A fuse state monitoring system, method, device and storage medium based on mechanical impact cumulative damage

Abstract

This invention discloses a fuse condition monitoring system, method, device, and storage medium based on cumulative damage from mechanical impact, relating to the field of electrical equipment monitoring and maintenance technology. The system includes a fuse, with first and second fuse terminals fixed to a mechanical impact base frame to form a current path; a first operating parameter acquisition unit connected to the terminals to acquire current, voltage, and terminal temperature; a second steady-state feature extraction unit to acquire steady-state input signals; a third lifespan consumption accumulation model combining initial resistance and temperature rise data to calculate the percentage of fuse lifespan already consumed; a three-dimensional evaluation model analyzing terminal connection performance degradation and determining the status based on calibration curves; and a controller connected to each module to output the fuse status and remaining lifespan, triggering an alarm and uploading it to a remote monitoring system when the value is below a threshold. The method described in this invention achieves continuous monitoring of fuse terminal degradation and determination of remaining lifespan through steady-state feature extraction, impact-equivalent lifespan accumulation, and three-dimensional evaluation.

Description

Technical Field

[0001] This invention relates to the field of electrical equipment monitoring and maintenance technology, specifically to a fuse condition monitoring system, method, device, and storage medium based on cumulative damage from mechanical impact. Background Technology

[0002] As a key component for overcurrent protection, fuses are widely used in power systems and various electrical equipment to interrupt overload or short-circuit currents to ensure equipment and system safety. With increasingly complex system operating conditions and higher reliability requirements, higher demands are placed on fuse operation status monitoring technology. Traditional monitoring methods mainly rely on periodic inspections or visual checks, which cannot reflect the changes in the condition of the fuse's internal conductors and terminals under actual operating conditions.

[0003] In recent years, online monitoring technology has gradually developed. By collecting terminal current, voltage, and temperature data through sensors, the electrical status and thermal characteristics of fuses can be acquired in real time. The development of multi-channel data acquisition and high-speed sampling technology has made continuous monitoring of electrical parameters and temperature rise signals possible, providing rich raw data for condition analysis. Mechanical shock and electromagnetic force are significant factors in fuse operation, directly affecting terminal contact, conductor fatigue, and thermal response. Multi-parameter fusion and analysis methods have been widely explored. Through comprehensive processing of current, voltage, temperature, and shock data, the operating characteristics of fuses can be quantitatively described, providing a basis for life assessment and condition judgment. Various models and algorithms attempt to establish the correlation between fuse terminal contact, resistance changes, and temperature rise trends to improve the precision and continuity of monitoring.

[0004] In existing technologies, electrical parameter acquisition is easily affected by transient current fluctuations and external disturbances, leading to deviations in resistance or temperature calculations. Most life prediction methods rely on single parameters or theoretical models, lacking comprehensive quantification of complex factors such as mechanical shock and electromagnetic forces. This limits the accuracy of assessing cumulative damage during long-term operation. Terminal contact status determination is often based on empirical thresholds or single-parameter judgments, making it difficult to achieve multi-parameter interactive analysis and accurately reflect the relationship between electrical and thermal characteristics. Data interfaces and information synchronization between system modules suffer from lag or inconsistency, limiting the real-time integration and remote transmission capabilities of monitoring information. Under the interaction of multi-dimensional parameters, continuous and comprehensive monitoring of fuse operating status, terminal contact performance, and life consumption still faces technical bottlenecks. Existing methods have room for improvement in monitoring accuracy, data fusion, and real-time performance. Summary of the Invention

[0005] In view of the above-mentioned problems, the present invention is proposed.

[0006] Therefore, the technical problem solved by the present invention is that the existing fuse condition monitoring system has problems in actual operation, such as the monitoring accuracy being affected by transient current fluctuations, the terminal degradation judgment method being singular, the life accumulation assessment being difficult to comprehensively consider mechanical shock and electromagnetic shock, and the data interaction and information synchronization between various modules of the system being imperfect, resulting in insufficient real-time performance and continuity.

[0007] To address the aforementioned technical problems, this invention provides the following technical solution: a fuse condition monitoring system based on cumulative damage from mechanical impact, comprising: a first operating parameter acquisition unit connected to the fuse terminals to acquire current, voltage, and terminal temperature at both ends of the fuse; a second steady-state feature extraction unit connected to the electrical signal of the first operating parameter acquisition unit to acquire steady-state input signals and extract terminal stress and thermal response characteristics using moving window and sliding window methods; a third lifespan consumption accumulation model connected to the first operating parameter acquisition unit and the second steady-state feature extraction unit to calculate the percentage of fuse lifespan already consumed using initial resistance and initial temperature rise data; a three-dimensional evaluation model constructed based on operating parameters, connected to the second steady-state feature extraction unit and the lifespan consumption accumulation signal to analyze the performance degradation of the connection between the first and second fuse terminals and determine the terminal connection performance degradation state using calibration curves; and a controller connected to the data generated in each step to output the current fuse status information and remaining lifespan, and triggering an alarm when the fuse status is below a preset threshold, uploading the data to a remote monitoring system.

[0008] As a preferred embodiment of the fuse condition monitoring system based on cumulative damage from mechanical impact described in this invention, the first operating parameter acquisition unit includes a current acquisition module, a voltage acquisition module, and a temperature acquisition module, which are respectively in contact with the first fuse terminal and the second fuse terminal, to acquire the fuse terminal current, voltage, and terminal temperature rise data in real time, and transmit the acquired signals to the second steady-state feature extraction unit.

[0009] As a preferred embodiment of the fuse condition monitoring system based on cumulative mechanical impact damage described in this invention, the second steady-state feature extraction unit includes a stable region identification module and a voltage drop extraction module; the stable region identification module includes automatically identifying the stable current range in the operation of the converter based on the current signal in the operating parameters and determining the continuous stable section using the AC unit's built-in sensor; the voltage drop extraction module includes extracting the interval voltage drop data within the continuous stable section.

[0010] As a preferred embodiment of the fuse condition monitoring system based on cumulative damage from mechanical impact described in this invention, the extraction of terminal stress and thermal response features by combining moving window and sliding window methods includes: calculating statistical features based on continuously collected current, voltage, and terminal temperature data within a fixed time window; simultaneously, using the sliding window method to calculate the first-order differential capture rate of change and the second-order differential capture acceleration change, thereby constructing a time series feature reflecting the dynamic changes in terminal stress and thermal response; the statistical features include mean, variance, maximum, minimum, and median.

[0011] As a preferred embodiment of the fuse condition monitoring system based on cumulative mechanical impact damage described in this invention, the third life consumption cumulative model includes an internally configured impact filtering and outlier removal module; the outlier removal module includes identifying outliers using IQR and DBSCAN clustering methods, truncating extreme values, and smoothing data noise using a filtering algorithm.

[0012] As a preferred embodiment of the fuse condition monitoring system based on cumulative damage from mechanical impact described in this invention, the third lifespan consumption accumulation model further includes: converting the mechanical or electromagnetic impacts suffered by the fuse during operation into equivalent experimental impact counts through the first and second fuse terminals; combining initial resistance and initial temperature rise data; recording cyclic stress using the rainflow counting method; and generating the percentage of fuse lifespan already consumed and the remaining number of impacts that can be withstood using linear accumulation theory; the rainflow counting method for recording cyclic stress includes decomposing continuous stress fluctuations into multiple stress cycles, including rise-fall and fall-rise cycles, each cycle corresponding to a stress amplitude and average value; and constructing a stress cycle count table for analysis by statistically analyzing all cycles; the linear accumulation theory includes calculating the consumption ratio of terminal lifespan for each stress cycle and corresponding stress amplitude obtained from the rainflow counting; summing the consumption ratios of all cycles to generate the percentage of fuse terminal lifespan already consumed; and calculating the difference between the consumed percentage and 100% to obtain the remaining number of impacts that the terminal can withstood.

[0013] As a preferred embodiment of the fuse condition monitoring system based on cumulative mechanical impact damage described in this invention, the determination of the fuse terminal connection performance degradation status includes: establishing a three-dimensional model based on steady-state voltage drop, terminal temperature rise, and equivalent impact count to determine the degree of degradation of the connection performance of the first fuse terminal and the second fuse terminal; analyzing the changes in terminal connection performance with cumulative impact; determining whether the terminal has reached the critical degradation state through a preset threshold; and determining that the terminal connection performance is severely degraded when the voltage drop increases and the temperature rise rate exceeds the calibration curve. When the terminal degradation index is lower than the preset threshold, an alarm message is automatically generated, terminal status change data is recorded, and status information can be uploaded to a remote monitoring or management platform.

[0014] Another objective of this invention is to provide a fuse condition monitoring method based on cumulative damage from mechanical impact. This method can quantitatively analyze the fuse terminal condition through steps such as collecting operating parameters, extracting steady-state characteristics, and accumulating lifespan consumption. This solves the problems of insufficient monitoring accuracy, single parameters, and incomplete information synchronization in existing fuse monitoring technologies during terminal degradation determination, lifespan accumulation assessment, and multi-module data interaction.

[0015] As a preferred embodiment of the fuse condition monitoring method based on cumulative mechanical impact damage described in this invention, the method includes: collecting current, voltage, and terminal temperature signals at both ends of the fuse and extracting steady-state features; identifying stable intervals and extracting interval voltage drop data; converting the mechanical or electromagnetic impacts suffered by the fuse during operation into equivalent experimental impact counts through terminal current peak values; calculating the percentage of the fuse's lifespan already consumed by combining initial resistance and initial temperature rise data; establishing a three-dimensional evaluation model based on steady-state voltage drop, terminal temperature rise, and equivalent impact counts; determining the terminal connection performance degradation state; transmitting the steady-state features, lifespan accumulation results, and three-dimensional evaluation results to the controller; generating the fuse's current state information and remaining lifespan by the controller; triggering an alarm and uploading it to a remote monitoring system when the state is below a preset threshold.

[0016] Another object of the present invention is to provide a fuse condition monitoring device based on cumulative mechanical impact damage, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the fuse condition monitoring system based on cumulative mechanical impact damage.

[0017] Another object of the present invention is to provide a fuse condition monitoring storage medium based on cumulative mechanical impact damage, wherein a computer program is stored thereon, and when the computer program is executed by a processor, the steps of a fuse condition monitoring system based on cumulative mechanical impact damage are implemented.

[0018] The beneficial effects of this invention are as follows: The fuse condition monitoring system based on cumulative damage from mechanical impact provided by this invention eliminates the interference of transient current fluctuations on voltage drop measurement by extracting steady-state features, accurately quantifies the cumulative damage of fuse terminals and conductors through impact equivalence and life accumulation, and determines the terminal degradation state by fusing voltage drop, terminal temperature rise and impact number through a three-dimensional evaluation model. It achieves better results in terms of fuse terminal condition determination accuracy, life assessment accuracy and data fusion real-time performance. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is an overall schematic diagram of a fuse condition monitoring system based on cumulative mechanical impact damage provided in Embodiment 1 of the present invention.

[0021] Figure 2 This is a schematic diagram of a fuse terminal for a fuse condition monitoring system based on cumulative mechanical impact damage, provided in Embodiment 1 of the present invention.

[0022] Figure 3 The random vibration response curve of the fuse terminal is provided in Embodiment 1 of the present invention for a fuse condition monitoring system based on cumulative mechanical impact damage. Detailed Implementation

[0023] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0024] Example 1, referring to Figures 1-3 As one embodiment of the present invention, a fuse condition monitoring system based on cumulative damage from mechanical impact is provided, comprising: The first operating parameter acquisition unit 100 is connected to the fuse terminals and acquires the current, voltage and terminal temperature at both ends of the fuse D.

[0025] The second steady-state feature extraction unit 200 is electrically connected to the first operating parameter acquisition unit 100 to acquire steady-state input signals and extract terminal force and thermal response features by combining moving window and sliding window methods.

[0026] The third lifespan consumption accumulation model 300 is connected to the first operating parameter acquisition unit 100 and the second steady-state feature extraction unit 200, and calculates the percentage of lifespan consumed by the fuse D by combining the initial resistance and initial temperature rise data.

[0027] A three-dimensional evaluation model 400 is constructed based on the operating parameters and connected to the second steady-state feature extraction unit 200 and the life consumption accumulation signal to analyze the degradation of the connection performance of the first fuse terminal 101 and the second fuse terminal 102, and to determine the degradation state of the terminal connection performance in combination with the calibration curve.

[0028] The controller S is connected to the data generated in each step, outputs the current status information and remaining life of the fuse D, and triggers an alarm when the status of the fuse D is lower than a preset threshold, and uploads the data to the remote monitoring system.

[0029] The operational logic of the electrothermal coupling real-time operation model includes the following steps: First, in each simulation step, the operating parameters at both ends of the fuse are collected, including voltage drop and current values. Then, a steady-state extraction algorithm is used to identify the stable current range to extract voltage drop data. Next, combined with the initial resistance and initial temperature rise data, the percentage of the fuse D's consumed life is calculated using the rainflow counting method and linear cumulative theory. The calculated characteristic parameters are input into the three-dimensional evaluation model 400. Combining the temperature rise trend and the terminal connection performance degradation law, a comprehensive index of voltage drop-temperature rise-impact number is generated, and the real-time status is updated through the data interface between the controller S and the monitoring system. Finally, when the calculation result is lower than the preset threshold, the controller S triggers an early warning and feeds back to the remote monitoring system.

[0030] The fuse D includes a first fuse and a second fuse; they are respectively fixed to the upper frame of the mechanical impact base in the X, Y, and Z directions by fixing clamps.

[0031] Measure and collect the operating parameters at both ends of fuse D to obtain the thermal load and electrical parameters of the first and second fuses under actual operating conditions; the electrical parameters include voltage, voltage drop, and current; the thermal load includes the temperature of fuse D and the ambient temperature.

[0032] The first operating parameter acquisition unit 100 includes a current acquisition module, a voltage acquisition module, and a temperature acquisition module, which are respectively in contact with the first fuse terminal 101 and the second fuse terminal 102, and acquire the fuse terminal current, voltage, and terminal temperature rise data in real time, and transmit the acquired signals to the second steady-state feature extraction unit 200.

[0033] The second steady-state feature extraction unit 200 includes a steady-state region identification module and a voltage drop extraction module. The steady-state region identification module includes automatically identifying the steady current range in the operation of the converter based on the current signal in the operating parameters and using the built-in sensor of the AC unit to determine the continuous stable section. The voltage drop extraction module includes extracting the voltage drop data within the continuous stable section.

[0034] The extraction of terminal stress and thermal response features by combining moving window and sliding window methods includes: calculating statistical features based on continuously acquired current, voltage and terminal temperature data based on a fixed time window; and simultaneously using the sliding window method to calculate the first-order differential capture rate of change and the second-order differential capture acceleration change to construct a time series feature reflecting the dynamic changes of terminal stress and thermal response. The statistical features include mean, variance, maximum, minimum and median.

[0035] The third lifespan consumption cumulative model 300 includes an internally configured shock filtering and outlier removal module.

[0036] The outlier removal module includes identifying outliers using IQR and DBSCAN clustering methods, truncating extreme values, and smoothing data noise using filtering algorithms.

[0037] The mechanical or electromagnetic shocks experienced by fuse D during operation are equivalently converted into the number of experimental shocks through the first fuse terminal 101 and the second fuse terminal 102. Combined with the initial resistance and initial temperature rise data, the cyclic stress is recorded using the rain flow counting method. The percentage of the fuse D's lifespan that has been consumed and the remaining number of shocks that it can withstand are generated using the linear cumulative theory.

[0038] The continuous stress fluctuation is decomposed into multiple stress cycles using the rainflow counting method, including rise-fall and fall-rise cycles. Each cycle corresponds to a stress amplitude and average value. By statistically analyzing all cycles, a stress cycle counting table is constructed.

[0039] Using the linear cumulative theory, based on each stress cycle and corresponding stress amplitude obtained from rainflow counting, the consumption ratio of terminal life for each cycle is calculated. The consumption ratios of all cycles are accumulated to generate the percentage of the fuse terminal's lifespan already consumed. The difference between the consumed percentage and 100% is calculated to obtain the number of impacts the terminal can withstand remaining.

[0040] Determining the degradation status of fuse terminal connection performance includes establishing a three-dimensional model based on steady-state voltage drop, terminal temperature rise, and equivalent impact count to determine the degree of degradation of the connection performance of the first and second fuse terminals. It also involves analyzing the changes in terminal connection performance with the accumulation of impacts, determining whether the terminals have reached the critical degradation state through a preset threshold, and judging whether the terminal connection performance is severely degraded when the voltage drop increases and the temperature rise rate exceeds the calibration curve. When the terminal degradation index is lower than the preset threshold, an alarm message is automatically generated, the terminal status change data is recorded, and the status information can be uploaded to a remote monitoring or management platform.

[0041] Determining the degradation state of fuse terminal connection performance includes establishing a three-dimensional model based on steady-state voltage drop, terminal temperature rise, and equivalent impact number to determine the degree of degradation of the connection performance of the first fuse terminal 101 and the second fuse terminal 102. When the voltage drop increases and the temperature rise rate exceeds the calibration curve, it is determined that the terminal connection performance is severely degraded, rather than due to ambient temperature interference.

[0042] The first and second fuses are securely mounted on the upper frame of the mechanical impact base using a special fixing clamp. This ensures that the fuse terminals remain stable under vibration and impact in the X, Y, and Z directions, while simultaneously forming a continuous current path. Fine-tuning bolts are designed on the clamp to adjust the tightening force between the terminals and the base according to the actual vibration environment, thereby achieving mechanical stability control of fuse D under different impact intensities. The entire fixing structure has been verified through laboratory mechanical impact testing to obtain the resistance change threshold.

[0043] For reference Figure 3 As shown in the figure, the vertical axis represents the acceleration of the fuse terminal under vibration test (unit: m / s²), and the horizontal axis represents time (unit: ms). The green solid line in the curve is the actual measured acceleration response of the fuse terminal, and the red curve is the set vibration threshold range. Figure 3 The dynamic response characteristics of the fuse can be observed when a random vibration spectrum is applied.

[0044] In the 0-2ms time interval, the acceleration of the fuse terminals is low and fluctuates within the set threshold range, indicating that the terminals are under stable stress during the initial loading stage. In the 2-6ms interval, the acceleration rises rapidly and reaches a peak, indicating that the impact on the fuse gradually increases. The green curve is still below the upper limit of the red threshold, indicating that the random vibration signal and vibration load are effectively controlled within a safe range. After 6ms, the acceleration gradually decays to near the initial state, showing that the fuse terminals can return to a balanced state after the vibration loading is completed. At the same time, the upper and lower red threshold lines limit extreme values ​​and prevent overload impact.

[0045] The current, voltage, and terminal temperature at both ends of fuse D are acquired in real time by the first operating parameter acquisition unit 100, which includes a current acquisition module, a voltage acquisition module, and a temperature acquisition module. The signal is transmitted to the second steady-state feature extraction unit 200 through a high-speed interface. The second steady-state feature extraction unit 200 analyzes the acquired current signal, automatically identifies the stable range, and extracts the terminal voltage drop within the current range to form a steady-state input signal. At the same time, it outputs the signal synchronously with the timestamp and terminal identifier. The steady-state feature extraction process can be configured with sampling frequency, time window, and threshold parameters.

[0046] The third lifespan consumption accumulation model 300 receives the steady-state input signal and the output of the first operating parameter acquisition module. It converts the mechanical or electromagnetic shocks experienced by the fuse D during actual operation into the number of experimental shocks through the terminal current peak value. At the same time, it combines the initial resistance and temperature rise data, and uses the rainflow counting method and linear accumulation theory to calculate the percentage of lifespan consumed by the fuse D. The model is equipped with shock filtering and outlier removal modules to remove high-frequency abnormal data. The output lifespan consumption data and steady-state characteristic data are synchronously transmitted to the three-dimensional evaluation model 400.

[0047] The 3D evaluation model 400 takes steady-state voltage drop, terminal temperature rise, and equivalent impact count as inputs to establish a multi-dimensional data fusion model. During the analysis process, the model combines laboratory calibration curves to determine that terminals with increased voltage drop and temperature rise rates exceeding the threshold are degraded. At the same time, it generates corresponding terminal state matrices for different terminals and different time series data. The 3D evaluation model 400 also supports module-built-in terminal identifier mapping and data synchronization verification, so that the data output by different modules can be accurately matched and integrated in the controller S.

[0048] The controller S centrally receives the output signals from the second steady-state feature extraction unit 200, the third life consumption accumulation model 300, and the three-dimensional evaluation model 400. It generates the current status information and remaining life of fuse D through the internal data processing module, and triggers an alarm according to a preset threshold. The controller S uploads the status, life percentage, and terminal degradation information of fuse D to the remote monitoring system through the remote communication interface, realizing real-time monitoring and remote management of equipment in high vibration environments. A timestamp and terminal identifier mapping module is added to the controller S to synchronize and correspond the data between steady-state features, life consumption, and three-dimensional evaluation output.

[0049] Example 2, an embodiment of the present invention, provides a method for monitoring the condition of a fuse based on cumulative damage from mechanical impact, comprising: The current, voltage, and terminal temperature signals at both ends of the fuse are collected, and steady-state features are extracted.

[0050] Identify the stable range and extract the voltage drop data of the range. Convert the mechanical or electromagnetic shocks suffered by fuse D during operation into the number of experimental shocks through the terminal current peak value. Combine the initial resistance and initial temperature rise data to calculate the percentage of the fuse D's lifespan that has been consumed.

[0051] A three-dimensional evaluation model 400 is established based on steady-state voltage drop, terminal temperature rise, and equivalent impact count to determine the terminal connection performance degradation state. The steady-state characteristics, lifetime accumulation results, and three-dimensional evaluation results are transmitted to the controller S. The controller S generates the current status information and remaining lifetime of the fuse D. When the status is lower than the preset threshold, an alarm is triggered and uploaded to the remote monitoring system.

[0052] This embodiment also provides a computer device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements a fuse condition monitoring system based on cumulative mechanical impact damage as proposed in the above embodiment.

[0053] This embodiment also provides a computer-readable storage medium storing a computer program thereon. When the computer program is executed by a processor, it implements a fuse condition monitoring system based on cumulative damage from mechanical impact as proposed in the above embodiment.

[0054] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0055] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0056] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0057] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0058] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A fuse condition monitoring system based on cumulative damage from mechanical impact, characterized in that, include: The first operating parameter acquisition unit (100) is connected to the fuse terminals to acquire the current, voltage and terminal temperature at both ends of the fuse (D); The second steady-state feature extraction unit (200) is electrically connected to the first operating parameter acquisition unit (100) to acquire steady-state input signals and extract terminal force and thermal response features by combining moving window and sliding window methods. The third life consumption accumulation model (300) is connected to the first operating parameter acquisition unit (100) and the second steady-state feature extraction unit (200), and calculates the percentage of life consumed by the fuse (D) by combining the initial resistance and initial temperature rise data. A three-dimensional evaluation model (400) is constructed based on the operating parameters and connected to the second steady-state feature extraction unit (200) and the lifetime consumption accumulation signal. The degradation of the connection performance of the first fuse terminal (101) and the second fuse terminal (102) is analyzed, and the terminal connection performance degradation status is determined by combining the calibration curve. The controller (S) is connected to the data generated in each step, outputs the current status information and remaining life of the fuse (D), and triggers an alarm when the status of the fuse (D) is lower than a preset threshold, and uploads the data to the remote monitoring system.

2. The fuse condition monitoring system based on cumulative mechanical impact damage as described in claim 1, characterized in that: The first operating parameter acquisition unit (100) includes, The current acquisition module, voltage acquisition module and temperature acquisition module are in contact with the first fuse terminal (101) and the second fuse terminal (102) respectively, and collect the fuse terminal current, voltage and terminal temperature rise data in real time, and transmit the collected signals to the second steady-state feature extraction unit (200).

3. The fuse condition monitoring system based on cumulative mechanical impact damage as described in claim 1 or 2, characterized in that: The second steady-state feature extraction unit (200) includes, Stable region identification module and voltage drop extraction module; The stable zone identification module includes, based on the current signal in the operating parameters, using the AC converter's built-in sensor to automatically identify the stable current range during the operation of the converter and determine the continuous stable section. The voltage drop extraction module includes the ability to extract interval voltage drop data within a continuous stable range.

4. The fuse condition monitoring system based on cumulative mechanical impact damage as described in claim 3, characterized in that: The method combining moving window and sliding window extraction of terminal stress and thermal response features includes, Statistical characteristics are calculated based on continuously acquired current, voltage, and terminal temperature data within a fixed time window. Simultaneously, the sliding window method is used to calculate the first-order differential capture rate of change and the second-order differential capture acceleration change, thereby constructing a time series feature reflecting the dynamic changes in terminal force and thermal response. Statistical characteristics include mean, variance, maximum, minimum, and median.

5. The fuse condition monitoring system based on cumulative mechanical impact damage as described in any one of claims 1, 2, and 4, characterized in that: The third lifespan consumption accumulation model (300) includes, Internally configured with impulse filtering and outlier removal modules; The outlier removal module includes identifying outliers using IQR and DBSCAN clustering methods, truncating extreme values, and smoothing data noise using filtering algorithms.

6. The fuse condition monitoring system based on cumulative mechanical impact damage as described in claim 5, characterized in that: The third lifespan consumption accumulation model (300) also includes, The mechanical or electromagnetic shocks experienced by the fuse (D) during operation are equivalently converted into the number of experimental shocks through the first fuse terminal (101) and the second fuse terminal (102). Combined with the initial resistance and initial temperature rise data, the cyclic stress is recorded by the rain flow counting method. The percentage of the fuse (D)'s lifespan that has been consumed and the remaining number of shocks that can be withstood are generated by the linear cumulative theory. The rainflow counting method for recording cyclic stress includes decomposing continuous stress fluctuations into multiple stress cycles, including rise-fall and fall-rise cycles. Each cycle corresponds to a stress amplitude and average value. By statistically analyzing all cycles, a stress cycle counting table is constructed for analysis. The linear cumulative theory includes calculating the consumption ratio of terminal life for each stress cycle based on rainflow counting and corresponding stress amplitude, summing the consumption ratios of all cycles to generate the percentage of life consumed by the fuse terminal, and calculating the difference between the consumed percentage and 100% to obtain the remaining number of impacts the terminal can withstand.

7. The fuse condition monitoring system based on cumulative mechanical impact damage as described in any one of claims 1, 2, 4, and 6, characterized in that: The determination of the degradation status of fuse terminal connection performance includes... A three-dimensional model is established based on steady-state voltage drop, terminal temperature rise and equivalent number of impacts to determine the degree of degradation of the connection performance of the first fuse terminal (101) and the second fuse terminal (102). The change of terminal connection performance with impact accumulation is analyzed. A preset threshold is used to determine whether the terminal has reached the critical state of degradation. When the voltage drop increases and the temperature rise rate exceeds the calibration curve, it is determined that the terminal connection performance is seriously degraded. When the terminal degradation index falls below the preset threshold, an alarm message is automatically generated, terminal status change data is recorded, and status information can be uploaded to a remote monitoring or management platform.

8. A method for monitoring the condition of a fuse based on cumulative damage from mechanical impact, comprising the fuse condition monitoring system based on cumulative damage from mechanical impact as described in any one of claims 1 to 7, characterized in that, include: Collect current, voltage, and terminal temperature signals across the fuse (D) and extract steady-state features; Identify the stable range and extract the range voltage drop data. Convert the mechanical or electromagnetic shocks suffered by the fuse (D) during operation into the number of experimental shocks through the terminal current peak value. Combine the initial resistance and initial temperature rise data to calculate the percentage of the fuse (D)'s lifespan that has been consumed. A three-dimensional evaluation model (400) is established based on steady-state voltage drop, terminal temperature rise and equivalent number of impacts to determine the terminal connection performance degradation state. The steady-state characteristics, lifetime accumulation results and three-dimensional evaluation results are transmitted to the controller (S). The controller (S) generates the current status information and remaining lifetime of the fuse (D). When the status is lower than the preset threshold, an alarm is triggered and uploaded to the remote monitoring system.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the fuse condition monitoring system based on cumulative mechanical impact damage as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the fuse condition monitoring system based on cumulative mechanical impact damage as described in any one of claims 1 to 7.

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