Power transmission line section division method, device, equipment and medium

Abstract

The embodiment of the invention discloses a power transmission line section division method and device, equipment and a medium, and the method comprises the steps: obtaining the hidden danger data and position information of each tower in a power transmission line in a preset range, and enabling the hidden danger data to be the occurrence frequency of each hidden danger type in each tower in a preset time; determining comprehensive weight information of each hidden danger type according to the hidden danger data; determining a hidden danger score of each tower according to the comprehensive weight information and the hidden danger data; and according to the position information and the hidden danger score of each tower, dividing the power transmission line in the preset range into a plurality of sections. By considering the hidden danger data of each tower, potential safety risks can be identified more accurately, and high-risk sections are divided, so that targeted maintenance and repair measures are taken, and the possibility of accidents is reduced. Moreover, reasonable section division is beneficial to optimizing resource allocation, it is ensured that the key area is monitored and maintained more frequently, and the overall safety of the power transmission line is improved.

Description

Technical Field

[0001] This specification relates to the field of computer technology, and in particular to a method, apparatus, equipment and medium for dividing power transmission line sections. Background Technology

[0002] In the operation and maintenance of power transmission lines, segmentation is essential to ensure their safe and stable operation. However, most methods for segmenting transmission lines rely on manual experience and simple rules, failing to fully consider the actual conditions of the lines. With the continuous development of power systems and the widespread application of intelligent technologies, higher demands are placed on the accuracy and scientific rigor of transmission line segmentation.

[0003] Existing methods of dividing transmission lines into sections have several problems, primarily due to incomplete data. These methods only consider the location information of the towers. This incomplete data approach fails to fully reflect the actual condition of the transmission lines, resulting in unreasonable section divisions. Such unreasonable section divisions significantly impact transmission line maintenance. They may lead to unclear priorities in maintenance work, irrational resource allocation, and even the omission of critical maintenance areas, thereby increasing the risk of transmission line failures. Summary of the Invention

[0004] This specification provides one or more embodiments of a method, apparatus, equipment, and medium for dividing transmission line sections, in order to solve the technical problems raised in the background art.

[0005] One or more embodiments of this specification employ the following technical solutions:

[0006] This specification provides a method for dividing transmission line sections according to one or more embodiments, the method comprising:

[0007] Obtain the hidden danger data and location information of each tower in the transmission line within a preset range. The hidden danger data is the number of times each type of hidden danger occurs in each tower within a preset time.

[0008] Based on the aforementioned hazard data, determine the comprehensive weight information for each hazard type;

[0009] Based on the comprehensive weighting information and the hidden danger data, the hidden danger score for each tower is determined;

[0010] Based on the location information and hazard score of each tower, the transmission line within the preset range is divided into multiple sections.

[0011] It should be noted that the embodiments in this specification, through the above content, have the following beneficial effects:

[0012] Enhanced safety: By considering the potential hazards of each tower, it is possible to more accurately identify potential safety risks, delineate high-risk sections, and implement targeted maintenance and repair measures to reduce the likelihood of accidents. Furthermore, reasonable section division helps optimize resource allocation, ensuring more frequent monitoring and maintenance of critical areas, and improving the overall safety of transmission lines.

[0013] Improved maintenance efficiency: Dividing maintenance into sections based on hazard scores allows for more targeted maintenance work. Maintenance personnel can prioritize sections with high hazard scores, improving efficiency and reducing unnecessary inspections and repairs. Furthermore, clear section divisions facilitate the development of maintenance plans and the allocation of personnel, enhancing planning and coordination, and further improving maintenance efficiency.

[0014] Cost savings: Precise segmentation avoids over-maintenance of the entire transmission line, reducing maintenance costs. Maintaining only the sections requiring key attention saves manpower, material resources, and financial resources. Furthermore, timely detection and handling of potential hazards prevents the escalation of faults, reducing maintenance costs and power outage losses.

[0015] Enhanced reliability: Accurate segmentation helps to promptly identify and resolve potential problems, improving the reliability of transmission lines. This reduces the probability of faults and ensures the stability of power supply. Furthermore, focused monitoring and maintenance of high-risk sections allows for proactive preventative measures, reducing the impact of faults on the power system and enhancing overall system reliability.

[0016] Adaptability and Flexibility: This method can flexibly adjust the preset range and time according to actual conditions to adapt to different transmission lines and operating environments. It can reflect changes in line conditions in a timely manner, ensuring the accuracy and effectiveness of section division. Furthermore, as the power system develops and changes, this method can be easily updated and optimized, maintaining its adaptability to transmission line management.

[0017] Risk assessment and early warning: Determining hazard scores serves as the basis for risk assessment, helping power departments quantify and compare risks in different sections. This allows for proactive risk control measures to reduce risk levels. Furthermore, establishing an early warning mechanism based on section divisions enables timely detection of hazard trends and the issuance of warning signals, facilitating emergency measures to ensure the safe operation of transmission lines.

[0018] Furthermore, determining the comprehensive weight information for each type of hazard based on the hazard data includes:

[0019] Based on the number of occurrences of each type of hazard in each tower within the preset time period in the hazard data, the objective weight of each hazard type is determined.

[0020] Obtain the pre-set subjective weights for each type of hazard;

[0021] Based on the objective weights and subjective weights of each type of hazard, the comprehensive weight information for each type of hazard is determined.

[0022] It should be noted that the embodiments in this specification, through the above content, have the following beneficial effects:

[0023] Improved Accuracy: By comprehensively considering both objective weights (based on the frequency of hazard occurrences) and subjective weights (pre-set), the importance of each hazard type can be more fully reflected. Objective weights, based on actual data, provide an objective assessment; subjective weights consider expert experience and specific needs. Combining the two improves the accuracy of weight determination. Furthermore, this comprehensive weight determination method helps avoid the bias of a single factor and more accurately reflects the impact of each hazard type on transmission line safety.

[0024] Flexibility and adaptability: Subjective weights can be adjusted according to actual conditions to adapt to different transmission lines, operating environments, or specific management requirements. This flexibility makes weight determination more adaptable and better meets actual needs. Furthermore, subjective weights can be updated and adjusted based on new information or experience to maintain their rationality and effectiveness.

[0025] Furthermore, determining the objective weight of each hazard type based on the frequency of occurrence of each hazard type in each tower within the preset time period in the hazard data includes:

[0026] Based on the number of occurrences of each type of hazard in each tower within the preset time period in the hazard data, determine the number of towers and the proportion of each type of hazard;

[0027] Based on the number of towers and their proportion, determine the entropy value of each type of hidden danger;

[0028] The objective weight of each hazard type is determined based on its entropy value.

[0029] It should be noted that the embodiments in this specification, through the above content, have the following beneficial effects:

[0030] Accuracy and objectivity: By determining the proportion and entropy value of each type of hidden danger based on the number of occurrences within a preset time, and then determining the objective weight, this method is based on actual data, reduces the influence of subjective factors, and improves the accuracy and objectivity of weight determination.

[0031] Comprehensive consideration: The number of towers and the frequency of occurrence of each type of hazard are taken into account, providing a more comprehensive reflection of the importance of different hazard types. It not only focuses on the frequency of hazard occurrence but also considers their distribution throughout the entire transmission line.

[0032] Quantitative assessment: This quantifies the importance of different hazard types and expresses it as an objective weight, providing specific numerical basis for subsequent decision-making and analysis. It helps to more accurately compare and evaluate the relative importance of different hazard types.

[0033] Furthermore, based on the location information of each tower and the hazard score, the transmission line within the preset range is divided into multiple sections, including:

[0034] The location information and the hazard score are processed according to a preset standardization method to obtain the standardized location information and standardized hazard score of each tower.

[0035] Based on the standardized location information and the standardized hazard score, the transmission line within the preset range is divided into multiple sections.

[0036] It should be noted that the embodiments in this specification, through the above content, have the following beneficial effects:

[0037] Improving the accuracy of section division: By standardizing location information and hazard scores, the dimensional differences between different data can be eliminated, allowing them to be compared and analyzed on the same scale. This enables a more accurate reflection of the relative position and hazard level of each tower, thereby improving the accuracy of section division.

[0038] Enhancing the rationality of section division: Standardized location information and hazard scores can better reflect the relative relationships between towers. Section division based on this standardized data allows for a more reasonable division of transmission lines into different sections, ensuring that towers within each section have similar characteristics and risk levels.

[0039] Facilitates comparison and analysis: Standardized location information and hazard scores are comparable, making data analysis and comparison easier. This helps identify differences and patterns between different sections, providing support for further research and decision-making.

[0040] Furthermore, based on the location information of each tower and the hazard score, the transmission line within the preset range is divided into multiple sections, including:

[0041] Obtain multiple pre-defined initial segment centers;

[0042] Based on the location information of each initial section center and each tower, and the hazard score of each tower, the distance between each tower and each initial section center is determined;

[0043] Each tower in the transmission line within the preset range is assigned to the initial segment with the smallest distance from the center of the initial segment, thus obtaining the initial segment corresponding to the center of each initial segment;

[0044] Based on the initial segment corresponding to the center of each initial segment, the segment division is performed iteratively. After reaching the preset number of iterations, the segment division of the transmission line within the preset range is completed.

[0045] It should be noted that the embodiments in this specification, through the above content, have the following beneficial effects:

[0046] Improving the accuracy of segment division: By calculating the distance based on the initial segment center and tower location information, and assigning towers to the nearest initial segment, segment division can be more accurate. This distance-based allocation method considers the relative positional relationship between towers, avoids interference from subjective factors, and improves the accuracy of segment division.

[0047] Adaptability and Flexibility: Multiple initial segment centers are pre-defined, allowing for adaptability and flexibility in segment division. The number and location of initial segment centers can be adjusted according to actual conditions to accommodate different transmission line layouts and requirements. This flexibility better addresses complex line structures and varying hazard distributions.

[0048] Iterative optimization: By iteratively dividing the power transmission lines into segments, the boundaries and extent of each segment can be continuously optimized. In each iteration, adjustments are made based on the results of the previous division, resulting in a more reasonable and precise segmentation. This iterative optimization process can gradually improve the quality of segment division and enhance the management effectiveness of transmission lines.

[0049] Risk assessment and resource allocation: The divided sections can be used for risk assessment and resource allocation. Based on the hazard scores of different sections, the risk level of each section can be determined, and maintenance resources and strategies can be allocated accordingly. High-risk sections can receive more attention and resource investment, improving the safety and reliability of transmission lines.

[0050] Furthermore, if the segment iteration division does not reach the preset number of iterations, after obtaining the initial segments corresponding to the centers of each initial segment, the method further includes:

[0051] The location information and hazard scores of multiple towers in each initial section are averaged to obtain the first section center of each initial section.

[0052] Based on the location information of the center of the first section of each initial section and each tower, and the hazard score of each tower, the distance between each tower and the center of each first initial section is re-determined;

[0053] Each tower in the preset range of the transmission line is assigned to the first segment with the smallest distance from the center of the first segment, thus obtaining the first segment with the center of each first segment.

[0054] It should be noted that the embodiments in this specification, through the above content, have the following beneficial effects:

[0055] Improving the accuracy of segmentation: Through multiple iterations, the center position and range of each segment can be determined more accurately, reducing errors in the initial segmentation. This helps to segment more precisely and improve the quality of segmentation.

[0056] Optimize segment distribution: As the number of iterations increases, the segment distribution becomes more optimized. Towers are more rationally allocated to different segments, making the towers in each segment have more similar characteristics and risk levels, which facilitates subsequent management and maintenance.

[0057] Furthermore, after assigning each tower in the preset range of the transmission line to the first segment with the smallest distance from the center of the first segment, and obtaining the first segment with the center of each first segment, the method further includes:

[0058] If the segment iteration division meets the iteration requirements, determine whether the towers in each initial segment are consistent with the corresponding first segment.

[0059] If there is a discrepancy, the location information and hazard scores of multiple towers in each first section are averaged to obtain the center of the second section of each first section.

[0060] Based on the location information of the center of the second section of each first section and each tower, and the hazard score of each tower, the distance between each tower and the center of each second initial section is re-determined;

[0061] Each tower in the preset range of the transmission line is assigned to the second segment with the smallest distance from the center of the second segment, thus obtaining the second segment with the center of each second segment.

[0062] It should be noted that the embodiments in this specification, through the above content, have the following beneficial effects:

[0063] Improving the accuracy and stability of segment division: By iteratively dividing the segments and determining whether the towers are consistent, the segment division can be continuously optimized, making it more accurately reflect the actual situation of the transmission line. This helps improve the stability of segment division and reduce subsequent problems caused by inaccurate initial division.

[0064] Optimize resource allocation and management: Accurate segmentation allows for a more rational allocation of resources across different segments. When the segmentation convergence meets expectations, key areas for maintenance, repair, and monitoring can be identified more effectively, improving resource utilization efficiency.

[0065] Furthermore, after obtaining the initial segments corresponding to the centers of each initial segment, the method further includes:

[0066] Determine the number of towers in each initial section;

[0067] If it is determined that the number of towers in the first designated initial section is less than the first preset value, the first designated initial section will be deleted.

[0068] Based on the distance between the towers in the first designated initial segment and the center of other initial segments, the towers in the first designated initial segment are assigned to other initial segments.

[0069] It should be noted that the embodiments in this specification, through the above content, have the following beneficial effects:

[0070] Improving the rationality of segment division: By deleting initial segments with fewer towers and assigning their towers to other segments, the number of towers in each segment can be more balanced, thus improving the rationality of segment division.

[0071] Optimize resource allocation: More rational segment division helps optimize resource allocation. By deleting segments with fewer poles, resources can be concentrated in other segments, improving resource utilization efficiency.

[0072] Furthermore, after obtaining the initial segments corresponding to the centers of each initial segment, the method further includes:

[0073] Determine the number of towers in each initial section;

[0074] If it is determined that the number of towers in the second designated initial segment is greater than the second preset value, the distances between each tower in the second designated initial segment and the center of the initial segment of the second designated initial segment are sorted to obtain the distance sorting result;

[0075] Based on the distance sorting results, towers exceeding the second preset value are assigned to other initial sections.

[0076] It should be noted that the embodiments in this specification, through the above content, have the following beneficial effects:

[0077] Optimize resource allocation: By allocating some of the poles in an initial section with an excessive number of poles to other initial sections, resources can be distributed more evenly across the sections, improving resource utilization efficiency.

[0078] Improving management efficiency: A more rational division of sections helps improve management efficiency. A moderate number of poles within each section facilitates effective supervision and management by administrators.

[0079] Enhancing the stability of sections: Distributing towers to other sections can make the number of towers in each section more stable, reducing instability caused by too many or too few towers in a section.

[0080] Furthermore, after dividing the transmission line within the preset range into multiple sections based on the location information of each tower and the hazard score, the method further includes:

[0081] Based on the location information of each tower, determine the towers included in each zone;

[0082] Based on the hazard score of each tower and the towers included in each zone, the hazard score of each zone is determined.

[0083] Based on the hazard scores of each zone, warning zones with hazard scores higher than the preset hazard scores are identified in each zone.

[0084] It should be noted that the embodiments in this specification, through the above content, have the following beneficial effects:

[0085] Improving the accuracy of risk warnings: By dividing areas based on the location information of towers and their hazard scores, and determining warning zones, areas with high risks can be identified more accurately. This helps to take targeted measures in advance and reduce the likelihood of accidents.

[0086] Optimize resource allocation: Once the warning zones are identified, more resources can be concentrated in these areas for maintenance and repair, improving resource utilization efficiency. At the same time, it avoids over-investing resources in low-risk zones, achieving a more rational allocation of resources.

[0087] This specification provides one or more embodiments of a transmission line segmentation device, comprising:

[0088] The tower information acquisition unit acquires the hidden danger data and location information of each tower in the transmission line within a preset range. The hidden danger data is the number of times each type of hidden danger occurs in each tower within a preset time.

[0089] The weight information determination unit determines the comprehensive weight information for each type of hazard based on the hazard data.

[0090] The hazard score determination unit determines the hazard score for each tower based on the comprehensive weight information and the hazard data.

[0091] The segment division unit divides the transmission line within the preset range into multiple segments based on the location information of each tower and the hazard score.

[0092] This specification provides one or more embodiments of a transmission line segmentation device, comprising:

[0093] At least one processor; and,

[0094] A memory communicatively connected to the at least one processor; wherein,

[0095] The memory stores instructions that can be executed by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to:

[0096] Obtain the hidden danger data and location information of each tower in the transmission line within a preset range. The hidden danger data is the number of times each type of hidden danger occurs in each tower within a preset time.

[0097] Based on the aforementioned hazard data, determine the comprehensive weight information for each hazard type;

[0098] Based on the comprehensive weighting information and the hidden danger data, the hidden danger score for each tower is determined;

[0099] Based on the location information and hazard score of each tower, the transmission line within the preset range is divided into multiple sections.

[0100] This specification provides one or more embodiments of a non-volatile computer storage medium storing computer-executable instructions, which, when executed by a computer, can perform the following:

[0101] Obtain the hidden danger data and location information of each tower in the transmission line within a preset range. The hidden danger data is the number of times each type of hidden danger occurs in each tower within a preset time.

[0102] Based on the aforementioned hazard data, determine the comprehensive weight information for each hazard type;

[0103] Based on the comprehensive weighting information and the hidden danger data, the hidden danger score for each tower is determined;

[0104] Based on the location information and hazard score of each tower, the transmission line within the preset range is divided into multiple sections.

[0105] The above-described at least one technical solution adopted in the embodiments of this specification can achieve the following beneficial effects:

[0106] Enhanced safety: By considering the potential hazards of each tower, it is possible to more accurately identify potential safety risks, delineate high-risk sections, and implement targeted maintenance and repair measures to reduce the likelihood of accidents. Furthermore, reasonable section division helps optimize resource allocation, ensuring more frequent monitoring and maintenance of critical areas, and improving the overall safety of transmission lines.

[0107] Improved maintenance efficiency: Dividing maintenance into sections based on hazard scores allows for more targeted maintenance work. Maintenance personnel can prioritize sections with high hazard scores, improving efficiency and reducing unnecessary inspections and repairs. Furthermore, clear section divisions facilitate the development of maintenance plans and the allocation of personnel, enhancing planning and coordination, and further improving maintenance efficiency.

[0108] Cost savings: Precise segmentation avoids over-maintenance of the entire transmission line, reducing maintenance costs. Maintaining only the sections requiring key attention saves manpower, material resources, and financial resources. Furthermore, timely detection and handling of potential hazards prevents the escalation of faults, reducing maintenance costs and power outage losses.

[0109] Enhanced reliability: Accurate segmentation helps to promptly identify and resolve potential problems, improving the reliability of transmission lines. This reduces the probability of faults and ensures the stability of power supply. Furthermore, focused monitoring and maintenance of high-risk sections allows for proactive preventative measures, reducing the impact of faults on the power system and enhancing overall system reliability.

[0110] Adaptability and Flexibility: This method can flexibly adjust the preset range and time according to actual conditions to adapt to different transmission lines and operating environments. It can reflect changes in line conditions in a timely manner, ensuring the accuracy and effectiveness of section division. Furthermore, as the power system develops and changes, this method can be easily updated and optimized, maintaining its adaptability to transmission line management.

[0111] Risk assessment and early warning: Determining hazard scores serves as the basis for risk assessment, helping power departments quantify and compare risks in different sections. This allows for proactive risk control measures to reduce risk levels. Furthermore, establishing an early warning mechanism based on section divisions enables timely detection of hazard trends and the issuance of warning signals, facilitating emergency measures to ensure the safe operation of transmission lines. Attached Figure Description

[0112] To more clearly illustrate the technical solutions in the embodiments or prior art of this specification, the drawings used in the description of the embodiments or prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this specification. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In the drawings:

[0113] Figure 1 A flowchart illustrating a method for dividing transmission line sections, provided for one or more embodiments of this specification;

[0114] Figure 2A schematic diagram illustrating the high-risk zone division process provided in one or more embodiments of this specification;

[0115] Figure 3 A visualization of the segmentation provided for one or more embodiments of this specification;

[0116] Figure 4 A schematic diagram of the structure of a transmission line section dividing device provided in one or more embodiments of this specification;

[0117] Figure 5 This is a structural schematic diagram of a transmission line section dividing device provided for one or more embodiments of this specification. Detailed Implementation

[0118] This specification provides a method, apparatus, equipment, and medium for dividing power transmission line sections.

[0119] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0120] Figure 1 This diagram illustrates a method for dividing transmission line sections according to one or more embodiments of this specification. This process can be executed by a transmission line section division system. Certain input parameters or intermediate results in the process can be manually adjusted to help improve accuracy.

[0121] The method flow steps of the embodiments in this specification are as follows:

[0122] S102, obtain the hidden danger data and location information of each tower in the transmission line within a preset range, wherein the hidden danger data is the number of times each type of hidden danger occurs in each tower within a preset time.

[0123] In the embodiments of this specification, the acquisition of the hazard data and location information of each tower can be achieved through the following specific implementation scheme:

[0124] Define the preset scope: Identify the range of power transmission lines from which hazard data and location information need to be obtained.

[0125] Collect hazard data: A database or spreadsheet can be designed to record the occurrence frequency of each hazard type in each tower. Each tower can be marked with a serial number, such as tower 1, tower 2, etc. Hazard types can be various items or causes that trigger hazards, such as excavators, cranes, bird damage, smoke, etc.

[0126] Hazard data can be obtained through the following methods:

[0127] Regular inspections: Arrange for inspection personnel to regularly inspect power transmission lines and record the types of hidden dangers found and the number of times they occur.

[0128] Fault Reporting: Collect fault reports of power transmission lines and extract potential hazard information from them.

[0129] Monitoring system: Utilizes online monitoring equipment to monitor the status of the towers in real time and obtain data on potential hazards.

[0130] Obtaining location information: The precise coordinates of each tower can be determined using the Global Positioning System (GPS) or other positioning technologies. This location information is then associated with the tower's identification or number for subsequent analysis and processing.

[0131] Data integration and management: Integrate the collected hazard data and location information into a unified database or data platform. Ensure the accuracy and integrity of the data by performing data cleaning and verification.

[0132] S104. Based on the aforementioned hazard data, determine the comprehensive weight information for each hazard type.

[0133] In the embodiments of this specification, the comprehensive weight information may include objective weight and subjective weight. Objective data can be determined based on the actual data obtained, and subjective weight can be determined by preset settings.

[0134] It should be noted that, when determining the comprehensive weight information of each type of hazard based on the hazard data, the objective weight of each hazard type can be determined based on the number of occurrences of each hazard type in each tower within the preset time period in the hazard data; the subjective weight of each hazard type can be obtained in advance; and the comprehensive weight information of each hazard type can be determined based on the objective weight and the subjective weight of each hazard type.

[0135] It should be noted that the above content can be implemented through the following specific implementation plan:

[0136] Data collection and processing: Collect data on the frequency of occurrence of each type of hazard in each tower within a preset time period. Process and clean the data to ensure its accuracy and completeness.

[0137] Determine objective weights: Select an appropriate method for determining objective weights, such as the entropy weight method or the coefficient of variation method. Apply the selected method to calculate the objective weight of each type of hazard based on the frequency of hazard occurrence.

[0138] Obtaining subjective weights: Invite experts or professionals in relevant fields to assess the importance of each type of hazard based on their experience and knowledge. Subjective weights can be obtained through methods such as questionnaires and expert scoring.

[0139] Overall weight calculation: Combine objective and subjective weights, using a weighted average or other suitable method. Determine the weight ratio of objective and subjective weights based on the specific circumstances.

[0140] It should be noted that the embodiments in this specification, through the above content, have the following beneficial effects:

[0141] Improved Accuracy: By comprehensively considering both objective weights (based on the frequency of hazard occurrences) and subjective weights (pre-set), the importance of each hazard type can be more fully reflected. Objective weights, based on actual data, provide an objective assessment; subjective weights consider expert experience and specific needs. Combining the two improves the accuracy of weight determination. Furthermore, this comprehensive weight determination method helps avoid the bias of a single factor and more accurately reflects the impact of each hazard type on transmission line safety.

[0142] Flexibility and adaptability: Subjective weights can be adjusted according to actual conditions to adapt to different transmission lines, operating environments, or specific management requirements. This flexibility makes weight determination more adaptable and better meets actual needs. Furthermore, subjective weights can be updated and adjusted based on new information or experience to maintain their rationality and effectiveness.

[0143] Furthermore, when determining the objective weight of each hazard type based on the number of occurrences of each hazard type in each tower within the preset time period in the hazard data, the number of towers and the proportion of each hazard type can be determined first based on the number of occurrences of each hazard type in each tower within the preset time period in the hazard data; the entropy value of each hazard type can be determined based on the number of towers and the proportion; and the objective weight of each hazard type can be determined based on the entropy value of each hazard type.

[0144] It should be noted that the above content can be implemented through the following specific implementation plan:

[0145] Data collection and processing: Collect data on the frequency of occurrence of each type of hazard in each tower within a preset time period. Process and clean the data to ensure its accuracy and completeness.

[0146] Determine the number of poles and the proportion of each type of hazard: Count the total number of poles within the preset time period. For each type of hazard, calculate the number of times it occurs in all poles and the proportion of that type of hazard.

[0147] Determine the entropy value for each type of hazard: For each type of hazard, calculate the entropy value based on its proportion. The formula for calculating the entropy value can be selected according to the specific circumstances.

[0148] Determine the objective weight of each hazard type: Calculate the objective weight based on the entropy value of each hazard type. The formula for calculating the objective weight can be selected according to the specific circumstances.

[0149] It should be noted that the embodiments in this specification, through the above content, have the following beneficial effects:

[0150] Accuracy and objectivity: By determining the proportion and entropy value of each type of hidden danger based on the number of occurrences within a preset time, and then determining the objective weight, this method is based on actual data, reduces the influence of subjective factors, and improves the accuracy and objectivity of weight determination.

[0151] Comprehensive consideration: The number of towers and the frequency of occurrence of each type of hazard are taken into account, providing a more comprehensive reflection of the importance of different hazard types. It not only focuses on the frequency of hazard occurrence but also considers their distribution throughout the entire transmission line.

[0152] Quantitative assessment: This quantifies the importance of different hazard types and expresses it as an objective weight, providing specific numerical basis for subsequent decision-making and analysis. It helps to more accurately compare and evaluate the relative importance of different hazard types.

[0153] S106. Based on the comprehensive weight information of each type of hazard and the hazard data of each tower, determine the hazard score of each tower.

[0154] It should be noted that the above content can be implemented through the following specific implementation plan:

[0155] Determine the calculation method: Select a suitable calculation method, such as the weighted summation method. Based on the comprehensive weight information, determine the weight of each hazard type.

[0156] Calculate the hazard score for each tower: For each tower, multiply the occurrence frequency of each hazard type by its corresponding weight. Sum the weighted values ​​of all hazard types to obtain the hazard score for that tower.

[0157] S108, Based on the location information of each tower and the hazard score, the transmission line within the preset range is divided into multiple sections.

[0158] In the embodiments of this specification, the location information and the hazard score can be processed according to a preset standardization method to obtain the standardized location information and standardized hazard score of each tower; based on the standardized location information and the standardized hazard score, the transmission line within the preset range is divided into multiple sections.

[0159] It should be noted that the above content can be implemented through the following specific implementation plan:

[0160] Data preparation: Obtain the location information and hazard score of each tower. Determine the preset standardization method, such as converting the location information into coordinate form and mapping the hazard score to a specific range.

[0161] Standardization processing: For location information, it is converted according to a preset standardization method, such as converting geographic coordinates to planar coordinates or other standardized coordinate systems. For hazard scores, it is mapped according to a preset standardization method, such as mapping the score range to between 0 and 1 or other standardized numerical ranges.

[0162] Segmentation: Based on the standardized location information and hazard scores, the rules for segmentation are determined. Segmentation can be based on location continuity, similarity of hazard scores, or other relevant factors. Clustering algorithms, segmentation algorithms, or other suitable methods can also be used for segmentation.

[0163] Determine the boundaries of each section: Based on the division rules, determine the boundaries of each section. Section boundaries can be defined using coordinate ranges, hazard score thresholds, or other conditions.

[0164] Segment Identification and Naming: Assign a unique identifier or name to each segment for easy identification and management. Segments can be named based on their characteristics, location, or other relevant information.

[0165] Output results: Output the segment information, including segment identifiers, boundary ranges, standardized location information, and standardized hazard scores. The segment division results can be displayed in tables, charts, or other formats.

[0166] It should be noted that the embodiments in this specification, through the above content, have the following beneficial effects:

[0167] Improving the accuracy of section division: By standardizing location information and hazard scores, the dimensional differences between different data can be eliminated, allowing them to be compared and analyzed on the same scale. This enables a more accurate reflection of the relative position and hazard level of each tower, thereby improving the accuracy of section division.

[0168] Enhancing the rationality of section division: Standardized location information and hazard scores can better reflect the relative relationships between towers. Section division based on this standardized data allows for a more reasonable division of transmission lines into different sections, ensuring that towers within each section have similar characteristics and risk levels.

[0169] Facilitates comparison and analysis: Standardized location information and hazard scores are comparable, making data analysis and comparison easier. This helps identify differences and patterns between different sections, providing support for further research and decision-making.

[0170] Furthermore, when dividing the transmission line within the preset range into multiple segments based on the location information and hazard scores of each tower, multiple pre-set initial segment centers can be obtained; based on the location information of each initial segment center and each tower, and the hazard scores of each tower, the distance between each tower and each initial segment center is determined; each tower in the transmission line within the preset range is assigned to the initial segment with the smallest distance from the initial segment center, thus obtaining the initial segment corresponding to each initial segment center; segment iterative division is performed based on the initial segments corresponding to each initial segment center, and after reaching a preset number of iterations, the segment division in the transmission line within the preset range is completed.

[0171] It should be noted that the above content can be implemented through the following specific implementation plan:

[0172] Data preparation: Obtain the location information of multiple pre-defined initial segment centers. Obtain the location information and hazard scores of each tower. Determine the preset number of iterations.

[0173] Distance Calculation: Based on the location information of each initial section center and each tower, and the hazard score of each tower, determine the distance between each tower and the center of each initial section. A suitable distance calculation formula, such as Euclidean distance or other applicable distance measurement methods, can be used. Specifically, the distance between each tower and the center of each initial section can be determined using the following formula:

[0174] Among them, D i Let be the distance between the i-th tower and the center of each initial segment. These represent the longitude, latitude, and hazard score of the i-th tower, respectively, (c k .Lat,c k .Lng,c k .S) represents the three-dimensional position coordinates of the center of the k-th initial segment.

[0175] Assigning towers: Each tower is assigned to the initial segment corresponding to the center of the nearest initial segment. This assignment can be accomplished using simple comparison and assignment logic.

[0176] Iterative Segment Division: For each initial segment, iterative division is performed. In each iteration, the segment center is recalculated based on the location information of the towers and the hazard score within the current segment. The mean, median, or other suitable center calculation methods can be used. Based on the new segment center, the distance between each tower and the segment center is recalculated and redistributed. This iterative process is repeated until the preset number of iterations is reached.

[0177] Segment division complete: After reaching the preset number of iterations, segment division is completed. The segment corresponding to the center of each latest segment is the final segment division result.

[0178] It should be noted that the embodiments in this specification, through the above content, have the following beneficial effects:

[0179] Improving the accuracy of segment division: By calculating the distance based on the initial segment center and tower location information, and assigning towers to the nearest initial segment, segment division can be more accurate. This distance-based allocation method considers the relative positional relationship between towers, avoids interference from subjective factors, and improves the accuracy of segment division.

[0180] Adaptability and Flexibility: Multiple initial segment centers are pre-defined, allowing for adaptability and flexibility in segment division. The number and location of initial segment centers can be adjusted according to actual conditions to accommodate different transmission line layouts and requirements. This flexibility better addresses complex line structures and varying hazard distributions.

[0181] Iterative optimization: By iteratively dividing the power transmission lines into segments, the boundaries and extent of each segment can be continuously optimized. In each iteration, adjustments are made based on the results of the previous division, resulting in a more reasonable and precise segmentation. This iterative optimization process can gradually improve the quality of segment division and enhance the management effectiveness of transmission lines.

[0182] Risk assessment and resource allocation: The divided sections can be used for risk assessment and resource allocation. Based on the hazard scores of different sections, the risk level of each section can be determined, and maintenance resources and strategies can be allocated accordingly. High-risk sections can receive more attention and resource investment, improving the safety and reliability of transmission lines.

[0183] Furthermore, if the segment iteration division does not reach the preset number of iterations, after obtaining the initial segment corresponding to the center of each initial segment, the location information and hazard scores of multiple towers in each initial segment can be averaged to obtain the first segment center of each initial segment; based on the location information of the first segment center of each initial segment and each tower, and the hazard score of each tower, the distance between each tower and the center of each first initial segment is re-determined; each tower in the preset range of the transmission line is assigned to the first segment with the smallest distance from the center of the first segment to obtain the first segment of each first segment center.

[0184] It should be noted that the embodiments in this specification, through the above content, have the following beneficial effects:

[0185] Improving the accuracy of segmentation: Through multiple iterations, the center position and range of each segment can be determined more accurately, reducing errors in the initial segmentation. This helps to segment more precisely and improve the quality of segmentation.

[0186] Optimize segment distribution: As the number of iterations increases, the segment distribution becomes more optimized. Towers are more rationally allocated to different segments, making the towers in each segment have more similar characteristics and risk levels, which facilitates subsequent management and maintenance.

[0187] Furthermore, after assigning each tower in the preset range of the transmission line to the first segment with the smallest distance from the center of the first segment, and obtaining the first segment center of each first segment, if the segment iterative division meets the iteration requirements, it is determined whether each initial segment is consistent with the towers in the corresponding first segment; if they are inconsistent, the position information and hazard scores of multiple towers in each first segment are averaged to obtain the second segment center of each first segment; based on the second segment center of each first segment and the position information of each tower, as well as the hazard score of each tower, the distance between each tower and the center of each second initial segment is re-determined; each tower in the preset range of the transmission line is assigned to the second segment with the smallest distance from the center of the second segment, and the second segment center of each second segment is obtained. If they are consistent, the calculation can be ended, and the segment division is completed.

[0188] It should be noted that the embodiments in this specification, through the above content, have the following beneficial effects:

[0189] Improving the accuracy and stability of segment division: By iteratively dividing the segments and determining whether the towers are consistent, the segment division can be continuously optimized, making it more accurately reflect the actual situation of the transmission line. This helps improve the stability of segment division and reduce subsequent problems caused by inaccurate initial division.

[0190] Optimize resource allocation and management: Accurate segmentation allows for a more rational allocation of resources across different segments. When the segmentation convergence meets expectations, key areas for maintenance, repair, and monitoring can be identified more effectively, improving resource utilization efficiency.

[0191] Furthermore, after obtaining the initial segments corresponding to the centers of each initial segment, the number of poles in each initial segment can be determined. If the number of poles in the first designated initial segment is less than a first preset value, the first designated initial segment is deleted. Based on the distance between the poles in the first designated initial segment and the centers of other initial segments, the poles in the first designated initial segment are assigned to other initial segments. The first preset value can be set according to actual conditions.

[0192] Regarding the above content, the following specific implementation plan can be adopted:

[0193] Reassign towers to other initial segments: For each tower in the first designated initial segment, calculate its distance from the center of other initial segments. Assign that tower to the nearest other initial segment.

[0194] Update initial segment information: After deleting the first specified initial segment, update the information of other initial segments, including segment range and number of poles.

[0195] Output results: Output the updated initial segment division results, including the range of each initial segment and the tower information it contains.

[0196] It should be noted that the embodiments in this specification, through the above content, have the following beneficial effects:

[0197] Improving the rationality of segment division: By deleting initial segments with fewer towers and assigning their towers to other segments, the number of towers in each segment can be more balanced, thus improving the rationality of segment division.

[0198] Optimize resource allocation: More rational segment division helps optimize resource allocation. By deleting segments with fewer poles, resources can be concentrated in other segments, improving resource utilization efficiency.

[0199] Furthermore, after obtaining the initial segments corresponding to the centers of each initial segment, the number of towers in each initial segment can be determined. If it is determined that the number of towers in the second designated initial segment is greater than a second preset value, the distances between each tower in the second designated initial segment and the center of the second designated initial segment are sorted to obtain a distance sorting result. Based on the distance sorting result, towers exceeding the second preset value are allocated to other initial segments. The second preset value can be set according to actual conditions.

[0200] Regarding the above content, the following specific implementation plan can be adopted:

[0201] Calculate and sort distances: For each tower in the second specified initial segment, calculate its distance to the center of that initial segment. Sort these distances to obtain the distance sorting results.

[0202] Assigning towers to other initial segments: Based on the distance sorting results, towers exceeding the second preset value are sequentially assigned to other initial segments. Assignment can be done in order of distance from farthest to nearest, or according to other rules.

[0203] Update initial segment information: Remove the assigned towers from the second designated initial segment and update the information of other initial segments, including segment range and number of towers.

[0204] Output results: Output the updated initial segment division results, including the range of each initial segment and the tower information it contains.

[0205] It should be noted that the embodiments in this specification, through the above content, have the following beneficial effects:

[0206] Optimize resource allocation: By allocating some of the poles in an initial section with an excessive number of poles to other initial sections, resources can be distributed more evenly across the sections, improving resource utilization efficiency.

[0207] Improving management efficiency: A more rational division of sections helps improve management efficiency. A moderate number of poles within each section facilitates effective supervision and management by administrators.

[0208] Enhancing the stability of sections: Distributing towers to other sections can make the number of towers in each section more stable, reducing instability caused by too many or too few towers in a section.

[0209] Furthermore, after dividing the transmission line within the preset range into multiple sections based on the location information of each tower and the hazard score, the towers included in each section can be determined based on the location information of each tower; the hazard score of each section can be determined based on the hazard score of each tower and the towers included in each section; and warning sections with hazard scores higher than the preset hazard score can be identified in each section based on the hazard score of each section.

[0210] Regarding the above content, the following specific implementation plan can be adopted:

[0211] Determine the hazard score for each zone: For each zone, calculate the sum of the hazard scores for all the towers it contains. Use this sum as the hazard score for that zone.

[0212] Determine warning zones: Compare the hazard scores of each zone with the preset hazard scores. Zones with hazard scores higher than the preset hazard scores are designated as warning zones.

[0213] Output results: Output information about the warning zone, including zone number, location range, and hazard score.

[0214] It should be noted that the embodiments in this specification, through the above content, have the following beneficial effects:

[0215] Improving the accuracy of risk warnings: By dividing areas based on the location information of towers and their hazard scores, and determining warning zones, areas with high risks can be identified more accurately. This helps to take targeted measures in advance and reduce the likelihood of accidents.

[0216] Optimize resource allocation: Once the warning zones are identified, more resources can be concentrated in these areas for maintenance and repair, improving resource utilization efficiency. At the same time, it avoids over-investing resources in low-risk zones, achieving a more rational allocation of resources.

[0217] It should be noted that in recent years, my country has actively promoted digital transformation, and power grid companies have increasingly emphasized the visualization application of transmission lines. Visualization technology not only improves the efficiency of line inspections but also enables the timely detection of potential hazards that threaten the safety of transmission lines. Among these, hazard analysis is the core application of the transmission line visualization system.

[0218] Hidden dangers in power transmission lines pose a significant threat to power grid safety and the stability of power supply, and may even endanger people's lives and property. Although existing visualization platforms have hidden danger monitoring capabilities, the sheer number of transmission line towers and limited monitoring manpower make comprehensive coverage difficult. Therefore, identifying high-risk areas with a high frequency of hidden dangers and a significant impact on transmission line operation is particularly important. With the operation of hidden danger analysis functions, the continuously accumulating large amounts of structured and unstructured data (such as hidden danger details and images) provides a data foundation for identifying high-risk sections.

[0219] This specification proposes an embodiment that combines subjective and objective weights to determine the comprehensive weight of each type of hazard, and calculates the hazard score of the tower based on the comprehensive weight of the hazard type, so as to more comprehensively assess the harm of different hazards to the transmission line channel.

[0220] This specification proposes a method using the ISODATA clustering algorithm to perform cluster analysis on z-Score-normalized latitude and longitude and tower hazard scores, thereby identifying high-risk sections of transmission lines. This method eliminates the dimensional influence between longitude, latitude, and hazard scores, optimizes the problem of excessive dependence of the k-means algorithm on the k-value, and solves the problem that the moving window algorithm is unsuitable for spatially nonlinear distributed data.

[0221] It should be noted that the ISODATA (Iterative Self-Organizing Data Analysis Technique) clustering algorithm is a commonly used unsupervised clustering algorithm. It divides data points into different clusters through an iterative process.

[0222] The basic logic of the embodiments in this specification is as follows:

[0223] Taking a specific railway line as the analysis object, a combined weighting method is used to obtain the comprehensive weight of each hazard type. The hazard score for each tower is calculated based on the number of different hazard types and their corresponding weights. Data standardization is performed using the z-Scroe method based on the tower's latitude and longitude coordinates and corresponding hazard scores. The three-dimensional data of each tower's latitude and longitude coordinates and hazard scores are used as hazard location points. The ISODATA clustering algorithm is used to perform cluster analysis on the hazard location points, obtaining the hazard scores for each section. For detailed implementation procedures, please refer to [link to implementation details]. Figure 2 The schematic diagram shown illustrates the process of dividing high-risk zones. The location points of potential hazards in this embodiment can be understood as poles or towers, including the following:

[0224] S202, Calculate the comprehensive weight of hidden dangers using the combined weighting method.

[0225] Calculate objective weights using the entropy method:

[0226] Assuming there are m poles and n types of hazards, then the x-th hazard... ij To determine the number of occurrences of the j-th type of hazard on the i-th tower within a preset time period, construct an initial matrix R. X .

[0227]

[0228] The following formula is used to calculate the proportion P of each type of hidden danger on the tower. ij :

[0229]

[0230] The entropy value e of the hazard type is calculated using the following formula. j :

[0231]

[0232] The weight α of each of the n hazard types is calculated using the following formula. j :

[0233]

[0234] After obtaining the hazard data within a preset time period, the objective weights of the hazard types in the sample data are obtained through the above steps. See Table 1 for the objective weights of each hazard:

[0235] Table 1 Objective weights of each hidden danger

[0236] Serial Number Types of hazards Objective weighting of hazard types 1 excavator 0.12561132373502723 2 crane 0.1055925004044568 3 smoke 0.13891774648512625 4 Foreign objects in wires 0.11694266267633896 5 bulldozer 0.05083897526976715 6 Wildfire 0.14191813985224536 7 tower crane 0.037066426618498634 8 Bird damage 0.1421286294027527 9 pump truck 0.1409835955557869

[0237] Subjective weights were obtained using the analytic hierarchy process (AHP), as shown in Table 2 for the subjective weights of each potential hazard.

[0238] Table 2 Subjective Weights of Each Hidden Danger

[0239]

[0240]

[0241] The following hazard types were analyzed using a combined weighting method to obtain comprehensive weight information, as shown in Table 3:

[0242] Where, β j Subjective weights for each type of hazard.

[0243] Table 3 Overall Weight of Each Hazard

[0244] Serial Number Types of hazards Comprehensive weight of hazard types 1 excavator 0.033658757974829874 2 crane 0.005658904483114938 3 smoke 0.07444868294223338 4 Foreign objects in wires 0.06267181433830323 5 bulldozer 0.08173674379404466 6 Wildfire 0.15211330251088687 7 tower crane 0.05959382540266643 8 Bird damage 0.1523389132799192 9 pump truck 0.3777790552740013

[0245] S204, calculate the hazard score for each tower.

[0246] The comprehensive weight T obtained above j and the number of times N various hidden dangers occurred on the poles and towers j The hazard score S for each tower is obtained through weighted calculation. i Number of times various hidden dangers occurred on the pole / tower (N) j It can be obtained from the initial matrix Rx mentioned above.

[0247]

[0248] The hazard scores for each tower were obtained using the above calculation formula (latitude and longitude are not displayed due to data confidentiality), see Table 4 for the hazard scores of each tower:

[0249] Table 4 Hazard Scores for Each Tower

[0250] Tower number longitude latitude Hazard score 80 xxx xxx 21.808228,80 82 xxx xxx 9.216763,82 84 xxx xxx 7.776308,84 86 xxx xxx 1.359774,86 88 xxx xxx 0.100976,88 90 xxx xxx 0.011318,90 92 xxx xxx 2.562534,92 94 xxx xxx 1.186190,94 96 xxx xxx 0.735631,96

[0251] S206, standardization of latitude and longitude, and hazard score data.

[0252] The latitude and longitude information and hazard score of each tower are standardized using the following formula with z-score:

[0253] For the standardized data of longitude, latitude, and hazard scores, please refer to Table 5 for the standardized values:

[0254] Table 5 Standardized values

[0255]

[0256]

[0257] S208, execute the ISODATA self-organizing clustering algorithm to obtain the final high-risk sections.

[0258] a) Initial segment center selection C = {c 1, c 2, c 3, c 4, …c k};

[0259] b) Distance calculation

[0260] Among them, D i Let be the distance between the i-th tower and the center of each initial segment. These represent the longitude, latitude, and hazard score of the i-th tower, respectively, (c k .Lat,c k .Lng,c k .S) represents the three-dimensional position coordinates of the center of the k-th initial segment.

[0261] Calculate the distance between each tower and the initial segment center, and assign each tower to the segment with the smallest distance from the segment center.

[0262] c) Calculate and determine whether the number of towers in each section is less than the preset number, i.e., whether the following formula is satisfied: Num <N min The preset quantity value can be set according to the actual scenario.

[0263] For sections that meet this condition, the towers in this section will be assigned to the section closest to the center of the section, and the total number of sections will be reduced by 1.

[0264] d) Recalculate the segment center of all segments using the following formula:

[0265]

[0266] Center k (lat,lng,S) represents the calculation of all towers in each initial segment. The mean.

[0267] e) Iteration output results: ISODATA outputs the results after a preset number of iterations and sorts the segment sequence results according to the order in which the towers are included. See Table 6 for segment hazard scores.

[0268] Table 6 Section Hazard Scores

[0269]

[0270]

[0271] Furthermore, Figure 3 A visualization of the segmentation provided for one or more embodiments of this specification.

[0272] f) Identification of high-risk areas

[0273] Based on the hazard scores obtained from e), the hazard scores of the sections are sorted in reverse order, and the number of sections with the highest percentage P (rounded up) is taken as the high-hazard sections.

[0274] Taking the sample data as an example, if P is 0.3, then the final high-risk areas are: section 9, section 4, and section 2.

[0275] The embodiments in this specification determine the weight of each hazard type based on a combined weighting method, overcoming the shortcomings of a single weighting method. Different hazard scores are used for different hazard types according to their importance, improving the quality and rationality of the final high-hazard area classification.

[0276] In summary, the embodiments in this specification enable detailed identification and classification of high-risk sections of transmission line corridors, effectively assisting customers in accurately identifying critical protection sections of transmission line corridors. This allows power grid companies to more accurately grasp the status of transmission line corridors, predict potential problems, and achieve intelligent management of power grid operations. It significantly improves power grid reliability, reduces fault risks, and provides a solid guarantee for the stability and security of power supply.

[0277] Figure 4 This specification provides a schematic diagram of the structure of a transmission line section division device according to one or more embodiments, including: a tower information acquisition unit 402, a weight information determination unit 404, a hidden danger score determination unit 406, and a section division unit 408.

[0278] The tower information acquisition unit 402 acquires the hidden danger data and location information of each tower in the transmission line within a preset range. The hidden danger data is the number of times each type of hidden danger occurs in each tower within a preset time.

[0279] The weight information determination unit 404 determines the comprehensive weight information of each type of hidden danger based on the hidden danger data;

[0280] The hazard score determination unit 406 determines the hazard score of each tower based on the comprehensive weight information and the hazard data.

[0281] Section division unit 408 divides the preset range of transmission lines into multiple sections based on the location information of each tower and the hazard score.

[0282] Figure 5 A schematic diagram of a transmission line section dividing device provided for one or more embodiments of this specification includes:

[0283] At least one processor; and,

[0284] A memory communicatively connected to the at least one processor; wherein,

[0285] The memory stores instructions that can be executed by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to:

[0286] Obtain the hidden danger data and location information of each tower in the transmission line within a preset range. The hidden danger data is the number of times each type of hidden danger occurs in each tower within a preset time.

[0287] Based on the aforementioned hazard data, determine the comprehensive weight information for each hazard type;

[0288] Based on the comprehensive weighting information and the hidden danger data, the hidden danger score for each tower is determined;

[0289] Based on the location information and hazard score of each tower, the transmission line within the preset range is divided into multiple sections.

[0290] This specification provides one or more embodiments of a non-volatile computer storage medium storing computer-executable instructions, which, when executed by a computer, can perform the following:

[0291] Obtain the hidden danger data and location information of each tower in the transmission line within a preset range. The hidden danger data is the number of times each type of hidden danger occurs in each tower within a preset time.

[0292] Based on the aforementioned hazard data, determine the comprehensive weight information for each hazard type;

[0293] Based on the comprehensive weighting information and the hidden danger data, the hidden danger score for each tower is determined;

[0294] Based on the location information and hazard score of each tower, the transmission line within the preset range is divided into multiple sections.

[0295] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

Claims

1. A method for dividing transmission line sections, characterized in that, The method includes: Obtain the hidden danger data and location information of each tower in the transmission line within a preset range. The hidden danger data is the number of times each type of hidden danger occurs in each tower within a preset time. Based on the aforementioned hazard data, determine the comprehensive weight information for each hazard type; Based on the comprehensive weighting information and the hidden danger data, the hidden danger score for each tower is determined; Based on the location information and hazard score of each tower, the transmission line within the preset range is divided into multiple sections.

2. The method according to claim 1, characterized in that, The step of determining the comprehensive weight information for each type of hazard based on the hazard data includes: Based on the number of occurrences of each type of hazard in each tower within the preset time period in the hazard data, the objective weight of each hazard type is determined. Obtain the pre-set subjective weights for each type of hazard; Based on the objective weights and subjective weights of each type of hazard, the comprehensive weight information for each type of hazard is determined.

3. The method according to claim 2, characterized in that, The step of determining the objective weight of each hazard type based on the occurrence frequency of each hazard type in each tower within a preset time period in the hazard data includes: Based on the number of occurrences of each type of hazard in each tower within the preset time period in the hazard data, determine the number of towers and the proportion of each type of hazard; Based on the number of towers and their proportion, determine the entropy value of each type of hidden danger; The objective weight of each hazard type is determined based on its entropy value.

4. The method according to claim 1, characterized in that, The method involves dividing the transmission line within the preset range into multiple sections based on the location information and hazard score of each tower, including: The location information and the hazard score are processed according to a preset standardization method to obtain the standardized location information and standardized hazard score of each tower. Based on the standardized location information and the standardized hazard score, the transmission line within the preset range is divided into multiple sections.

5. The method according to claim 1, characterized in that, The method involves dividing the transmission line within the preset range into multiple sections based on the location information and hazard score of each tower, including: Obtain multiple pre-defined initial segment centers; Based on the location information of each initial section center and each tower, and the hazard score of each tower, the distance between each tower and each initial section center is determined; Each tower in the transmission line within the preset range is assigned to the initial segment that is closest to the center of the initial segment, thus obtaining the initial segment corresponding to the center of each initial segment; Based on the initial segment corresponding to the center of each initial segment, the segment division is performed iteratively. After reaching the preset number of iterations, the segment division of the transmission line within the preset range is completed.

6. The method according to claim 5, characterized in that, If the segment iteration division does not reach the preset number of iterations, after obtaining the initial segments corresponding to the centers of each initial segment, the method further includes: The location information and hazard scores of multiple towers in each initial section are averaged to obtain the first section center of each initial section. Based on the location information of the center of the first section of each initial section and each tower, and the hazard score of each tower, the distance between each tower and the center of each first initial section is re-determined; Each tower in the preset range of the transmission line is assigned to the first segment with the smallest distance from the center of the first segment, thus obtaining the first segment with the center of each first segment.

7. The method according to claim 6, characterized in that, After assigning each tower in the preset range of the transmission line to the first segment with the smallest distance from the center of the first segment, and obtaining the first segment with the center of each first segment, the method further includes: If the segment iteration division meets the iteration requirements, determine whether the towers in each initial segment are consistent with the corresponding first segment. If there is a discrepancy, the location information and hazard scores of multiple towers in each first section are averaged to obtain the center of the second section of each first section. Based on the location information of the center of the second section of each first section and each tower, and the hazard score of each tower, the distance between each tower and the center of each second initial section is re-determined; Each tower in the preset range of the transmission line is assigned to the second segment with the smallest distance from the center of the second segment, thus obtaining the second segment with the center of each second segment.

8. The method according to claim 5, characterized in that, After obtaining the initial segments corresponding to the centers of each initial segment, the method further includes: Determine the number of towers in each initial section; If it is determined that the number of towers in the first designated initial section is less than the first preset value, the first designated initial section will be deleted. Based on the distance between the towers in the first designated initial segment and the center of other initial segments, the towers in the first designated initial segment are assigned to other initial segments.

9. The method according to claim 5, characterized in that, After obtaining the initial segments corresponding to the centers of each initial segment, the method further includes: Determine the number of towers in each initial section; If it is determined that the number of towers in the second designated initial segment is greater than the second preset value, the distances between each tower in the second designated initial segment and the center of the initial segment of the second designated initial segment are sorted to obtain the distance sorting result; Based on the distance sorting results, towers exceeding the second preset value are assigned to other initial sections.

10. The method according to claim 1, characterized in that, After dividing the transmission line within the preset range into multiple sections based on the location information and hazard score of each tower, the method further includes: Based on the location information of each tower, determine the towers included in each zone; Based on the hazard score of each tower and the towers included in each zone, the hazard score of each zone is determined. Based on the hazard scores of each zone, warning zones with hazard scores higher than the preset hazard scores are identified in each zone.

11. A transmission line section division device, characterized in that, include: The tower information acquisition unit acquires the hidden danger data and location information of each tower in the transmission line within a preset range. The hidden danger data is the number of times each type of hidden danger occurs in each tower within a preset time. The weight information determination unit determines the comprehensive weight information for each type of hazard based on the hazard data. The hazard score determination unit determines the hazard score for each tower based on the comprehensive weight information and the hazard data. The segment division unit divides the transmission line within the preset range into multiple segments based on the location information of each tower and the hazard score.

12. A transmission line section division device, characterized in that, include: At least one processor; as well as, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enable the at least one processor to: Obtain the hidden danger data and location information of each tower in the transmission line within a preset range. The hidden danger data is the number of times each type of hidden danger occurs in each tower within a preset time. Based on the aforementioned hazard data, determine the comprehensive weight information for each hazard type; Based on the comprehensive weighting information and the hidden danger data, the hidden danger score for each tower is determined; Based on the location information and hazard score of each tower, the transmission line within the preset range is divided into multiple sections.

13. A non-volatile computer storage medium, characterized in that, It stores computer-executable instructions, which, when executed by a computer, can achieve the following: Obtain the hidden danger data and location information of each tower in the transmission line within a preset range. The hidden danger data is the number of times each type of hidden danger occurs in each tower within a preset time. Based on the aforementioned hazard data, determine the comprehensive weight information for each hazard type; Based on the comprehensive weighting information and the hidden danger data, the hidden danger score for each tower is determined; Based on the location information and hazard score of each tower, the transmission line within the preset range is divided into multiple sections.

Images