A power tower situation monitoring method based on cloud edge network cooperation

Abstract

The application provides a power tower situation monitoring method based on cloud edge-end network cooperation, comprising: collecting and uploading state information of a power tower; analyzing the state information to obtain inclination parameters and settlement displacement parameters of the power tower; testing the settlement displacement parameters, and judging whether the settlement displacement parameters can be used as judgment data based on a test result; feeding back a current state of the power tower based on the settlement displacement parameters and the inclination parameters; updating a concern index based on the current state, external force factors and natural factors; and adjusting an information collection time period according to the concern index.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of tower situation detection, in particular to a power tower situation monitoring method based on cloud edge-end network cooperation. BACKGROUND

[0002] At present, in the prior art, power tower monitoring is mostly carried out by using centralized data processing architecture, that is, all data needs to be uploaded to the cloud for unified processing, which not only increases the burden of data transmission, but also may cause processing delay when facing a large-scale monitoring network, affecting the overall performance of the system, and cannot fully meet the demand of modern power grid for efficient and accurate monitoring. SUMMARY

[0003] The present application aims to at least solve one of the problems in the prior art or related art.

[0004] To this end, the first aspect of the present application provides a power tower situation monitoring method based on cloud edge-end network cooperation.

[0005] Therefore, the first aspect of the present application provides a power tower situation monitoring method based on cloud edge-end network cooperation, comprising: collecting and uploading the state information of the power tower; analyzing the state information to obtain the inclination parameter and the settlement displacement parameter of the power tower; verifying the settlement displacement parameter, and determining whether it can be used as judgment data based on the verification result; feeding back the current state of the power tower based on the settlement displacement parameter and the inclination parameter; updating the attention index based on the current state, external factors and natural factors; and adjusting the information collection time period according to the attention index.

[0006] In addition, the power tower situation monitoring method based on cloud edge-end network cooperation in the above technical solution provided by the present application can have the following additional technical features:

[0007] In some technical solutions of the present application, optionally, analyzing the state information to obtain the inclination parameter and the settlement displacement parameter of the power tower comprises: determining the in-line inclination based on the in-line inclination angle; obtaining the transverse inclination based on the transverse inclination angle; and obtaining the inclination parameter based on the in-line inclination and the transverse inclination; determining the positioning state of the power tower to obtain a first determination result; and processing the state information based on the first determination result.

[0008] In some technical solutions of the present application, optionally, processing the state information based on the first determination result comprises: if the first determination result is normal, obtaining the settlement parameter based on the height of the power tower, obtaining the displacement parameter of the tower based on the preset latitude and longitude of the power tower and the returned latitude and longitude, otherwise, ending the analysis of the state information.

[0009] In some technical solutions of the present application, the settlement displacement parameter is optionally inspected, and whether the settlement displacement parameter can be used as the judgment data of the power tower is determined based on the inspection result, including: selecting a plurality of settlement parameters and displacement parameters in the database as samples, and confirming the mean displacement parameter and the mean settlement parameter; determining whether the absolute values of the displacement parameter and the settlement parameter are less than a first threshold value, if less than the first threshold value, determining that the displacement parameter and the settlement parameter can be used as the judgment data of the power tower, otherwise, the displacement parameter and the settlement parameter are judged again.

[0010] In some technical solutions of the present application, the displacement parameter and the settlement parameter are optionally judged again, including: determining whether the absolute values of the displacement parameter and the mean displacement parameter are less than the first threshold value and the absolute values of the settlement parameter and the mean settlement parameter are less than the first threshold value, if the absolute values of the displacement parameter and the mean displacement parameter and the absolute values of the settlement parameter and the mean settlement parameter are less than the first threshold value, determining that the displacement parameter and the settlement parameter can be used as the judgment data of the power tower.

[0011] In some technical solutions of the present application, the current state of the power tower is optionally fed back based on the settlement displacement parameter and the inclination parameter, including: determining the displacement state of the power tower based on the displacement parameter; determining the settlement state of the power tower based on the settlement parameter; and determining the inclination state of the power tower based on the inclination parameter.

[0012] In some technical solutions of the present application, the attention index is optionally updated based on the current state, the external force factor parameter and the natural factor parameter, including: obtaining the self factor parameter based on the displacement parameter, the settlement parameter and the inclination parameter; and updating the attention index based on the self factor parameter, the external force factor parameter and the natural factor parameter.

[0013] Additional aspects and advantages of the present application will be made apparent from the following description, which, taken in conjunction with the accompanying drawings, that will further illustrate the principles of the present application. BRIEF DESCRIPTION OF DRAWINGS

[0014] The above and / or additional aspects and advantages of the present application will become apparent and be readily understood from the following description, taken in conjunction with the accompanying drawings, in which:

[0015] Figure 1 One of the flowcharts of a power tower situation monitoring method based on cloud edge-end network cooperation according to one embodiment of the present application. DETAILED DESCRIPTION

[0016] In order to enable one skilled in the art to better understand the above-mentioned purposes, features and advantages of the present application, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0017] In the following description, many specific details are set forth in order to provide a thorough understanding of the present application, however, the present application can be practiced in other ways different from those described herein, therefore, the scope of protection of the present application is not limited by the specific embodiments disclosed below.

[0018] The following refers to Figure 1 A power tower situation monitoring method based on cloud edge network cooperation is described according to some embodiments of the present application.

[0019] As Figure 1 shown, the first aspect of the present application provides a power tower situation monitoring method based on cloud edge network cooperation, comprising:

[0020] Step 102, collecting and uploading the state information of the power tower;

[0021] Step 104, analyzing the state information to obtain the inclination parameter and the settlement displacement parameter of the power tower;

[0022] Step 106, verifying the settlement displacement parameter, and determining whether it can be used as judgment data based on the verification result;

[0023] Step 108, feeding back the current state of the power tower based on the settlement displacement parameter and the inclination parameter;

[0024] Step 110, updating the attention index based on the current state, external factors and natural factors;

[0025] Step 112, adjusting the information collection time period according to the attention index.

[0026] The present application provides a power tower situation monitoring method based on cloud edge network cooperation, which realizes detection through mutual cooperation of the cloud monitoring and analysis system, the edge computing device, the Beidou monitoring terminal and the Beidou ground-based augmentation reference network.

[0027] The Beidou monitoring terminal collects the state information of the power tower, and uploads the state information of the power tower to the edge computing device, analyzes the state information through the edge computing device, and further obtains the inclination parameter and the settlement displacement parameter of the power tower. The inclination parameter is used to represent the inclination of the power tower, and the settlement displacement parameter is used to represent the settlement value and displacement value of the power tower. Then, the settlement displacement parameter is tested, and whether it can be used as a judgment data is judged based on the test result. The cloud monitoring and analysis system will feed back the current state of the power tower according to the settlement displacement parameter and the inclination parameter stored in the database.

[0028] Further, according to the current state, the external force factor and the natural factor, the attention index is updated, and on the basis of the attention index, the information collection time period is adjusted.

[0029] The power tower situation monitoring system based on cloud edge end network cooperation integrates the advantages of cloud monitoring, edge computing device, Beidou monitoring terminal and Beidou ground enhancement network, realizes comprehensive, real-time and accurate situation monitoring of the power tower, and improves the intelligent level and response speed of the monitoring.

[0030] Specifically, because the Beidou monitoring terminal uploads the state information of the power tower to the edge computing device, the edge computing device will analyze, preprocess and quality inspect the state information before analyzing the state information of the power tower, so as to facilitate subsequent analysis.

[0031] The specific content of analysis is to convert it into a format that can be processed by the system according to the preset data format and protocol, so as to facilitate subsequent data processing and analysis. The specific content of preprocessing includes data cleaning, outlier processing, format conversion and the like. The quality inspection of the state information is to ensure the accuracy and reliability of the data, and to exclude errors and invalid data.

[0032] Specifically, the state information includes the in-line inclination angle, the transverse inclination angle, the longitude, the latitude, the height and the positioning state of the power tower.

[0033] Further, in some embodiments of the present application, analyzing the state information to obtain the inclination parameter and the settlement displacement parameter of the power tower comprises: determining the in-line inclination based on the in-line inclination angle; obtaining the transverse inclination based on the transverse inclination angle; obtaining the inclination parameter based on the in-line inclination and the transverse inclination; judging the positioning state of the power tower to obtain a first judgment result; and processing the state information based on the first judgment result.

[0034] In this embodiment, the edge computing device determines the line-wise inclination and the transverse inclination of the power tower according to the line-wise tilt angle and the transverse tilt angle in the state information. Then, the inclination parameter is obtained according to the line-wise inclination and the transverse inclination. By extracting the basic state information of the power tower and conducting in-depth analysis, the situation of the power tower can be understood according to the inclination parameter.

[0035] On this basis, the edge computing device judges the positioning state and obtains a first judgment result according to the actual situation. According to the first judgment result, the edge computing device processes the state information correspondingly, thereby improving the efficiency of data processing.

[0036] Specifically, before determining the line-wise inclination based on the line-wise tilt angle, the basic state information in the state information is extracted, wherein the basic state information includes the line-wise tilt angle, the transverse tilt angle, the longitude, the latitude, the height, the positioning state, etc., thereby providing basic data for subsequent calculation and analysis.

[0037] Specifically, the specific algorithm of the line-wise inclination is as follows: wherein, is the line-wise inclination, is the line-wise tilt angle.

[0038] Specifically, the specific algorithm of the transverse inclination is as follows: wherein, is the transverse inclination, is the transverse tilt angle.

[0039] Specifically, the specific algorithm of the inclination parameter is as follows: wherein, is the inclination parameter. Further, in some embodiments of the present application, the state information is processed based on the first judgment result, including: if the first judgment result is normal, obtaining the settlement parameter based on the height of the power tower, obtaining the displacement parameter of the tower based on the preset longitude and latitude of the power tower and the returned longitude and latitude, otherwise, ending the analysis of the state information.

[0040] In this embodiment, the edge computing device checks whether the positioning state is reasonable. The value range of the positioning state is 0 to 6, and different values represent different states. Among them, 0 represents invalid positioning, 1 represents single-point positioning, 2 represents DGNSS, 4 represents RTK fixed solution, 5 represents RTK floating solution, and 6 represents pure inertial navigation positioning. Only when the positioning state is 4, the data collected by the device is valid.

[0041] When the positioning state is 4, it means that the first judgment result is normal, and the settlement parameter can be obtained according to the height of the power tower. Moreover, the displacement parameter of the tower can be obtained by using the preset longitude and latitude of the power tower and the returned longitude and latitude.

[0042] Otherwise, when the positioning state is not 4, it represents that the first judgment result is abnormal, and the edge computing device no longer analyzes the state information.

[0043] Specifically, based on the preset latitude and longitude of the power tower and the backhaul latitude and longitude, the displacement parameter of the tower is obtained, including: based on the preset latitude and longitude of the power tower and the backhaul latitude and longitude, the line displacement and the lateral displacement are obtained; according to the line displacement and the lateral displacement, the displacement parameter is obtained.

[0044] Specifically, the specific algorithm of the settlement parameter is: . Wherein, is the settlement parameter, used to represent the settlement height of the current power tower, is the height of the Beidou monitoring terminal real-time backhaul, is the height of the initial position of the Beidou monitoring terminal device installed on the power tower, It can be obtained by measuring instrument at installation time.

[0045] Specifically, the specific algorithm of the displacement parameter is: . Wherein, is the unique parameter, is the line displacement, is the lateral displacement.

[0046] Wherein, the specific algorithm of the lateral displacement is: The specific algorithm of the line displacement is: . The specific algorithm of the line displacement is: ; The specific algorithm of the line displacement is: ; The specific algorithm of the line displacement is: . Wherein, the initial installation position of the Beidou monitoring terminal is A, and the real-time backhaul position is B. Two tower foundations are M and N respectively. The horizontal coordinates of A point are ( , ), the horizontal coordinates of B point are ( , ), the horizontal coordinates of M point are ( , ), and the horizontal coordinates of N point are ( , ). It should be noted that, , , There is no specific meaning, and the above formula is only for the convenience of observing the formula.

[0047] Further, in some embodiments of the present application, the settlement displacement parameter is inspected, and it is judged whether the settlement displacement parameter can be used as the judgment data of the power tower based on the inspection result, including: selecting a plurality of settlement parameters and displacement parameters in the database as samples, and confirming the mean displacement parameter and the mean settlement parameter; judging whether the absolute value of the displacement parameter and the absolute value of the settlement parameter are less than a first threshold value, if less than the first threshold value, it is determined that the displacement parameter and the settlement parameter can be used as the judgment data of the power tower, otherwise, the displacement parameter and the settlement parameter are judged again.

[0048] In this embodiment, the edge computing device selects a plurality of displacement parameters in the database, and calculates the mean value of the plurality of settlement parameters, that is, the mean displacement parameter; at the same time, a plurality of displacement parameters in the database are selected, and the mean value of the plurality of displacement parameters is calculated, that is, the mean displacement parameter.

[0049] On this basis, it is judged whether the absolute value of the displacement parameter and the absolute value of the settlement parameter are less than a first threshold value, if less than the first threshold value, it is determined that the displacement parameter and the settlement parameter can be used as the judgment data of the power tower, otherwise, the displacement parameter and the settlement parameter are judged again.

[0050] By inspecting the displacement parameter, the error caused by single measurement can be reduced, and the accuracy and reliability of the judgment can be improved.

[0051] Specifically, the edge computing device selects a plurality of parameters closest to the displacement parameter and the settlement parameter uploaded by the Beidou monitoring terminal in the database.

[0052] Further, in some embodiments of the present application, the displacement parameter and the settlement parameter are judged again, including: judging whether the absolute value of the displacement parameter and the mean displacement parameter is less than a first threshold value and whether the absolute value of the settlement parameter and the mean settlement parameter is less than a first threshold value, if the absolute value of the displacement parameter and the mean displacement parameter and the absolute value of the settlement parameter and the mean settlement parameter are less than the first threshold value, it is determined that the displacement parameter and the settlement can be used as the judgment data of the power tower.

[0053] In this embodiment, the edge computing device judges whether the absolute value of the displacement parameter and the mean displacement parameter is less than a first threshold value and whether the absolute value of the settlement parameter and the mean settlement parameter is less than a first threshold value, if the absolute value of the displacement parameter and the mean displacement parameter and the absolute value of the settlement parameter and the mean settlement parameter are less than the first threshold value, it is determined that the displacement parameter and the settlement can be used as the judgment data of the power tower. By judging the data twice, the accuracy and reliability of the judgment are further improved.

[0054] Further, in some embodiments of the present application, the current state of the power tower is fed back based on the settlement displacement parameter and the inclination parameter, including: determining the displacement state of the power tower based on the displacement parameter; determining the settlement state of the power tower based on the settlement parameter; and determining the inclination state of the power tower based on the inclination parameter.

[0055] In this embodiment, the cloud monitoring analysis system determines the displacement state, the settlement state and the inclination state of the power tower according to the displacement parameter, the settlement parameter and the inclination parameter.

[0056] The displacement state of the power tower is determined by the cloud monitoring analysis system whether the absolute values of the displacement parameters in continuous times are greater than a first threshold value. If the absolute values of the displacement parameters are all less than the first threshold value, it means that the displacement state is normal. Otherwise, the cloud monitoring analysis system determines whether the displacement parameters in continuous times are greater than a second threshold value. If the displacement parameters are all greater than the second threshold value, the cloud monitoring analysis system issues an emergency warning of displacement, otherwise, it issues a key attention of displacement.

[0057] The settlement state of the power tower is determined by the cloud monitoring analysis system whether the absolute values of the settlement parameters in continuous times are greater than a first threshold value. If the absolute values of the settlement parameters are all less than the first threshold value, it means that the settlement state is normal. Otherwise, the cloud monitoring analysis system determines whether the settlement parameters in continuous times are less than a third threshold value. If the settlement parameters are all less than the third threshold value, the cloud monitoring analysis system issues an emergency warning of settlement, otherwise, it issues a key attention of settlement.

[0058] The inclination state of the power tower is determined by the cloud monitoring analysis system whether the inclination parameters in continuous times are all greater than a fourth threshold value. If the inclination parameters are all greater than the fourth threshold value, the cloud monitoring analysis system determines whether the inclination parameters in continuous times are all greater than a fifth threshold value. Otherwise, the cloud monitoring analysis system determines that the inclination state is normal. If the inclination parameters are all greater than the fifth threshold value, the cloud monitoring analysis system issues an emergency warning of inclination, otherwise, it issues a key attention of inclination.

[0059] Preferably, the second threshold value and the third threshold value are opposite numbers.

[0060] Further, in some embodiments of the present application, the attention index is updated based on the current state, the external factor parameter and the natural factor parameter, including: obtaining the self factor parameter based on the displacement parameter, the settlement parameter and the inclination parameter; and updating the attention index based on the self factor parameter, the external factor parameter and the natural factor parameter.

[0061] In this embodiment, the cloud monitoring analysis system updates the self factor parameter according to the displacement parameter, the settlement parameter and the inclination parameter, and updates the attention index according to the self factor parameter, the external factor parameter and the natural factor parameter.

[0062] The calculation formula of the attention index is: Wherein, F is the attention index, ranging from 0 to 1. The closer the index value is to 1, the greater the risk, and the monitoring frequency and intensity need to be increased; close to 0 indicates that the risk is small, and the monitoring frequency can be reduced, and the conventional monitoring mode is adopted. , , are the weight coefficients of natural factors, self factors and external force factors respectively. Preferably, The set range is 0.3 to 0.5, The set range is 0.3 to 0.6, The set range is 0.1 to 0.2, and the weight sum is 1. is a natural factor parameter, is a self factor parameter, is an external force factor parameter.

[0063] Specifically, Mainly includes meteorological weather, topographic change and other factors, calculated according to the following standards: meteorological weather parameter ( ) mainly considers the influence of heavy rain, heavy snow and strong typhoon. Preferably, heavy rain ( ) The set range is 0 (no influence) to 0.3 (serious influence), heavy snow ( ) The set range is 0 (no influence) to 0.2 (serious influence), and strong typhoon ( ) The set range is 0 (no influence) to 0.4 (serious influence).

[0064] Wherein, is the calculation formula of .

[0065] Topographic change ( ) mainly judges the adverse geological area, and the set range is 0 (stable) to 0.4 (serious deformation).

[0066] Wherein, is the calculation formula of .

[0067] Wherein, , are the weight coefficients of meteorological weather and topographic change respectively. Preferably, The set range is 0.2 to 0.6, The set range is 0.3 to 0.6, and the weight sum is 1.

[0068] Self factor ( ) The comprehensive score is calculated as follows:

[0069]

[0070] Root decay ( The range is from 0 (no corrosion) to 0.2 (severe corrosion), and the control level is ( The range is 0.1 (low level) to 0.4 (high level), historical data ( The range is from 0 (stable) to 0.5 (frequent anomalies).

[0071] , , These are the weighting coefficients for pole root corrosion, control level, and historical monitoring data of the pole. Preferably, pole root corrosion... =0.2, control level =0.3, historical data of tower monitoring =0.5, and the total weight is 1.

[0072] External factors ( This includes illegal construction and soil extraction / blasting, calculated as follows:

[0073] Illegal construction The scoring range is from 0 (no impact) to 0.4 (serious impact), for soil extraction / blasting. The rating range is 0 (no impact) to 0.3 (serious impact). for The specific calculation method.

[0074] Specifically, based on historical data from the database, displacement parameters, settlement parameters, and tilt parameters are organized into displacement datasets, settlement datasets, and tilt datasets, respectively. On this basis, the displacement datasets, settlement datasets, and tilt datasets are sorted, and the maximum and minimum values ​​of each dataset are selected. Furthermore, the data in each displacement dataset, settlement dataset, and tilt dataset are normalized. The formula for calculating the normalized displacement data is as follows: The formula for calculating the normalized settlement data is as follows: The formula for calculating the normalized skewed data is as follows: .in, The displacement data is normalized. The settlement data is normalized. The data is the normalized skewed data. The displacement data before normalization. Settlement data before normalization The data is the skewed data before normalization. is a minimum value in the settlement data set, is a maximum value in the settlement data set, is a minimum value in the displacement data set, is a maximum value in the displacement data set, is a minimum value in the tilt data set, is a maximum value in the tilt data set.

[0075] In the claims, the specification, and the drawings of the application, terms such as "a", "an" and "the" are not intended to mean only one unless expressly so defined. Similarly, the term "or" is intended to mean either or both of the items listed or any combination of the items. The terms "comprising", "including", "containing", etc. shall be construed as non- limiting terms (i.e. meaning "including, but not limited to"). All methods described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The use of any and all examples, or exemplary language (e.g., "such as") provided herein, is intended merely to better illuminate the application and does not pose a limitation on the scope of the application unless otherwise claimed. No language is such that it will be construed as indicating any non- claimed element as essential to the practice of the application.

[0076] In the claims, the specification, and the drawings of the application, terms such as "a", "an" and "the" are not intended to mean only one unless expressly so defined. Similarly, the term "or" is intended to mean either or both of the items listed or any combination of the items. The terms "comprising", "including", "containing", etc. shall be construed as non- limiting terms (i.e. meaning "including, but not limited to"). All methods described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The use of any and all examples, or exemplary language (e.g., "such as") provided herein, is intended merely to better illuminate the application and does not pose a limitation on the scope of the application unless otherwise claimed. No language is such that it will be construed as indicating any non- claimed element as essential to the practice of the application.

[0077] The application has been described in an above detailed description with reference to certain embodiments. However, it will be apparent to those skilled in the art that many changes can be made in the application without departing from the spirit and scope of the application. Thus, the disclosed embodiments are meant to be illustrative only and not limiting as to the scope of the application. Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. Therefore, the scope of the application should be determined by the appended claims and any equivalents thereof.

Claims

1.A power tower situation monitoring method based on cloud edge network cooperation, characterized in that, The method comprises: collecting and uploading state information of a power tower; analyzing the state information to obtain inclination parameters and settlement displacement parameters of the power tower, comprising: determining the inclination along the line based on the inclination angle along the line; obtaining the transverse inclination based on the transverse inclination angle; obtaining the inclination parameters based on the inclination along the line and the transverse inclination; judging the positioning state of the power tower to obtain a first judgment result; processing the state information based on the first judgment result, comprising: if the first judgment result is normal, obtaining the settlement parameters based on the height of the power tower, and obtaining the displacement parameters of the tower based on the preset latitude and longitude and the backhaul latitude and longitude of the power tower, otherwise, ending the analysis of the state information; verifying the settlement displacement parameters, and determining whether the settlement displacement parameters can be used as judgment data of the power tower based on the verification result, comprising: selecting a plurality of settlement parameters and displacement parameters in the database to determine the mean displacement parameters and the mean settlement parameters; determining whether the absolute values of the displacement parameters and the settlement parameters are less than a first threshold value, if less than the first threshold value, determining that the displacement parameters and the settlement parameters can be used as judgment data of the power tower, otherwise, performing secondary judgment on the displacement parameters and the settlement parameters, comprising: determining whether the absolute values of the displacement parameters and the mean displacement parameters are less than the first threshold value and the absolute values of the settlement parameters and the mean settlement parameters are less than the first threshold value, if the absolute values of the displacement parameters and the mean displacement parameters and the absolute values of the settlement parameters and the mean settlement parameters are less than the first threshold value, determining that the displacement parameters and the settlement can be used as judgment data of the power tower; based on the settlement displacement parameters and the inclination parameters, feeding back the current state of the power tower; updating the attention index based on the current state, external factor parameters and natural factor parameters; adjusting the information collection time period according to the attention index. 2.The power tower situation monitoring method based on cloud edge-end network cooperation according to claim 1, characterized in that, The method comprises: based on the displacement parameters, determining the displacement state of the power tower; based on the settlement parameters, determining the settlement state of the power tower; based on the inclination parameters, determining the inclination state of the power tower. 3.The power tower situation monitoring method based on cloud edge-end network cooperation according to claim 2, characterized in that, The method comprises: based on the displacement parameters, the settlement parameters and the inclination parameters, obtaining self-factor parameters; based on the self-factor parameters, the external factor parameters and the natural factor parameters, updating the attention index.

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