Molded case circuit breaker life estimation method and molded case circuit breaker

Abstract

The application relates to the technical field of circuit breakers, and provides a molded case circuit breaker service life estimation method and a molded case circuit breaker. The molded case circuit breaker service life estimation method comprises the following steps: obtaining historical working condition data; wherein the historical working condition data comprises operating parameter data and component loss data; determining a molded case circuit breaker residual service life estimation method based on the historical working condition data; wherein the molded case circuit breaker residual service life estimation method is used for analyzing the residual service life of the molded case circuit breaker; and estimating the residual service life of the molded case circuit breaker based on the molded case circuit breaker residual service life estimation method, so as to obtain the estimated residual service life of the molded case circuit breaker. The molded case circuit breaker service life estimation method can solve the technical problem that the conventional life evaluation method in the related art depends on fixed operation time experience values, which may lead to a large deviation between the life evaluation result and the actual life.

Description

Technical Field

[0001] This application relates to the field of circuit breaker technology, and in particular to a method for estimating the lifespan of a molded case circuit breaker and a molded case circuit breaker. Background Technology

[0002] A molded case circuit breaker is a key electrical device that uses a plastic shell as a protective casing and integrates core components such as contacts, arc-extinguishing chambers, and tripping mechanisms. It is mainly used in power distribution systems to provide overload, short-circuit, and undervoltage protection, while also controlling the on / off state of the circuit. It is widely used in various power distribution scenarios such as industrial plants, commercial buildings, and residential buildings. Its operational reliability directly determines the safety and stability level of the power distribution system.

[0003] In actual operation and maintenance scenarios, assessing the remaining service life of molded case circuit breakers is a core requirement for ensuring the operation and maintenance efficiency of power distribution systems and reducing the risk of downtime due to faults. However, traditional life assessment methods often rely on fixed experience values ​​of commissioning time and do not combine actual operating parameters of the equipment (such as contact temperature, operating current, etc.) and loss data of core components (such as contact wear, cumulative overload duration, etc.) to conduct dynamic assessments, resulting in a large deviation between the assessment results and the actual life. Summary of the Invention

[0004] This application provides a method for estimating the lifespan of a molded case circuit breaker and a molded case circuit breaker itself. This method can improve upon the technical problem in related technologies where traditional lifespan assessment methods often rely on fixed empirical values ​​of commissioning duration, which may lead to significant deviations between the lifespan assessment results and the actual lifespan.

[0005] In a first aspect, embodiments of this application provide a method for estimating the lifespan of a molded case circuit breaker, including: Acquire historical operating condition data; wherein, the historical operating condition data includes operating parameter data and component wear data; A method for estimating the remaining service life of a molded case circuit breaker is determined based on the historical operating data; wherein, the method for estimating the remaining service life of a molded case circuit breaker is used to analyze the remaining service life of the molded case circuit breaker. The remaining service life of the molded case circuit breaker is estimated based on the method for estimating the remaining service life of the molded case circuit breaker, and the estimated remaining service life of the molded case circuit breaker is obtained.

[0006] The technical solutions described in this application embodiment have at least the following technical effects: The life prediction method for molded case circuit breakers provided in this application collects historical operating condition datasets covering key operating parameters and core component wear data throughout the entire lifecycle of the molded case circuit breaker. Based on this historical operating condition dataset, it combines data feature mining, life decay analysis, and operating condition adaptability screening to establish a suitable target molded case circuit breaker. This method is used to quantitatively analyze the remaining service life status of the target molded case circuit breaker and predict its remaining service life. Then, the established remaining service life prediction method is applied to the life assessment scenario of the target equipment. Through multi-dimensional parameter calculations of the remaining service life prediction method, the remaining service life of the molded case circuit breaker is dynamically and quantitatively predicted, and finally, the predicted remaining service life result of the molded case circuit breaker is output.

[0007] In a second aspect, embodiments of this application provide a molded case circuit breaker for implementing the molded case circuit breaker life prediction method described in the first aspect, wherein the molded case circuit breaker includes: Installation components; At least one conductive part is disposed on the mounting member, the conductive part having a moving contact and a stationary contact; An operating part, disposed on the mounting member and pulsatorically connected to the conductive part, is used to drive the moving contact closer to or further away from the stationary contact, forming a conductive path when the moving contact contacts the stationary contact; and A control unit, disposed on the mounting component, is used to implement the life prediction method for molded case circuit breakers as described in the first aspect. Attached Figure Description

[0008] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0009] Figure 1 A schematic flowchart illustrating the life estimation method for molded case circuit breakers provided in this application embodiment; Figure 2 This is a schematic diagram of step S200 in the life prediction method for molded case circuit breakers provided in this application embodiment; Figure 3 This is a schematic diagram of step S220 in the life prediction method for molded case circuit breakers provided in this application embodiment; Figure 4 This is a schematic diagram of step S232 in the life estimation method for molded case circuit breakers provided in the embodiments of this application. Figure 5 This is a schematic diagram of the structure of a molded case circuit breaker provided in an embodiment of this application; Figure 6 This is a schematic diagram of the structure of a molded case circuit breaker after removing some mounting parts, as provided in an embodiment of this application.

[0010] The following are the labeling elements in the figure: 100. Molded case circuit breaker; 10. Mounting components; 20. Conductive parts; 30. Operating parts; 40. Control parts. Detailed Implementation

[0011] To make the technical problems, technical solutions, and beneficial effects to be solved by this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and are not intended to limit the scope of this application.

[0012] Unless otherwise defined, 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 application belongs; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application. The terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0013] It should be noted that when a component is referred to as being "fixed to" or "set on" another component, it can be directly on or indirectly on that other component. When a component is referred to as being "connected to" another component, it can be directly connected to or indirectly connected to that other component.

[0014] It should be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0015] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, "multiple" means two or more, unless otherwise explicitly specified.

[0016] In this application, "and / or" is merely a way of describing the relationship between related objects, indicating that three relationships can exist; for example, A and / or B can represent three cases: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0017] It should be noted that in this application, the words "in some embodiments," "exemplarily," and "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described in this application as "in some embodiments," "exemplarily," or "for example" should not be construed as being more preferred or advantageous than other embodiments or design solutions. Specifically, the use of words such as "in some embodiments," "exemplarily," and "for example" is intended to present related concepts in a specific manner, meaning that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of this application. The appearance of the above words in various places in the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment that is mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0018] A molded case circuit breaker is a key electrical device that uses a plastic shell as a protective casing and integrates core components such as contacts, arc-extinguishing chambers, and tripping mechanisms. It is mainly used in power distribution systems to provide overload, short-circuit, and undervoltage protection, while also controlling the on / off state of the circuit. It is widely used in various power distribution scenarios such as industrial plants, commercial buildings, and residential buildings. Its operational reliability directly determines the safety and stability level of the power distribution system.

[0019] In actual operation and maintenance scenarios, assessing the remaining service life of molded case circuit breakers is a core requirement for ensuring the operation and maintenance efficiency of power distribution systems and reducing the risk of downtime due to faults. However, traditional life assessment methods often rely on fixed experience values ​​of commissioning time and do not combine actual operating parameters of the equipment (such as contact temperature, operating current, etc.) and loss data of core components (such as contact wear, cumulative overload duration, etc.) to conduct dynamic assessments, resulting in a large deviation between the assessment results and the actual life.

[0020] Based on this, in order to improve the technical problem that traditional life assessment methods in related technologies often rely on fixed empirical values ​​of commissioning time, which may lead to a large deviation between life assessment results and actual life, the embodiments of this application provide the following solutions.

[0021] Please see Figure 1 This application provides a method for estimating the lifespan of a molded case circuit breaker. The method includes: Acquire historical operating condition data; this includes operating parameter data and component wear data. The remaining service life prediction method for molded case circuit breakers is determined based on historical operating data; the remaining service life prediction method for molded case circuit breakers is used to analyze the remaining service life of molded case circuit breakers. The remaining service life of molded case circuit breakers is estimated based on the method for predicting the remaining service life of molded case circuit breakers.

[0022] As can be seen from the above, the molded case circuit breaker life prediction method provided in this application collects historical operating condition datasets covering key operating parameter data and core component loss data throughout the entire life cycle of the molded case circuit breaker. Based on these historical operating condition datasets, it combines data feature mining, life decay analysis, and operating condition adaptability screening to establish a suitable target molded case circuit breaker. This is used to quantitatively analyze the remaining service life status of the target molded case circuit breaker and predict its remaining service life. Then, the established remaining service life prediction method is applied to the life assessment scenario of the target equipment. Through multi-dimensional parameter calculations of the remaining service life prediction method, the remaining service life of the molded case circuit breaker is dynamically and quantitatively predicted, and finally, the predicted remaining service life result of the molded case circuit breaker is output.

[0023] To better understand the method for estimating the lifespan of molded case circuit breakers provided in this application, the specific implementation process of the method for estimating the lifespan of molded case circuit breakers provided in this application will be described exemplarily below.

[0024] Figure 1 A schematic flowchart of the life prediction method for molded case circuit breakers provided in this application embodiment is shown. The life prediction method for molded case circuit breakers includes: S100, acquire historical operating condition data; the historical operating condition data includes operating parameter data and component wear data.

[0025] It is understandable that the methods for obtaining operating parameter data can include real-time acquisition of data such as operating current and short-circuit current peak values ​​by current transformers or Rogowski coils installed at the conductive path or busbar; acquisition of contact temperature, component temperature rise, and ambient temperature by thermistors, platinum resistance thermometers, or infrared temperature sensors attached to the surfaces of easily heated components such as contacts, arc-extinguishing chambers, and tripping mechanisms installed on the conductive parts; acquisition of operating voltage by built-in voltage sensors or voltage divider resistors; and recording of mechanical characteristic parameters such as the number of opening and closing operations, opening and closing action time, and contact bounce duration by Hall effect sensors or microswitches installed on the operating part. Alternatively, the operating parameters of the molded case circuit breaker can be synchronously acquired through existing automated equipment or monitoring platforms in the power distribution system connected to the intelligent distribution cabinet or molded case circuit breaker, but these methods are not limited to these.

[0026] Obtaining component loss data can be achieved through various methods, including retrieving equipment maintenance records and historical testing data uploaded by manual, periodic maintenance personnel to trace component losses; collecting component loss data from equipment of the same model and operating conditions (same load type, runtime, and environmental conditions) as the target molded case circuit breaker; establishing an operating condition-loss correlation model through big data fitting; and deriving the component loss of the target equipment by substituting the operating parameters of the target molded case circuit breaker. Alternatively, a high-frequency response current sensor can be connected in series in the conductive circuit. During the opening and closing of the circuit breaker, the contact bounce causes a sudden "on-off-on" current change. The duration of this current change (from current interruption to re-conduction) determines the contact bounce time. The operating current can be monitored in real time using a current sensor, and a timing module is triggered to accumulate overload time when the current exceeds the rated current threshold. These methods are not limited to these approaches. Collecting historical operating condition datasets covering key operating parameters and core component loss data throughout the entire lifecycle of the molded case circuit breaker provides a basis for subsequent steps.

[0027] S200, a method for estimating the remaining service life of molded case circuit breakers based on historical operating data; wherein, the method for estimating the remaining service life of molded case circuit breakers is used to analyze the remaining service life of molded case circuit breakers.

[0028] It is understandable that the method for determining the remaining service life of molded case circuit breakers based on historical operating data can be as follows: First, extract operating parameter data and component wear data within a preset time range from the current moment from the historical operating data of the entire life cycle as the prediction data. Then, collect the end-of-life wear data of similar equipment and calculate the theoretical wear and average service life of the components as a benchmark reference. Next, calculate the remaining service life attenuation coefficient corresponding to various component wear data by dividing the actual component wear by the corresponding theoretical component wear. Finally, select the earliest and latest attenuation coefficients of the same type of wear data within the prediction period. The difference is calculated to obtain the life change amount reflecting the recent life decay rate and trend. Finally, the decision is based on the comparison between the life change amount and the preset change amount threshold. If all life change amounts are less than the corresponding threshold, the prediction method based on the commissioning time is selected (calculated by subtracting the current commissioning time from the average service life). If there is at least one type of life change amount greater than the corresponding threshold, the prediction method based on the life change amount is selected (subdividing the recent operating condition unit, calculating the unit loss and change amount and deriving the weighted sum). It can also be to send historical operating condition data to the user and then receive the data transmitted by the user, etc., but it is not limited to this. Based on the historical operating data (including operating parameter data and core component loss data) of the target molded case circuit breaker throughout its entire life cycle, combined with data feature mining, component loss analysis, and life decay law analysis, a suitable molded case circuit breaker is selected. This method combines the actual operating status of the molded case circuit breaker with the cumulative characteristics of component loss to accurately quantify and assess the remaining service life of the molded case circuit breaker. It dynamically reflects the life decay trend of the molded case circuit breaker and improves the limitation of traditional methods that rely on fixed commissioning time experience values, thereby improving the fit between the life assessment results and the actual operating conditions of the molded case circuit breaker.

[0029] In one possible implementation, please refer to Figure 2 Component wear data includes at least one of contact wear, cumulative overload duration, and contact bounce time. S200, a method for estimating the remaining service life of a molded case circuit breaker based on historical operating data includes: S210, the historical operating condition data within a preset time range from the current time in the historical operating condition data is confirmed as the estimated data.

[0030] It is understandable that the preset time range can be 3 months, half a year, etc., but is not limited to this. Relevant data within the preset time range from the current moment are selected from the historical operating data of the entire life cycle of the molded case circuit breaker, and identified as the core data (i.e., the estimated data) for the prediction of the remaining service life. This data can focus on the recent operating status of the equipment and the wear characteristics of components, providing timely and targeted basic data support for the subsequent quantification of life decay trends and the decision-making of prediction methods.

[0031] For example, assuming the preset time range is 3 months and the current time is September 1, the estimated data includes all historical operating data from June 1 to September 1.

[0032] S220, based on component loss data within the estimated data, at least one lifetime change is obtained; wherein, the lifetime change reflects the rate and trend of lifetime decay of a certain component of a molded case circuit breaker corresponding to a certain type of component loss data.

[0033] It is understandable that obtaining at least one lifespan change based on component loss data within the estimated data could involve first acquiring the near-term loss data of components from equipment of the same type as the target molded case circuit breaker, calculating the theoretical loss of the corresponding component using the average, then, for each type of component loss data in the estimated data, dividing the actual component loss by the corresponding theoretical loss to obtain a specific remaining lifespan decay coefficient (representing the correlation between the current lifespan consumption and the remaining lifespan) for each type of loss data (characterizing the correlation between the current lifespan consumption and the remaining lifespan). Next, the estimated data is traversed in chronological order, and the earliest first remaining lifespan decay coefficient and the latest second remaining lifespan decay coefficient corresponding to the same type of component loss data are selected. Finally, the difference between the second remaining lifespan decay coefficient and the first remaining lifespan decay coefficient is calculated to obtain the lifespan change corresponding one-to-one with that type of component loss data. Alternatively, the estimated component loss data could be sent to the user and then the user's transmitted data could be received, but this is not limited to these methods. Based on the analysis of various component loss data (such as contact wear, cumulative overload duration, contact bounce time, etc.) recorded in the predicted data, at least one life change quantity is obtained through time series feature extraction and loss quantification derivation. This can accurately characterize the life decay rate and decay trend of the core components of the molded case circuit breaker associated with the life change quantity in the recent operation stage, and provide a quantitative basis for the adaptation decision of subsequent prediction methods.

[0034] In one possible implementation, please refer to Figure 3 S220, based on component loss data within the estimated data, obtain at least one lifetime change, including: S221, at least one remaining life attenuation coefficient is obtained based on the component loss data within the estimated data; wherein, the remaining life attenuation coefficient corresponds to the component loss data within a preset time range, and the remaining life attenuation coefficient reflects the correlation between the life consumption status of the molded case circuit breaker since its commissioning and the remaining life.

[0035] It is understandable that obtaining at least one remaining life attenuation coefficient based on component loss data within the estimated data could involve first collecting component loss data (i.e., end-of-life loss data) of equipment of the same type as the target molded case circuit breaker at the end of its life; summing all end-of-life loss data corresponding to the same type of component loss data and taking the average to obtain the theoretical loss amount of the component corresponding to that type of component loss data (as a benchmark threshold for life attenuation); then, for each type of component loss data in the estimated data, dividing its actual collected value by the corresponding theoretical loss amount; and finally, obtaining the calculated result as the remaining life attenuation coefficient corresponding one-to-one with that type of component loss data. Alternatively, it could involve sending the component loss data within the estimated data to the user and receiving the data transmitted by the user, but is not limited to these methods. Obtaining at least one remaining life attenuation coefficient based on component loss data within the estimated data can provide parameter support for subsequent analysis of life attenuation rate and trend.

[0036] In one possible implementation, please refer to Figure 3 S221, Based on component loss data within the estimated data, at least one remaining lifetime degradation coefficient is obtained, including: S2211, Obtain the terminal loss data corresponding to the component loss data of the same type of molded case circuit breaker; wherein, the terminal loss data is the component loss data at the end of the service life of the molded case circuit breaker.

[0037] It is understandable that obtaining the end-of-life loss data corresponding to the component loss data of molded case circuit breakers of the same type as the target molded case circuit breaker can be done by retrieving life test data and after-sales scrapping equipment traceability data of the same model and specification of molded case circuit breakers from the database, or by collecting scrapped equipment of the same type that has naturally reached the end of its service life under the same operating conditions, and manually measuring the loss limit value of the core components after disassembly, but is not limited to these methods. The component loss data corresponding to the end-of-life state of molded case circuit breakers of the same model and specification as the target molded case circuit breaker is collected and determined as the end-of-life loss data (end-of-life loss data refers to the cumulative loss data of various core components recorded when the same type of molded case circuit breaker is terminated from service due to component loss reaching the limit threshold (such as contact wear to the point of non-conductivity, arc-extinguishing chamber failure, etc.), and used as the benchmark reference data for subsequent quantification of the target equipment's lifespan consumption status.

[0038] S2212, add up the terminal loss data of the corresponding component loss data and calculate the average value to obtain the theoretical loss of the component corresponding to the component loss data.

[0039] It is understandable that the collected data on the terminal loss of similar molded case circuit breakers are classified and collected according to the type of component loss data. All terminal loss data of the same type that correspond one-to-one with the loss data of various components of the target equipment (such as contact wear, cumulative overload duration, etc.) are accumulated and calculated using the arithmetic mean method to obtain the mean result. Finally, the theoretical loss of the components that accurately corresponds to the loss data of various components is generated. This value serves as the benchmark threshold for quantifying the life consumption status of the target equipment and provides a standardized reference for the subsequent derivation of the remaining life attenuation coefficient.

[0040] For example, assuming the core component loss data of a molded case circuit breaker is contact wear, and the terminal loss data (i.e., the cumulative contact wear at the end of the life of each device) of 6 molded case circuit breakers of the same model, under the same operating conditions, and at the end of their natural lifespan are collected through multiple channels, the specific data are as follows: 1.0mm, 1.1mm, 0.9mm, 1.2mm, 1.0mm, 0.8mm. Then the sum of the 6 sets of terminal loss data is = 1.0mm + 1.1mm + 0.9mm + 1.2mm + 1.0mm + 0.8mm = 6.0mm. Dividing the sum of the 6 sets of terminal loss data by the number of data samples (6 units), we get the theoretical component loss = 6.0mm / 6 = 1.0mm.

[0041] S2213, the value obtained by dividing the component loss data by the theoretical loss amount of the corresponding component of the same type is confirmed as the remaining life decay coefficient.

[0042] It is understandable that the actual component loss data of the target molded case circuit breaker (such as current contact wear, cumulative overload duration, etc.) is divided with the theoretical loss of the corresponding component of the same type. The resulting quantitative result is determined as the remaining life attenuation coefficient. The remaining life attenuation coefficient characterizes the cumulative life consumption of the equipment since it has been put into operation through the ratio of actual loss to theoretical loss threshold, providing a core quantitative basis for subsequent life attenuation trend analysis.

[0043] For example, assuming the current actual component wear data (contact wear) of the molded case circuit breaker is 0.7mm (obtained by actual measurement using laser ranging or received from maintenance personnel after measurement), and the theoretical wear of the same type of component is 1.0mm, then the remaining life attenuation coefficient = 0.7mm / 1.0mm = 0.7.

[0044] S222, traverse the component wear data within a preset time range in chronological order. For the same component wear data, identify the earliest remaining lifetime decay coefficient within the preset time range as the first remaining lifetime decay coefficient and the latest remaining lifetime decay coefficient as the second remaining lifetime decay coefficient. The first remaining lifetime decay coefficient and the second remaining lifetime decay coefficient correspond to the same component wear data.

[0045] It is understandable that by traversing the loss data of various components within a preset time range in chronological order, and for each type of component loss data (such as the contact wear data sequence of the same device), the earliest remaining life decay coefficient within the preset time range is selected and determined as the first remaining life decay coefficient. At the same time, the latest remaining life decay coefficient within the range is extracted and determined as the second remaining life decay coefficient. (The first and second remaining life decay coefficients corresponding to the same type of component loss data are quantitative indicators of the same dimension. The only difference between the two is due to different time points. The first and second remaining life decay coefficients are used together to characterize the life decay change characteristics of this type of component loss within the preset time period.) This can provide a basis for subsequent steps.

[0046] S223, the value obtained by subtracting the first remaining life decay coefficient from the second remaining life decay coefficient corresponding to the same component wear data is confirmed as the life change.

[0047] It is understandable that, for the first remaining life attenuation coefficient and the second remaining life attenuation coefficient corresponding to the loss data of the same type of component, the difference is calculated by subtracting the first remaining life attenuation coefficient from the second remaining life attenuation coefficient. The resulting quantitative result is determined as the life change. The life change directly represents the rate of change of the life attenuation of the corresponding component within a preset time range (positive life change is accelerated attenuation, and zero life change is stable attenuation), reflecting the dynamic trend of recent life consumption, and providing a quantitative decision basis for the selection of subsequent remaining service life prediction methods.

[0048] For example, assuming the preset time range is the most recent year (October 2024 - October 2025), and the data type of the same component wear is the remaining life decay coefficient corresponding to the contact wear amount, the first remaining life decay coefficient (earliest time within the preset time, i.e. October 2023) is 0.5, and the second remaining life decay coefficient (latest time within the preset time, i.e. October 2025) is 0.7, then the life change amount = 0.7 - 0.5 = 0.2.

[0049] S230, a method for predicting the remaining service life of molded case circuit breakers based on changes in service life.

[0050] It is understandable that the method for determining the remaining service life of a molded case circuit breaker based on its lifespan variation can be as follows: First, preset thresholds for lifespan variation corresponding to the loss data of various components (the thresholds are determined based on historical attenuation data of similar equipment, engineering experience, or standard specifications, and are used to determine the critical state of stable and accelerated lifespan degradation). Then, the lifespan variation corresponding to the loss data of each component is compared with the corresponding preset thresholds. Finally, the estimation method is selected based on the comparison results: if the lifespan variation of all categories is less than the corresponding preset threshold, it indicates that the recent equipment lifespan degradation rate is stable and there is no significant accelerated loss condition. In this case, the method based on the commissioning time is selected. The estimation method (based on the average service life of similar equipment, calculating the remaining service life by subtracting the current commissioning time from the average service life); if at least one type of lifespan change exceeds the corresponding preset threshold, it indicates an abnormal operating condition that exacerbates component wear and tear, and the lifespan decay is accelerating. In this case, an estimation method based on lifespan change can be selected (subdividing the operating conditions within the preset time period into units, calculating the loss contribution of each unit, deriving the remaining lifespan of various components based on the lifespan change, and then weighted summing according to component weights to obtain the total remaining service life of the equipment). Alternatively, the lifespan change can be sent to the user and then the user's transmitted data can be received, but this is not limited to these methods. The method for determining the remaining service life of molded case circuit breakers based on lifespan change can achieve accurate matching between the estimation method and the actual lifespan decay trend of the molded case circuit breaker, ensuring the scientific validity and reliability of the remaining lifespan assessment results.

[0051] In one possible implementation, please refer to Figure 2 S230, A method for predicting the remaining service life of molded case circuit breakers based on changes in service life, including: S231, if the change in lifespan is less than the corresponding preset change threshold, then the remaining service life estimation method based on the commissioning time will be determined as the remaining service life estimation method for molded case circuit breakers.

[0052] It is understandable that the preset change threshold can be set by using historical data from a large number of molded case circuit breakers of the same model, under the same operating conditions, and with stable operation, and determining the threshold through statistical analysis to match the actual attenuation pattern of the equipment. Alternatively, it can be determined by the user referring to engineering experience in power operation and maintenance and electrical equipment assessment, and then adjusting it according to the specific operating conditions of the target equipment (such as load rate, ambient temperature, and opening and closing frequency), but it is not limited to these methods. If the life change corresponding to the loss data of various components is less than its preset corresponding change threshold, it indicates that the recent life attenuation rate of the target molded case circuit breaker is stable, and there is no significant accelerated loss phenomenon caused by abnormal operating conditions. In this case, determining the remaining service life prediction method based on the commissioning time as the remaining service life prediction method for this equipment can efficiently derive the remaining service life of the equipment and adapt to the rapid life assessment under normal and stable operating conditions.

[0053] For example, suppose we collect the change in contact wear life of 80 molded case circuit breakers of the same model under normal operating conditions over the past year, with the data ranging from 0.03mm to 0.11mm. The calculated mean is 0.07 and the standard deviation is 0.02. Then the preset change threshold corresponding to the change in contact wear life can be 0.07 + 0.02 = 0.09.

[0054] In one possible implementation, please refer to Figure 3 In S231, the method for estimating the remaining service life based on the commissioning duration includes: S2311, obtain the terminal life of a molded case circuit breaker of the same type as the molded case circuit breaker; wherein, the terminal life is the length of time the molded case circuit breaker has been in operation at the end of its life.

[0055] It is understandable that obtaining the near-term lifespan of molded case circuit breakers of the same type as the target molded case circuit breaker can be done by directly extracting the cumulative duration from the commissioning date to the commissioning date based on the commissioning date, scrapping date, and operating condition information of scrapped equipment of the same type recorded in the after-sales system (excluding data of equipment that did not end its natural lifespan, such as equipment scrapped due to accidental failure), or by receiving data transmitted by maintenance personnel, but is not limited to these methods. Collecting near-term lifespan data (near-term lifespan refers to the cumulative operating time from commissioning to scrapping when a molded case circuit breaker of the same type terminates its service due to the natural end of its lifespan (such as core component wear reaching the limit threshold or performance degradation to the point of not meeting operational requirements) serves as the core foundational data for subsequently calculating the average service life of similar equipment, providing benchmark support for methods of estimating remaining lifespan based on commissioning duration.

[0056] S2312, the average service life is obtained by adding up the individual end-of-life periods and then averaging them.

[0057] It is understandable that by collecting the effective end-of-life data (i.e., the cumulative operating time at the end of the natural life) of molded case circuit breakers of the same type and under the same operating conditions after screening, and then performing an accumulation operation on all the effective end-of-life data, and then calculating the mean result by the arithmetic mean method, the average service life of the same type of molded case circuit breakers can be obtained. The average service life can be used as the benchmark parameter for the remaining service life prediction method based on the operating time, and provide a standardized reference for the subsequent rapid calculation of the remaining service life of the target equipment.

[0058] For example, suppose we collect data on 8 molded case circuit breakers of the same model, operating conditions, and natural lifespan as the target molded case circuit breaker, with the following end-of-life (cumulative operating time at the end of life) data (in years): 12.5, 13.2, 14.0, 13.8, 12.9, 13.5, 14.2, 13.1. Then the sum of the effective end-of-life data = 12.5 + 13.2 + 14.0 + 13.8 + 12.9 + 13.5 + 14.2 + 13.1 = 107.2 years, and the average service life = 107.2 years / 8 = 13.4 years.

[0059] S2313, the estimated remaining service life is obtained by subtracting the commissioning time from the average service life.

[0060] It is understandable that the calculation logic of subtracting the actual cumulative commissioning time from the average service life yields the estimated remaining service life based on the commissioning time. This is applicable to working conditions where the life changes of various equipment components are all less than the corresponding preset thresholds and the life decay rate is stable. It can quickly output remaining life assessment results with engineering reference value, providing a simple and efficient decision-making basis for equipment operation and maintenance scheduling.

[0061] For example, assuming an average service life of 13.4 years and an operational duration of 8.4 years, the estimated remaining service life is 13.4 - 8.4 = 5 years.

[0062] S232, if there is a life change that is greater than the corresponding preset change threshold, then the remaining service life prediction method based on the life change is determined as the remaining service life prediction method for molded case circuit breakers.

[0063] It is understandable that if, among the lifespan changes corresponding to various component loss data, at least one type of lifespan change exceeds its corresponding preset change threshold, it indicates that the target molded case circuit breaker has recently been affected by abnormal operating conditions (such as frequent overload, high-frequency opening and closing, extreme environmental corrosion, etc.), resulting in significant accelerated wear and tear, and the lifespan decay rate has deviated from the stable operating range. In this case, the remaining service life prediction method based on lifespan changes is determined as the remaining service life prediction method for this equipment. By quantifying the contribution of different accelerated wear conditions to the wear of various components, subdividing the operating condition units within a preset time period, and combining the lifespan changes to derive the remaining lifespan of various core components, and then weighting and summing according to the importance weight of the components, the total remaining service life of the equipment can be calculated in a refined manner, adapting to the needs of accurate lifespan assessment under unstable operating conditions.

[0064] In one possible implementation, please refer to Figure 4 In S232, the method for predicting remaining service life based on changes in service life includes: S2321, divide the historical operating condition data close to the current time into at least two unit operating condition data according to the duration consistent with the preset duration range; wherein, the unit operating condition data is close to the current time in terms of time sequence.

[0065] It is understandable that historical operating condition datasets that are close to the current time in terms of time series are divided into at least two consecutive unit operating condition data segments by using a time span that matches the preset time range as the dividing benchmark. All the unit operating condition data segments obtained by the division maintain the core characteristics that are close to the current time in terms of time series. This can ensure that each unit data can accurately reflect the dynamic change pattern of recent operating conditions and provide highly timely time series data support for subsequent loss contribution analysis.

[0066] For example, assuming the current time is October 31, 2024, and the preset time range is 6 months, it is necessary to divide the operating condition data into two units. One unit of operating condition data includes historical operating condition data from May 1, 2024 to October 31, 2024, and the other unit of operating condition data includes historical operating condition data from November 1, 2023 to April 30, 2024.

[0067] In one possible implementation, in step S2321, the number of unit condition data points can be determined based on the commissioning duration and a preset duration range. For example, the integer obtained by rounding down the value of the commissioning duration divided by the preset duration range can be used as the number of unit condition data points. For instance, assuming the commissioning duration is 25 months and the preset duration range is 6 months, 25 / 6 = 4.16. Rounding down 4.16 gives 4, so the number of unit condition data points is 4.

[0068] In one possible implementation, in step S2321, the preset duration range can be determined by dividing the commissioning duration by 2. For example, assuming the commissioning duration is 1 year, the preset duration range = 1 / 2 = 0.5 years (6 months). This allows the preset duration range to dynamically match the characteristics of the equipment operation stage, ensuring that the subsequent selected estimated data covers sufficient time-series dimensions.

[0069] S2322, calculate the unit loss amount and theoretical loss amount of each type of component loss data in each unit operating condition data respectively; where the unit loss amount is the cumulative value of the same component loss data in the same unit operating condition data.

[0070] It is understandable that, for each set of unit operating condition data corresponding to the time series interval, quantitative calculations are carried out one by one according to the type of core component loss data (such as contact wear, cumulative overload duration, etc.). The unit loss amount and the theoretical loss amount of each type of component are calculated separately. The unit loss amount refers to the cumulative loss quantification value of the same type of component loss data in the corresponding unit operating condition time series interval (such as the cumulative contact wear amount and cumulative overload duration in a certain unit operating condition within 6 months). It is obtained by time series accumulation of the loss data collected in real time within the unit. The theoretical loss amount of the component adopts the benchmark threshold derived from the average of the terminal loss data of the same type of equipment mentioned above, to ensure the consistency of the calculation logic and the correlation of data, and to lay the core data foundation for the accurate calculation of the subsequent unit loss contribution.

[0071] S2323: Subtract the unit loss amount corresponding to the loss data of the same component in two adjacent unit operating condition data and take the absolute value to obtain the unit change amount.

[0072] It is understandable that, for two consecutive sets of unit operating condition data in time series, the unit loss amount corresponding to the loss data of the same type of component is extracted, the difference calculation is performed on the two sets of unit loss amounts, and the absolute value of the result is taken to finally determine the unit change amount of the loss data of that type of component between adjacent unit operating conditions. The unit change amount is used to accurately characterize the fluctuation range of the component loss rate in adjacent time periods. By comparing the difference in change amount between different units, the key time series interval of loss acceleration can be intuitively located, providing a core quantitative basis for the subsequent weight allocation of unit loss contribution, and ensuring that the remaining life prediction method based on life change amount has time series traceability and accuracy.

[0073] For example, suppose there are two adjacent unit condition data. The contact wear unit loss of unit condition data 1 is 0.5mm, and the contact wear unit loss of unit condition data 2 is 0.7mm. Unit condition data 1 is the preceding time period, and unit condition data 2 is the following time period. Then the unit change (contact wear) = |0.7-0.5| = 0.2mm.

[0074] S2324 estimates the remaining service life based on unit loss, theoretical component loss, and unit variation.

[0075] It is understandable that the estimated remaining service life based on unit loss, theoretical component loss, and unit variation can be obtained by first collecting the cumulative unit loss of each core component under continuous unit operating conditions, the theoretical component loss at the end of service life threshold, and the loss fluctuation unit variation between adjacent units and completing data verification. Then, for each type of component, the remaining allowable loss is calculated by summing the total unit loss, calculating the remaining allowable loss (theoretical component loss minus total unit loss), and deriving the current accelerated loss rate based on the most recent unit variation and unit duration, thereby obtaining the remaining service life of a single component. Finally, the remaining service life of a single component is weighted and summed, and finally, an accurate estimated remaining service life adapted to accelerated loss operating conditions is output. Alternatively, the unit loss, theoretical component loss, and unit variation can be sent to the user and the user's transmitted data can be received, but this is not limited to these methods. Using the time-series cumulative unit loss under each unit operating condition, the theoretical loss benchmark threshold of the component, and the loss fluctuation unit change between adjacent units as core input parameters, combined with the component loss mechanism and the dynamic attenuation characteristics of the operating condition, the estimated remaining service life of the molded case circuit breaker can be obtained through multi-dimensional quantitative derivation. This ensures that the estimated remaining service life of the current accelerated loss operating condition can be guaranteed, and the deep integration of loss data, benchmark threshold and dynamic trend is achieved, ensuring that the evaluation results are highly consistent with the actual operating status of the equipment.

[0076] In one possible implementation, please refer to Figure 4 S2324, based on unit loss, theoretical component loss, and unit variation, estimates the remaining service life, including: S23241, for each type of component loss data, subtract the sum of the corresponding unit loss amounts from the theoretical loss amount of the component corresponding to the component loss data, and then divide by the unit change amount corresponding to the component loss data to obtain the remaining life of the component corresponding to the component loss data.

[0077] It is understandable that, for each type of core component loss data (such as contact wear, cumulative overload duration, etc.), the theoretical loss amount (life-end critical benchmark) of the component matched with that type of component is first extracted, and the sum of the unit loss amounts corresponding to that type of component under all unit operating conditions is subtracted (i.e., the sum of the unit loss amounts of the loss data of that type of component under all split unit operating conditions). This yields the remaining allowable loss amount of that type of component. Then, the remaining allowable loss amount is divided by the unit change amount corresponding to the loss data of that type of component (the quantitative value of the loss fluctuation amplitude between adjacent units). Through this quantitative calculation logic, the remaining life of a single component corresponding to the loss data of that type of component is derived, providing a reliable single component life assessment benchmark for the weighted aggregation calculation of the overall remaining service life of the equipment, and adapting to the need for refined prediction of single component life under accelerated wear conditions.

[0078] For example, assuming the theoretical wear of the component corresponding to the contact wear is 1mm, the component wear data corresponding to the contact wear is 0.2mm in unit operating condition data 1 and 0.3mm in unit operating condition data 2, and the unit change is 0.1, then the sum of the cumulative wear of the entire unit = 0.2 + 0.3 = 0.5mm, and the remaining life of the component = (1 - 0.5) / 0.1 = 5 years; if the remaining life of the component is negative, it means that the cumulative wear of the contact in the entire unit has exceeded the theoretical wear of the component. Combined with the accelerated wear trend reflected by the unit change, it indicates that the contact has actually entered the end of its life stage, and it is necessary to prioritize the maintenance or replacement of the contact component.

[0079] S23242, the estimated remaining service life is obtained by multiplying the remaining life of each component by its corresponding life weight and summing the results; wherein, the sum of the life weights of each component is 1.

[0080] It is understandable that component lifespan weighting quantifies the impact of various components on the overall service life of the molded case circuit breaker (the higher the weight, the greater the impact of the component's loss on the molded case circuit breaker). The method for determining the component lifespan weight for each component can be as follows: the user can use historical fault / scrap data from the maintenance unit or manufacturer to calculate the percentage of times each component failure leads to the overall scrapping of the equipment, and use this as the component's weight (the higher the failure frequency, the greater the impact on the overall lifespan, and the higher the weight). Alternatively, it can be based on the FMEA analysis framework, quantifying the severity of component failure consequences (S), the probability of failure (O), and the difficulty of failure detection (D), and calculating the risk priority number (RPN=S). O D), and then normalize the risk priority number to obtain the weight, etc., but not limited to this. Perform a weighted operation on the remaining life of each type of component with the assigned component life weight, and then accumulate and aggregate all weighted operation results to finally derive the estimated remaining service life of the molded case circuit breaker. By highlighting the dominant role of key components such as contacts and operating mechanisms in the overall life of the equipment through weighted aggregation logic, the limitations of single component life assessment are avoided, making the final prediction result more in line with the actual life decay law of the equipment, and providing a scientific and reliable quantitative basis for operation and maintenance decisions.

[0081] In one possible implementation, the operating parameter data includes at least one of contact temperature, operating current, number of opening and closing cycles, operating voltage, and ambient temperature. Before determining the method for estimating the remaining service life of the molded case circuit breaker based on historical operating data in S200, the following is also included: The system monitors operational parameter data in real time. If any operational parameter data does not meet the corresponding preset operational conditions, an alarm message is generated and sent. The alarm message is used to warn the user.

[0082] It is understandable that real-time acquisition and dynamic monitoring of operating parameters such as current, voltage, ambient temperature, and opening and closing frequency of molded case circuit breakers are required. When any operating parameter data deviates from its corresponding preset operating threshold or does not conform to preset operating rules (such as overload duration exceeding the upper limit, abnormal temperature change rate, etc.), an alarm mechanism is automatically triggered. The alarm is then sent to relevant maintenance personnel or user terminals in real time through preset communication channels (such as local audible and visual alarm modules on the equipment, push notifications from the operation and maintenance management cloud platform, and instant notifications via SMS / APP on designated terminals). This provides timely warnings to users of the risk of abnormal equipment operation, prompting them to take targeted troubleshooting, maintenance, or emergency response measures to prevent the abnormal operating conditions from continuing to worsen, leading to accelerated equipment lifespan degradation, damage to core components, or power distribution system failures and shutdowns.

[0083] S300, based on the remaining service life prediction method of molded case circuit breakers, the remaining service life of molded case circuit breakers is predicted to obtain the predicted remaining service life of the molded case circuit breakers.

[0084] It is understandable that the constructed dual-mode prediction method for the remaining service life of molded case circuit breakers (including the difference in commissioning time under stable attenuation conditions and the unit loss weighting method under accelerated loss conditions) is used to systematically and quantitatively predict the loss data of the core components of the target molded case circuit breaker, historical time-series operating condition data, and preset benchmark parameters. Finally, a reliable estimated remaining service life of the molded case circuit breaker is output, providing a quantitative basis for the operation and maintenance judgment of the equipment throughout its entire life cycle.

[0085] Please see Figure 5 and Figure 6 This application also provides a molded case circuit breaker 100, which includes a mounting component 10, at least one conductive part 20, an operating part 30, and a control part 40.

[0086] The conductive part 20 is disposed on the mounting member 10, and the conductive part 20 has a moving contact and a stationary contact.

[0087] The operating part 30 is disposed on the mounting part 10 and is connected to the conductive part 20 in a transmission manner. The operating part 30 is used to drive the moving contact to approach or move away from the stationary contact. When the moving contact and the stationary contact come into contact, a conductive path is formed.

[0088] The control unit 40 is disposed on the mounting component 10 and is used to implement the life prediction method for molded case circuit breakers described in any of the above embodiments.

[0089] It is understood that the mounting component 10 provides a stable mounting carrier and precise positioning reference for all functional components, ensuring the reliability of the coordinated operation of each component. For example, the mounting component 10 can be made of high-strength flame-retardant plastic, aluminum alloy, etc., but is not limited to these.

[0090] The conductive part 20 is the core of realizing current transmission and switching. The circuit is turned on and off by the contact and separation of the moving and stationary contacts. For example, the conductive part 20 may include a moving contact and a stationary contact. Both the moving contact and the stationary contact are made of conductive material. The moving contact is rotatably disposed on the mounting member 10, has a moving contact point, and is connected to the operating part 30 for transmission (the operating part 30 is used to drive the moving contact to rotate so that the moving contact point moves closer to or away from the stationary contact point); the stationary contact is disposed on the mounting member 10 and has a stationary contact point.

[0091] The operating unit 30 is responsible for driving the moving contact of the conductive part 20 to realize the active closing and opening of the circuit. For example, the operating unit 30 can be a handle drive mechanism, an electric drive mechanism, or a dual-mode hybrid drive mechanism of manual (operating handle) and electric (optionally equipped micro motor), but is not limited to these.

[0092] The control unit 40 may include an RS485 communication interface or a wireless communication module (such as Bluetooth), which can receive historical operating condition data transmitted by the power distribution operation and maintenance system or various types of sensors, and execute the molded case circuit breaker life prediction method described in any of the above embodiments, including data such as operating current, voltage, number of switching operations, switching duration, ambient temperature, and contact temperature.

[0093] The molded case circuit breaker 100 provided in this application embodiment has a control unit 40 that may include at least one processor, at least one memory, and a computer program stored in at least one memory and executable on at least one processor. When the processor executes the computer program, it causes the molded case circuit breaker 100 to implement the steps in any of the above-described molded case circuit breaker life prediction method embodiments.

[0094] For example, a computer program can be divided into one or more modules / units, one or more of which are stored in memory and executed by a processor to complete this application. One or more modules / units can be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in the control unit.

[0095] The control unit 40 may be a PLC control module (programmable logic controller), an MCU control board (microcontroller unit), or other computing devices, but is not limited to these. The control unit may include, but is not limited to, a processor and memory. Those skilled in the art will understand that the above embodiments are merely examples of the control unit and do not constitute a limitation on the control unit. It may include more or fewer components, or combine certain components, or different components, such as input / output devices, network access devices, buses, etc.

[0096] The processor can be a Central Processing Unit (CPU), but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor.

[0097] In some embodiments, the memory may be an internal storage unit of the control unit, such as the hard disk or RAM of the control unit. In other embodiments, the memory may be an external storage device of the control unit, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the control unit. Furthermore, the memory may include both internal storage units and external storage devices of the control unit. The memory is used to store the operating system, applications, bootloader, data, and other programs, such as program code for computer programs. The memory can also be used to temporarily store data that has been output or will be output.

[0098] In one possible implementation, the execution entity of the molded case circuit breaker life prediction method can be a computing device (desktop computer, distributed data processing server, etc., but not limited to) that is communicatively connected to the control unit 40. The computing device is used to receive historical operating condition data transmitted by the control unit 40 and implement the molded case circuit breaker life prediction method described in any of the above embodiments. The computing device may include at least one processor, at least one memory, and a computer program stored in at least one memory and capable of running on at least one processor. When the processor executes the computer program, it enables the computing device to implement the steps in any of the above embodiments of the molded case circuit breaker life prediction method.

[0099] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0100] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0101] In the embodiments provided in this application, it should be understood that the disclosed molded case circuit breaker and method can be implemented in other ways. For example, the embodiments of the molded case circuit breaker and method described above are merely illustrative. Furthermore, the mutual couplings or direct couplings or communication connections shown or discussed can be indirect couplings or communication connections through some interfaces, devices, or units, and can be electrical, mechanical, or other forms.

[0102] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0103] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for predicting the lifespan of a molded case circuit breaker, characterized in that, include: Acquire historical operating condition data; wherein, the historical operating condition data includes operating parameter data and component wear data; A method for estimating the remaining service life of a molded case circuit breaker is determined based on the historical operating data; wherein, the method for estimating the remaining service life of a molded case circuit breaker is used to analyze the remaining service life of the molded case circuit breaker. The remaining service life of the molded case circuit breaker is estimated based on the method for estimating the remaining service life of the molded case circuit breaker, and the estimated remaining service life of the molded case circuit breaker is obtained.

2. The method for estimating the lifespan of a molded case circuit breaker as described in claim 1, characterized in that, The component wear data includes at least one of contact wear, cumulative overload duration, and contact bounce time. The method for determining the remaining service life of the molded case circuit breaker based on the historical operating data includes: The historical operating condition data within a preset time range from the current moment are identified as the estimated data. At least one lifespan change is obtained based on the component loss data within the estimated data; wherein, the lifespan change reflects the rate and trend of lifespan decay of a certain component of the molded case circuit breaker corresponding to a certain type of component loss data; A method for predicting the remaining service life of a molded case circuit breaker based on the aforementioned lifespan variation.

3. The method for estimating the lifespan of a molded case circuit breaker as described in claim 2, characterized in that, The process of obtaining at least one lifetime change based on the component wear data within the estimated data includes: At least one remaining life attenuation coefficient is obtained based on the component wear data within the estimated data; wherein, the remaining life attenuation coefficient corresponds to the component wear data within the preset time range, and the remaining life attenuation coefficient reflects the correlation between the life consumption status of the molded case circuit breaker from commissioning to the present and the remaining life. The component wear data within the preset time range are traversed in chronological order. For the same component wear data, the earliest remaining lifetime decay coefficient within the preset time range is identified as the first remaining lifetime decay coefficient, and the latest remaining lifetime decay coefficient is identified as the second remaining lifetime decay coefficient. The first remaining lifetime decay coefficient and the second remaining lifetime decay coefficient correspond to the same component wear data. The value obtained by subtracting the first remaining life decay coefficient from the second remaining life decay coefficient corresponding to the same component wear data is confirmed as the life change.

4. The method for estimating the lifespan of a molded case circuit breaker as described in claim 3, characterized in that, The process of obtaining at least one remaining lifetime degradation coefficient based on the component loss data within the estimated data includes: Obtain the terminal loss data corresponding to the component loss data of the same type of molded case circuit breaker as the molded case circuit breaker; wherein, the terminal loss data is the component loss data at the end of the service life of the molded case circuit breaker. The theoretical loss of a component corresponding to the same component loss data is obtained by adding the end-of-life loss data and averaging them. The value obtained by dividing the component loss data by the theoretical loss amount of the corresponding component of the same type is confirmed as the remaining life decay coefficient.

5. The method for estimating the lifespan of a molded case circuit breaker as described in claim 2, characterized in that, The method for determining the remaining service life of the molded case circuit breaker based on the life change includes: If the changes in lifespan are all less than the corresponding preset change threshold, then the remaining service life estimation method based on the commissioning time will be determined as the remaining service life estimation method for the molded case circuit breaker. If any of the life change amounts is greater than the corresponding preset change amount threshold, then the remaining service life estimation method based on the life change amount is determined as the remaining service life estimation method for the molded case circuit breaker.

6. The method for estimating the lifespan of a molded case circuit breaker as described in claim 5, characterized in that, The method for estimating remaining service life based on commissioning duration includes: Obtain the terminal life of a molded case circuit breaker of the same type as the molded case circuit breaker; wherein, the terminal life is the length of time the molded case circuit breaker has been in operation at the end of its life. The average service life is obtained by adding up all the terminal lifespans and averaging them. The estimated remaining service life is obtained by subtracting the commissioning time from the average service life.

7. The method for estimating the lifespan of a molded case circuit breaker as described in claim 5, characterized in that, The remaining service life prediction method based on the said service life change includes: The historical operating condition data closest to the current time is divided into at least two unit operating condition data according to the same duration as the preset duration range; wherein the unit operating condition data is close to the current time in time sequence; Calculate the unit loss amount and the theoretical loss amount of each type of component loss data within each of the unit operating condition data; wherein, the unit loss amount is the cumulative value of the same component loss data within the same unit operating condition data; The unit change is obtained by subtracting the unit loss amount corresponding to the same component loss data in two adjacent unit operating condition data and taking the absolute value. The estimated remaining service life is obtained based on the unit loss, the theoretical loss of the component, and the unit change.

8. The method for estimating the lifespan of a molded case circuit breaker as described in claim 7, characterized in that, The process of obtaining the estimated remaining service life based on the unit loss, the theoretical component loss, and the unit variation includes: For each type of component loss data, the theoretical loss of the component corresponding to the component loss data is subtracted from the sum of the corresponding unit loss amounts, and then divided by the unit change amount corresponding to the component loss data to obtain the remaining life of the component corresponding to the component loss data. The estimated remaining service life is obtained by multiplying the remaining lifespan of each component by its corresponding lifespan weight and summing the results; wherein the sum of the lifespan weights of each component is 1.

9. The method for estimating the lifespan of a molded case circuit breaker as described in claim 1, characterized in that, The operating parameter data includes at least one of the following: contact temperature, operating current, number of opening and closing cycles, operating voltage, and ambient temperature. Before determining the method for estimating the remaining service life of the molded case circuit breaker based on the historical operating condition data, the method further includes: The system monitors the operating parameter data in real time. If the operating parameter data does not meet the corresponding preset operating conditions, an alarm message is generated and sent. The alarm message is used to warn the user.

10. A molded case circuit breaker, characterized in that, The molded case circuit breaker includes: Installation components; At least one conductive part is disposed on the mounting member, the conductive part having a moving contact and a stationary contact; An operating part, disposed on the mounting member and pulsatorically connected to the conductive part, is used to drive the moving contact closer to or further away from the stationary contact, forming a conductive path when the moving contact contacts the stationary contact; and A control unit, disposed on the mounting component, is used to implement the life prediction method for molded case circuit breakers as described in any one of claims 1 to 9.

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