Electric power tower situation monitoring method based on cloud side-end network cooperation

Abstract

The invention provides an electric power tower situation monitoring method based on cloud side-end network cooperation. The method comprises the following steps: collecting and uploading state information of an electric power tower; analyzing the state information, and obtaining an inclination parameter and a settlement displacement parameter of the electric power tower; checking the settlement displacement parameter, and judging whether the settlement displacement parameter can serve as judgment data or not based on a checking result; feeding back the current state of the power tower based on the settlement displacement parameter and the inclination parameter; updating an attention index based on the current state, the external force factor and the natural factor; and adjusting the information acquisition time period according to the attention index.

Description

Technical Field

[0001] The present invention relates to the field of pole tower situation detection, and in particular to a method for monitoring the situation of power pole towers based on cloud-edge-end-network collaboration. Background Art

[0002] At present, in the existing technology, centralized data processing architecture is mostly used for power pole tower monitoring, that is, all data needs to be uploaded to the cloud for unified processing. This not only increases the burden of data transmission, but may also cause processing delays when facing large-scale monitoring networks, affecting the overall performance of the system, and failing to fully meet the needs of modern power grids for efficient and accurate monitoring. Summary of the invention

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

[0004] To this end, the first aspect of the present invention proposes a method for monitoring the status of power towers based on cloud-edge-end-network collaboration.

[0005] In view of this, the first aspect of the present invention provides a method for monitoring the status of power towers based on cloud-edge-end-network collaboration, including: collecting and uploading status information of power towers; analyzing the status information to obtain inclination parameters and settlement displacement parameters of the power towers; testing the settlement displacement parameters, and judging whether they can be used as judgment data based on the test results; based on the settlement displacement parameters and inclination parameters, feeding back the current status of the power towers; updating the attention index based on the current status, external force 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 collaboration in the above technical solution provided by the present invention may also have the following additional technical features: In some technical schemes of the present invention, optionally, the status information is analyzed to obtain the inclination parameters and settlement displacement parameters of the power pole tower, including: determining the inline inclination based on the inline inclination angle; obtaining the lateral inclination based on the lateral inclination angle; obtaining the inclination parameter based on the inline inclination and the lateral inclination; judging the positioning status of the power pole tower to obtain a first judgment result; and processing the status information based on the first judgment result.

[0007] In some technical solutions of the present invention, optionally, the status information is processed based on the first judgment result, including: 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 longitude and latitude and longitude of the power tower and the returned longitude and latitude; otherwise, ending the analysis of the status information.

[0008] In some technical schemes of the present invention, optionally, the settlement displacement parameters are tested, and based on the test results, it is determined whether the settlement displacement parameters can be used as judgment data for power poles and towers, including: selecting a number of settlement parameters and displacement parameters in the database as samples, confirming the mean displacement parameter and the mean settlement parameter; determining whether the absolute value of the displacement parameter and the absolute value of the settlement parameter are both less than a first threshold value, if they are less than the first threshold value, determining that the displacement parameter and the settlement parameter can be used as judgment data for power poles and towers, otherwise, performing a secondary judgment on the displacement parameter and the settlement parameter.

[0009] In some technical schemes of the present invention, optionally, a secondary judgment is performed on the displacement parameter and the settlement parameter, including: judging whether the absolute value of the displacement parameter and the mean displacement parameter is less than a first threshold and whether the absolute value of the settlement parameter and the mean settlement parameter is less than the first threshold; 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 both less than the first threshold, it is determined that the displacement parameter and the settlement can be used as judgment data for the power tower.

[0010] In some technical solutions of the present invention, optionally, the current state of the power tower is fed back based on the settlement displacement parameters and the inclination parameters, including: judging the displacement state of the power tower based on the displacement parameters; judging the settlement state of the power tower based on the settlement parameters; judging the inclination state of the power tower based on the inclination parameters.

[0011] In some technical solutions of the present invention, optionally, the attention index is updated based on the current state, external force factor parameters and natural factor parameters, including: obtaining internal factor parameters based on displacement parameters, settlement parameters and inclination parameters; updating the attention index based on internal factor parameters, external force factor parameters and natural factor parameters.

[0012] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which: Figure 1 This is one of the flow charts of a method for monitoring the status of a power tower based on cloud-edge-end-network collaboration according to an embodiment of the present invention. DETAILED DESCRIPTION

[0014] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with 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.

[0015] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0016] Refer to the following Figure 1 A method for monitoring the status of a power tower based on cloud-edge-end-network collaboration according to some embodiments of the present invention is described.

[0017] like Figure 1 As shown, the first aspect of the present invention provides a method for monitoring power tower status based on cloud-edge-end-network collaboration, including: Step 102, collecting and uploading status information of power towers; Step 104, analyzing the state information to obtain the inclination parameters and settlement displacement parameters of the power tower; Step 106, testing the settlement displacement parameters, and judging whether they can be used as judgment data based on the test results; Step 108, based on the settlement displacement parameter and the inclination parameter, feedback the current state of the power tower; Step 110, updating the attention index based on the current state, external factors and natural factors; Step 112, adjusting the information collection time period according to the attention index.

[0018] The present invention provides a method for monitoring the situation of power towers based on cloud-edge-end-network collaboration, which realizes detection through the cooperation of a cloud-based monitoring and analysis system, an edge computing device, a Beidou monitoring terminal and a Beidou ground-based enhanced reference network.

[0019] Among them, the Beidou monitoring terminal collects the status information of the power pole tower and uploads the status information of the power pole tower to the edge computing device. The edge computing device analyzes the status information and obtains the inclination parameter and settlement displacement parameter of the power pole tower. Among them, the inclination parameter is used to indicate the inclination of the power pole tower, and the settlement displacement parameter is used to indicate the settlement value and displacement value of the power pole tower. Subsequently, the settlement displacement parameter is tested, and it is determined whether it can be used as judgment data based on the test results. The cloud monitoring and analysis system will feedback the current status of the power pole tower based on the settlement displacement parameters and inclination parameters stored in the database.

[0020] Then, the attention index is updated according to the current status, external factors and natural factors, and the information collection time period is adjusted based on the attention index.

[0021] The power tower situation monitoring system based on cloud-edge-end-network collaboration of the present invention integrates the advantageous resources of cloud monitoring, edge computing equipment, Beidou monitoring terminal and Beidou ground-based augmentation network, realizes comprehensive, real-time and accurate situation monitoring of power towers, and improves the intelligence level and response speed of monitoring.

[0022] Specifically, because the Beidou monitoring terminal will upload the status information of the power poles and towers to the edge computing device, the edge computing device will parse, preprocess and quality inspect the status information before analyzing the status information of the power poles and towers to facilitate its subsequent analysis.

[0023] The specific content of the analysis is: according to the preset data format and protocol, it is converted into a format that the system can handle, so as to carry out subsequent data processing and analysis. The specific content of preprocessing includes: data cleaning, outlier processing, format conversion, etc. The quality inspection room conducts quality inspection on the status information to ensure the accuracy and reliability of the data and eliminate errors and invalid data.

[0024] Specifically, the status information includes the inline tilt angle, lateral tilt angle, longitude, latitude, altitude and positioning status of the power tower.

[0025] Furthermore, in some embodiments of the present invention, the status information is analyzed to obtain the inclination parameters and settlement displacement parameters of the power pole tower, including: determining the inline inclination based on the inline inclination angle; obtaining the lateral inclination based on the lateral inclination angle; obtaining the inclination parameter based on the inline inclination and the lateral inclination; judging the positioning status of the power pole tower to obtain a first judgment result; and processing the status information based on the first judgment result.

[0026] In this embodiment, the edge computing device determines the inline inclination and lateral inclination of the power pole tower according to the inline inclination angle and lateral inclination angle in the status information. Then, the inclination parameter is obtained according to the inline inclination and lateral inclination. By extracting the basic status information of the power pole tower and performing in-depth analysis, the situation of the power pole tower can be understood according to the inclination parameter.

[0027] On this basis, the edge computing device will judge the positioning status and obtain the first judgment result according to the actual situation. According to the first judgment result, the edge computing device will process the status information accordingly, thereby improving the efficiency of data processing.

[0028] Specifically, based on the along-line tilt angle, before determining the along-line inclination, it includes: extracting basic status information in the status information, wherein the basic status information includes: along-line tilt angle, lateral tilt angle, longitude, latitude, altitude, positioning status, etc., to provide basic data for subsequent calculations and analysis.

[0029] Specifically, the specific algorithm for the along-line inclination is: .in, is the inclination along the line, is the inclination angle along the line.

[0030] Specifically, the specific algorithm for the lateral inclination is: .in, is the lateral inclination, is the lateral inclination.

[0031] Specifically, the specific algorithm of the inclination parameter is: .in, Further, in some embodiments of the present invention, based on the first judgment result, the status information is processed, including: if the first judgment result is normal, based on the height of the power tower, the settlement parameter is obtained, based on the preset longitude and latitude of the power tower and the returned longitude and latitude, the displacement parameter of the tower is obtained, otherwise, the analysis of the status information is terminated.

[0032] In this embodiment, the edge computing device checks whether the positioning status is reasonable. The positioning status ranges from 0 to 6, and different values ​​represent different states. 0 represents invalid positioning, 1 represents single-point positioning, 2 represents DGNSS, 4 represents RTK fixed solution, 5 represents RTK floating point solution, and 6 represents pure inertial navigation positioning. Only when the positioning status is 4, it means that the data collected by the device is valid.

[0033] When the positioning status is 4, it means that the first judgment result is normal, and the settlement parameters can be obtained according to the height of the power tower. In addition, the displacement parameters of the tower are obtained by using the preset longitude and latitude of the power tower and the returned longitude and latitude.

[0034] Otherwise, when the positioning status is not 4, it means that the first judgment result is abnormal, and the edge computing device no longer analyzes the status information.

[0035] Specifically, based on the preset longitude and latitude of the power tower and the returned longitude and latitude, the displacement parameters of the tower are obtained, including: based on the preset longitude and latitude of the power tower and the returned longitude and latitude, the along-line displacement and the lateral displacement are obtained; based on the along-line displacement and the lateral displacement, the displacement parameters are obtained.

[0036] Specifically, the specific algorithm of the settlement parameters is: .in, is the settlement parameter, which is used to indicate the current settlement height of the power tower. It is the height transmitted back in real time by the Beidou monitoring terminal. The height of the initial position of the Beidou monitoring terminal equipment installed on the power tower. Can be obtained by measuring instrument during installation.

[0037] Specifically, the specific algorithm of the displacement parameter is: .in, is the only parameter, is the displacement along the line, is the lateral displacement.

[0038] Among them, the specific algorithm of lateral displacement is: The specific algorithm of along-line displacement is: . The specific algorithm is: ; The specific algorithm is: ; The specific algorithm is: The initial installation position of the Beidou monitoring terminal is A, and the real-time return position is B. The two tower bases are M and N respectively. The horizontal coordinates of point A are ( , ), the horizontal coordinate of point B ( , ), the horizontal coordinate of point M ( , ), horizontal coordinates of point N ( , ). It should be noted that , , There is no specific meaning. The above formula is expressed only to make it easier to observe the formula.

[0039] Furthermore, in some embodiments of the present invention, the settlement displacement parameters are tested, and whether the settlement displacement parameters can be used as judgment data of the power pole tower is determined based on the test results, including: selecting a number of settlement parameters and displacement parameters in the database as samples, confirming the mean displacement parameter and the mean settlement parameter; determining whether the absolute value of the displacement parameter and the absolute value of the settlement parameter are both less than a first threshold value, if they are less than the first threshold value, determining that the displacement parameter and the settlement parameter can be used as judgment data of the power pole tower, otherwise, performing a secondary judgment on the displacement parameter and the settlement parameter.

[0040] In this embodiment, the edge computing device selects several displacement parameters in the database and obtains the average of several settlement parameters, that is, the mean displacement parameter; at the same time, it selects several displacement parameters in the database and obtains the average of several displacement parameters, that is, the mean displacement parameter.

[0041] On this basis, it is determined whether the absolute value of the displacement parameter and the absolute value of the settlement parameter are both less than the first threshold value. If they are less than the first threshold value, it is determined that the displacement parameter and the settlement parameter can be used as judgment data of the power tower. Otherwise, a secondary judgment is performed on the displacement parameter and the settlement parameter.

[0042] By checking the displacement parameters, the error caused by a single measurement can be reduced and the accuracy and reliability of the judgment can be improved.

[0043] Specifically, the edge computing device selects several parameters in the database whose upload time is closest to the displacement parameters and settlement parameters uploaded by the Beidou monitoring terminal.

[0044] Furthermore, in some embodiments of the present invention, a secondary judgment is performed on the displacement parameter and the settlement parameter, including: judging whether the absolute value of the displacement parameter and the mean displacement parameter is less than a first threshold and whether the absolute value of the settlement parameter and the mean settlement parameter is less than the first threshold; 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 both less than the first threshold, it is determined that the displacement parameter and the settlement can be used as judgment data for the power tower.

[0045] In this embodiment, the edge computing device determines whether the absolute value of the displacement parameter and the mean displacement parameter is less than the first threshold value and whether the absolute value of the settlement parameter and the mean settlement parameter is less than the 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 both less than the first threshold value, it is determined that the displacement parameter and the settlement can be used as judgment data of the power tower. Through the secondary judgment of the data, the accuracy and reliability of the judgment are further improved.

[0046] Furthermore, in some embodiments of the present invention, the current state of the power tower is fed back based on the settlement displacement parameters and the inclination parameters, including: judging the displacement state of the power tower based on the displacement parameters; judging the settlement state of the power tower based on the settlement parameters; judging the inclination state of the power tower based on the inclination parameters.

[0047] In this embodiment, the cloud monitoring and analysis system makes judgments based on the displacement parameters, settlement parameters and inclination parameters, and further determines the displacement state, settlement state and inclination state of the power tower.

[0048] The displacement status of the power tower is determined by the cloud monitoring and analysis system to determine whether the absolute value of the displacement parameter for multiple consecutive times is greater than the first threshold. If the absolute value of the displacement parameter is less than the first threshold, it means that the displacement status is normal. Otherwise, the cloud monitoring and analysis system determines whether the displacement parameter for multiple consecutive times is greater than the second threshold. If the displacement parameter is greater than the second threshold, the cloud monitoring and analysis system issues a displacement emergency alarm, otherwise, it issues a displacement focus alarm.

[0049] The settlement status of the power tower is determined by the cloud monitoring and analysis system to determine whether the absolute value of the settlement parameter is greater than the first threshold value for multiple consecutive times. If the absolute value of the settlement parameter is less than the first threshold value, it means that the settlement status is normal. Otherwise, the cloud monitoring and analysis system determines whether the settlement parameter is less than the third threshold value for multiple consecutive times. If the settlement parameter is less than the third threshold value, the cloud monitoring and analysis system issues a settlement emergency alarm, otherwise, it issues a settlement focus warning.

[0050] The tilt status of the power tower is determined by the cloud monitoring and analysis system to determine whether the tilt parameters for multiple consecutive times are all greater than the fourth threshold. If the tilt parameters are all greater than the fourth threshold, the cloud monitoring and analysis system determines whether the tilt parameters for multiple consecutive times are all greater than the fifth threshold. Otherwise, the cloud monitoring and analysis system determines that the tilt status is normal. If the tilt parameters are all greater than the fifth threshold, the cloud monitoring and analysis system issues a tilt emergency alarm, otherwise, it issues a tilt focus warning.

[0051] Preferably, the second threshold and the third threshold are opposite numbers.

[0052] Furthermore, in some embodiments of the present invention, the attention index is updated based on the current state, external force factor parameters and natural factor parameters, including: obtaining internal factor parameters based on displacement parameters, settlement parameters and inclination parameters; and updating the attention index based on internal factor parameters, external force factor parameters and natural factor parameters.

[0053] In this embodiment, the cloud-based monitoring and analysis system updates its own factor parameters according to the displacement parameters, settlement parameters and inclination parameters, and updates the attention index according to its own factor parameters, external force factor parameters and natural factor parameters.

[0054] The calculation formula of the attention index is: Among them, 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; the closer the index value is to 0, the smaller the risk is, the monitoring frequency can be reduced, and the conventional monitoring mode can be adopted. , , are the weight coefficients of natural factors, internal factors and external factors respectively. Preferably, The setting range is 0.3 to 0.5. The setting range is 0.3 to 0.6. The range of settings is 0.1 to 0.2, and the weights sum to 1. is the natural factor parameter, is the own factor parameter, is the external force parameter.

[0055] Specifically, It mainly includes factors such as meteorological weather and terrain changes, and is calculated according to the following standards: meteorological weather parameters ( ) mainly considers the impact of heavy rain, heavy snow and strong typhoon. Preferably, heavy rain ( ) can be set from 0 (no effect) to 0.3 (severe effect), Blizzard ( ) is set in the range of 0 (no impact) to 0.2 (severe impact), strong typhoon ( ) is set on a scale of 0 (no impact) to 0.4 (severe impact).

[0056] in, for The formula for obtaining .

[0057] Terrain changes ( ) is mainly used to judge adverse geological areas, with a score range of 0 (stable) to 0.4 (severe deformation).

[0058] in, for The formula for obtaining .

[0059] in, , are the weight coefficients of meteorological weather and terrain changes respectively. Preferably, The setting range is 0.2 to 0.6. The range of settings is 0.3 to 0.6, and the sum of weights is 1.

[0060] Own factors ( ) The comprehensive score is calculated as follows: Root decay ( ) ranges from 0 (no corruption) to 0.2 (severe corruption), and the control level ( ) ranges from 0.1 (low level) to 0.4 (high level), historical data ( ) ranges from 0 (stable) to 0.5 (frequent anomalies).

[0061] , , are the weight coefficients of pole root corrosion, control level, and tower monitoring historical data. =0.2, control level =0.3, tower monitoring historical data =0.5, and the sum of the weights is 1.

[0062] External factors ( ) includes illegal construction and earthwork / blasting, and is calculated as follows: Illegal construction ( ) is scored on a scale of 0 (no impact) to 0.4 (severe impact), earthwork / blasting ( ) is scored on a scale of 0 (no impact) to 0.3 (severe impact). for The specific calculation method.

[0063] Specifically, according to the historical data of the database, the displacement parameters, settlement parameters and inclination parameters are sorted into displacement data sets, settlement data sets and inclination data sets respectively. On this basis, the displacement data sets, settlement data sets and inclination data sets are sorted respectively, and the maximum and minimum values ​​of the displacement data sets, settlement data sets and inclination data sets are selected respectively. On this basis, the data in each displacement data set, settlement data set and inclination data set are normalized, wherein the calculation formula of the normalized displacement data is: ; The calculation formula for normalized settlement data is: ; The calculation formula for normalized tilt data is: .in, is the normalized displacement data, is the normalized sedimentation data, is the normalized tilt data. is the displacement data before normalization, is the sedimentation data before normalization, is the tilt data before normalization. is the minimum value in the settlement data set, is the maximum value in the settlement data set, is the minimum value in the displacement data set, is the maximum value in the displacement data set, is the minimum value in the tilt data set, is the maximum value in the tilt data set.

[0064] In the claims, specification and drawings of the present invention, the term "multiple" refers to two or more than two. Unless otherwise clearly defined, the orientation or positional relationship indicated by the terms "upper" and "lower" is based on the orientation or positional relationship shown in the drawings, which is only for the purpose of more conveniently describing the present invention and making the description process simpler, rather than indicating or implying that the device or element referred to must have the specific orientation described, be constructed and operated in a specific orientation, so these descriptions cannot be understood as limiting the present invention; the terms "connect", "install", "fix" and the like should be understood in a broad sense. For example, "connection" can be a fixed connection between multiple objects, or a detachable connection between multiple objects, or an integral connection; it can be a direct connection between multiple objects, or an indirect connection between multiple objects through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood based on the specific circumstances of the above data.

[0065] In the claims, specification and drawings of the present invention, the description of the terms "one embodiment", "some embodiments", "specific embodiments" and the like means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In the claims, specification and drawings of the present invention, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0066] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for monitoring power tower status based on cloud-edge-end-network collaboration, characterized in that: include: Collect and upload status information of power towers; Analyze the state information to obtain the 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 of the power tower based on the test results; Based on the settlement displacement parameter and the inclination parameter, feeding back the current state of the power tower; Based on the current state, external force factor parameters and natural factor parameters, updating the attention index; According to the attention index, the information collection time period is adjusted.

2. The power tower situation monitoring method based on cloud-edge-end-network collaboration according to claim 1 is characterized in that: The analyzing the state information to obtain the inclination parameter and the settlement displacement parameter of the power tower includes: Based on the inline tilt angle, determine the inline tilt degree; Based on the lateral tilt angle, obtaining a lateral tilt degree; Based on the inline inclination and the lateral inclination, acquiring the inclination parameter; Determine the positioning state of the power tower and obtain a first determination result; Based on the first judgment result, the state information is processed.

3. The power tower situation monitoring method based on cloud-edge-end-network collaboration according to claim 2 is characterized in that: The processing of the state information based on the first judgment result includes: If the first judgment result is normal, based on the height of the power tower, the settlement parameter is obtained, and based on the preset longitude and latitude of the power tower and the returned longitude and latitude, the displacement parameter of the tower is obtained. Otherwise, the analysis of the status information is terminated.

4. The method for monitoring power tower status based on cloud-edge-end-network collaboration according to claim 3 is characterized in that: The step of testing the settlement displacement parameter and judging whether the settlement displacement parameter can be used as judgment data of the power tower based on the test result includes: Select several settlement parameters and displacement parameters in the database, and confirm the mean displacement parameter and the mean settlement parameter; Determine whether the absolute value of the displacement parameter and the absolute value of the settlement parameter are both less than a first threshold value; if they are less than the first threshold value, determine that the displacement parameter and the settlement parameter can be used as judgment data of the power tower; Otherwise, a second judgment is performed on the displacement parameter and the settlement parameter.

5. The method for monitoring power tower status based on cloud-edge-end-network collaboration according to claim 4 is characterized in that: The secondary determination of the displacement parameter and the settlement parameter comprises: Determine whether the absolute values ​​of the displacement parameter and the mean displacement parameter are less than the first threshold and whether the absolute values ​​of the settlement parameter and the mean settlement parameter are less than the first threshold; 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 both less than the first threshold, determine that the displacement parameter and the settlement can be used as judgment data for the power tower.

6. The method for monitoring power tower status based on cloud-edge-end-network collaboration according to claim 5 is characterized in that: The feeding back of the current state of the power tower based on the settlement displacement parameter and the inclination parameter includes: 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 parameter, the inclination state of the power tower is determined.

7. The method for monitoring power tower status based on cloud-edge-end-network collaboration according to claim 6 is characterized in that: The updating of the attention index based on the current state, external force factor parameters and natural factor parameters includes: Based on the displacement parameter, the settlement parameter and the inclination parameter, obtaining an own factor parameter; The attention index is updated based on the intrinsic factor parameter, the external force factor parameter and the natural factor parameter.

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