Intelligent dispatching method and system for iron tower construction in power transmission and transformation project

Abstract

The invention relates to the technical field of intelligent scheduling, in particular to an intelligent scheduling method and system for iron tower construction in a power transmission and transformation project, and the method comprises the following steps: obtaining path topographic data, extracting a gradient and a width, positioning a passing tower position range, sorting unloading point time priorities, recognizing path time conflicts, and adjusting a transportation structure and unloading point positions. And sorting a task starting order to generate a scheduling sequence table. According to the method, in a construction scheduling scene with multi-path transportation, terrain and multi-task overlapping, by means of a datamation extraction mode of the path gradient and the passing width, a passing basic path can be defined, the tower position construction range can be limited, and through time span sorting of unloading point time information and scheduling periods, task priority labels are constructed, so that the unloading point time information and the scheduling period time information can be determined. The time interval conflict risk in the transportation path can be captured in time, and efficient coordination of dynamic adaptation and rhythm regulation and control of transportation scheduling under the conditions of high concurrency of construction resources and task path intersection is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent scheduling, in particular to a tower construction intelligent scheduling method and system in a power transmission and transformation project. BACKGROUND

[0002] The technical field of intelligent scheduling involves coordinating and optimizing the allocation of tasks, resources, and time in a dynamic environment with multiple tasks and resources through algorithm rules, information perception, and automatic control. Its core includes scheduling algorithm design, real-time information collection, resource allocation strategy, and system response mechanism. It is widely used in manufacturing production scheduling, transportation scheduling, power system scheduling, and engineering construction scheduling. In the construction process of a power transmission and transformation project, the application of intelligent scheduling is particularly critical, as it needs to coordinate multiple factors such as construction personnel, mechanical equipment, material transportation, and environmental information to ensure the efficient progress of the project and improve construction management. The traditional intelligent scheduling method for tower construction in a power transmission and transformation project refers to the allocation of construction resources and the arrangement of work processes based on field operation conditions and construction progress requirements, relying on manual experience or fixed rule-based planning methods. The scheduling process is completed by regularly checking the construction progress manually, developing construction plans through paper or electronic forms, manually coordinating construction teams and crane usage arrangements by on-site dispatchers, and referring to weather forecasts for construction period arrangements. This method is difficult to update scheduling information or respond quickly when faced with working conditions, unexpected situations, or simultaneous work at multiple construction sites, affecting the overall efficiency of project scheduling and the rationality of resource use.

[0003] In the traditional scheduling process, task and resource allocation relies on manual experience or preset rules, lacks detailed analysis of multi-path topological structures, and is difficult to quickly respond to environments with multiple towers, multiple paths, and parallel work. Paper or electronic form recording methods cannot effectively reflect the linkage between construction progress and real-time path status. When encountering path construction changes or unexpected weather conditions, there is a lack of ability to analyze based on time and spatial dimensions, resulting in scheduling information lag, task priority ambiguity, repeated or conflicting transportation routes, and frequent transportation delays or task congestion problems in areas with dense path intersections, affecting the coordinated progress of the overall project and the rational use of resources. SUMMARY

[0004] To solve the technical problems existing in the prior art, the present application provides a tower construction intelligent scheduling method in a power transmission and transformation project, comprising the following steps: To achieve the above-mentioned purpose, the present application adopts the following technical solution: a tower construction intelligent scheduling method in a power transmission and transformation project, comprising the following steps: S1: Obtain topographic survey data of the connecting path between the iron towers, extract the slope change and passing width of the path segment, identify the corresponding structure of the path number and structure index, set the path number of the path passing limit as the passing basic path, and generate an initialization scheduling feasible region identification table; S2: Use the existing unloading point number in the tower position set in the initialization scheduling feasible region identification table, record the time when the unloading point last completed tower material unloading, sort the time span of the unloading point set, and generate an unloading point task priority label set; S3: Based on the associated path segment number of the unloading point in the unloading point task priority label set, extract the closing start information in the path segment construction plan, and one-by-one judge with the transportation time period, identify the path segment number with time period conflict existing in the real-time transportation path, and generate a path segment construction influence early warning list; S4: Through the task blocking path segment number listed in the path segment construction influence early warning list, extract the transportation loading structure type configured for the tower material in the corresponding task, adjust the corresponding relationship between the structure with passing capacity and the unloading point of the unloading point, and generate a tower material transportation structure and node scheduling result.

[0005] As a further scheme of the application, the initialization scheduling feasible region identification table includes tower position number, passing basic path number, geographical area range that can meet the passing condition, path structure index type, the unloading point task priority label set includes unloading point number, unloading completion time label, scheduling cycle start time label, time span priority level, the path segment construction influence early warning list includes path segment number with time period conflict, scheduling starting point and ending point affected identification, path segment construction time period label, and the tower material transportation structure and node scheduling result includes tower material transportation structure type, unloading point matching relationship, and node passing capacity adjustment label.

[0006] As a further scheme of the application, the specific steps of S1 are: S101: Obtain topographic survey data of the connecting path between the iron towers, detect the continuous elevation point coordinates and corresponding distance data of the path segment, calculate the longitudinal slope value of the path segment according to the height difference and horizontal distance between adjacent coordinate points, screen the number information of the non-overrun path segment, and generate a path slope passing number set; S102: Call the path number in the path slope passing number set, extract the passing width value and path structure number parameter of the corresponding path segment, classify according to whether the passing width value is less than the tower passing width reference value, set the path number with a width value less than the reference value as the passing basic path number, identify the one-to-one correspondence relationship between the passing basic path number and the structure number, and obtain a structure passing number reference value; S103: According to the structure passing number corresponding to the path number in the structure number, the structure number corresponding tower site center coordinate value and the foundation tower type parameter value are extracted, the tower site center coordinates with the foundation tower type width value less than the path passing width reference value are screened out, the point pair combination of the tower site center distance meeting the path layout requirement is extracted in the screened coordinates, and the initialization scheduling feasible region identification table is generated.

[0007] As a further scheme of the present application, the specific steps of S2 are: S201: Call the tower site set in the initialization scheduling feasible region identification table, extract the unloading point number corresponding to the tower site, detect the number of existing unloading points in the real-time region, and obtain the corresponding unloading record data, extract the time information of the last time the tower material is unloaded at the unloading point, and generate the unloading point completion time data set; S202: According to the unloading time record in the unloading point completion time data set, the starting time of the scheduling period is obtained, the unloading time offset correction value is calculated according to the time interval between the unloading time of the unloading point and the starting time of the scheduling period, the mapping relationship between the unloading point number and the unloading time offset correction value is constructed, and the unloading time interval value set is obtained. S203: Based on the unloading time interval value set, the unloading point number is sorted from large to small, and the sorting position is marked as the label number of the unloading point task priority, and the unloading point task priority label set is generated.

[0008] As a further scheme of the present application, the unloading time offset correction value is the offset degree of the unloading completion time of the unloading point to the scheduling starting time.

[0009] As a further scheme of the present application, the specific steps of S3 are: S301: Call the unloading point number in the unloading point task priority label set, obtain the associated path segment number corresponding to the unloading point, extract the closed start and end time information of the path segment number in the construction plan, and obtain the planned transportation start and end time period, and judge the path segment closed time and transportation time one by one. Filter the path segment numbers with overlapping time periods, generate the transportation path time conflict number set; S302: According to the path segment number in the transportation path time conflict number set, determine the position in the transportation path, judge whether it is located at the starting point or the terminal point of the task scheduling path, record the path segment number and the corresponding key position mark which have conflict and limited position, and generate the path segment construction influence early warning list.

[0010] As a further scheme of the present application, the specific steps of S4 are: S401: Call the task blocking path segment number in the path segment construction impact early warning list, extract the tower material configuration record in the task corresponding to each path segment, calculate the tower material configuration difference index value, identify the transportation loading structure type used, record the correspondence between structure type and path number, and generate a transportation structure type mapping dataset. S402: Based on the structure type information in the transportation structure type mapping dataset, extract the passage parameters of the structure type in the area outside the blocked path segment, combine the unloading point number in the unloading point task priority label set, extract the available space value and unloading point coordinates in the unloading point operation site, filter and match the passable structure type with the corresponding unloading point with the available space conditions, and obtain the feasible transportation structure and unloading point matching table. S403: Based on the combination of structure type and unloading point coordinates in the feasible transportation structure and unloading point pairing table, adjust the transportation structure type used by the task in the path segment, re-specify the unloading point number corresponding to the structure, update the structure configuration and node binding relationship in the tower material transportation path, and generate the tower material transportation structure and node scheduling result.

[0011] As a further aspect of the present invention, the method further includes step S5: S5: Using the loading task order in the tower material transportation structure and node scheduling results, extract the path segment number to which the task belongs, record the task distribution of the intersecting path segments within the scheduling cycle, locate whether the task has overlapping path intersection nodes, and sort the task execution departure order by comparing the path segment number with the task overlap trend during the intersection time period to generate the tower transportation task scheduling order table. The tower transportation task scheduling sequence table includes task number, path intersection node number, task overlap trend level, and task departure order label.

[0012] As a further aspect of the present invention, the specific steps of S5 are as follows: S501: Call the loading task sequence recorded in the tower material transportation structure and node scheduling results, extract the path segment number to which the task belongs, identify the intersection relationship of the path segment numbers within the scheduling cycle, record the task distribution information in the intersection path segments, and make a spatial overlap judgment on the intersection nodes, filter the task combinations with overlapping path intersection nodes, and generate a path intersection task overlap set. S502: Based on the task combination in the overlapping set of the path intersection tasks, extract the intersection time period information of the corresponding path segment number within the scheduling cycle, and determine the degree of resource occupation conflict between tasks at the intersection node by comparing the overlapping distribution trend of task numbers within the time period. Then, sort the task numbers in the departure order according to the degree of conflict to generate the tower transportation task scheduling order table.

[0013] A smart scheduling system for the construction of transmission towers in power transmission and transformation projects, comprising: The path structure identification module acquires topographic mapping data of the connecting paths between towers, calculates the slope change rate and passage restriction width threshold of each path segment, identifies the matching relationship between path segment number and structural index number, and obtains an initial scheduling feasible area identification table. The unloading priority sorting module calls the unloading point number that already exists in the initial scheduling feasible area identifier table, records the time value of the last completion of tower material unloading and the start time value of the scheduling cycle, calculates the time span value of the number and sorts it in ascending order according to the time span value to obtain the unloading point task priority tag set. The route construction early warning module calls the route segment number associated with the unloading point in the task priority tag set of the unloading point, obtains the start and end time information of the route segment construction plan and compares it with the transportation time period, determines whether the route segment number conflicts with the time period, filters out the route segment number with conflict, and obtains the route segment construction impact early warning list. Based on the path segment number in the path segment construction impact early warning list, the structural node allocation module extracts the transportation and loading structure type configured by the number, performs gridded spatial mapping on the unloading point map, and obtains the tower material transportation structure and node scheduling results. The sequence adjustment module calls the loading task order and path segment number information in the tower material transportation structure and node scheduling results, marks the intersection point of the path segment numbers with duplicate numbers, and obtains the tower transportation task scheduling sequence table.

[0014] Compared with the prior art, the advantages and positive effects of the present invention are as follows: In this invention, by extracting data on path slope and passage width in construction scheduling scenarios involving multiple routes, terrain, and overlapping tasks, the basic passage routes can be clearly defined and the construction scope of tower sites can be limited. By sorting the unloading point time information and the time span of the scheduling cycle, task priority tags are constructed to achieve dynamic identification of task urgency. The precise alignment judgment mechanism between the path construction plan and the transportation time period can promptly capture the risk of time period conflicts in the transportation path. By superimposing the structured matching of task transportation structure type and available site space, spatial coordination of node scheduling is completed. The departure order is optimized by combining the distribution trend and time overlap of tasks in intersecting path segments. This achieves efficient collaboration in dynamic adaptation and rhythm control of transportation scheduling under conditions of high concurrency of construction resources and overlapping task paths. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of the steps of the present invention; Figure 2 This is a detailed schematic diagram of S1 of the present invention; Figure 3 This is a detailed schematic diagram of S2 of the present invention; Figure 4 This is a detailed schematic diagram of S3 of the present invention; Figure 5 This is a detailed schematic diagram of S4 of the present invention; Figure 6 This is a detailed schematic diagram of S5 of the present invention; Figure 7 This is a system module diagram of the present invention. Detailed Implementation

[0017] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0018] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0019] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, they convey the same meaning.

[0020] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0021] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0022] Please seeFigure 1 This invention provides an intelligent scheduling method for the construction of transmission towers in power transmission and transformation projects, comprising the following steps: S1: Obtain topographic mapping data of the connection path between towers, extract the slope change and passage width of the path segment, identify the corresponding structure of the path number and structural indicators, set the path number with passage restriction in the path as the basic passage path, locate the tower location range under the condition that the passage conditions can be met, and generate an initial scheduling feasible area identification table. S2: Using the existing unloading point numbers in the tower location set of the initialization feasible area identifier table, record the time when the unloading point last completed the unloading of tower materials, and record the start time of the corresponding scheduling cycle. Sort the unloading point set by time span and generate a set of unloading point task priority tags. S3: Based on the task priority tags of unloading points, the associated path segment numbers of unloading points are collected, the start and end information of the path segment construction plan is extracted, and the alignment is determined one by one with the transportation time period. The path segment numbers with time period conflicts on the real-time transportation path are identified, and it is determined whether they affect the start or end point of the task scheduling. A path segment construction impact warning list is generated. S4: By extracting the task blocking path segment number listed in the path segment construction impact warning list, extract the transportation and loading structure type configured for the tower material in the corresponding task, and combine the available space information of the unloading point operation site to adjust the correspondence between the structure with passage capability and the unloading point location, and generate the tower material transportation structure and node scheduling results. S5: Using the loading task sequence in the tower material transportation structure and node scheduling results, extract the path segment number to which the task belongs, record the task distribution of the intersecting path segments within the scheduling cycle, locate whether the task has overlapping path intersection nodes, and sort the task execution departure order by comparing the path segment number with the task overlap trend during the intersection time period to generate the tower transportation task scheduling sequence table. The initial scheduling feasible area identification table includes tower location number, basic access path number, geographical area range that meets access conditions, and path structure index type. The unloading point task priority label set includes unloading point number, unloading completion time label, scheduling cycle start time label, and time span priority level. The path segment construction impact warning list includes path segment number with time period conflict, scheduling start and end point affected identifiers, and path segment construction time period label. The tower material transportation structure and node scheduling results include tower material transportation structure type, unloading point matching relationship, and node access capacity adjustment label. The tower transportation task scheduling sequence table includes task number, path intersection node number, task overlap trend level, and task departure order label.

[0023] Please see Figure 2 The specific steps of S1 are as follows: S101: Obtain topographic mapping data of the connecting path between towers, detect the coordinates of continuous elevation points and corresponding spacing data of the path segment, calculate the longitudinal slope value of the path segment based on the elevation difference and horizontal distance between adjacent coordinate points, filter the numbering information of the path segments that do not exceed the limit, and generate a path slope passage number set. High-precision topographic surveying tools, such as RTK-GNSS equipment or lidar equipment mounted on drones, are used to perform gridded scanning of specific path segments. The latitude and longitude coordinates and altitude information of each grid point are recorded to construct a path elevation point cloud model. When acquiring the coordinates of continuous altitude points and their corresponding spacing data for the path segment, equally spaced point pairs are extracted from the measurement path at 1-meter intervals, and the spatial coordinate differences are recorded. , and elevation difference Calculate the horizontal distance between any two adjacent points. This yields a dataset of elevation differences and horizontal distances for each path segment; the longitudinal slope of the path segment is calculated using the slope formula. ,in, This represents the slope as a percentage. For elevation difference, The horizontal distance, such as a point pair =2m, D=40m, then S=(2 / 40)×100%=5%; Repeatedly calculate the slope value of point pairs throughout the entire path segment to obtain a complete slope sequence; Filter the slope value sequence of the path segment, set the allowable slope threshold such as 8%, and filter out the path segments with a slope value not exceeding 8% to form a set of passable path numbers; If the slope of all point pairs in path number A1 is less than 8%, then A1 is a valid number, forming a set of passable path slope numbers.

[0024] S102: Call the path number in the path slope access number set, extract the access width value and path structure number parameter of the corresponding path segment, classify according to whether the access width value is less than the tower access width benchmark value, set the path number with the width value less than the benchmark value as the access basic path number, identify the one-to-one correspondence between the access basic path number and the structure number, and obtain the structure access number reference value. When calling path numbers such as A1, A2, and A5, the actual passage width value associated with each path number needs to be extracted from the database. For example, the passage width of path A1 is 3.2 meters, A2 is 2.7 meters, and A5 is 3.5 meters. The corresponding structure numbers such as S01, S02, and S03 are also extracted. If the tower passage width baseline is set to 3.0 meters, then this baseline is used for classification and comparison. Path numbers with a passage width less than 3.0 meters are considered as basic passage path numbers. Path A2's passage width is set to 2.7 meters, which is less than the baseline value of 3.0 meters, therefore it is set as a basic passage path number. A one-to-one mapping relationship between path numbers and structure numbers is established, setting A2-S02. This process requires item-by-item comparison in the database or structured data table, which can be achieved through SQL conditional filtering statements, such as SELECT path number, structure number FROM path table WHERE passage width < 3.0, to obtain the structure passage number comparison value.

[0025] S103: Based on the structure number corresponding to the path number in the structure access number comparison value, extract the tower center coordinate value and the basic tower type parameter value corresponding to the structure number, filter the tower center coordinates whose basic tower type width value is less than the path access width benchmark value, extract the point pair combination whose center spacing between towers meets the path layout requirements from the filtered coordinates, and generate the initial scheduling feasible area identification table. Based on the structure numbers corresponding to the path numbers, such as S02, S06, and S08, extract the center coordinates of the tower locations corresponding to the structure numbers (e.g., coordinates of S02 are [112.23456, 27.12345]) and the basic tower type parameter values ​​(e.g., tower type width of 2.8 meters). Filter the structure numbers, removing those with a basic tower type width greater than the baseline path width. If the baseline width is 3.0 meters, then a tower type width of 2.8 meters is acceptable. Calculate the spacing between the selected tower location center coordinates using a pairwise combination formula. If the path layout requires a spacing greater than 20 meters and less than 80 meters, then only the point pairs that meet this condition are retained. Setting the spacing between tower positions S02 and S06 to 55 meters meets the requirements. The point pairs that meet the conditions, such as (S02, S06) and (S06, S08), are numbered and summarized to generate an initial scheduling feasible area identification table.

[0026] Please see Figure 3 The specific steps of S2 are as follows: S201: Call the set of tower positions in the initialization feasible area identifier table, extract the unloading point number corresponding to the tower position, detect the number of the unloading point that already exists in the real-time area, obtain the corresponding unloading record data, extract the time information of the last time the unloading point completed the unloading of tower materials, and generate the unloading point completion time dataset. The unloading point number associated with each tower position is extracted one by one. The path structure and tower position association table is called in the scheduling database. The corresponding unloading point numbers, such as U01, U02, and U03, are obtained through the tower position numbers, such as T01, T02, and T03, and an initial unloading point list is generated. The distribution of unloading points in the current area is detected by the real-time scheduling equipment. Data uploaded by field sensor equipment or real-time point registration information in the scheduling equipment is called to obtain the set of unloading point numbers that exist in the current running state, such as {U01, U03}. This set is cross-filtered with the initial unloading point list, and only the numbers that appear in both are retained as valid unloading point numbers. For each unloading point number that is filtered, its historical operation record data table is queried to locate the "last unloading time" field. The equipment record is set to complete an unloading operation on August 10, 2025 at 12:30 and U03 at 14:45 on the same day. The time format is unified by converting the timestamp, and the result data is written into the unloading point completion time dataset.

[0027] S202: Based on the unloading time records in the unloading point completion time dataset, obtain the start time of the scheduling cycle. Based on the time interval between the unloading time of the unloading point and the start time of the scheduling cycle, calculate the unloading time offset correction value, construct the mapping relationship between the unloading point number and the unloading time offset correction value, and obtain the set of unloading time interval values. The unloading time offset correction value is calculated using the following formula: ; in, Representative number is The unloading time offset correction value at the unloading point. This represents the unloading time at unloading point numbered i. This represents the start time of the scheduling cycle. This represents the unloading priority weight of unloading point j. Representative number is The unloading time at the unloading point Represents the total number of unloading points. This represents the average difference between the unloading time at the unloading point and the start time of the scheduling cycle; Formula calculation logic: Find the difference, used to represent the first... The original time offset of each unloading point from the scheduling start point to the current unloading completion point is introduced in parentheses with a plus sign, and this term is based on... As weights, the relative offset of each point is reflected by multiplication, and the result is obtained by summing and dividing by the number of unloading points. The adjustment correction amount is calculated. This correction item is used to reflect the weighted average of the offset of all unloading points. It is then nested with an absolute value sign to correct the outlier of the unloading time difference. The three items are combined and then wrapped with an absolute value sign to ensure that the offset correction value is positive. The unloading time offset correction value measures the overall offset of the actual unloading time of each unloading point relative to the scheduling start time. This value not only considers the time difference of a single point, but also takes into account the overall time distribution of unloading points and the influence of scheduling priority weights. It is used to dynamically adjust the scheduling strategy and optimize the unloading sequence and task time window configuration. The calculation process for each participating parameter is as follows: : No. The actual unloading time at each unloading point is automatically collected through log records, in minutes. The start time of the scheduling cycle is the time of the first unloading scheduling order issued by the task scheduling system on that day, which is uniformly set to 08:00. minute; : No. The actual unloading time of each unloading point is obtained through the timestamp uploaded by the node in the scheduling record; The total number of unloading points within the current scheduling period, which is set to [number] in this embodiment. ; The average deviation of unloading time at the unloading point is calculated as follows: ; : No. The unloading priority weight of each unloading point is obtained by jointly scoring its unloading volume and unloading time stability, using a weighted normalization scoring method: ; in, Indicates unloading point Time stability score (based on the variance of the most recent five days, back normalized). This represents the unloading volume (kg / min) at the unloading point per unit time, which satisfies the following after weight normalization: ; Table 1 lists the unloading time, unit unloading volume, time stability score, and calculated weight values ​​for the four unloading points, which are used for formula calculation. Parameter calculation process and formula substitution example: Calculate the average offset: ; Calculate the weighted correction term: ; Calculate the square root correction term: ; The overall formula calculation (taking unloading point number 2 as an example) ): ; The results show that the unloading time offset correction value of unloading point number 2 relative to the start of the scheduling cycle is 56.755 minutes. In constructing the mapping relationship between unloading point number and unloading time interval value, this value will serve as the core feature value of unloading point 2 and participate in the input benchmark parameter for subsequent unloading priority reordering and dynamic adjustment of task window. The advantage of the formula is that by introducing a weighted unloading time offset term and a square root correction term for the deviation value, the offset value not only reflects the time delay at a single point, but also integrates the overall unloading time distribution characteristics and key point scheduling sensitivity indicators. This helps to improve the scheduling's response sensitivity to sudden unloading offsets and strengthen the ability to correct anomalies.

[0028] S203: Based on the set of unloading time interval values, sort the unloading point numbers from largest to smallest, mark the sorting position as the label number of the unloading point task priority, and generate the unloading point task priority label set; The equipment sorts each unloading point according to its time interval value from largest to smallest. The longer the time interval, the longer the waiting time, and the higher the priority for scheduling tasks. Therefore, the equipment places the unloading point number corresponding to the maximum value first, such as {U01:19.5, U03:17.25}, and the sorted order is [U01, U03]. The equipment assigns task priority tags to the sorted unloading points sequentially, numbering them sequentially from P1, i.e., U01 is marked as P1, U03 is marked as P2, forming {U01:P1, U03:P2}. This will serve as the core basis for the subsequent task scheduling priority queue and can be dynamically adjusted according to the real-time status update of the unloading points. When a new or updated unloading completion time record is added, the equipment will recalculate the time interval value and trigger the sorting update mechanism to ensure that the tag number is always consistent with the actual waiting status, supporting the establishment of a stable and reliable tower material transportation and on-site operation collaboration mechanism, and generating a set of unloading point task priority tags.

[0029] Please see Figure 4 The specific steps of S3 are as follows: S301: Call the unloading point number in the unloading point task priority tag set, obtain the associated path segment number corresponding to the unloading point, extract the closure start and end time information of the path segment number in the construction plan, obtain the proposed transportation start and end time period, match the path segment closure time with the transportation time one by one, filter the path segment numbers where the time periods overlap, and generate a transportation path time conflict number set. The system retrieves the unloading point numbers from the unloading point task priority tag set, such as {U01:P1, U03:P2}. The equipment sequentially reads the unloading points corresponding to numbers U01 and U03, locates their corresponding transportation route segment numbers in the database, and sets the route segment numbers corresponding to U01 as L12 and L13, and U03 as L20 and L21, thus forming a preliminary route segment list. The equipment then enters the construction plan management module, retrieves the route segment construction plan information, and extracts the closure start and end time information registered in the construction task for each route segment number. For example, the closure time for L12 is from 10:00 AM to 4:00 PM on August 11, 2025. L20 is from 07:00 to 18:00 on August 11th, etc.; read the planned start and end time periods of transportation from the transportation task scheduling equipment. For example, if the transportation task is planned from 08:00 to 14:00 on August 11th, compare each set of closing times of the route segment with the transportation time period one by one. Filter conflicting route segments by judging whether the closing time period overlaps with the transportation time period. If the start and end times of the closing time period overlap with the transportation time period in any time range, it is considered to be in conflict. For example, if the closing time of L12 covers the interval of 11:00-14:00 within the transportation time period, it is considered to be a time conflict. After filtering, a set of transportation route time conflict numbers is generated.

[0030] S302: Based on the path segment number in the transportation route time conflict number set, determine the position in the transportation route, determine whether it is located at the starting point or ending point of the task scheduling route, record the path segment number that has a conflict and is restricted in position and the corresponding key location mark, and generate a path segment construction impact early warning list. The path segment numbers in the time conflict number set of the transportation route are judged one by one, such as L12 and L20, to confirm their position in the transportation route. The equipment calls the transportation route diagram structure to analyze whether the conflicting path segment is located at the beginning or end of the entire route. Taking the path segment list {L11, L12, L13, L14} as an example of the transportation route structure, if L12 is the second segment, it is neither the beginning nor the end. However, if the path segment list is {L20, L21, L22} and L20 is the first path segment, then it belongs to the starting point of the transportation route, and the equipment needs to mark it. The path segment is designated as the "initial conflict" location. This method is used to structurally determine each conflicting path segment and record its relative position in the path sequence, along with key location labels such as "starting point," "ending point," or "middle section." Path segments that are both in conflict and at key locations are recorded with special attention, including path segment numbers L20 and L25 and their key location labels "starting point" and "ending point." This serves to prompt dispatchers to prioritize avoidance and rescheduling in subsequent task allocation and path avoidance, creating a path segment construction impact early warning list.

[0031] Please see Figure 5 The specific steps of S4 are as follows: S401: Call the task blocking path segment number in the path segment construction impact early warning list, extract the tower material configuration record in the corresponding task of each path segment, calculate the tower material configuration difference index value, identify the transportation loading structure type used, record the correspondence between structure type and path number, and generate a transportation structure type mapping dataset. The tower material configuration difference index value is calculated using the following formula: ; in, Representing the The path segment corresponds to the tower material configuration difference index value in the task. Representing the The first path segment The quantity of tower materials required. Representing the The average number of tower materials configured in each path segment. Representing the The first path segment The length of a single piece of tower material, Representing the The first path segment The configuration ratio of tower materials, This indicates the total number of different types of tower materials configured in each path segment. For path segment index variables, This is an index variable for tower material configuration items within the path segment; The formula calculation logic is as follows: The numerator is calculated by taking the absolute value of the deviation between the quantity of each type of tower material and the average quantity of that path segment, and multiplying it by the single length of the corresponding tower material to achieve a weighted aggregation of the impact of configuration imbalance and structural length. The denominator is calculated by adding 1 to the configuration ratio of each type of tower material, summing the squares, and taking the square root to normalize and adjust the calculation results of the numerator, so that the differences in the ratio of different types of tower materials can also be reflected in the overall index. The entire formula structure takes into account both the quantity deviation and the structural dimension through compound operations such as absolute value, multiplication, square, square root, and summation, thus forming a numerical expression of the configuration structure within the path segment. The tower material configuration difference index is used to measure the degree of balance in the distribution of various types of tower materials within a route segment. The higher the index, the greater the difference in the number of different types of tower materials and the more unbalanced the structural configuration. This value can be used to determine whether there are significant structural differences in a route segment and whether the transportation structure needs to be adjusted. Parameter meaning: : No. The first path segment The configuration quantity of tower materials is collected and counted by the BOM list of each tower location in the tower material layout drawing, and identified and counted according to tower type and segment. : for the first The average number of configurations in each path segment, through calculate; : No. The first path segment The length of a single tower-like material is directly collected using a 3D scanning measurement device, with a minimum of 5 samples taken, and the average length is taken. : indicates the first The first path segment The proportion of tower-like materials in the configuration is determined by calculation. It can be concluded that; : The total number of types of tower materials configured in the path segment; Path segment number index Tower material type index, used for cross-variable index summation; Description of parameter acquisition and quantization methods: Path segment numbering: Select a mountainous section (numbered as follows) Monitoring will be conducted. Total number of tower material types: identified as Types (angle steel, round steel, general connecting plates, special connecting components); Configuration quantity Calculated based on the statistical tower location BOM table, as follows: Angle steel (b=1): 180 pieces; Round steel (b=2): 150 pieces; General connecting plate (b=3): 90 pieces; Special connecting component (b=4): 60 pieces; Single piece length Using laser ranging and scanning statistics, the following results were obtained: Angle steel: 3.0m, round steel: 2.5m, general connecting plate: 0.6m, special components: 0.9m; Configuration ratio : Total amount They are respectively: Angle steel: Round steel: Universal connection plate: Special components: ; Average quantity ; Table 2 lists the quantity, length, and proportion distribution data of typical tower material types in a certain path segment, which serves as the basis for calculating the difference index; Molecular calculations: ; Denominator calculation: ; Substitute into the formula to calculate: ; The results show that the tower material configuration difference index value is 130.45. If the critical index value of configuration difference in the reference sample is in the range of 80-150, then this value indicates that there is an obvious unbalanced feature in the tower material configuration structure of path segment 1, and it is necessary to check whether the transportation loading structure type is suitable for the degree of difference. The advantage of the formula lies in introducing the proportion of tower materials. The square adjustment term avoids misleading differences by directly comparing absolute quantities. It realizes length-weighted identification and proportional normalization control of structural differences in the overall path segment comparison. It can be used to identify the adaptability of transportation structure types and serve as one of the criteria for judging loading mode switching.

[0032] S402: Based on the structure type information in the transportation structure type mapping dataset, extract the passage parameters of the structure type in the area outside the blocked path segment. Combine the unloading point number in the unloading point task priority label set, extract the available space value and unloading point coordinates in the unloading point operation site, filter and match the passable structure types with the corresponding unloading points with the available space conditions, and obtain the feasible transportation structure and unloading point matching table. Based on structural type information, such as "low-bed trailer" and "frame platform vehicle," the equipment retrieves the passage parameters for each type of structure from the structural parameter library, including turning radius, wheelbase, maximum passage width, and required minimum clearance. Based on this, it filters out structural types that can still pass through areas outside of blocked routes. "Low-bed trailers" are marked as impassable if their clearance is insufficient in some alternative routes, while "frame platform vehicles" are listed as optional structures as they can be used in most areas. This is combined with the unloading point number from the unloading point task priority tag set. For example, U01 and U03, the equipment reads the reserved space information and ground size layout in its working site, extracts the site size of each point through the unloading point working space record table, such as U01 with a width of 3.5 meters and a length of 10 meters, compares the required space parameters of the structure type to filter and select unloading points that can accommodate the corresponding structure; then, combined with the geographical coordinates of the unloading point, such as [113.56, 28.32] for U01, the structure type is matched with the unloading point that meets the space conditions one by one to form a feasible transportation structure and unloading point matching table.

[0033] S403: Based on the combination of structure type and unloading point coordinates in the feasible transportation structure and unloading point pairing table, adjust the transportation structure type used by the task in the path segment, re-specify the unloading point number corresponding to the structure, update the structure configuration and node binding relationship in the tower material transportation path, and generate the tower material transportation structure and node scheduling results. Based on the structure type and unloading point coordinates, the transportation structure used in the original transportation task route segment is reconfigured. The original task route segment L20 was set to use a low flatbed trailer, but it was judged to be impassable due to a route conflict. The equipment was adjusted to a frame platform vehicle according to the pairing table and matched to the corresponding unloading point U01 in the pairing table. The equipment writes the new structure type and unloading point number into the task configuration file and updates the binding relationship between nodes and transportation structures in the path structure table. The original binding structure of node L20 is replaced with the new structure type, and the endpoint unloading point number is updated to U01. This includes the structure type adjustment scheme, unloading point update items, path task number change records, etc., and generates a structure and node binding relationship table for scheduling and executing equipment calls. It supports the automatic scheduling and repair of obstructed paths in the task flow, forming the tower material transportation structure and node scheduling results.

[0034] Please see Figure 6 The specific steps of S5 are as follows: S501: Call the loading task sequence recorded in the tower material transportation structure and node scheduling results, extract the path segment number to which the task belongs, identify the intersection relationship of the path segment numbers within the scheduling cycle, record the task distribution information in the intersection path segments, and make a spatial overlap judgment on the intersection nodes, filter the task combinations with overlapping path intersection nodes, and generate the path intersection task overlap set. The equipment extracts the path segment number information of the corresponding task based on the scheduling priority number of each task. For example, tasks T001 and T002 correspond to path segments L15, L18, and L20, respectively, forming a complete set of task path segment distributions within the scheduling cycle. The equipment identifies the intersection relationship of the task path segment numbers. By analyzing the spatial coordinate layout data of the path segment numbers, it uses the node coordinate overlap calculation to determine whether an intersection relationship exists. If any two path segments have the same or similar coordinate nodes at their start and end points, they are determined to be path intersection segments. For example, L15 and L18 are set to exist at coordinate points [113.45, 28.76]. If there is spatial overlap, the point is recorded as an intersection node. The equipment analyzes whether there are multiple tasks covering the intersection path segment, that is, whether two or more tasks pass through the node at the same time. If so, the task numbers are extracted to form a task combination, such as T001 and T003 passing through intersection node N12 together. For each task combination at the intersection node, a spatial overlap judgment is performed, that is, the structural outer contour dimensions, turning requirements and working width of each task at the node are compared to see if they overlap or have a space conflict. If the overlap exceeds a certain spatial threshold, such as 80%, it is regarded as a path intersection task overlap combination and added to the path intersection task overlap set.

[0035] S502: Based on the task combination in the overlapping set of path intersection tasks, extract the intersection time period information of the corresponding path segment number within the scheduling cycle. By comparing the overlapping distribution trend of task numbers within the time period, determine the degree of resource occupation conflict between tasks at the intersection node, and sort the task numbers in the departure order according to the degree of conflict to generate the tower transportation task scheduling order table. The device performs time conflict analysis on each task combination within the set during the scheduling cycle, extracting the scheduling time information of the path segment number corresponding to each task in the combination. For example, if the time period for task T001 on L15 is 08:00–10:00 on August 12th, and the scheduling time for T003 on the same node is 08:30–09:30, the device compares whether the two time periods overlap. If there is an overlapping time period of 08:30–09:30, it is recorded as the intersection time period. The device then performs trend comparison on the distribution of multiple task numbers within the intersection time period and calculates the time overlap ratio. For example, if T001 and T003 have a 1 / 2 time overlap ratio during this period, the device calculates the time overlap ratio. 00% overlap rate; assess the degree of resource occupation conflict at the intersection node, and calculate the conflict level based on the transportation structure volume, turning requirements and equipment occupation time of each task. If two tasks need to pass at the same time and each requires 5 minutes of occupation time, while the maximum passage capacity of the node is 1 time / 10 minutes, it is judged as a serious conflict; the equipment sorts the task numbers according to the degree of conflict, and gives priority to the task with shorter occupation time or smaller structural size. For example, T003 takes priority over T001, so the task departure order is [T003, T001]; summarize the sorting results in the task number scheduling table to generate the tower transportation task scheduling order table.

[0036] Please see Figure 7 A smart scheduling system for the construction of transmission towers in power transmission and transformation projects, comprising: The path structure identification module acquires topographic mapping data of the connecting paths between towers, calculates the slope change rate and passage restriction width threshold of each path segment, identifies the matching relationship between path segment number and structural index number, and obtains an initial scheduling feasible area identification table. The unloading priority sorting module calls the existing unloading point number in the initialization scheduling feasible area identifier table, records the time value of the last completion of tower material unloading and the start time value of the scheduling cycle, calculates the time span value of the number and sorts it in ascending order according to the time span value to obtain the unloading point task priority tag set. The route construction early warning module calls the route segment number associated with the unloading point in the task priority tag set of the unloading point, obtains the start and end time information of the route segment construction plan and compares it with the transportation time period, determines whether the route segment number conflicts with the time period, filters out the route segment number with conflict, and obtains the route segment construction impact early warning list. The structural node allocation module extracts the transportation and loading structure type configured by the path segment number in the path segment construction impact early warning list, performs gridded spatial mapping on the unloading point site map, and obtains the tower material transportation structure and node scheduling results. The sequence adjustment module calls the loading task sequence and path segment number information in the tower material transportation structure and node scheduling results, marks the intersection point for duplicate path segment numbers, and obtains the tower transportation task scheduling sequence table.

[0037] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for intelligent scheduling of tower construction in power transmission and transformation projects, characterized in that, Includes the following steps: S1: Obtain topographic mapping data of the connecting path between towers, extract the slope change and passage width of the path segment, identify the corresponding structure of the path number and structural indicators, set the path number with passage restriction in the path as the basic passage path, and generate an initial scheduling feasible area identification table. S2: Using the unloading point numbers that already exist in the tower location set in the initial scheduling feasible area identifier table, record the time when the unloading point last completed the unloading of tower materials, sort the unloading point set by time span, and generate a set of unloading point task priority tags; S3: Based on the associated path segment number of the unloading point in the task priority tag set of the unloading point, extract the closed start and end information in the path segment construction plan, make a one-to-one match with the transportation time period, identify the path segment number with time period conflict on the real-time transportation path, and generate a path segment construction impact warning list. S4: By using the task blocking path segment number listed in the path segment construction impact early warning list, extract the transportation and loading structure type configured for the tower material in the corresponding task, adjust the correspondence between the structure with passage capability and the unloading point, and generate the tower material transportation structure and node scheduling result.

2. The intelligent scheduling method for tower construction in power transmission and transformation projects according to claim 1, characterized in that, The initial scheduling feasible area identification table includes tower location number, basic access path number, geographical area range that can meet access conditions, and path structure index type. The unloading point task priority tag set includes unloading point number, unloading completion time tag, scheduling cycle start time tag, and time span priority level. The path segment construction impact early warning list includes path segment number with time period conflict, scheduling start and end point affected identifiers, and path segment construction time period tag. The tower material transportation structure and node scheduling results include tower material transportation structure type, unloading point matching relationship, and node access capacity adjustment tag.

3. The intelligent scheduling method for tower construction in power transmission and transformation projects according to claim 1, characterized in that, The specific steps of S1 are as follows: S101: Obtain topographic mapping data of the connecting path between towers, detect the coordinates of continuous elevation points and corresponding spacing data of the path segment, calculate the longitudinal slope value of the path segment based on the elevation difference and horizontal distance between adjacent coordinate points, filter the numbering information of the path segments that do not exceed the limit, and generate a path slope passage number set. S102: Call the path number in the path slope passage number set, extract the passage width value and path structure number parameter of the corresponding path segment, classify according to whether the passage width value is less than the tower passage width benchmark value, set the path number with the width value less than the benchmark value as the basic passage path number, identify the one-to-one correspondence between the basic passage path number and the structure number, and obtain the structure passage number reference value. S103: Based on the structure number corresponding to the path number in the structure access number comparison value, extract the tower center coordinate value and the basic tower type parameter value corresponding to the structure number, filter the tower center coordinates whose basic tower type width value is less than the path access width benchmark value, extract the point pair combination whose center spacing between towers meets the path layout requirements from the filtered coordinates, and generate the initial scheduling feasible area identification table.

4. The intelligent scheduling method for tower construction in power transmission and transformation projects according to claim 3, characterized in that, The specific steps of S2 are as follows: S201: Call the set of tower positions in the initial scheduling feasible area identifier table, extract the unloading point number corresponding to the tower position, detect the number of the unloading point that already exists in the real-time area, obtain the corresponding unloading record data, extract the time information of the unloading point last completed the unloading of tower materials, and generate the unloading point completion time dataset. S202: Based on the unloading time records in the unloading point completion time dataset, obtain the start time of the scheduling cycle; based on the time interval between the unloading time of the unloading point and the start time of the scheduling cycle, calculate the unloading time offset correction value; construct the mapping relationship between the unloading point number and the unloading time offset correction value; and obtain a set of unloading time interval values. S203: Based on the set of unloading time interval values, sort the unloading point numbers from largest to smallest, mark the sorting position as the tag number of the unloading point task priority, and generate the unloading point task priority tag set.

5. The intelligent scheduling method for tower construction in power transmission and transformation projects according to claim 4, characterized in that, The unloading time offset correction value is the degree of deviation of the unloading point completion time from the scheduling start time.

6. The intelligent scheduling method for tower construction in power transmission and transformation projects according to claim 4, characterized in that, The specific steps for S3 are as follows: S301: Call the unloading point number in the unloading point task priority tag set, obtain the associated path segment number corresponding to the unloading point, extract the closure start and end time information of the path segment number in the construction plan, obtain the proposed transportation start and end time period, match the path segment closure time with the transportation time one by one, filter the path segment numbers where the time periods overlap, and generate a transportation path time conflict number set. S302: Based on the path segment number in the set of time conflict numbers of the transportation path, determine the position in the transportation path, determine whether it is located at the starting point or ending point of the task scheduling path, record the path segment number that has conflicted and is restricted in position and the corresponding key position mark, and generate a list of early warnings of construction impact on path segments.

7. The intelligent scheduling method for tower construction in power transmission and transformation projects according to claim 6, characterized in that, The specific steps of S4 are as follows: S401: Call the task blocking path segment number in the path segment construction impact early warning list, extract the tower material configuration record in the task corresponding to each path segment, calculate the tower material configuration difference index value, identify the transportation loading structure type used, record the correspondence between structure type and path number, and generate a transportation structure type mapping dataset. S402: Based on the structure type information in the transportation structure type mapping dataset, extract the passage parameters of the structure type in the area outside the blocked path segment, combine the unloading point number in the unloading point task priority label set, extract the available space value and unloading point coordinates in the unloading point operation site, filter and match the passable structure type with the corresponding unloading point with the available space conditions, and obtain the feasible transportation structure and unloading point matching table. S403: Based on the combination of structure type and unloading point coordinates in the feasible transportation structure and unloading point pairing table, adjust the transportation structure type used by the task in the path segment, re-specify the unloading point number corresponding to the structure, update the structure configuration and node binding relationship in the tower material transportation path, and generate the tower material transportation structure and node scheduling result.

8. The intelligent scheduling method for tower construction in power transmission and transformation projects according to claim 1, characterized in that, The method further includes step S5: S5: Using the loading task order in the tower material transportation structure and node scheduling results, extract the path segment number to which the task belongs, record the task distribution of the intersecting path segments within the scheduling cycle, locate whether the task has overlapping path intersection nodes, and sort the task execution departure order by comparing the path segment number with the task overlap trend during the intersection time period to generate the tower transportation task scheduling order table. The tower transportation task scheduling sequence table includes task number, path intersection node number, task overlap trend level, and task departure order label.

9. The intelligent scheduling method for tower construction in power transmission and transformation projects according to claim 8, characterized in that, The specific steps of S5 are as follows: S501: Call the loading task sequence recorded in the tower material transportation structure and node scheduling results, extract the path segment number to which the task belongs, identify the intersection relationship of the path segment numbers within the scheduling cycle, record the task distribution information in the intersection path segments, and make a spatial overlap judgment on the intersection nodes, filter the task combinations with overlapping path intersection nodes, and generate a path intersection task overlap set. S502: Based on the task combination in the overlapping set of the path intersection tasks, extract the intersection time period information of the corresponding path segment number within the scheduling cycle, and determine the degree of resource occupation conflict between tasks at the intersection node by comparing the overlapping distribution trend of task numbers within the time period. Then, sort the task numbers in the departure order according to the degree of conflict to generate the tower transportation task scheduling order table.

10. An intelligent scheduling system for the construction of transmission towers in power transmission and transformation projects, characterized in that, The system is used to implement the intelligent scheduling method for tower construction in power transmission and transformation projects as described in any one of claims 1-9, and the system includes: The path structure identification module acquires topographic mapping data of the connecting paths between towers, calculates the slope change rate and passage restriction width threshold of each path segment, identifies the matching relationship between path segment number and structural index number, and obtains an initial scheduling feasible area identification table. The unloading priority sorting module calls the unloading point number that already exists in the initial scheduling feasible area identifier table, records the time value of the last completion of tower material unloading and the start time value of the scheduling cycle, calculates the time span value of the number and sorts it in ascending order according to the time span value to obtain the unloading point task priority tag set. The route construction early warning module calls the route segment number associated with the unloading point in the task priority tag set of the unloading point, obtains the start and end time information of the route segment construction plan and compares it with the transportation time period, determines whether the route segment number conflicts with the time period, filters out the route segment number with conflict, and obtains the route segment construction impact early warning list. Based on the path segment number in the path segment construction impact early warning list, the structural node allocation module extracts the transportation and loading structure type configured by the number, performs gridded spatial mapping on the unloading point map, and obtains the tower material transportation structure and node scheduling results. The sequence adjustment module calls the loading task order and path segment number information in the tower material transportation structure and node scheduling results, marks the intersection point of the path segment numbers with duplicate numbers, and obtains the tower transportation task scheduling sequence table.

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