Transformer substation cable support stability monitoring method based on Internet of Things technology

Abstract

The invention discloses a transformer substation cable support stability monitoring method based on the Internet of Things technology, and relates to the technical field of the Internet of Things. The method comprises the following steps: determining a key connection part corresponding to a transformer substation cable bracket, and collecting cable bracket stability data corresponding to the key connection part; obtaining a vibration frequency data set corresponding to the key connection part, and constructing a vibration frequency data set generation mechanism; obtaining a part grade corresponding to each key connection part according to a vibration frequency data set generation mechanism; each key connection part generates a corresponding key connection part node, and a transformer substation cable bracket stability model is constructed; non-early-warning key connection part stability values of all key connection parts corresponding to the part grades are obtained based on a transformer substation cable support stability model, pre-judgment time corresponding to non-early-warning nodes is obtained, and then the deformation degree corresponding to the transformer substation cable support is obtained; and the judgment accuracy of the stability of the cable bracket of the transformer substation is effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of the Internet of Things, and specifically to a method for monitoring the stability of substation cable brackets based on Internet of Things technology. Background Art

[0002] Substation cable brackets are devices used to support cables in substations. Their types include angle steel brackets, channel steel brackets, and composite material brackets. Their fixed positions and application environments are different, and their main functions are to support cables, fix the positions of cables, isolate cables, facilitate heat dissipation, etc. The stability of substation cable brackets is affected by various factors. For example, load factors, environmental factors, fixed construction factors, material structure factors, and so on. Due to these factors, the stability of substation cable brackets will be affected. For example, the brackets may deform, be damaged and bent, etc. However, in the prior art, usually sensors are set to obtain the angles, vibrations, etc. of the current substation cable brackets as judgment conditions, but this method is affected by various factors. For example, the sensors have instability of monitoring data and singularity of judgment conditions. Therefore, in order to solve the above problems, the present invention provides a method for monitoring the stability of substation cable brackets based on Internet of Things technology. Summary of the Invention

[0003] In order to solve the above technical problems, the present invention provides a method for monitoring the stability of substation cable brackets based on Internet of Things technology;

[0004] The object of the present invention can be achieved by the following technical solutions: A method for monitoring the stability of substation cable brackets based on Internet of Things technology, the method includes the following steps:

[0005] Step S1: Determine the key connection parts corresponding to the substation cable brackets, and set the acquisition time period. According to the acquisition time period, collect the cable bracket stability data corresponding to the key connection parts; the cable bracket stability data includes vibration frequency, offset angle, and corrosion degree;

[0006] Step S2: Obtain the vibration frequency data set corresponding to the key connection parts according to the vibration frequency, and construct a vibration frequency data set generation mechanism; and then obtain the part levels corresponding to each key connection part according to the vibration frequency data set generation mechanism;

[0007] Step S3: Generate corresponding key connection part nodes for each key connection part according to the part level, and construct a substation cable bracket stability model according to the key connection part nodes; and then process each key connection part corresponding to the part level based on the substation cable bracket stability model to obtain the corresponding stable values of the key connection parts without early warning;

[0008] Step S4: predict the nodes without warning according to the stability value of the key connection parts without warning and obtain the prediction time, and then obtain the corresponding deformation degree of the substation cable support based on the stability model of the substation cable support.

[0009] Furthermore, the construction process of the vibration frequency data set generation mechanism includes:

[0010] The acquisition time period includes a plurality of acquisition time points; according to the first acquisition time period, the vibration frequencies collected at each acquisition time point are integrated to generate the first vibration frequency data set; the acquisition time period interval is set to separate the acquisition time periods; according to the acquisition time period interval, the nth vibration frequency data set is obtained, wherein n=2, 3, ..., m, and m is a positive integer greater than or equal to 2;

[0011] The maximum value and mode corresponding to the first vibration frequency data set are obtained, and marked as the maximum vibration frequency and the vibration frequency mode respectively; the maximum vibration frequency is compared with the preset maximum vibration frequency: if the maximum vibration frequency is greater than the maximum vibration frequency threshold, the part level of the corresponding key connection part is marked as a first-level key connection part to be warned;

[0012] Otherwise, it is determined whether there is a vibration frequency mode: if there is a vibration frequency mode, it is compared with the preset vibration frequency mode threshold. If it is greater than the vibration frequency mode threshold, the part level of the corresponding key connection part is marked as a second-level critical connection part to be warned; if it is less than the vibration frequency mode threshold, the second vibration frequency data set is obtained according to the collection time period; if there is no vibration frequency mode, the operation is stopped; and a vibration frequency data set generation mechanism is constructed.

[0013] Furthermore, the process of obtaining the part level includes:

[0014] The second vibration frequency data set is cyclically judged according to the vibration frequency data set generation mechanism. If a first-level critical connection part to be warned or a second-level critical connection part to be warned is obtained, the operation is stopped; otherwise, the vibration frequency mode corresponding to the second vibration frequency data set is compared with the vibration frequency mode corresponding to the first vibration frequency data set. If they are different, the operation is stopped; if they are the same, the second vibration frequency data set obtains the next vibration frequency data set according to the vibration frequency data set generation mechanism, and so on, until the vibration frequency mode corresponding to the nth vibration frequency data set is different from the vibration frequency mode corresponding to the first vibration frequency data set, then the operation is stopped, and the n+1th vibration frequency data set is marked as the first vibration frequency data set, and then the part level of the corresponding critical connection part is marked as the third-level critical connection part to be warned.

[0015] Further, the construction process of the stability model of the substation cable support includes:

[0016] Based on digital twins, generate a corresponding support twin model for the substation cable support, map the nodes of each key connection part on the support twin model, and map the cable support stability data on the corresponding key connection part nodes; obtain the maximum displacement of the key connection part nodes corresponding to the third-level key connection parts to be warned, connect and extract adjacent key connection part nodes, and then construct the stability model of the substation cable support.

[0017] Further, the process of obtaining the maximum displacement includes:

[0018] Obtain the acquisition time points of the mode values of each vibration frequency corresponding to the key connection part nodes of the third-level key connection parts to be warned, and obtain the maximum value of the offset angle corresponding to the acquisition time points in the range of (0, 90°), which is marked as the maximum offset angle; set the unit displacement corresponding to the offset angle in the gravity direction, and obtain the maximum displacement of the key connection part nodes corresponding to the third-level key connection parts to be warned according to the maximum offset angle and the unit displacement;

[0019] That is, the specific formula is:

[0020] maxγ3 = rtanθ;

[0021] Among them, maxγ3 represents the maximum displacement of the key connection part nodes corresponding to the third-level key connection parts to be warned; r represents the unit displacement, and its value is a natural number greater than 0; θ represents the maximum offset angle, and

[0022] Further, the process of obtaining the stability value of the key connection parts without warning includes:

[0023] Set the maximum displacement threshold; then judge whether the maximum vibration frequency, vibration frequency mode value, and maximum displacement corresponding to the key connection part nodes of the first-level key connection parts to be warned, the second-level key connection parts to be warned, and the third-level key connection parts to be warned exceed 60% of the corresponding maximum vibration frequency threshold, vibration frequency mode value threshold, and maximum displacement threshold respectively:

[0024] If it exceeds, generate a warning node for the corresponding key connection part node; otherwise, generate an unwarned node for the corresponding key connection part node and obtain the corresponding cable support stability data;

[0025] Obtain the unalarmed nodes corresponding to the first-level key connection part nodes to be pre-warned, the second-level key connection part nodes to be pre-warned, and the third-level key connection part nodes to be pre-warned, and obtain the first data set corresponding to the cable support stability data of the unalarmed nodes in the first acquisition time period. Furthermore, obtain the unalarmed key connection part stability value corresponding to the unalarmed nodes according to the corresponding first data set, and map it to the unalarmed nodes in the substation cable support stability model;

[0026] The specific formula is:

[0027]

[0028] Where, i represents the number corresponding to the unalarmed node, i = 1, 2,..., j, and j takes positive integer values; a represents the part level, a = 1, 2, 3; represents the unalarmed key connection part stability value corresponding to the unalarmed node of the a-level key connection part node with the number i; w1, w2, and w3 respectively represent the weights corresponding to the vibration frequency, offset angle, and corrosion degree, and all take natural numbers greater than 0; and respectively represent the average values of the first data set corresponding to the vibration frequency, offset angle, and corrosion degree, and are all greater than 0.

[0029] Furthermore, the process of obtaining the pre-judgment time includes:

[0030] Set the stability value threshold corresponding to the unalarmed node, and compare it with the unalarmed key connection part stability value. If the unalarmed key connection part stability value is greater than the stability value threshold, mark the corresponding unalarmed node as a pre-warned node;

[0031] Conversely, set the corresponding change coefficient according to the interval time of the acquisition time period, and obtain the predicted stability value corresponding to the unalarmed node according to the change coefficient;

[0032] That is, the specific formula is:

[0033]

[0034] Where, represents the predicted stability value corresponding to the unalarmed node of the a-level key connection part node with the number i; k represents the change coefficient, and k > 1;

[0035] Set the predicted stability value threshold corresponding to the unalarmed node, and compare it with the predicted stability value. If the predicted stability value is greater than the predicted stability value threshold, generate a pre-warned node for the unalarmed node;

[0036] Conversely, obtain the number corresponding to the interval time of the acquisition time period according to the predicted stability value threshold;

[0037] That is, the specific formula is:

[0038]

[0039] Among them, g represents the number corresponding to the interval time of the acquisition time period; represents the predicted stability value threshold; "[]" represents taking the integer part;

[0040] Obtain the corresponding acquisition time period according to the number corresponding to the interval time of the acquisition time period, and mark it as the predicted time.

[0041] Furthermore, the process of obtaining the deformation degree includes;

[0042] Based on the substation cable support stability model, the offset angles corresponding to each warning node are simulated and offset. The substation cable support stability model generates a substation cable support offset model and sends it to the relevant management terminal for display, so as to intuitively display the corresponding deformation degree of the substation cable support.

[0043] Compared with the prior art, the beneficial effects of the present invention are:

[0044] 1. By determining the key connection parts corresponding to the substation cable supports, setting the acquisition time period, and collecting the cable support stability data corresponding to the key connection parts according to the acquisition time period; the cable support stability data includes vibration frequency, offset angle, and corrosion degree; obtaining the vibration frequency data set corresponding to the key connection parts according to the vibration frequency, and constructing a vibration frequency data set generation mechanism; and then obtaining the part grades corresponding to each key connection part according to the vibration frequency data set generation mechanism; effectively improving the accuracy of the substation cable support stability determination.

[0045] 2. By generating corresponding key connection part nodes for each key connection part according to the part grade, and constructing a substation cable support stability model according to the key connection part nodes; then processing each key connection part corresponding to the part grade based on the substation cable support stability model to obtain the corresponding stable value of the un - warned key connection part; predicting the un - warned nodes according to the stable value of the un - warned key connection part and obtaining the predicted time, and then obtaining the corresponding deformation degree of the substation cable support based on the substation cable support stability model; effectively predicting the time when the stability of the substation cable support changes. Description of the Drawings

[0046] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the accompanying drawings required for use in the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other accompanying drawings can also be obtained based on these drawings.

[0047] Figure 1 It is a flowchart of the present invention.

[0048] Figure 2 It is a flowchart for constructing a vibration frequency dataset generation mechanism. Detailed implementation manners

[0049] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0050] As Figure 1 shown, a method for monitoring the stability of a substation cable bracket based on the Internet of Things technology, the method includes the following steps:

[0051] Step S1: Determine the key connection parts corresponding to the substation cable bracket, and set the acquisition time period, and collect the cable bracket stability data corresponding to the key connection parts according to the acquisition time period; the cable bracket stability data includes vibration frequency, offset angle, and corrosion degree;

[0052] The acquisition process of the cable bracket stability data includes:

[0053] The key connection parts include the key connection parts of the cable bracket and the key connection parts for fixing the cable bracket;

[0054] Determine the key connection parts of the cable bracket according to the type of the substation cable bracket, and determine the key connection parts for fixing the cable bracket according to the fixed environment of the substation cable bracket;

[0055] Set an acquisition device at the key connection parts for collecting the cable bracket stability data corresponding to the key connection parts;

[0056] It should be further noted that, in the specific implementation process, the offset angle is used to represent the inclination angle relative to the gravity direction; the acquisition device includes, but is not limited to, strain gauges, inclinometers, etc.; among them, the key connection parts of the cable bracket are determined according to the corresponding type of the substation cable bracket. For example, if the corresponding type of the substation cable bracket is a composite material bracket, the corresponding key connection parts of the cable bracket include, but are not limited to, the connection between the cross beam and the column of the bracket, the bottom, etc.; it should be further noted that the same key connection parts of the cable bracket may exist for different types of substation cable brackets; among them, the position where the substation cable bracket is fixed on the wall is marked as the key connection part of the fixed cable bracket.

[0057] Step S2: Obtain the vibration frequency dataset corresponding to the key connection part according to the vibration frequency, and construct a vibration frequency dataset generation mechanism; and then obtain the part level corresponding to each key connection part according to the vibration frequency dataset generation mechanism.

[0058] As Figure 2 shown, the construction process of the vibration frequency dataset generation mechanism includes:

[0059] The acquisition time period includes several acquisition time points; the vibration frequencies collected at each acquisition time point are integrated according to the first acquisition time period to generate the first vibration frequency dataset; set the interval time of the acquisition time period, which is used to separate two adjacent acquisition time periods; obtain the nth vibration frequency dataset according to the interval time of the acquisition time period, where n = 2, 3,..., m, and m is a positive integer greater than or equal to 2.

[0060] It should be further noted that, in the specific implementation process, the vibration frequency generally does not change suddenly in a short period of time. Therefore, the interval time of the acquisition time period is used to predict that the vibration frequency will change after this interval time of the acquisition time period.

[0061] Obtain the maximum value and the mode of the first vibration frequency dataset, and mark them as the maximum vibration frequency and the vibration frequency mode respectively; compare the maximum vibration frequency with the preset maximum vibration frequency threshold: if the maximum vibration frequency is greater than the maximum vibration frequency threshold, mark the part level of the corresponding key connection part as the first-level key connection part to be pre-warned.

[0062] Otherwise, judge whether there is a vibration frequency mode: if there is a vibration frequency mode, compare it with the preset vibration frequency mode threshold. If it is greater than the vibration frequency mode threshold, mark the part level of the corresponding key connection part as the second-level key connection part to be pre-warned; if it is less than the vibration frequency mode threshold, obtain the second vibration frequency dataset according to the acquisition time period; if there is no vibration frequency mode, stop running; and then construct a vibration frequency dataset generation mechanism.

[0063] The process of obtaining the part level includes:

[0064] The second vibration frequency dataset is cyclically judged according to the vibration frequency dataset generation mechanism. If a first-level key connection part to be pre-warned or a second-level key connection part to be pre-warned is obtained, the operation is stopped; otherwise, the vibration frequency mode corresponding to the second vibration frequency dataset is compared with the vibration frequency mode corresponding to the first vibration frequency dataset. If they are different, the operation is stopped; if they are the same, the second vibration frequency dataset obtains the next vibration frequency dataset according to the vibration frequency dataset generation mechanism, and so on, until the vibration frequency mode corresponding to the nth vibration frequency dataset is different from the vibration frequency mode corresponding to the first vibration frequency dataset, then the operation is stopped, and the (n + 1)th vibration frequency dataset is marked as the first vibration frequency dataset, and further the part level of the corresponding key connection part is marked as a third-level key connection part to be pre-warned.

[0065] In the above embodiment, it should be further noted that the part levels corresponding to each key connection part of the substation cable support are generated according to the vibration frequency; in the above embodiment, the maximum value and the mode of the vibration frequency corresponding to each key connection part are obtained through the acquisition time period and the interval time between acquisition time periods, which solves the deficiency of obtaining abnormal data only by acquiring the vibration frequency at the acquisition time point.

[0066] Step S3: Generate corresponding key connection part nodes for each key connection part according to the part level, and construct a stability model of the substation cable support based on the key connection part nodes; furthermore, based on the stability model of the substation cable support, process each key connection part corresponding to the part level to obtain the corresponding stable value of the key connection part without pre-warning;

[0067] The construction process of the stability model of the substation cable support includes:

[0068] Based on digital twin, the substation cable support is generated into a corresponding support twin model, each key connection part node is mapped on the support twin model, and the cable support stability data is mapped on the corresponding key connection part node; the maximum displacement of the third-level key connection part node to be pre-warned is obtained according to the cable support stability data, and then adjacent key connection part nodes are connected and extracted to construct a stability model of the substation cable support.

[0069] The process of obtaining the maximum displacement includes:

[0070] Obtain the acquisition time points corresponding to the mode values of each vibration frequency of the nodes at the key connection parts of the third-level to-be-early-warning, and obtain the maximum value of the offset angle corresponding to the acquisition time points within the range of (0, 90°), which is marked as the maximum offset angle; set the unit displacement in the direction of gravity corresponding to the offset angle, and obtain the maximum displacement of the nodes at the key connection parts of the third-level to-be-early-warning according to the maximum offset angle and the unit displacement;

[0071] That is, the specific formula is:

[0072] maxγ3 = rtanθ;

[0073] Wherein, maxγ3 represents the maximum displacement of the nodes at the key connection parts of the third-level to-be-early-warning; r represents the unit displacement, and the value is a natural number greater than 0; θ represents the maximum offset angle, and

[0074] In the above embodiment, it should be further noted that the maximum displacement is used to represent the maximum distance in the direction of gravity obtained according to the offset angle.

[0075] The process of obtaining the stability value of the key connection parts without early warning includes:

[0076] Set the maximum displacement threshold; then judge whether the maximum vibration frequency, mode value of vibration frequency, and maximum displacement corresponding to the nodes at the key connection parts of the first-level to-be-early-warning, second-level to-be-early-warning, and third-level to-be-early-warning respectively exceed 60% of the corresponding maximum vibration frequency threshold, mode value threshold of vibration frequency, and maximum displacement threshold;

[0077] If it exceeds, generate an early-warning node for the corresponding key connection part node; otherwise, generate a node without early warning for the corresponding key connection part node, and obtain the stable data of the corresponding cable bracket;

[0078] Obtain the nodes without early warning corresponding to the nodes at the key connection parts of the first-level to-be-early-warning, second-level to-be-early-warning, and third-level to-be-early-warning, and obtain the data set corresponding to the stable data of the cable bracket in the first acquisition time period for the nodes without early warning. Then, obtain the stability value of the corresponding key connection part without early warning according to the corresponding data set, and map it to the nodes without early warning in the stability model of the substation cable bracket;

[0079] The specific formula is:

[0080]

[0081] Wherein, i represents the number corresponding to the node without early warning, i = 1, 2,..., j, and j takes positive integer values; a represents the part level, a = 1, 2, 3; It represents the stability value of the un - warned key connection part corresponding to the un - warned node of the key connection part of level A numbered i; w1, w2, and w3 respectively represent the weights corresponding to the vibration frequency, offset angle, and corrosion degree, and all take natural numbers greater than 0; and respectively represent the average values of the first - time data sets corresponding to the vibration frequency, offset angle, and corrosion degree, and all are greater than 0;

[0082] In the above - mentioned embodiment, it should be further explained that the first - time data set includes the first - time vibration frequency data set, the first - time offset angle data set, and the first - time corrosion degree data set; further, first, according to the vibration frequency data set obtained by the key connection part in the acquisition time period, and obtain the corresponding maximum value and mode, analyze and judge the maximum value and mode to obtain the corresponding part level. Secondly, based on digital twin, generate a bracket twin model for the substation cable bracket, map the corresponding key connection part to generate the corresponding node on the bracket twin model, and then map the corresponding cable bracket stability data, judge the cable bracket stability data on the node corresponding to the part level, obtain the un - warned node, and process the un - warned node to obtain the corresponding stability value of the un - warned key connection part; this process better optimizes the disadvantages of judging stability by a single parameter.

[0083] Step S4: Predict the un - warned node according to the stability value of the un - warned key connection part and obtain the prediction time, and then obtain the corresponding deformation degree of the substation cable bracket based on the substation cable bracket stability model;

[0084] The process of obtaining the prediction time includes:

[0085] Set the stability value threshold corresponding to the un - warned node, and compare it with the stability value of the un - warned key connection part. If the stability value of the un - warned key connection part is greater than the stability value threshold, mark the corresponding un - warned node as a warning node;

[0086] Conversely, set the corresponding change coefficient according to the interval time of the acquisition time period, and obtain the predicted stability value corresponding to the un - warned node according to the change coefficient;

[0087] That is, the specific formula is:

[0088]

[0089] where, represents the predicted stability value corresponding to the un - warned node of the key connection part of level A numbered i; k represents the change coefficient, and k > 1;

[0090] Set the prediction stability value threshold corresponding to the un-alerted node, and compare it with the prediction stability value. If the prediction stability value is greater than the prediction stability value threshold, generate an alerted node from the un-alerted node;

[0091] Conversely, obtain the number corresponding to the acquisition time period interval according to the prediction stability value threshold;

[0092] That is, the specific formula is:

[0093]

[0094] Wherein, g represents the number corresponding to the acquisition time period interval; represents the prediction stability value threshold; "[]" represents taking the integer part;

[0095] Obtain the corresponding acquisition time period according to the number corresponding to the acquisition time period interval, and mark it as the pre-judgment time.

[0096] The process of obtaining the corresponding deformation degree of the substation cable bracket includes;

[0097] Based on the substation cable bracket stability model, simulate the offset angles corresponding to each alerted node, generate a substation cable bracket offset model from the substation cable bracket stability model and send it to the relevant management terminal for display, so as to visually display the corresponding deformation degree of the substation cable bracket.

[0098] The features and exemplary embodiments of various aspects of the present application will be described in detail above. For the purpose of making the objectives, technical solutions and advantages of the present application clearer, the above combines the accompanying drawings and specific embodiments to further describe the present application in detail; it should be understood that the specific embodiments described herein are only intended to explain the present application, rather than limiting the present application; for those skilled in the art, the present application can be implemented without some of these specific details; the above description of the embodiments is only to provide a better understanding of the present application by showing examples of the present application.

[0099] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for monitoring the stability of substation cable brackets based on Internet of Things technology, characterized in that, The method includes the following steps: Step S1: Determine the key connection parts corresponding to the substation cable brackets, set the acquisition time period, and collect the cable bracket stability data corresponding to the key connection parts according to the acquisition time period; the cable bracket stability data includes vibration frequency, offset angle, and corrosion degree; Step S2: Obtain the vibration frequency data set corresponding to the key connection parts according to the vibration frequency, and construct a vibration frequency data set generation mechanism; then obtain the part level corresponding to each key connection part according to the vibration frequency data set generation mechanism; Step S3: Each key connection part generates a corresponding key connection part node according to the part level, and constructs a substation cable bracket stability model according to the key connection part node; then process each key connection part of the part level based on the substation cable bracket stability model to obtain the corresponding stable value of the un-warned key connection part; Step S4: Predict the un-warned node according to the stable value of the un-warned key connection part and obtain the prediction time, and then obtain the deformation degree corresponding to the substation cable bracket based on the substation cable bracket stability model.

2. The method for monitoring the stability of a substation cable support based on Internet of Things technology according to claim 1, wherein The construction process of the vibration frequency data set generation mechanism includes: The acquisition time period includes several acquisition time points; integrate the vibration frequencies collected at each acquisition time point according to the first acquisition time period to generate the first vibration frequency data set; set the interval time of the acquisition time period for separating two adjacent acquisition time periods; obtain the nth vibration frequency data set according to the interval time of the acquisition time period, where n = 2, 3,..., m, and m is a positive integer greater than or equal to 2; Obtain the maximum value and the mode of the first vibration frequency data set, and mark them as the maximum vibration frequency and the vibration frequency mode respectively; compare the maximum vibration frequency with the preset maximum vibration frequency threshold: if the maximum vibration frequency is greater than the maximum vibration frequency threshold, mark the part level of the corresponding key connection part as the first-level key connection part to be warned; Otherwise, judge whether there is a vibration frequency mode: if there is a vibration frequency mode, compare it with the preset vibration frequency mode threshold, if it is greater than the vibration frequency mode threshold, mark the part level of the corresponding key connection part as the second-level key connection part to be warned; if it is less than the vibration frequency mode threshold, obtain the second vibration frequency data set according to the acquisition time period; if there is no vibration frequency mode, stop running; then construct the vibration frequency data set generation mechanism.

3. The method for monitoring the stability of a substation cable support based on Internet of Things technology according to claim 2, wherein The process of obtaining the part level includes: The second vibration frequency dataset is cyclically judged according to the vibration frequency dataset generation mechanism. If a first-level key connection part to be pre-warned or a second-level key connection part to be pre-warned is obtained, the operation is stopped; otherwise, the vibration frequency mode corresponding to the second vibration frequency dataset is compared with the vibration frequency mode corresponding to the first vibration frequency dataset. If they are different, the operation is stopped; if they are the same, the second vibration frequency dataset obtains the next vibration frequency dataset according to the vibration frequency dataset generation mechanism, and so on, until the vibration frequency mode corresponding to the nth vibration frequency dataset is different from the vibration frequency mode corresponding to the first vibration frequency dataset, then the operation is stopped, and the (n + 1)th vibration frequency dataset is marked as the first vibration frequency dataset, and then the part level of the corresponding key connection part is marked as a third-level key connection part to be pre-warned.

4. The method for monitoring the stability of a substation cable support based on Internet of Things technology according to claim 3, characterized in that, The construction process of the substation cable support stability model includes: Based on digital twin, the substation cable support is generated into a corresponding support twin model, each key connection part node is mapped on the support twin model, and the cable support stability data is mapped on the corresponding key connection part node; according to the cable support stability data, the maximum displacement of the third-level key connection part node to be pre-warned is obtained, and adjacent key connection part nodes are connected and extracted, and then the substation cable support stability model is constructed.

5. The method for monitoring the stability of a substation cable bracket based on Internet of Things technology according to claim 4, wherein, The process of obtaining the maximum displacement includes: Obtain the acquisition time points corresponding to the vibration frequency modes of the third-level key connection part nodes to be pre-warned, and obtain the maximum value of the offset angle corresponding to the acquisition time points in the range of (0, 90°), which is marked as the maximum offset angle; set the unit displacement in the gravity direction corresponding to the offset angle, and obtain the maximum displacement of the third-level key connection part nodes according to the maximum offset angle and the unit displacement; That is, the specific formula is: ； Among them, represents the maximum displacement of the key connection part node corresponding to the third-level key connection part to be pre-warned; r represents the unit displacement, and the value is a natural number greater than 0; represents the maximum offset angle, and .

6. The method for monitoring the stability of a substation cable support based on Internet of Things technology according to claim 5, characterized in that, The process of obtaining the stability value of the key connection part without pre-warning includes: Set the maximum displacement threshold; then judge whether the maximum vibration frequency, vibration frequency mode and maximum displacement corresponding to the first-level key connection part node to be pre-warned, the second-level key connection part node to be pre-warned and the third-level key connection part node to be pre-warned exceed 60% of the corresponding maximum vibration frequency threshold, vibration frequency mode threshold and maximum displacement threshold respectively: If it exceeds, generate a warning node for the corresponding key connection part node; otherwise, generate a non-warning node for the corresponding key connection part node and obtain the corresponding cable support stability data; Obtain the non-warning nodes corresponding to the first-level key connection part nodes, the second-level key connection part nodes and the third-level key connection part nodes to be pre-warned, obtain the first dataset corresponding to the cable support stability data of the non-warning nodes in the first acquisition time period, and obtain the average value corresponding to the first dataset respectively. Then, obtain the stability value of the key connection part without pre-warning corresponding to the non-warning nodes according to each average value, and map it to the non-warning nodes corresponding to the substation cable support stability model.

7. The method for monitoring the stability of a substation cable support based on Internet of Things technology according to claim 6, characterized in that, The process of obtaining the pre-judgment time includes: Set the stability value threshold corresponding to the un-alarmed node, and compare it with the stability value of the un-alarmed critical connection part. If the stability value of the un-alarmed critical connection part is greater than the stability value threshold, mark the corresponding un-alarmed node as an alarm node; Otherwise, set the corresponding change coefficient according to the interval time of the acquisition time period, and obtain the predicted stability value corresponding to the un-alarmed node according to the change coefficient; That is, the specific formula is: ； Among them, represents the predicted stability value corresponding to the un - warned node of the key connection part to be warned at level a and numbered i; k represents the change coefficient, and k > 1; Set the predicted stability value threshold corresponding to the un-alarmed node, and compare it with the predicted stability value. If the predicted stability value is greater than the predicted stability value threshold, generate an alarm node for the un-alarmed node; Otherwise, obtain the number corresponding to the interval time of the acquisition time period according to the predicted stability value threshold; That is, the specific formula is: ； where g represents the number corresponding to the interval time of the acquisition time period; represents the predicted stable value threshold; "[]" represents taking the integer part; Obtain the corresponding acquisition time period according to the number corresponding to the interval time of the acquisition time period, and mark it as the predicted time.

8. The method for monitoring the stability of a substation cable support based on Internet of Things technology according to claim 7, wherein The process of obtaining the degree of deformation includes; Based on the substation cable support stability model, simulate the offset angles corresponding to each alarm node, generate a substation cable support offset model from the substation cable support stability model and send it to the relevant management terminal for display, so as to visually display the corresponding degree of deformation of the substation cable support.

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