A risk warning method and system for power grid equipment under natural disasters

Abstract

The present invention discloses a method and system for early warning of risks of power grid equipment under natural disasters. The present invention relates to the technical field of power grid equipment, and solves the problem that abnormal nodes cannot be locked more accurately, which will also increase the construction and maintenance burden of maintenance personnel. The present invention adopts a low-voltage pulse signal to analyze the transmission line associated with the abnormal node, and determines the associated transmission line based on the corresponding abnormal node, and then adopts a pulse low-voltage signal to perform relevant tests on such transmission line. During the test, the corresponding feedback point is locked, and by confirming whether the feedback point and the corresponding abnormal node are the same point, it is determined whether the corresponding abnormal node is truly abnormal, thereby ensuring the comprehensiveness and timeliness of the risk early warning system.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid equipment, and in particular to a method and system for early warning of power grid equipment risks under natural disasters. Background Art

[0002] Grid equipment is an important part of the power system. They can be divided into two categories: primary equipment and secondary equipment. These equipment work together to ensure the safe, stable and efficient operation of the entire process of the power system from power generation to end users. When selecting and using these equipment, their technical parameters, reliability, economy and compatibility with the system need to be considered.

[0003] The application with publication number CN108574341A discloses a disaster prevention power station monitoring and early warning system, including a host, which is respectively connected to an information collection system, a power risk assessment system under natural disasters, and a power safety and stability control system through a network. The information collection system includes a static information collection system and a dynamic information collection system. The static information collection system includes the collection of transmission line design information, transmission line geographical location information, geographical environment information along the line, and disaster relief material storage information. The dynamic information collection system includes the collection of natural disaster measurement and forecast information, transmission line operation information, and real-time traffic information in the disaster area. The power risk assessment system includes a power grid equipment failure assessment system, and the power safety and stability control system includes a power prevention control system, a power emergency control system, and a power restoration control system. The early warning system facilitates the prevention, control, and repair of disasters by power stations.

[0004] During the risk monitoring process of power grid equipment, it is generally determined whether there are relevant abnormalities in the power grid equipment based on the operating parameters of the corresponding power grid equipment. However, the original determination method can only determine whether there are abnormalities in the related lines based on the relevant parameters generated by the corresponding power station. However, this determination method cannot lock the abnormal nodes more accurately, and will also increase the construction and maintenance burden of maintenance personnel. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a method and system for early warning of risks of power grid equipment under natural disasters, which solves the problem that abnormal nodes cannot be locked more accurately and the construction and maintenance burden of maintenance personnel will also be increased.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for early warning of power grid equipment risks under natural disasters, comprising the following steps:

[0007] Monitor the voltage parameters of monitoring points in some power grid areas where natural disasters occur, and identify whether the relevant power grid area belongs to the fluctuation area based on the specific voltage parameters monitored, including:

[0008] A set of monitoring periods T is defined, where T is a preset value, and the maximum voltage parameter Umax and the minimum voltage parameter Umin generated by the monitoring node within the monitoring period T are determined, and the defined voltage parameter intervals generated by different monitoring nodes are calibrated as: [Umin, Umax];

[0009] Determine the maximum voltage parameter or the minimum voltage parameter generated by the corresponding monitoring node under normal weather conditions, thereby determining its standard voltage parameter range [Vmin, Vmax];

[0010] Compare [Umin, Umax] with [Vmin, Vmax]:

[0011] like Then determine its voltage crossover interval, and then determine the relevant proportion value ZB of the voltage crossover interval located at [Umin, Umax]. If ZB≥Y1, no processing is performed. If ZB<Y1, the relevant power grid area is marked as a fluctuation area, where Y1 is a preset value;

[0012] If [Umin, Umax]∈[Vmin, Vmax], no processing is performed;

[0013] The drone is dispatched to obtain the insulator-related images of the corresponding monitoring nodes in the fluctuation area through the drone, and based on the obtained relevant images, the relevant model is generated and processed to determine whether the relevant insulator is abnormal and lock the abnormal node, including:

[0014] Based on the relevant images of the corresponding insulator acquired by the corresponding UAV, a relevant model of the corresponding insulator is generated through the acquired relevant images;

[0015] Based on the comparison between the preset model body and several monomers appearing in the relevant model, the positions of the corresponding insulator monomers in the relevant model are locked and determined one by one. When the coincidence degree between the corresponding monomer and the preset model body exceeds 90%, the insulator monomer is locked. If the coincidence degree between the corresponding monomer and the preset model body does not exceed 90%, it is not locked;

[0016] Arrange the corresponding insulator monomers in the relevant model from top to bottom, determine the lower edge line of the corresponding insulator monomer in the corresponding relevant model, connect the lower edge line of the previous group of insulator monomers with the lower edge line of the next group of insulator monomers, determine a group of pending monomers, confirm the pending monomers corresponding to several adjacent insulator monomers in turn, and identify whether the confirmed pending monomers all overlap:

[0017] If they do not overlap, it means that the corresponding insulator in the relevant model is abnormal, and the node where the relevant model is located is marked as an abnormal node; if several of the pending monomers overlap, it means that the corresponding insulator in the relevant model is normal, and no calibration is performed;

[0018] Based on the determined abnormal node, the transmission line associated with the abnormal node is confirmed, the related associated nodes of the transmission line are locked, and the transmission line is tested with a low-voltage pulse signal to determine whether the test abnormal point is consistent with the abnormal node, so as to determine the real abnormal node; the specific method includes:

[0019] Based on the determined abnormal node, the transmission line associated with it is locked, and the related nodes of the transmission line are determined. Based on the power transmission direction, the first group of related nodes is marked as the initial node, and the other group of related nodes is marked as the final node. The power transmission direction is: initial node-final node;

[0020] A set of low-voltage pulse signals is generated from the initial node and transmitted to the final node through the transmission line. The transmission rate S1 and the initial transmission time point T1 of the low-voltage pulse signal are recorded to confirm whether the final node has received the low-voltage pulse signal:

[0021] If the low-voltage pulse signal can be received, analyze whether its transmission rate changes: determine the specific transmission distance L between the initial node and the final node, use L÷S1=J1 to determine its transmission duration J1, and determine the time difference SC based on the time point of receiving the low-voltage pulse signal and the initial transmission time point T1, and determine whether J1 and SC meet: J1=SC, then no processing is performed, if J1≠SC, then perform subsequent analysis and processing;

[0022] If the low-voltage pulse signal is not received, subsequent analysis and processing are performed;

[0023] Determine whether the initial node receives the reflected pulse signal:

[0024] If the reflected pulse signal is not received, analyze whether J1 and SC satisfy: |J1-SC|≤Y2, where Y2 is a preset value. If so, no processing is performed. If not, an error signal is generated and displayed.

[0025] If a reflected pulse signal is received, the receiving time point T2 and the receiving rate S2 are determined. Based on the initial transmission time point T1 and the receiving time point T2, the time difference is determined: TC = (T2-T1). A set of virtual parameters Q1 is constructed, and the real value of Q1 is determined using: S1×(TC-Q1)=S2×Q1. Based on the determined specific Q1 and the corresponding receiving rate S2, the specific position of the feedback point in the corresponding transmission line is locked.

[0026] Identify whether the feedback point and the determined abnormal node are the same point. If they are the same point, mark the original abnormal node as the real abnormal node and display it; if the feedback point and the determined abnormal node are not the same point, directly generate an error signal for display.

[0027] Preferably, a risk early warning system for power grid equipment under natural disasters includes:

[0028] A monitoring sensor is used to monitor the voltage parameters of the calibrated monitoring points;

[0029] The voltage value processor determines the voltage parameter area of ​​the corresponding power grid area under normal conditions and the voltage parameter interval generated in this monitoring period based on the monitored voltage parameters, and performs comparison processing to identify whether the power grid area is a fluctuation area;

[0030] The image processing end processes the acquired related images, generates the related models corresponding to the corresponding related images, and analyzes the insulator monomers in the related model to determine the pending monomers. By identifying whether several pending monomers are consistent, it is determined whether the insulators in the related model are abnormal, and the abnormal nodes are determined;

[0031] The signal generator generates a low-voltage pulse signal, which is sent from the initial node to the final node. By identifying whether the low-voltage pulse signal generates a reflected pulse signal, it is determined whether there is a feedback node in the transmission line, thereby determining whether the abnormal node is in a real abnormal state.

[0032] The present invention provides a method and system for early warning of power grid equipment risks under natural disasters. Compared with the prior art, it has the following beneficial effects:

[0033] The present invention performs numerical monitoring on the power grid area to determine whether the voltage value of the monitoring node fluctuates, thereby locking the abnormal area, and then confirming different insulator images in the abnormal area, generating a correlation model corresponding to the insulator image, and analyzing the correlation model in turn to determine whether the correlation model is abnormal, thereby locking the abnormal node. This locking method has high accuracy and better efficiency, and can ensure the specific effect of its abnormal situation determination;

[0034] Subsequently, a low-voltage pulse signal is used to analyze the transmission lines associated with the abnormal nodes, and based on the corresponding abnormal nodes, the associated transmission lines are determined. Then, a pulse low-voltage signal is used to perform relevant tests on such transmission lines. During the test, the corresponding feedback point is locked, and by confirming whether the feedback point and the corresponding abnormal node are the same point, it is determined whether the corresponding abnormal node is truly abnormal, thereby ensuring the comprehensiveness and timeliness of this risk warning system. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a schematic diagram of the process of the present invention;

[0036] Figure 2 This is a schematic diagram of abnormal node determination in the present invention. DETAILED DESCRIPTION

[0037] 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.

[0038] Embodiment 1

[0039] See also Figure 1 The present application provides a method for early warning of power grid equipment risks under natural disasters, comprising the following steps:

[0040] 1) Monitor the voltage parameters of monitoring points in some power grid areas where natural disasters occur, and identify whether the relevant power grid area belongs to the fluctuation area based on the specific voltage parameters monitored. External personnel determine the power grid area based on the corresponding natural disasters that occur in real time. Corresponding voltage sensors are set at different monitoring points in the power grid area, and the corresponding voltage sensors monitor the voltage values ​​of the corresponding monitoring points;

[0041] Among them, the specific methods for identifying whether the relevant power grid area belongs to the fluctuation area include:

[0042] Define a set of monitoring periods T, where T is a preset value, and its specific value is determined by the operator based on experience, determine the maximum voltage parameter Umax and the minimum voltage parameter Umin generated by the monitoring node within the monitoring period T, and calibrate the limited voltage parameter interval generated by different monitoring nodes as: [Umin, Umax];

[0043] Determine the maximum voltage parameter or the minimum voltage parameter generated by the corresponding monitoring node under normal weather conditions, thereby determining its standard voltage parameter range [Vmin, Vmax];

[0044] Compare [Umin, Umax] with [Vmin, Vmax]:

[0045] If [Umin, Umax]∈[Vmin, Vmax], no processing is performed;

[0046] like Then determine its voltage crossover interval, and then determine the relevant proportion value ZB of the voltage crossover interval located at [Umin, Umax]. If ZB≥Y1, no processing is performed. If ZB<Y1, the relevant power grid area is marked as a fluctuation area, where Y1 is a preset value, and its specific value is determined by the operator based on experience. For example: if [Umin, Umax]=[2, 8], if [Vmin, Vmax]=[5, 11], then the generated voltage crossover interval is [5, 8], and the relevant proportion value ZB of [5, 8] located at [2, 8]=1 / 2, and ZB<Y1. Since Y1 takes a value of 0.8, it means that this power grid area is affected by natural disasters, so it is necessary to perform relevant processing on this fluctuation area to determine the relevant state of its insulators.

[0047] 2) Dispatching the drone to obtain the insulator-related images of the corresponding monitoring nodes in the fluctuation area through the drone, and generating the relevant model based on the obtained relevant images, and processing the relevant model to determine whether the relevant insulator is abnormal and lock the abnormal node, wherein the specific method of determination includes:

[0048] Combination Figure 2 , based on the relevant images of the corresponding insulators obtained by the corresponding drone, the relevant models of the corresponding insulators are generated through the obtained relevant images (because the relevant images have gradually revealed the specific appearance of the corresponding insulators, based on the specific appearance numerical display, the relevant models of the corresponding insulators can be directly constructed);

[0049] Based on the comparison between the preset model body and several monomers appearing in the relevant model (wherein the preset model body is prepared in advance by the operator according to the basic parameters and is a preset complete insulator model), the positions of the corresponding insulator monomers in the relevant model are locked and determined one by one. When the coincidence between the corresponding monomer and the preset model body exceeds 90%, the insulator monomer is locked. If the coincidence between the corresponding monomer and the preset model body does not exceed 90%, it is not locked;

[0050] Arrange the corresponding insulator monomers in the relevant model from top to bottom, determine the lower edge line of the corresponding insulator monomer in the corresponding relevant model, connect the lower edge line of the previous group of insulator monomers with the lower edge line of the next group of insulator monomers, determine a group of pending monomers, and confirm the pending monomers corresponding to several adjacent insulator monomers in turn (the relevant analysis made here is to identify whether the spacing distances between the adjacent insulators are consistent. If they are consistent, the generated pending monomers are basically consistent. If they are inconsistent, it means that the distance values ​​are inconsistent. Then, when the insulators are arranged, there is an abnormal arrangement, which means that the arrangement of the insulators in this type of relevant model is abnormal, which will affect the corresponding power transmission, and a relevant analysis is required), and identify whether the confirmed pending monomers are all overlapped:

[0051] If they all coincide, it means that the corresponding insulator in this correlation model is normal, and no calibration is performed;

[0052] If they do not coincide, it means that the corresponding insulator in this correlation model is abnormal, and the node where this correlation model is located is marked as an abnormal node.

[0053] Specifically, by using this type of analysis method, it is possible to identify whether there are abnormalities in the relevant insulators in the corresponding model, so as to determine whether the relevant nodes have been affected by natural disasters. It has high recognition accuracy and better efficiency, and can ensure the specific effect of its abnormal situation judgment.

[0054] Embodiment 2

[0055] In the specific implementation process, compared with the above-mentioned embodiment, the specific difference of this embodiment is that this embodiment mainly focuses on the determination of specific abnormal points to determine whether the abnormal nodes have real data abnormalities;

[0056] 3) Based on the determined abnormal node, confirm the transmission line associated with the abnormal node, lock the related nodes of the transmission line, use a low-voltage pulse signal to test the transmission line, determine whether the test abnormal point is consistent with the abnormal node, and determine the real abnormal node. Specifically, when the abnormal node is determined, there is an associated transmission line between the abnormal nodes, that is, the corresponding transport power of the transmission line passes through the abnormal node, and the related cables are interconnected with the corresponding abnormal node, and the power is isolated by the insulator corresponding to the abnormal node;

[0057] The specific methods for determination include:

[0058] Based on the determined abnormal node, the transmission line associated with it is locked, and the related associated nodes of the transmission line are determined (that is, the substations associated with the front and rear ends of the transmission line, and the substations are the corresponding associated nodes, which can generate corresponding low-voltage pulse signals for signal testing). Based on the power transmission direction, the first group of related associated nodes is marked as the initial node, and the other group of related associated nodes is marked as the final node. The power transmission direction is: initial node-final node;

[0059] A set of low-voltage pulse signals is generated from the initial node and transmitted to the final node through the transmission line. The transmission rate S1 and the initial transmission time point T1 of the low-voltage pulse signal are recorded to confirm whether the final node has received the low-voltage pulse signal:

[0060] If the low-voltage pulse signal can be received, analyze whether its transmission rate changes: determine the specific transmission distance L between the initial node and the final node, use L÷S1=J1 to determine its transmission duration J1, and determine the time difference SC based on the time point of receiving the low-voltage pulse signal and the initial transmission time point T1, and determine whether J1 and SC meet: J1=SC, then no processing is performed, if J1≠SC, then perform subsequent analysis and processing;

[0061] If the low-voltage pulse signal is not received, subsequent analysis and processing are performed;

[0062] Determine whether the initial node receives the reflected pulse signal:

[0063] If the reflected pulse signal is not received, then analyze whether J1 and SC satisfy: |J1-SC|≤Y2, where Y2 is a preset value, and its specific value is determined by the operator based on experience. If it is satisfied, no processing is performed. If it is not satisfied, an error signal is generated and displayed (this situation means that there is no abnormal node in the transmission line, and its corresponding signal is not interfered by the corresponding abnormal node, and no corresponding reflected signal is generated. If the corresponding abnormal node is abnormal, the transmitted low-voltage pulse signal will be blocked and a reflected signal will be generated. Where |J1-SC|≤Y2, it means that there is power fluctuation in the power transmission process, but the fluctuation range can be guaranteed. If no reflected signal is generated, and the time difference does not meet the corresponding situation, then the transmission line has related abnormalities when transmitting power, which will generate corresponding error signals. After such error signals are displayed, the operator analyzes the transmission line and abnormal nodes based on the error signals to determine the related abnormalities in the corresponding transmission line);

[0064] If a reflected pulse signal is received, the receiving time point T2 and the receiving rate S2 are determined. Based on the transmission initial time point T1 and the receiving time point T2, the time difference is determined: TC = (T2-T1). A set of virtual parameters Q1 is constructed, and the real value of Q1 is determined using: S1×(TC-Q1) = S2×Q1. Based on the determined specific Q1 and the corresponding receiving rate S2, the specific position of the feedback point in the corresponding transmission line is locked (the corresponding distance parameter can be determined through the time Q1 and the rate S2. Based on the relevant position of the initial point, the specific position of the feedback point can be determined according to its distance parameter);

[0065] Identify whether the feedback point and the determined abnormal node are the same point. If they are the same point, mark the original abnormal node as the real abnormal node and display it. If they are not the same point, directly generate an error signal for display, and the operator intervenes and identifies the specific abnormal situation.

[0066] Specifically, during the normal analysis process, when the corresponding insulator has relevant abnormalities, the power transmission of the corresponding transmission line will be affected or will not be affected. In order to ensure whether the originally determined abnormal node actually affects the power transmission of the transmission line, it is necessary to determine the associated transmission line based on the corresponding abnormal node, and then use a pulse low-voltage signal to perform relevant tests on such transmission lines. During the test, the corresponding feedback point is locked, and by confirming whether the feedback point and the corresponding abnormal node are the same point, it is determined whether the corresponding abnormal node is truly abnormal, thereby ensuring the comprehensiveness and timeliness of this risk warning system.

[0067] Embodiment 3

[0068] A risk early warning system for power grid equipment under natural disasters, comprising:

[0069] A monitoring sensor is used to monitor the voltage parameters of the calibrated monitoring points;

[0070] The voltage value processor determines the voltage parameter area of ​​the corresponding power grid area under normal conditions and the voltage parameter interval generated in this monitoring period based on the monitored voltage parameters, and performs comparison processing to identify whether the power grid area is a fluctuation area;

[0071] The image processing end processes the acquired related images, generates the related models corresponding to the corresponding related images, and analyzes the insulator monomers in the related model to determine the pending monomers. By identifying whether several pending monomers are consistent, it is determined whether the insulators in the related model are abnormal, and the abnormal nodes are determined;

[0072] The signal generator generates a low-voltage pulse signal, which is sent from the initial node to the final node. By identifying whether the low-voltage pulse signal generates a reflected pulse signal, it is determined whether there is a feedback node in the transmission line, thereby determining whether the abnormal node is in a real abnormal state.

[0073] Embodiment 4

[0074] The specific implementation process of this embodiment includes all the implementation processes of the above three groups of embodiments.

[0075] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0076] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for early warning of power grid equipment risks under natural disasters, characterized in that: The following steps are involved: Monitor the voltage parameters of monitoring points in some power grid areas affected by natural disasters, and identify whether the relevant power grid area belongs to the fluctuation area based on the specific voltage parameters monitored; The drone is dispatched to obtain the insulator-related images of the corresponding monitoring nodes in the fluctuation area through the drone, and based on the obtained relevant images, the relevant model is generated and processed to determine whether the relevant insulator is abnormal and lock the abnormal node, including: Based on the relevant images of the corresponding insulator acquired by the corresponding drone, a relevant model of the corresponding insulator is generated through the acquired relevant images; Based on the comparison between the preset model body and several monomers appearing in the relevant model, the positions of the corresponding insulator monomers in the relevant model are locked and determined one by one. When the coincidence degree between the corresponding monomer and the preset model body exceeds 90%, the insulator monomer is locked. If the coincidence degree between the corresponding monomer and the preset model body does not exceed 90%, it is not locked; Arrange the corresponding insulator monomers in the relevant model from top to bottom, determine the lower edge line of the corresponding insulator monomer in the corresponding relevant model, connect the lower edge line of the previous group of insulator monomers with the lower edge line of the next group of insulator monomers, determine a group of pending monomers, confirm the pending monomers corresponding to several adjacent insulator monomers in turn, and identify whether the confirmed pending monomers all overlap: If they do not overlap, it means that the corresponding insulator in this related model is abnormal, and the node where this related model is located is marked as an abnormal node. If several of the pending monomers overlap, it means that the corresponding insulator in this related model is normal, and no calibration is performed; Based on the determined abnormal node, confirm the transmission line associated with the abnormal node, lock the related nodes of the transmission line, use a low-voltage pulse signal to test the transmission line, and determine whether the test abnormal point is consistent with the abnormal node to determine the real abnormal node, including: Based on the determined abnormal node, the transmission line associated with it is locked, and the related nodes of the transmission line are determined. Based on the power transmission direction, the first group of related nodes is marked as the initial node, and the other group of related nodes is marked as the final node. The power transmission direction is: initial node-final node; A set of low-voltage pulse signals is generated from the initial node and transmitted to the final node through the transmission line. The transmission rate S1 and the initial transmission time point T1 of the low-voltage pulse signal are recorded to confirm whether the final node has received the low-voltage pulse signal: If the low-voltage pulse signal can be received, analyze whether its transmission rate changes: determine the specific transmission distance L between the initial node and the final node, use L÷S1=J1 to determine its transmission duration J1, and determine the time difference SC based on the time point of receiving the low-voltage pulse signal and the initial transmission time point T1, and determine whether J1 and SC meet: J1=SC, then no processing is performed, if J1≠SC, then perform subsequent analysis and processing; If the low-voltage pulse signal is not received, subsequent analysis and processing are performed; Determine whether the initial node receives the reflected pulse signal: If the reflected pulse signal is not received, then analyze whether J1 and SC satisfy: |J1-SC|≤Y2, where Y2 is a preset value. If so, no processing is performed. If not, an error signal is generated and displayed. If a reflected pulse signal is received, the receiving time point T2 and the receiving rate S2 are determined. Based on the initial transmission time point T1 and the receiving time point T2, the time difference is determined: TC = (T2-T1). A set of virtual parameters Q1 is constructed, and the real value of Q1 is determined using: S1×(TC-Q1)=S2×Q1. Based on the determined specific Q1 and the corresponding receiving rate S2, the specific position of the feedback point in the corresponding transmission line is locked. Identify whether the feedback point and the determined abnormal node are the same point. If they are the same point, mark the original abnormal node as the real abnormal node and display it. If the feedback point and the determined abnormal node are not the same point, directly generate an error signal for display.

2. The method for early warning of power grid equipment risk under natural disasters according to claim 1, characterized in that: Based on the specific voltage parameters monitored, specific methods for identifying whether the relevant power grid area belongs to the fluctuation area include: A set of monitoring periods T is defined, where T is a preset value, and the maximum voltage parameter Umax and the minimum voltage parameter Umin generated by the monitoring node within the monitoring period T are determined, and the defined voltage parameter intervals generated by different monitoring nodes are calibrated as: [Umin, Umax]; Determine the maximum voltage parameter or the minimum voltage parameter generated by the corresponding monitoring node under normal weather conditions, thereby determining its standard voltage parameter range [Vmin, Vmax]; Compare [Umin, Umax] with [Vmin, Vmax]: like Then determine its voltage crossover interval, and then determine the relevant proportion value ZB of the voltage crossover interval in [Umin, Umax]. If ZB≥Y1, no processing is performed. If ZB<Y1, the relevant power grid area is marked as a fluctuation area, where Y1 is a preset value.

3. The method for early warning of power grid equipment risk under natural disasters according to claim 2 is characterized in that: If [Umin, Umax]∈[Vmin, Vmax], no processing is performed.

4. A risk warning system for power grid equipment under natural disasters, the warning system is operated based on the risk warning method for power grid equipment under natural disasters according to any one of claims 1 to 3, characterized in that: include: A monitoring sensor is used to monitor the voltage parameters of the calibrated monitoring points; The voltage value processor determines the voltage parameter area of ​​the corresponding power grid area under normal conditions and the voltage parameter interval generated in this monitoring period based on the monitored voltage parameters, and performs comparison processing to identify whether the power grid area is a fluctuation area; The image processing end processes the acquired related images, generates the related models corresponding to the corresponding related images, and analyzes the insulator monomers in the related model to determine the pending monomers. By identifying whether several pending monomers are consistent, it is determined whether the insulators in the related model are abnormal, and the abnormal nodes are determined; The signal generator generates a low-voltage pulse signal, which is sent from the initial node to the final node. By identifying whether the low-voltage pulse signal generates a reflected pulse signal, it is determined whether there is a feedback node in the transmission line, thereby determining whether the abnormal node is in a real abnormal state.

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