Real-time analysis method and system for mechanical characteristic curve of embedded switch

Abstract

The invention discloses a real-time analysis method and system for a mechanical characteristic curve of an embedded switch, and the method comprises the steps: carrying out the mechanical characteristic test of a to-be-tested switch, and obtaining the travel of a switch action and a time curve of coil current based on a preset sampling rate; based on the time curve, extracting physical parameters for judging mechanical characteristics of the switch; inputting the physical parameters into a preset rule engine, judging the physical parameters through the rule engine, and diagnosing the mechanical characteristics of the switch based on a judgment result.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power equipment detection, and more particularly to an embedded switch mechanical characteristic curve real-time analysis method and system. BACKGROUND

[0002] With the increase of the service life of high-voltage circuit breakers, the failure probability gradually increases, and the refusal phenomenon occurs from time to time. However, the switch mechanical characteristic instrument currently used cannot analyze the test data immediately after completing the on-site test, but only can copy the data to the computer for analysis after the test is completed. Not only a large amount of manpower is consumed, but also the switch state cannot be judged on site. When the data analysis has a problem, the switch defects need to be checked again, and then the mechanical characteristic test work is repeated, which seriously affects the work efficiency, prolongs the power-off time, and is not conducive to the safe and stable operation of the high-voltage circuit breaker.

[0003] Therefore, an embedded switch mechanical characteristic curve analysis method and a switch mechanical characteristic tester are needed to complete the anti-refusal analysis on site and improve the on-site test analysis efficiency. SUMMARY

[0004] The technical scheme of the present application provides an embedded switch mechanical characteristic curve real-time analysis method and system to solve the problem of how to analyze and diagnose the mechanical characteristics of the switch.

[0005] In order to solve the above problems, the present application provides an embedded switch mechanical characteristic curve real-time analysis method, which comprises:

[0006] Performing a mechanical characteristic test on the switch to be tested, and obtaining the time curve of the stroke and coil current of the switch based on a preset sampling rate;

[0007] Based on the time curve, extracting physical parameters for judging the mechanical characteristics of the switch;

[0008] Inputting the physical parameters into a preset rule engine, judging the physical parameters through the rule engine, and diagnosing the mechanical characteristics of the switch based on the judgment result.

[0009] Preferably, based on the time curve, the physical parameters for judging the mechanical characteristics of the switch are extracted, comprising:

[0010] Identifying the inflection points of the time curve, the inflection points comprising: a current starting point T0, a first current peak point T1, a first current valley point T2, a current descending point T3 after the valley, and a current average value I3;

[0011] The physical parameters comprise:

[0012] A first time difference T10 between the first current peak point T1 and the current starting point T0, T10 = T1 - T0;

[0013] a second time difference T32 between the current drop point T3 after the current trough and the first current trough point T2, T32 = T3 - T2;

[0014] A third time difference T21 between the first current trough point T2 and the first current peak point T1 is as follows: T21=T2-T1.

[0015] Preferably, the physical parameters are input into a preset rule engine, the physical parameters are judged by the rule engine, and the mechanical characteristics of the switch are diagnosed based on the judgment result, including:

[0016] Calculating a first difference ratio between the first time difference value T10 and the corresponding original first time difference value; when the first difference ratio is greater than 30%, determining that the coil jam state is severe; when the first difference ratio is between 20% and 30%, determining that the coil jam state is abnormal; and when the first difference ratio is between 10% and 20%, determining that the coil jam state is cautionary;

[0017] Calculating a second difference ratio between the first trough point T2 of the current and the first trough point value of the corresponding original current; when the second difference ratio is greater than 30%, determining that the coil core gap variation or the coil stuck state is severe; when the second difference ratio is between 20% and 30%, determining that the coil core gap variation or the coil stuck state is abnormal; when the second difference ratio is between 10% and 20%, determining that the coil core gap variation or the coil stuck state is a warning;

[0018] calculating a third difference ratio between the second time difference value T32 and the corresponding original second time difference value, and determining that the coil turn-to-turn short circuit state is severe when the third difference ratio is greater than 30%; determining that the coil turn-to-turn short circuit state is abnormal when the third difference ratio is between 20% and 30%; and determining that the coil turn-to-turn short circuit state is cautionary when the third difference ratio is between 10% and 20%;

[0019] Calculate a fourth difference ratio between the current average value I3 and the corresponding original current average value. When the fourth difference ratio is greater than 30%, judge that spring fatigue, mechanism jamming, or lubrication status of transmission components is serious; when the fourth difference ratio is between 20% and 30%, judge that spring fatigue, mechanism jamming, or lubrication status of transmission components is abnormal; when the fourth difference ratio is between 10% and 20%, judge that spring fatigue, mechanism jamming, or lubrication status of transmission components is cautionary.

[0020] Preferably, the physical parameters are input into a preset rule engine, the physical parameters are judged by the rule engine, and mechanical characteristics of the switch are diagnosed based on the judgment result.

[0021] When the time curve of the stroke exceeds the upper and lower envelopes by ±3%, one or more of the following states is determined: mechanism transmission component jamming, spring softening, mechanism buffer variation, and mechanism cracking.

[0022] Preferably, the mechanical characteristics of the switch are diagnosed, and the diagnosis result includes abnormal stroke and current abnormal fluctuation.

[0023] When the diagnosis result is abnormal stroke, the abnormal stroke is marked with a first mark.

[0024] When the diagnosis result is current abnormal fluctuation, the current abnormal fluctuation is marked with a second mark.

[0025] Based on another aspect of the present application, the present application provides an embedded switch mechanical characteristic curve real-time analysis system, the system comprising:

[0026] An initial unit is configured to perform a mechanical characteristic test on a switch to be tested, and to obtain a stroke and a time curve of a coil current of switch operation based on a preset sampling rate.

[0027] An extraction unit is configured to extract physical parameters for judging mechanical characteristics of the switch based on the time curve.

[0028] A result unit is configured to input the physical parameters into a preset rule engine, judge the physical parameters by the rule engine, and diagnose mechanical characteristics of the switch based on the judgment result.

[0029] Preferably, the extraction unit is configured to extract physical parameters for judging mechanical characteristics of the switch based on the time curve, and is further configured to:

[0030] Identify an inflection point of the time curve, the inflection point comprising: a current starting point T0, a first current peak point T1, a first current valley point T2, a current drop point T3 after the valley, and a current average value I3.

[0031] The physical parameters comprise:

[0032] A first time difference T10 between the first current peak point T1 and the current starting point T0, T10=T1-T0.

[0033] A second time difference T32 between the current drop point T3 after the valley and the first current valley point T2, T32=T3-T2.

[0034] A third time difference value T21 between the first current valley point T2 and the first current peak point T1, T21=T2-T1.

[0035] Preferably, the physical parameters are input into a preset rule engine, the physical parameters are judged by the rule engine, based on the judgment result, the mechanical characteristics of the switch are diagnosed, including:

[0036] The first difference ratio of the first time difference value T10 and the corresponding original first time difference value is calculated, when the first difference ratio is greater than 30%, it is judged that the coil jamming state is serious; when the first difference ratio is between 20% and 30%, it is judged that the coil jamming state is abnormal; when the first difference ratio is between 10% and 20%, it is judged that the coil jamming state is attention;

[0037] The second difference ratio of the first current valley point T2 and the corresponding original first current valley point value is calculated, when the second difference ratio is greater than 30%, it is judged that the coil core gap variation or coil jamming state is serious; when the second difference ratio is between 20% and 30%, it is judged that the coil core gap variation or coil jamming state is abnormal; when the second difference ratio is between 10% and 20%, it is judged that the coil core gap variation or coil jamming state is attention;

[0038] The third difference ratio of the second time difference value T32 and the corresponding original second time difference value is calculated, when the third difference ratio is greater than 30%, it is judged that the coil turn-to-turn short circuit state is serious; when the third difference ratio is between 20% and 30%, it is judged that the coil turn-to-turn short circuit state is abnormal; when the third difference ratio is between 10% and 20%, it is judged that the coil turn-to-turn short circuit state is attention;

[0039] The fourth difference ratio of the current average value I3 and the corresponding original current average value is calculated, when the fourth difference ratio is greater than 30%, it is judged that the spring fatigue, mechanism jamming or transmission component lubrication state is serious; when the fourth difference ratio is between 20% and 30%, it is judged that the spring fatigue, mechanism jamming or transmission component lubrication state is abnormal; when the fourth difference ratio is between 10% and 20%, it is judged that the spring fatigue, mechanism jamming or transmission component lubrication state is attention.

[0040] Preferably, the result unit is used for inputting the physical parameters into a preset rule engine, judging the physical parameters by the rule engine, and diagnosing the mechanical characteristics of the switch based on the judgment result, and is further used for:

[0041] When the time curve of the stroke exceeds the upper and lower envelope lines ±3%, it is judged to be one or more of the following states: mechanism transmission component jamming, spring fatigue, mechanism buffer variation, mechanism cracking.

[0042] Preferably, the result unit is configured to diagnose the mechanical characteristics of the switch, and the diagnosis result comprises: abnormal stroke and abnormal current fluctuation.

[0043] When the diagnosis result is abnormal stroke, the abnormal stroke is marked with a first mark.

[0044] When the diagnosis result is abnormal current fluctuation, the abnormal current fluctuation is marked with a second mark.

[0045] The technical scheme of the present application provides an embedded switch mechanical characteristic curve real-time analysis method and system, wherein the method comprises: performing mechanical characteristic test on a switch to be tested, obtaining the stroke and coil current time curve of the switch action based on a preset sampling rate; extracting physical parameters for judging the mechanical characteristics of the switch based on the time curve; inputting the physical parameters into a preset rule engine, judging the physical parameters through the rule engine, and diagnosing the mechanical characteristics of the switch based on the judgment result. The technical scheme of the present application provides an embedded mechanical characteristic curve real-time analysis method based on a switch mechanical characteristic tester, which is especially suitable for on-site rapid diagnosis after high-voltage circuit breaker test, and completes the analysis of switch anti-refusal in the field, thereby improving the analysis efficiency of on-site test. BRIEF DESCRIPTION OF DRAWINGS

[0046] The exemplary embodiments of the present application can be more completely understood by reference to the following drawings:

[0047] Figure 1 A flow chart of an embedded switch mechanical characteristic curve real-time analysis method according to the preferred embodiment of the present application;

[0048] Figure 2 A split and closing coil current standard waveform diagram according to the preferred embodiment of the present application;

[0049] Figure 3 A flow chart of an embedded switch mechanical characteristic curve real-time analysis method according to the preferred embodiment of the present application; and

[0050] Figure 4 A structure diagram of an embedded switch mechanical characteristic curve real-time analysis system according to the preferred embodiment of the present application. DETAILED DESCRIPTION

[0051] Reference will now be made to the drawings to describe the exemplary embodiments of the present application in greater detail. The present application can be variously embodied and is not limited to the embodiments described herein. These embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the application to those skilled in the art. The terminology used in the description of the exemplary embodiments presented herein is not intended to be limiting of the present application. Same reference numerals in different drawings denote the same elements.

[0052] Unless otherwise defined, all terms (including 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. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and the present disclosure, and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.

[0053] Figure 1 A flow chart of an embedded switch mechanical characteristic curve real-time analysis method according to a preferred embodiment of the present application.

[0054] The present application provides an embedded switch mechanical characteristic curve analysis method to solve the problem of analyzing the mechanical characteristic curve of a switch on site.

[0055] The present application discloses an embedded switch mechanical characteristic curve real-time analysis method, which realizes millisecond-level curve feature extraction at the end of a test instrument, judges the switch state in real time by extracting the characteristic value of the curve, and can effectively improve the test efficiency of switch-type equipment, complete switch anti-refusal analysis on site, troubleshoot switch defects in time, and reduce power outage time.

[0056] As shown in Figure 1 The present application provides an embedded switch mechanical characteristic curve real-time analysis method, which includes the following steps:

[0057] Step 101: Perform a mechanical characteristic test on a switch to be tested, and obtain the travel and coil current time curve of the switch action based on a preset sampling rate;

[0058] The present application obtains the travel-time curve and coil current-time curve of the switch action through a switch mechanical characteristic tester;

[0059] The attention value, abnormal value and serious value of s(T10), s(T2), s(T32) and s(I3) are marked with yellow highlight, blue highlight and red highlight, respectively.

[0060] Step 102: Extract the physical parameters for judging the mechanical characteristics of the switch based on the time curve;

[0061] The present application identifies the feature points of the curve based on a sliding window gradient method;

[0062] Extract physical parameters: on-off time, average speed, bounce time;

[0063] Key point detection unit, based on sliding window gradient method to identify curve inflection point, including: current starting point T0, current first peak point T1, current first trough point T2, current after the trough of the decline point T3, current average value I3.

[0064] Physical parameter calculation unit, real-time calculation:

[0065] T10=T1-T0;

[0066] T32=T3-T2;

[0067] T21=T2-T1;

[0068] C=(max(Xi)-avg(Xi)) / avg(Xi), Xi is the characteristic value T10, T21, T32, I3, avg is the average value.

[0069] C is the dispersion degree of the characteristic value in multiple test results; when the characteristic value is in the stable range, the C value is small; if C increases significantly, it indicates that a certain characteristic value deviates from the group mean, suggesting that there is a local defect or uncoordinated action in this operation. Preferably, based on the time curve, the physical parameters of the mechanical characteristics of the switch are extracted, including:

[0070] Identify the inflection point of the time curve, including: current starting point T0, current first peak point T1, current first trough point T2, current after the trough of the decline point T3, current average value I3;

[0071] Physical parameters include:

[0072] The first time difference T10 between the current first peak point T1 and the current starting point T0, T10=T1-T0;

[0073] The second time difference T32 between the current after the trough of the decline point T3 and the current first trough point T2, T32=T3-T2;

[0074] The third time difference T21 between the current first trough point T2 and the current first peak point T1, T21=T2-T1.

[0075] Step 103: input the physical parameters into the preset rule engine, judge the physical parameters through the rule engine, and diagnose the mechanical characteristics of the switch based on the judgment result.

[0076] Preferably, the physical parameters are input into a preset rule engine, the physical parameters are judged by the rule engine, and based on the judgment result, the mechanical characteristics of the switch are diagnosed, including:

[0077] A first difference ratio of the first time difference value T10 and the corresponding original first time difference value is calculated, when the first difference ratio is greater than 30%, it is judged that the coil jamming state is serious, when the first difference ratio is between 20% and 30%, it is judged that the coil jamming state is abnormal, and when the first difference ratio is between 10% and 20%, it is judged that the coil jamming state is attention;

[0078] A second difference ratio of the current first valley point T2 and the corresponding original current first valley point value is calculated, when the second difference ratio is greater than 30%, it is judged that the coil core gap variation or the coil jamming state is serious, when the second difference ratio is between 20% and 30%, it is judged that the coil core gap variation or the coil jamming state is abnormal, and when the second difference ratio is between 10% and 20%, it is judged that the coil core gap variation or the coil jamming state is attention;

[0079] A third difference ratio of the second time difference value T32 and the corresponding original second time difference value is calculated, when the third difference ratio is greater than 30%, it is judged that the coil turn-to-turn short circuit state is serious, when the third difference ratio is between 20% and 30%, it is judged that the coil turn-to-turn short circuit state is abnormal, and when the third difference ratio is between 10% and 20%, it is judged that the coil turn-to-turn short circuit state is attention;

[0080] A fourth difference ratio of the current average value I3 and the corresponding original current average value is calculated, when the fourth difference ratio is greater than 30%, it is judged that the spring fatigue, mechanism jamming or transmission component lubrication state is serious, when the fourth difference ratio is between 20% and 30%, it is judged that the spring fatigue, mechanism jamming or transmission component lubrication state is abnormal, and when the fourth difference ratio is between 10% and 20%, it is judged that the spring fatigue, mechanism jamming or transmission component lubrication state is attention.

[0081] The physical parameters extracted by the application are: closing and opening time, average speed, bounce time;

[0082] The rule engine of the application comprises:

[0083] s(T10): a first difference ratio of the first time difference value T10 and the corresponding original first time difference value is calculated, when the first difference ratio is greater than 30%, it is judged that the coil jamming state is serious, when the first difference ratio is between 20% and 30%, it is judged that the coil jamming state is abnormal, and when the first difference ratio is between 10% and 20%, it is judged that the coil jamming state is attention;

[0084] s(T2): calculate the second difference ratio of the first trough point T2 of the current and the corresponding first trough point value of the original current, when the second difference ratio is greater than 30%, it is judged that the coil core gap variation or the coil jamming state is serious, when the second difference ratio is between 20% and 30%, it is judged that the coil core gap variation or the coil jamming state is abnormal, when the second difference ratio is between 10% and 20%, it is judged that the coil core gap variation or the coil jamming state is attention;

[0085] s(T32): calculate the third difference ratio of the second time difference value T32 and the corresponding original second time difference value, when the third difference ratio is greater than 30%, it is judged that the coil turn-to-turn short circuit state is serious, when the third difference ratio is between 20% and 30%, it is judged that the coil turn-to-turn short circuit state is abnormal, when the third difference ratio is between 10% and 20%, it is judged that the coil turn-to-turn short circuit state is attention;

[0086] s(I3): calculate the fourth difference ratio of the current average value I3 and the corresponding original current average value, when the fourth difference ratio is greater than 30%, it is judged that the spring fatigue, mechanism jamming or transmission component lubrication state is serious, when the fourth difference ratio is between 20% and 30%, it is judged that the spring fatigue, mechanism jamming or transmission component lubrication state is abnormal, when the fourth difference ratio is between 10% and 20%, it is judged that the spring fatigue, mechanism jamming or transmission component lubrication state is attention;

[0087] When the stroke curve exceeds the upper and lower envelope lines ±3%, the possible defects are mechanism transmission component jamming, spring softening, mechanism buffer variation, mechanism cracking, etc.

[0088] Preferably, the physical parameters are input into a preset rule engine, the physical parameters are judged through the rule engine, and based on the judgment result, the mechanical characteristics of the switch are diagnosed, including:

[0089] When the time curve of the stroke exceeds the upper and lower envelope lines ±3%, one or more of the following states is judged: mechanism transmission component jamming, spring softening, mechanism buffer variation, mechanism cracking.

[0090] Preferably, the mechanical characteristics of the switch are diagnosed, and the diagnosis result includes: abnormal stroke and current abnormal fluctuation;

[0091] When the diagnosis result is that there is an abnormal stroke, the abnormal stroke is marked with a first mark;

[0092] When the diagnosis result is that there is a current abnormal fluctuation, the current abnormal fluctuation is marked with a second mark.

[0093] When the detection result is visually displayed:

[0094] The abnormal stroke interval is highlighted in red.

[0095] Abnormal current fluctuation is marked with a blue flashing area;

[0096] The attention value, abnormal value and serious value of s(T10), s(T2), s(T32) and s(I3) are marked with yellow highlight, blue highlight and red highlight respectively.

[0097] The present application is displayed on the tester screen, including:

[0098] Original curve: stroke, current double-Y axis graph.

[0099] Diagnosis mark: abnormal stroke interval is marked with red highlight;

[0100] Abnormal current fluctuation is marked with a blue flashing area;

[0101] The attention value, abnormal value and serious value of s(T10), s(T2), s(T32) and s(I3) are marked with yellow highlight, blue highlight and red highlight respectively.

[0102] Conclusion board: contains a table of key parameters and diagnostic recommendations.

[0103] Figure 4 A structure diagram of an embedded switch mechanical characteristic curve real-time analysis system according to a preferred embodiment of the present application.

[0104] As Figure 4 shown, the present application provides an embedded switch mechanical characteristic curve real-time analysis system, which includes:

[0105] An initial unit 401 is configured to perform a mechanical characteristic test on a switch to be tested, and obtain a time curve of stroke and coil current of switch action based on a preset sampling rate;

[0106] An extraction unit 402 is configured to extract physical parameters for judging mechanical characteristics of the switch based on the time curve;

[0107] A result unit 403 is configured to input the physical parameters into a preset rule engine, judge the physical parameters through the rule engine, and diagnose mechanical characteristics of the switch based on a judgment result.

[0108] Preferably, the extraction unit 402 is further configured to:

[0109] Identify inflection points of the time curve, the inflection points including: a current starting point T0, a first current peak point T1, a first current valley point T2, a current falling point T3 after the valley, and a current average value I3;

[0110] The physical parameters include:

[0111] a first time difference T10 between the first peak point T1 of the current and the starting point T0 of the current, T10 = T1 - T0;

[0112] a second time difference T32 between the falling point T3 of the current after the trough and the first trough point T2 of the current, T32 = T3 - T2;

[0113] a third time difference T21 between the first trough point T2 of the current and the first peak point T1 of the current, T21 = T2 - T1.

[0114] Preferably, the result unit 403 is configured to input the physical parameters into a preset rule engine, judge the physical parameters by the rule engine, and diagnose the mechanical characteristics of the switch based on the judgment result, including:

[0115] calculate a first difference ratio of the first time difference T10 and a corresponding original first time difference value, when the first difference ratio is greater than 30%, judge that the coil jamming state is serious; when the first difference ratio is between 20% and 30%, judge that the coil jamming state is abnormal; when the first difference ratio is between 10% and 20%, judge that the coil jamming state is attention;

[0116] calculate a second difference ratio of the first trough point T2 of the current and a corresponding original first trough point value of the current, when the second difference ratio is greater than 30%, judge that the coil core gap variation or coil jamming state is serious; when the second difference ratio is between 20% and 30%, judge that the coil core gap variation or coil jamming state is abnormal; when the second difference ratio is between 10% and 20%, judge that the coil core gap variation or coil jamming state is attention;

[0117] calculate a third difference ratio of the second time difference T32 and a corresponding original second time difference value, when the third difference ratio is greater than 30%, judge that the coil turn-to-turn short circuit state is serious; when the third difference ratio is between 20% and 30%, judge that the coil turn-to-turn short circuit state is abnormal; when the third difference ratio is between 10% and 20%, judge that the coil turn-to-turn short circuit state is attention;

[0118] calculate a fourth difference ratio of the average current I3 and a corresponding original average current value, when the fourth difference ratio is greater than 30%, judge that the spring fatigue, mechanism jamming or transmission component lubrication state is serious; when the fourth difference ratio is between 20% and 30%, judge that the spring fatigue, mechanism jamming or transmission component lubrication state is abnormal; when the fourth difference ratio is between 10% and 20%, judge that the spring fatigue, mechanism jamming or transmission component lubrication state is attention.

[0119] Preferably, the result unit 403 is configured to input the physical parameters into a preset rule engine, judge the physical parameters by the rule engine, diagnose the mechanical characteristics of the switch based on the judgment result, and further configured to:

[0120] When the time curve of the stroke exceeds the upper and lower envelope lines by 3%, one or more of the following states is determined: mechanism transmission component jamming, spring softening, mechanism buffer variation, and mechanism cracking.

[0121] Preferably, the result unit 403 is configured to diagnose the mechanical characteristics of the switch, and the diagnosis result includes: abnormal stroke and current abnormal fluctuation.

[0122] When the diagnosis result is that there is an abnormal stroke, the abnormal stroke is marked with a first identifier.

[0123] When the diagnosis result is that there is a current abnormal fluctuation, the current abnormal fluctuation is marked with a second identifier.

[0124] The embedded switch mechanical characteristic curve real-time analysis system of the preferred embodiment of the present application corresponds to the embedded switch mechanical characteristic curve real-time analysis method of the preferred embodiment of the present application, and will not be described here.

[0125] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program code. The solutions in the embodiments of the present application can be implemented in various computer languages, such as object-oriented programming language Java and interpreted scripting language JavaScript.

[0126] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device that implements the functions specified in the flowcharts and / or block diagrams. Figure 1 The device that implements the functions specified in one or more flows and / or blocks. Figure 1 The device that implements the functions specified in one or more flows and / or blocks.

[0127] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the Figure 1 function specified in the flow or flows and / or blocks Figure 1 of the block or blocks.

[0128] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the function specified in the flow or flows and / or blocks Figure 1 function specified in the flow or flows and / or blocks Figure 1 of the block or blocks.

[0129] While the preferred embodiments of the application have been described, additional variations and modifications can be made to the embodiments by those of skill in the art once they have the benefit of the present disclosure without departing from the spirit and scope of the application. Accordingly, the appended claims are intended to encompass within their scope all such variations and modifications as are within the scope of the application.

[0130] It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application cover the modifications and variations of this application provided they come within the scope of the appended claims and their equivalents.

[0131] The application has been described by reference to several embodiments. However, as will be apparent to those skilled in the art in light of the disclosure, the application is capable of additional embodiments and adaptations without departing from the spirit and scope of the application. Accordingly, the appended claims are intended to encompass all such embodiments and adaptations without limitation.

[0132] Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise herein. All references to "a" or "an" means "at least one" or "one or more" unless otherwise indicated by the context. Any step which is described as being "optional" is also to be interpreted as "optional", meaning that it can or can not be performed, and that the step can not have any effect upon the final result of a process. The steps of any methods disclosed herein do not have to be performed in the exact order disclosed unless explicitly stated as such.

Claims

1. A method for real-time analysis of mechanical characteristic curves of an embedded switch, the method comprising: Perform mechanical characteristic tests on the switch to be tested, and obtain the time curve of the switch action stroke and coil current based on the preset sampling rate; Extracting physical parameters for determining mechanical characteristics of the switch based on the time curve; The physical parameters are input into a preset rule engine, and the physical parameters are judged by the rule engine; based on the judgment result, the mechanical characteristics of the switch are diagnosed.

2. The method according to claim 1, wherein extracting physical parameters for determining the mechanical characteristics of the switch based on the time curve comprises: Identify the inflection points of the time curve, wherein the inflection points include: the current starting point T0, the first current peak point T1, the first current trough point T2, the current drop point T3 after the trough, and the current average value I3; The physical parameters include: A first time difference T10 between the first current peak point T1 and the current starting point T0, T10 = T1 - T0; a second time difference T32 between the current drop point T3 after the current trough and the first current trough point T2, T32 = T3 - T2; A third time difference T21 between the first current trough point T2 and the first current peak point T1 is as follows: T21=T2-T1.

3. The method according to claim 1, wherein the physical parameters are input into a preset rule engine, the physical parameters are judged by the rule engine, and the mechanical characteristics of the switch are diagnosed based on the judgment result, comprising: Calculating a first difference ratio between the first time difference value T10 and the corresponding original first time difference value; when the first difference ratio is greater than 30%, determining that the coil jam state is severe; and when the first difference ratio is between 20% and 30%, determining that the coil jam state is abnormal; When the first difference ratio is between 10% and 20%, the coil jam state is determined to be a warning state; Calculating a second difference ratio between the first trough point T2 of the current and the first trough point value of the corresponding original current; when the second difference ratio is greater than 30%, determining that the coil core gap variation or the coil stuck state is severe; when the second difference ratio is between 20% and 30%, determining that the coil core gap variation or the coil stuck state is abnormal; When the second difference ratio is between 10% and 20%, it is determined that the coil core gap variation or the coil jam state is a warning state; calculating a third difference ratio between the second time difference value T32 and the corresponding original second time difference value, and determining that the coil turn-to-turn short circuit state is severe when the third difference ratio is greater than 30%; determining that the coil turn-to-turn short circuit state is abnormal when the third difference ratio is between 20% and 30%; and determining that the coil turn-to-turn short circuit state is cautionary when the third difference ratio is between 10% and 20%; Calculate a fourth difference ratio between the current average value I3 and the corresponding original current average value. When the fourth difference ratio is greater than 30%, judge that spring fatigue, mechanism jamming, or lubrication status of transmission components is serious; when the fourth difference ratio is between 20% and 30%, judge that spring fatigue, mechanism jamming, or lubrication status of transmission components is abnormal; when the fourth difference ratio is between 10% and 20%, judge that spring fatigue, mechanism jamming, or lubrication status of transmission components is cautionary.

4. The method according to claim 1, wherein the physical parameters are input into a preset rule engine, the physical parameters are judged by the rule engine, and the mechanical characteristics of the switch are diagnosed based on the judgment result, comprising: When the time curve of the stroke exceeds the upper and lower envelopes by ±3%, it is judged to be one or more of the following conditions: jamming of the mechanism transmission parts, weakness of the spring, variation of the mechanism buffer, and cracking of the mechanism.

5. The method according to claim 1 , wherein the mechanical characteristics of the switch are diagnosed, and the diagnosis results include: Abnormal stroke and abnormal current fluctuation; When the diagnosis result shows that there is an abnormal trip, the abnormal trip is marked with a first identifier; When the diagnosis result shows that abnormal current fluctuation exists, the abnormal current fluctuation is marked with a second identifier.

6. A real-time analysis system for an embedded switch mechanical characteristic curve, the system comprising: The initialization unit is used to perform mechanical characteristic tests on the switch to be tested, and obtain the time curve of the switch action stroke and coil current based on a preset sampling rate; an extraction unit, configured to extract physical parameters for determining mechanical characteristics of the switch based on the time curve; The result unit is used to input the physical parameters into a preset rule engine, judge the physical parameters through the rule engine, and diagnose the mechanical characteristics of the switch based on the judgment result.

7. The system according to claim 6, wherein the extraction unit is configured to extract physical parameters for determining mechanical characteristics of the switch based on the time curve, and is further configured to: Identifying an inflection point of the time curve, wherein the inflection point includes: The starting point of the current is T0, the first peak point of the current is T1, the first trough point of the current is T2, the current drop point after the trough is T3, and the average current value is I3; The physical parameters include: A first time difference T10 between the first current peak point T1 and the current starting point T0, T10 = T1 - T0; a second time difference T32 between the current drop point T3 after the current trough and the first current trough point T2, T32 = T3 - T2; A third time difference T21 between the first current trough point T2 and the first current peak point T1 is as follows: T21=T2-T1.

8. The system according to claim 7, wherein the physical parameters are input into a preset rule engine, the physical parameters are judged by the rule engine, and the mechanical characteristics of the switch are diagnosed based on the judgment result, including: Calculating a first difference ratio between the first time difference value T10 and the corresponding original first time difference value; when the first difference ratio is greater than 30%, determining that the coil jam state is severe; and when the first difference ratio is between 20% and 30%, determining that the coil jam state is abnormal; When the first difference ratio is between 10% and 20%, the coil jam state is determined to be a warning state; Calculating a second difference ratio between the first trough point T2 of the current and the first trough point value of the corresponding original current; when the second difference ratio is greater than 30%, determining that the coil core gap variation or the coil stuck state is severe; when the second difference ratio is between 20% and 30%, determining that the coil core gap variation or the coil stuck state is abnormal; When the second difference ratio is between 10% and 20%, it is determined that the coil core gap variation or the coil jam state is a warning state; calculating a third difference ratio between the second time difference value T32 and the corresponding original second time difference value, and determining that the coil turn-to-turn short circuit state is severe when the third difference ratio is greater than 30%; determining that the coil turn-to-turn short circuit state is abnormal when the third difference ratio is between 20% and 30%; and determining that the coil turn-to-turn short circuit state is cautionary when the third difference ratio is between 10% and 20%; Calculate a fourth difference ratio between the current average value I3 and the corresponding original current average value. When the fourth difference ratio is greater than 30%, judge that spring fatigue, mechanism jamming, or lubrication status of transmission components is serious; when the fourth difference ratio is between 20% and 30%, judge that spring fatigue, mechanism jamming, or lubrication status of transmission components is abnormal; when the fourth difference ratio is between 10% and 20%, judge that spring fatigue, mechanism jamming, or lubrication status of transmission components is cautionary.

9. The system according to claim 6, wherein the result unit is configured to input the physical parameters into a preset rule engine, determine the physical parameters by the rule engine, and diagnose the mechanical characteristics of the switch based on the determination result, and further configured to: When the time curve of the stroke exceeds the upper and lower envelopes by ±3%, it is judged to be one or more of the following conditions: jamming of the mechanism transmission parts, weakness of the spring, variation of the mechanism buffer, and cracking of the mechanism.

10. The system according to claim 6, wherein the result unit is used to diagnose the mechanical characteristics of the switch, and the diagnosis result includes: Abnormal stroke and abnormal current fluctuation; When the diagnosis result shows that there is an abnormal trip, the abnormal trip is marked with a first identifier; When the diagnosis result shows that abnormal current fluctuation exists, the abnormal current fluctuation is marked with a second identifier.

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