2θ 1 = 0.2 radians.

[0066] In this embodiment, by accurately calculating the bending angle of the bimetallic strip under different fixing methods and combining the previous calculation processes for heat, temperature, and radius of curvature, it is possible to more accurately judge the actual bending state of the bimetallic strip in the circuit breaker under different working conditions, thereby improving the accuracy and reliability of circuit breaker fault detection.

[0067] S300, monitor the tripping state of the circuit breaker. When the real-time bending angle exceeds the preset safety angle threshold and the circuit breaker does not perform a tripping action, generate a circuit breaker fault warning signal;

[0068] Through a tripping state monitoring sensor, such as a microswitch or a position sensor, the change in the tripping position of the circuit breaker can be accurately detected, and the tripping state of the circuit breaker can be monitored in real time. When the real-time bending angle of the bimetallic strip calculated by the microprocessor exceeds the preset safety angle threshold, the safety angle threshold is set and stored in the microprocessor according to the design requirements and safety specifications of the circuit breaker at the factory. Further, when the tripping state monitoring sensor feeds back that the circuit breaker does not perform a tripping action, the microprocessor immediately generates a circuit breaker fault warning signal. The warning signal is sent to the remote monitoring center or the local alarm device through the wireless communication module to remind relevant personnel to perform fault handling in a timely manner.

[0069] In this embodiment, aiming at the safety problem that the mechanical properties of the bimetal strip change due to the service years of the circuit breaker, etc., and it may not be able to reach the set bending angle during overload and cannot cut off the circuit in time. By detecting the current in the circuit breaker loop in real time, after signal conditioning, it is compared with the preset overload current threshold by the microprocessor. When the current is overloaded, at the preset frequency, the integral method is used to calculate the cumulative heat of the bimetal strip. Combining the temperature collected by the ambient temperature sensor, the starting deformation temperature of the bimetal strip, specific heat capacity, mass, etc., the effective temperature difference is calculated. Then, according to the parameters such as the thermal expansion coefficient and thickness of the bimetal strip, the radius of curvature and the real-time bending angle are calculated. After calculating the real-time bending angle, the tripping state is monitored by the tripping state monitoring sensor. When the bending angle exceeds the threshold and the circuit breaker has not tripped, it is determined that the circuit breaker has a fault. The present invention can timely discover potential fault hazards by detecting the state of the bimetal strip in real time during overload of the circuit breaker and through comprehensive analysis of multiple parameters. Compared with the traditional method, the fault detection time is greatly shortened, and misjudgment and missed judgment are reduced.

[0070] Preferably, the method further includes:

[0071] When the duration that the current exceeds the overload current threshold exceeds the preset time threshold, a circuit breaker fault alarm signal is generated.

[0072] In this embodiment, when the current is in the overload state for a long time, even if the real-time bending angle of the bimetal strip has not exceeded the preset safety angle threshold, it will cause potential damage to the circuit breaker and the line. This step can trigger the fault alarm in time, which can not only discover the potential fault risk caused by long-term overload earlier, avoid the further deterioration of the fault, but also complement the method of judging the fault based on the bending angle of the bimetal strip, form a more comprehensive and reliable fault detection system, improve the accuracy and timeliness of judging the circuit breaker fault, thus better ensuring the line safety, reducing the probability of power accidents caused by circuit breaker faults, and at the same time helping the maintenance personnel to arrange the maintenance plan more reasonably and reduce the operation and maintenance costs.

[0073] Preferably, before judging whether the current exceeds the preset overload current threshold, it further includes:

[0074] Based on the average duration of overload circuit breaker events in the historical fault database, an adaptive sliding window is established;

[0075] Perform a moving average process on the current within the window.

[0076] By collecting and organizing the duration data of a large number of overload circuit breaker events, the average duration is calculated using weighted average. Based on this average duration, combined with the demand fluctuations of the actual application scenario and a certain safety margin, an adaptive sliding window is constructed. For example, if the calculated average duration is 5 seconds, the sliding window is set to 5 seconds. After the window is constructed, the current within the window is processed by moving average. Whenever new current data is collected, the earliest data within the sliding window is removed, and the arithmetic average of all current data within the current window is recalculated to ensure that the average current within the window always reflects the overall trend of the current during the current period.

[0077] In this embodiment, before determining whether the current exceeds the preset overload current threshold, an adaptive sliding window is constructed based on the historical fault database and the current within the window is processed by moving average, effectively filtering out short-term abnormal current fluctuations, avoiding misjudgment, making the current data smoother and more stable, clearly presenting the real change trend, providing a reliable basis for current threshold comparison, improving the reliability and stability of the circuit breaker status recognition method, reducing the probability of misjudgment, enhancing the line safety guarantee, and reducing unnecessary maintenance costs and potential power accident risks.

[0078] In summary, the method provided in this embodiment can at least achieve the following effects:

[0079] In view of the safety problem that the mechanical properties of the bimetal sheet of the circuit breaker may change due to the service years, etc., and it may not be able to reach the set bending angle during overload and cannot cut off the circuit in time, the present invention detects the current in the circuit breaker loop in real time, and after signal conditioning, it is compared with the preset overload current threshold by the microprocessor. When the current is overloaded, at a preset frequency, the integral method is used to calculate the cumulative heat of the bimetal sheet, combined with the temperature collected by the ambient temperature sensor, the initial deformation temperature of the bimetal sheet, specific heat capacity, mass, etc., to calculate the effective temperature difference, and then calculate the radius of curvature and the real-time bending angle according to the parameters such as the thermal expansion coefficient and thickness of the bimetal sheet. Further, the tripping state is monitored by the tripping state monitoring sensor. When the bending angle exceeds the threshold and no tripping occurs, it is determined that the circuit breaker has a fault. The present invention detects the state of the bimetal sheet of the circuit breaker in real time during overload, and through comprehensive analysis of multiple parameters, discovers potential fault hazards in time, greatly shortening the fault detection time compared with the traditional method and reducing misjudgment and missed judgment.

[0080] See Figure 3 , in an embodiment, an intelligent circuit breaker status recognition system based on electrical signals is further provided. The system includes:

[0081] A current detection and overload judgment module 100, configured to detect the current flowing through the circuit breaker in real time and determine whether the current exceeds a preset overload current threshold;

[0082] The bimetal bending angle detection module 200 is used to detect the real-time bending angle of the bimetal at a preset frequency when the current exceeds the overload current threshold;

[0083] The circuit breaker status monitoring and alarm module 300 is used to monitor the tripping status of the circuit breaker. When the real-time bending angle exceeds the preset safety angle threshold and the circuit breaker does not execute the tripping action, a circuit breaker fault alarm signal is generated;

[0084] The detecting the real-time bending angle of the bimetal at a preset frequency includes:

[0085] Calculating the cumulative heat generated by the bimetal according to the integral of the current over time;

[0086] Based on the cumulative heat and the expansion coefficient difference between different metal layers of the bimetal, calculating the real-time bending angle of the bimetal.

[0087] Preferably, the circuit breaker status monitoring and alarm module 300 is further used for:

[0088] Based on the cumulative heat, combining the ambient temperature, the mass and specific heat capacity of the bimetal, calculating the actual temperature rise of the bimetal;

[0089] Subtracting the starting deformation temperature of the bimetal from the actual temperature rise to obtain the effective temperature rise of the bimetal;

[0090] Based on the effective temperature rise, the expansion coefficient difference and the total thickness of the two layers of materials of the bimetal, and according to calculating the radius of curvature of the bimetal, determining the bending angle of the bimetal.

[0091] Preferably, the system further includes:

[0092] Continue to refer to Figure 3 , the overload duration monitoring and alarm module 400 is used to generate a circuit breaker fault alarm signal when the duration of the current exceeding the overload current threshold exceeds the preset time threshold.

[0093] Preferably, the current detection and overload judgment module is further used for:

[0094] Based on the average duration of the overload circuit breaker events in the historical fault database, establishing an adaptive sliding window;

[0095] Performing a moving average process on the current within the window.

[0096] It can be understood that the functions or modules included in the system provided in this embodiment can be used to execute the methods described in the above method embodiments. The specific implementation can refer to the description of the above method embodiments. For the sake of brevity, it will not be repeated here.

[0097] The present invention also provides an electronic device, comprising a processor and a memory, where the memory is used to store computer program code, and the computer program code includes computer instructions. When the processor executes the computer instructions, the electronic device executes the method according to any one of the above possible implementation manners.

[0098] The present invention also provides a computer-readable storage medium, in which a computer program is stored. The computer program includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor is caused to execute the method according to any one of the above possible implementation manners.

[0099] Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0100] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein. Those skilled in the art can also clearly understand that each embodiment of the present invention has different emphases. For the convenience and brevity of description, the same or similar parts may not be elaborated in different embodiments. Therefore, the parts not described or not elaborated in a certain embodiment can be referred to the descriptions of other embodiments.

Claims

1. An intelligent circuit breaker state identification method based on electrical signals, characterized in that: The method comprises: Detecting the current flowing through the circuit breaker in real time and determining whether the current exceeds a preset overload current threshold; When the current exceeds the overload current threshold, the real-time bending angle of the bimetallic strip is detected at a preset frequency; Monitor the tripping status of the circuit breaker, and generate a circuit breaker fault alarm signal when the real-time bending angle exceeds the preset safety angle threshold and the circuit breaker does not perform the tripping action; The method of detecting the real-time bending angle of the bimetallic strip at a preset frequency comprises: The accumulated heat generated by the bimetallic strip is calculated based on the integral of the current over time; Based on the accumulated heat and the difference in expansion coefficients of different metal layers of the bimetallic strip, the real-time bending angle of the bimetallic strip is calculated.

2. The intelligent circuit breaker state identification method based on electrical signals according to claim 1 is characterized in that: The calculating the real-time bending angle of the bimetallic strip based on the accumulated heat and the difference in expansion coefficients of different metal layers of the bimetallic strip comprises: Based on the accumulated heat, combined with the ambient temperature and the mass and specific heat capacity of the bimetallic strip, the actual temperature rise of the bimetallic strip is calculated; Subtract the initial deformation temperature of the bimetallic strip from the actual temperature rise to obtain the effective temperature rise of the bimetallic strip. The bending angle of the bimetallic strip is determined based on the effective temperature rise, the difference in expansion coefficients of the two layers of the bimetallic strip and the total thickness, and by calculating the curvature radius of the bimetallic strip.

3. The intelligent circuit breaker state identification method based on electrical signals according to claim 1 is characterized in that: The method further comprises: When the duration of the current exceeding the overload current threshold exceeds a preset time threshold, a circuit breaker fault alarm signal is generated.

4. The intelligent circuit breaker state identification method based on electrical signals according to claim 1, characterized in that: Before determining whether the current exceeds a preset overload current threshold, the method further includes: Based on the average duration of overload circuit breaker events in the historical fault database, an adaptive sliding window is established; Perform sliding average processing on the current in the window.

5. An intelligent circuit breaker status identification system based on electrical signals, characterized in that: The system comprises: A current detection and overload judgment module, used to detect the current flowing through the circuit breaker in real time and judge whether the current exceeds a preset overload current threshold; A bimetallic strip bending angle detection module is used to detect the real-time bending angle of the bimetallic strip at a preset frequency when the current exceeds the overload current threshold; The circuit breaker status monitoring and alarm module is used to monitor the circuit breaker tripping status and generate a circuit breaker fault alarm signal when the real-time bending angle exceeds the preset safety angle threshold and the circuit breaker does not perform the tripping action; The method of detecting the real-time bending angle of the bimetallic strip at a preset frequency comprises: The accumulated heat generated by the bimetallic strip is calculated based on the integral of the current over time; Based on the accumulated heat and the difference in expansion coefficients of different metal layers of the bimetallic strip, the real-time bending angle of the bimetallic strip is calculated.

6. The intelligent circuit breaker state identification system based on electrical signals according to claim 5, characterized in that: The circuit breaker status monitoring and alarm module is also used for: Based on the accumulated heat, combined with the ambient temperature and the mass and specific heat capacity of the bimetallic strip, the actual temperature rise of the bimetallic strip is calculated; Subtract the initial deformation temperature of the bimetallic strip from the actual temperature rise to obtain the effective temperature rise of the bimetallic strip. The bending angle of the bimetallic strip is determined based on the effective temperature rise, the difference in expansion coefficients of the two layers of the bimetallic strip and the total thickness, and by calculating the curvature radius of the bimetallic strip.

7. The intelligent circuit breaker state identification system based on electrical signals according to claim 5, characterized in that: The system further comprises: The overload duration monitoring and alarm module is used to generate a circuit breaker fault alarm signal when the duration of the current exceeding the overload current threshold exceeds a preset time threshold.

8. The intelligent circuit breaker status identification system based on electrical signals according to claim 5, characterized in that: The current detection and overload judgment module is also used for: Based on the average duration of overload circuit breaker events in the historical fault database, an adaptive sliding window is established; Perform sliding average processing on the current in the window.

9. An electronic device, characterized in that: include: A processor and a memory, wherein the memory is used to store computer program codes, wherein the computer program codes include computer instructions, and when the processor executes the computer instructions, the electronic device executes the intelligent circuit breaker state identification method based on electrical signals as described in any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor executes the intelligent circuit breaker state identification method based on electrical signals as described in any one of claims 1 to 4.

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