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

Abstract

The invention 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, and the method comprises the steps: constructing a parameter matrix of multiple scenes, and generating a decision task of each scene; for the decision-making task, construction result data is calculated according to a set logic calculation chain through a data flow and logic association engine; the construction result data is displayed through a visual interface, and a working condition input window is provided; updating the parameter matrix, and calculating updated construction result data; and comparing the updated construction result data with a preset safety rule base, performing safety verification, and optimizing the construction scheme based on the parameter matrix under the condition that the verification is not passed. The technical problems of low calculation efficiency, poor accuracy and insufficient safety due to the fact that independent calculation needs to be manually performed according to different data sources in different sub-processes in electric power stringing construction in related technologies are solved.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of electric power engineering construction, in particular to a data processing method and system for scene decision optimization of electric power stringing construction. BACKGROUND

[0002] Electric power stringing construction is one of the most complex and technically strongest links in the construction of a power transmission line, and its core lies in a series of interrelated precision calculations, including but not limited to conductor sag and tension calculation, ground anchor stress analysis, stringing length determination, continuous climbing grade processing and netting crossing design.

[0003] At present, the calculation of electric power stringing construction mostly depends on manual work or multiple independent special-purpose software, and such a traditional method has obvious defects. First, the calculation is isolated, each link is independent of each other, the data format and calculation standard are not unified, information islands are formed, and overall optimization is difficult; second, data is fragmented and errors are accumulated, engineers need to manually transfer data between tools, which is easy to introduce human errors, and errors in previous links are amplified step by step, affecting construction accuracy and even endangering safety; third, the efficiency is low, repeated data entry, manual calculation and result checking take a long time, resulting in a long period of scheme development; fourth, there is a lack of decision support, it is difficult to quickly analyze and compare multiple schemes for complex working conditions (such as changing weather), and decision-making mostly depends on personal experience, lacking quantitative scientific basis. Therefore, there is an urgent need for a collaborative calculation integrated solution with full-process integration and automatic data flow to improve the intelligent level and safety guarantee capability of construction.

[0004] For the electric power stringing construction in the related art, manual calculation according to different data sources is needed in different sub-processes, which has the technical problems of low calculation efficiency, poor accuracy and insufficient safety, and currently no effective solution has been proposed. SUMMARY

[0005] The data processing method and system for scene decision optimization of electric power stringing construction provided by the embodiments of the application at least solve the technical problems of low calculation efficiency, poor accuracy and insufficient safety of the electric power stringing construction in the related art, which needs manual calculation according to different data sources in different sub-processes.

[0006] According to one aspect of the present application, a data processing method for scene decision optimization of power stringing construction is provided, comprising: constructing a parameter matrix of multiple scenes according to basic data of construction subjects and construction environments involved in power stringing construction, and generating decision tasks of each scene; for the decision tasks, calculating construction result data according to a set logical calculation chain through a data flow and logic association engine; wherein the logical calculation chain comprises multiple result calculation modules that are calculated in a set order, the result calculation modules are used to calculate corresponding construction result data, the construction result data comprises result parameters and a construction scheme recommended according to the result parameters; the construction result data is displayed through a visual interface, and a working condition input window is provided on the visual interface; based on the limit construction scene parameters input through the working condition input window, the parameter matrix is updated, and the updated construction result data is calculated; the updated construction result data is compared with a preset safety rule library to perform safety checking, and in the case of failing to pass the checking, the construction scheme is optimized based on the parameter matrix.

[0007] As an optional solution, for the decision tasks, the construction result data is calculated according to a set logical calculation chain, comprising: through an arc tension calculation module, based on the meteorological conditions and conductor parameters of the decision tasks, the spatial form and mechanical state of the conductor are solved by using catenary equation, and the sag and tension are output; through a ground anchor stress calculation module cooperating with the arc tension calculation module, based on the tension, the comprehensive stress of the ground anchor is simulated and calculated by a three-dimensional mechanical model, and the safety factor is checked to recommend the ground anchor model; through a netting span calculation module cooperating with the ground anchor stress calculation module, based on the conductor sag and the information of the spanned object, the dynamic safety distance algorithm is applied to check the clearance and generate the netting design parameters; through a stringing length calculation module cooperating with the arc tension calculation module, the actual deployment length of the ground conductor is accurately calculated by using the piecewise integral and multi-factor compensation algorithm, comprehensively considering the sag, elevation difference and fitting parameters; in the case that the decision tasks exist conductor hanging point elevation difference, through a continuous climbing section calculation module, for the elevation difference terrain, the risk of upward and slot dropping caused by uneven tension is identified by a coupling analysis algorithm, and an adjustment scheme is output; wherein the result calculation modules comprise the arc tension calculation module, the ground anchor stress calculation module, the stringing length calculation module, the continuous climbing section calculation module and the netting span calculation module.

[0008] As an optional solution, based on the limit construction scene parameters input through the working condition input window, the parameter matrix is updated, and the updated construction result data is calculated, including: modifying the numerical value of the corresponding parameter item in the parameter matrix to the numerical value of the limit construction scene parameter to update the parameter matrix; generating a new scene decision task according to the updated parameter matrix; re-inputting the logic calculation chain for each decision task to calculate the updated construction result data; and updating the visual interface according to the updated construction result data.

[0009] As an optional solution, the updated construction result data is compared with the preset safety rule library to perform construction safety verification, and in the case of failing to pass the verification, the construction scheme is optimized, including: in the case that the result calculation module in the logic calculation chain calculates the updated construction result data, the safety rule library is called to compare with the construction result data to determine whether the construction result data conforms to the related safety rules in the safety rule library, wherein the safety rule library includes a plurality of safety rules, and a safety rule includes at least one construction result data; in the case that the construction result data does not conform to the safety rules, determining the related basic parameters corresponding to the construction result data that does not conform to the safety rules according to the logic calculation chain; selecting updated related basic parameters according to the adjustment range corresponding to the related basic parameters, and the calculation relationship between the safety rules and the construction result; updating the parameter matrix according to the updated related basic parameters, and calculating the updated construction result data through the logic calculation chain until the construction result data conforms to the safety rules, to obtain the optimized construction scheme.

[0010] As an optional solution, after comparing the updated construction result data with the preset safety rule library to perform safety verification, the method further includes: in the case that the safety verification passes, comparing and evaluating a plurality of verified construction schemes according to the construction result data of the construction schemes, the weight and ranking of each construction result data, and selecting the optimal construction scheme; generating a construction report and a material list according to the optimal construction scheme, wherein the construction report includes a corresponding construction environment, and the material list includes a construction subject; constructing 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 a construction subject performing construction and a corresponding real-time construction environment; comparing the updated construction result data with the safety rule library to perform construction safety verification, and in the case that the verification fails, warning and optimizing the construction scheme.

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

[0012] As an optional solution, the basic data of the construction subject and the construction environment involved in the power line construction are obtained, comprising: in the design stage of the power line construction, according to the design scheme, obtaining the design data to determine the basic data, wherein the optimized scheme of the basic data is used to optimize the design scheme; in the field checking stage of the power line construction, according to the actual construction subject and the construction environment, the basic data is determined, wherein the basic data is used to check the safety of the actual construction subject and the construction environment.

[0013] According to another aspect of the present application, a data processing system for scene decision optimization of power line construction is also provided, comprising: an engineering database for collecting and updating basic data in real time, and constructing a multi-scene parameter matrix according to the basic data of the construction subject and the construction environment involved in the power line construction, and generating decision tasks of each scene; a logic calculation module connected with the engineering database, for calculating construction result data according to a set logical calculation chain through a data flow and logic association engine for the decision tasks; wherein the logical calculation chain comprises a plurality of result calculation modules calculated in a set order, the result calculation modules are used to calculate corresponding construction result data, and the construction result data comprises result parameters and recommended construction schemes according to the result parameters; a visualization module connected with the logic calculation module, for visualizing the construction result data and providing a working condition input window on the visualization interface; the logic calculation module is further used to update the parameter matrix based on the limit construction scene parameters input by the working condition input window, and calculate the updated construction result data; a checking module connected with the logic calculation module, for comparing the updated construction result data with a preset safety rule library to perform safety checking, and optimizing the construction scheme if the checking fails.

[0014] As an optional solution, the logic calculation module comprises: a sag tension calculation module, configured to solve the spatial form and mechanical state of the conductor based on the meteorological conditions and conductor parameters of the decision task by using a catenary equation, and output the sag and tension; a ground anchor stress calculation module, connected to the sag tension calculation module, configured to calculate the comprehensive stress of the ground anchor based on the tension by a three-dimensional mechanical model simulation, and check the safety factor to recommend the ground anchor model; a netting span calculation module, connected to the ground anchor stress calculation module, configured to check the clearance and generate the netting design parameters based on the conductor sag and the information of the spanned object by applying a dynamic safety distance algorithm; a stringing length calculation module, connected to the sag tension calculation module, configured to accurately calculate the actual length of the ground conductor by using a piecewise integral and multi-factor compensation algorithm based on the sag, height difference and fitting parameter; and a continuous climbing grade calculation module, configured to identify the risk of upward movement and groove drop caused by uneven tension for the height difference terrain by a coupling analysis algorithm and output an adjustment scheme in the case that the decision task has a conductor hanging point height difference.

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

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

[0017] The data processing method and system for scenario decision optimization of power stringing construction provided by the embodiments of the present application generate a decision task after parameter matrix is obtained by centralized modeling of data according to the basic data of the construction scene, and automatically and continuously execute calculation by a logic calculation chain to obtain construction result data, thereby replacing the mode of independent calculation of manual operation according to dispersed data in different sub-processes in the traditional technology, reducing the redundant links of manual operation, and avoiding human calculation errors, so as to solve the technical problems of power stringing construction in the related art, i.e., independent calculation by manual operation according to different data sources in different sub-processes, low calculation efficiency, poor accuracy and insufficient safety.

[0018] In addition, the visualization interface displays the construction result data, and after inputting the limit construction scene parameter through the visualization interface, the parameter matrix is updated and the construction result data is calculated again. The updated construction result data is safety checked and the scheme is optimized. Through the visualization interface and the checking module, the working condition is flexibly interactively updated and safety closed loop checking is achieved, and the technical effect of simulating extreme working condition in advance and avoiding risk through safety checking is achieved. BRIEF DESCRIPTION OF DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other embodiments can also be obtained from these drawings without creative labor.

[0020] Figure 1 is a flow chart of the data processing method for scene decision optimization of power stringing construction of the present application.

[0021] Figure 2 is a schematic diagram of the sag, tension and ground anchor force correlation of the embodiment of the present application.

[0022] Figure 3 is a schematic diagram of the data processing system for scene decision optimization of power stringing construction of the present application.

[0023] Figure 4 is a schematic diagram of the full cycle calculation data flow of the embodiment of the present application.

[0024] Figure 5 is a structural schematic diagram of the electronic device of the present application. DETAILED DESCRIPTION

[0025] The embodiments of the present application will be described in more detail below with reference to the drawings. Although some embodiments of the present application are shown in the drawings, it should be understood that the present application can be realized in various forms, and should not be interpreted as being limited to the embodiments set forth herein, on the contrary, these embodiments are provided to more thoroughly and completely understand the present application. It should be understood that the drawings and embodiments of the present application are only for exemplary purposes, and are not intended to limit the scope of protection of the present application.

[0026] In order to solve the power stringing construction in the related art, independent calculation is needed in different sub-processes by manual according to different data sources, which has the technical problems of low calculation efficiency, poor accuracy and insufficient safety. The embodiments of the present application provide a data processing method and system for scene decision optimization of power stringing construction. As shown in Figure 1As shown, the method comprises the following steps:

[0027] In step S101, a parameter matrix 12 of multiple scenarios is constructed according to the basic data 11 of the construction subject and the construction environment involved in the power line construction, and a decision task of each scenario is generated;

[0028] In step S102, for the decision task, the construction result data is calculated by the data flow and logic association engine 21 according to the set logic calculation chain 22; wherein the logic calculation chain 22 comprises multiple result calculation modules that are calculated in a set order, the result calculation module is used to calculate the corresponding construction result data, and the construction result data includes result parameters and a construction scheme recommended according to the result parameters;

[0029] In step S103, the construction result data is displayed through the visual interface, and a working condition input window 31 is provided on the visual interface;

[0030] In step S104, the parameter matrix 12 is updated based on the extreme construction scenario parameters input by the working condition input window 31, and the updated construction result data is calculated;

[0031] In step S105, the updated construction result data is compared with the preset safety rule library to perform safety verification, and in the case of failing to pass the verification, the construction scheme is optimized based on the parameter matrix 12;

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

[0033] The basic data 11 including the above information can realize line path optimization, tower selection, foundation design and material list preparation, and ensure that the scheme is economical and reasonable. The basic data 11 can guide the field positioning, material transportation, conductor erection and safety protection, etc., to avoid construction mistakes or safety accidents. The basic data 11 can also provide calculation basis for subsequent line inspection, fault diagnosis and upgrading.

[0034] The parameter matrix 12 can convert the above scattered basic data 11 into structured parameters that can be calculated, avoiding data islands. Through the dimension expansion of the parameter matrix 12, multiple scenarios can be included, such as normal weather, typical geology and other conventional scenarios, and also including heavy rain, icing, complex span and other special scenarios. The parameter matrix 12 can ensure the comprehensiveness of the generated decision task through dimension expansion, such as including the decision task of 10kV line construction in mountain icing conditions, and also including the decision task of safety distance in cross-rail construction.

[0035] In step S102, each result calculation module corresponds to a key link in construction, such as the sag tension calculation module 221 corresponding to the tension stringing construction link in construction. The sag tension calculation module 221 can calculate the target tension and the theoretical sag under the current working condition according to the real-time meteorological conditions, such as the wind speed at that time, the air temperature, the wire cross-sectional area, the unit weight of the wire, and the like.

[0036] The logical calculation chain 22 calculates each result calculation module in a set order, ensuring that the calculation order conforms to the construction logic and avoiding causal inversion. For example, the logical calculation chain 22 can calculate the construction result data according to the sag tension calculation module 221, the ground anchor stress calculation module 222, the netting span calculation module 225, the stringing length calculation module 223, and the continuous climbing grade calculation module 224. The output data of each module is the key input of the next module, and the data can be unidirectionally transferred and the results can be progressively obtained in this order, without the need for repeated rework and correction.

[0037] The result parameters are the actual calculation values of each result calculation module, such as the sag and tension output by the sag tension calculation module 221, the comprehensive stress output by the ground anchor stress calculation module 222, the netting design parameters output by the netting span calculation module 225, and the actual stringing length output by the stringing length calculation module 223. The construction result data includes the result parameters, which provides quantitative indicators for the comparison of different construction schemes, and provides precise and measurable standards for decision-making.

[0038] The construction result data also includes the recommended construction scheme according to the result parameters. For example, the sag tension calculation module 221 outputs the result parameters of “stringing tension 5 kN and final sag 2.5 m”, and the recommended construction scheme in the construction result data is “use 2 sets of 5-ton tension machines, string the line at a slow speed first and then at a fast speed, and check the sag every 50 m during the stringing process”. The construction personnel do not need to interpret the parameters themselves, but can directly operate according to the recommended construction scheme, avoiding construction errors caused by biased understanding of the parameters.

[0039] The result parameters and the construction scheme are output synchronously, directly providing data basis and final conclusion, without the need for workers to obtain the parameters and then separately study and develop a scheme, greatly shortening the decision-making cycle and avoiding human calculation errors, especially suitable for sudden working conditions in construction, such as worse geological conditions than expected, so that the construction scheme can be quickly adjusted after being obtained by the logical calculation chain 22.

[0040] In step S103, the construction result data is displayed through a visual interface, and the result parameters in the construction result data can be more intuitively presented through visual methods such as charts and three-dimensional models. For example, the sag curve and tension distribution are displayed on the plane section diagram, which can convert complex data into intuitive graphics, reduce the decision threshold, and facilitate the quick understanding of construction personnel.

[0041] The construction scheme displayed in the visualization interface can be presented in a time sequence and flowchart manner; alternatively, each step of the scheme can be supported by quantitative data in the form of linkage between scheme steps and parameter charts, facilitating understanding of the scheme design logic; and different colors can be used to mark the safety status of risk points in the scheme, such as insufficient distance between the conductor and the tree barrier, and the ground anchor located in soft soil, with green representing safety, yellow representing early warning, and red representing danger and actively warning in the visualization interface.

[0042] The working condition input window 31 provides a manual intervention approach for construction personnel, and through the working condition input window 31, the user can actively modify the scene parameters. For example, during the construction phase, the worker wants to increase the risk resistance of the construction scene, and the working condition input window 31 can provide an entry for extreme scene simulation, such as adjusting the temperature parameter from +20°C to -10°C.

[0043] The working condition input window 31 can be divided into modules according to the priority and type of the construction scene to avoid parameter clutter, and the user can select to input the construction parameters as needed without having to find them one by one. For example, it can be divided into an extreme working condition module and a special working condition module, in which the extreme working condition module can input regular construction parameters, the height input box fills in the height, and the span input box fills in the distance.

[0044] The working condition input window 31 can also adapt to different forms of working condition input windows 31 according to different types of parameters to reduce the error of manual input. For example, for fixed option type, a drop-down selection box is used to avoid user input errors by built-in system preset standard options; for input interval type, a combination of input box and slider is used, with the input box for precise numerical value input and the slider for quick range adjustment; and for complex data type, a combination of manual input and file upload is provided, with key numerical value input, coordinate file import, and geological exploration report import.

[0045] In step S104, based on the user input extreme construction scene parameters, the corresponding dimension value in the parameter matrix 12 is updated, triggering the logic calculation chain 22 in step S102 to re-run, generating updated construction result data, and triggering the visualization interface to update and display the updated construction result data.

[0046] The conventional scene calculation may ignore small probability risks, and through the extreme construction scene parameter update, the construction effect under extreme conditions can be simulated, and the extreme scene result can be calculated in advance to provide data support for emergency plan development.

[0047] All updated construction result data are displayed on the visualization interface. If the user wants to assess the impact of strong winds, he or she only needs 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, and highlight how much the tension has increased, which anchor safety factors have approached the critical value, and which span point safety margins are insufficient. This makes the construction scheme adjustment intuitive, efficient and data-driven.

[0048] In step S105, the updated construction result data are 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, replacing the high-strength conductor, etc., and recalculating until the construction result data meet the safety rule library. The construction scheme at this time is output as the optimized construction scheme.

[0049] The preset safety rules need to be directly related to the result parameters to ensure quantification and comparison. For example, the structural stress safety rule can avoid overload of structures such as towers, foundations, and conductors. The maximum allowable value can be set for core stress parameters such as anchor stress, conductor tension, and tower bearing capacity to prevent structural deformation or fracture. The safety distance safety rule can avoid risks such as electric shock and collision. The minimum safety value can be set for distance parameters such as the distance between conductors and the ground or the object being crossed, and the distance between equipment and live bodies to prevent safety accidents.

[0050] The preset safety rules can also include environmental adaptation safety rules, which can avoid risks caused by environmental factors such as weather and geology. The allowable range of construction can be set for environmental parameters such as weather conditions and geological parameters to prevent environmental factors from causing construction failure. The preset safety rules can also include construction operation safety rules, which can standardize construction behavior and avoid human errors. Behavior standards can be set for operation links such as construction processes and equipment use to ensure that operations comply with safety standards.

[0051] The preset safety rules can be obtained based on three core bases: authoritative standards, actual working conditions, and risk experience. The authoritative standards can be preset according to power industry standards, safety work procedures, and cross-industry standards. The actual working conditions are calculated based on design specifications and on-site survey data. The risk experience supplements special scene rules that are not covered by the standards through accident cases and risk databases, improving the comprehensiveness of the rules.

[0052] Through the logical calculation chain 22, safety verification, and construction scheme optimization, the final scheme is ensured to meet the safety standards, avoiding safety accidents caused by parameter omission or calculation deviation. The process of optimizing the construction scheme not only corrects individual parameters but also may link to adjust multiple modules to ensure the system of the scheme, such as the anchor stress calculation module 222 that needs to be re-run after the tower height is increased.

[0053] The data processing method and system for scene decision optimization of power stringing construction provided by the embodiment of the application create a parameter matrix 12 by centralized modeling of data according to the basic data 11 of the construction scene, and then generate a decision task, which is automatically and continuously executed by a logic calculation chain 22 to obtain construction result data.

[0054] The mode of manual independent calculation in different sub-processes according to scattered data in the prior art is replaced, which not only reduces the redundant links of manual operation, but also avoids human calculation errors, thereby solving the technical problems of power stringing construction in the related art, i.e., manual independent calculation according to different data sources in different sub-processes, low calculation efficiency, poor accuracy, and insufficient safety.

[0055] In addition, the construction result data is displayed on the visual interface, and after the limit construction scene parameters are input through the visual interface, the parameter matrix 12 is updated and the construction result data is calculated again, the updated construction result data is safety checked and the scheme is optimized, the working condition is flexibly interactively updated and safety closed-loop checked through the visual interface and the checking module 4, and the technical effects of simulating extreme working conditions in advance and avoiding risks through safety checking are achieved.

[0056] As an optional solution, in step S102, the construction result data is calculated for the decision task according to the set logic calculation chain 22, including: through the sag tension calculation module 221, based on the weather conditions and the conductor parameters of the decision task, the spatial form and the mechanical state of the conductor are solved by using the catenary equation, and the sag and the tension are output; through the ground anchor stress calculation module 222 cooperating with the sag tension calculation module 221, based on the tension, the comprehensive stress of the ground anchor is simulated and calculated by a three-dimensional mechanical model, and the safety factor is checked to recommend the ground anchor model; through the net sealing span calculation module 225 cooperating with the ground anchor stress calculation module 222, based on the conductor sag and the information of the spanned object, the dynamic safety distance algorithm is applied to check the clearance and generate the net sealing design parameters; through the stringing length calculation module 223 cooperating with the sag tension calculation module 221, the actual deployment length of the ground conductor is accurately calculated by using the piecewise integration and multi-factor compensation algorithm, comprehensively considering the sag, the height difference, and the fitting parameter; in the case that the decision task has a conductor hanging point height difference, through the continuous climbing section calculation module 224, the risk of upward movement and slot dropping caused by uneven tension is identified by a coupling analysis algorithm for the height difference terrain, and an adjustment scheme is output; wherein, the result calculation module includes the sag tension calculation module 221, the ground anchor stress calculation module 222, the stringing length calculation module 223, the continuous climbing section calculation module 224, and the net sealing span calculation module 225.

[0057] The logical calculation chain 22 realizes rigid constraints of calculation logic by presetting the dependency relationship and standardized data interface of each result calculation module, avoiding sequence confusion or data format errors caused by human intervention. In traditional construction calculation, data transmission between each link relies on manual recording, which is prone to data transcription errors and unit confusion. The logical calculation chain 22 of the embodiment eliminates such risks from the source.

[0058] Specifically, the dependency relationship between the result calculation modules is strictly defined, for example, the interface of the ground anchor stress calculation module 222 must receive the tension parameter output by the sag tension calculation module 221. Based on the tension parameter, the comprehensive stress of the ground anchor is simulated and calculated through a three-dimensional mechanical model, avoiding calculation deviation caused by missing input data. The standardized data interface means that all result calculation modules use consistent parameter formats, such as unified coordinates and meteorological parameter association industry standard codes, avoiding data conflicts caused by multiple representations of the same parameter, such as wind speed represented by “m / s” and “level”.

[0059] The dependency relationship between each result calculation module in the logical calculation chain 22 ensures that when the upstream result calculation module in the logical calculation chain 22 is calculated or the basic data 11 is updated, the downstream related result calculation module is automatically triggered for recalculation, realizing seamless and accurate data flow and avoiding the phenomenon of partial parameter update and overall disconnection.

[0060] For example, if the sag tension calculation module 221 recalculates the “tension from 5kN to 7kN” due to increased wind speed, the ground anchor stress calculation module 222 will be automatically triggered to recalculate the comprehensive stress of the ground anchor based on the 7kN tension and verify the safety factor to recommend the ground anchor model. The fence crossing calculation module 225 will also update the fence design parameters synchronously, and the stringing length calculation module 223 will recalculate the actual deployment length of the ground wire. The entire process does not require human intervention.

[0061] The logical calculation chain 22 can identify all scenario units in the parameter matrix 12 and perform batch calculation for each scenario in the whole process, ensuring coverage of all possible working conditions such as regular, extreme, and special. Specifically, if the parameter matrix 12 contains 10 kinds of weather conditions, 5 kinds of terrain types, and 1 kind of crossing scenario, the batch and linked whole-process calculation and deduction of all scenarios in the parameter matrix 12 can cover 150 kinds of combined scenarios. The logical calculation chain 22 can automatically perform whole-process calculation of sag, ground anchor, fence, length, and climbing for each scenario, avoiding the omission of extreme working conditions caused by manual calculation covering only a few typical scenarios.

[0062] The logical calculation chain 22 can intuitively compare the result differences under different scenarios by performing batch and linked whole-process calculation and deduction for all scenarios, providing data basis for the optimization of construction schemes, such as selecting ground anchor models that adapt to multiple scenarios and reducing material replacement costs.

[0063] As shown in Figure 2 , the correlation between the basic data 11 and the sag, tension, and ground anchor stress is shown, Figure 2 The different colored lines in the figure represent the relative influence of different parameters in the basic data 11 on the sag, tension, and ground anchor stress, Figure 2 The red line represents strong relative influence, the yellow line represents relatively strong relative influence, and the purple line represents weak relative influence. The relative influence can be determined by the output data size of each result calculation module. Figure 2 The relative influence of each parameter on the sag, tension, and ground anchor stress can directly guide parameter control, risk prediction, and cost optimization in engineering practice, avoiding blind design or operation.

[0064] The sag tension calculation module 221 calculates the sag with span, intra-bay elevation difference, wire unit mass, wire elastic modulus, installation reference tension, temperature, wind speed, and ice thickness as inputs, and calculates the tension with the basic data 11 for calculating the sag combined with the angle of rotation, wire sliding / pulley friction coefficient as inputs. The spatial sag curve and mechanical tension of the wire are calculated by the catenary equation, and the sag value and tension value are output.

[0065] The wire is a catenary under the action of gravity, and the catenary equation can directly reflect the quantitative relationship between span, tension, weight, elevation difference, and sag, avoiding the error of empirical formula. The catenary equation is The stress change of the wire is calculated by The stress is the tension per unit area of the wire, and the sag of the wire is calculated by

[0066] In the above formula, represents the total tension of the wire; represents the unit weight of the wire, i.e., the comprehensive load of the unit mass of the wire and the ice thickness, etc.; represents the hyperbolic cosine function; represents the integral constant; represents the horizontal distance of the wire from the low hanging point to the high hanging point; represents the stress of the wire; represents the installation reference stress of the wire, which is obtained by the ratio of the installation reference tension and the cross-sectional area of the wire; represents the expansion coefficient of the wire, i.e., the change amount per unit length of the wire material when the temperature changes by 1℃; represents the elastic modulus of the wire, which is a measure of the ability of the material to resist deformation when subjected to stress within the elastic range; represents the temperature change, i.e., the difference between the current working condition temperature and the reference working condition temperature; represents the sag of the wire; represents the cross-sectional area of the wire;​ 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 enclosure crossing calculation module 225 is based on the sag value of the sag tension calculation module 221, through which the spatial height of the conductor can be determined, combined with the information of the object to be crossed, including the height and width of the object to be crossed, and the clearance distance is checked through the dynamic safety distance algorithm to generate the design parameters of the height, span and material of the enclosure.

[0073] The dynamic safety distance algorithm can consider the superposition of dynamic factors to ensure that the enclosure design can cope with dynamic risks such as wind deviation and equipment shaking during construction. The formula of the dynamic safety distance algorithm is , which calculates the span, height, tension of the enclosure device and the strength and stability of the net support rod to generate safe and reliable design parameters.

[0074] In the above formula, represents the erection height of the enclosure; represents the height of the lowest point of the conductor sag; represents the minimum safety distance required by the specification, i.e. the clearance distance that must be ensured between the conductor and the object to be crossed; represents the additional height change caused by wind deviation; represents the sag increase amount caused by ice thickness.

[0075] The enclosure crossing calculation module 225 is linked with the sag data to ensure the safety distance of the enclosure from the conductor and the object to be crossed, and relies on the ground anchor reliability obtained by the ground anchor stress calculation module 222, i.e. the ground anchor needs to bear the additional load of the enclosure support. The enclosure crossing calculation module 225 is the key to protection in high-risk crossing scenarios.

[0076] The stringing length calculation module 223 is based on the sag, span and height difference of the sag tension calculation module 221, combined with the length of the fitting joint and the reserved length, and finally obtains the actual deployment length of the ground conductor through the piecewise integral method and multi-factor compensation. The stringing length calculation module 223 avoids the error of straight-line distance estimation in traditional calculation, ensures the accuracy of conductor procurement quantity, and is the core link of cost control. The piecewise integral method can accurately calculate the conductor curve length corresponding to the sag, and the formula of the piecewise integral algorithm is , where the multi-factor compensation can include the sag compensation length , which accurately calculates the stringing length of the ground conductor in the tension section, providing a basis for material procurement and cable cutting.

[0077] In the above formula, represents the total conductor length that needs to be deployed in a tension section; represents the infinitesimal length of the i-th section of conductor; represents the sag compensation length of the conductor; represents the reserved length of the conductor; represents the sag of the conductor; denotes the span of the two suspension points of the conductor.

[0078] The continuous climbing section calculation module 224 is a supplementary optimization of the sag-tension calculation module 221 in special terrain, which can solve the high-difference risk ignored by the conventional calculation and ensure the safety of the stringing in complex terrain.

[0079] The coupling analysis algorithm can simultaneously consider the uneven tension distribution caused by the high difference and the conductor self-weight component. The formula of the coupling analysis algorithm is wherein the coupling coefficient According to the influence of the tension change in the stringing process on the conductor lifting, the block angle of the trolley, and the risk of climbing and falling, the tension control scheme and special trolley configuration suggestions are output.

[0080] In the above formula, denotes the height difference between the starting tower and the terminal tower in a continuous climbing section; denotes the coupling coefficient of the i-th section; denotes the height difference between the two towers at the ends of the i-th section; denotes the slope angle. denotes the elevation of the i-th tower; denotes the elevation of the i-1-th tower, and are used to calculate the height difference between adjacent towers ; denotes the span of the i-th section, i.e., the horizontal span between the i-1-th tower and the i-th tower.

[0081] The continuous climbing section calculation module 224 is a supplementary optimization of the sag-tension calculation module 221 in special terrain, which can solve the high-difference risk ignored by the conventional calculation and ensure the safety of the stringing in complex terrain.

[0082] When the unified data hub executes the logical calculation chain, the sag-tension calculation module is first driven to execute, and the tension and the conductor sag geometry data output by the sag-tension calculation module are used as the core input of other modules, forming a data flow closed loop.

[0083] The ground anchor force calculation module 222 calls the output data of the stringing length calculation module to consider the cumulative friction of the cable passing through the trolley and perform more accurate force analysis.

[0084] When the continuous climbing section calculation module 224 identifies the climbing risk, it feeds back the risk section information and the required additional counterweight to the ground anchor force calculation module, recalculates the force of the anchor or the line pressing trolley, and updates the ground anchor scheme.

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

[0086] All result calculation modules are preset based on the safety verification rule library of national and industry standards, and the calculation results are compared with the rule library. If the safety threshold is deviated, the pre-warning is automatically triggered and the correction measures are prompted.

[0087] As an optional solution, in step S104, based on the limit construction scene parameter input by the working condition input window 31, the parameter matrix 12 is updated, and the updated construction result data is calculated, including: modifying the value of the corresponding parameter item in the parameter matrix 12 to the value of the limit construction scene parameter to update the parameter matrix 12; generating a new decision task for the scene according to 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 visual interface according to the updated construction result data.

[0088] After the limit construction scene parameter is input by the working condition input window 31, the limit construction scene parameter value replaces the value of the corresponding normal parameter item in the parameter matrix 12. The extreme scene with a small probability and a high risk is converted from an implicit risk to an explicit data, ensuring that the system calculates the construction result data under the most unfavorable working condition. Through limit construction scene parameter injection and calculation, the deficiencies of the construction scheme can be found in advance, and the construction scheme can be optimized to avoid accidents from the source.

[0089] The system automatically identifies all items in the parameter matrix 12 associated with the limit construction scene parameter, ensuring the consistency of the data in the parameter matrix 12. For example, after the ice thickness is updated, the input parameters for wire unit mass and tension calculation are updated synchronously to avoid logical contradictions such as ice parameter update but wire weight unchanged. The parameter matrix 12 is the data source for generating decision tasks and logical calculation chains 22 subsequently, and the parameter matrix 12 update ensures that all result calculation modules are based on the same limit construction scene, avoiding data disconnection from the source.

[0090] The decision task of the limit construction scene is generated based on the updated parameter matrix 12, and the decision task contains the core risk point of the limit construction scene, avoiding indiscriminate calculation of the whole scene, improving efficiency while ensuring the pertinence of the analysis. For example, under the working condition of 15mm ice and 25m / s wind speed, the decision task is to perform sag tension and ground anchor stress verification; under the working condition of soft soil and limit tension, the decision task is to perform enclosed net span scheme optimization.

[0091] The decision task triggers the logical calculation chain 22 to run again, and each result calculation module re-calculates the construction result data under the limit construction scene based on the updated parameter matrix 12, replacing the manual experience judgment of the limit construction scene.

[0092] The updated construction result data is presented in a prominent visual form on the interface, which can allow the user to intuitively perceive the risk of the limit construction scene and provide a visual decision basis for the optimization of the construction scheme. For example, a red warning, a dynamic simulation animation, i.e., a red label for the stress of the ground anchor, and a dynamic demonstration of the insufficient distance between the sealing net and the conductor.

[0093] In summary, the embodiment ensures that all associated parameters and result calculation modules are calculated based on the corresponding limit construction scene, and the construction result data is completely accurate, by global updating of the parameter matrix 12 and re-calculation of the logic calculation chain 22, and avoids the incomplete parameter updating and resulting deviation that can occur in manual calculation. The intuitive presentation of the updated visual interface allows even non-professionals to quickly identify risk points and avoid decision delays caused by technical understanding bias.

[0094] As an optional solution, in step S105, the updated construction result data is compared with a preset safety rule library to perform construction safety verification, and in the case of failing to pass the verification, the construction scheme is optimized, including: in the case that the result calculation module in the logic calculation chain 22 calculates the updated construction result data, the safety rule library is called to compare with the construction result data to determine whether the construction result data meets the relevant safety rules in the safety rule library, wherein the safety rule library includes a plurality of safety rules, and the safety rule includes at least one construction result data; in the case that the construction result data does not meet the safety rule, the relevant basic parameters corresponding to the construction result data that does not meet the safety rule are determined according to the logic calculation chain 22; the updated relevant basic parameters are selected according to the adjustment range corresponding to the relevant basic parameters and the calculation relationship between the safety rule and the construction result; the parameter matrix 12 is updated according to the updated relevant basic parameters, and the updated construction result data is calculated through the logic calculation chain 22 until the construction result data meets the safety rule, and the optimized construction scheme is obtained.

[0095] The system automatically calls the safety rule library, compares the updated construction result data with the rule threshold, and marks the abnormal items that do not meet the rules. The quantitative safety rule library replaces the experience judgment to clearly define safety and insecurity, and avoids the risk omission caused by fuzzy cognition.

[0096] For example, the safety rule library has a safety rule that the maximum tension of the conductor is less than or equal to 60% of the rated tensile strength, and the ground anchor uplift resistance is greater than or equal to 1.2 times the tension; the updated construction result data is a tension of 80 kN and an uplift resistance of 90 kN; the rated tensile strength is 120 kN, so the threshold of the tensile strength is 72 kN, and the rule threshold of the uplift resistance is 96 kN when the tension is 80 kN; that is, it can be marked as “tension exceeds 8 kN” and “uplift resistance is insufficient by 6 kN”.

[0097] Based on the dependency relationship of the logical calculation chain 22, the reverse positioning of the construction result data corresponding to the related basic parameters that do not meet the safety rules. Avoid blind adjustment and ensure the direction of the optimized construction scheme. For example, insufficient ground anchors not only need to increase the burial depth, but also need to consider the tension.

[0098] For the related basic parameters traced back, such as conductor model, ground anchor burial depth, tower height, etc., combined with physical constraints and the calculation relationship between safety rules and construction results, the parameters are adjusted within the allowed range. By finding a balance point between safety requirements and construction feasibility, the adjustment of parameters beyond the actual construction capacity is avoided. Among them, the physical constraints can be like the optional range of conductor model, the maximum limit of ground anchor burial depth, the design standard of tower height, etc. The calculation relationship of the construction result can be like the positive correlation between tension and conductor cross-sectional area, the positive correlation between uplift capacity and ground anchor burial depth, etc.

[0099] The adjusted basic parameters are updated to the parameter matrix 12, triggering the logical calculation chain 22 to run again, generating new construction result data, and comparing again with the safety rules. Through multiple iterations, it ensures that the optimized construction scheme is absolutely safe, achieving full-dimensional safety coverage, rather than just meeting a single rule, such as meeting the ground anchor standard after adjustment, but the conductor tension is still over standard.

[0100] As an optional scheme, after comparing the updated construction result data with the preset safety rule library and performing safety verification, the method further comprises: in the case that the safety verification is passed, comparing and evaluating the construction result data of the multiple verified construction schemes through the weight and ranking of each construction result data, and screening out the optimal construction scheme; generating a construction report and a material list according to the optimal construction scheme, wherein the construction report includes the corresponding construction environment, and the material list includes the construction subject; performing 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 subject performing the construction and the corresponding real-time construction environment; comparing the updated construction result data with the safety rule library to perform construction safety verification, and in the case that the verification is not passed, warning and optimizing the construction scheme.

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

[0102] The evaluation index can combine the construction cost of power line construction, such as conductor consumption, ground anchor model, etc.; construction period, i.e. time consumption of each process; safety redundancy, i.e. safety factor size; operation difficulty, such as complexity of fence erection, etc. These four categories of indexes are set as evaluation indexes.

[0103] The weight of each construction result data can be dynamically adjusted according to the project priority, for example, for a high-speed rail project, safety redundancy (40%), construction period (30%), cost (20%), and operation difficulty (10%); for a general mountainous project, cost (35%), safety redundancy (30%), operation difficulty (20%), and construction period (15%).

[0104] For each construction scheme that passes the safety check, the indicators are converted into quantitative scores, the total score is calculated by weighting, and the first ranked is the optimal scheme. For example, construction scheme A, cost overruns 10% -10 points, safety factor 1.2 +12 points, long construction period -10 points, total score w=20x35%+12x30%-10x15%=7+3.6-1.5=9.1 points.

[0105] According to the optimal construction scheme, a construction report and a bill of materials are generated, the construction result data is converted into a construction file that can be directly implemented, and the on-site execution is ensured to be consistent with the scheme design.

[0106] The construction report includes the corresponding construction environment, which can be detailed meteorological conditions, topographic parameters, or information about the object to be crossed. The construction environment provides the construction personnel with a construction operation manual to avoid execution errors caused by deviations in understanding the scheme.

[0107] The bill of materials includes the construction subject, which can be the responsibility team for each process or the equipment model. The construction subject ensures that the material procurement and equipment allocation are accurately matched with the scheme requirements, avoiding the problems of waste due to overbuying, insufficient due to underbuying, or equipment model inconsistency.

[0108] When updating the construction result data, collect the operation data of the actual construction environment and the construction subject, and input the real-time data into the parameter matrix 12 to trigger the logic calculation chain 22 to recalculate the current construction result data. Compare the updated construction result data with the safety rule library, and if the construction safety check fails, for example, the actual sag exceeds the standard, the ground anchor stress approaches the threshold, etc., immediately show the warning through the visual interface, such as red flashing, sound and light alarm, etc.

[0109] Real-time tracking of actual working conditions during construction can ensure that the scheme always adapts to the site through construction result data updating, construction safety checking, and abnormal warning. If the warning is caused by adjustable parameters, restart parameter adjustment based on real-time data, run the logic calculation chain 22 again, perform the safety check process, and generate an optimized construction scheme.

[0110] As an optional solution, the method further comprises: monitoring the actual construction tools used in the construction process in real time, and monitoring the actual construction environment in real time, updating the parameter matrix 12; based on the updated parameter matrix 12, calculating according to the logical calculation chain 22 to determine the corresponding updated construction result data; according to the updated construction result data, real-time checking, and if the checking fails, warning in a set manner.

[0111] The actual construction tools in the actual construction process are monitored in real time, and the monitoring data can include the operating parameters of the actual construction tools, such as the real-time output tension of the tensioner, the rotating speed of the pay-off trolley, the working radius of the crane, etc.; It can also include the state of the actual construction tool, such as whether the tool is malfunctioning or deviating from the preset position, etc.

[0112] The actual construction environment in the actual construction process is monitored in real time, and the monitoring data can include meteorological data of the actual construction environment, such as real-time wind speed, air temperature, precipitation, etc.; It can also include the change of the actual construction environment, such as the sudden invasion of tree barriers, the inclination of towers caused by geological subsidence, etc.; It can also include the state of the actual construction environment, such as the passing time of high-speed rail, the change of river water level, etc.

[0113] The data acquisition method of monitoring the actual construction tool can be realized by sensors such as wind speed sensor, tension sensor, GPS positioning, and on-site camera, etc. to realize automatic and continuous data acquisition, avoiding the lag and error of manual recording.

[0114] When updating the parameter matrix 12, the real-time monitored construction tool parameters and construction environment parameters are automatically replaced with the corresponding preset values in the parameter matrix 12 to ensure that the parameter matrix 12 is completely synchronized with the actual site. The parameter matrix 12 is the data basis for subsequent calculation, and the real-time updating of the parameter matrix 12 ensures that the deduction result of the logical calculation chain 22 can truly reflect the current construction state, avoiding the problem of disconnection between the preset data calculation and the site.

[0115] Based on the updated parameter matrix 12, the logical calculation chain 22 is triggered to automatically calculate, the re-calculated construction result data is compared with the preset safety rule library, and if the checking fails, the warning is immediately set in a set manner. Quantitative safety rules are used to limit risks, avoiding the expansion of risks due to the negligence or lucky psychology of construction personnel.

[0116] The set warning mode can be combined with the characteristics of the construction scene in a multi-dimensional and strong reminding mode to ensure that the warning information can be received and processed by the staff in time. For example, in the case of high noise and scattered personnel, a high-pitched loudspeaker and a red flashing light can be used as a warning mode. Different warning modes can also be preset according to the severity of the risk, such as potential risk, which can appear as a text prompt on the visual interface, and general risk can push a pop-up window and mark it red.

[0117] In summary, the embodiment monitors the actual construction process in real time and updates the parameter matrix 12, quickly calculates the construction result data through the logical calculation chain 22, discovers risks in time and gives early warnings, and avoids the hidden dangers of fixed scheme construction. Real-time monitoring of tool parameters, direct warning if the updated construction result data does not pass the verification, achieving second-level response of tool abnormalities. The system automatically completes the whole process of monitoring, updating, calculation and verification, without manual intervention, and can cover multiple risk dimensions at the same time, achieving all-round real-time management and control.

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

[0119] The basic data 11 in the design stage is based on the core parameters in the design scheme, integrates industry standards, geological survey reports, meteorological statistical data, etc., to determine the initial basic data 11. Users can create a new project in the visual interface and input or import construction basic data 11.

[0120] The logical calculation chain 22 is driven based on the basic data 11 to verify whether the design scheme generated based on the basic data 11 meets the safety rules. If the verification fails, it means that the design scheme has safety hazards, and the design scheme can be adjusted based on the basic data 11 until the safety rules are met. Based on the basic data 11, multiple design schemes can also be compared to select the design scheme that meets the safety standards and has the optimal cost, and the basic data 11 at this time is used as the initial input for subsequent optimization calculation.

[0121] The basic data 11 in the field verification stage is obtained through field survey, equipment detection, sensor collection, etc., to obtain basic data 11 matching the actual construction, replacing the theoretical data in the design stage. The construction subject data includes the actual on-site conductor type, equipment actual parameters, hardware actual weight, etc.; the construction environment data includes the actual tower coordinates, real-time geological conditions, real-time meteorological data, actual state of the crossed objects, etc.

[0122] Compare the actually collected basic data 11 with the basic data 11 in the design stage, mark the difference items, and update the parameter matrix 12. Run the logical calculation chain 22 again with the updated parameter matrix 12 to verify whether the updated design scheme meets the safety rules under the actual field conditions, and if not, trigger an early warning.

[0123] The design stage optimizes the scheme with basic data 11, and the field stage verifies the scheme with actual data, forming a closed loop. For example, during design, the anchor depth is determined based on survey data, and in the field, the depth is verified to ensure that it is sufficient, ensuring that the scheme meets safety rules from theory to practice.

[0124] According to another aspect of the present application, a data processing system for scenario decision optimization of power stringing construction is also provided, as shown in the accompanying drawings, comprising: Figure 3 An engineering database 1 is used to collect and update basic data 11 in real time, and to construct a multi-scenario parameter matrix 12 based on basic data 11 related to construction subjects and construction environments involved in power stringing construction, and to generate decision tasks for each scenario. A logic calculation module 2 is connected to the engineering database 1 and is used to calculate construction result data according to a set logic calculation chain 22 through a data flow and logic association engine 21 for decision tasks. The logic calculation chain 22 includes multiple result calculation modules that are calculated in a set order. The result calculation modules are used to calculate corresponding construction result data, which includes result parameters and recommended construction schemes based on the result parameters. A visualization module 3 is connected to the logic calculation module 2 and is 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 through the working condition input window 31 and to calculate updated construction result data. A verification module 4 is connected to the logic calculation module 2 and is used to compare the updated construction result data with a preset safety rule library for safety verification and to optimize the construction scheme if the verification fails.

[0125] The engineering database 1 is the foundation of the entire system and provides accurate data support for subsequent calculations. The engineering database 1 includes construction subject data such as conductor type, equipment parameters, fitting weight, and construction environment data such as tower coordinates, weather conditions, geological parameters, and information about crossed objects. The engineering database 1 is updated by interfacing with field sensors such as wind speed sensors, tension sensors, design document systems, and field survey terminals to achieve real-time synchronous updating of basic data 11.

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

[0127] Based on each scenario unit of the parameter matrix 12, corresponding decision tasks are automatically generated to provide clear calculation targets for the logic calculation module 2. For example, decision tasks for calculating arc tension and ground anchor stress under icing conditions in mountainous areas, and decision tasks for designing a net sealing scheme in a high-speed rail wind field scenario.

[0128] As shown in Figure 4 The logical calculation chain 22 is connected with the engineering database 1, takes the parameter matrix 12 of the engineering database 1 as input, drives each result calculation module to calculate in sequence through the data flow and the logical association engine 21, outputs the construction result data containing the result parameters and the recommended construction scheme, and stores all the results under the scene.

[0129] The logical calculation module 2 is the core execution unit of decision optimization, and realizes the automatic deduction from the decision task to the construction result data through the logical association engine and the pre-designed calculation chain. The logical calculation chain 22 can be connected with multiple result calculation modules in the order of the sag tension, the ground anchor stress, the sealing network span, the stringing length and the climbing slope.

[0130] The visualization module 3 is connected with the logical calculation module 2, and can present the construction result data output by the logical calculation module 2 through the visualization interface. The working condition input window 31 of the visualization module 3 provides a modification approach for the construction personnel to modify the corresponding parameters. The parameter matrix 12 in the engineering database 1 is automatically updated by the input limit construction scene parameters, and after the parameter matrix 12 is updated, the logical calculation chain 22 is restarted immediately to generate the construction result data under the limit construction scene. The response interaction mode of the visualization module 3 can support the extreme risk prediction.

[0131] The output of the logical calculation module 2 displayed by the visualization module 3 can include the scene comparison view, the sensitivity analysis graph, the risk heat map and the optimal construction scheme recommendation. Specifically, for example, the tower position and path can be marked on the GIS (Geographic Information System) map, the BIM (Building Information Modeling) three-dimensional model can display the spatial relationship of the construction scene, and the tension distribution can be displayed in the form of a plane view. Different colors can be used to identify the safety state, such as green for safety, yellow for warning, and red for danger.

[0132] The working condition input window 31 sets the modular input area, which can support the user to manually input or upload the limit working condition parameters and synchronously display the scene preview corresponding to the parameters. For example, after the ice thickness is selected by pulling down, the wind speed is adjusted by sliding or the strong wind parameter is input, the model displays the conductor wind deflection state in real time.

[0133] When the updated construction result data is compared and verified with the safety rules, the preset safety rule library is called to compare the construction result data output by the logical calculation module 2 with the rule threshold in the safety rule library, to judge whether the scheme exceeds the rule threshold. If the scheme exceeds the rule threshold, the verification fails. The preset safety rule library can include quantitative rules such as structural stress, safety distance and environmental adaptation.

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

[0135] In summary, the deep cooperation of each module in the embodiment forms a complete decision optimization closed loop. Through the dynamic updating of the multi-scenario parameter matrix 12 and the extreme construction scenario parameters, all working conditions of normal, extreme and special are covered, and small probability high risk scenarios are identified in advance. The checking module 4 and the logic calculation module 2 are linked to realize the safety closed loop of calculation, checking, optimization and recalculation, and to avoid construction accidents caused by parameter deviation or scheme omission. The visualization module 3 converts complex data into graphical display, and the working condition input window 31 simplifies parameter operation, so that even non-professionals can quickly understand the scheme logic and adjust the scene parameters.

[0136] As an optional scheme, the logic calculation module 2 includes: a sag tension calculation module 221, configured to solve the spatial form and mechanical state of the conductor based on the weather conditions and conductor parameters of the decision task by using the catenary equation, and output the sag and tension; a ground anchor stress calculation module 222 connected with the sag tension calculation module 221, configured to calculate the comprehensive stress of the ground anchor based on the tension by a three-dimensional mechanical model simulation, and check the safety factor to recommend the ground anchor model; a netting span calculation module 225 connected with the ground anchor stress calculation module 222, configured to check the clearance based on the conductor sag and the information of the spanned object by using a dynamic safety distance algorithm, and generate the netting design parameters; a stringing length calculation module 223 connected with the sag tension calculation module 221, configured to accurately calculate the actual length of the ground conductor by using a piecewise integral and multi-factor compensation algorithm based on the sag, the height difference and the fitting parameter; and a continuous climbing grade calculation module 224, configured to identify the risk of upward and off-slot caused by uneven tension based on the height difference terrain by a coupling analysis algorithm in the case that the decision task has a conductor hanging point height difference, and output an adjustment scheme such as adjusting the tower height and adding a strain tower.

[0137] The sag tension calculation module 221 can be used to determine the spatial sag form and mechanical load tension of the conductor under a specific working condition, which 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 hanging point sag, and the conductor tension, such as the horizontal tension and the maximum use tension.

[0138] Specifically, the sag tension calculation module 221 takes meteorological conditions in the decision task, such as wind speed, ice thickness, air temperature, and conductor parameters, such as model, unit weight, elastic modulus, as input. Through the catenary equation, the curve shape of the conductor under the action of gravity, ice, and wind load can be accurately described, and the sag of any point, that is, the vertical distance between the lowest point of the curve and the hanging point, can be directly solved.

[0139] The ground anchor stress calculation module 222 calculates the comprehensive stress that the ground anchor needs to bear based on the conductor tension, to ensure that the ground anchor selection and design meet the safety requirements. The ground anchor stress calculation module 222 outputs the ground anchor comprehensive stress value, safety factor, and recommended ground anchor model.

[0140] Specifically, the ground anchor stress calculation module 222 takes the conductor tension output by the sag tension calculation module 221, ground anchor installation parameters, geological conditions, and construction scene parameters as input. Through a three-dimensional mechanical model, the ground anchor stress calculation module 222 decomposes the conductor tension into horizontal component, vertical component, and lateral component, and calculates the total stress and safety factor of the ground anchor by combining the interaction between the ground anchor and the soil, that is, the uplift force is equal to the soil cohesion plus friction plus the self-weight of the ground anchor.

[0141] The netting span calculation module 225 calculates the design parameters of the netting for scenes such as crossing high-speed rail and rivers, to ensure the dynamic safety distance of the conductor and the crossed object. The netting span calculation module 225 outputs the netting material, height, span, and support fixing method.

[0142] Specifically, the netting span calculation module 225 takes the conductor sag output by the sag tension calculation module 221, the crossed object information, the ground anchor reliability output by the ground anchor stress calculation module 222, and real-time meteorological parameters as input. Through a dynamic safety distance algorithm, the netting span calculation module 225 calculates the minimum clearance distance between the conductor and the netting, and between the netting and the crossed object, by considering the conductor static sag height, horizontal offset caused by wind deflection, and netting deformation.

[0143] The stringing length calculation module 223 calculates the actual deployment length of the conductor and ground wire to avoid construction interruption caused by material waste or shortage. The stringing length calculation module 223 outputs the total deployment length of the conductor and ground wire, and material procurement suggestions.

[0144] Specifically, the stringing length calculation module 223 takes the sag, span, height difference, fitting parameter, and environmental compensation parameter output by the sag tension calculation module 221 as input. By piecewise integration, the conductor sag curve is segmented by span, and the arc length of each segment is calculated by an integral formula. The theoretical curve length of the conductor under the current working condition is obtained by accumulation. Through a multi-factor compensation algorithm, the actual deployment length is finally obtained by adding the fitting reserved length, temperature compensation, and tension compensation.

[0145] The continuous climbing gear calculation module 224 solves the risk of upward movement and groove dropping caused by uneven tension of the guide wire in the high-difference terrain of mountainous areas, and outputs a targeted adjustment scheme. The output result of the continuous climbing gear calculation module 224 can include a tension unevenness risk level and a targeted adjustment scheme.

[0146] Specifically, the continuous climbing gear calculation module 224 takes the basic tension data of the sag tension calculation module 221, the height difference of the guide wire hanging point, and the parameters of the trolley as inputs. The coupling analysis algorithm considers the tension distribution difference caused by the height difference and the influence of the component force of the guide wire self-weight at the same time. The coupling equation can calculate the tension difference threshold value, judge whether the calculated tension distribution difference exceeds the tension difference threshold value, and if it exceeds, it is possible to upward movement or groove dropping, and output an adjustment scheme: the tower height needs to be adjusted or a strain tower needs to be added.

[0147] As shown in Figure 4 The five sub-modules are not isolated, but form a ring-like calculation chain through data transmission with the sag tension calculation module 221 as the core, to ensure the consistency and relevance of the results. The output of the ground anchor stress calculation module 222 acts on the netting span calculation module 225, and the netting support needs to be fixed by the ground anchor. If the ground anchor is not safe, the netting design is invalid. The adjustment scheme of the continuous climbing gear module is fed back to the sag tension calculation module 221 and the stringing length calculation module 223, to recalculate the adjusted sag tension and basic line length, and ensure the adaptation of the full link parameters.

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

[0149] The user inputs the basic data 11: the line length is 15km, the tower coordinate, and the guide wire type LGJ-400 / 35.

[0150] The initial meteorological conditions are set: 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; it is recommended to use a 5t ground anchor with a safety factor of 2.1; the safety distance of crossing the highway is checked to meet the requirements; and the stringing length is determined to be 15028m.

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

[0153] In order to make the purpose, technical scheme and advantages of the present application more clear and obvious, the following will be described in detail with another specific power transmission line stringing construction section.

[0154] Assuming an embodiment of N1-N2-N3-N4 four towers, a certain 500kV power transmission line project, the stringing construction section contains N1, N2, N3, N4 four towers. Among them, N1 to N2 is a general span, N2 to N3 is across a highway, N3 to N4 is a continuous climbing section, the terrain elevation difference is large, and tension stringing method is planned to be used for construction.

[0155] System initialization and data entry, the user starts the system, creates a new project "500kV XX line N1-N4 stringing section" through the working condition input window 31 interface. The user provides the table import or manual entry function through the working condition input window 31 to store the following data to the unified engineering database 1:

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

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

[0158] Weather conditions: according to the requirements of engineering design, the following working conditions are entered: air temperature: -10℃, 0℃, +10℃, +20℃ (installation), +40℃ (maximum temperature). Wind speed: 0m / s (no wind), 5m / s (installation wind speed), 10m / s, 15m / s, 23.5m / s (maximum wind). Ice cover: 0mm, 5mm, 10mm.

[0159] Geological information: near N3 (tension field) and N4 (traction field), the soil category is "hard plastic clay" and the allowable bearing capacity is 150kPa.

[0160] Crossed object information: between N2-N3 section, across "XX highway", the crossing point is 200 meters away from N2 tower, and the road surface elevation is +50.0m. The minimum safety distance required by the highway (from the top of the fence to the road surface) is 8.5 meters.

[0161] The logic calculation module 2 executes the flowchart, the user clicks the "one-click calculation" button of the working condition input window 31, or starts the calculation in sequence. The data flow and logic association engine 21 starts to calculate 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, which is triggered by user operation or data update.

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

[0164] The construction result data output to the visualization module 3 includes the calculated conductor horizontal tension H, sag f and equivalent line length representing the span under each section of each working condition. The output example is as follows: under the working condition of +20℃ and no wind, N1-N2 section: horizontal tension H=21500N, maximum sag f=12.5m. N2-N3 section: horizontal tension H=21500N, maximum sag f=15.8m. N3-N4 section: horizontal tension H=21500N, maximum sag f=9.2m. These results are automatically written into a shared result area and immediately marked as ready by the data flow and logic association engine 21 for use by the logic calculation chain 22.

[0165] The ground anchor force calculation module 222 is automatically triggered by the data flow and logic association engine 21 after detecting that the sag tension calculation module 221 has completed the calculation of the installation working condition of +20℃ and no wind. That is, first, read the construction layout (user preset): the tension field is set at the N3 tower, the traction field is set at the N4 tower, and the N2 tower is a turning tower. Then, read the horizontal tension H=21500N of the N2-N3 section and the N3-N4 section under the installation working condition from the shared result area. According to the number of pulley blocks, the turning angle, and assuming that the turning angle of the N2 tower is 15° and the friction coefficient of the trolley is 1.02 to 1.05, the force analysis is carried out.

[0166] N3 tower (tension field) main tension anchor pile: force F=k*H*n, k is the dynamic load coefficient, take 1.1; n is the number of sub-conductors, which is 4 in this example, F=1.1*21500N*4=94,600N, according to this force value and the "hard plastic clay" geological information of the N3 tower site in the 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 (turning tower) turning anchor: force F=2*H*sin(θ / 2) (θ is the turning 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: force F=k*H*n*μ`, k is the dynamic load coefficient, the traction start / brake impact is larger, take 1.2; H single row horizontal tension takes 21500N; n is the number of sub-conductors, which is 4 in this example; μ` is the friction correction coefficient of traction guide pulley, take 1.03, F=1.2*21500N*4*1.03≈105,456N, the system reads the engineering database, the N4 tower site geology is "medium dense sand", the soil uplift resistance is lower than that of hard plastic clay; match the anchor database, recommend "5 ton combined spiral ground anchor group", and suggest the burial depth of 3.0 meters.

[0169] The safety factors of all ground anchors are displayed in the visualization interface and compared with the required values of the specification, green indicating qualification and red indicating unqualification requiring adjustment.

[0170] The fence crossing calculation module 225 is triggered in parallel with the ground anchor stress calculation module 222, because it also depends on the output of the sag tension calculation module 221. Specifically, the fence crossing calculation module 225 reads the sag data f=15.8m of N2-N3 row, and the hanging point elevation of N2, N3 tower. The elevation of the conductor at the crossing point (200 meters away from N2 tower) is calculated, and compared with the highway road surface elevation + safety distance requirement.

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

[0172] The check result is: 69.5m>58.5m, the check passes. The system displays a green check mark on the visualization interface of the plan view at the crossing point.

[0173] Simulation scenario: if the user switches the working condition to +40℃ highest temperature, the system will instantly recalculate, at this time the sag increases, the conductor elevation may decrease to +65.0m, although it is still higher than +58.5m, but the safety margin decreases, the system may give a yellow warning prompt.

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

[0175] The continuous climbing section calculation module 224 calculates that in the installation condition, the vertical component of the N3 tower (high point) is the uplift force 1800N, and the vertical component of the N4 tower (low point) is the downward force 5200N. Output warning: "N3 tower has the risk of conductor uplift, it is recommended to take measures such as line pressure pulley."

[0176] At the same time, the accurate line length considering the real curve shape is calculated, which is 0.15m more than the line length calculated according to the oblique parabola. This "line length adjustment amount + 0.15m" is automatically transmitted to the next module.

[0177] The stringing length calculation module 223 is the end of the logical calculation chain 22, which waits for the output of the sag tension calculation module 221 and the continuous climbing section calculation module 224. The total length of the four sub-conductors is calculated by comprehensively considering all factors.

[0178] Detailed calculation of the basic line length: the sum of the line lengths of each section provided by the sag tension calculation module 221. Climbing adjustment: add +0.15m from the continuous climbing section module. Process adjustment: consider the insulation string skew, pulley lifting, distance from the conductor outlet to the anchor pile, etc., and assume the total is +25m. Crimping allowance: according to the hydraulic scheme, each conductor needs to reserve +1.0m*6 crimping pipes =+6m.

[0179] Final output: total length = basic line length + climbing adjustment + process adjustment + crimping allowance. The system outputs the value accurate to two decimal places, for example: =1856.47 meters. At the same time, output: it is recommended to set a line pressure pulley at the N3 tower to prevent the conductor from being uplifted.

[0180] Decision support and scheme optimization, all calculation results are concentrated on the visualization interface. The user's most core operation is to use the working condition simulation function. When the user is worried about what to do if there is a strong wind during construction, the user can modify 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 logical association engine 4 captures this change, immediately judges that this change will affect the calculation of sag and tension. The data flow and logical association engine 4 automatically re-triggers the sag tension calculation module 221 to calculate the tension and sag under the new wind load. Subsequently, the ground anchor stress calculation module 222, the fence crossing calculation module 225 and the continuous climbing section calculation module 224 are automatically triggered in a chain.

[0182] Instant feedback: the visual interface is refreshed, showing that the horizontal tension increases from 21500N to 28500N at a wind speed of 15m / s. The ground anchor stress calculation module 222 sends a red warning through the visual interface: "N3 tower main tension machine ground anchor stress has exceeded the limit, the safety factor is insufficient! It is recommended to upgrade to a 5-ton ground anchor." The fence crossing calculation module 225 displays through the visual interface: "The distance between the crossing point conductor and the fence decreases after wind deflection, but still meets the requirements (yellow warning)." The wire length calculation module 223 displays through the visual interface that the line length has slightly shortened due to the increase in tension.

[0183] Through the above detailed and dynamic feedback, the construction person in charge can make a scientific decision before construction: "In order to cope with possible strong wind weather, we must upgrade the ground anchor scheme of N3 tension field from 3 tons to 5 tons." This greatly enhances the forward-looking and safety of the construction scheme.

[0184] Through the implementation of the system, the calculation process is automated, avoiding manual data transmission and repeated calculation in traditional methods; the unified data source ensures the consistency of the calculation results of each link; the working condition simulation function shortens the scheme comparison and selection time from several hours to several minutes, greatly improving the decision-making efficiency; the automatic safety check effectively prevents construction risks and enhances the safety of construction; the embodiment fully demonstrates the technical advantages of the system in the whole cycle calculation and decision support, and provides scientific and efficient technical support for power line construction.

[0185] According to another aspect of the present application, an electronic device is also provided, comprising a processor and a memory storing a program, characterized in that the program comprises instructions which, when executed by the processor, cause the processor to perform the data processing method and system for scene decision optimization of power line construction according to any one of the above.

[0186] According to another aspect of the present application, a non-transitory machine-readable medium storing computer instructions for causing the computer to perform the data processing method and system for scene decision optimization of power line construction according to any one of the above is also provided.

[0187] Embodiments of the present application also provide an electronic device, comprising at least one processor, and a memory in communication with the at least one processor. The above-mentioned memory stores a computer program capable of being executed by the above-mentioned at least one processor, and the above-mentioned computer program, when executed by the above-mentioned at least one processor, is used to make the electronic device execute the method of the embodiments of the present application.

[0188] Reference Figure 5, a block diagram of an electronic device that can be a server or a client of an embodiment of the present invention will now be described, which is an example of a hardware device that can be applied to aspects of the present invention. The electronic device is intended to represent various forms of digital electronic computing devices such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computing devices. The electronic device can also represent various forms of mobile devices such as personal digital processing, cellular telephones, smart phones, wearable devices, and other similar computing devices. The components, their connections, and their functions, as shown in the figures, and their functions, are merely examples and are not intended to limit implementations of the present invention described and / or claimed herein.

[0189] As shown in FIG. 5, Figure 5 The electronic device includes a computing unit 501 that can perform various appropriate actions and processes in accordance with a computer program stored in a read only memory (ROM) 502 or a computer program loaded into a random access memory (RAM) 503 from a storage unit 508. Various programs and data required for operation of the electronic device can also be stored in the RAM 503. The computing unit 501, the ROM 502, and the RAM 503 are connected to each other through a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0190] Various components in the electronic device are connected to the I / O interface 505, including an input unit 506, an output unit 507, the storage unit 508, and a communication unit 509. The input unit 506 can be any type of device that can input information to the electronic device, and can receive inputted digital or character information, and generate key signal inputs related to user settings and / or function controls of the electronic device. The output unit 507 can be any type of device that can present information, and can include, but is not limited to, a display, a speaker, a video / audio output terminal, a vibrator, and / or a printer. The storage unit 508 can include, but is not limited to, a magnetic disk, an optical disk. The communication unit 509 allows the electronic device to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks, and can include, but is not limited to, a modem, a network card, an infrared communication device, and / or a wireless communication transceiver, such as a Bluetooth device, a WiFi device, a WiMax device, a cellular communication device, and / or the like.

[0191] The computing unit 501 can be various general 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 specialized artificial intelligence (AI) computing units, various computing units running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, or the like. The computing unit 501 performs various methods and processes described above. For example, in some embodiments, the method embodiments of the present creation can be implemented as a computer program tangibly embodied in a machine-readable medium, such as the storage unit 508. In some embodiments, portions or all of the computer program can be loaded and / or installed onto the electronic device via the ROM 502 and / or the communication unit 509. In some embodiments, the computing unit 501 can be configured, by way of other any suitable means, such as by way of firmware, to perform the methods described above.

[0192] Computer programs used to implement methods of the present creation embodiments can be written in any combination of one or more programming languages. These computer programs can be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer program, when executed, enables the functions / operations specified in the flow charts and / or block diagrams to be implemented. The computer program can be executed in whole on a machine, partially on a machine, partially on a machine as a stand-alone 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 the present creation embodiments, a machine-readable medium can be a tangible medium that can contain or store the program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable signal medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, or infrared signals, or any suitable combination thereof. More specific examples of a machine-readable storage medium will include one or more lines of electrical connections, portable computer disks, hard disk drives, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or Flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0194] It should be noted that the term "comprising" and its derivations, as used in the embodiments of the present invention, are intended to be open-ended, that is, "comprising" means "including but not limited to". The term "based on" is intended to mean "based, at least in part, on" unless explicitly stated otherwise. The term "one embodiment" is intended to mean "at least one embodiment" and the term "another embodiment" is intended to mean "at least one additional embodiment". The term "some embodiments" is intended to mean "at least some embodiments". The terms "a" and "an", as used in the embodiments of the present invention, are intended to be interpreted to mean "one or more" unless explicitly stated otherwise.

[0195] The user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the embodiments of the present invention are information and data authorized by the user or authorized by all parties, and the collection, use and processing of related data need to comply with relevant laws, regulations and standards of relevant countries and regions, and corresponding operation portals are provided for the user to choose authorization or rejection.

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

[0197] The word "embodiment" in the specification refers to the specific features, structures or characteristics described in connection with the embodiment can be included in at least one embodiment of the present invention. The presence of this phrase in various places in the specification does not necessarily mean the same embodiment, nor does it mean independence or choice from other embodiments. Each embodiment in the specification is described in a relevant manner, and the same or similar parts between each embodiment are cross-referenced. In particular, for device, equipment, system embodiments, since they are basically similar to method embodiments, the description is relatively simple, and the relevant parts are referred to the part of the method embodiment.

[0198] The above-described embodiments only express several embodiments of the present invention, and the description is more specific and detailed, but it cannot be understood as a limitation on the scope of protection. It should be noted that for ordinary skilled persons in the art, without departing from the concept of the present invention, a number of modifications and improvements can be made, which are within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be subject to the appended claims.

Claims

1. A data processing method for scenario decision optimization of electric power stringing construction, characterized in that, The method comprises the following steps: According to the basic data of the construction subject and the construction environment involved in the power line construction, a parameter matrix of multiple scenes is constructed, and a decision task of each scene is generated; For the decision task, through the data flow and logic association engine, the construction result data is calculated according to the set logic calculation chain; wherein the logic calculation chain comprises a plurality of result calculation modules which are calculated in a set order, the result calculation module is used to calculate the corresponding construction result data, and the construction result data comprises result parameters and a construction scheme recommended according to the result parameters; The construction result data is displayed through a visual interface, and a working condition input window is provided on the visual interface; Based on the limit construction scene parameters input by the working condition input window, the parameter matrix is updated, and the updated construction result data is calculated; According to the updated construction result data and the preset safety rule library, the safety is checked, and in the case of not passing the check, the construction scheme is optimized based on the parameter matrix.

2. The method of claim 1, wherein, For the decision task, according to the set logic calculation chain, the construction result data is calculated, including: Through the sag tension calculation module, based on the meteorological conditions and the conductor parameters of the decision task, the spatial form and mechanical state of the conductor are solved by using the catenary equation, and the sag and tension are output; Through the ground anchor stress calculation module cooperating with the sag tension calculation module, based on the tension, the comprehensive stress of the ground anchor is simulated and calculated by a three-dimensional mechanical model, and the safety factor is checked to recommend the ground anchor model; Through the netting span calculation module cooperating with the ground anchor stress calculation module, based on the conductor sag and the information of the spanned object, the dynamic safety distance algorithm is applied to check the clearance and generate the netting design parameters; Through the stringing length calculation module cooperating with the sag tension calculation module, the actual length of the ground conductor is accurately calculated by using the piecewise integral and multi-factor compensation algorithm, considering the sag, elevation difference and fitting parameter; In the case that the decision task has conductor hanging point elevation difference, through the continuous climbing section calculation module, the risk of upward and slotting caused by uneven tension is identified for the elevation difference terrain by using the coupling analysis algorithm, and the adjustment scheme is output; The result calculation module comprises the sag tension calculation module, the ground anchor stress calculation module, the stringing length calculation module, the continuous climbing section calculation module and the netting span calculation module.

3. The method of claim 1, wherein, Based on the limit construction scene parameters input by the working condition input window, the parameter matrix is updated, and the updated construction result data is calculated, including: The numerical value of the corresponding parameter item in the parameter matrix is modified to the numerical value of the limit construction scene parameter to update the parameter matrix; According to the updated parameter matrix, a new scene decision task is generated; For each decision task, the logic calculation chain is re-input to calculate the updated construction result data; According to the updated construction result data, the visual interface is updated.

4. The method of claim 1, wherein, According to the updated construction result data and the preset safety rule library, the construction safety is checked, and in the case of not passing the check, the construction scheme is optimized, including: In the case that the result calculation module in the logical calculation chain calculates the updated construction result data, the safety rule library is called to compare with the construction result data to determine whether the construction result data meets the relevant safety rules in the safety rule library, wherein the safety rule library includes a plurality of safety rules, and a safety rule includes at least one construction result data; In the case that the construction result data does not meet the safety rules, the relevant basic parameters corresponding to the construction result data that does not meet the safety rules are determined according to the logical calculation chain; The updated relevant basic parameters are selected according to the adjustment range corresponding to the relevant basic parameters and the calculation relationship between the safety rules and the construction result; 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 meets the safety rules, and an optimized construction scheme is obtained.

5. The method of claim 1, wherein, After comparing the updated construction result data with the preset safety rule library and performing safety verification, the method further includes: In the case that the safety verification passes, the optimal construction scheme is selected by comparing and evaluating the construction result data of a plurality of verified construction schemes according to the weight and ranking of each construction result data; A construction report and a material list are generated according to the optimal construction scheme, wherein the construction report includes a corresponding construction environment, and the material list includes a construction subject; Construction is performed based on the optimal construction scheme, and the construction result data is updated in real time according to the actual construction scheme, wherein the actual construction scheme includes a construction subject performing construction and a corresponding real-time construction environment; The updated construction result data is compared with the safety rule library to perform construction safety verification, and in the case that the verification fails, the construction scheme is warned and optimized.

6. The method of claim 1, wherein, The method further includes: The actual construction tools and real-time construction environment in the actual construction process are monitored in real time during the construction process to update the parameter matrix; Based on the updated parameter matrix, the corresponding updated construction result data is determined by calculation according to the logical calculation chain; The updated construction result data is verified in real time, and in the case that the verification fails, a warning is given in a set manner.

7. The method of claim 1, wherein, The basic data of the construction subject and the construction environment involved in the power line construction are obtained, including: In the design stage of the power line construction, the basic data is obtained according to the design data of the design scheme, wherein the optimized scheme obtained by the basic data is used to optimize the design scheme; In the field verification stage of the power line construction, the basic data is determined according to the actual construction subject and the construction environment, wherein the basic data is used to perform safety verification on the actual construction subject and the construction environment.

8. A data processing system for scenario decision optimization of power stringing construction, characterized in that, It includes: An engineering database is used to collect and update the basic data in real time, and a plurality of scene parameter matrices are constructed according to the basic data of the construction subject and the construction environment involved in the power line construction to generate decision tasks of each scene; A logic calculation module connected with the engineering database, configured to calculate construction result data according to a set logic calculation chain through a data flow and a logic association engine for the decision task; wherein the logic calculation chain comprises a plurality of result calculation modules for calculation in a set order, and the result calculation modules are configured to calculate corresponding construction result data, and the construction result data comprises result parameters and a construction scheme recommended according to the result parameters; A visualization module connected with the logic calculation module, configured to visualize the construction result data and provide a working condition input window on a visualization interface; The logic calculation module is further configured to update the parameter matrix based on limit construction scene parameters input through the working condition input window, and calculate updated construction result data; A verification module connected with the logic calculation module, configured to compare updated construction result data with a preset safety rule library for safety verification, and optimize the construction scheme if the verification fails.

9. The data processing system for scenario decision optimization of electric stringing construction according to claim 8, characterized in that, The logic calculation module comprises: A sag tension calculation module, configured to solve the spatial form and mechanical state of a conductor based on meteorological conditions and conductor parameters of the decision task by using a catenary equation, and output sag and tension; A ground anchor stress calculation module connected with the sag tension calculation module, configured to calculate the comprehensive stress of a ground anchor based on the tension through a three-dimensional mechanical model simulation, and verify a safety factor to recommend a ground anchor model; A netting span calculation module connected with the ground anchor stress calculation module, configured to check a clearance and generate netting design parameters based on conductor sag and information of a spanned object by using a dynamic safety distance algorithm; A stringing length calculation module connected with the sag tension calculation module, configured to accurately calculate the actual length of a ground conductor by using a piecewise integration and multi-factor compensation algorithm based on the sag, height difference and fitting parameter; A continuous climbing section calculation module, configured to identify the risk of upward movement and slot dropping caused by uneven tension for a height difference terrain by using a coupling analysis algorithm if the decision task has a conductor hanging point height difference, and output an adjustment scheme.

10. An electronic device comprising: A processor and a memory storing programs, characterized in that the programs comprise instructions which, when executed by the processor, cause the processor to execute the method according to any one of claims 1 to 8.

11. A non-transitory machine-readable medium having stored thereon computer instructions, wherein: The computer instructions are configured to cause the computer to execute the method according to any one of claims 1 to 8.

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