Multi-sensor tower state analysis and monitoring method
By creating tower models, simulating faults and installing sensors, the problem of tower fault identification lag in the existing technology is solved, and early identification and early warning of faults is achieved, ensuring the safe and stable use of towers.
Patent Information
- Application Number
- CN202510039435.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-10
- Publication Date
- 2025-06-27
Smart Images
Figure CN120213110A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of pole and tower monitoring, and more specifically, relates to a multi-sensor pole and tower state analysis and monitoring method. Background Art
[0002] The traditional detection of poles and towers uses manual line patrol, but this method is time-consuming and laborious and cannot detect pole and tower failures in a timely manner. In existing pole and tower state monitoring methods, multiple sensors are installed at corresponding positions of pole and tower components, and then the values feedback by the multiple sensors are used to comprehensively evaluate the state of the pole and tower. To a certain extent, it greatly improves the accuracy of pole and tower state monitoring and is beneficial to the safe operation of the power system.
[0003] However, the above method more judges the state of the pole and tower by determining whether the pole and tower is tilted, which leads to a certain lag. Because the pole and tower is a device for supporting the line built of steel structure and has a large structural strength, when the components on the pole and tower show perceptible deformation and position offset, the accident has already occurred and cannot be recovered. This results in the failure to timely and effectively identify pole and tower failures and the inability to give early warnings for corresponding fault points in a timely manner, thus causing greater property losses. Summary of the Invention
[0004] The purpose of the present invention is to provide a multi-sensor pole and tower state analysis and monitoring method, aiming to solve the problems that faults cannot be timely and effectively identified, and early warnings for corresponding fault points cannot be given in a timely manner, resulting in greater property losses.
[0005] To achieve the above purpose, the technical solution adopted by the present invention is: providing a multi-sensor pole and tower state analysis and monitoring method, including: Creating a model of the pole and tower in equal proportion and making the model have the same physical properties as the pole and tower; simulating various possible faults of the pole and tower, determining multiple monitoring points that can characterize the corresponding faults through different fault simulations on the model; clarifying the types of sensors required for detecting the states of the monitoring points, installing the sensors and providing real-time feedback of data; monitoring the positions and states of each component of the pole and tower in real time, and giving an early warning if the position and shape of the component change; otherwise, clarifying the external force data received by the pole and tower in real time in combination with the weather conditions of the day, and restoring the external force data to the model with the same effect; analyzing possible accident problems based on the changes in the state of the model under the external force data, analyzing and recording the states of multiple monitoring points associated with the accident problems in real time, and completing the determination of the stability and safety of the pole and tower in advance.
[0006] In a possible implementation manner, the creating a model of the pole and tower in equal proportion and making the model have the same physical properties as the pole and tower includes: Simulate the changing trend of the bearing capacity of the pole tower support foundation in the model; Simulate the acting force of the line on the pole tower under different external environments, and apply the acting force to the model.
[0007] In a possible implementation manner, the multiple monitoring points that can characterize corresponding faults determined by performing different fault simulations through the model include: Combined with historical data and the structure of the model, judge the positions where stress concentration and pressure change first occur during a fault; Analyze and clarify the relevance of the state changes of multiple monitoring points corresponding to the same type of fault.
[0008] In a possible implementation manner, the types of sensors required to clarify the state detection of the monitoring points include: According to different fault types, clarify the types of sensors required to obtain the data of the monitoring points; Bind the data of multiple sensors belonging to the same fault type.
[0009] In a possible implementation manner, the real-time monitoring of the positions and states of each component of the pole tower includes: Use drones and position detectors to perform real-time monitoring on the positions and shapes of each component in the pole tower.
[0010] In a possible implementation manner, the analysis of possible accident problems based on the change of the state of the model under the external force data includes: Compare the data fed back by the sensors with the changes in the state and parameters of the corresponding positions in the model; if the difference between the two exceeds the preset standard value, judge that the data is abnormal and perform active verification.
[0011] In a possible implementation manner, the step of judging that the data is abnormal if the difference between the two exceeds the preset standard value and performing active verification includes: Analyze the reasons for the abnormal data of the corresponding sensors, and compare the degree of numerical change of other sensors belonging to the same fault type to judge whether it conforms to the fault characteristics; if not, perform separate inspections.
[0012] In a possible implementation manner, the step of combining the weather conditions of the day to clarify the external force data received by the pole tower in real time and restoring the external force data to the same effect in the model includes: Determine the external environment parameters where the current pole tower is located through the weather detection component installed on the pole tower; Simulate the determined environmental parameters in the model so that the model is subjected to the same force.
[0013] In a possible implementation manner, the real-time determination of the external force data received by the pole tower in combination with the weather conditions of the day and the restoration of the equivalent effect of the external force data to the model include: Determine the shape of the line supported on the pole tower in real time, determine the magnitude and direction of the force exerted by the line on the pole tower in combination with the physical parameters of the line, and feedback them to the model.
[0014] In a possible implementation manner, the real-time analysis and recording of the states of multiple monitoring points associated with the accident problem include: Simulate the variation characteristics of the feedback values of the corresponding multiple sensors in different faults; Combine the current weather and the swinging condition of the line, analyze the possible faults, then compare the corresponding multiple sensors with the corresponding fault cases, and judge the current state of the pole tower.
[0015] The beneficial effects of the multi-sensor pole tower state analysis and monitoring method provided by the present invention are as follows: Compared with the prior art, in the multi-sensor pole tower state analysis and monitoring method of the present invention, a model of the pole tower is first created in equal proportion and the model has the same physical properties as the pole tower; various possible faults of the pole tower are simulated, and multiple monitoring points capable of characterizing the corresponding faults are determined through the model for different fault simulations.
[0016] In actual application, the positions and states of the components of the pole tower are monitored in real time. If the positions and shapes of the components change, a warning is issued; otherwise, the external force data received by the pole tower is clearly determined in real time in combination with the weather conditions of the day, and the equivalent effect of the external force data is restored to the model. Finally, according to the change of the state of the model under the external force data, the possible accident problems are analyzed, and the states of multiple monitoring points associated with the accident problems are analyzed and recorded in real time. This application can identify the possible faults on the pole tower in advance and effectively, improve the timeliness of fault detection, ensure the safe and stable use of the pole tower, and avoid the occurrence of major accidents. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.
[0018] Figure 1 It is a flowchart of the multi-sensor pole tower state analysis and monitoring method provided by the embodiment of the present invention. DETAILED DESCRIPTION
[0019] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clear and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.
[0020] Please refer to Figure 1 , and now a multi-sensor tower state analysis and monitoring method provided by the present invention will be described. The multi-sensor tower state analysis and monitoring method includes: Create a model of the tower in proportion and make the model have the same physical characteristics as the tower; simulate various possible faults of the tower, and determine multiple monitoring points that can characterize the corresponding faults through different fault simulations on the model.
[0021] Specify the types of sensors required for detecting the status of the monitoring points, and install the sensors and provide real-time feedback of data.
[0022] Monitor the position and status of each component of the tower in real time. If the position and shape of the component change, give an alarm; otherwise, in combination with the weather conditions of the day, clarify the external force data received by the tower in real time, and restore the equivalent effect of the external force data to the model.
[0023] Analyze the possible accident problems based on the change of the status of the model under the external force data, analyze and record the status of multiple monitoring points associated with the accident problems in real time, and complete the determination of the stability and safety of the tower in advance.
[0024] The beneficial effect of the multi-sensor tower state analysis and monitoring method provided by the present invention is that: compared with the prior art, in the multi-sensor tower state analysis and monitoring method of the present invention, first create a model of the tower in proportion and make the model have the same physical characteristics as the tower; simulate various possible faults of the tower, and determine multiple monitoring points that can characterize the corresponding faults through different fault simulations on the model.
[0025] In actual application, monitor the position and status of each component of the tower in real time. If the position and shape of the component change, give an alarm; otherwise, in combination with the weather conditions of the day, clarify the external force data received by the tower in real time, and restore the equivalent effect of the external force data to the model. Finally, analyze the possible accident problems based on the change of the status of the model under the external force data, analyze and record the status of multiple monitoring points associated with the accident problems in real time. This application can identify possible faults on the tower in advance and effectively, improve the timeliness of fault detection, ensure the safe and stable use of the tower, and avoid the occurrence of major accidents.
[0026] The areas and terrains where distribution lines are located are complex, which results in diverse forms of poles and towers for overhead distribution lines. Different tower structures lead to different stresses borne by tower materials in different regions under the action of typhoons. This causes different damaged parts of poles and towers of different tower types during the same typhoon process.
[0027] In some embodiments of the multi-sensor pole and tower status analysis and monitoring method provided in this application, creating a model of the pole and tower in proportion and enabling the model to have the same physical properties as the pole and tower includes: Simulating the change trend of the bearing capacity of the pole and tower support foundation in the model.
[0028] Simulating the force conditions of the lines on the pole and tower under different external environments and applying the forces to the model.
[0029] According to the prior art, when the tower shows an inclination phenomenon, the degree of danger of the tower state is judged based on the size of the inclination angle. It is possible that there is uniform geological settlement at the foundation but no obvious inclination of the iron tower. Although the iron tower is safe based on the inclination angle index at this time, the safety factor of the tower has decreased and it may be difficult to withstand the additional changing loads. Therefore, it is difficult to comprehensively reflect the safety state of the system only relying on the current detection data of the inclination angle.
[0030] And for the state monitoring system constructed by integrating multi-source information such as tower body inclination, conductor tension, tower material stress, cameras, and micro-meteorology, although it can make up for the disadvantages of insufficient single inclination data criterion, in actual applications, limited by the current technical level and the harsh on-site environment, there are often situations such as difficult power supply for measurement and communication devices, high failure rate of sensors, contradictions between different test data, and low system reliability.
[0031] In some embodiments of the multi-sensor pole and tower status analysis and monitoring method provided in this application, determining multiple monitoring points that can characterize corresponding faults through different fault simulations in the model includes: Combining historical data and the structure of the model to judge the positions where stress concentration and pressure change first occur when a fault occurs.
[0032] Analyzing and clarifying the relevance of the state changes of multiple monitoring points corresponding to the same type of fault.
[0033] Traditional iron tower status monitoring mostly relies on manual line patrols, which is still retained now, but has problems such as large workload, low accuracy, and high cost. One is to arrange inclination sensors at 2 / 3 of the tower body and the tower top to directly measure the inclination of the tower body. Another type is to arrange inclination sensors, stress sensors, vibration sensors, micro-meteorology sensors, tension sensors, cameras, etc. on the tower body to obtain all data of the stress, stress, appearance, and environment of the entire tower body.
[0034] However, it should be noted that when the pole tower is in different states, the corresponding possible faults will also vary. For example, in heavy snow weather, due to the relatively thick snow cover, there may first be a certain degree of settlement at this time, and when there is more snow accumulation, it will tilt. And when in strong wind weather, since the line is blown and swayed by the wind, at this time, the pole tower may have plastic deformation of some components and then tilt. Therefore, different situations require different detection focuses, and the ultimate goal is to accurately identify different faults in advance.
[0035] In some embodiments of the multi-sensor pole tower state analysis and monitoring method provided in the present application, the types of sensors required for detecting the state of the monitoring points are clearly defined as follows: According to different fault types, the types of sensors required to obtain the data of the monitoring points are clearly defined.
[0036] Bind the data of multiple sensors belonging to the same fault type.
[0037] At present, the power system pays particular attention to the reliability of the distribution network and the disaster situation in extreme weather such as typhoons. However, the traditional online monitoring means of the distribution network mainly focus on electrical performance and lack the stress system monitoring of different areas of the pole tower. To accurately evaluate the wind resistance and typhoon prevention performance of pole towers of different tower shapes, it is necessary to simultaneously carry out stress monitoring of different parts.
[0038] The pole tower has different service lives and when in different external environments, the possible faults that the pole tower may have are also different. The existing method is to install tilt detectors on one side of the pole tower. The main working principle of these tilt detectors is to detect the positional relationship of the pole tower in real time. Once the components on the pole tower change their positions or deform, the state of the entire pole tower may change.
[0039] It should be noted that the above detection method has a certain lag, that is, it can only identify the change in the state of the pole tower after the components have irreversible problems. Therefore, although it has a certain role, it cannot predict in advance in a timely and effective manner.
[0040] The present application aims to provide a method for predicting in advance the possible problems of the pole tower. This method can effectively monitor the key positions of the pole tower according to different states of the pole tower, so as to predict its state in advance.
[0041] In some embodiments of the multi-sensor pole tower state analysis and monitoring method provided in the present application, the real-time monitoring of the positions and states of each component of the pole tower includes: Use drones and position detectors to monitor the positions and shapes of each component in the pole tower in real time.
[0042] It should be noted that the factors affecting the state of the pole tower mainly include the structural strength of its own components, changes in the external environment, the acting force of the line, and the supporting platform under the pole tower. Among them, the acting force of the line and the changes in the external environment are the main external factors affecting the state of the pole tower.
[0043] To achieve precise monitoring of the pole tower, first, a model that is proportionally restored to the pole tower needs to be created. More importantly, corresponding material parameters need to be set in the model. Through the above settings, the physical properties of real components can be fully simulated, so that the model and the actual pole tower are in the corresponding stress state. The ultimate goal is that when affected by the corresponding external environment, the real pole tower and the model will produce corresponding stress changes.
[0044] After creating the model, corresponding sensors need to be installed at the corresponding positions in the model for targeted monitoring.
[0045] In some embodiments of the multi-sensor pole tower state analysis and monitoring method provided in this application, the accident problems that may occur analyzed according to the changes in the state of the model under external force data include: Compare the data fed back by the sensor with the changes in the state and parameters at the corresponding positions in the model; if the difference between the two exceeds the preset standard value, it is determined that the data is abnormal and active verification is carried out.
[0046] It should be noted that with the development of drones, the inspection of pole towers can currently be partially replaced by drones. At the same time, the resolution of cameras and the clarity of the photos that can be obtained have also made great progress. The most obvious effect is that there is still relatively high clarity after magnifying the taken pictures several times. The progress of these technologies ultimately realizes the unmanned inspection of pole towers at a distance.
[0047] Moreover, the detection progress of sensors has also been greatly improved. Some sensors can remotely monitor the positions of multiple pole towers through electronic pulses and other means. It is precisely because of the above technical advantages that the state determination of pole towers can be more accurate.
[0048] Based on the above technical advantages, this application first creates a proportional model, and then by setting stress and strain sensors on the transmission line, on the cross arm of the pole tower, and at the contact with the line, and finally through the remote state detection of the line, the acting force of the line on the pole tower and the acting direction can be determined.
[0049] In some embodiments of the multi-sensor pole tower state analysis and monitoring method provided in this application, if the difference between the two exceeds the preset standard value, the active verification for determining the data as abnormal includes: Analyze the reasons for abnormal corresponding sensor data, compare the degree of numerical change of other sensors belonging to the same fault type, and determine whether it conforms to the fault characteristics; if not, conduct a separate inspection.
[0050] During the construction of the pole tower, a construction support platform is first required. Because only after the support platform is stable can it effectively support the entire pole tower and the lines supported by the pole tower. However, during daily use, due to continuous downward acting forces and changes in soil support forces, etc., the support platform itself will also experience corresponding settlement and inclination. This requires real-time detection of the state of the platform, and at the same time, real-time detection of the state and support capacity of the soil below it.
[0051] In the actual application process, after creating the model of the pole tower, it is necessary to install sensors remotely or on the support platform of the pole tower. The sensors are used to determine the changes in the soil and the state of the support platform, especially in extreme weather conditions, and at the same time, feedback the detected content to the upper computer for monitoring the state of the pole tower.
[0052] In some embodiments of the multi-sensor pole tower state analysis and monitoring method provided in this application, the external force data received by the pole tower is determined in real time in combination with the weather conditions of the day, and restoring the effects such as the external force data to the model includes: Determine the external environmental parameters where the current pole tower is located through the weather detection component installed on the pole tower.
[0053] Simulate the determined environmental parameters in the model so that the model is subjected to the same force.
[0054] In the actual application process, it is necessary to feedback the state of the line and the parameters detected by the support platform to the upper computer in real time. After clarifying the external forces on the pole tower, then detect its state through corresponding stress sensors and position sensors on the pole tower, etc. After all the above situations are determined, it is necessary to determine the external environment according to the local meteorological department or the wind detector installed on the top of the pole tower, etc.
[0055] After all the above preparatory work is completed, first analyze the current external environmental parameters, and at the same time monitor the line and the support platform through the feedback of data such as videos and relevant sensors. After all the above situations are determined, predict the possible faults of the current pole tower. The above predictions include the impact of external situations on the pole tower and the impact of the pole tower's own components. Through advance fault drills, serious accidents, etc. can be prevented.
[0056] In some embodiments of the multi-sensor tower state analysis and monitoring method provided in this application, the external force data received by the tower is determined in real time in combination with the weather conditions of the day. Restoring the effects such as the external force data to the model includes: Determine the shape of the line supported on the tower in real time, and determine the magnitude and direction of the force exerted by the line on the tower in combination with the physical parameters of the line and feedback them to the model.
[0057] It should be emphasized that in the prior art, the state of the tower is mostly determined through displacement sensors and the like, but there is a certain lag. Moreover, the stress sensors set cannot detect the state macroscopically, that is, they cannot predict possible failures in advance because they cannot systematically evaluate the state of the tower through the information obtained.
[0058] Therefore, in this application, first, the external force state of the tower is clarified, and then the state of the components and the magnitude of stress and the like in the ideal situation are determined under the current state. After the above determination, first, the difference from the ideal state is determined to initially judge the situation, and then the change trend of the stress of each sensor needs to be inferred to obtain the change trend of the tower.
[0059] In some embodiments of the multi-sensor tower state analysis and monitoring method provided in this application, real-time analysis and recording of the states of multiple monitoring points associated with accident problems include: Simulate the change characteristics of the values fed back by the corresponding multiple sensors in different faults.
[0060] Combined with the current weather and the swinging situation of the line, analyze possible faults, and then compare the corresponding multiple sensors with the corresponding fault cases to judge the current state of the tower.
[0061] For a more detailed description, first, after the external force condition of the tower is clarified, the states of the line and the support platform are simulated in real time in the upper computer. Since the model of the tower has been created before, it is necessary to determine the stress state of each component in the model in the upper computer, and then compare it with the data actually collected by the tower. At this time, the force condition in the model is the ideal situation. First, compare the parameters of the current model with the actual detection. If the difference between the two is small, it is determined that the tower is in a normal state. If the difference between the two is large, it is determined that there are certain problems.
[0062] Then, within a continuous time period, analyze the changes in the values collected by each sensor, and finally infer the state of the tower and possible faults based on the changes in the above values in combination with the changes in the external environment.
[0063] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.
Claims
1. A multi-sensor tower state analysis and monitoring method, characterized in that: include: Create a model of the pole tower in proportion and make the model have the same physical characteristics as the pole tower; simulate various possible faults of the pole tower, and determine multiple monitoring points that can characterize the corresponding faults by simulating different faults with the model; clarify the type of sensor required for the status detection of the monitoring point, and install the sensor and provide real-time feedback of data; The position and state of each component of the tower are monitored in real time, and an early warning is issued if the position and shape of the component change; otherwise, the external force data of the tower is determined in real time in combination with the weather conditions of the day, and the effects of the external force data are restored to the model; Possible accident problems are analyzed according to the change of the state of the model under the external force data, the states of multiple monitoring points associated with the accident problems are analyzed and recorded in real time, and the stability and safety of the tower are determined in advance.
2. The multi-sensor tower state analysis and monitoring method according to claim 1, characterized in that: The method of creating a model of a pole tower in proportion and making the model have the same physical properties as the pole tower comprises: Simulating the variation trend of the bearing capacity of the tower support foundation in the model; The force of the line on the tower on the tower under different external environments is simulated, and the force is applied to the model.
3. The multi-sensor tower state analysis and monitoring method according to claim 1, characterized in that: The method of performing different fault simulations by the model to determine a plurality of monitoring points capable of characterizing corresponding faults includes: Combining historical data with the structure of the model, determining the location where stress concentration and pressure change first occur when a failure occurs; Analyze and clarify the correlation between the state changes of multiple monitoring points corresponding to the same type of fault.
4. The multi-sensor tower state analysis and monitoring method according to claim 1, characterized in that: The sensor types required for clearly detecting the status of the monitoring point include: According to different fault types, specify the sensor type required to obtain the monitoring point data; The data of the multiple sensors belonging to the same fault type are bound.
5. The multi-sensor tower state analysis and monitoring method according to claim 1, characterized in that: The real-time monitoring of the position and status of each component of the tower includes: The position and shape of each component in the tower are monitored in real time by using drones and position detectors.
6. The multi-sensor tower state analysis and monitoring method according to claim 1, characterized in that: The possible accident problems analyzed according to the change of the state of the model under the external force data include: The data fed back by the sensor is compared with the corresponding position state and parameter changes in the model; if the difference between the two exceeds the preset standard value, the data is judged to be abnormal and active verification is performed.
7. The multi-sensor tower state analysis and monitoring method according to claim 6, characterized in that: If the difference between the two exceeds the preset standard value, the data is judged to be abnormal, and active verification includes: Analyze the cause of the abnormal sensor data and compare the degree of change of the values of other sensors belonging to the same fault type to determine whether they meet the fault characteristics; if not, perform a separate inspection.
8. The multi-sensor tower state analysis and monitoring method according to claim 1, characterized in that: The step of determining the external force data on the tower in real time in combination with the weather conditions of the day, and restoring the external force data and other effects to the model includes: Determine the external environmental parameters of the tower through the weather detection component installed on the tower; The determined environmental parameters are simulated in the model so that the model is subjected to the same forces.
9. The multi-sensor tower state analysis and monitoring method according to claim 8, characterized in that: The step of determining the external force data on the tower in real time in combination with the weather conditions of the day, and restoring the external force data and other effects to the model includes: The shape of the line supported by the pole tower is determined in real time, and the magnitude and direction of the force of the line on the pole tower are determined in combination with the physical parameters of the line and fed back to the model.
10. The multi-sensor tower state analysis and monitoring method according to claim 9, characterized in that: The real-time analysis and recording of the status of multiple monitoring points associated with the accident problem includes: Simulating the change characteristics of the values fed back by the corresponding multiple sensors when different faults occur; In combination with the current weather and the swing of the line, possible faults are analyzed, and then the corresponding multiple sensors are compared with corresponding fault cases to determine the current state of the tower.