Data processing method and system for scenario decision optimization of power stringing construction

Abstract

The application relates to the technical field of electric power engineering construction, and particularly provides a data processing method and system for scene decision optimization of electric power stringing construction, which comprises the following steps: constructing a parameter matrix of multiple scenes, and generating decision tasks of each scene; for the decision tasks, through a data flow and logic association engine, construction result data is calculated according to a set logic calculation chain; the construction result data is displayed through a visual interface, and a working condition input window is provided; the parameter matrix is updated, and updated construction result data is calculated; the updated construction result data is compared with a preset safety rule library, safety verification is carried out, and if the verification fails, a construction scheme is optimized based on the parameter matrix. The electric power stringing construction in the related art needs to be independently calculated by manual operation according to different data sources in different sub-processes, and the technical problems of low calculation efficiency, poor accuracy and insufficient safety exist.

Description

Technical Field

[0001] This invention relates to the field of power engineering construction technology, and in particular to a data processing method and system for scenario decision optimization in power line construction. Background Technology

[0002] Power line construction is one of the most complex and technically demanding aspects of power transmission line construction. Its core lies in a series of interconnected and precise calculations, including but not limited to conductor sag and tension calculations, ground anchor stress analysis, determination of line length, handling of continuous slope spans, and design of grid crossings.

[0003] Currently, calculations for power line construction largely rely on manual labor or multiple independent specialized software programs, a traditional approach with significant drawbacks. First, calculations are siloed, with each stage operating independently, data formats and calculation standards inconsistent, creating information silos and hindering overall optimization. Second, data fragmentation and error accumulation occur, requiring engineers to manually transfer data between tools, easily introducing human error, and errors from earlier stages can be amplified, affecting construction accuracy and even jeopardizing safety. Third, efficiency is low, with repetitive data entry, manual calculations, and result verification being time-consuming, leading to long solution development cycles. Fourth, decision support is lacking; it's difficult to quickly analyze and compare multiple solutions for complex conditions (such as variable weather), and decisions rely heavily on personal experience, lacking quantitative scientific basis. Therefore, there is an urgent need for an integrated collaborative computing solution that integrates the entire process and automatically transfers data to improve the level of intelligent construction and safety assurance capabilities.

[0004] For power line construction in related technologies, manual calculations based on different data sources are required in different sub-processes, which results in low calculation efficiency, poor accuracy, and insufficient safety. No effective solution has been proposed yet. Summary of the Invention

[0005] The data processing method and system for scenario decision optimization in power line construction provided by the present invention at least solves the technical problems in related technologies, such as low calculation efficiency, poor accuracy, and insufficient security, which require manual independent calculation based on different data sources in different sub-processes during power line construction.

[0006] According to one aspect of the present invention, a data processing method for scenario decision optimization in power line construction is provided, comprising: constructing a parameter matrix for multiple scenarios based on basic data of the construction entity and construction environment involved in the power line construction, and generating decision tasks for each scenario; for the decision tasks, calculating construction result data according to a set logical calculation chain through a data flow and logical association engine; wherein the logical calculation chain includes multiple result calculation modules that are calculated sequentially according to a set order, the result calculation modules being used to calculate corresponding construction result data, the construction result data including result parameters and a construction scheme recommended based on the result parameters; displaying the construction result data through a visualization interface, and providing a working condition input window in the visualization interface; updating the parameter matrix based on the extreme construction scenario parameters input in the working condition input window, and calculating the updated construction result data; comparing the updated construction result data with a preset safety rule base for safety verification, and optimizing the construction scheme based on the parameter matrix if the verification fails.

[0007] As an optional solution, for the aforementioned decision-making task, construction result data is calculated according to a set logical calculation chain, including: using the sag tension calculation module, based on the meteorological conditions and conductor parameters of the decision-making task, the spatial shape and mechanical state of the conductor are solved using the catenary equation, outputting sag and tension; using the ground anchor force calculation module in conjunction with the sag tension calculation module, based on the tension, the comprehensive force of the ground anchor is calculated through a three-dimensional mechanical model simulation, and the safety factor is verified to recommend ground anchor models; using the netting crossing calculation module in conjunction with the ground anchor force calculation module, based on the conductor sag and the information of the object being crossed, a dynamic safety distance algorithm is applied to verify the clearance and... The system generates netting design parameters; through a line length calculation module that works in conjunction with the sag tension calculation module, it integrates the sag, elevation difference, and fitting parameters, and uses a piecewise integration and multi-factor compensation algorithm to accurately calculate the actual deployment length of the conductor and ground wire; in the case where there is an elevation difference at the conductor hanging point in the decision-making task, the system uses a continuous slope calculation module to identify the risks of upward movement and falling into the trench caused by uneven tension, and outputs adjustment schemes, taking into account the elevation difference terrain. The result calculation module includes the sag tension calculation module, the ground anchor force calculation module, the line length calculation module, the continuous slope calculation module, and the netting crossing calculation module.

[0008] As an optional approach, based on the extreme construction scenario parameters input through the working condition input window, the parameter matrix is ​​updated, and the updated construction result data is calculated. This includes: modifying the values ​​of the corresponding parameter items in the parameter matrix to the values ​​of the extreme construction scenario parameters to update the parameter matrix; generating new scenario decision tasks based on the updated parameter matrix; re-inputting the logical calculation chain for each decision task to calculate the updated construction result data; and updating the visualization interface based on the updated construction result data.

[0009] As an optional approach, the updated construction result data is compared with a preset safety rule base to perform a construction safety verification. If the verification fails, the construction plan is optimized, including: when the result calculation module in the logical calculation chain calculates the updated construction result data, the safety rule base is invoked and compared with the construction result data to determine whether the construction result data conforms to the relevant safety rules in the safety rule base, wherein the safety rule base includes multiple safety rules, and each safety rule includes at least one piece of construction result data; if the construction result data does not conform to the safety rules, the relevant basic parameters corresponding to the construction result data that does not conform to the safety rules are determined according to the logical calculation chain; based on the adjustment range corresponding to the relevant basic parameters and the calculation relationship between the safety rules and the construction results, updated relevant basic parameters are selected; the parameter matrix is ​​updated according to the updated relevant basic parameters, and the updated construction result data is calculated through the logical calculation chain until the construction result data conforms to the safety rules, thus obtaining the optimized construction plan.

[0010] As an optional approach, after comparing the updated construction result data with a preset safety rule base for safety verification, the method further includes: if the safety verification passes, comparing and evaluating the construction result data of multiple verified construction schemes based on the weight and ranking of each construction result data to select the optimal construction scheme; generating a construction report and a bill of materials based on the optimal construction scheme, wherein the construction report includes the corresponding construction environment and the bill of materials includes the construction entity; carrying out construction based on the optimal construction scheme, and updating the construction result data in real time according to the actual construction scheme, wherein the actual construction scheme includes the construction entity performing the construction and the corresponding real-time construction environment; comparing the updated construction result data with the safety rule base for construction safety verification, and issuing an alarm and optimizing the construction scheme if the verification fails.

[0011] As an optional solution, the method further includes: monitoring the actual construction tools and the real-time construction environment during the construction process in real time, and updating the parameter matrix; calculating according to the logical calculation chain based on the updated parameter matrix to determine the corresponding updated construction result data; performing real-time verification based on the updated construction result data, and issuing an alarm in a set manner if the verification fails.

[0012] As an optional approach, acquiring basic data on the construction entity and construction environment involved in power line construction includes: during the design phase of power line construction, obtaining design data to determine the basic data based on the design scheme, wherein the optimized scheme obtained from the basic data is used to optimize the design scheme; during the on-site verification phase of power line construction, determining the basic data based on the actual construction entity and construction environment, wherein the basic data is used to perform safety verification on the actual construction entity and construction environment.

[0013] According to another aspect of the present invention, a data processing system for scenario decision optimization in power line construction is also provided, comprising: an engineering database for collecting and updating basic data in real time, and constructing a parameter matrix for multiple scenarios based on the basic data of the construction entities and construction environment involved in power line construction, and generating decision tasks for each scenario; a logic calculation module connected to the engineering database for calculating construction result data for the decision tasks through a data flow and logic association engine according to a set logic calculation chain; wherein, the logic calculation chain includes multiple result calculation modules that perform calculations in a set order, the result calculation modules being used to calculate corresponding construction result data, the construction result data including result parameters and a construction scheme recommended based on the result parameters; a visualization module connected to the logic calculation module for visually displaying the construction result data and providing a working condition input window on the visualization interface; the logic calculation module is also used to update the parameter matrix based on the extreme construction scenario parameters input in the working condition input window, and calculate the updated construction result data; and a verification module connected to the logic calculation module for comparing the updated construction result data with a preset safety rule base, performing safety verification, and optimizing the construction scheme if the verification fails.

[0014] As an optional solution, the logic calculation module includes: a sag tension calculation module, used to solve the spatial shape and mechanical state of the conductor using the catenary equation based on the meteorological conditions and conductor parameters of the decision task, and output sag and tension; a ground anchor force calculation module, connected to the sag tension calculation module, used to calculate the comprehensive force of the ground anchor through a three-dimensional mechanical model simulation based on the tension, and to verify the safety factor to recommend the ground anchor model; a net crossing calculation module, connected to the ground anchor force calculation module, used to verify the clearance and generate net design parameters based on the conductor sag and the information of the object being crossed, using a dynamic safety distance algorithm; a stringer length calculation module, connected to the sag tension calculation module, used to accurately calculate the actual deployment length of the conductor and ground wire by comprehensively considering the sag, elevation difference, and fitting parameters, using a piecewise integration and multi-factor compensation algorithm; and a continuous climbing span calculation module, used to identify the risk of uplift and falling into the trench caused by uneven tension in the case of elevation difference terrain in the decision task, and output adjustment schemes.

[0015] According to another aspect of the present invention, an electronic device is also provided, comprising: a processor and a memory storing a program, characterized in that the program includes instructions, which, when executed by the processor, cause the processor to perform the data processing method and system for scenario decision optimization of power line construction as described above.

[0016] According to another aspect of the present invention, a non-transitory machine-readable medium storing computer instructions is also provided, the computer instructions being used to cause the computer to perform a data processing method and system for scenario decision optimization of power line construction as described above.

[0017] The data processing method and system for scenario decision optimization in power line construction provided by this invention generates a decision task after centrally modeling the data based on the basic data of the construction scenario to obtain a parameter matrix. The result data is obtained by automatically and continuously executing the calculation through a logical calculation chain. This replaces the traditional mode of manual calculation based on scattered data in different sub-processes. It reduces redundant links in manual operation and avoids human calculation errors. Thus, it solves the technical problems of low calculation efficiency, poor accuracy and insufficient security in power line construction, which requires manual calculation based on different data sources in different sub-processes.

[0018] In addition, the visualization interface displays the construction result data. After inputting parameters for extreme construction scenarios through the visualization interface, the parameter matrix is ​​updated and the construction result data is recalculated. The updated construction result data is then used for safety verification and the scheme is optimized. Through the visualization interface and verification module, the working conditions are flexibly updated and the safety is verified in a closed loop. This achieves the technical effect of simulating extreme working conditions in advance and avoiding risks through safety verification. Attached Figure Description

[0019] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention, and those skilled in the art can obtain other embodiments based on these drawings without creative effort.

[0020] Figure 1 This is a flowchart of the data processing method for scenario decision optimization in power line construction, as described in this invention.

[0021] Figure 2 This is a schematic diagram showing the relationship between sag, tension, and ground anchor force in an embodiment of the present invention.

[0022] Figure 3 This is a schematic diagram of the data processing system for scenario decision optimization in power line construction, as described in this invention.

[0023] Figure 4 This is a schematic diagram of the full-cycle computational data flow of an embodiment of the present invention.

[0024] Figure 5 This is a schematic diagram of the structure of the electronic device created by this invention. Detailed Implementation

[0025] Embodiments of the present invention will now be described in more detail with reference to the accompanying drawings. While some embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of the present invention. It should be understood that the drawings and embodiments of the present invention are for illustrative purposes only and are not intended to limit the scope of protection of the present invention.

[0026] To address the challenges of power line construction in related technologies, manual calculations based on different data sources are required in different sub-processes, resulting in low efficiency, poor accuracy, and insufficient safety. This invention provides a data processing method and system for optimizing decision-making during power line construction. Figure 1As shown, the method includes the following steps:

[0027] Step S101: Based on the basic data 11 of the construction entity and construction environment involved in the power line construction, construct a parameter matrix 12 for multiple scenarios and generate decision tasks for each scenario.

[0028] Step S102: For the decision-making task, the data flow and logical association engine 21 calculates the construction result data according to the set logical calculation chain 22. The logical calculation chain 22 includes multiple result calculation modules that are calculated in a set order. The result calculation modules are used to calculate the corresponding construction result data. The construction result data includes result parameters and a construction plan recommended based on the result parameters.

[0029] Step S103: Display the construction result data through a visualization interface and provide a working condition input window 31 in the visualization interface;

[0030] Step S104: Based on the extreme construction scenario parameters input in the working condition input window 31, update the parameter matrix 12 and calculate the updated construction result data;

[0031] Step S105: Compare the updated construction result data with the preset safety rule library to perform safety verification. If the verification fails, optimize the construction plan based on parameter matrix 12.

[0032] In step S101, the main construction data in the basic data 11 includes span, elevation difference, conductor type and parameters, hardware weight, personnel configuration, etc., and the construction environment data in the basic data 11 includes tower coordinates, meteorological conditions, geological conditions and information on the objects being crossed, etc.

[0033] Basic data 11, including the aforementioned information, enables route optimization, pole and tower selection, foundation design, and material list preparation, ensuring an economical and reasonable solution. Basic data 11 can guide on-site positioning, material transportation, conductor erection, and safety protection, preventing construction errors or safety accidents. Basic data 11 also provides calculation basis for subsequent line inspections, fault diagnosis, and upgrades.

[0034] Parameter matrix 12 can transform the aforementioned scattered basic data 11 into computable structured parameters, avoiding data silos. Through dimensional expansion, parameter matrix 12 can encompass various scenarios, including both conventional scenarios like normal weather and typical geology, and special scenarios such as heavy rain, icing, and complex spans. Dimensional expansion of parameter matrix 12 ensures the comprehensiveness of the generated decision-making tasks; for example, it can include decision-making tasks for 10kV line erection under icy conditions in mountainous areas, as well as decision-making tasks for safety distances during railway construction.

[0035] In step S102, each result calculation module corresponds to a key stage in the construction process. For example, the sag tension calculation module 221 corresponds to the tension laying-out stage in the construction process. Based on real-time meteorological conditions, such as the wind speed, air temperature, conductor cross-sectional area, and conductor unit weight, the sag tension calculation module 221 can calculate the target tension and theoretical sag under the current working conditions.

[0036] The logical calculation chain 22 calculates each result calculation module in a predefined order, ensuring that the calculation sequence conforms to the construction logic and avoiding causal reversal. For example, the construction result data can be calculated according to the logical calculation chain 22, which includes modules such as sag tension calculation 221, ground anchor force calculation 222, netting crossing calculation 225, overhead line length calculation 223, and continuous slope span calculation 224. The output data of each module is the key input of the next module. Following this order, unidirectional data flow and progressive results can be achieved without repeated rework and correction.

[0037] The result parameters are the actual calculated values ​​of each result calculation module, such as the sag and tension output by the sag and tension calculation module 221, the comprehensive force output by the ground anchor force calculation module 222, the netting design parameters output by the netting span calculation module 225, and the actual laying length output by the overhead line length calculation module 223. The construction result data, including the result parameters, provides quantitative indicators for comparing different construction schemes, giving decision-making precise and measurable standards.

[0038] The construction results data also includes recommended construction plans based on the result parameters. For example, if the sag tension calculation module 221 outputs the result parameters "layout tension 5kN, final sag 2.5m", the recommended construction plan in the construction results data is "use two 5-ton tension machines, lay out the line at a slow-to-fast pace, and check with a sag meter every 50m during the laying process". Construction personnel do not need to interpret the parameters themselves and can directly operate according to the recommended construction plan, avoiding construction errors caused by misunderstanding of the parameters.

[0039] The results parameters are output synchronously with the construction plan, directly providing data basis and final conclusions. This eliminates the need for staff to obtain parameters and then conduct separate research and formulate plans, greatly shortening the decision-making cycle and avoiding human calculation errors. It is especially suitable for unexpected situations during construction, such as geological conditions being worse than expected. After the construction plan is derived from the logic calculation chain 22, the original construction plan can be quickly adjusted.

[0040] In step S103, the construction result data is displayed through a visualization interface. The result parameters in the construction result data can be presented more intuitively through visualization methods such as charts and 3D models. For example, sag curves and tension distributions can be overlaid on the cross-sectional view to transform complex data into intuitive graphics, which can lower the decision-making threshold and facilitate quick understanding by construction personnel.

[0041] The construction plan displayed in the visualization interface can be presented in a chronological and flowchart manner; alternatively, it can be presented in a linked manner with plan steps and parameter charts, so that each step of the plan is supported by quantitative data, making it easier to understand the design logic of the plan; it can also mark the safety status of risk points in the plan, such as insufficient distance between the guide wire and tree obstacles, or ground anchors located in soft soil geology, with different colors indicating safety, yellow indicating warning, and red indicating danger, and actively issuing warnings in the visualization interface.

[0042] The working condition input window 31 provides a means for construction personnel to intervene manually. Through the working condition input window 31, users can actively modify scene parameters. For example, during the construction phase, if the staff needs to increase the risk resistance of the construction scene, the working condition input window 31 can provide an entry point for extreme scene simulation, such as adjusting the temperature parameter from +20℃ to -10℃.

[0043] The working condition input window 31 can be divided into modules according to the priority and type of the construction scenario, avoiding parameter clutter. Users can select and input construction parameters as needed without having to search for them one by one. For example, it can be divided into extreme working condition module and special working condition module. In extreme working condition, regular construction parameters can be entered, such as height in the elevation difference input box and distance in the span input box.

[0044] The working condition input window 31 can also adapt to different types of parameters, reducing errors from manual input. For example, for fixed options, a drop-down selection box is used with built-in system-preset standard options to avoid user input errors; for input ranges, an input box and slider combination is used, with the input box for precise numerical input and the slider for quick range adjustment; for complex data, a combination of manual input and file upload is provided, allowing users to input key values ​​and import coordinate files, geological exploration reports, etc.

[0045] In step S104, based on the extreme construction scenario parameters input by the user, the corresponding dimension values ​​in parameter matrix 12 are updated, triggering the re-run of logical calculation chain 22 in step S102, generating updated construction result data, and triggering the visualization interface to update and display the updated construction result data.

[0046] Conventional scenario calculations may overlook low-probability risks. By updating parameters for extreme construction scenarios, the construction effects under extreme conditions can be simulated, and the results of extreme scenarios can be calculated in advance, providing data support for the formulation of emergency plans.

[0047] All updated construction results data are centrally displayed on the visualization interface. To assess the impact of strong winds, users simply need to increase the wind speed value from 5 m / s to 15 m / s in the working condition input window 31 and confirm. The system will instantly re-execute the logical calculation chain 22 according to the aforementioned data flow path, highlighting the increase in tension, which ground anchors are nearing their critical safety factors, and which crossing points have insufficient safety margins. This makes adjustments to the construction plan intuitive, efficient, and data-driven.

[0048] In step S105, the updated construction result data is compared with the preset safety rule library. If the verification result does not meet the safety rule library, the parameter matrix 12 is optimized in reverse, such as adjusting the tower height or replacing the high-strength conductor. The calculation is repeated until the construction result data meets the safety rule library. The construction plan at this time is then output as the optimized construction plan.

[0049] Pre-set safety rules must directly correspond to the resulting parameters to ensure quantifiability and comparability. For example, structural stress safety rules can prevent overload of structures such as towers, foundations, and conductors. Maximum allowable values ​​can be set for core stress parameters such as ground anchor stress, conductor tension, and tower bearing capacity to prevent structural deformation or breakage. Safety distance rules can prevent risks such as electric shock and collisions. Minimum safety values ​​can be set for distance parameters such as the distance between conductors and the ground or objects being crossed, and between equipment and live conductors to prevent safety accidents.

[0050] Preset safety rules can also include environmentally adaptable safety rules, which can avoid risks caused by environmental factors such as weather and geology. Permissible construction ranges can be set for environmental parameters such as weather conditions and geological parameters to prevent construction failures caused by environmental factors. Preset safety rules can also include construction operation safety rules, which can standardize construction behavior and avoid human error. Behavioral guidelines can be set for operational aspects such as construction processes and equipment use to ensure that operations comply with safety regulations.

[0051] Pre-defined safety rules can be derived from three core bases: authoritative standards, actual operating conditions, and risk experience. Authoritative standards can be pre-defined based on power industry standards, safety work procedures, and cross-industry standards. Actual operating conditions are calculated based on design specifications and on-site survey data. Risk experience is supplemented by accident cases and risk databases to provide rules for special scenarios not covered by the standards, thereby improving the comprehensiveness of the rules.

[0052] By employing logical calculation chain 22, safety verification, and construction plan optimization, the final plan is ensured to meet safety standards, avoiding safety accidents caused by parameter omissions or calculation deviations. The process of optimizing the construction plan not only corrects individual parameters but may also involve the coordinated adjustment of multiple modules to ensure the systematic nature of the plan. For example, after the tower height is increased, the ground anchor force calculation module 222 needs to be re-run.

[0053] The data processing method and system for scenario decision optimization in power line construction provided by the present invention generates a decision task after centrally modeling the data based on the basic data 11 of the construction scenario to obtain the parameter matrix 12, and then automatically and coherently executing the calculation by the logical calculation chain 22 to obtain the construction result data.

[0054] It replaces the traditional model of manual calculation based on scattered data in different sub-processes, which reduces redundant manual operations and avoids human calculation errors. This solves the technical problems of low calculation efficiency, poor accuracy and insufficient safety in power line construction, which requires manual calculation based on different data sources in different sub-processes.

[0055] In addition, the visualization interface displays the construction result data, and after inputting the parameters of the extreme construction scenario through the visualization interface, the parameter matrix 12 is updated and the construction result data is recalculated. The updated construction result data is then used for safety verification and the scheme is optimized. Through the visualization interface and the verification module 4, the working conditions are flexibly updated and the safety is verified in a closed loop, achieving the technical effect of simulating extreme working conditions in advance and avoiding risks through safety verification.

[0056] As an optional solution, in step S102, for the decision-making task, according to the set logical calculation chain 22, the construction result data is calculated, including: using the sag tension calculation module 221, based on the meteorological conditions and conductor parameters of the decision-making task, the spatial shape and mechanical state of the conductor are solved using the catenary equation, and the sag and tension are output; using the ground anchor force calculation module 222, which works in conjunction with the sag tension calculation module 221, based on the tension, the comprehensive force of the ground anchor is calculated by simulating the three-dimensional mechanical model, and the safety factor is verified to recommend the ground anchor model; using the netting crossing calculation module 225, which works in conjunction with the ground anchor force calculation module 222, based on the conductor sag and the information of the object being crossed, the dynamic safety distance calculation is applied. The system verifies the clearance and generates netting design parameters. Through the overhead line length calculation module 223, which works in conjunction with the sag tension calculation module 221, it comprehensively considers sag, elevation difference, and fitting parameters, employing a piecewise integration and multi-factor compensation algorithm to accurately calculate the actual deployment length of the conductor and ground wire. In cases where there is an elevation difference at the conductor hanging points, the continuous slope calculation module 224, targeting terrain with elevation differences, uses a coupled analysis algorithm to identify the risks of upward movement and falling into trenches due to uneven tension, and outputs adjustment schemes. The result calculation module includes the sag tension calculation module 221, the ground anchor force calculation module 222, the overhead line length calculation module 223, the continuous slope calculation module 224, and the netting span calculation module 225.

[0057] The aforementioned logical calculation chain 22 achieves rigid constraints on the calculation logic by pre-setting the dependencies between each result calculation module and standardizing data interfaces, thus avoiding sequential chaos or data format errors caused by human intervention. In traditional construction calculations, data transmission at each stage relies on manual recording, which is prone to problems such as data copying errors and unit confusion. However, the logical calculation chain 22 in this embodiment eliminates such risks from the source.

[0058] Specifically, the dependencies between result calculation modules are as follows: for example, the interface of the ground anchor force calculation module 222 is strictly defined to receive the tension parameters output by the sag tension calculation module 221. Based on the tension parameters, the comprehensive force on the ground anchor is calculated through simulation using a three-dimensional mechanical model, avoiding calculation deviations caused by missing input data. Standardized data interfaces mean that all result calculation modules use a consistent parameter format, such as unified coordinates and industry standard codes for meteorological parameters, avoiding multiple expressions for the same parameter, such as using both "m / s" and "level" for wind speed, which can lead to data conflicts.

[0059] The dependencies between the various result calculation modules in the logical calculation chain 22 ensure that when the upstream result calculation module in the logical calculation chain 22 completes its calculation or the basic data 11 is updated, it can automatically trigger the recalculation of the downstream related result calculation modules, thereby achieving seamless and accurate data flow and avoiding the phenomenon of partial parameter updates and overall disconnection.

[0060] For example, if the sag tension calculation module 221 recalculates "tension increases from 5kN to 7kN" due to increased wind speed, the ground anchor force calculation module 222 will be automatically triggered to recalculate the comprehensive force of the ground anchor based on the 7kN tension and verify the safety factor to recommend the ground anchor model. The net span calculation module 225 will also update the net design parameters in sync, and the overhead line length calculation module 223 will recalculate the actual laying length of the conductor. The whole process does not require manual intervention.

[0061] The logic calculation chain 22 can identify all scene units in the parameter matrix 12 and perform full-process batch calculations for each scene to ensure coverage of all possible working conditions, including normal, extreme, and special conditions. Specifically, if the parameter matrix 12 contains 10 weather conditions, 5 terrain types, and 10 crossing scenarios, the logic calculation chain 22 can perform batch, interconnected full-process calculations and simulations on all scenes in the parameter matrix 12 to cover 150 combined scenarios. The logic calculation chain 22 can automatically perform full-process calculations for sag, ground anchor, netting, length, and slope for each scenario, avoiding the omission of extreme working conditions due to manual calculations covering only a few typical scenarios.

[0062] The logic calculation chain 22 can intuitively compare the differences in results under different scenarios by performing batch and linked full-process calculations and simulations on all scenarios, providing data basis for optimizing construction plans, such as selecting ground anchor models that are suitable for multiple scenarios to reduce material replacement costs.

[0063] like Figure 2 As shown, this illustrates the relationship between basic data 11 and sag, tension, and anchor force. Figure 2 The lines of different colors represent the relative influence of different parameters in basic data 11 on sag, tension, and anchor force. Figure 2 In traditional Chinese arithmetic, red lines indicate a strong relative influence, yellow lines indicate a moderately strong relative influence, and purple lines indicate a weak relative influence. The relative influence can be determined by the output data from each calculation module. Figure 2 The relative influence of each parameter on sag, tension, and anchor force can directly guide parameter control, risk prediction, and cost optimization in engineering practice, avoiding blind design or operation and maintenance.

[0064] The sag tension calculation module 221 calculates sag using the span, elevation difference within the span, conductor unit mass, conductor elastic modulus, installation reference tension, temperature, wind speed, and icing thickness as inputs. It calculates tension using the basic data 11 for sag calculation combined with the turning angle and the friction coefficient of the line slide / pulley as inputs. After solving the spatial sag curve and mechanical tension of the conductor through the catenary equation, it outputs the sag value and tension value.

[0065] When a conductor is subjected to gravity, it becomes a catenary. The catenary equation directly reflects the quantitative relationship between span, tension, weight, elevation difference, and sag, avoiding the errors of empirical formulas. The catenary equation is: ,pass Calculate the stress change in the conductor, where stress is the tension per unit area of ​​the conductor, through... Calculate the sag of the conductor.

[0066] In the above formula, Indicates the total tension of the conductor; This indicates the unit weight of the conductor, which is the combined load of the conductor's unit mass and the thickness of the ice layer, etc. Represents the hyperbolic cosine function; Denotes the integration constant; This indicates the horizontal distance of the conductor from the low suspension point to the high suspension point; Indicates conductor stress; The installation reference stress of the conductor is obtained by the ratio of the installation reference tension to the cross-sectional area of ​​the conductor. The coefficient of thermal expansion of a conductor is the change in the conductor material per unit length when the temperature changes by 1°C. The elastic modulus of a conductor is a measure of a material's ability to resist deformation when subjected to force within its elastic range. It represents the amount of temperature change, that is, the difference between the current operating temperature and the reference operating temperature; Indicates conductor sag; Represents the cross-sectional area of ​​the conductor; This indicates the horizontal span between the two suspension points of the conductor.

[0067] The sag tension calculation module 221 is the data center of all downstream modules. The ground anchor force calculation module 222 depends on the tension value output by the sag tension calculation module 221. The netting crossing calculation module 225 depends on the sag spatial position output by the sag tension calculation module 221. The stringing length calculation module 223 depends on the sag calculation output by the sag tension calculation module 221 to correspond to the actual laid length of the conductor.

[0068] The ground anchor force calculation module 222 takes the tension value of the sag tension calculation module 221 as the core input, and combines it with the installation reference tension, temperature, wind speed, ice thickness, turning angle, friction coefficient of the clamp / pulley, ground anchor soil strength, ground anchor type / burial depth, etc., to calculate the comprehensive force of the ground anchor through a three-dimensional mechanical model, including pull-out force, anti-sliding force, lateral force, etc., and verifies the safety factor to recommend the ground anchor model.

[0069] Choosing a three-dimensional mechanical model to calculate the comprehensive stress allows for direct calculation of whether the actual stress on the ground anchor is less than the soil's allowable bearing capacity, providing a quantitative basis for verifying the safety rule base. The three-dimensional mechanical analysis model is... Calculate the combined tensile force during the tensioning and untensioning processes, and apply the formula according to safety regulations. Perform a safety factor check and output the corresponding ground anchor model and reinforcement plan.

[0070] In the above formula, This represents the component of the resultant force acting on the ground anchor in the X direction, i.e., the horizontal component along the track direction; This represents the component of the resultant force acting on the ground anchor in the Y direction, such as the horizontal component of the force in the transverse direction caused by wind load or rotation. This represents the component of the resultant force acting on the ground anchor in the Z direction, i.e., the vertical component, which is mainly related to the pull-out force. Normal pressure refers to the pressure applied perpendicular to the contact surface of an object. Indicates the total tension of the conductor; Indicates the turning angle of the line; This represents the coefficient of friction between the ground anchor and the soil; Indicates the bearing capacity of the ground anchor; The safety factor is the ratio of the allowable bearing capacity of the ground anchor to the actual load it bears. This indicates the total load, which is the combined tensile force or load acting on the ground anchor.

[0071] The ground anchor force calculation module 222 bears the mechanical load of sag tension and transforms the sag tension into the design requirements for ground anchor selection, ensuring that the ground anchor can reliably fix the tension equipment and the tension end of the conductor, which is the basic guarantee for construction safety.

[0072] The netting span calculation module 225 is based on the sag value of the sag tension calculation module 221. The sag value can determine the spatial height of the conductor. Combined with the information of the object being crossed, including the height and width of the object being crossed, the clearance distance is checked through the dynamic safety distance algorithm, and design parameters such as the height, span, and material of the netting are generated.

[0073] Choosing a dynamic safety distance algorithm allows for the consideration of the superposition of dynamic factors, ensuring that the safety net design can cope with dynamic risks such as wind deflection and equipment sway during construction. The formula for the dynamic safety distance algorithm is as follows: The span, height, tension, and strength and stability of the mesh support rods of the sealing device are calculated to generate safe and reliable design parameters.

[0074] In the above formula, Indicates the height of the fencing installation; Indicates the height of the lowest point of the conductor sag; This indicates the minimum safe distance required by regulations, that is, the clearance distance that must be guaranteed between the conductor and the object being crossed; This indicates the additional height change caused by wind deflection; This indicates the increase in sag caused by the thickness of the ice layer.

[0075] The netting crossing calculation module 225, linked to sag data, ensures a safe distance between the netting and the conductor and the object being crossed. It also relies on the ground anchor force calculation module 222 to determine the ground anchor's reliability, meaning the ground anchor must bear the additional load of the netting support. The netting crossing calculation module 225 is crucial for protection in high-risk crossing scenarios.

[0076] The overhead line length calculation module 223, based on the sag, span, and height difference from the sag tension calculation module 221, and combined with the hardware joint length and reserved length, uses a piecewise integration method and multi-factor compensation to finally obtain the actual laying length of the conductor and ground wire. The overhead line length calculation module 223 avoids the errors in straight-line distance estimation in traditional calculations, ensuring accurate conductor procurement quantities and is a core element of cost control. The piecewise integration method can accurately calculate the conductor curve length corresponding to the sag; the piecewise integration algorithm formula is as follows: Multi-factor compensation can include sag compensation length. Accurately calculate the length of the conductor and ground wire within the tension section to provide a basis for material procurement and cable cutting.

[0077] In the above formula, This represents the total length of conductor that needs to be laid within a tension section; Let represent the infinitesimal length of the i-th conductor segment; Indicates the sag compensation length of the conductor; Indicates the reserved length of the conductor; Indicates the sag of a conductor; This indicates the span between the two suspension points of the conductor.

[0078] The continuous climbing span calculation module 224, designed for terrain with elevation differences, uses the mechanical model of the sag tension calculation module 221 as a framework. Through a coupled analysis algorithm, it identifies the risks of upward movement and falling off the sag, and outputs solutions such as adjusting tower height and adding tension towers. The upward movement refers to excessive tension on the uphill side, while the risk of falling off the sag refers to the conductor detaching from the pulley on the downhill side.

[0079] The coupled analysis algorithm can simultaneously consider the uneven tension distribution caused by elevation differences and the component of the conductor's own weight. The formula for the coupled analysis algorithm is as follows: The coupling coefficient Based on the impact of tension changes during the laying process on conductor lifting, pulley wrap angle, and the risks of upward movement and falling into the groove, a tension control scheme and special pulley configuration suggestions are provided.

[0080] In the above formula, This represents the height difference between the starting tower and the ending tower within a continuous uphill section. Represents the coupling coefficient of the i-th stage; This represents the height difference between the two towers at the two ends of the i-th span; Indicates the slope angle. This indicates the elevation of the i-th tower. This indicates the elevation of tower number i-1. and Used to calculate the height difference between adjacent towers ; This represents the span of the i-th section, which refers to the horizontal span between tower number i-1 and tower number i.

[0081] The continuous climbing slope calculation module 224 is a supplementary optimization of the sag tension calculation module 221 for special terrains. It can solve the risk of elevation difference that is ignored in conventional calculations and ensure the safety of overhead lines in complex terrains.

[0082] When the unified data hub of the above-mentioned result calculation modules executes the logical calculation chain, it first drives the sag tension calculation module to execute, and uses the tension and conductor sag geometry data output by it as the core input of other modules to form a data flow closed loop.

[0083] The ground anchor force calculation module 222 calls the output data of the overhead line length calculation module to take into account the cumulative friction of the cable passing through the trolley and perform a more accurate force analysis.

[0084] When the continuous climbing gear calculation module 224 identifies the risk of upward movement, it feeds back the risk gear information and the required additional counterweight to the ground anchor force calculation module, recalculates the force on the temporary anchor or the line-pressing pulley, and updates the ground anchor scheme.

[0085] The netting span calculation module 225 calls the sag calculation module to verify the sag data under the highest temperature condition to ensure that the minimum safe distance requirement is met under all conditions.

[0086] All result calculation modules are based on the national and industry standard security verification rule base. The calculation results are compared with the rule base. If the result deviates from the security threshold, an early warning will be automatically triggered and corrective measures will be prompted.

[0087] As an optional approach, in step S104, based on the extreme construction scenario parameters input in the working condition input window 31, the parameter matrix 12 is updated, and the updated construction result data is calculated. This includes: modifying the values ​​of the corresponding parameter items in the parameter matrix 12 to the values ​​of the extreme construction scenario parameters to update the parameter matrix 12; generating new scenario decision tasks based on the updated parameter matrix 12; re-inputting the logical calculation chain 22 for each decision task to calculate the updated construction result data; and updating the visualization interface based on the updated construction result data.

[0088] After inputting the extreme construction scenario parameters into window 31, the extreme construction scenario parameter values ​​replace the corresponding values ​​of the regular parameter items in parameter matrix 12. This transforms low-probability, high-risk extreme scenarios from implicit risks into explicit data, ensuring that the system calculates construction results under the most unfavorable conditions. By injecting and calculating extreme construction scenario parameters, shortcomings in the construction plan can be identified in advance, the plan can be optimized, and accidents can be avoided from the outset.

[0089] The system automatically identifies all items in parameter matrix 12 that are associated with parameters of the extreme construction scenario, ensuring the consistency of data in parameter matrix 12. For example, after the icing thickness is updated, the input parameters for calculating the conductor unit mass and tension are updated synchronously, avoiding the logical contradiction that the icing parameters are updated but the conductor weight remains unchanged. Parameter matrix 12 is the data source for subsequent generation of decision tasks and logical calculation chain 22. Updating parameter matrix 12 ensures that all result calculation modules are based on the same extreme construction scenario, avoiding data disconnect from the source.

[0090] The decision-making task for extreme construction scenarios is generated based on the updated parameter matrix 12. This task includes the core risk points of the extreme construction scenario, avoiding indiscriminate calculations across all scenarios and improving efficiency while ensuring the specificity of the analysis. For example, under conditions of 15mm icing and 25m / s wind speed, the decision-making task is to verify the sag tension and ground anchor force; under soft soil geology and extreme tension conditions, the decision-making task is to optimize the netting crossing scheme.

[0091] The decision-making task triggers the re-run of the logical calculation chain 22. Each result calculation module recalculates the construction result data under the extreme construction scenario based on the updated parameter matrix 12, replacing the manual experience judgment of the extreme construction scenario.

[0092] Presenting updated construction results data in a striking visual format on the interface allows users to intuitively perceive the risks of extreme construction scenarios, providing a visual basis for optimizing construction plans. This can be achieved through features such as red alerts and dynamic simulation animations, where ground anchor stress is highlighted in red and insufficient distance between the safety net and the conductor is dynamically demonstrated.

[0093] In summary, this embodiment ensures that all related parameters and result calculation modules are calculated based on the corresponding extreme construction scenario through global updates of parameter matrix 12 and recalculation of logical calculation chain 22, and that the construction result data is completely accurate. This avoids the incomplete parameter updates that can easily occur with manual calculations, leading to result deviations. The intuitive presentation of the updated visualization interface allows even non-professionals to quickly identify risk points, avoiding decision-making delays caused by misunderstandings of technical aspects.

[0094] As an optional approach, in step S105, the updated construction result data is compared with a preset safety rule library to perform a construction safety verification. If the verification fails, the construction plan is optimized, including: if the updated construction result data is calculated by the result calculation module in the logical calculation chain 22, the safety rule library is called and compared with the construction result data to determine whether the construction result data conforms to the relevant safety rules in the safety rule library. The safety rule library includes multiple safety rules, and each safety rule includes at least one piece of construction result data. If the construction result data does not conform to the safety rules, the relevant basic parameters corresponding to the construction result data that does not conform to the safety rules are determined according to the logical calculation chain 22. Based on the adjustment range of the relevant basic parameters and the calculation relationship between the safety rules and the construction results, updated relevant basic parameters are selected. The parameter matrix 12 is updated according to the updated relevant basic parameters, and the updated construction result data is calculated through the logical calculation chain 22 until the construction result data conforms to the safety rules, thus obtaining the optimized construction plan.

[0095] The system automatically calls the safety rule base, compares the updated construction results data with the rule thresholds, and marks anomalies that do not meet the rules. By replacing experience-based judgment with a quantitative safety rule base, it clearly defines what is safe and unsafe, avoiding the omission of risks caused by vague understanding.

[0096] For example, in the safety rule base, the maximum tension of the conductor is less than or equal to 60% of the rated tensile strength, and the pull-out force of the ground anchor is greater than or equal to 1.2 times the tension. The updated construction result data is tension 80kN and pull-out force 90kN. If the rated tensile strength is 120kN, then the threshold for tensile strength is 72kN, and if the tension is 80kN, then the rule threshold for pull-out force is 96kN. Therefore, it can be marked as "tension exceeds the standard by 8kN" or "pull-out force is less than 6kN".

[0097] Based on the dependency relationship of logical calculation chain 22, the relevant basic parameters corresponding to construction result data that do not comply with safety rules are located in reverse. This avoids blind adjustments and ensures the accuracy of the direction of optimizing the construction plan. For example, insufficient ground anchors not only require increasing the burial depth, but also need to consider tension.

[0098] For the relevant basic parameters traced back, such as conductor type, anchor burial depth, and tower height, the parameters are adjusted within permissible ranges by combining the calculation relationship between physical constraints, safety rules, and construction results. By finding a balance between safety requirements and construction feasibility, parameter adjustments are avoided from exceeding actual construction capabilities. Physical constraints include, for example, the range of selectable conductor types, the maximum limit for anchor burial depth, and tower height design standards. The calculation relationships of the construction results can be, for example, a positive correlation between tension and conductor cross-sectional area, and a positive correlation between pull-out force and anchor burial depth.

[0099] The adjusted basic parameters are updated to parameter matrix 12, triggering the re-run of logical calculation chain 22 to generate new construction result data, which is then compared with the safety rules again. Through multiple rounds of iteration, the optimized construction plan is ensured to be absolutely safe, achieving full-dimensional safety coverage, rather than just meeting a single rule. For example, the ground anchor may meet the standard after adjustment, but the conductor tension may still exceed the standard.

[0100] As an optional approach, after comparing the updated construction result data with a preset safety rule base for safety verification, the method further includes: if the safety verification passes, comparing and evaluating the construction result data of multiple verified construction schemes based on the weight and ranking of each construction result data to select the optimal construction scheme; generating a construction report and a bill of materials based on the optimal construction scheme, wherein the construction report includes the corresponding construction environment and the bill of materials includes the construction entity; carrying out construction based on the optimal construction scheme, and updating the construction result data in real time according to the actual construction scheme, wherein the actual construction scheme includes the construction entity performing the construction and the corresponding real-time construction environment; comparing the updated construction result data with the safety rule base for construction safety verification, and issuing an alarm and optimizing the construction scheme if the verification fails.

[0101] After the safety verification is passed, the entire process design, including multi-scheme comparison and evaluation, output of the optimal solution, construction execution and dynamic monitoring, can achieve closed-loop management from safety compliance to optimal execution, ensuring that power line construction meets safety rules while taking into account efficiency, cost and operability.

[0102] The evaluation indicators can be set by combining the construction cost of power line construction, such as the amount of conductors used and the type of ground anchors; the construction period, i.e. the time consumed by each process; the safety redundancy, i.e. the size of the safety factor; and the operational difficulty, such as the complexity of the netting erection.

[0103] The weights of each construction result data can be dynamically adjusted according to the project priority. For example, for projects crossing high-speed railways, the weights are: safety redundancy (40%), construction period (30%), cost (20%), and operational difficulty (10%). For projects in ordinary mountainous areas, the weights are: cost (35%), safety redundancy (30%), operational difficulty (20%), and construction period (15%).

[0104] For each construction plan that passes the safety verification, the indicators are converted into quantitative scores, and the total score is calculated by weighting the scores. The plan ranked first is the optimal plan. For example, for construction plan A, a 10% cost overrun results in a -10 score, a safety factor of 1.2 results in a +12 score, and a longer construction period results in a -10 score. The total score w = 20 × 35% + 12 × 30% - 10 × 15% = 7 + 3.6 - 1.5 = 9.1 points.

[0105] The optimal construction plan is used to generate construction reports and material lists, and the construction results data are transformed into construction documents that can be directly implemented, ensuring that the on-site execution is consistent with the plan design.

[0106] The construction report includes the corresponding construction environment, which can be a detailed description of meteorological conditions, terrain parameters, or information about objects being crossed. The construction environment report provides construction personnel with operational instructions to avoid errors in execution due to misunderstandings of the plan.

[0107] The bill of materials includes the main construction entities, which can be clearly defined responsible work teams for each process, or equipment models. This ensures that material procurement and equipment allocation accurately match the project requirements, avoiding waste from over-purchasing, work stoppages from under-purchasing, or problems with incompatible equipment models.

[0108] When updating construction result data, the actual construction environment and the main construction entity's operational data are collected, and the real-time data is input into parameter matrix 12, triggering logic calculation chain 22 to recalculate the current construction result data. The updated construction result data is compared with the safety rule base. If a construction safety check fails, such as excessive actual sag or ground anchor stress approaching the threshold, an immediate warning is issued through the visual interface, such as red flashing or audible and visual alarms.

[0109] During construction, the actual working conditions are tracked in real time. By updating construction result data, verifying construction safety, and issuing anomaly warnings, the system ensures that the plan is always adapted to the site conditions. If the warning originates from adjustable parameters, the parameter adjustment is restarted based on real-time data, the logical calculation chain 22 is rerun, the safety verification process is repeated, and an optimized construction plan is generated.

[0110] As an optional approach, the method also includes: monitoring the actual construction tools and the real-time construction environment during the construction process and updating the parameter matrix 12; performing calculations according to the logical calculation chain 22 based on the updated parameter matrix 12 to determine the corresponding updated construction result data; performing real-time verification based on the updated construction result data, and issuing an alarm in a set manner if the verification fails.

[0111] Real-time monitoring of actual construction tools during the actual construction process. The monitoring data can include the operating parameters of the actual construction tools, such as the real-time output tension of the tension machine, the rotation speed of the line-laying pulley, and the working radius of the crane; it can also include the status of the actual construction tools, such as whether the tools are malfunctioning or whether they have deviated from the preset position.

[0112] Real-time monitoring of the actual construction environment during the actual construction process can include meteorological data such as real-time wind speed, temperature, and precipitation; changes in the actual construction environment such as sudden tree intrusion or tower tilting caused by geological subsidence; and the status of objects being crossed in the actual construction environment such as the time of day high-speed rail travel and changes in river water levels.

[0113] Data collection for monitoring actual construction tools can be achieved through sensors such as wind speed sensors, tension sensors, GPS positioning, and on-site cameras, enabling automatic and continuous data collection and avoiding the lag and errors of manual recording.

[0114] When updating parameter matrix 12, the construction tool parameters and construction environment parameters monitored in real time will be automatically replaced with the corresponding preset values ​​in parameter matrix 12 to ensure that parameter matrix 12 is completely synchronized with the actual site conditions. Parameter matrix 12 is the data foundation for subsequent calculations. The real-time updating of parameter matrix 12 ensures that the deduction results of logical calculation chain 22 can truly reflect the current construction status, avoiding the problem of using preset data for calculations and being out of touch with the site conditions.

[0115] Based on the updated parameter matrix 12, the logical calculation chain 22 is triggered to perform automated calculations, comparing the recalculated construction result data with the preset safety rule base. If the verification fails, an alarm is immediately issued according to the set method. Quantified safety rules limit the occurrence of risks, avoiding the expansion of risks due to negligence or wishful thinking by construction personnel.

[0116] The set warning methods can be combined in a multi-dimensional and highly alert manner according to the characteristics of the construction scene to ensure that the warning information can be received and processed by the staff in a timely manner. For example, in situations with high noise levels and dispersed personnel, a loudspeaker and red flashing lights can be used as warning methods. Different warning methods can also be preset according to the severity of the risk. For example, for potential risks, a text prompt can be displayed on the visual interface, while for general risks, a pop-up window will be pushed and highlighted in red.

[0117] In summary, this embodiment monitors the actual construction process in real time and updates parameter matrix 12. Through logical calculation chain 22, it quickly calculates the construction result data, promptly identifies risks and issues warnings, avoiding the hidden dangers of fixed-scheme construction. Real-time monitoring of tool parameters triggers an alarm immediately if the updated construction result data fails verification, achieving a second-level response to tool anomalies. The system automatically completes the entire process of monitoring, updating, calculating, and verifying without manual intervention, simultaneously covering multiple risk dimensions and achieving comprehensive real-time control.

[0118] As an optional approach, the basic data 11 of the construction entity and construction environment involved in the power line construction is obtained, including: in the design stage of power line construction, the design data is obtained to determine the basic data 11 according to the design scheme, wherein the optimized scheme obtained from the basic data 11 is used to optimize the design scheme; in the on-site verification stage of power line construction, the basic data 11 is determined according to the actual construction entity and construction environment, wherein the basic data 11 is used to perform safety verification on the actual construction entity and construction environment.

[0119] The initial basic data 11 for the design phase is based on the core parameters in the design scheme and integrates industry standards, geological survey reports, meteorological statistics, etc. Users can create new projects and enter or import the construction basic data 11 in the visual interface.

[0120] Based on the basic data 11, the driving logic calculation chain 22 verifies whether the design scheme generated based on the basic data 11 meets the safety rules. If the verification fails, it indicates that the design scheme has safety risks, and the design scheme can be adjusted based on the basic data 11 until it meets the safety rules. By comparing multiple sets of design schemes based on the basic data 11, the design scheme that meets the safety standards and has the best cost can also be selected, and the basic data 11 at this time can be used as the initial input for subsequent optimization calculations.

[0121] The basic data 11 in the on-site verification phase is obtained through on-site surveys, equipment testing, and sensor data collection to match the actual construction, replacing the theoretical data in the design phase. The main construction data includes the actual conductor type, actual equipment parameters, and actual weight of hardware; the construction environment data includes the actual tower coordinates, real-time geological conditions, real-time meteorological data, and the actual condition of the objects being crossed.

[0122] The actual collected basic data 11 is compared with the basic data 11 from the design phase, the differences are marked, and the parameter matrix 12 is updated. The logic calculation chain 22 is rerun based on the updated parameter matrix 12 to verify whether the updated design scheme complies with safety rules under actual field conditions. If it does not comply, an early warning is triggered.

[0123] The design phase uses basic data to optimize the scheme, while the on-site phase uses actual data to verify the scheme, forming a closed loop. For example, the anchor burial depth is determined based on survey data during the design phase, and the burial depth is verified on-site using actual geological data to ensure that the scheme complies with safety rules from theory to practice.

[0124] According to another aspect of the present invention, a data processing system for scenario decision optimization in power line construction is also provided, such as... Figure 3 As shown, it includes: an engineering database 1, used to collect and update basic data 11 in real time, and to construct a parameter matrix 12 for multiple scenarios based on the basic data 11 of the construction subject and construction environment involved in power line construction, and to generate decision tasks for each scenario; a logic calculation module 2, connected to the engineering database 1, used to calculate construction result data for decision tasks through data flow and logic association engine 21, according to the set logic calculation chain 22; wherein, the logic calculation chain 22 includes multiple result calculation modules that are calculated sequentially according to a set order, and the result calculation modules are used to calculate the corresponding construction result data, which includes result parameters and construction schemes recommended based on the result parameters; a visualization module 3, connected to the logic calculation module 2, used to visualize the construction result data and provide a working condition input window 31 on the visualization interface; the logic calculation module 2 is also used to update the parameter matrix 12 based on the extreme construction scenario parameters input in the working condition input window 31, and to calculate the updated construction result data; and a verification module 4, connected to the logic calculation module 2, used to compare the updated construction result data with the preset safety rule base, to perform safety verification, and to optimize the construction scheme if the verification fails.

[0125] Engineering Database 1 serves as the foundational support for the entire system, providing accurate data for subsequent calculations. Engineering Database 1 includes main construction data, such as conductor types, equipment parameters, and hardware weights, as well as construction environment data, such as tower coordinates, meteorological conditions, geological parameters, and information on objects being crossed. When updating Engineering Database 1, it connects with field sensors, such as wind speed sensors and tension sensors, design document systems, and field survey terminals to achieve real-time synchronous updates of the basic data.

[0126] The collected or updated basic data 11 is structured according to scenario dimensions to form a multi-dimensional parameter matrix 12, ensuring comprehensive scenario coverage. In the parameter matrix 12, rows represent scenarios and columns represent specific parameters.

[0127] Based on each scene unit of parameter matrix 12, a corresponding decision task is automatically generated, providing a clear calculation objective for logic calculation module 2. For example, the decision task for calculating sag tension and ground anchor force under icing conditions in mountainous areas, and the decision task for designing a netting scheme for a high-wind crossing high-speed railway.

[0128] like Figure 4 As shown, the logic calculation chain 22 is connected to the engineering database 1. Taking the parameter matrix 12 of the engineering database 1 as input, it drives each result calculation module to calculate in sequence through the data flow and logic association engine 21, outputting construction result data containing result parameters and recommended construction schemes, and storing all results in the scenario.

[0129] The logic calculation module 2 is the core execution unit for decision optimization. Through a logic association engine and preset calculation chains, it realizes automated deduction from decision-making tasks to construction result data. The logic calculation chain 22 can connect multiple result calculation modules in the order of calculation of sag tension, ground anchor force, netting span, overhead line length, and slope retaining.

[0130] The visualization module 3 is connected to the logic calculation module 2, and can present the construction result data output by the logic calculation module 2 for each time through a visual interface. The working condition input window 31 of the visualization module 3 provides a way for construction personnel to modify the corresponding parameters. The parameter matrix 12 in the engineering database 1 is automatically updated by the input extreme construction scenario parameters. After the parameter matrix 12 is updated, the logic calculation chain 22 is immediately restarted to generate the construction result data under the extreme construction scenario. This responsive interaction method of the visualization module 3 can support the prediction of extreme risks.

[0131] The output of the logical calculation module 2, displayed in visualization module 3, can include scene comparison views, sensitivity analysis charts, risk heat maps, and optimal construction plan recommendations. Specifically, for example, it can visually present the location and path of towers using GIS (Geographic Information System) maps, the spatial relationships of the construction scene using BIM (Building Information Modeling) 3D models, and the tension distribution through overlaid plan views. Different colors can also be used to indicate safety status, such as green for safe, yellow for warning, and red for danger.

[0132] The operating condition input window 31 features a modular input area, allowing users to manually input or upload extreme operating condition parameters and simultaneously display the corresponding scene preview. For example, after selecting icing thickness from the dropdown menu, adjusting wind speed by sliding, or inputting strong wind parameters, the model displays the conductor wind deflection status in real time.

[0133] When the updated construction results data is compared and verified against safety rules, a preset safety rule library is invoked. The construction results data output by the logic calculation module 2 is compared with the rule thresholds in the safety rule library to determine whether the scheme exceeds the rule threshold. If it exceeds the rule threshold, the verification fails. The preset safety rule library may include quantitative rules such as structural stress, safety distance, and environmental adaptability.

[0134] The verification module 4 ensures that the output construction plan always meets the requirements of the safety rules through a closed-loop logic of the safety rule base and the comparison scheme optimization. When the verification fails, the basic parameters that caused the safety failure can be traced back based on the sequential calculation relationship of the logical calculation chain 22. Within the parameter adjustment range, the parameter matrix 12 is updated and the logical calculation module 2 is triggered to recalculate until the construction result data meets the safety rules, and the optimized plan is output.

[0135] In summary, the deep collaboration among the modules in this embodiment forms a complete decision-making optimization closed loop. Through the dynamic updating of the multi-scenario parameter matrix 12 and extreme construction scenario parameters, all working conditions—common, extreme, and special—are covered, allowing for the early identification of low-probability, high-risk scenarios. The verification module 4, in conjunction with the logic calculation module 2, achieves a safe closed loop of calculation, verification, optimization, and recalculation, preventing construction accidents caused by parameter deviations or scheme oversights. The visualization module 3 transforms complex data into graphical displays, and the working condition input window 31 simplifies parameter operations, enabling even non-professionals to quickly understand the scheme logic and adjust scenario parameters.

[0136] As an optional solution, the logic calculation module 2 includes: a sag tension calculation module 221, used to solve the spatial shape and mechanical state of the conductor using the catenary equation based on the meteorological conditions and conductor parameters of the decision task, and output sag and tension; a ground anchor force calculation module 222, connected to the sag tension calculation module 221, used to calculate the comprehensive force of the ground anchor based on the tension through a three-dimensional mechanical model simulation, and to verify the safety factor to recommend the ground anchor model; and a netting crossing calculation module 225, connected to the ground anchor force calculation module 222, used to calculate the comprehensive force of the ground anchor based on the conductor sag and the crossed netting. The system uses information on objects to verify clearance using a dynamic safety distance algorithm and generates netting design parameters. The overhead line length calculation module 223, connected to the sag tension calculation module 221, is used to comprehensively consider sag, height difference, and fitting parameters, employing a piecewise integration and multi-factor compensation algorithm to accurately calculate the actual deployment length of the conductor and ground wire. The continuous climbing span calculation module 224, when there is a height difference at the conductor hanging points in the decision-making task, uses a coupled analysis algorithm to identify the risks of uneven tension leading to upward movement or falling into the trench, and outputs adjustment schemes, such as adjusting tower height or adding tension towers.

[0137] The sag tension calculation module 221 can be used to determine the spatial sag shape and mechanical load tension of the conductor under specific working conditions, and is the source data for all subsequent calculations. The sag tension calculation module 221 outputs the sag values ​​of each point of the conductor, such as the midpoint sag, the suspension point sag, and the conductor tension, such as the horizontal tension and the maximum operating tension.

[0138] Specifically, the sag tension calculation module 221 takes meteorological conditions in the decision-making task, such as wind speed, ice thickness, temperature, and conductor parameters, such as model, unit weight, and elastic modulus, as inputs. Through the catenary equation, it can accurately describe the curve shape of the conductor under its own weight, ice, and wind load, and can directly solve the sag at any point, that is, the vertical distance between the lowest point of the curve and the suspension point.

[0139] The ground anchor stress calculation module 222 calculates the comprehensive stress that the ground anchor must withstand based on conductor tension, ensuring that the selection and design of the ground anchor meet safety requirements. The ground anchor stress calculation module 222 outputs the comprehensive stress value of the ground anchor, the safety factor, and the recommended ground anchor model.

[0140] Specifically, the ground anchor force calculation module 222 takes the conductor tension, ground anchor installation parameters, geological conditions, and construction scenario parameters output by the sag tension calculation module 221 as input. Through the three-dimensional mechanical model, the ground anchor force calculation module 222 decomposes the conductor tension into horizontal, vertical, and transverse components. Combined with the interaction between the ground anchor and the soil, i.e., the pull-out force equals the soil cohesion plus friction plus the ground anchor's self-weight, the total force and safety factor of the ground anchor are calculated.

[0141] The wire mesh crossing calculation module 225 calculates the design parameters of the wire mesh for scenarios such as crossing high-speed railways and rivers, ensuring the dynamic safe distance between the conductor and the object being crossed. The module outputs the wire mesh material, height, span, and support fixing method.

[0142] Specifically, the netting crossing calculation module 225 takes the conductor sag output by the sag tension calculation module 221, the information of the object being crossed, the ground anchor reliability output by the ground anchor force calculation module 222, and real-time meteorological parameters as inputs. Through the dynamic safety distance algorithm, it comprehensively considers the static sag height of the conductor, the horizontal offset caused by wind deflection, and the deformation of the netting itself to calculate the minimum clearance distance between the conductor and the netting, and between the netting and the object being crossed.

[0143] The overhead line length calculation module 223 calculates the actual laying length of the conductor and ground wire to avoid construction interruptions caused by material waste or shortage. The overhead line length calculation module 223 outputs the total laying length of the conductor and ground wire, material procurement suggestions, etc.

[0144] Specifically, the overhead line length calculation module 223 takes the sag, span, height difference, fitting parameters, and environmental compensation parameters output by the sag and tension calculation module 221 as input. It segments the conductor sag curve by span through piecewise integration, calculates the arc length of each segment using an integral formula, and sums these to obtain the theoretical curve length of the conductor under the current working conditions. Finally, it uses a multi-factor compensation algorithm to superimpose the fitting allowance length, temperature compensation, and tension compensation to obtain the actual deployment length.

[0145] The continuous slope calculation module 224 is designed for mountainous terrain with varying elevations, addressing the risks of uneven conductor tension leading to uplift and fall into trenches, and outputting targeted adjustment solutions. The output of the continuous slope calculation module 224 can include the level of uneven tension risk and the targeted adjustment plan.

[0146] Specifically, the continuous climbing span calculation module 224 takes the basic tension data, conductor suspension point height difference, and pulley parameters from the sag tension calculation module 221 as input. Through a coupled analysis algorithm, it simultaneously considers the tension distribution difference caused by the height difference and the influence of the conductor's own weight. The coupled equations can calculate the tension difference threshold, determining whether the calculated tension distribution difference exceeds the threshold. If it does, the conductor may rise or fall, and the output adjustment plan is: adjusting the tower height or adding a tension tower is required.

[0147] like Figure 4 As shown, the five sub-modules do not exist in isolation, but rather form an interconnected calculation chain with the sag tension calculation module 221 as the core, ensuring the consistency and correlation of the results through data transmission. The output of the ground anchor force calculation module 222 acts on the netting span calculation module 225. The netting support needs to be fixed by ground anchors; if the ground anchors are unsafe, the netting design is invalid. The adjustment scheme of the continuous climbing span module is fed back to the sag tension calculation module 221 and the overhead line length calculation module 223, recalculating the adjusted sag tension and foundation line length to ensure the adaptation of parameters throughout the entire link.

[0148] It should be noted that this embodiment also provides an optional implementation method, which will be described in detail below. Taking a 500kV transmission line project as an example:

[0149] User input basic data 11: Line length 15km, tower location coordinates, conductor type LGJ-400 / 35.

[0150] Initial weather conditions are set as follows: temperature +15℃, wind speed 5m / s, no icing.

[0151] The system automatically completes the full-cycle logical calculation chain 22: the maximum sag is calculated to be 12.3m; a 5t ground anchor is recommended with a safety factor of 2.1; the safety distance across the highway is verified to meet the requirements; and the overhead line length is determined to be 15028m.

[0152] When the user simulates a low-temperature working condition (-5℃), the system immediately recalculates and displays: tension increases by 15%, sag decreases by 8%; the safety factor of the ground anchor drops to 1.8 (still meeting the requirements); and provides corresponding construction adjustment suggestions.

[0153] To make the objectives, technical solutions, and advantages of this invention clearer, the following describes the implementation method in detail with reference to another specific power transmission line construction section.

[0154] Assuming an example of a 500kV transmission line project with four towers N1-N2-N3-N4, the stringing section includes four towers: N1, N2, N3, and N4. N1 to N2 represent a typical span, N2 to N3 crosses a highway, and N3 to N4 form a continuous uphill section with significant elevation differences. The planned construction method is tension-based stringing.

[0155] System initialization and data entry: The user starts the system and creates a new project, "500kV XX line N1-N4 laying segment," through the working condition input window 31. The user uses the table import or manual entry functions provided in the working condition input window 31 to store the following data in the unified project database 1:

[0156] Tower data: N1 tower, type ZMC1, coordinates (X1, Y1), call height 38m, suspension point height 40.5m. N2 tower, type ZMC2, coordinates (X2, Y2), call height 42m, suspension point height 44.5m. N3 tower, type JT1, coordinates (X3, Y3), call height 45m, suspension point height 47.5m (as tension field). N4 tower, type ZMC3, coordinates (X4, Y4), call height 35m, suspension point height 37.5m.

[0157] Conductor parameters: Model JL / G1A-400 / 35, calculated cross-sectional area 425.24mm², outer diameter 26.82mm, weight per unit length 1308kg / km, rated breaking force 87600N, elastic modulus 73000MPa, coefficient of linear expansion 19.6×10⁻ 6 / ℃.

[0158] Meteorological conditions: According to the engineering design requirements, the following operating conditions are entered: Air temperature: -10℃, 0℃, +10℃, +20℃ (installation), +40℃ (maximum temperature). Wind speed: 0m / s (calm), 5m / s (installation wind speed), 10m / s, 15m / s, 23.5m / s (maximum wind). Icing: 0mm, 5mm, 10mm.

[0159] Geological information: Near N3 (tension field) and N4 (traction field), the soil type is recorded as "stiff plastic clay" with an allowable bearing capacity of 150 kPa.

[0160] Information on the object being crossed: Between sections N2 and N3, it crosses the "XX Expressway". The crossing point is 200 meters from tower N2, and the road surface elevation is +50.0m. The minimum safe distance required by the expressway (from the top of the netting to the road surface) is 8.5 meters.

[0161] The logic calculation module 2 executes the process by having the user click the "One-Click Calculation" button in the work condition input window 31, or start the calculation sequentially. The data flow and logic association engine 21 then starts processing the construction result data according to the preset logic calculation chain 22.

[0162] The trigger button of the sag tension calculation module 221 is the starting point of the entire logic calculation chain 22, and is triggered by user operation or data update.

[0163] The sag tension calculation module 221 reads the span, elevation difference, conductor parameters, and all meteorological conditions of N1-N4 from the engineering database 1. It performs iterative calculations using the catenary equation or the equation of state.

[0164] The construction result data output to the visualization module 3 includes the calculated horizontal tension H, sag f, and equivalent line length representing the span for each span under each working condition. Output examples: At +20℃ and in windless conditions, spans N1-N2: horizontal tension H = 21500N, maximum sag f = 12.5m. N2-N3: horizontal tension H = 21500N, maximum sag f = 15.8m. N3-N4: horizontal tension H = 21500N, maximum sag f = 9.2m. These results are automatically written to a shared result area and immediately marked as ready by the data flow and logical association engine 21 for use by the logical calculation chain 22.

[0165] The ground anchor force calculation module 222 is automatically triggered after the data flow and logic association engine 21 detects that the sag tension calculation module 221 has completed the calculation for the installation condition of +20℃ windless conditions. Specifically, it first reads the construction layout diagram (user preset): the tension field is set at tower N3, the traction field at tower N4, and tower N2 is a turning tower. Next, it reads the horizontal tension H=21500N for the N2-N3 and N3-N4 sections under the installation condition from the shared results area. Based on the number of pulley sets, the turning angle, assuming a turning angle of 15° for tower N2, and the pulley friction coefficient (which can be taken as 1.02 to 1.05), it performs force analysis.

[0166] The N3 tower (tension field) main motor anchor pile: force F=k*H*n, k is the dynamic load coefficient, taken as 1.1; n is the number of sub-conductors, which is 4 in this example, F=1.1*21500N*4=94,600N. Based on this force value and the "hard plastic clay" geological information of the N3 tower location in Engineering Database 1, the system selects and recommends "3-ton spiral ground anchor group" in the ground anchor database and suggests a burial depth of 2.5 meters.

[0167] N2 tower (steering tower) steering anchor: force F=2*H*sin(θ / 2) (θ is the steering angle), F=2*21500N*sin(7.5°)≈5,610N, the system recommends using "1-ton steel plate anchor".

[0168] N4 Tower (Traction Field) Main Traction Machine Anchor Pile: Force F=k*H*n*μ`, k is the dynamic load coefficient, which is taken as 1.2 due to the greater impact of traction start / braking; H is the single-gear horizontal tension of 21500N; n is the number of sub-conductors, which is 4 in this example; μ` is the friction correction coefficient of the traction guide pulley, which is taken as 1.03. F=1.2*21500N*4*1.03≈105,456N. The system reads the engineering database. The geology of the N4 tower site is "medium dense sandy soil", and the soil pull-out resistance is lower than that of hard plastic clay. Matching the ground anchor database, "5-ton combined spiral ground anchor group" is recommended, and a burial depth of 3.0 meters is suggested.

[0169] The calculated safety factor for all ground anchors is displayed in the visualization interface and compared with the standard requirements. Green indicates that it is qualified, and red indicates that it is unqualified and needs to be adjusted.

[0170] The netting crossing calculation module 225 and the ground anchor force calculation module 222 are triggered in parallel because they also rely on the output of the sag tension calculation module 221. Specifically, the netting crossing calculation module 225 reads the sag data f=15.8m for the N2-N3 range, as well as the elevation of the suspension points of towers N2 and N3. It calculates the elevation of the conductor at the crossing point (200 meters from tower N2) and compares it with the highway surface elevation plus the safety distance requirement.

[0171] The elevation of the conductor at the crossing point = N2 suspension point elevation + elevation difference correction - sag at that point. Assume the calculated conductor elevation is +69.5m. The required minimum elevation = road surface elevation + 50.0m + safety distance 8.5m = +58.5m.

[0172] Verification result: 69.5m > 58.5m, verification passed. The system displays a green checkmark at the crossing point on the plan view of the visualization interface.

[0173] Simulated scenario: If the user switches the operating condition to the highest temperature of +40℃, the system will recalculate instantly. At this time, the sag will increase and the conductor elevation may drop to +65.0m. Although it is still higher than +58.5m, the safety margin is reduced, and the system may issue a yellow warning.

[0174] The execution of the continuous climbing gear calculation module 224 is triggered automatically by the data flow and logic association engine 21 recognizing a significant elevation difference between gears N3 and N4 (N3 suspension point +47.5m, N4 suspension point +37.5m, elevation difference -10m). The continuous climbing gear calculation module 224, based on the catenary equation, accurately calculates the difference in line length and the force on the suspension points caused by the elevation difference.

[0175] The continuous climbing ramp calculation module 224 calculates that under installation conditions, the vertical component of the force on tower N3 (highest point) is an upward pull force of 1800N, and the vertical component of the force on tower N4 (lowest point) is a downward pressure of 5200N. It outputs a warning: "Tower N3 has a risk of conductor upward movement; it is recommended to take measures such as using a conductor-pressing pulley."

[0176] At the same time, the precise line length, taking into account the actual curve shape, is calculated and is 0.15m longer than the line length calculated based on the oblique parabola. This "line length adjustment + 0.15m" is automatically passed to the next module.

[0177] The overhead line length calculation module 223 is the end of the logic calculation chain 22. It awaits the outputs of the sag tension calculation module 221 and the continuous climbing slope calculation module 224. It calculates the total deployment length of the four sub-conductors by taking all factors into account.

[0178] Detailed calculation of base line length: The sum of the line lengths for each span provided by the sag tension calculation module 221. Slope adjustment: Add +0.15m from the continuous slope span module. Process adjustment: Considering insulation string skew, pulley lifting, distance from conductor outlet to anchor pile, etc., assume a total of +25m. Crimping allowance: According to the hydraulic scheme, each conductor needs to have +1.0m * 6 crimping connectors = +6m reserved.

[0179] Final output: Total deployment length = base line length + ramp adjustment + process adjustment + crimping allowance. The system output is accurate to two decimal places, for example: =1856.47 meters. Simultaneously, it is recommended to install a wire-pressing pulley on tower N3 to prevent the conductor from rising.

[0180] Decision support and scheme optimization are provided, with all calculation results centrally presented on a visual interface. The most essential user operation is the use of the working condition simulation function. If users are concerned about what to do if strong winds occur during construction, they can change the wind speed from "installation wind speed 5m / s" to "strong wind 15m / s" in the working condition input window 31.

[0181] System Response: The data flow and logic association engine 4 detects this change and immediately determines that it will affect the calculation of sag and tension. The data flow and logic association engine 4 automatically re-triggers the sag and tension calculation module 221 to calculate the tension and sag under the new wind load. Subsequently, it automatically triggers the ground anchor force calculation module 222, the netting crossing calculation module 225, and the continuous climbing slope calculation module 224 in a chain-like manner.

[0182] Instant Feedback: The visualization interface refreshes, showing that at a wind speed of 15 m / s, the horizontal tension increases from 21500 N to 28500 N. The ground anchor force calculation module 222 issues a red alert via the visualization interface: "The ground anchor of the N3 tower main motor has exceeded its limit, and the safety factor is insufficient! It is recommended to upgrade to a 5-ton ground anchor." The netting crossing calculation module 225 displays via the visualization interface: "The distance between the conductor at the crossing point and the netting decreases after wind deflection, but still meets the requirements (yellow warning)." The overhead line length calculation module 223 displays via the visualization interface that the line length has slightly shortened due to the increased tension.

[0183] Through the detailed and dynamic feedback provided above, the construction manager can make informed decisions before construction begins: "To cope with possible strong winds, we must upgrade the ground anchor scheme for the N3 tension field from 3 tons to 5 tons." This greatly enhances the foresight and safety of the construction plan.

[0184] The implementation of this system automates the calculation process, avoiding manual data transfer and repetitive calculations in traditional methods; a unified data source ensures consistency of calculation results at each stage; the working condition simulation function reduces the scheme comparison time from several hours to a few minutes, significantly improving decision-making efficiency; automated safety verification effectively prevents construction risks and enhances construction safety; this embodiment fully demonstrates the system's technical advantages in full-cycle calculation and decision support, providing scientific and efficient technical support for power line construction.

[0185] According to another aspect of the present invention, an electronic device is also provided, comprising: a processor and a memory storing a program, characterized in that the program includes instructions, which, when executed by the processor, cause the processor to perform the data processing method and system for scenario decision optimization of power line construction as described above.

[0186] According to another aspect of the present invention, a non-transitory machine-readable medium storing computer instructions is also provided, the computer instructions being used to cause the computer to perform a data processing method and system for scenario decision optimization of power line construction as described above.

[0187] An embodiment of the present invention also provides an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor. The memory stores a computer program executable by the at least one processor, which, when executed by the at least one processor, causes the electronic device to perform the method of the embodiment of the present invention.

[0188] refer to Figure 5The present invention will now describe a structural block diagram of an electronic device that can serve as an embodiment of the present invention, serving as an example of a hardware device applicable to various aspects of the present invention. The electronic device is intended to represent various forms of digital electronic computer devices, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0189] like Figure 5 As shown, the electronic device includes a computing unit 501, which can perform various appropriate actions and processes based on a computer program stored in a read-only memory (ROM) 502 or a computer program loaded from a storage unit 508 into a random access memory (RAM) 503. The RAM 503 may also store various programs and data required for the operation of the electronic device. The computing unit 501, ROM 502, and RAM 503 are interconnected via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0190] Multiple components in the electronic device are connected to I / O interface 505, including: input unit 506, output unit 507, storage unit 508, and communication unit 509. Input unit 506 can be any type of device capable of inputting information into the electronic device. Input unit 506 can receive input digital or character information and generate key signal inputs related to user settings and / or function control of the electronic device. Output unit 507 can be any type of device capable of presenting information and may include, but is not limited to, a display, speaker, video / audio output terminal, vibrator, and / or printer. Storage unit 508 may include, but is not limited to, disks and optical discs. Communication unit 509 allows the electronic device to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks, and may include, but is not limited to, modems, network cards, infrared communication devices, and / or wireless communication transceivers, such as Bluetooth devices, WiFi devices, WiMax devices, cellular communication devices, and / or the like.

[0191] The computing unit 501 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 501 include, but are not limited to, CPUs, graphics processing units (GPUs), various special-purpose artificial intelligence (AI) computing units, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. The computing unit 501 performs the various methods and processes described above. For example, in some embodiments, the method embodiments of the present invention can be implemented as computer programs tangibly contained in a machine-readable medium, such as storage unit 508. In some embodiments, part or all of the computer program can be loaded and / or installed on an electronic device via ROM 502 and / or communication unit 509. In some embodiments, the computing unit 501 can be configured to perform the methods described above by any other suitable means (e.g., by means of firmware).

[0192] Computer programs for implementing the methods of embodiments of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0193] In the context of embodiments of this invention, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable signal medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, or infrared systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0194] It should be noted that the term "comprising" and its variations used in the embodiments of this invention are open-ended, meaning "including but not limited to". The term "based on" means "at least partially based on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The modifications of "one" and "a plurality" mentioned in the embodiments of this invention are illustrative and not restrictive, and those skilled in the art should understand that unless explicitly indicated otherwise in the context, they should be understood as "one or more".

[0195] The user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in the embodiments of this invention are all information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions, and corresponding operation entry points are provided for users to choose to authorize or refuse.

[0196] The steps described in the method embodiments provided by the present invention can be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of protection of the present invention is not limited in this respect.

[0197] The term "embodiment" in this specification refers to a specific feature, structure, or characteristic described in connection with an embodiment that may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily imply the same embodiment, nor does it imply independence or alternativeity from other embodiments. The various embodiments in this specification are described in a related manner, with reference to each other for similar or identical parts. In particular, for apparatus, device, and system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, and relevant details are referred to in the description of the method embodiments.

[0198] The above-described embodiments are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of protection. It should be noted that those skilled in the art can make various modifications and improvements without departing from the inventive concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the appended claims.

Claims

1. A data processing method for scenario decision optimization in power line construction, characterized in that, include: Based on the basic data of the construction entities and construction environment involved in power line construction, a parameter matrix for multiple scenarios is constructed to generate decision-making tasks for each scenario. For the aforementioned decision-making task, the data flow and logical association engine calculates construction result data according to a set logical calculation chain. The logical calculation chain includes multiple result calculation modules that are calculated sequentially according to a set order. The result calculation modules are used to calculate the corresponding construction result data, which includes result parameters and a construction plan recommended based on the result parameters. The construction results data are displayed through a visualization interface, and a working condition input window is provided in the visualization interface; The values ​​of the corresponding parameter items in the parameter matrix are modified to the values ​​of the extreme construction scenario parameters in order to update the parameter matrix; Based on the updated parameter matrix, a new scenario decision task is generated; For each decision-making task, the logical calculation chain is re-entered to calculate the updated construction result data; The visualization interface is updated based on the updated construction results data; The updated construction results data are compared with the preset safety rule base to perform a safety verification. If the verification fails, the construction plan is optimized based on the parameter matrix.

2. The method according to claim 1, characterized in that, For the aforementioned decision-making task, construction result data is calculated according to the established logical calculation chain, including: Using the sag and tension calculation module, based on the meteorological conditions and conductor parameters of the decision-making task, the spatial shape and mechanical state of the conductor are solved using the catenary equation, and the sag and tension are output. The ground anchor force calculation module, which works in conjunction with the sag tension calculation module, calculates the comprehensive force on the ground anchor based on the tension using a three-dimensional mechanical model, and verifies the safety factor to recommend ground anchor models. The netting crossing calculation module, which works in conjunction with the ground anchor force calculation module, verifies the clearance and generates netting design parameters based on the conductor sag and the information of the object being crossed, using a dynamic safety distance algorithm. By using the overhead line length calculation module in conjunction with the sag tension calculation module, and taking into account the sag, height difference, and fitting parameters, the actual laying length of the conductor and ground wire is accurately calculated using a piecewise integration and multi-factor compensation algorithm. In the case of a difference in the height of the guide wire hanging points in the decision-making task, the continuous climbing slope calculation module identifies the risk of uplift and falling into the trench caused by uneven tension through a coupled analysis algorithm for terrain with elevation differences, and outputs an adjustment plan. The result calculation module includes the sag tension calculation module, the ground anchor force calculation module, the overhead line length calculation module, the continuous climbing slope calculation module, and the netting crossing calculation module.

3. The method according to claim 1, characterized in that, The updated construction results data are compared with the preset safety rule base to perform a construction safety verification. If the verification fails, the construction plan is optimized, including: When the result calculation module in the logical calculation chain calculates the updated construction result data, it calls the safety rule base and compares it with the construction result data to determine whether the construction result data conforms to the relevant safety rules in the safety rule base. The safety rule base includes multiple safety rules, and each safety rule includes at least one piece of construction result data. If the construction result data does not comply with safety rules, the relevant basic parameters corresponding to the construction result data that does not comply with safety rules are determined according to the logical calculation chain. Based on the adjustment range corresponding to the relevant basic parameters, and the calculation relationship between the safety rules and the construction results, the updated relevant basic parameters are selected; The parameter matrix is ​​updated based on the updated relevant basic parameters, and the updated construction result data is calculated through the logical calculation chain until the construction result data meets the safety rules, thus obtaining the optimized construction plan.

4. The method according to claim 1, characterized in that, After comparing the updated construction results data with the preset safety rule base to perform safety verification, the method further includes: If the safety verification is passed, the construction results data of multiple verified construction schemes are compared and evaluated by weighting and ranking each construction result data, and the optimal construction scheme is selected. A construction report and a bill of materials are generated based on the optimal construction plan, wherein the construction report includes the corresponding construction environment and the bill of materials includes the main construction components; Construction is carried out based on the optimal construction plan, and the construction result data is updated in real time according to the actual construction plan. The actual construction plan includes the construction entity performing the construction and the corresponding real-time construction environment. The updated construction results data are compared with the safety rule base to perform construction safety verification. If the verification fails, an alarm is issued and the construction plan is optimized.

5. The method according to claim 1, characterized in that, The method further includes: During the construction process, the actual construction tools and the real-time construction environment are monitored in real time, and the parameter matrix is ​​updated accordingly. Based on the updated parameter matrix, calculations are performed according to the logical calculation chain to determine the corresponding updated construction result data; Based on the updated construction results data, real-time verification is performed, and if the verification fails, an alarm is issued according to the set method.

6. The method according to claim 1, characterized in that, Obtain basic data on the construction entities and environment involved in power line construction, including: During the design phase of power line construction, design data is obtained based on the design scheme to determine the basic data, wherein the optimization scheme obtained from the basic data is used to optimize the design scheme; During the on-site verification phase of power line construction, the basic data is determined based on the actual construction entity and construction environment. This basic data is used to perform safety verification on the actual construction entity and construction environment.

7. A data processing system for scenario decision optimization in power line construction, characterized in that, include: The engineering database is used to collect and update basic data in real time, and to construct parameter matrices for multiple scenarios based on the basic data of the construction entities and construction environment involved in power line construction, and to generate decision-making tasks for each scenario. The logic calculation module, connected to the engineering database, is used to calculate construction result data for the decision-making task through a data flow and logic association engine, according to a set logic calculation chain. The logic calculation chain includes multiple result calculation modules that are calculated sequentially according to a set order. The result calculation module is used to calculate the corresponding construction result data, which includes result parameters and a construction plan recommended based on the result parameters. The visualization module, connected to the logic calculation module, is used to visualize the construction result data and provide a working condition input window in the visualization interface; The logic calculation module is further configured to modify the values ​​of the corresponding parameter items in the parameter matrix to the values ​​of the extreme construction scenario parameters, thereby updating the parameter matrix; generate a new scenario decision task based on the updated parameter matrix; re-input the logic calculation chain for each decision task to calculate the updated construction result data; and update the visualization interface based on the updated construction result data. The verification module, connected to the logic calculation module, is used to compare the updated construction result data with the preset safety rule base to perform safety verification. If the verification fails, the construction plan is optimized.

8. The data processing system for scenario decision optimization in power line construction according to claim 7, characterized in that, The logic calculation module includes: The sag and tension calculation module is used to solve the spatial shape and mechanical state of the conductor using the catenary equation based on the meteorological conditions and conductor parameters of the decision-making task, and output the sag and tension. The ground anchor force calculation module is connected to the sag tension calculation module. It is used to calculate the comprehensive force of the ground anchor based on the tension through a three-dimensional mechanical model, and to verify the safety factor to recommend the ground anchor model. The netting crossing calculation module is connected to the ground anchor force calculation module. It is used to verify the clearance and generate netting design parameters based on the conductor sag and the information of the object being crossed, using a dynamic safety distance algorithm. The overhead line length calculation module is connected to the sag tension calculation module. It is used to comprehensively consider the sag, height difference, and hardware parameters, and adopt a piecewise integration and multi-factor compensation algorithm to accurately calculate the actual laying length of the conductor and ground wire. The continuous climbing gear calculation module is used to identify the risk of uplift and falling into the trench caused by uneven tension in the case of the guide hanging point elevation difference in the decision task, and output adjustment schemes for terrain with elevation difference.

9. An electronic device, comprising: A processor and a memory storing a program, characterized in that the program includes instructions that, when executed by the processor, cause the processor to perform the method according to any one of claims 1 to 6.

10. A non-transitory machine-readable medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to perform the method according to any one of claims 1 to 6.

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