Power grid construction potential safety hazard automatic identification method and system

Abstract

The invention discloses a power grid construction potential safety hazard automatic identification method and system, and relates to the technical field of potential safety hazard automatic identification, and the method comprises the following steps: obtaining lead swing data during the operation of a power transmission line in a wind power fluctuation scene, and dividing a lead in the power transmission line into a plurality of lead segments based on tower connection points; inputting the wire swing data into a preset segmented wire evaluation model, and calculating to obtain a swing evaluation coefficient between adjacent wire segments; correcting the initial lead swing range based on the swing evaluation coefficient between the adjacent lead sections, and drawing a swing envelope curve of each lead; and calculating the overlapping degree of the swinging envelope curves of the adjacent wires based on the swinging envelope curve of each wire, and judging whether the distance between the wires is the safe distance based on the preset maximum overlapping degree, thereby solving the accurate evaluation of the swinging range of the wires and the minimum safe distance between the adjacent wires.

Description

Technical Field

[0001] The present invention relates to the technical field of automatic identification of potential safety hazards, and more specifically, to a method and system for automatic identification of potential safety hazards in power grid construction. Background Art

[0002] At present, power grid construction faces the challenges of complexity and scale, and safety issues are particularly prominent. High-altitude operations and large-scale equipment operation increase the risk of electric shock, high-altitude falls, and mechanical accidents. Especially when crossing complex terrain or sensitive areas, the difficulty of safety management is further increased. In addition, factors such as wire swinging and falling may pose a threat to adjacent lines and construction equipment, increasing the risk of short circuits and equipment damage. Environmental factors such as strong winds, high humidity, and thunderstorms further exacerbate construction safety hazards.

[0003] For example, the invention patent with announcement number: CN118035910A announces a grid resource clustering early warning method, system, equipment and storage medium for new power systems, including multi-source and multi-modal grid resource data aggregation; digital conversion to form vector representation; cluster analysis; outlier detection based on the change distance of cluster centers; construction of multi-dimensional fault space; multi-dimensional cluster space early warning and judgment; dimension missing fault information processing; submission to users for comprehensive judgment. The present invention gives full play to the value of new power system data, identifies, warns and promptly handles grid resource hidden dangers before a fault occurs, and establishes a prevention-oriented active early warning mode for grid resources; based on the grid digital space and multi-dimensional fault space, a grid resource clustering analysis early warning method is proposed, which improves the timeliness and accuracy of grid resource early warning and judgment; effectively assists power companies at all levels in making grid repair decisions, improves users' electricity experience, and has important practical significance for improving the reliability of grid power supply.

[0004] The above disclosed technical solutions have at least the following technical problems: Current power grid construction faces a variety of potential safety hazards, including the risk of adjacent line short circuits caused by conductor swings in complex environments, equipment damage and personal injury caused by conductor falls during high-altitude operations, and the uncertainty of environmental factors such as wind speed and humidity on the construction process. In addition, the insufficient distance between the operation of mechanical equipment and the transmission lines in the construction area may also cause electric shock or line damage. Existing safety assessment methods are insufficient in terms of dynamics and real-time performance, and cannot fully cover the changing construction environment, especially the lack of accurate assessment of the conductor swing range and the minimum safe distance between adjacent lines. In view of the above problems, the present invention proposes a solution. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a method and system for automatically identifying safety hazards in power grid construction, through which the method and system for automatically identifying safety hazards in power grid construction are used to accurately evaluate the swing range of the conductors and the minimum safe distance between adjacent lines.

[0006] To achieve the above object, the present invention provides the following technical solutions: The invention discloses an automatic identification method and system for safety hazards in power grid construction, comprising the following steps: obtaining conductor swing data of a transmission line when it is running in a wind fluctuation scenario and the location of a tower connection point at a power grid construction site, and dividing the conductors in the transmission line into a plurality of conductor segments based on the tower connection points; inputting the conductor swing data and environmental data into a preset segmented conductor evaluation model, and calculating the swing evaluation coefficients between adjacent conductor segments; correcting an initial conductor swing range based on the swing evaluation coefficients between adjacent conductor segments, and drawing a swing envelope curve for each conductor; calculating the overlap of the swing envelope curves of adjacent conductors based on the swing envelope curves of each conductor, and judging whether the distance between the conductors is a safe distance based on a preset maximum overlap.

[0007] In a preferred embodiment, the conductors in the transmission line are divided into a plurality of conductor segments based on the tower connection points, specifically: a transmission line topology structure is obtained, the transmission line topology structure including tower position numbers in the transmission line and geometric coordinates of each tower; based on the tower position numbers in the transmission line and the geometric coordinates of each tower, the starting point and the end point of each conductor segment are set as the suspension points of adjacent towers.

[0008] In a preferred embodiment, the initial conductor swing range is corrected based on the swing evaluation coefficient between the adjacent conductor segments, specifically: constructing a linear vibration equation of the transmission line in a wind fluctuation scenario; passing the conductor segment through the linear vibration equation of the transmission line in the wind fluctuation scenario to obtain the swing amplitude value of the conductor segment; sorting the swing amplitude values ​​of the conductor segments to obtain the maximum swing amplitude; using the maximum swing amplitude as the initial conductor swing range; correcting the initial conductor swing range using the swing evaluation coefficient between the adjacent conductor segments to obtain a corrected conductor swing range.

[0009] In a preferred embodiment, the drawing of the swing envelope curve of each conductor is specifically as follows: The discrete data of each conductor is obtained and preprocessed, wherein the discrete data includes the conductor swing position, time series and environmental data at each time point; the corrected conductor swing range of all conductor segments of each conductor is projected onto a unified time axis; all conductor segments of each conductor are spliced ​​to obtain continuous corrected upper and lower boundaries of the swing; based on the continuous corrected upper and lower boundaries of the swing, a spline interpolation method is used to generate continuous upper and lower boundary curves of the swing, so as to obtain the swing envelope curve of each conductor.

[0010] In a preferred embodiment, the overlap of the swing envelope lines of adjacent conductors is calculated based on the swing envelope curve of each conductor, specifically: at each time t, the overlap value of the swing envelope lines of adjacent conductors in the vertical direction is calculated; based on the overlap value in the vertical direction, the total overlap value in the time interval is calculated using the trapezoidal integration method; the total overlap value is normalized based on the corrected conductor swing range and time interval to obtain the overlap of the swing envelope lines of adjacent conductors.

[0011] In a preferred embodiment, the method of judging whether the distance between the conductors is a safe distance based on a preset maximum overlap is specifically as follows: based on historical field tests, the swinging behavior of the transmission line conductors in different environments is simulated to obtain the maximum overlap of adjacent swing envelopes and use it as the preset maximum overlap; when the overlap of the swing envelopes of adjacent conductors is less than or equal to the preset maximum overlap, it indicates that the current conductor previously met the safety distance; when the overlap of the swing envelopes of adjacent conductors is greater than the preset maximum overlap, it indicates that the current conductor previously did not meet the safety distance and the conductors are rearranged and adjusted.

[0012] The technical effects and advantages of the method and system for automatically identifying safety hazards in power grid construction of the present invention are as follows: 1. The present invention divides the transmission line into several conductor segments by acquiring the conductor swing data of the transmission line during operation under the wind fluctuation scenario and the location of the tower connection point at the power grid construction site, which can more finely describe the local dynamic behavior of the conductor and improve the perception accuracy of the conductor swing characteristics at different positions. The collected conductor swing data and environmental data are input into the preset segmented conductor evaluation model, and the swing evaluation coefficient between adjacent conductor segments can be calculated, thereby quantifying the dynamic relationship and mutual influence between the conductors. The advantages of this process are: first, it decomposes the complex conductor swing problem into multiple small-scale problems, significantly reducing the calculation complexity; second, by introducing the segmented evaluation model, the conductor segments at different positions can be analyzed separately according to environmental factors such as wind speed and airflow changes, thereby improving the flexibility and applicability of the model; finally, the swing evaluation coefficient provides a simple and effective measurement standard, which can be used for subsequent envelope drawing, safety distance evaluation and other operations, so that the system can quickly respond to potential safety hazards in complex environments and optimize construction strategies.

[0013] 2. The present invention can effectively improve the modeling accuracy of the dynamic behavior of the conductor by correcting the initial conductor swing range based on the swing assessment coefficient between adjacent conductor segments and drawing the swing envelope curve of each conductor. The corrected swing range can more truly reflect the impact of environmental factors on the conductor swing and eliminate potential calculation deviations. On this basis, the overlap of the swing envelopes of adjacent conductors is calculated based on the envelope curve, which provides a quantitative basis for judging the safe distance between conductors. Compared with the traditional fixed distance assessment method, this process is more flexible and can adapt to complex wind fluctuation scenarios and changes in different conductor characteristics. Using the preset maximum overlap as the judgment criterion makes the safety assessment more intuitive and accurate, and can quickly identify the conductor segments that exceed the safety range, so as to facilitate the adoption of targeted measures. In addition, this method combines swing assessment and overlap analysis to avoid misjudgment caused by ignoring local details, thereby improving the overall safety management level, and also provides strong support for construction planning and operation optimization, ensuring the stable operation of the transmission system. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a flow chart of the method for automatically identifying safety hazards in power grid construction according to the present invention.

[0015] Figure 2 It is a structural schematic diagram of the automatic identification system for safety hazards in power grid construction of the present invention. DETAILED DESCRIPTION

[0016] 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.

[0017] Embodiment 1, Figure 1 The present invention provides a method for automatically identifying safety hazards in power grid construction, comprising the following steps: S1, obtaining conductor swing data of a transmission line when it is running in a wind fluctuation scenario and the location of a tower connection point at a power grid construction site, and dividing the conductors in the transmission line into a plurality of conductor segments based on the tower connection points; In this example, the conductor swing data of the transmission line in operation under wind fluctuations is obtained, specifically: The conductor swing data includes conductor displacement data, conductor speed data, and wind force data.

[0018] It should be noted that in the wind fluctuation scenario, comprehensive acquisition of conductor swing data during transmission line operation, including displacement, velocity, acceleration, tension, vibration frequency, and environmental parameters such as wind speed and direction, can accurately describe the dynamic characteristics of the conductor. The advantages of this method are: first, through multi-dimensional data collection, it can truly reflect the impact of wind on conductor swing, including complex behaviors in the lateral, longitudinal and vertical directions; second, combining wind field fluctuation information with the mechanical properties of the conductor, it can accurately capture abnormal swings in special conditions such as turbulence and aerodynamic locking; in addition, real-time monitoring of factors such as changes in conductor spacing and electromagnetic forces can quickly assess safety hazards. On the whole, this data acquisition method provides comprehensive and reliable input for subsequent swing envelope drawing and safety distance assessment, improving the safety of transmission line operation and the scientific nature of operation optimization.

[0019] In this example, the conductors in the transmission line are divided into several conductor segments based on the tower connection points, specifically: Acquire a transmission line topology structure, wherein the transmission line topology structure includes tower position numbers in the transmission line and geometric coordinates of each tower; Based on the tower position numbers in the transmission line and the geometric coordinates of each tower, the starting point and the end point of each conductor segment are set to be the suspension points of adjacent towers.

[0020] S2, inputting the wire swing data into a preset segmented wire evaluation model to calculate the swing evaluation coefficients between adjacent wire segments; In this example, the preset segmented wire evaluation model is as follows: The preset segmented conductor assessment model can accurately analyze the swing characteristics of each conductor segment in the transmission line and the dynamic coupling relationship between adjacent segments by combining catenary theory, dynamic equations and wind disturbance modeling. The advantages of the model are: first, the complex overall problem is refined through the segmented modeling method, the dynamic behavior of local conductors is captured, and the calculation accuracy is improved; second, the model integrates a variety of environmental factors (such as wind speed, turbulence, and aerodynamic locking effects), and can adapt to different wind fields and operating conditions, with strong flexibility; in addition, the quantitative analysis of dynamic coupling effects enables it to accurately evaluate the mutual influence between conductor segments, providing a scientific basis for the subsequent drawing of swing envelopes and safe distance judgments. By reducing redundant calculations, the model also takes into account high efficiency and applicability, and can achieve accurate evaluation of the dynamic behavior of conductors in complex environments, helping to optimize the safety of the transmission system.

[0021] In this example, the wire swing data is input into a preset segmented wire evaluation model to calculate the swing evaluation coefficient between adjacent wire segments. The specific formula is:

[0022] in, is the swing evaluation coefficient between adjacent conductor segments, is the horizontal deviation of wire i and wire j at time t, is the vertical deviation of wire i and wire j at time t, for the entire swing cycle.

[0023] It should be noted that the method of inputting the conductor swing data and environmental data into the preset segmented conductor assessment model and calculating the swing assessment coefficient between adjacent conductor segments has significant advantages under complex environmental conditions. First, by segmenting the transmission line, the local dynamic behavior of each conductor segment can be accurately described, thereby capturing the swing details caused by factors such as wind speed changes and turbulence. Secondly, the model integrates a variety of environmental data such as wind speed, wind direction, turbulence intensity, and temperature to dynamically reflect the true state of the conductor under complex climatic conditions and improve the accuracy of the assessment. In addition, the swing assessment coefficient can quantify the dynamic coupling relationship between conductor segments. This quantification provides an intuitive and reliable basis for subsequent analysis, especially in identifying high-risk areas and optimizing conductor spacing. Through scientific modeling and inputting multi-dimensional data, the model can not only reflect the current conductor status, but also has the ability to predict potential hidden dangers, providing forward-looking support for the safety assessment of the transmission system. Overall, this method combines accuracy, flexibility, and efficiency, laying a solid foundation for ensuring the safe operation of transmission lines.

[0024] S3, correcting the initial wire swing range based on the swing evaluation coefficient between the adjacent wire segments, and drawing a swing envelope curve of each wire; In this example, the initial wire swing range is corrected based on the swing evaluation coefficient between the adjacent wire segments, specifically: Construct linear vibration equations of transmission lines under wind fluctuation scenarios; Passing the conductor segment through the linear vibration equation of the transmission line in the wind fluctuation scenario to obtain the swing amplitude value of the conductor segment; Setting a starting point and an ending point of a time series and setting a sliding window at the starting point of the time series, wherein the sliding window covers the swing amplitude values ​​of the wire segments before and after the starting point of the time series; In each sliding window, the root mean square of the swing amplitude value of the wire segment is calculated to obtain the swing amplitude value of the historical wire segment in each sliding window; Sorting the swing amplitude values ​​of the historical wire segments of each sliding window to obtain the maximum swing amplitude and the minimum swing amplitude of each sliding window, and setting the initial wire swing range based on the maximum swing amplitude and the minimum swing amplitude; Calculate the variance of the swing evaluation coefficients between all adjacent wire segments of each wire; The ratio of the variance to the preset maximum variance value of the swing evaluation coefficient is used as a correction factor for the initial wire swing range; The initial wire swing range is corrected based on the correction factor to obtain a corrected wire swing range.

[0025] In this example, the conductor segment is passed through the linear vibration equation of the transmission line in the wind fluctuation scenario to obtain the swing amplitude value of the conductor segment. The specific formula is:

[0026] in, is the external force of wind on the conductor, is the mass of the conductor segment, is the damping coefficient of the wire, s is the elastic coefficient of the wire, is the displacement of the wire segment at time t, is the swing amplitude of the wire segment at time t, is the frequency, is the vibration period of the wire.

[0027] It should be noted that the displacement of a wire segment at time t refers to the change in the spatial position of the wire segment relative to its initial position at time t. It is usually determined by the motion state of the wire segment and reflects the position offset of the wire segment at that moment, including direction and magnitude. Displacement can be linear (in a straight line) or curvilinear (on a curved path) and is usually caused by external forces, vibrations, swings, or deformations. Mathematically, displacement is usually expressed as the difference between the current position of the wire segment at time t and its initial position.

[0028] By solving the swing amplitude value of the conductor segment using the linear vibration equation of the transmission line in the scenario of wind fluctuation, this method has significant advantages in evaluating the dynamic behavior and potential risks of the conductor. First, the linear vibration equation can accurately describe the dynamic response of the conductor segment after being subjected to force in a complex environment, including the vibration characteristics under multiple effects such as wind, gravity, and electromagnetic force, and provide accurate swing amplitude values. Secondly, this method can consider the dynamic changes of environmental factors such as wind speed, wind direction, and turbulence, so that the calculation results of the swing amplitude are closer to the actual working conditions. Through segmented modeling, the vibration behavior of each conductor segment is analyzed independently, thereby capturing the swing differences and local characteristics of different parts of the conductor. In addition, the calculated swing amplitude value provides basic data for the subsequent drawing of the swing envelope, further quantifying the overall dynamic behavior of the conductor. Using this method, the conductor segment whose swing amplitude exceeds the safety limit can be quickly identified, which helps to discover safety hazards in advance and take preventive measures. Overall, this method based on the linear vibration equation has high accuracy, environmental adaptability, and flexibility, providing reliable technical support for the safe operation and optimized design of transmission lines.

[0029] In this example, the initial wire swing range is corrected based on the correction factor to obtain a corrected wire swing range, and the specific formula is:

[0030] in, is the corrected wire swing range, is the initial wire swing range, is the swing evaluation coefficient between conductor segments i and j, is the total number of wire segments, is the variance of the swing evaluation coefficient, is the preset maximum swing evaluation coefficient variance.

[0031] It should be noted that the method of correcting the initial conductor swing range based on the swing evaluation coefficient between adjacent conductor segments to obtain the corrected conductor swing range has significant advantages in conductor safety assessment. First, this method accurately quantifies the dynamic coupling effect between adjacent conductor segments through the swing evaluation coefficient, which can fully reflect the mutual influence between the conductor segments, so that the corrected swing range is closer to the actual operation situation. Secondly, the correction formula not only considers the initial swing range of a single conductor segment, but also integrates the dynamic contribution of adjacent conductor segments, ensuring the scientificity and systematicity of the overall assessment. The introduction of dynamic environmental data and weight coefficients enables the model to flexibly adapt to complex working conditions such as different wind fields and turbulence intensities, improving the wide applicability of the method. In addition, the correction method adopts an iterative strategy, which can gradually approach the stable state and ensure the accuracy and consistency of the results. The corrected swing range provides more accurate basic data for the drawing of the swing envelope, and lays a reliable basis for further judging the safe distance between conductors. Overall, this correction method based on the swing evaluation coefficient has both accuracy, flexibility and systematicity, which helps to improve the accuracy and effectiveness of dynamic safety assessment of transmission lines.

[0032] In this example, the swing envelope curve of each wire is drawn as follows: Projecting the corrected wire swing ranges of all wire segments of each wire onto a unified time axis; All the wire segments of each wire are spliced ​​together to obtain continuous corrected upper and lower swing boundaries; Based on the continuous modified upper and lower boundaries of the swing, a spline interpolation method is used to generate continuous upper and lower boundary curves of the swing, and the swing envelope curve of each conductor is obtained.

[0033] In this example, the corrected wire swing ranges of all wire segments of each wire are projected onto a unified time axis, specifically: The method of projecting the corrected swing range of all conductor segments of each conductor onto a unified time axis significantly improves the integrity and temporal consistency of the dynamic assessment of the transmission line. By unifying the time axis, the swing characteristics of different conductor segments can be analyzed synchronously, effectively capturing the swing behavior and dynamic associations within the entire line. This method ensures that the swing range of each conductor segment is presented on the same time basis, which facilitates the accurate assessment of the maximum swing amplitude and interaction of the entire line. The projected data can intuitively display the overall dynamic envelope of the conductor, which helps to quickly identify potential risk points. In addition, by unifying the time axis, the comparison and fusion of swing data are more efficient, providing a more scientific basis for the subsequent drawing of the swing envelope curve and the safety distance assessment of adjacent conductors. Overall, this method can improve the integrity and operability of the assessment, and provide efficient and accurate technical support for the dynamic safety analysis of transmission lines.

[0034] In this example, based on the continuous modified upper and lower boundaries of the swing, a spline interpolation method is used to generate continuous upper and lower boundary curves of the swing, and the swing envelope curve of each wire is obtained, which is specifically: Based on the continuous modified upper and lower boundaries of the swing, the spline interpolation method is used to generate continuous upper and lower boundary curves of the swing, so as to obtain the swing envelope curve of each conductor. This method has significant advantages in accuracy and flexibility. Spline interpolation ensures the smoothness and continuity of the upper and lower boundary curves at the junction by constructing low-order polynomials in segments, avoiding the oscillation problem that may occur in traditional high-order polynomial fitting. Cubic spline interpolation is particularly suitable for complex dynamic data, and can accurately capture the local changes of the upper and lower boundaries of the swing while maintaining the smooth characteristics of the overall curve. In addition, the interpolation method flexibly adapts to discrete data input, without strict restrictions on the spacing of each point, and is suitable for the data form of the conductor swing range, which is usually discretely sampled. The generated continuous swing envelope curve can not only clearly reflect the dynamic behavior of each conductor, but also provide a reliable basis for the safety distance assessment between adjacent conductors. With this method, users can intuitively analyze the trend and risk area of ​​conductor swing, so as to optimize the design and construction plan of transmission lines more efficiently. Overall, this method has both accuracy, stability and practical applicability, and is a key technology in the dynamic safety assessment of transmission lines.

[0035] S4, calculating the overlap of the swing envelopes of adjacent conductors based on the swing envelope curve of each conductor, and judging whether the distance between the conductors is a safe distance based on a preset maximum overlap.

[0036] In this example, the overlap of the swing envelopes of adjacent conductors is calculated based on the swing envelope curve of each conductor, specifically: At each time t, calculating the overlap value of the swing envelopes of the adjacent conductors in the vertical direction; Based on the overlap value in the vertical direction, a total overlap value in the time interval is calculated using a trapezoidal integration method; The total overlap value is normalized based on the corrected conductor swing range and time interval to obtain the overlap of the swing envelopes of adjacent conductors.

[0037] In this example, based on the overlap value in the vertical direction, the total overlap value in the time interval is calculated using the trapezoidal integration method, and the specific formula is:

[0038] Where D is the total overlap of the swing envelopes of adjacent conductors, is the vertical overlap of the wires at the kth moment, is the vertical overlap of the wires at the (k+1)th moment, is the overlap of the swing envelopes of adjacent conductors, is the length of the time interval, It is the maximum swing amplitude of adjacent conductors in the vertical direction.

[0039] It should be noted that the method of calculating the overlap of the swing envelopes of adjacent conductors based on the swing envelope curve of each conductor is of significant scientificity and practicality. By calculating the overlap value of the swing envelopes of adjacent conductors in the vertical direction at each time t, the dynamic characteristics of the instantaneous spatial proximity between conductors can be accurately captured, providing a basis for evaluating the safety between conductors. Furthermore, the trapezoidal integration method is used to calculate the overlap value within a period of time to obtain the total overlap value within the time interval. This method can smooth the data of discrete time points and ensure the accuracy and stability of the calculation results. By normalizing the total overlap value, the dynamic spatial overlap phenomenon is quantified into a unified scaled indicator, making the dynamic safety between different conductors comparable and quantifiable. This method can comprehensively consider the dynamic interaction behavior and time influence between conductors, and provides a scientific basis for judging whether the minimum safety distance between conductors meets the requirements.

[0040] In this example, whether the distance between the wires is a safe distance is determined based on the preset maximum overlap, specifically: Based on historical field tests, the swaying behavior of transmission line conductors in different environments is simulated to obtain the maximum overlap of adjacent swaying envelopes and use it as the preset maximum overlap; When the overlap of the swing envelopes of adjacent conductors is less than or equal to the preset maximum overlap, it means that the current conductor meets the safety distance; When the overlap of the swing envelopes of adjacent conductors is greater than the preset maximum overlap, it means that the current conductor does not meet the safety distance, and the conductor is re-arranged and adjusted.

[0041] It should be noted that the method of judging whether the distance between conductors is a safe distance based on the preset maximum overlap has significant advantages in the safety assessment and optimization design of transmission lines. Through historical field tests and simulation experiments, the influence of various environmental conditions (such as wind speed, temperature, humidity, etc.) on the swing behavior of conductors is fully considered, and a scientific and reasonable maximum overlap is obtained as a preset value, which ensures the reliability and applicability of the evaluation standard. When the overlap of the swing envelopes of adjacent conductors is less than or equal to the preset value, it can quickly determine whether the conductors meet the safe distance, reducing unnecessary optimization and adjustment costs; when the overlap exceeds the preset value, potential risks are identified in time, providing a clear direction for the optimization of conductor layout. This method combines quantitative indicators with actual environmental data to provide a highly operational and intuitive basis for judging safe distances. More importantly, this method has dynamic adaptability and can update the preset maximum overlap with new test data and environmental conditions to improve the accuracy and effectiveness of the assessment. Overall, this method can not only improve the efficiency of safety assessment, but also provide a strong technical guarantee for the safety and stability of transmission lines.

[0042] Embodiment 2, Figure 2 A system for automatically identifying safety hazards in power grid construction is provided, which is characterized by comprising a data acquisition module, a swing assessment module, a swing correction module, and a safety distance identification module: A data acquisition module, used to acquire the conductor swing data of the transmission line when it is running in a wind fluctuation scenario and the location of the tower connection point at the power grid construction site, and divide the conductor in the transmission line into a plurality of conductor segments based on the tower connection point; A swing assessment module, used for inputting the wire swing data into a preset segmented wire assessment model to calculate the swing assessment coefficients between adjacent wire segments; A swing correction module, used for correcting the initial wire swing range based on the swing evaluation coefficient between the adjacent wire segments, and drawing a swing envelope curve of each wire; The safety distance identification module is used to calculate the overlap of the swing envelope curves of adjacent wires based on the swing envelope curve of each wire, and to determine whether the distance between the wires is a safety distance based on a preset maximum overlap.

[0043] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0044] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0045] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0046] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0047] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0048] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for automatically identifying safety hazards in power grid construction, characterized in that: The following steps are involved: Obtaining conductor swing data of a transmission line when it is running in a wind fluctuation scenario and the location of a tower connection point at a power grid construction site, and dividing the conductors in the transmission line into a plurality of conductor segments based on the tower connection points; Inputting the wire swing data into a preset segmented wire assessment model to calculate the swing assessment coefficients between adjacent wire segments; Correcting the initial wire swing range based on the swing evaluation coefficient between the adjacent wire segments, and drawing a swing envelope curve of each wire; The overlapping degree of the oscillation envelope curves of adjacent conductors is calculated based on the oscillation envelope curve of each conductor, and whether the distance between the conductors is a safe distance is determined based on a preset maximum overlapping degree.

2. The method for automatically identifying safety hazards in power grid construction according to claim 1 is characterized in that: Based on the tower connection points, the conductors in the transmission line are divided into several conductor segments, specifically: Acquire a transmission line topology structure, wherein the transmission line topology structure includes tower position numbers in the transmission line and geometric coordinates of each tower; Based on the tower position numbers in the transmission line and the geometric coordinates of each tower, the starting point and the end point of each conductor segment are set to be the suspension points of adjacent towers.

3. The method for automatically identifying safety hazards in power grid construction according to claim 2 is characterized in that: The swing evaluation coefficient between adjacent wire segments is used to correct the initial wire swing range, specifically: Construct linear vibration equations of transmission lines under wind fluctuation scenarios; Passing the conductor segment through the linear vibration equation of the transmission line in the wind fluctuation scenario to obtain the swing amplitude value of the conductor segment; Setting a starting point and an ending point of a time series and setting a sliding window at the starting point of the time series, wherein the sliding window covers the swing amplitude values ​​of the wire segments before and after the starting point of the time series; In each sliding window, the root mean square of the swing amplitude value of the wire segment is calculated to obtain the swing amplitude value of the historical wire segment in each sliding window; Sorting the swing amplitude values ​​of the historical wire segments of each sliding window to obtain the maximum swing amplitude and the minimum swing amplitude of each sliding window, and setting the initial wire swing range based on the maximum swing amplitude and the minimum swing amplitude; Calculate the variance of the swing evaluation coefficients between all adjacent wire segments of each wire; The ratio of the variance to the preset maximum variance value of the swing evaluation coefficient is used as a correction factor for the initial wire swing range; The initial wire swing range is corrected based on the correction factor to obtain a corrected wire swing range.

4. The method for automatically identifying safety hazards in power grid construction according to claim 3 is characterized in that: The drawing of the swing envelope curve of each wire is specifically as follows: Projecting the corrected wire swing ranges of all wire segments of each wire onto a unified time axis; All the wire segments of each wire are spliced ​​together to obtain continuous corrected upper and lower swing boundaries; Based on the continuous modified upper and lower boundaries of the swing, a spline interpolation method is used to generate continuous upper and lower boundary curves of the swing, and the swing envelope curve of each conductor is obtained.

5. The method for automatically identifying safety hazards in power grid construction according to claim 4 is characterized in that: The overlapping degree of the swing envelope curves of adjacent conductors is calculated based on the swing envelope curve of each conductor, specifically: At each time t, calculating the overlap value of the swing envelopes of the adjacent conductors in the vertical direction; Based on the overlap value in the vertical direction, a total overlap value in the time interval is calculated using a trapezoidal integration method; The total overlap value is normalized based on the corrected conductor swing range and time interval to obtain the overlap of the swing envelopes of adjacent conductors.

6. The method for automatically identifying safety hazards in power grid construction according to claim 5 is characterized in that: The method of judging whether the distance between the wires is a safe distance based on the preset maximum overlap is specifically as follows: Based on historical field tests, the conductor swing data of the transmission line conductor under different environments is simulated to obtain the maximum overlap of the swing envelopes of adjacent conductors and use it as the preset maximum overlap; When the overlap of the swing envelopes of adjacent conductors is less than or equal to the preset maximum overlap, it means that the current conductor meets the safety distance; When the overlap of the swing envelopes of adjacent conductors is greater than the preset maximum overlap, it means that the current conductor does not meet the safety distance, and the conductor is re-arranged and adjusted.

7. The method for automatically identifying safety hazards in power grid construction according to claim 6 is characterized in that: The wire swing data is input into a preset segmented wire evaluation model to calculate the swing evaluation coefficient between adjacent wire segments. The specific formula is: in, is the swing evaluation coefficient between adjacent conductor segments, is the horizontal deviation of wire segment i and wire segment j at time t, is the vertical deviation between wire segment i and wire segment j at time t, for the entire swing cycle.

8. The method for automatically identifying safety hazards in power grid construction according to claim 7 is characterized in that: The conductor segment is passed through the linear vibration equation of the transmission line in the wind fluctuation scenario to obtain the swing amplitude value of the conductor segment. The specific formula is: in, is the external force of wind on the conductor, is the mass of the conductor segment, is the damping coefficient of the wire, s is the elastic coefficient of the wire, is the displacement of the wire segment at time t, is the swing amplitude of the wire segment at time t, is the frequency, is the vibration period of the wire.

9. The method for automatically identifying safety hazards in power grid construction according to claim 8, characterized in that: Based on the overlap value in the vertical direction, the total overlap value in the time interval is calculated using the trapezoidal integration method. The specific formula is: Where D is the total overlap of the swing envelopes of adjacent conductors, is the vertical overlap of the wires at the kth moment, is the vertical overlap of the wires at the (k+1)th moment, is the overlap of the swing envelopes of adjacent conductors, is the length of the time interval, It is the maximum swing amplitude of adjacent conductors in the vertical direction.

10. A system using the method for automatically identifying safety hazards in power grid construction as claimed in any one of claims 1 to 9, characterized in that: Including data acquisition module, swing assessment module, swing correction module, safety distance identification module: A data acquisition module, used to acquire the conductor swing data of the transmission line when it is running in a wind fluctuation scenario and the location of the tower connection point at the power grid construction site, and divide the conductor in the transmission line into a plurality of conductor segments based on the tower connection point; A swing assessment module, used for inputting the wire swing data into a preset segmented wire assessment model to calculate the swing assessment coefficients between adjacent wire segments; A swing correction module, used for correcting the initial wire swing range based on the swing evaluation coefficient between the adjacent wire segments, and drawing a swing envelope curve of each wire; The safety distance identification module is used to calculate the overlap of the swing envelope curves of adjacent wires based on the swing envelope curve of each wire, and to determine whether the distance between the wires is a safety distance based on a preset maximum overlap.

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