A Data-Based Method and System for Detecting the Electrical Life of Intelligent Circuit Breakers

Abstract

This invention relates to the field of electrical equipment condition monitoring technology, and particularly to a method and system for detecting the electrical life of intelligent circuit breakers based on data analysis. The method includes the following steps: synchronously collecting the voltage and current sequences of the trip coil, the main circuit current sequence, and ambient temperature data during circuit breaker operation; extracting the measured operating time based on the coil data; calculating the mechanical health factor by combining the ambient temperature and the measured operating time; obtaining the mechanism wear status index after decoupling and correction by the electrodynamic interference factor derived from the peak current of the main circuit; calculating the single-cycle electrical life loss value by constructing a nonlinear damage model containing basic electrothermal losses and mechanical degradation acceleration factors; accumulating historical loss values ​​and combining them with dynamic thresholds to achieve full life cycle prediction; eliminating the evaluation interference of environmental factors and high-current electrodynamic forces through deep data analysis; quantifying the nonlinear accelerating effect of mechanism hysteresis on contact erosion; and significantly improving detection accuracy.

Description

Technical Field

[0001] This invention relates to the field of electrical equipment condition monitoring technology, and in particular to a method and system for detecting the electrical life of intelligent circuit breakers based on data analysis. Background Technology

[0002] As core control and protection equipment in power systems, the operational status of intelligent circuit breakers directly affects the safety and stability of the power grid. With the increasing intelligence level of the power grid, higher requirements are placed on the condition monitoring of circuit breakers throughout their entire lifecycle. The aging and failure mechanisms of circuit breakers mainly manifest in two dimensions: first, electrical life loss, which refers to the gradual erosion and quality loss of contact materials caused by the thermal effect of the electric arc during fault current interruption; second, mechanical life loss, which refers to the wear, corrosion, and jamming of the operating mechanism after frequent operation or long-term inactivity. These two aging modes are intertwined and jointly determine the remaining service life of the equipment.

[0003] However, in existing monitoring technologies, electrical life and mechanical life are often assessed as two separate physical processes. For example, electrical life assessment typically relies solely on the cumulative Joule integral method to statistically analyze the current-thermal effect, while mechanical life assessment is often based on counting the number of operations or extracting simple characteristic points from the coil current waveform. This fragmented static monitoring approach severely neglects the complex electromechanical bidirectional coupling effects that exist in circuit breakers under actual high-voltage, high-current breaking conditions, leading to a significant disconnect between monitoring results and the actual physical state.

[0004] Specifically, the monitoring blind spots caused by this coupling effect are mainly manifested in two aspects: First, the degradation of mechanical condition significantly accelerates the loss of electrical life. When the operating mechanism reduces the tripping speed due to wear or lubrication failure, the arcing speed at the initial stage of separation between the moving and stationary contacts slows down, resulting in a non-linear extension of the arcing time. At this time, even if the same current is cut off, the actual arc energy and contact erosion will increase sharply, and traditional algorithms, because they ignore the speed variable, often seriously underestimate the contact loss under such conditions. Second, electrical quantities can interfere with the mechanical condition in the reverse direction. In high-current scenarios such as short-circuit fault clearing, the huge electrodynamic force will significantly hinder the movement of the moving contact, causing distortion of the mechanical motion trajectory and a significant extension of the measured action time. Existing technologies have difficulty distinguishing between this pseudo-hysteresis caused by physical repulsion and the real jamming caused by the failure of the mechanism itself, and are prone to misjudging the normal high-current tripping process as a serious mechanical failure, resulting in a high false alarm rate of the monitoring system, which is difficult to meet the needs of precise operation and maintenance of the power grid. Summary of the Invention

[0005] To address the problem of low accuracy in circuit breaker life prediction due to neglecting the bidirectional coupling effect between the electric arc and the mechanism, the inability to eliminate environmental factors, and the interference of high-current electrodynamics on mechanical condition assessment, this invention provides a data analysis-based intelligent circuit breaker electrical life detection method and system.

[0006] In a first aspect, the present invention provides a method for detecting the electrical life of intelligent circuit breakers based on data analysis, employing the following technical solution:

[0007] A data analysis-based method for detecting the electrical life of intelligent circuit breakers includes the following steps:

[0008] Collect the trip coil voltage sequence, trip coil current sequence, main circuit current sequence, and current ambient temperature data during the tripping operation of the circuit breaker;

[0009] The measured action time is extracted based on the trip coil current sequence, and the mechanical health factor is calculated based on the measured action time. , For mechanical health factors, To measure the actual action time, The mean of the voltage sequence of the trip coil is given. This refers to the current ambient temperature data; , , These are the preset model reference parameters, voltage sensitivity coefficient, and temperature sensitivity coefficient, respectively;

[0010] Obtain the peak current of the main circuit current sequence, and calculate the electrodynamic interference factor based on the peak current: , Electrodynamic interference factor, The preset repulsion coefficient of the contact structure. The peak current, Given the rated current of the circuit breaker, the mechanical health factor is differentially corrected using the electrodynamic interference factor to obtain the mechanical wear status index.

[0011] The current integral of the main circuit current sequence is calculated as the basic electrothermal loss. The mechanical degradation acceleration factor is calculated with the wear state index of the mechanism as the independent variable. The product of the basic electrothermal loss and the mechanical degradation acceleration factor is calculated to obtain the single electrical life loss value of this action.

[0012] The cumulative loss value is obtained by accumulating the single electrical life loss value of historical operations. The remaining life of the circuit breaker is predicted based on the cumulative loss value and the wear status index of the mechanism.

[0013] This invention isolates the effects of voltage fluctuations and temperature changes by comparing measured and theoretical values. Secondly, it removes the physical resistance generated by high current from the mechanical condition assessment, preventing the misjudgment of normal physical obstruction as a mechanical failure. Finally, considering that a slower mechanism leads to a longer arc burning time, it compensates for base losses through an acceleration factor. This design accurately reflects the physical process of circuit breaker operation, solving the prediction errors caused by traditional methods that only consider current or speed, or vice versa.

[0014] Preferably, the step of using the electrodynamic interference factor to perform difference correction on the mechanical health factor to obtain the mechanism wear state index includes:

[0015] Calculate the difference between the mechanical health factor and the electrodynamic interference factor. If the difference is less than 1, set the mechanism wear status index to 1; otherwise, use the difference as the mechanism wear status index.

[0016] Preferably, the current integral of the main circuit current sequence is used as the basic electrothermal loss, satisfying the following relationship:

[0017]

[0018] In the formula, Based on basic electrical heat loss, For the duration of arc burning, For the main circuit current sequence in The instantaneous value of a moment.

[0019] Preferably, the mechanical degradation acceleration factor calculated using the wear state index of the mechanism as the independent variable satisfies the following relationship:

[0020]

[0021] In the formula, As an accelerating factor of mechanical degradation, The preset mechanical hysteresis sensitivity coefficient, The wear status index of the mechanism.

[0022] This invention uses an exponential function to describe the mechanical degradation caused by slow discontinuity, thereby effectively correcting the problem of traditional algorithms underestimating values ​​in the later stages of mechanism aging.

[0023] Preferably, the step of predicting the remaining life of the circuit breaker based on the cumulative loss value and the mechanical wear condition index includes:

[0024] If the wear status index of the mechanism is greater than the preset jamming threshold, a mechanism maintenance early warning signal is generated;

[0025] If the cumulative loss value exceeds the preset lifespan termination threshold, a contact replacement warning signal is generated.

[0026] Preferably, the step of extracting the measured action time based on the trip coil current sequence includes:

[0027] The current sequence of the trip coil is denoised using a wavelet transform algorithm.

[0028] The first local maximum point after the current rise process in the denoised sequence is identified and used as the start-up moment of the moving iron core.

[0029] Identify the local minimum point of the current sequence after the start-up moment of the moving iron core, and take it as the contact separation moment;

[0030] The difference between the contact separation time and the starting time of the moving iron core is calculated as the measured action time.

[0031] Secondly, the present invention provides an intelligent circuit breaker electrical life detection system based on data analysis, which adopts the following technical solution:

[0032] The data analysis-based intelligent circuit breaker electrical life detection system includes a processor and a memory. The memory stores computer program instructions, which, when executed by the processor, implement the aforementioned data analysis-based intelligent circuit breaker electrical life detection method.

[0033] By adopting the above technical solution, the above-mentioned data analysis-based intelligent circuit breaker electrical life detection method is generated into a computer program and stored in a memory for loading and execution by a processor. This allows for the creation of a terminal device based on the memory and processor, facilitating its use.

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

[0035] This invention effectively counteracts the interference of environmental factors on the operating speed by constructing an adaptive benchmark model that includes voltage and temperature parameters and calculating a mechanical health factor. Simultaneously, this invention introduces an electrodynamic interference factor to precisely eliminate the physical hindering effect of Hall repulsion on the moving contact's movement under high current conditions. This dual decoupling mechanism ensures that the mechanism's wear status indicators only reflect the physical health of the mechanism itself, effectively avoiding false alarms of jamming caused by harsh environments or fault current surges.

[0036] Furthermore, this invention abandons the traditional static algorithm that relies solely on current integration. By introducing a mechanical degradation acceleration factor with the wear state of the mechanism as the independent variable, this method dynamically corrects the basic electrothermal loss. This improvement accurately measures the amplification effect of slow breaking on contact erosion, effectively solving the technical problem that traditional methods severely underestimate electrical life loss at the end of the circuit breaker's lifespan and pose a risk of missed reporting. Attached Figure Description

[0037] Figure 1 This is a flowchart of the method in the data analysis-based intelligent circuit breaker electrical life detection method provided in the embodiments of the present invention;

[0038] Figure 2 This is a schematic diagram of the electromechanical coupling nonlinear damage model provided in an embodiment of the present invention;

[0039] Figure 3 This is a schematic diagram of the joint determination of the entire life cycle provided in an embodiment of the present invention. Detailed Implementation

[0040] This invention discloses a data analysis-based method for detecting the electrical life of intelligent circuit breakers, referring to... Figure 1 This includes steps S1-S5:

[0041] S1: Collect the trip coil voltage sequence, trip coil current sequence, main circuit current sequence, and current ambient temperature data during the tripping operation of the circuit breaker.

[0042] It should be noted that the circuit breaker's breaking process is typically completed within milliseconds, accompanied by drastic changes in multiple physical fields such as electricity, magnetism, heat, and force. If the sampling frequency is insufficient or the data is not synchronized, key transient features such as the starting of the moving iron core and contact separation will not be captured, leading to the failure of subsequent analysis. Therefore, this invention employs a high-frequency synchronous acquisition strategy to obtain multi-source heterogeneous data.

[0043] Preferably, as an example, the circuit breaker collects the trip coil voltage sequence, trip coil current sequence, main circuit current sequence, and current ambient temperature data during the tripping operation, including:

[0044] First, the system uses a high-precision Hall sensor, voltage divider circuit and temperature sensor system to synchronously collect the voltage signal of the trip coil circuit as the trip coil voltage sequence, the current signal flowing through the trip coil as the trip coil current sequence, the three-phase current of the main circuit as the main circuit current sequence, and the ambient temperature around the circuit breaker as the current ambient temperature data.

[0045] Then, all data are timestamped to ensure strict temporal correspondence, providing a reliable data foundation for subsequent decoupling analysis.

[0046] S2: Extract the measured action time based on the current sequence of the trip coil, calculate the predicted action time using a preset health benchmark model based on the voltage sequence of the trip coil and the current ambient temperature data, and calculate the ratio of the measured action time to the predicted action time to obtain the mechanical health factor.

[0047] It should be noted that in order to achieve accurate decoupling of the two-way coupling effect between the electric arc and the mechanism, it is necessary to first eliminate the interference of external environmental factors on the mechanical state.

[0048] It should be further explained that the operation of a circuit breaker is not only affected by the dual coupling of internal mechanism wear and electrodynamic repulsion, but also significantly constrained by external control voltage and ambient temperature. For example, a decrease in voltage leads to a reduction in coil attraction, and a decrease in low temperature leads to an increase in grease viscosity, both of which result in a prolonged operating time. If the electromechanical coupling relationship is analyzed directly without eliminating environmental interference, it will be impossible to distinguish whether the measured operating lag is due to high current repulsion or simply voltage fluctuations, thus causing subsequent electrodynamic decoupling corrections to fail. Therefore, this invention adopts a strategy of constructing a ratio factor to first eliminate the influence of environmental factors on the operating time, providing clean benchmark data for the subsequent accurate extraction of electromechanical coupling characteristics.

[0049] Preferably, as an example, the measured action time is extracted based on the trip coil current sequence, and the predicted action time is calculated using a preset health benchmark model based on the trip coil voltage sequence and current ambient temperature data. The ratio of the measured action time to the predicted action time is calculated to obtain the mechanical health factor, including:

[0050] First, the denoising process of the trip coil current sequence is performed using the wavelet transform algorithm.

[0051] Subsequently, the first local maximum point of the current sequence of the trip coil is identified and recorded as the starting moment of the moving iron core. At this moment, the moving iron core begins to accelerate under the action of electromagnetic force, overcoming static friction and spring reaction force. The resulting motion back electromotive force causes the current to change from rising to falling.

[0052] Next, identify the local minimum point of the current sequence after the start-up moment of the moving iron core, and record it as the contact separation moment. At this moment, the moving iron core has moved into position or the contacts have separated, the speed of movement drops sharply, the back electromotive force disappears, and the current resumes its exponential upward trend.

[0053] Finally, the difference between the contact separation moment and the starting moment of the moving iron core is calculated as the measured action time.

[0054] Subsequently, the pre-trained health baseline model is invoked, and the theoretically expected predicted action time under a healthy state is calculated using the average voltage sequence of the trip coil and the current ambient temperature data as input.

[0055] The method for constructing the health benchmark model is as follows:

[0056] The fitting relationship for constructing the health benchmark model:

[0057]

[0058] In the formula, For temperature, To control the voltage, For the action time, , , Let represent the model baseline parameters, voltage sensitivity coefficient, and temperature sensitivity coefficient of the health baseline model, respectively, and ln() represent the logarithmic function with the natural constant as the base.

[0059] During the initial low-load operation of the circuit breaker in the early stage of operation, the reference action time, reference control voltage and reference ambient temperature of each operation are recorded.

[0060] The reference operating time, reference control voltage, and reference ambient temperature are input into the health reference model, and the model reference parameters, voltage sensitivity coefficient, and temperature sensitivity coefficient reflecting the individual characteristics of the circuit breaker are solved to obtain the health reference model.

[0061] Finally, the mechanical health factor is calculated using a health benchmark model. The specific calculation method is as follows:

[0062]

[0063] In the formula, For mechanical health factors, To measure the actual action time, The mean of the voltage sequence of the trip coil is given. This is the current ambient temperature data. The predicted action time is calculated using a health baseline model.

[0064] Understandably, the denominator in the relational expression essentially constructs a health baseline time that dynamically adjusts in real time based on the current voltage and temperature. Logical deduction from the relational expression reveals that when the external environment changes, according to physical laws, the measured action time will naturally increase due to a decrease in coil attraction or an increase in grease viscosity; simultaneously, the predictive model in the denominator will calculate a similarly extended theoretical time based on the input current voltage and temperature. Through ratio calculation, the changes in the numerator and denominator caused by environmental factors mathematically cancel each other out, resulting in the final calculated... It no longer fluctuates with voltage and temperature. At this point, the only additional slowdown occurs when the mechanism itself experiences physical wear or jamming. Only then will it be significantly greater than 1.0.

[0065] This intuitively verifies that the algorithm successfully isolates the influence of environmental factors on the action process through dynamic benchmark comparison, providing a pure mechanical state for subsequent analysis.

[0066] S3: Obtain the peak current of the main circuit current sequence, calculate the electrodynamic interference factor based on the peak current, and use the electrodynamic interference factor to perform difference correction on the mechanical health factor to obtain the mechanism wear status index.

[0067] It should be noted that in order to maintain the accuracy of mechanical condition assessment under extreme conditions such as short-circuit fault clearing, it is necessary to eliminate the reverse interference of the main circuit current on mechanical motion.

[0068] It should be further explained that during high-current breaking processes such as short-circuit faults, a significant Lorentz repulsion force is generated between the moving and stationary contacts. This electrodynamic force, proportional to the square of the current, hinders the movement of the moving contact, resulting in a slower breaking speed and a prolonged measured operating time. This physical phenomenon means that the measured mechanical hysteresis during fault breaking is actually caused by the electrodynamic force, rather than by mechanical wear such as jamming or rust. If conventional methods are used for direct evaluation, this current effect would be misjudged as a severe mechanical fault. Therefore, this invention employs an electrodynamic decoupling correction strategy for rectification.

[0069] Preferably, as an example, the peak current of the main circuit current sequence is obtained, an electrodynamic interference factor is calculated based on the peak current, and the mechanical health factor is differentially corrected using the electrodynamic interference factor to obtain a mechanism wear state index, including:

[0070] First, the maximum absolute value in the main circuit current sequence is extracted as the peak current. Using the peak current as the processing object, a quadratic relationship model is applied to it to calculate the electrodynamic interference factor. The specific calculation method for the electrodynamic interference factor is as follows:

[0071]

[0072] In the formula, Electrodynamic interference factor, The contact structure repulsion coefficient is an intrinsic constant related to the contact geometry. Rated current, This is the peak current.

[0073] Subsequently, a subtraction correction is performed to obtain the mechanism wear status index. The specific calculation method for the mechanism wear status index is as follows: ,like If less than 1, then Set to 1.

[0074] It is understandable that in the relational expression This term characterizes the rate of increase in action time caused by electrodynamic impedance. Logical deduction from the relational formula shows that when a short-circuit fault occurs... During a surge, It will then increase significantly according to the square law. At this point, although the measured... The increase is due to the slower movement, but by subtracting the component representing the electrodynamic delay... The system can reconstruct the true wear condition indicators of the mechanism after eliminating the influence of electrodynamics. In addition, setting boundary logic values ​​less than 1 to 1 is to eliminate the effects of computational noise or model overcorrection. That is, the operating speed of the aging mechanism cannot be faster than the baseline speed when the new machine leaves the factory, thus ensuring the authenticity of the evaluation results.

[0075] This intuitively verifies that decoupling correction and boundary constraint methods can effectively eliminate the situation where electrodynamic reverse suppression of mechanical motion can be eliminated, thereby effectively eliminating the hidden danger of inflated mechanical health assessment under high current conditions.

[0076] S4: Calculate the current integral of the main circuit current sequence as the basic electrothermal loss, calculate the mechanical degradation acceleration factor with the mechanism wear state index as the independent variable, and calculate the product of the basic electrothermal loss and the mechanical degradation acceleration factor to obtain the single electrical life loss value of this action.

[0077] It should be noted that in order to achieve an accurate description of the degree of contact erosion of the circuit breaker, the influence of mechanical condition must be considered when calculating electrical losses.

[0078] It should be further explained that contact erosion mainly originates from the high temperature of the electric arc. Under ideal mechanical conditions, the amount of contact erosion exhibits a specific power function relationship with the current magnitude. However, in actual operating conditions, mechanical wear leads to a decrease in the opening speed, thereby nonlinearly prolonging the arcing time, resulting in the actual erosion amount far exceeding the theoretical value. Therefore, this invention first calculates the theoretical erosion amount excluding mechanical influences, i.e., the basic electrothermal loss, and then uses mechanical condition indicators to perform a factor correction.

[0079] Preferably, as an example, the current integral of the main circuit current sequence is calculated as the basic electrothermal loss, the mechanical degradation acceleration factor is calculated using the mechanism wear state index as the independent variable, and the product of the basic electrothermal loss and the mechanical degradation acceleration factor is calculated to obtain the single-cycle electrical life loss value for this action, including:

[0080] First, the 1.8th power integral of the main circuit current sequence is calculated as the basic electrothermal loss. The specific calculation method is as follows:

[0081]

[0082] Then, using the mechanism wear condition index To process the object, an exponential function is used to calculate the mechanical degradation acceleration factor. The specific calculation method is as follows:

[0083]

[0084] In the formula, Based on basic electrical heat loss, For the duration of arc burning, The instantaneous value of the main circuit current sequence at time t; As an accelerating factor of mechanical degradation, This is the mechanical hysteresis sensitivity coefficient. The value is usually between 2 and 5, reflecting the sensitivity of the contact material to the arcing time.

[0085] Finally, Multiply The single-cycle electrical lifetime loss value is obtained.

[0086] It is understandable that in the relational expression This characterizes the nonlinear amplification factor of mechanical property degradation on contact wear. Logical derivation from the formula shows that when... close to When the institution is in a healthy state, the index is 0. close to At this point, the calculated single loss is equal to the basic electrical and thermal loss, which is consistent with the ideal working condition.

[0087] when This indicates that wear and tear on the mechanism is causing a decrease in speed. The loss increases exponentially, and at this point, the calculated single-cycle electrical life loss value is much greater than the basic electrical heat loss.

[0088] This intuitively verifies that the method accurately reproduces the physical phenomenon of a surge in arc energy caused by low-speed disconnection through correction, effectively eliminating the hidden danger of traditional algorithms underestimating electrical life loss during the aging stage of the mechanism.

[0089] Figure 2 This diagram illustrates the electromechanical coupling nonlinear damage model. The horizontal axis represents the wear state index of the mechanism, and the vertical axis represents the mechanical degradation acceleration factor. The gray dashed line represents the traditional method, which assumes that the single-cycle loss remains constant regardless of the mechanism's state. The red solid line represents the model of this invention; as the horizontal axis index increases, the vertical axis factor rises exponentially. The red filled area represents the potential loss region that the traditional method misses compared to the actual physical process. This diagram visually illustrates the physical phenomenon that mechanism wear leads to a slower opening speed, which in turn causes a nonlinear extension of the arcing time. It demonstrates that the exponential correction model introduced in this scheme can effectively compensate for the deficiency of traditional linear algorithms in severely underestimating electrical lifetime loss during the mechanism aging stage.

[0090] S5: Accumulate the single electrical life loss value of historical operations to obtain the cumulative loss value, and predict the remaining life of the circuit breaker based on the cumulative loss value and the mechanism wear status index.

[0091] It should be noted that, in order to provide practically guiding operational decisions, the results of a single analysis need to be transformed into a full lifecycle status assessment.

[0092] It should be further explained that, considering that the failure modes of circuit breakers mainly manifest in two dimensions—electrical and mechanical—the first is electrical failure caused by the complete erosion of the contacts due to arcing, and the second is mechanical failure caused by wear or corrosion causing the mechanism to jam. A single lifespan indicator cannot cover all risks. Therefore, this invention employs a dual-threshold early warning strategy for comprehensive judgment.

[0093] Preferably, as an example, the cumulative loss value is obtained by accumulating the single-cycle electrical life loss values ​​of historical operations. The remaining life of the circuit breaker is then predicted based on the cumulative loss value and the mechanism wear condition index, including:

[0094] First, taking the initial commissioning time of the circuit breaker as the starting point for accumulation, the single electrical life loss value of all disconnection actions that have occurred since that starting point is successively accumulated to obtain the current cumulative loss value.

[0095] The system processes cumulative wear and tear values ​​and mechanical wear indicators using comparative logic to calculate maintenance warning signals. When the cumulative wear exceeds a preset end-of-life threshold, the system issues a contact replacement alarm; when the mechanical wear indicators exceed a preset jamming threshold, the system issues a mechanical overhaul alarm. For example, the jamming threshold is set to 1.5.

[0096] In this way, through the accumulation of all-dimensional states and the analysis of dual criteria, it is possible to achieve comprehensive control over the electrical and mechanical health dimensions of the circuit breaker, ensuring that a timely warning can be issued when any failure mode is approaching, thus preventing accidents from occurring.

[0097] Figure 3 This is a schematic diagram of the joint determination of the entire life cycle. In the diagram, the red solid line represents the actual cumulative loss value after considering electromechanical coupling, the green dashed line represents the ideal cumulative loss value by only accumulating the current integral, the blue solid line represents the real-time monitoring value of the mechanism wear status index, and the dual thresholds are the life end threshold and the jamming threshold, respectively.

[0098] As can be seen from the image, the solid red line is always above the dashed green line, which conforms to the physical logic that the actual loss must be greater than or equal to the ideal loss, proving the rigor of this solution. At the 80% operation, the red line first touches the 100% threshold alarm, while the green line only shows 75%. This proves that this solution can detect the end of the circuit breaker's lifespan earlier and more accurately than traditional methods, effectively avoiding the risk of circuit breaker operation with defects due to misjudgment.

[0099] This invention also discloses a data analysis-based intelligent circuit breaker electrical life detection system, including a processor and a memory. The memory stores computer program instructions, which, when executed by the processor, implement the data analysis-based intelligent circuit breaker electrical life detection method according to this invention.

[0100] The system also includes other components well known to those skilled in the art, such as communication buses and communication interfaces, the settings and functions of which are known in the art and will not be described in detail here.

[0101] In this invention, the aforementioned memory can be any tangible medium containing or storing a program that can be used or combined with an instruction execution system, apparatus, or device. For example, a computer-readable storage medium can be any suitable magnetic or magneto-optical storage medium, such as resistive random access memory (DRAM), dynamic random access memory (DRAM), static random access memory (SRAM), enhanced dynamic random access memory (DRAM), high-bandwidth memory, hybrid memory cube, etc., or any other medium that can be used to store desired information and can be accessed by an application, module, or both. Any such computer storage medium can be part of a device or accessible to or connected to a device.

Claims

1. A method for intelligent circuit breaker electrical life detection based on data analysis, characterized in that, Including the following steps: Collect the trip coil voltage sequence, trip coil current sequence, main circuit current sequence, and current ambient temperature data during the tripping operation of the circuit breaker; extracting the measured operating time based on the sequence of the tripping coil current, and calculating the mechanical health degree factor based on the measured operating time: , is the mechanical health degree factor, is the measured operating time, is the average of the sequence of the tripping coil voltage, is the current environmental temperature data; , , are respectively the preset model reference parameters, the voltage sensitive coefficient and the temperature sensitive coefficient; Obtain the peak current of the main circuit current sequence, and calculate the electrodynamic interference factor based on the peak current: , Electrodynamic interference factor, The preset repulsion coefficient of the contact structure. This is the peak current. Given the rated current of the circuit breaker, the mechanical health factor is differentially corrected using the electrodynamic interference factor to obtain the mechanical wear condition indicators, including: Calculate the difference between the mechanical health factor and the electrodynamic interference factor. If the difference is less than 1, set the mechanism wear status index to 1; otherwise, use the difference as the mechanism wear status index. The current integral of the main circuit current sequence is used as the basic electrothermal loss. The mechanical degradation acceleration factor is calculated with the mechanism wear state index as the independent variable, satisfying the following relationship: In the formula, As an accelerating factor of mechanical degradation, The preset mechanical hysteresis sensitivity coefficient, This is an indicator of the wear and tear condition of the mechanism; The product of the basic electrical heat loss and the mechanical degradation acceleration factor is calculated to obtain the single electrical life loss value for this action. The cumulative loss value is obtained by accumulating the single electrical life loss value of historical operations. The remaining life of the circuit breaker is predicted based on the cumulative loss value and the mechanical wear status index.

2. The method for detecting the electrical life of intelligent circuit breakers based on data analysis according to claim 1, characterized in that, The current integral of the main circuit current sequence is used as the basic electrothermal loss, satisfying the following relationship: In the formula, Based on basic electrical heat loss, For the duration of arc burning, For the main circuit current sequence in The instantaneous value of a moment.

3. The method for detecting the electrical life of intelligent circuit breakers based on data analysis according to claim 1, characterized in that, The prediction of the remaining life of the circuit breaker based on the cumulative loss value and the mechanical wear status index includes: If the wear status index of the mechanism is greater than the preset jamming threshold, a mechanism maintenance early warning signal is generated; If the cumulative loss value exceeds the preset lifespan termination threshold, a contact replacement warning signal is generated.

4. The method for detecting the electrical life of intelligent circuit breakers based on data analysis according to claim 1, characterized in that, The extraction of the measured action time based on the trip coil current sequence includes: The current sequence of the trip coil is denoised using a wavelet transform algorithm. Identify the first local maximum point after the current rise process in the denoised sequence and use it as the start-up moment of the moving iron core. Identify the local minimum point of the current sequence after the start-up moment of the moving iron core, and take it as the contact separation moment; The difference between the contact separation time and the starting time of the moving iron core is calculated as the measured action time.

5. A data analysis-based intelligent circuit breaker electrical life testing system, characterized in that, include: A processor and a memory, the memory storing computer program instructions that, when executed by the processor, implement the data analysis-based intelligent circuit breaker electrical life detection method according to any one of claims 1-4.

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