CN116347381A - Power transmission line tower geological disaster monitoring and analyzing method and system based on deformation detection - Google Patents
Power transmission line tower geological disaster monitoring and analyzing method and system based on deformation detection Download PDFInfo
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Abstract
The invention relates to the technical field of monitoring and analyzing geological disasters of a power transmission line tower, in particular to a method and a system for monitoring and analyzing geological disasters of the power transmission line tower based on deformation detection, which aims at the problems that the existing monitoring and analyzing technique of geological disasters of the power transmission line tower still has the defects that the monitoring and analyzing method mainly adopts an inclination angle monitoring mode and regular manual inspection, and the accuracy of the monitoring and analyzing result is lower due to lack of timeliness, and the method for monitoring and analyzing the geological disasters of the power transmission line tower based on the deformation detection comprises the following steps: s1: establishing a circuit, and S2: data acquisition, S3: the invention aims to carry out intelligent monitoring by adopting equipment, avoid manual errors, ensure high accuracy of acquired data, improve the accuracy of monitoring analysis results, and simultaneously improve the data transmission speed and ensure timeliness of the monitoring analysis results by adopting a 5G SA private local area network.
Description
Technical Field
The invention relates to the technical field of monitoring and analyzing geological disasters of power transmission line towers, in particular to a method and a system for monitoring and analyzing geological disasters of power transmission line towers based on deformation detection.
Background
With the development of national economy, the coverage area of electric power and communication networks is wider and wider, and iron towers, such as high-voltage transmission line iron towers and communication base station iron towers, are used in large quantities in electric power transmission lines and communication lines. Iron towers play an important role in the coverage of electric power transmission lines and communication networks. However, due to natural disasters (such as rain, snow, strong wind, etc.), coal mining, engineering construction, artificial damage, etc., the tower body is inclined. Tower tilting often causes transmission lines and communication networks to break, which severely causes collapse events. These pose a great threat to the safe operation of the transmission network and to the proper functioning of the communication network. Bringing loss to people's life and property. Therefore, the method is particularly important for monitoring the state of the tower in real time.
However, the existing transmission line tower geological disaster monitoring and analyzing technology still has the problems that most of transmission line tower monitoring adopts an inclination angle monitoring mode and regular manual inspection, and the monitoring and analyzing method lacks timeliness, so that the accuracy of the monitoring and analyzing result is low, therefore, the transmission line tower geological disaster monitoring and analyzing method and system based on deformation detection are provided for solving the problems.
Disclosure of Invention
The invention aims to solve the problems that the existing transmission line tower geological disaster monitoring and analyzing technology still has the problems that the transmission line tower monitoring is mainly carried out in an inclination angle monitoring mode and periodically and manually inspected, the monitoring and analyzing method lacks timeliness, the accuracy of the monitoring and analyzing result is low, and the like, and provides the transmission line tower geological disaster monitoring and analyzing method and system based on deformation detection, so that the accuracy of the monitoring and analyzing result is improved.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
a deformation detection-based power transmission line tower geological disaster monitoring and analyzing method comprises the following steps:
s1: establishing a circuit: establishing a power transmission line by professionals;
s2: and (3) data acquisition: acquiring data of the tower through the established transmission line;
s3: monitoring and analyzing: monitoring and analyzing geological disasters of the transmission line towers based on deformation detection by professionals through the acquired tower data;
s4: and (3) constructing a model: constructing a monitoring analysis model by a professional, and training the constructed monitoring analysis model;
s5: updating real-time data: carrying out real-time data updating by professionals;
Preferably, in the step S1, a professional establishes a power transmission line, wherein the power transmission line includes a power transmission line, a tower and a monitoring system when the power transmission line is established, a plurality of lines of a power transmission channel need to traverse the same power transmission corridor when the power transmission line is established, the power transmission line is connected through the tower, the monitoring systems are arranged at the positions of the towers, meanwhile, the professional establishes a private local area network to form a network layer, the private local area network adopts a 5G SA network, the professional encrypts the established private local area network after the establishment is completed, the professional connects the monitoring system in the private local area network through a secret key after the encryption is completed, one monitoring system comprises a three-dimensional imaging sensor, a microcomputer and a control device, wherein one monitoring system corresponds to one tower, the three-dimensional imaging sensor is selected from one of a binocular camera, a three-dimensional scanner and an RGB-D camera, the three-dimensional imaging sensor is connected with the control device, the three-dimensional imaging sensor is controlled by the control device, point cloud data of the tower is obtained by the control device, and the microcomputer is connected with the control device;
Preferably, in the step S2, data acquisition is performed on the tower through the established power transmission line, wherein during data acquisition, a control system automatically controls a three-dimensional imaging sensor to acquire a tower image, the three-dimensional imaging sensor scans the acquired image and intrinsic parameters of a camera to create point cloud, the three-dimensional imaging sensor sends the created point cloud data to a microcomputer through a private lan, the microcomputer automatically identifies the received point cloud data after receiving the point cloud data, and determines through the identification result, the microcomputer pre-stores the point cloud data corresponding to the tower, wherein the point cloud data comprises the number of complete point clouds, the point cloud data and other point cloud parameters of the tower, and the identification result shows that the number of the point cloud data is complete, and the data acquisition is determined to be complete, the identification result shows that the data acquisition is incomplete if the number of the point cloud data is not complete, the microcomputer stores the received point cloud data in a specific storage position if the data acquisition is complete, the microcomputer moves the position of the three-dimensional imaging sensor if the data acquisition is not complete and carries out data acquisition again through the three-dimensional imaging sensor, the three-dimensional imaging sensor sends the created point cloud data to the microcomputer through a special local area network, the microcomputer compares the point cloud data after the point cloud data is received, the same point cloud data is removed through the data comparison result, the microcomputer fuses the rest point cloud data with the point cloud data acquired at the previous time to obtain new point cloud data after the process is completed, the microcomputer identifies the new point cloud data, judging and processing through the identification result, stopping next data acquisition until the identification result shows that the number of the cloud data is complete, and storing all the obtained new point cloud data in a specific storage position by the microcomputer;
In the step S3, a professional person calculates the obtained point cloud data and pre-stored point cloud data of the non-inclined tower through a point cloud algorithm according to the obtained point cloud data and calculates offset data of the obtained point cloud data, the microcomputer intelligently identifies the inclination deformation condition of the tower through the offset data of the point cloud data and the point cloud position, and simultaneously, the microcomputer sends the tower data to a general background computer through a special local area network, wherein the tower data comprises the inclination deformation condition of the tower and the position data of the tower, the professional person firstly searches geological disaster data through the position data of the tower after receiving the tower data through the general background computer, and the professional person monitors and analyzes the influence degree of the geological disaster on the inclination deformation of the tower through combining the geological disaster data of the position of the tower with the geological disaster data of the professional person after searching;
preferably, in the step S4, a professional builds a monitoring analysis model, and trains the built monitoring analysis model, wherein analysis model training is performed by changing the tower data and the geological disaster data of the position of the tower, the tower data and the geological disaster data of the position of the tower are real data of the existing database, and the model training result is compared with the professional analysis result, and the model is judged by the comparison result, wherein the model training result is judged to be correct if the judgment result is consistent with the professional analysis result, the model training result is judged to be incorrect if the judgment result is inconsistent with the professional analysis result, and the number of times of data change is not less than 1000, the professional performs calculation to obtain the model analysis correct rate by each training judgment result after completion of one training cycle, the model analysis correct rate data obtained by the professional is judged, and processes the model analysis correct rate data obtained by judgment result, wherein the model analysis correct rate data obtained by judgment result display is judged to be model training completion if the model is not equal to 100%, the model is judged to be complete if the model training correct, and the model is not completed by judgment result display is judged to be correct, the model is completely trained by the model after the training algorithm is completely performed by the training algorithm is completed by the professional, and the training algorithm is completed after completion is completed by the training result, the model is completed by the training algorithm is completed by the training correct data, and the model analysis correct by the model is completed by the training algorithm, and applying the analysis model;
In the step S5, the professional performs real-time data updating, wherein the professional searches through a network and connects with a database to obtain real-time geological disaster data when the real-time data updating is performed, the geological disaster database of the general background computer is updated through the obtained real-time geological disaster data, and meanwhile, the content of the updated geological disaster database is uploaded to the cloud for storage;
the utility model provides a transmission line shaft tower geological disaster monitoring analysis system based on deformation detection, includes setting up module, connection module, data acquisition module, scanning creation module, sending module, identification module, monitoring analysis module, calculation module, intelligent identification module, build module, training module and real-time update module, setting up module is connected with the connection module, the connection module is connected with the data acquisition module, the data acquisition module is connected with the scanning creation module, the scanning creation module is connected with the sending module, the sending module is connected with the identification module, the identification module is connected with the monitoring analysis module, the monitoring analysis module is connected with the calculation module, the calculation module is connected with the intelligent identification module, the intelligent identification module is connected with the build module, the build module is connected with the training module, the training module is connected with the real-time update module;
Preferably, the establishing module is used for establishing a power transmission line, the connecting module is used for connecting internal devices and equipment of the power transmission line, the data acquisition module is used for acquiring data of a tower through the established power transmission line, the scanning creation module is used for scanning the acquired data through the three-dimensional imaging sensor to create point cloud, the sending module is used for sending the created point cloud data to the microcomputer through the special local area network, the identification module is used for identifying the received point cloud data through the microcomputer, the monitoring analysis module is used for monitoring and analyzing geological disasters of the power transmission line tower based on deformation detection, the calculation module is used for acquiring offset data of the point cloud data through calculation, the intelligent identification module is used for intelligently identifying the inclination deformation condition of the tower through the offset data of the point cloud data and the point cloud position of the microcomputer, the construction module is used for constructing a monitoring analysis model, the training module is used for training the constructed monitoring analysis model, and the real-time updating module is used for updating real-time data.
Compared with the prior art, the invention has the beneficial effects that:
1. by adopting the equipment to carry out intelligent monitoring, the manual error is avoided, the acquired data precision is high, and the accuracy of the monitoring analysis result is improved.
2. By adopting the 5G SA special local area network, the data transmission speed is improved, so that the monitoring analysis result has timeliness.
The invention aims to carry out intelligent monitoring by adopting equipment, avoid manual errors, ensure that the acquired data has high precision, improve the accuracy of monitoring analysis results, and simultaneously improve the data transmission speed by adopting a 5G SA private local area network, so that the monitoring analysis results have timeliness.
Drawings
Fig. 1 is a flowchart of a method and a system for monitoring and analyzing geological disasters of a transmission line tower based on deformation detection;
fig. 2 is a block diagram of a method and a system for monitoring and analyzing geological disasters of a transmission line tower based on deformation detection.
Detailed Description
The following description of the technical solutions in the embodiments of the present invention will be clear and complete, and it is obvious that the described embodiments are only some embodiments of the present invention, but not all embodiments.
Example 1
Referring to fig. 1-2, a deformation detection-based power transmission line tower geological disaster monitoring and analyzing method comprises the following steps:
s1: establishing a circuit: establishing a power transmission line by a professional, wherein the power transmission line comprises a power transmission line, a pole tower and a monitoring system when the power transmission line is established, a plurality of lines of a power transmission channel need to pass through the same power transmission corridor when the power transmission line is established, the power transmission line is connected through the pole tower, the monitoring systems are arranged at the pole tower, meanwhile, a special local area network is established by the professional to form a network layer, the special local area network adopts a 5G SA network, the established special local area network is required to be encrypted by the professional after the establishment is completed, the monitoring system is connected in the special local area network by the professional through secret keys after the encryption is completed, the monitoring system comprises a three-dimensional imaging sensor, a microcomputer and a control device, one of the monitoring systems forms a corresponding pole tower, the three-dimensional imaging sensor is one of a binocular camera, a three-dimensional scanner and an RGB-D camera, the three-dimensional imaging sensor is connected with the control device, the three-dimensional imaging sensor is controlled by the control device, point cloud data of the pole tower is obtained by the control device, and the control device is connected with the microcomputer;
S2: and (3) data acquisition: the method comprises the steps of carrying out data acquisition on a pole tower through an established power transmission line, wherein a control system automatically controls a three-dimensional imaging sensor to acquire a pole tower image when carrying out data acquisition, scanning and creating point cloud through the three-dimensional imaging sensor, and sending the created point cloud data to a microcomputer through a special local area network by the three-dimensional imaging sensor, automatically identifying the received point cloud data after the microcomputer receives the point cloud data, judging through the identification result, processing the point cloud data through the identification result, storing point cloud data corresponding to the pole tower in the microcomputer in advance, wherein the point cloud data comprises the number of complete point clouds of the pole tower, the point cloud data and other point cloud parameters, judging that the acquisition of the point cloud data is completed when the number of the point cloud data is displayed as the number of the point cloud is complete, judging that the point cloud data is incomplete when the acquisition of the point cloud data is completed, storing the received point cloud data in a specific storage position by the microcomputer, moving the three-dimensional imaging sensor position by the microcomputer when the micro computer is not completed when the judgment result is the data is the number of the point cloud data, carrying out data acquisition, processing the three-dimensional imaging sensor again through the judgment result, carrying out data acquisition by the microcomputer, comparing the three-dimensional imaging sensor with the new point cloud data obtained by the microcomputer, and carrying out the cloud data acquisition by the microcomputer when the micro computer, comparing the point cloud data obtained by the special cloud data with the point cloud data is compared with the point cloud data obtained by the micro computer, and the point cloud data obtained by the special point cloud data after the micro computer when the point cloud data is acquired by the micro computer, judging and processing through the identification result, stopping next data acquisition until the identification result shows that the number of the cloud data is complete, and storing all the obtained new point cloud data in a specific storage position by the microcomputer;
S3: monitoring and analyzing: the method comprises the steps that a professional calculates the obtained point cloud data and pre-stored point cloud data of which the tower is not inclined through a point cloud algorithm by using a microcomputer, calculates offset data of the point cloud data, intelligently identifies the inclination deformation condition of the tower through the offset data of the point cloud data and the point cloud position by using the microcomputer, and simultaneously sends the tower data to a general background computer through a special local area network, wherein the tower data comprises the inclination deformation condition of the tower and the position data of the tower, the professional searches geological disaster data through the position data of the tower after receiving the tower data through the general background computer, and monitors and analyzes the influence degree of the geological disaster on the inclination deformation of the tower by combining the geological disaster data of the position of the tower by using the professional after searching;
s4: and (3) constructing a model: constructing a monitoring analysis model by a professional, training the constructed monitoring analysis model, carrying out analysis model training by changing the tower data and the geological disaster data of the position of the tower, judging the tower data and the geological disaster data of the position of the tower as real data of the existing database, comparing the model training result with the professional analysis result, judging the model training result by the comparison result, judging the model training result to be correct if the judgment result is consistent with the professional analysis result, judging the model training result to be wrong if the judgment result is inconsistent with the professional analysis result, carrying out calculation by the professional through each training judgment result after one training period is finished to obtain the model analysis accuracy, judging the model analysis accuracy data obtained by the professional through each training judgment result, carrying out processing through the judgment result, judging the model analysis accuracy data obtained by the judgment result to be 100%, judging the model training to be incomplete if the model analysis accuracy data obtained by the judgment result is not equal to 100%, carrying out zero clearing on the model training algorithm after the judgment result is not consistent with the professional analysis result, carrying out the training algorithm until the model analysis accuracy is completely finished, carrying out the model analysis algorithm after the model is completely changed by the professional training result is completely, carrying out calculation on the model analysis accuracy data after the model analysis accuracy is completely finished by the professional, carrying out calculation by the training algorithm, and applying the analysis model;
S5: updating real-time data: the method comprises the steps that real-time data updating is carried out by professionals, real-time geological disaster data are obtained by the professionals through network searching and database connection when the real-time data updating is carried out, the geological disaster database of a general background computer is updated through the obtained real-time geological disaster data, and meanwhile, the content of the updated geological disaster database is uploaded to a cloud for storage;
the utility model provides a transmission line shaft tower geology disaster monitoring analysis system based on deformation detection, includes setting up module, connection module, data acquisition module, scanning creation module, sending module, identification module, monitoring analysis module, calculation module, intelligent identification module, construction module, training module and real-time update module, the setting up module is connected with the connection module, the connection module is connected with the data acquisition module, the data acquisition module is connected with the scanning creation module, the scanning creation module is connected with the sending module, the sending module is connected with the identification module, the identification module is connected with the monitoring analysis module, the monitoring analysis module is connected with the calculation module, the calculation module is connected with the intelligent identification module, the intelligent identification module is connected with the construction module, the construction module is connected with the training module, the training module is connected with the real-time updating module, the construction module is used for constructing a power transmission line, the connecting module is used for connecting internal devices and equipment of the power transmission line, the data acquisition module is used for acquiring data of a tower through the constructed power transmission line, the scanning creation module is used for scanning and creating point cloud through a three-dimensional imaging sensor, the sending module is used for sending the created point cloud data to a microcomputer through a special local area network, the identification module is used for identifying the received point cloud data through the microcomputer, the monitoring analysis module is used for monitoring and analyzing geological disasters of the tower of the power transmission line based on deformation detection, the calculation module is used for acquiring offset data of the point cloud data through calculation, the intelligent recognition module is used for intelligently recognizing the inclination deformation condition of the tower through the offset data of the point cloud data and the point cloud positions of the microcomputer, the construction module is used for constructing a monitoring analysis model, the training module is used for training the constructed monitoring analysis model, and the real-time updating module is used for updating real-time data.
Example two
Referring to fig. 1-2, a deformation detection-based power transmission line tower geological disaster monitoring and analyzing method comprises the following steps:
s1: establishing a circuit: establishing a power transmission line by a professional, wherein the power transmission line comprises a power transmission line, a tower and a monitoring system when the power transmission line is established, a plurality of lines of a power transmission channel need to pass through the same power transmission corridor when the power transmission line is established, the power transmission lines are connected through the tower, the monitoring systems are arranged at the tower, and meanwhile, a special local area network is established by the professional to form a network layer;
s2: and (3) data acquisition: the method comprises the steps of carrying out data acquisition on a pole tower through an established power transmission line, wherein a control system automatically controls a three-dimensional imaging sensor to acquire a pole tower image when carrying out data acquisition, scanning and creating point cloud through the three-dimensional imaging sensor, and sending the created point cloud data to a microcomputer through a special local area network by the three-dimensional imaging sensor, automatically identifying the received point cloud data after the microcomputer receives the point cloud data, judging through the identification result, processing the point cloud data through the identification result, storing point cloud data corresponding to the pole tower in the microcomputer in advance, wherein the point cloud data comprises the number of complete point clouds of the pole tower, the point cloud data and other point cloud parameters, judging that the acquisition of the point cloud data is completed when the number of the point cloud data is displayed as the number of the point cloud is complete, judging that the point cloud data is incomplete when the acquisition of the point cloud data is completed, storing the received point cloud data in a specific storage position by the microcomputer, moving the three-dimensional imaging sensor position by the microcomputer when the micro computer is not completed when the judgment result is the data is the number of the point cloud data, carrying out data acquisition, processing the three-dimensional imaging sensor again through the judgment result, carrying out data acquisition by the microcomputer, comparing the three-dimensional imaging sensor with the new point cloud data obtained by the microcomputer, and carrying out the cloud data acquisition by the microcomputer when the micro computer, comparing the point cloud data obtained by the special cloud data with the point cloud data is compared with the point cloud data obtained by the micro computer, and the point cloud data obtained by the special point cloud data after the micro computer when the point cloud data is acquired by the micro computer, judging and processing through the identification result, stopping next data acquisition until the identification result shows that the number of the cloud data is complete, and storing all the obtained new point cloud data in a specific storage position by the microcomputer;
S3: monitoring and analyzing: the method comprises the steps that a professional calculates the obtained point cloud data and pre-stored point cloud data of which the tower is not inclined through a point cloud algorithm by using a microcomputer, calculates offset data of the point cloud data, intelligently identifies the inclination deformation condition of the tower through the offset data of the point cloud data and the point cloud position by using the microcomputer, and simultaneously sends the tower data to a general background computer through a special local area network, wherein the tower data comprises the inclination deformation condition of the tower and the position data of the tower, the professional searches geological disaster data through the position data of the tower after receiving the tower data through the general background computer, and monitors and analyzes the influence degree of the geological disaster on the inclination deformation of the tower by combining the geological disaster data of the position of the tower by using the professional after searching;
s4: and (3) constructing a model: constructing a monitoring analysis model by a professional, training the constructed monitoring analysis model, carrying out analysis model training by changing the tower data and the geological disaster data of the position of the tower, judging the tower data and the geological disaster data of the position of the tower as real data of the existing database, comparing the model training result with the professional analysis result, judging the model training result by the comparison result, judging the model training result to be correct if the judgment result is consistent with the professional analysis result, judging the model training result to be wrong if the judgment result is inconsistent with the professional analysis result, carrying out calculation by the professional through each training judgment result after one training period is finished to obtain the model analysis accuracy, judging the model analysis accuracy data obtained by the professional through each training judgment result, carrying out processing through the judgment result, judging the model analysis accuracy data obtained by the judgment result to be 100%, judging the model training to be incomplete if the model analysis accuracy data obtained by the judgment result is not equal to 100%, carrying out zero clearing on the model training algorithm after the judgment result is not consistent with the professional analysis result, carrying out the training algorithm until the model analysis accuracy is completely finished, carrying out the model analysis algorithm after the model is completely changed by the professional training result is completely, carrying out calculation on the model analysis accuracy data after the model analysis accuracy is completely finished by the professional, carrying out calculation by the training algorithm, and applying the analysis model;
S5: updating real-time data: the method comprises the steps that real-time data updating is carried out by professionals, real-time geological disaster data are obtained by the professionals through network searching and database connection when the real-time data updating is carried out, the geological disaster database of a general background computer is updated through the obtained real-time geological disaster data, and meanwhile, the content of the updated geological disaster database is uploaded to a cloud for storage;
the utility model provides a transmission line shaft tower geology disaster monitoring analysis system based on deformation detection, includes setting up module, connection module, data acquisition module, scanning creation module, sending module, identification module, monitoring analysis module, calculation module, intelligent identification module, construction module, training module and real-time update module, the setting up module is connected with the connection module, the connection module is connected with the data acquisition module, the data acquisition module is connected with the scanning creation module, the scanning creation module is connected with the sending module, the sending module is connected with the identification module, the identification module is connected with the monitoring analysis module, the monitoring analysis module is connected with the calculation module, the calculation module is connected with the intelligent identification module, the intelligent identification module is connected with the construction module, the construction module is connected with the training module, the training module is connected with the real-time updating module, the construction module is used for constructing a power transmission line, the connecting module is used for connecting internal devices and equipment of the power transmission line, the data acquisition module is used for acquiring data of a tower through the constructed power transmission line, the scanning creation module is used for scanning and creating point cloud through a three-dimensional imaging sensor, the sending module is used for sending the created point cloud data to a microcomputer through a special local area network, the identification module is used for identifying the received point cloud data through the microcomputer, the monitoring analysis module is used for monitoring and analyzing geological disasters of the tower of the power transmission line based on deformation detection, the calculation module is used for acquiring offset data of the point cloud data through calculation, the intelligent recognition module is used for intelligently recognizing the inclination deformation condition of the tower through the offset data of the point cloud data and the point cloud positions of the microcomputer, the construction module is used for constructing a monitoring analysis model, the training module is used for training the constructed monitoring analysis model, and the real-time updating module is used for updating real-time data.
Example III
Referring to fig. 1-2, a deformation detection-based power transmission line tower geological disaster monitoring and analyzing method comprises the following steps:
s1: establishing a circuit: establishing a power transmission line by a professional, wherein the power transmission line comprises a power transmission line, a pole tower and a monitoring system when the power transmission line is established, a plurality of lines of a power transmission channel need to pass through the same power transmission corridor when the power transmission line is established, the power transmission line is connected through the pole tower, the monitoring systems are arranged at the pole tower, meanwhile, a special local area network is established by the professional to form a network layer, the special local area network adopts a 5G SA network, the established special local area network is required to be encrypted by the professional after the establishment is completed, the monitoring system is connected in the special local area network by the professional through secret keys after the encryption is completed, the monitoring system comprises a three-dimensional imaging sensor, a microcomputer and a control device, one of the monitoring systems forms a corresponding pole tower, the three-dimensional imaging sensor is one of a binocular camera, a three-dimensional scanner and an RGB-D camera, the three-dimensional imaging sensor is connected with the control device, the three-dimensional imaging sensor is controlled by the control device, point cloud data of the pole tower is obtained by the control device, and the control device is connected with the microcomputer;
S2: monitoring and analyzing: the method comprises the steps that a professional calculates the obtained point cloud data and pre-stored point cloud data of which the tower is not inclined through a point cloud algorithm by using a microcomputer, calculates offset data of the point cloud data, intelligently identifies the inclination deformation condition of the tower through the offset data of the point cloud data and the point cloud position by using the microcomputer, and simultaneously sends the tower data to a general background computer through a special local area network, wherein the tower data comprises the inclination deformation condition of the tower and the position data of the tower, the professional searches geological disaster data through the position data of the tower after receiving the tower data through the general background computer, and monitors and analyzes the influence degree of the geological disaster on the inclination deformation of the tower by combining the geological disaster data of the position of the tower by using the professional after searching;
s3: and (3) constructing a model: constructing a monitoring analysis model by a professional, training the constructed monitoring analysis model, carrying out analysis model training by changing the tower data and the geological disaster data of the position of the tower, judging the tower data and the geological disaster data of the position of the tower as real data of the existing database, comparing the model training result with the professional analysis result, judging the model training result by the comparison result, judging the model training result to be correct if the judgment result is consistent with the professional analysis result, judging the model training result to be wrong if the judgment result is inconsistent with the professional analysis result, carrying out calculation by the professional through each training judgment result after one training period is finished to obtain the model analysis accuracy, judging the model analysis accuracy data obtained by the professional through each training judgment result, carrying out processing through the judgment result, judging the model analysis accuracy data obtained by the judgment result to be 100%, judging the model training to be incomplete if the model analysis accuracy data obtained by the judgment result is not equal to 100%, carrying out zero clearing on the model training algorithm after the judgment result is not consistent with the professional analysis result, carrying out the training algorithm until the model analysis accuracy is completely finished, carrying out the model analysis algorithm after the model is completely changed by the professional training result is completely, carrying out calculation on the model analysis accuracy data after the model analysis accuracy is completely finished by the professional, carrying out calculation by the training algorithm, and applying the analysis model;
S4: updating real-time data: the method comprises the steps that real-time data updating is carried out by professionals, real-time geological disaster data are obtained by the professionals through network searching and database connection when the real-time data updating is carried out, the geological disaster database of a general background computer is updated through the obtained real-time geological disaster data, and meanwhile, the content of the updated geological disaster database is uploaded to a cloud for storage;
the utility model provides a transmission line shaft tower geology disaster monitoring analysis system based on deformation detection, includes setting up module, connection module, data acquisition module, scanning creation module, sending module, identification module, monitoring analysis module, calculation module, intelligent identification module, construction module, training module and real-time update module, the setting up module is connected with the connection module, the connection module is connected with the data acquisition module, the data acquisition module is connected with the scanning creation module, the scanning creation module is connected with the sending module, the sending module is connected with the identification module, the identification module is connected with the monitoring analysis module, the monitoring analysis module is connected with the calculation module, the calculation module is connected with the intelligent identification module, the intelligent identification module is connected with the construction module, the construction module is connected with the training module, the training module is connected with the real-time updating module, the construction module is used for constructing a power transmission line, the connecting module is used for connecting internal devices and equipment of the power transmission line, the data acquisition module is used for acquiring data of a tower through the constructed power transmission line, the scanning creation module is used for scanning and creating point cloud through a three-dimensional imaging sensor, the sending module is used for sending the created point cloud data to a microcomputer through a special local area network, the identification module is used for identifying the received point cloud data through the microcomputer, the monitoring analysis module is used for monitoring and analyzing geological disasters of the tower of the power transmission line based on deformation detection, the calculation module is used for acquiring offset data of the point cloud data through calculation, the intelligent recognition module is used for intelligently recognizing the inclination deformation condition of the tower through the offset data of the point cloud data and the point cloud positions of the microcomputer, the construction module is used for constructing a monitoring analysis model, the training module is used for training the constructed monitoring analysis model, and the real-time updating module is used for updating real-time data.
Example IV
Referring to fig. 1-2, a deformation detection-based power transmission line tower geological disaster monitoring and analyzing method comprises the following steps:
s1: establishing a circuit: establishing a power transmission line by a professional, wherein the power transmission line comprises a power transmission line, a pole tower and a monitoring system when the power transmission line is established, a plurality of lines of a power transmission channel need to pass through the same power transmission corridor when the power transmission line is established, the power transmission line is connected through the pole tower, the monitoring systems are arranged at the pole tower, meanwhile, a special local area network is established by the professional to form a network layer, the special local area network adopts a 5G SA network, the established special local area network is required to be encrypted by the professional after the establishment is completed, the monitoring system is connected in the special local area network by the professional through secret keys after the encryption is completed, the monitoring system comprises a three-dimensional imaging sensor, a microcomputer and a control device, one of the monitoring systems forms a corresponding pole tower, the three-dimensional imaging sensor is one of a binocular camera, a three-dimensional scanner and an RGB-D camera, the three-dimensional imaging sensor is connected with the control device, the three-dimensional imaging sensor is controlled by the control device, point cloud data of the pole tower is obtained by the control device, and the control device is connected with the microcomputer;
S2: and (3) data acquisition: the method comprises the steps of carrying out data acquisition on a pole tower through an established power transmission line, wherein a control system automatically controls a three-dimensional imaging sensor to acquire a pole tower image when carrying out data acquisition, scanning and creating point cloud through the three-dimensional imaging sensor, and sending the created point cloud data to a microcomputer through a special local area network by the three-dimensional imaging sensor, automatically identifying the received point cloud data after the microcomputer receives the point cloud data, judging through the identification result, processing the point cloud data through the identification result, storing point cloud data corresponding to the pole tower in the microcomputer in advance, wherein the point cloud data comprises the number of complete point clouds of the pole tower, the point cloud data and other point cloud parameters, judging that the acquisition of the point cloud data is completed when the number of the point cloud data is displayed as the number of the point cloud is complete, judging that the point cloud data is incomplete when the acquisition of the point cloud data is completed, storing the received point cloud data in a specific storage position by the microcomputer, moving the three-dimensional imaging sensor position by the microcomputer when the micro computer is not completed when the judgment result is the data is the number of the point cloud data, carrying out data acquisition, processing the three-dimensional imaging sensor again through the judgment result, carrying out data acquisition by the microcomputer, comparing the three-dimensional imaging sensor with the new point cloud data obtained by the microcomputer, and carrying out the cloud data acquisition by the microcomputer when the micro computer, comparing the point cloud data obtained by the special cloud data with the point cloud data is compared with the point cloud data obtained by the micro computer, and the point cloud data obtained by the special point cloud data after the micro computer when the point cloud data is acquired by the micro computer, judging and processing through the identification result, stopping next data acquisition until the identification result shows that the number of the cloud data is complete, and storing all the obtained new point cloud data in a specific storage position by the microcomputer;
S3: monitoring and analyzing: the method comprises the steps that a professional calculates the obtained point cloud data and pre-stored point cloud data of which the tower is not inclined through a point cloud algorithm by using a microcomputer, calculates offset data of the point cloud data, intelligently identifies the inclination deformation condition of the tower through the offset data of the point cloud data and the point cloud position by using the microcomputer, and simultaneously sends the tower data to a general background computer through a special local area network, wherein the tower data comprises the inclination deformation condition of the tower and the position data of the tower, the professional searches geological disaster data through the position data of the tower after receiving the tower data through the general background computer, and monitors and analyzes the influence degree of the geological disaster on the inclination deformation of the tower by combining the geological disaster data of the position of the tower by using the professional after searching;
s4: and (3) constructing a model: constructing a monitoring analysis model by a professional, training the constructed monitoring analysis model, wherein analysis model training is carried out by changing tower data and geological disaster data of the position of the tower, the tower data and the geological disaster data of the position of the tower are real data of the existing database, comparing model training results with professional analysis results, judging by the comparison results, judging as correct if the judgment result shows that the model training results are consistent with the professional analysis results, judging as incorrect if the judgment result shows that the model training results are inconsistent with the professional analysis results, and carrying out calculation by the professional through each training judgment result after one training period is completed, so as to obtain model analysis accuracy, and applying the analysis model;
S5: updating real-time data: the method comprises the steps that real-time data updating is carried out by professionals, real-time geological disaster data are obtained by the professionals through network searching and database connection when the real-time data updating is carried out, the geological disaster database of a general background computer is updated through the obtained real-time geological disaster data, and meanwhile, the content of the updated geological disaster database is uploaded to a cloud for storage;
the utility model provides a transmission line shaft tower geology disaster monitoring analysis system based on deformation detection, includes setting up module, connection module, data acquisition module, scanning creation module, sending module, identification module, monitoring analysis module, calculation module, intelligent identification module, construction module, training module and real-time update module, the setting up module is connected with the connection module, the connection module is connected with the data acquisition module, the data acquisition module is connected with the scanning creation module, the scanning creation module is connected with the sending module, the sending module is connected with the identification module, the identification module is connected with the monitoring analysis module, the monitoring analysis module is connected with the calculation module, the calculation module is connected with the intelligent identification module, the intelligent identification module is connected with the construction module, the construction module is connected with the training module, the training module is connected with the real-time updating module, the construction module is used for constructing a power transmission line, the connecting module is used for connecting internal devices and equipment of the power transmission line, the data acquisition module is used for acquiring data of a tower through the constructed power transmission line, the scanning creation module is used for scanning and creating point cloud through a three-dimensional imaging sensor, the sending module is used for sending the created point cloud data to a microcomputer through a special local area network, the identification module is used for identifying the received point cloud data through the microcomputer, the monitoring analysis module is used for monitoring and analyzing geological disasters of the tower of the power transmission line based on deformation detection, the calculation module is used for acquiring offset data of the point cloud data through calculation, the intelligent recognition module is used for intelligently recognizing the inclination deformation condition of the tower through the offset data of the point cloud data and the point cloud positions of the microcomputer, the construction module is used for constructing a monitoring analysis model, the training module is used for training the constructed monitoring analysis model, and the real-time updating module is used for updating real-time data.
Comparative example one
One difference from the implementation is that S1: establishing a circuit: the method comprises the steps that a professional establishes a power transmission line, wherein the power transmission line comprises a power transmission line, a pole tower and a monitoring system when the power transmission line is established, a plurality of lines of a power transmission channel need to pass through the same power transmission corridor when the power transmission line is established, the power transmission line is connected through the pole tower, the monitoring system is arranged at the pole tower, meanwhile, the professional establishes a private local area network to form a network layer, the private local area network adopts a 5G SA network, the professional encrypts the established private local area network after establishing, the professional connects the monitoring system in the private local area network through a secret key after encrypting, the monitoring system comprises a three-dimensional imaging sensor, a microcomputer and a control device, and the rest is identical to the implementation.
Comparative example two
One difference from the implementation is that S2: and (3) data acquisition: the method comprises the steps of acquiring data from a tower through an established power transmission line, automatically controlling a three-dimensional imaging sensor to acquire a tower image through a control system during data acquisition, scanning acquired images and intrinsic parameters of a camera through the three-dimensional imaging sensor to create point cloud, transmitting the created point cloud data to a microcomputer through a special local area network through the three-dimensional imaging sensor, automatically identifying the received point cloud data after the microcomputer receives the point cloud data, judging through an identification result, and processing through a judgment result, wherein the rest of the points cloud data are identical to implementation.
Experimental example
The transmission line tower geological disaster monitoring and analyzing method and system based on deformation detection in the first embodiment, the second embodiment, the third embodiment, the fourth embodiment, the first comparative embodiment and the second comparative embodiment are tested, and the following results are obtained:
the deformation detection-based transmission line tower geological disaster monitoring and analyzing method and system prepared by the first embodiment, the second embodiment, the third embodiment, the fourth embodiment, the first comparative embodiment and the second comparative embodiment have obviously improved accuracy compared with the existing method and system monitoring and analyzing results, and the first embodiment is the best embodiment.
Detection report
The invention aims to solve the problems that the existing transmission line tower geological disaster monitoring and analyzing technology still has the defects that the transmission line tower monitoring is mainly carried out in an inclination angle monitoring mode and is carried out by regular manual inspection, the monitoring and analyzing method is lack of timeliness, the accuracy of monitoring and analyzing results is low, and the like.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.
Claims (10)
1. The deformation detection-based transmission line tower geological disaster monitoring and analyzing method is characterized by comprising the following steps of:
s1: establishing a circuit: establishing a power transmission line by professionals;
s2: and (3) data acquisition: acquiring data of the tower through the established transmission line;
s3: monitoring and analyzing: monitoring and analyzing geological disasters of the transmission line towers based on deformation detection by professionals through the acquired tower data;
s4: and (3) constructing a model: constructing a monitoring analysis model by a professional, and training the constructed monitoring analysis model;
s5: updating real-time data: real-time data updates are performed by professionals.
2. The deformation detection-based transmission line tower geological disaster monitoring and analyzing method is characterized in that in the step S1, a transmission line is established by a professional, the transmission line comprises a transmission line, a tower and a monitoring system when the transmission line is established, a plurality of lines of a transmission channel need to pass through the same transmission corridor when the transmission line is established, the transmission lines are connected through the tower, the monitoring system is arranged at the tower, meanwhile, a special local area network is established by the professional to form a network layer, the special local area network adopts a 5G SA network, the established special local area network needs to be encrypted by the professional after the establishment is completed, and the monitoring system is connected into the special local area network by the professional through secret keys after the encryption is completed.
3. The deformation detection-based transmission line tower geological disaster monitoring and analyzing method is characterized in that the monitoring system comprises a three-dimensional imaging sensor, a microcomputer and a control device, wherein one monitoring system corresponds to one tower, the three-dimensional imaging sensor is one of a binocular camera, a three-dimensional scanner and an RGB-D camera, the three-dimensional imaging sensor is connected with the control device, the three-dimensional imaging sensor is controlled by the control device, point cloud data of the tower are obtained through control of the control device, and the control device is connected with the microcomputer.
4. The deformation detection-based transmission line tower geological disaster monitoring and analyzing method is characterized in that in the step S2, data acquisition is carried out on a tower through an established transmission line, a control system automatically controls a three-dimensional imaging sensor to acquire a tower image during data acquisition, the three-dimensional imaging sensor scans acquired images and intrinsic parameters of a camera to create point clouds, the three-dimensional imaging sensor sends the created point clouds to a microcomputer through a special local area network, the microcomputer automatically identifies the received point clouds after receiving the point clouds, judges the identification result and processes the judgment result.
5. The deformation detection-based transmission line tower geological disaster monitoring and analyzing method is characterized in that point cloud data corresponding to a tower are prestored in a microcomputer, wherein the point cloud data comprise the number of complete point clouds of the tower, the point cloud data and other point cloud parameters, the number of the identification result display point cloud data is complete, the identification result display point cloud data is judged to be incomplete, the received point cloud data is stored in a specific storage position by the microcomputer when the identification result display point cloud data is incomplete, the three-dimensional imaging sensor is moved by the microcomputer when the identification result is incomplete, the data is acquired again by the three-dimensional imaging sensor through a control device, the created point cloud data is transmitted to the microcomputer through a special local area network, the microcomputer compares the point cloud data after the point cloud data is received, the same point cloud data is removed through the data comparison result, the microcomputer after the process is completed, the rest point cloud data and the newly acquired point cloud data are fused through the microcomputer, the identification result is obtained when the identification result is completely, the new point cloud data is completely acquired through the microcomputer, and the new cloud data is stored until the identification result is completely acquired through the microcomputer, and the new cloud data is completely acquired through the special local area network, and the identification result is stored.
6. The transmission line tower geological disaster monitoring and analyzing method based on deformation detection according to claim 1, wherein in the step S3, the acquired tower data are based on deformation detection by a professional, the acquired point cloud data and pre-stored point cloud data of which the tower is not inclined are calculated by a microcomputer through a point cloud algorithm, offset data of the point cloud data are acquired through calculation, the tower inclination deformation condition is intelligently identified by the microcomputer through the offset data of the point cloud data and the point cloud position, meanwhile, the tower data are transmitted to a general background computer through a special local area network by the microcomputer, the tower data comprise the tower inclination deformation condition and the tower position data, the professional firstly searches geological disaster data through the tower position data after receiving the tower data through the general background computer, and the professional monitors and analyzes the influence degree of the geological disaster on the tower inclination deformation by combining the disaster geological disaster data of the position of the tower after the search is completed.
7. The deformation detection-based transmission line tower geological disaster monitoring and analyzing method according to claim 1, wherein in S4, a monitoring and analyzing model is constructed by a professional, and the constructed monitoring and analyzing model is trained, wherein analysis model training is performed by modifying the tower data and the geological disaster data of the position of the tower, and the tower data and the geological disaster data of the position of the tower are real data of the existing database, and the model training result is compared with the professional analysis result, and a judgment is performed by the comparison result, wherein the judgment result shows that the model training result is correct when the model analysis result is consistent with the professional analysis result, the judgment result shows that the model training result is incorrect when the model training result is inconsistent with the professional analysis result, and the number of data modification times in one training period is not less than 1000, the model analysis accuracy is calculated by the professional after completion of one training period, the model analysis accuracy is judged by the model analysis accuracy data obtained by the professional, and the model analysis accuracy data obtained by judgment result display is equal to 100%, the model analysis accuracy is judged to be completed after the model analysis result is not complete by the model training algorithm is completely cleared, the model is completely trained by the professional after the model is completely modified by the judgment result, and training again until the obtained model analysis accuracy data is equal to 100%, stopping training, and applying the analysis model.
8. The deformation detection-based transmission line tower geological disaster monitoring and analyzing method according to claim 1, wherein in the step S5, real-time data updating is performed by professionals, real-time geological disaster data are obtained by professionals through network searching and database connection during the real-time data updating, the geological disaster database of the general background computer is updated through the obtained real-time geological disaster data, and meanwhile, the content of the updated geological disaster database is uploaded to a cloud for storage.
9. The utility model provides a transmission line shaft tower geology disaster monitoring analysis system based on deformation detection, includes setting up module, connection module, data acquisition module, scans and creates module, send module, identification module, monitoring analysis module, calculation module, intelligent identification module, builds module, training module and real-time update module, its characterized in that, setting up module is connected with connection module, connection module is connected with data acquisition module, data acquisition module is connected with scanning and creates the module, the scanning is created the module and is connected with the send module, send module is connected with identification module, identification module is connected with monitoring analysis module, monitoring analysis module is connected with calculation module, calculation module is connected with intelligent identification module, intelligent identification module is connected with the construction module, the construction module is connected with the training module, the training module is connected with real-time update module.
10. The transmission line tower geological disaster monitoring and analyzing system based on deformation detection according to claim 9, wherein the establishing module is used for establishing a transmission line, the connecting module is used for connecting internal devices and equipment of the transmission line, the data acquisition module is used for acquiring data of a tower through the established transmission line, the scanning creation module is used for scanning and creating point clouds through a three-dimensional imaging sensor, the sending module is used for sending the created point cloud data to a microcomputer through a special local area network, the identification module is used for identifying the received point cloud data, the monitoring and analyzing module is used for monitoring and analyzing the transmission line tower geological disaster based on deformation detection, the calculating module is used for acquiring offset data of the point cloud data through calculation, the intelligent identification module is used for intelligently identifying the inclination deformation condition of the tower through the offset data of the point cloud data and the point cloud position, the construction module is used for constructing a monitoring and analyzing model, the training module is used for training the constructed monitoring and analyzing model, and the real-time updating module is used for updating real-time data.
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