Intelligent monitoring methods for rapid disconnector switch status diagnosis

Abstract

The present invention relates to the field of current protection technology, and proposes an intelligent monitoring method for fast disconnect switch state diagnosis, including: collecting the current, rotational angular velocity and temperature of a driving motor at different collection times in the working state of the fast disconnect switch; marking the target collection time and the adjacent collection time, determining the current-angular velocity similarity at the target collection time, and obtaining the operating abnormality at the target collection time; obtaining the switch abnormality index at the target collection time according to the current change trend at the target collection time and the adjacent collection time of the target collection time, and the operating abnormality at the target collection time; obtaining the fast disconnect switch state diagnosis result according to the switch abnormality indexes at all collection times collected in the working state of the fast disconnect switch. The present invention aims to solve the problem of insufficient accuracy of the monitoring results of the corrosion and jamming faults of the fast disconnect switch.

Description

Technical Field

[0001] The invention relates to the technical field of current protection, and in particular to an intelligent monitoring method for rapid isolating switch state diagnosis. Background Art

[0002] A fast disconnector is a switching device used to quickly isolate or connect power and load. It can reduce the occurrence of short circuits and overcurrents, protect circuit hardware from damage, and ensure the safe and stable operation of the power system. The fast disconnector has a complex structure, a long working interval, and is directly exposed to the air, and is easily affected by humidity and temperature changes in the external environment. In particular, the transmission mechanism of the fast disconnector is prone to rust and jamming, which affects the normal switching action of the fast disconnector, and is prone to problems such as inadequate contact opening and closing positions, abnormal operating torque, or a sharp increase in operating risks such as contact overheating and insulator breakage.

[0003] In order to avoid the safety risks of fast disconnect switches, it is necessary to diagnose the status of fast disconnect switches in a timely manner. The existing fast disconnect switch status diagnosis method generally determines whether the fast disconnect switch is working normally based on the consistency of the voltage and current change trends. However, when the power grid corresponding to the fast disconnect switch undergoes normal changes such as load changes, the voltage and current change trends will be inconsistent, which can be easily misjudged as a fast disconnect switch failure, affecting the accuracy of the monitoring results of the fast disconnect switch status diagnosis. Summary of the invention

[0004] The present invention provides an intelligent monitoring method for rapid disconnect switch status diagnosis to solve the problem of insufficient accuracy of rapid disconnect switch rust and jam fault monitoring results. The technical solution adopted is as follows:

[0005] An embodiment of the present invention provides an intelligent monitoring method for rapid disconnector status diagnosis, the method comprising the following steps:

[0006] collecting the current, rotational angular velocity and temperature of the driving motor at a second preset number of different collection moments in the working state of the fast isolating switch;

[0007] Record any collection moment as the target collection moment, determine the collection moment adjacent to the target collection moment according to the time interval between the collection moment and the target collection moment, determine the current-angular velocity similarity at the target collection moment according to the similarity between the current and the rotational angular velocity at the collection moment adjacent to the target collection moment, and obtain the operation abnormality degree at the target collection moment according to the rotational angular velocity, current, current-angular velocity similarity at the target collection moment, and the difference between the currents at all collection moments adjacent to the target collection moment;

[0008] Obtaining a switch abnormality index at the target collection time according to a change trend of the current at the target collection time and at a collection time adjacent to the target collection time, and the degree of operation abnormality at the target collection time;

[0009] The rapid isolating switch status diagnosis result is obtained according to the switch abnormality index collected at all collection moments when the rapid isolating switch is in working state.

[0010] Further, the specific method of determining the collection time close to the target collection time includes:

[0011] The first preset number of collection moments closest to the target collection moment are recorded as the adjacent collection moments of the target collection moment.

[0012] Further, the determination of the current-angular velocity similarity at the target acquisition moment includes the following specific methods:

[0013] According to the current at the acquisition time close to the target acquisition time, a local current sequence at the target acquisition time is obtained, and according to the rotation angular velocity at the acquisition time close to the target acquisition time, a local rotation angular velocity sequence at the target acquisition time is obtained;

[0014] The similarity between the local current sequence and the local rotation angular velocity sequence at the target acquisition moment is recorded as the current-angular velocity similarity at the target acquisition moment.

[0015] Further, the method of obtaining a local current sequence at the target acquisition moment according to the current at the acquisition moment adjacent to the target acquisition moment, and obtaining a local rotation angular velocity sequence at the target acquisition moment according to the rotation angular velocity at the acquisition moment adjacent to the target acquisition moment, includes the following specific methods:

[0016] Arrange the normalized values ​​of all currents at the target acquisition time in the order of the acquisition time to obtain the local current sequence at the target acquisition time;

[0017] The normalized values ​​of the rotational angular velocities of all the target acquisition moments adjacent to the target acquisition moment are arranged in the order of the acquisition moments to obtain a local rotational angular velocity sequence of the target acquisition moment.

[0018] Further, the operation abnormality degree at the target acquisition moment is obtained according to the rotation angular velocity, current, current-angular velocity similarity at the target acquisition moment, and the difference between the currents at all adjacent acquisition moments at the target acquisition moment, including the specific method of:

[0019] The product of the information entropy of all currents at the target collection time and the current at the target collection time is recorded as the current abnormality at the target collection time;

[0020] The product of the running abnormality degree and the rotation angular velocity at the target collection time is recorded as the angular velocity change degree at the target collection time;

[0021] The operation abnormality at the target collection time is obtained according to the current abnormality and the angular velocity change at the target collection time.

[0022] Further, the specific method of obtaining the operation abnormality at the target collection time according to the current abnormality and the angular velocity change at the target collection time is as follows:

[0023] The ratio of the current abnormality degree to the angular velocity change degree at the target collection time is recorded as the operation abnormality degree at the target collection time.

[0024] Further, the switch abnormality index at the target acquisition moment is obtained according to the change trend of the current at the target acquisition moment and the acquisition moment adjacent to the target acquisition moment, and the operation abnormality degree at the target acquisition moment, including the specific method of:

[0025] The absolute value of the difference between the temperature at the target collection time and the temperature at the collection time immediately before the target collection time is recorded as the absolute temperature difference at the target collection time, and the ratio of the absolute temperature difference at the target collection time to the temperature at the target collection time is recorded as the temperature change rate at the target collection time;

[0026] The absolute value of the difference between the current at the target acquisition time and the previous adjacent acquisition time of the target acquisition time is recorded as the current absolute difference at the target acquisition time, and the ratio of the current absolute difference at the target acquisition time to the current at the target acquisition time is recorded as the current change rate at the target acquisition time;

[0027] According to the temperature change rate, current change rate and operation abnormality at the target collection time, the switch abnormality index at the target collection time is obtained.

[0028] Further, the switch abnormality index at the target acquisition time is obtained according to the temperature change rate, current change rate and operation abnormality at the target acquisition time, including the specific method of:

[0029] The ratio of the temperature change rate to the current change rate at the target acquisition time is recorded as the first ratio at the target acquisition time;

[0030] According to the first ratio at the target collection time and the operation abnormality degree, the switch abnormality index at the target collection time is obtained.

[0031] Further, the method of obtaining the switch abnormality index at the target collection time according to the first ratio at the target collection time and the operation abnormality degree includes the following specific methods:

[0032] The product of the first ratio at the target collection time and the degree of operation abnormality is recorded as the switch abnormality index at the target collection time.

[0033] Further, the method of obtaining the fast isolating switch status diagnosis result according to the switch abnormality index at all acquisition moments acquired in the working state of the fast isolating switch includes the following specific methods:

[0034] Perform anomaly detection on the switch abnormality index at all acquisition moments, obtain the abnormal value in the switch abnormality index, and record the acquisition moment corresponding to the abnormal value as the abnormal moment of the fast isolation switch;

[0035] When the abnormal moment is identified, it is determined that the working state of the fast isolating switch is abnormal; when the abnormal moment is not identified, it is determined that the working state of the fast isolating switch is normal.

[0036] The beneficial effects of the present invention are:

[0037] According to the characteristic that when the transmission mechanism of the fast disconnect switch is rusted and stuck, the relationship between the current of the driving motor of the fast disconnect switch and the rotational angular velocity of the moving parts of the fast disconnect switch is no longer stable, the current-angular velocity similarity at the target acquisition time is determined, and the current-angular velocity similarity is used to evaluate the stability of the change of the current and the rotational angular velocity, and further combined with the characteristics that the current of the driving motor of the fast disconnect switch fluctuates abnormally and the rotational angular velocity of the moving parts of the fast disconnect switch decreases, the operation abnormality at the target acquisition time is obtained, and the operation abnormality evaluates the possibility of unstable friction resistance at the transmission mechanism position of the fast disconnect switch, that is, the possibility of rust and sticking; further, considering that when the transmission mechanism of the fast disconnect switch is rusted and stuck, the driving motor needs to provide more torque to overcome the mechanical resistance increased by the rust and sticking problem, resulting in the abnormal increase of the temperature of the driving motor, the switch abnormality index at the target acquisition time is obtained, and the switch abnormality index is used to evaluate the possibility of abnormality of the fast disconnect switch; finally, according to the switch abnormality indexes at all acquisition times collected when the fast disconnect switch is in working state, the diagnosis result of the state of the fast disconnect switch is obtained, and the problem of insufficient accuracy of the monitoring result of the rust and sticking fault of the fast disconnect switch is solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0039] Figure 1A schematic flow chart of an intelligent monitoring method for rapid disconnector status diagnosis provided by an embodiment of the present invention;

[0040] Figure 2 A flowchart for obtaining the degree of operational abnormality provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] See also Figure 1 , which shows a flow chart of an intelligent monitoring method for rapid disconnector status diagnosis provided by an embodiment of the present invention, the method comprising the following steps:

[0043] Step S001: collecting the current, rotational angular velocity and temperature of the driving motor at a preset number of different collection moments when the fast isolating switch is in working state.

[0044] When the fast isolating switch is in working state, an ammeter, an angular velocity sensor and a thermometer are used to collect the current, the rotation angular velocity and the temperature of the driving motor of the fast isolating switch at different collection times.

[0045] Preferably, in one embodiment of the present application, when collecting current, angular velocity and temperature data, the data sampling frequency in this embodiment is 45Hz, the number of data collected for the current, angular velocity and temperature of the drive motor is 300, and the number of data collected for the current, angular velocity and temperature of the drive motor is recorded as the second preset number. In actual application, as other implementation methods, the implementer can determine the sampling rate and the number of samples according to actual conditions, and this application does not impose any special restrictions.

[0046] In order to ensure the integrity and continuity of the data, the mean filling method is used to fill the missing data. In the actual application process, as other implementation methods, the implementer can decide the method of filling the missing data according to the actual situation, and this application does not make any special restrictions.

[0047] At this point, the current, rotational angular velocity and temperature of the transmission motor are obtained.

[0048] Step S002: record any collection moment as the target collection moment, determine the collection moment adjacent to the target collection moment according to the time interval between the collection moment and the target collection moment, determine the current-angular velocity similarity at the target collection moment according to the similarity between the current and the rotational angular velocity at the collection moment adjacent to the target collection moment, and obtain the operation abnormality degree at the target collection moment according to the rotational angular velocity, current, current-angular velocity similarity at the target collection moment, and the difference between the currents at all collection moments adjacent to the target collection moment.

[0049] When the transmission mechanism of the fast disconnector is rusted and stuck, it will affect the normal opening and closing process of the fast disconnector, resulting in slow opening and closing response or inadequate opening and closing. Specifically, the position where the transmission mechanism is rusted and stuck will cause the moving parts to bear greater and unstable friction resistance during movement. In order to achieve normal opening and closing operations, the fast disconnector will increase the load of the transmission motor. Since the friction resistance is not stable, the load of the transmission motor will also fluctuate abnormally, and the current of the driving motor of the fast disconnector will also fluctuate abnormally. At the same time, the rotational angular velocity of the moving parts of the fast disconnector will also decrease, and the relationship between the current and the rotational angular velocity will no longer be stable. Therefore, according to the fluctuation of the current and the relationship between the current and the rotational angular velocity, the possibility of rust and jamming problems at each acquisition moment under the working state is determined.

[0050] Each acquisition moment in the working state of the fast disconnector is taken as the target acquisition moment, and the first preset number of acquisition moments closest to the target acquisition moment are recorded as the adjacent acquisition moments of the target acquisition moment. The currents of all the adjacent acquisition moments of the target acquisition moment are arranged in the order of the acquisition moments, and normalized to obtain the local current sequence of the target acquisition moment. The rotational angular velocities of all the adjacent acquisition moments of the target acquisition moment are arranged in the order of the acquisition moments, and normalized to obtain the local rotational angular velocity sequence of the target acquisition moment. The similarity between the local current sequence of the target acquisition moment and the local rotational angular velocity sequence is recorded as the current-angular velocity similarity of the target acquisition moment.

[0051] Preferably, in one embodiment of the present application, the value of the first preset number is 9, and the Pearson correlation coefficient is used as a similarity evaluation method between the local current sequence and the local rotation angular velocity sequence. In actual application, as other implementation methods, the implementer can decide the value of the first preset number according to the actual situation. The implementer can also use other methods in the prior art such as cosine similarity to obtain the similarity between the local current sequence and the local rotation angular velocity sequence. This application does not impose any special restrictions.

[0052] The operation abnormality at the target collection moment is obtained according to the rotation angular velocity, the current, the current-angular velocity similarity at the target collection moment, and the difference between the currents at all adjacent collection moments at the target collection moment.

[0053] Preferably, as an embodiment of the present application, the product of the information entropy of all currents at the target collection moment and the current at the target collection moment is recorded as the current abnormality at the target collection moment; the product of the operation abnormality at the target collection moment and the rotational angular velocity is recorded as the angular velocity change at the target collection moment; the ratio of the current abnormality at the target collection moment to the angular velocity change is recorded as the operation abnormality at the target collection moment.

[0054] In the process of calculating the ratio, in order to avoid the situation where the denominator is zero, a preset value needs to be added to the denominator, and an embodiment of the preset value is 0.01.

[0055] The flowchart for obtaining the operation abnormality is as follows: Figure 2 shown.

[0056] The same method can be used to obtain the operation abnormality degree at each sampling moment in the working state of the fast disconnect switch. Specifically, the calculation formula for the operation abnormality degree at any sampling moment in the working state of the fast disconnect switch is:

[0057] In the formula, Indicates the first The current at each acquisition moment; Indicates the first The information entropy of all currents at adjacent collection times at a collection time; Indicates the first The degree of current anomaly at each acquisition moment; Indicates the first The angular velocity of rotation at each acquisition moment; Indicates the first The current-angular velocity similarity at each acquisition moment; Indicates the first The degree of change of angular velocity at each acquisition moment; represents a parameter adjustment factor, which is used to prevent the denominator from being 0. In this embodiment, the value of the parameter adjustment factor is 0.01; Indicates the first The degree of operational abnormality at each collection moment.

[0058] When the current at the target acquisition moment is larger, and the difference between the currents at all adjacent acquisition moments at the target acquisition moment is larger, the current fluctuations at the adjacent moments of the target acquisition moment are larger, the possibility of unstable friction resistance at the transmission mechanism position of the fast disconnector is larger, the possibility of rust and jamming is larger, and the current abnormality is larger at this time. When the current-angular velocity similarity at the target acquisition moment is smaller, the possibility of the friction resistance at the transmission mechanism position of the fast disconnector causing the angular velocity to decrease is larger, and the possibility of rust and jamming is larger. At the same time, in order to overcome the rust and jamming problem, the current change amplitude of the motor will be significantly larger than the angular velocity change amplitude, so that the current and angular velocity change are not synchronized. Therefore, when the rotation angular velocity at the target acquisition moment and the current-angular velocity similarity are smaller, the possibility of rust and jamming is larger, and the angular velocity change degree is smaller at this time, and the operation abnormality is larger.

[0059] At this point, the operating abnormality degree at any sampling moment in the working state of the fast disconnect switch is obtained.

[0060] Step S003: acquiring a switch abnormality index at the target collection time according to the change trend of the current at the target collection time and the collection time adjacent to the target collection time, and the operation abnormality degree at the target collection time.

[0061] Furthermore, when the transmission mechanism of the fast disconnect switch has a problem of corrosion and jamming, the current of the drive motor of the fast disconnect switch will fluctuate abnormally, and the drive motor needs to provide more torque to overcome the mechanical resistance increased by the corrosion and jamming problem, causing the temperature of the drive motor to rise abnormally. The absolute value of the difference between the temperature at the target acquisition moment and the temperature at the previous adjacent acquisition moment of the target acquisition moment is recorded as the absolute temperature difference at the target acquisition moment, and the ratio of the absolute temperature difference at the target acquisition moment to the temperature at the target acquisition moment is recorded as the temperature change rate at the target acquisition moment. The absolute value of the difference between the current at the target acquisition moment and the current at the previous adjacent acquisition moment of the target acquisition moment is recorded as the current absolute difference at the target acquisition moment, and the ratio of the current absolute difference at the target acquisition moment to the current at the target acquisition moment is recorded as the current change rate at the target acquisition moment.

[0062] It should be noted that for the first acquisition moment when the fast disconnector is in working state, the temperature change rate and the current change rate at the first acquisition moment are both recorded as 0.

[0063] According to the temperature change rate, current change rate and operation abnormality at the target collection time, the switch abnormality index at the target collection time is obtained.

[0064] Preferably, as an embodiment of the present application, the ratio of the temperature change rate to the current change rate at the target acquisition time is recorded as the first ratio at the target acquisition time, and the product of the first ratio at the target acquisition time and the operating abnormality is recorded as the switch abnormality index at the target acquisition time.

[0065] The switch abnormality index at each sampling time in the working state of the fast isolating switch can be obtained in the same way. Specifically, the calculation formula of the switch abnormality index at any sampling time in the working state of the fast isolating switch is: In the formula, Indicates the first The switch abnormality index at each collection moment; Indicates the first The temperature change rate at each acquisition moment; Indicates the first The current change rate at each acquisition moment; Indicates the first The degree of operational abnormality at each collection moment.

[0066] in, Indicates the first The first ratio of the acquisition moments.

[0067] When the temperature change rate at the target collection time is greater than the current change rate, the possibility of abnormal temperature rise in the drive motor is greater. At this time, the possibility of rust and jamming problems is greater. At the same time, when the operation abnormality at the target collection time is greater, the switch abnormality index at the target collection time is greater. At this time, the possibility of abnormality in the fast isolating switch is greater.

[0068] At this point, the switch abnormality index at any sampling time in the working state of the fast disconnect switch is obtained.

[0069] Step S004: Obtain the rapid isolating switch status diagnosis result according to the switch abnormality indexes collected at all collection moments when the rapid isolating switch is in working state.

[0070] Calculate the mean and standard deviation of the switch abnormality index at all acquisition times when the fast disconnect switch is in working state, perform abnormality detection on the switch abnormality index at all acquisition times according to the Laida criterion, and obtain the abnormal value in the switch abnormality index. The acquisition time corresponding to the abnormal value is recorded as the abnormal time of the fast disconnect switch, and the acquisition time when the switch abnormality index is not an abnormal value is recorded as the normal time of the fast disconnect switch.

[0071] Among them, using the Laida criterion to perform anomaly detection and obtain anomaly values ​​is a well-known technology. Specifically, the Laida criterion sets the threshold of anomaly detection to , It represents the average value of the switch abnormality index at all sampling moments when the fast disconnect switch is in working state. It represents the standard deviation of the switch abnormality index at all sampling moments collected in the working state of the fast disconnect switch. or greater than When , the switch abnormality index is an abnormal value.

[0072] Preferably, in one embodiment of the present application, the Laida criterion is used to perform anomaly detection on the switch anomaly index at all acquisition moments. In actual application, as other implementation methods, implementers may use BOCPD (Bayesian Online Changepoint Detection) Bayesian online change point detection algorithm, LOF anomaly detection algorithm and other anomaly detection algorithms to obtain anomalies in the switch anomaly index. This application does not impose any special restrictions.

[0073] When the abnormal moment is identified, it is determined that the working state of the fast isolating switch is abnormal; when the abnormal moment is not identified, it is determined that the working state of the fast isolating switch is normal.

[0074] At this point, the fast disconnect switch status diagnosis result is obtained.

[0075] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent monitoring method for rapid disconnector status diagnosis, characterized in that: The method comprises the following steps: collecting the current, rotational angular velocity and temperature of the driving motor at a second preset number of different collection moments in the working state of the fast isolating switch; Record any collection moment as the target collection moment, determine the collection moment adjacent to the target collection moment according to the time interval between the collection moment and the target collection moment, determine the current-angular velocity similarity at the target collection moment according to the similarity between the current and the rotational angular velocity at the collection moment adjacent to the target collection moment, and obtain the operation abnormality degree at the target collection moment according to the rotational angular velocity, current, current-angular velocity similarity at the target collection moment, and the difference between the currents at all collection moments adjacent to the target collection moment; Obtaining a switch abnormality index at the target collection time according to a change trend of the current at the target collection time and at a collection time adjacent to the target collection time, and the degree of operation abnormality at the target collection time; According to the switch abnormality index collected at all collection moments in the working state of the fast isolating switch, the fast isolating switch status diagnosis result is obtained; The specific method of determining the current-angular velocity similarity at the target acquisition moment includes: According to the current at the acquisition time close to the target acquisition time, a local current sequence at the target acquisition time is obtained, and according to the rotation angular velocity at the acquisition time close to the target acquisition time, a local rotation angular velocity sequence at the target acquisition time is obtained; The similarity between the local current sequence and the local rotation angular velocity sequence at the target acquisition moment is recorded as the current-angular velocity similarity at the target acquisition moment; The specific method of obtaining the operation abnormality at the target acquisition moment according to the rotation angular velocity, current, current-angular velocity similarity at the target acquisition moment, and the difference between the currents at all adjacent acquisition moments at the target acquisition moment is as follows: The product of the information entropy of all currents at the target collection time and the current at the target collection time is recorded as the current abnormality at the target collection time; The product of the running abnormality degree and the rotation angular velocity at the target collection time is recorded as the angular velocity change degree at the target collection time; According to the current abnormality and angular velocity change at the target collection time, the operation abnormality at the target collection time is obtained; The specific method of obtaining the operation abnormality at the target acquisition time according to the current abnormality and the angular velocity change at the target acquisition time is as follows: The ratio of the current abnormality degree to the angular velocity change degree at the target acquisition time is recorded as the operation abnormality degree at the target acquisition time; The specific method of obtaining the switch abnormality index at the target acquisition time according to the change trend of the current at the target acquisition time and the acquisition time adjacent to the target acquisition time, and the operation abnormality degree at the target acquisition time, includes: The absolute value of the difference between the temperature at the target collection time and the temperature at the collection time immediately before the target collection time is recorded as the absolute temperature difference at the target collection time, and the ratio of the absolute temperature difference at the target collection time to the temperature at the target collection time is recorded as the temperature change rate at the target collection time; The absolute value of the difference between the current at the target acquisition time and the previous adjacent acquisition time of the target acquisition time is recorded as the current absolute difference at the target acquisition time, and the ratio of the current absolute difference at the target acquisition time to the current at the target acquisition time is recorded as the current change rate at the target acquisition time; Obtain the switch abnormality index at the target collection time according to the temperature change rate, current change rate and operation abnormality at the target collection time; The specific method of obtaining the switch abnormality index at the target acquisition time according to the temperature change rate, current change rate and operation abnormality at the target acquisition time includes: The ratio of the temperature change rate to the current change rate at the target acquisition time is recorded as the first ratio at the target acquisition time; Obtaining a switch abnormality index at the target collection time according to the first ratio at the target collection time and the operation abnormality degree; The specific method of obtaining the switch abnormality index at the target collection time according to the first ratio at the target collection time and the operation abnormality degree includes: The product of the first ratio at the target collection time and the degree of operation abnormality is recorded as the switch abnormality index at the target collection time.

2. The intelligent monitoring method for rapid disconnector status diagnosis according to claim 1 is characterized in that: The specific method of determining the collection time close to the target collection time includes: The first preset number of collection moments closest to the target collection moment are recorded as the adjacent collection moments of the target collection moment.

3. The intelligent monitoring method for rapid disconnector status diagnosis according to claim 1, characterized in that: The method of obtaining a local current sequence at the target acquisition moment according to the current at the acquisition moment adjacent to the target acquisition moment, and obtaining a local rotation angular velocity sequence at the target acquisition moment according to the rotation angular velocity at the acquisition moment adjacent to the target acquisition moment, includes the following specific methods: Arrange the normalized values ​​of all currents at the target acquisition time in the order of the acquisition time to obtain the local current sequence at the target acquisition time; The normalized values ​​of the rotational angular velocities of all the target acquisition moments adjacent to the target acquisition moment are arranged in the order of the acquisition moments to obtain a local rotational angular velocity sequence of the target acquisition moment.

4. The intelligent monitoring method for rapid disconnector status diagnosis according to claim 1, characterized in that: The specific method of obtaining the fast isolating switch status diagnosis result according to the switch abnormality index collected at all collection moments in the working state of the fast isolating switch is as follows: Perform anomaly detection on the switch abnormality index at all acquisition moments, obtain the abnormal value in the switch abnormality index, and record the acquisition moment corresponding to the abnormal value as the abnormal moment of the fast isolation switch; When the abnormal moment is identified, it is determined that the working state of the fast disconnect switch is abnormal; When no abnormal moment is identified, it is determined that the working state of the fast disconnect switch is normal.

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