Power transmission pole inclination potential safety hazard identification method

Abstract

The invention discloses a power transmission pole inclination potential safety hazard identification method, and relates to the technical field of electric power safety. In order to solve the problems that maintenance is carried out after obvious problems exist in a telegraph pole, certain hysteresis exists in the mode, potential risks cannot be prevented, power transmission is possibly interrupted, and even larger safety accidents are caused. The invention discloses a power transmission pole inclination potential safety hazard identification method. The method comprises the following steps: 1, data acquisition; 2, identifying potential safety hazards; step 3, evaluating potential safety hazards; 4, generating a maintenance scheme; by processing and analyzing the data, classifying and evaluating the potential safety hazards, monitoring the inclination angle of the power transmission pole in real time, accurately identifying the existing inclination potential safety hazards and the influence on different types of potential safety hazards, and timely taking corresponding measures for processing to guide workers to timely process the potential safety hazards. And the power transmission efficiency and safety are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power safety, and in particular to a method for identifying safety hazards of transmission line pole inclination. Background Art

[0002] Transmission poles are an important part of the power transmission network, and their safety and stability are crucial to the normal operation of the power system. However, due to various reasons, such as natural disasters, geological changes, etc., transmission poles may tilt, and various safety hazards may occur on the poles, such as cracks, corrosion, looseness, etc., which require timely maintenance. At present, the maintenance of poles mainly relies on manual inspections, which is not only inefficient, but also prone to missed inspections and cannot achieve real-time monitoring.

[0003] Regarding the identification of safety hazards of transmission line pole tilt, the Chinese patent with publication number CN204142238U discloses a transmission line tower tilt monitoring system based on the Beidou satellite system, including Beidou satellites, Beidou terminals, and Beidou GPS dual-mode receivers. Beidou satellites and Beidou terminal equipment constitute the Beidou communication system. Beidou GPS dual-mode receivers receive Beidou satellite data and send them to the background information control center, which is displayed in various forms such as images or data texts, so as to understand the tilt angle of the tower and make corresponding preparations in advance. The system uses a user terminal with high sampling rate, high precision, and high reliability that integrates dynamic deformation monitoring and monitoring data transmission to monitor the tilt angle of the transmission line tower in real time in the along-line direction and in the horizontal direction, grasp its operating status in a timely manner, and take corresponding measures before an accident occurs.

[0004] Although the above patents can understand the inclination angle of the tower in the form of images or data, there are still the following problems: In the existing technology, it is impossible to promptly discover the potential safety hazards after tilting, and maintenance is only carried out after obvious problems with the poles are found. This method has a certain lag and cannot prevent potential risks, which may cause power transmission interruptions and even lead to greater safety accidents. Summary of the invention

[0005] The purpose of the present invention is to provide a method for identifying safety hazards of transmission line pole inclination. By processing and analyzing data, classifying and evaluating safety hazards, the existing safety hazards of inclination and the impact of different types of safety hazards can be accurately identified, and corresponding measures can be taken in time to deal with them, guide staff to deal with the hazards in time, improve the efficiency and safety of power transmission, and solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions: A method for identifying hidden safety hazards of transmission line pole tilting comprises the following steps: Step 1: Data acquisition: Install sensors on transmission poles to collect real-time monitoring data of transmission poles based on sensors. Connect the sensors to the remote processing platform based on the Internet of Things. The remote processing platform is used to receive and process the safety detection data monitored by the sensors. Step 2: Identification of safety hazards. The remote processing platform processes the collected data, identifies patterns that may have safety hazards, establishes a calculation model based on the patterns of safety hazards, inputs the collected safety detection data into the calculation model for calculation, and obtains the calculation results. Step 3: Safety hazard assessment: setting safety hazard level thresholds based on safety hazard patterns, classifying and assessing the identified safety hazard patterns based on calculation results, and triggering corresponding safety alarms based on safety hazard level classifications; Step 4: Generate a maintenance plan and send the security alarm information to the terminal where the maintenance personnel are located. At the same time, based on the evaluation results, generate corresponding maintenance suggestions or maintenance plans and send them to the terminal where the maintenance personnel are located simultaneously.

[0007] Furthermore, the data acquisition in step 1 includes: Preprocessing the real-time monitoring data, obtaining the number of transmission line poles contained in the real-time monitoring data, and establishing a corresponding data storage space based on the number of transmission line poles; Determine the position data of the transmission line pole based on the Beidou positioning signal carried by the real-time monitoring data, and label the transmission line pole based on the position data; The remote processing platform establishes a remote monitoring map, and displays labels of corresponding positions in the remote monitoring map.

[0008] Furthermore, with respect to data acquisition in step one, it also includes: obtaining initial values ​​of the transmission pole, preprocessing the initial values ​​of the transmission pole, obtaining initial tilt angles contained in the initial values, and storing the initial tilt angles as sample data.

[0009] Furthermore, the remote processing platform in step 2 processes the collected data, specifically including: Acquiring a data type of the safety detection data, classifying the data based on the data type of the safety detection data, and determining a mode of detecting safety hazards of transmission line poles based on the data type classification result; Based on the data type classification results, the appearance of the transmission poles is inspected using image recognition technology to identify potential appearance safety hazards; Based on the data type classification results, possible operational safety hazards can be identified by analyzing temperature, humidity, and wind speed data; Based on the data type classification results, possible environmental safety hazards can be identified by analyzing the surrounding environment.

[0010] Furthermore, a calculation model is established for the model based on the potential safety hazard in step 2, specifically including: Establishing an inclination angle calculation model, inputting sample data of the transmission line pole into the inclination angle calculation model to determine the initial inclination angle of the transmission line pole; Extract the inclination angle data and direction data of the transmission line pole from the safety detection data acquired in real time, compare the inclination angle data and direction data with the initial values, determine the comparison difference, and determine the degree of deviation of the transmission line pole from the initial inclination angle based on the comparison difference.

[0011] Furthermore, if the comparison difference is 0, there is no tilt; if the comparison difference is not 0, the tilt direction of the transmission pole is determined based on the direction data.

[0012] Furthermore, the safety hazard assessment in step 3 specifically includes: Based on the deviation degree and tilt direction data of the transmission line pole tilt angle, determine the impact of the current deviation degree and tilt direction on identifying possible safety hazards; Assess the probability and severity of risks that may be caused by the transmission pole based on the impact of the potential safety hazards identified; The safety factor of the transmission pole is calculated based on the probability and severity of risks that may occur to the transmission pole, and a safety alarm is sent based on a threshold value of the safety factor that matches the corresponding safety alarm.

[0013] Furthermore, when the safety factor exceeds the first-level threshold, a first-level safety alarm is triggered to remind maintenance personnel to conduct inspections; when the safety factor exceeds the second-level threshold, a second-level safety alarm is triggered to prompt maintenance personnel to perform emergency repairs based on the maintenance plan.

[0014] Furthermore, after the safety alarm is triggered and the instruction is sent, the safety alarm information is stored in the database. After the maintenance personnel conduct an inspection or provide data feedback after maintenance, the alarm reminder is ended on the remote processing platform.

[0015] Furthermore, the maintenance plan generated in step 4 also includes: determining the maintenance items, maintenance cycles and maintenance methods required for each transmission pole based on its safety status and the size of potential risks; maintenance personnel maintain and repair the poles according to the formulated maintenance plan; and updating and optimizing the maintenance plan based on feedback data from the maintenance personnel.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. Through data processing and analysis, it is possible to accurately identify different types of potential safety hazards in transmission poles. The classification and evaluation of safety hazards can provide a scientific basis for maintenance and early warning, monitor the inclination angle of transmission poles in real time, monitor the status of transmission poles in real time, accurately identify the existing inclination safety hazards and the impact on different types of safety hazards, and take corresponding measures in time to deal with them, guide staff to deal with hazards in time, and improve the efficiency and safety of power transmission.

[0017] 2. By realizing the identification of safety hazards in multiple aspects such as tilt angle measurement, structural stability analysis, bearing capacity assessment, and environment, the identification of each safety hazard can predict the risks and safety problems that may arise during use, timely discover and explore potential safety hazards, and ensure the stable operation of the power system. At the same time, it provides a data basis for the formulation of corresponding preventive measures and emergency plans to ensure the safe use of transmission poles.

[0018] 3. Evaluate the safety hazards of transmission poles in an automated and intelligent manner, calculate the safety factor based on the probability and severity of risks that may arise from the transmission poles, and improve the efficiency and accuracy of the evaluation; at the same time, through real-time data monitoring and early warning systems, safety hazards can be discovered and dealt with in a timely manner, greatly reducing the risks of the power transmission network. According to the severity of the safety hazards, corresponding maintenance suggestions or early warning information are given, which greatly reduces labor costs. At the same time, a large amount of maintenance costs can be saved by optimizing operating procedures and reducing unnecessary interventions. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a flow chart of the method for identifying safety hazards of transmission line pole tilting according to the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] In order to solve the technical problem that the poles are repaired only after obvious problems are found, this method has a certain lag and cannot prevent potential risks, which may cause power transmission interruption and even cause greater safety accidents. Please refer to Figure 1 , this embodiment provides the following technical solutions: A method for identifying hidden safety hazards of transmission line pole tilting comprises the following steps: Step 1: Data acquisition: Install sensors on transmission poles to collect real-time monitoring data of transmission poles based on sensors. It also includes collecting various data of transmission poles, including service life, material, structural design, environmental factors, etc. The sensors are connected to the remote processing platform based on the Internet of Things. The remote processing platform is used to receive and process the safety detection data monitored by the sensors; In this embodiment, the data acquisition in step 1 includes: Preprocessing the real-time monitoring data, obtaining the number of transmission line poles contained in the real-time monitoring data, and establishing a corresponding data storage space based on the number of transmission line poles; Determine the position data of the transmission line pole based on the Beidou positioning signal carried by the real-time monitoring data, and label the transmission line pole based on the position data; The remote processing platform establishes a remote monitoring map, and displays labels of corresponding positions in the remote monitoring map; Acquire initial values ​​of the transmission line pole, pre-process the initial values ​​of the transmission line pole, acquire initial tilt angles contained in the initial values, and store the initial tilt angles as sample data; In this embodiment, by determining the initial value before the tilt detection to determine the reference point, that is, the upright position of the transmission pole under normal circumstances, the benchmark degree of real-time monitoring data calculation is effectively improved, the calculation accuracy is improved, and the situation that the error in the sensor data collection leads to an increase in the calculation error and affects the safety hazard identification effect is avoided. In addition, by obtaining the position of each transmission pole and labeling each transmission pole one by one, the remote management of the remote processing platform is convenient, and it can be easily integrated into the existing network security management system, thereby improving the scalability and flexibility of the system, realizing the automatic identification and classification of safety hazards, improving work efficiency, and reducing the impact of human factors on the classification and evaluation of safety hazards. Step 2: Identification of safety hazards. The remote processing platform processes the collected data, identifies patterns that may have safety hazards, establishes a calculation model based on the patterns of safety hazards, inputs the collected safety detection data into the calculation model for calculation, and obtains the calculation results. In this embodiment, a calculation model is established for the mode based on the potential safety hazard in step 2, specifically including: establishing a tilt angle calculation model, inputting sample data of the transmission pole into the tilt angle calculation model to determine the initial tilt angle of the transmission pole; extracting the tilt angle data and direction data of the transmission pole in the safety detection data acquired in real time, comparing the tilt angle data and direction data with the initial values, determining the comparison difference, and determining the degree of deviation of the transmission pole from the initial tilt angle based on the comparison difference; if the comparison difference is 0, there is no tilt; if the comparison difference is not 0, judging the tilt direction of the transmission pole based on the direction data; In this embodiment, by real-time monitoring of the inclination angle of the transmission pole, the initial value may include the angle between the top and bottom of the transmission pole and the vertical line, and the inclination angle data and the direction data are compared with the initial value to determine the comparison difference, thereby determining the degree of deviation of the transmission pole from the initial inclination angle, using the initial value as sample data for comparison, and performing calculations through the monitoring data obtained in real time, further improving the calculation accuracy, judging the degree of deviation and the inclination direction of the transmission pole based on the inclination angle data and the direction data of the transmission pole, recording the measured data, and recording the measurement time, measurement model and other information for subsequent analysis; Step 3: Safety hazard assessment: setting safety hazard level thresholds based on safety hazard patterns, classifying and assessing the identified safety hazard patterns based on calculation results, and triggering corresponding safety alarms based on safety hazard level classifications; In this embodiment, the structural stability of the transmission pole can be analyzed according to the inclination angle, and the stability of the transmission pole under different load conditions can be evaluated by using mechanical models or finite element analysis methods. Based on the collected data on the service life, material, structural design, environmental factors, etc. of the transmission pole, the strength, stiffness and stability of the transmission pole can be judged, the actual load condition of the transmission pole can be evaluated, and its bearing capacity can be evaluated. Natural disasters, climate and soil around the transmission pole can be evaluated and their impact on the tilted transmission pole can be analyzed. The safety hazards at the current inclination angle and direction and the degree of impact on the identified safety hazards can be judged, and the safety factor of the current safety hazard can be further determined.

[0022] Step 4: Generate a maintenance plan, send the safety alarm information to the terminal where the maintenance personnel are located, and generate corresponding maintenance suggestions or maintenance plans based on the evaluation results, and send them to the terminal where the maintenance personnel are located simultaneously. The safety alarm information can also be notified to other relevant personnel through mobile phone text messages, emails, etc.; according to the safety status of each transmission line pole and the size of the potential risk, determine the maintenance items, maintenance cycles and maintenance methods required, and the maintenance personnel will maintain and repair the poles according to the formulated maintenance plan, and update and optimize the maintenance plan based on the feedback data of the maintenance personnel; In this embodiment, the status of the transmission poles can be monitored in real time, potential safety hazards can be discovered, and a maintenance plan can be automatically generated based on relevant information, thereby improving maintenance efficiency and reducing the possibility of missed detections; at the same time, the maintenance plan can be sent to maintenance personnel in a timely manner, and the maintenance personnel maintain and repair the poles according to the formulated maintenance plan, thereby improving the timeliness of maintenance; in addition, by receiving feedback information from maintenance personnel and updating and optimizing the maintenance plan based on the feedback data from the maintenance personnel, the maintenance plan can be optimized and adjusted, thereby improving the quality of maintenance.

[0023] Specifically, through the processing and analysis of data, it is possible to accurately identify different types of potential safety hazards in transmission poles. The classification and evaluation of safety hazards can provide a scientific basis for maintenance and early warning, monitor the inclination angle of transmission poles in real time, monitor the status of transmission poles in real time, accurately identify existing inclination safety hazards and the impact on different types of safety hazards, and take corresponding measures in a timely manner to deal with them, guide staff to deal with hazards in a timely manner, and improve the efficiency and safety of power transmission.

[0024] In this embodiment, the remote processing platform in step 2 processes the collected data, specifically including: obtaining the data type of the safety detection data, classifying the data based on the data type of the safety detection data, and determining the detection safety hazard pattern of the transmission pole based on the data type classification result; based on the data type classification result, the appearance of the transmission pole is detected by image recognition technology to identify possible appearance safety hazards. For example, the transmission pole is exposed to the natural environment for a long time and is susceptible to corrosion or wear. It can be detected whether the transmission pole has cracks, deformation, rust, etc.; based on the data type classification result, by analyzing the temperature, humidity, and wind speed data, possible operation safety hazards are identified, such as line overheating, strong wind causing line swaying, etc.; based on the data type classification result, by analyzing the surrounding environment, possible environmental safety hazards are identified, including factors such as climate, soil, chemicals, and the impact of natural disasters on transmission poles.

[0025] In this embodiment, the tension value of the transmission pole when carrying different weights can be measured by a tension meter and other equipment. If the tension value of the transmission pole exceeds the allowable range, there will be a safety hazard, which needs to be dealt with in time; by evaluating the corrosion of the transmission pole, the degree of corrosion and the remaining service life can be determined. If the degree of corrosion of the transmission pole is severe, there will be a safety hazard; by investigating and analyzing the surrounding environment, it can be determined whether there is a possibility of natural disasters affecting it. The distance from the surrounding buildings and roads can also be determined by analyzing the surrounding environment, and whether the position of the transmission pole meets the safety distance requirements, so as to realize the identification of safety hazards in multiple aspects such as inclination angle measurement, structural stability analysis, bearing capacity assessment, and environment. By identifying various safety hazards, it is possible to predict the risks and safety problems that may occur during its use, timely discover and explore potential safety hazards, ensure the stable operation of the power system, and provide a data basis for formulating corresponding preventive measures and emergency plans to ensure the safe use of transmission poles.

[0026] In this embodiment, the safety hazard assessment in step 3 specifically includes: Based on the deviation degree and tilt direction data of the transmission line pole tilt angle, determine the impact of the current deviation degree and tilt direction on identifying possible safety hazards; Assess the probability and severity of risks that may be caused by the transmission pole based on the impact of the potential safety hazards identified; Calculate the safety factor of the transmission line pole based on the probability and severity of the risk that may occur to the transmission line pole, and send a safety alarm instruction corresponding to the threshold value of the safety factor; When the safety factor exceeds the first-level threshold, a first-level safety alarm is triggered to remind maintenance personnel to conduct inspections; when the safety factor exceeds the second-level threshold, a second-level safety alarm is triggered to remind maintenance personnel to perform emergency repairs based on the maintenance plan. After the safety alarm is triggered to send an instruction, the safety alarm information is stored in the database. After the maintenance personnel conduct inspections or provide data feedback after maintenance, the alarm reminder is ended on the remote processing platform for subsequent query and analysis, and all operation histories of the transmission poles are recorded to facilitate subsequent audits and problem tracking, making management more standardized and reliable.

[0027] In this embodiment, the safety hazard assessment of the transmission pole is performed in an automated and intelligent manner, and the degree of influence of the deviation degree of the current inclination angle and the inclination direction on the identification of possible safety hazards is determined based on the deviation degree of the inclination angle of the transmission pole and the inclination direction data, so that the safety factor is calculated according to the risk probability and severity that may be generated by the transmission pole, thereby improving the efficiency and accuracy of the assessment; at the same time, through real-time data monitoring and early warning systems, safety hazards can be discovered and handled in a timely manner, greatly reducing the risks of the power transmission network, and corresponding maintenance suggestions or early warning information are given according to the severity of the safety hazards, which greatly reduces labor costs. At the same time, a large amount of maintenance costs can be saved by optimizing operating procedures and reducing unnecessary interventions.

[0028] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for identifying hidden safety hazards of transmission line pole tilt, characterized by: The following steps are involved: Step 1: Data acquisition: Install sensors on transmission poles to collect real-time monitoring data of transmission poles based on sensors. Connect the sensors to the remote processing platform based on the Internet of Things. The remote processing platform is used to receive and process the safety detection data monitored by the sensors. Step 2: Identification of safety hazards. The remote processing platform processes the collected data, identifies patterns that may have safety hazards, establishes a calculation model based on the patterns of safety hazards, inputs the collected safety detection data into the calculation model for calculation, and obtains the calculation results. Step 3: Safety hazard assessment: setting safety hazard level thresholds based on safety hazard patterns, classifying and assessing the identified safety hazard patterns based on calculation results, and triggering corresponding safety alarms based on safety hazard level classifications; Step 4: Generate a maintenance plan and send the security alarm information to the terminal where the maintenance personnel are located. At the same time, based on the evaluation results, generate corresponding maintenance suggestions or maintenance plans and send them to the terminal where the maintenance personnel are located simultaneously.

2. A method for identifying safety hazards of transmission line pole tilt according to claim 1, characterized in that: For data acquisition in step 1, it includes: Preprocessing the real-time monitoring data, obtaining the number of transmission line poles contained in the real-time monitoring data, and establishing a corresponding data storage space based on the number of transmission line poles; Determine the position data of the transmission line pole based on the Beidou positioning signal carried by the real-time monitoring data, and label the transmission line pole based on the position data; The remote processing platform establishes a remote monitoring map, and displays labels of corresponding positions in the remote monitoring map.

3. A method for identifying safety hazards of transmission line pole tilt according to claim 2, characterized in that: With respect to data acquisition in step one, it also includes: obtaining initial values ​​of the transmission line poles, preprocessing the initial values ​​of the transmission line poles, obtaining initial tilt angles contained in the initial values, and storing the initial tilt angles as sample data.

4. A method for identifying safety hazards of transmission line pole tilt according to claim 3, characterized in that: The remote processing platform in step 2 processes the collected data, specifically including: Acquiring a data type of the safety detection data, classifying the data based on the data type of the safety detection data, and determining a mode of detecting safety hazards of transmission line poles based on the data type classification result; Based on the data type classification results, the appearance of the transmission poles is inspected using image recognition technology to identify potential appearance safety hazards; Based on the data type classification results, possible operational safety hazards can be identified by analyzing temperature, humidity, and wind speed data; Based on the data type classification results, possible environmental safety hazards can be identified by analyzing the surrounding environment.

5. A method for identifying safety hazards of transmission line pole tilt according to claim 4, characterized in that: A calculation model is established based on the safety hazard model in step 2, including: Establishing an inclination angle calculation model, inputting sample data of the transmission line pole into the inclination angle calculation model to determine the initial inclination angle of the transmission line pole; Extract the inclination angle data and direction data of the transmission line pole from the safety detection data acquired in real time, compare the inclination angle data and direction data with the initial values, determine the comparison difference, and determine the degree of deviation of the transmission line pole from the initial inclination angle based on the comparison difference.

6. A method for identifying safety hazards of transmission line pole tilt according to claim 5, characterized in that: If the comparison difference is 0, there is no tilt. If the comparison difference is not 0, the tilt direction of the transmission pole is determined based on the direction data.

7. A method for identifying safety hazards of transmission line pole tilt according to claim 6, characterized in that: The safety hazard assessment in step 3 specifically includes: Based on the deviation degree and tilt direction data of the transmission line pole tilt angle, determine the impact of the current deviation degree and tilt direction on identifying possible safety hazards; Assess the probability and severity of risks that may be caused by the transmission pole based on the impact of the potential safety hazards identified; The safety factor of the transmission pole is calculated based on the probability and severity of risks that may occur to the transmission pole, and an instruction is sent based on a corresponding safety alarm matching a threshold value of the safety factor.

8. A method for identifying safety hazards of transmission line pole tilt according to claim 7, characterized in that: When the safety factor exceeds the first-level threshold, a first-level safety alarm is triggered to remind maintenance personnel to conduct inspections; when the safety factor exceeds the second-level threshold, a second-level safety alarm is triggered to prompt maintenance personnel to perform emergency repairs based on the maintenance plan.

9. A method for identifying safety hazards of transmission line pole tilt according to claim 8, characterized in that: After the safety alarm is triggered and the instruction is sent, the safety alarm information is stored in the database. After the maintenance personnel conducts inspection or provides data feedback after maintenance, the alarm reminder is ended on the remote processing platform.

10. A method for identifying safety hazards of transmission line pole tilt according to claim 9, characterized in that: The maintenance plan generated in step 4 also includes: determining the maintenance items, maintenance cycles and maintenance methods required for each transmission pole based on its safety status and the size of potential risks; maintenance personnel maintain and repair the poles according to the formulated maintenance plan; and updating and optimizing the maintenance plan based on feedback data from maintenance personnel.

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