Cable construction scheduling method

Abstract

The invention relates to the field of cable construction, and provides a cable construction scheduling method, which comprises the following steps: S1, constructing a mathematical model for cable construction scheduling; s2, collecting and preprocessing data; s3, intelligent optimization algorithm application: selecting or designing an intelligent optimization algorithm suitable for a cable construction scheduling problem; s4, a scheduling scheme is generated and adjusted, and a result is output according to an intelligent optimization algorithm; s5, dynamic adjustment and monitoring are carried out; and S6, construction effect evaluation and feedback. Through the above scheduling method, the situation that a traditional cable construction scheduling method mainly depends on artificial experience and makes decisions on construction progress, resource allocation and personnel coordination through field management personnel in the background technology is effectively improved. However, the method has many defects, such as low decision-making efficiency, slow response speed, and easy occurrence of resource waste and progress delay.

Description

Technical Field

[0001] The invention relates to the field of cable construction, and in particular to a cable construction scheduling method. Background Art

[0002] With the rapid development of the power industry, cable construction has become an indispensable key link in modern power engineering. The correct laying of cables is not only related to the stable operation of the power grid, but also directly affects the quality and safety of the project. However, in the process of cable construction, there are many challenges, such as complex construction site environment, changeable construction conditions, long construction period, and a large number of participants, which have brought great difficulties to the scheduling and management of cable construction.

[0003] The traditional cable construction scheduling method mainly relies on manual experience, and on-site managers make decisions on construction progress, resource allocation and personnel coordination. However, this method has many disadvantages, such as low decision-making efficiency, slow response speed, easy waste of resources and progress delays, especially in large and complex cable engineering projects, these problems are particularly prominent, seriously affecting the progress and quality of the project. Therefore, in view of the above situation, it is urgent to develop a cable construction scheduling method to overcome the shortcomings in current practical applications. Summary of the invention

[0004] The present invention provides a cable construction scheduling method to solve the problem that the traditional cable construction scheduling method proposed in the above background technology mainly relies on manual experience, and the on-site management personnel make decisions on the construction progress, resource allocation and personnel coordination. However, this method has many disadvantages, such as low decision-making efficiency, slow response speed, and easy waste of resources and progress delays.

[0005] In order to solve the above problems, the present invention discloses a cable construction scheduling method, comprising:

[0006] Step S1: construct a mathematical model for cable construction scheduling. According to the actual needs of cable construction, a mathematical model with multiple objectives or multiple constraints is constructed;

[0007] Step S2: Data collection and preprocessing, collecting various data related to cable construction, and performing data cleaning, sorting, and conversion operations;

[0008] Step S3: Application of intelligent optimization algorithm: select or design an intelligent optimization algorithm suitable for the cable construction scheduling problem, solve the cable construction scheduling model, and use the intelligent optimization algorithm to solve the mathematical model. Through the iterative search process of the algorithm, find a scheduling solution that meets all constraints and has the optimal or approximately optimal objective function;

[0009] Step S4: Scheduling plan generation and adjustment: Generate a specific cable construction scheduling plan based on the output results of the intelligent optimization algorithm. At the same time, further refine and adjust the scheduling plan based on the actual situation of the construction site to ensure its operability and practicality.

[0010] Step S5: Dynamic adjustment and monitoring: During the construction process, the construction progress and resource status are monitored in real time, and the scheduling plan is dynamically adjusted according to the actual situation;

[0011] Step S6: Construction effect evaluation and feedback. After the cable construction is completed, a comprehensive evaluation is conducted on the construction effect. The evaluation results are compared and analyzed with the expected goals. Experience and lessons are summarized to form feedback. The feedback is input into the intelligent optimization algorithm to continuously optimize and improve the algorithm.

[0012] Preferably, in step S1, the mathematical model includes:

[0013] S11. Clarify the model objectives: minimize construction time, minimize construction costs, and maximize construction safety;

[0014] S12. Define decision variables;

[0015] S13, establishing an objective function;

[0016] S14, setting constraints, wherein the constraints include: resource constraints, time constraints and security constraints;

[0017] S15. Model solution: verify and adjust the model according to actual construction data.

[0018] 3. According to a cable construction scheduling method according to claim 1, in step S2, the data collection and preprocessing includes:

[0019] S21, data acquisition unit: using sensors and monitoring equipment to collect real-time data on various parameters, status and performance during the cable construction process, and at the same time collect and organize relevant data from previous cable construction projects, so as to provide a basis for experience reference and comparative analysis for current construction;

[0020] S22, data cleaning unit: identify and delete duplicate data records to ensure the uniqueness of the data, check for errors or abnormal values ​​in the data, and finally remove invalid data that is meaningless to cable construction scheduling or affects the analysis results;

[0021] S23, Data Arrangement and Classification Unit: According to the needs of construction scheduling, the cleaned data is screened and sorted, and then the screened data is classified to establish a clear classification system, and finally an appropriate data storage structure and storage system are established to archive and store the sorted data;

[0022] S24, Data Standardization Unit: Convert data from different sources and formats into a unified format, and then perform coding and standardization on the data;

[0023] S25, Data preprocessing and analysis unit: Use statistical methods to conduct preliminary analysis of data to understand the distribution and trend of data, and then use data analysis technology to identify abnormal values ​​or abnormal patterns in the data to provide a basis for subsequent abnormal processing, and finally conduct quality assessment on the preprocessed data;

[0024] S26, Data Security and Sharing Unit: Take security measures such as data encryption, access control, backup and recovery to protect the confidentiality, integrity and availability of cable construction data. At the same time, establish a data sharing platform and mechanism to promote data sharing and collaborative work among different departments and units.

[0025] Preferably, in step S3, the intelligent optimization algorithm adopts a multi-objective optimization strategy, taking into account construction time, resource utilization and construction cost, and finally finds a set of balanced scheduling solutions for decision makers to choose through Pareto frontier analysis.

[0026] Preferably, in step S5, the dynamic adjustment of the scheduling scheme includes three aspects: feedback control based on construction progress, dynamic scheduling based on resource status, and emergency response based on emergencies.

[0027] Preferably, in step S6, the construction effect evaluation adopts a method combining quantitative analysis and qualitative evaluation, and evaluates construction efficiency, resource utilization, and construction cost by comparing actual construction data with expected target data, and performs a comprehensive evaluation in combination with expert review and user feedback.

[0028] Preferably, it also includes: a user interaction interface for displaying the mathematical model of cable construction scheduling, the algorithm operation process, the scheduling plan and the construction effect evaluation results, so as to facilitate users to set parameters, select plans and view results.

[0029] Preferably, the user interaction interface further includes: a knowledge base module for storing historical data, successful cases, common problems and solutions of cable construction scheduling to provide reference and reference for users.

[0030] Preferably, the cable construction scheduling method is also applicable to other types of construction scheduling problems, such as road construction, bridge construction, and pipeline construction. It is only necessary to adjust and optimize the mathematical model and intelligent optimization algorithm accordingly according to the characteristics and requirements of the specific construction project.

[0031] Preferably, the cable construction scheduling method further includes: a computer-readable storage medium having a computer program stored thereon, the program being executed by a processor to implement the cable construction scheduling optimization method described in S1-S6.

[0032] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0034] Figure 1 is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0035] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0036] In addition, in the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes, and do not specifically refer to the order or sequence, nor are they used to limit the present invention. They are only used to distinguish components or operations described with the same technical terms, and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions and technical features between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0037] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments.

[0038] The present invention provides the following embodiments

[0039] Embodiment 1, the embodiment of the present invention provides a cable construction scheduling method, such as Figure 1 As shown, including:

[0040] Step S1: construct a mathematical model for cable construction scheduling, and construct a mathematical model with multiple objectives or multiple constraints according to the actual needs of cable construction;

[0041] Step S2: Data collection and preprocessing, collecting various data related to cable construction, and performing data cleaning, sorting, and conversion processing operations;

[0042] Step S3: Application of intelligent optimization algorithm, selecting or designing an intelligent optimization algorithm suitable for the cable construction scheduling problem, solving the cable construction scheduling model, and using the intelligent optimization algorithm to solve the mathematical model, through the iterative search process of the algorithm, find a scheduling solution that satisfies all constraints and has an optimal or approximately optimal objective function;

[0043] Step S4: Generation and adjustment of scheduling scheme: Generate a specific cable construction scheduling scheme based on the output results of the intelligent optimization algorithm. At the same time, further refine and adjust the scheduling scheme according to the actual situation of the construction site to ensure its operability and practicality.

[0044] Step S5: Dynamic adjustment and monitoring: During the construction process, the construction progress and resource status are monitored in real time, and the scheduling plan is dynamically adjusted according to the actual situation;

[0045] Step S6: Construction effect evaluation and feedback. After the cable construction is completed, a comprehensive evaluation is conducted on the construction effect. The evaluation results are compared and analyzed with the expected goals. Experience and lessons learned are summarized to form feedback. The feedback is input into the intelligent optimization algorithm to continuously optimize and improve the algorithm.

[0046] The beneficial effects of the above technical solution are: by constructing a mathematical model for cable construction scheduling, then collecting and processing the relevant data of the cable, then finding the optimal scheduling solution through an intelligent optimization algorithm, and then generating the final result of the case, while making real-time adjustments and monitoring at the construction site, and finally evaluating and giving feedback on the construction effect, so as to input the feedback into the intelligent optimization algorithm, and continuously optimizing and improving the algorithm. This effectively improves the background technology proposed: the traditional cable construction scheduling method mainly relies on manual experience, and the on-site management personnel make decisions on the construction progress, resource allocation and personnel coordination. However, this method has many disadvantages, such as low decision-making efficiency, slow response speed, and technical problems such as waste of resources and delays in progress.

[0047] Embodiment 2, based on embodiment 1, in step S1, the mathematical model includes:

[0048] S11. Clarify the model objectives: minimize construction time, minimize construction costs, maximize construction safety, and optimize resource utilization;

[0049] S12. Define decision variables;

[0050] S13, establishing an objective function;

[0051] S14, setting constraints, wherein the constraints include: resource constraints, time constraints and security constraints;

[0052] S15. Model solution: verify and adjust the model according to actual construction data to ensure the accuracy and practicality of the model.

[0053] Optionally, in step S2, the data collection and preprocessing includes:

[0054] S21, data acquisition unit: using sensors and monitoring equipment to collect real-time data on various parameters, status and performance during the cable construction process, and at the same time collect and organize relevant data from previous cable construction projects, so as to provide a basis for experience reference and comparative analysis for current construction;

[0055] S22, data cleaning unit: identify and delete duplicate data records to ensure the uniqueness of the data, check for errors or abnormal values ​​in the data (such as data that exceeds a reasonable range, mark, remove or correct according to rules), and finally remove invalid data that is meaningless to cable construction scheduling or affects the analysis results;

[0056] S23, Data sorting and classification unit: According to the needs of construction scheduling, the cleaned data is screened and sorted (in order to better organize and manage the data, for example, it can be sorted according to key fields such as cable type, specification, laying path, etc.), and then the screened data is classified to establish a clear classification system (for subsequent data analysis and utilization), and finally an appropriate data storage structure and storage system are established to archive and store the sorted data (to ensure the integrity and accessibility of the data);

[0057] S24, Data Standardization Unit: Convert data from different sources and formats into a unified format (to ensure that all data units are consistent for unified processing and analysis, and avoid unit conversion errors during data analysis), and then encode and standardize the data (to maintain consistency and accuracy during data sharing and exchange);

[0058] S25, Data preprocessing and analysis unit: Use statistical methods to conduct preliminary analysis of the data to understand the distribution and trend of the data, and then use data analysis technology to identify abnormal values ​​or abnormal patterns in the data to provide a basis for subsequent abnormal processing, and finally conduct quality assessment of the preprocessed data (to ensure that the preprocessing results meet the needs of construction scheduling);

[0059] S26, Data Security and Sharing Unit: Take security measures such as data encryption, access control, backup and recovery to protect the confidentiality, integrity and availability of cable construction data. At the same time, establish a data sharing platform and mechanism to promote data sharing and collaborative work among different departments and units (improve the value and utilization efficiency of data).

[0060] Optionally, the data collection and preprocessing also includes: real-time monitoring of the construction site and remote data collection to obtain the latest construction status and environmental change information, providing real-time data support for the dynamic adjustment of the scheduling plan.

[0061] The beneficial effects of the above technical solution are as follows: through the data deduplication, error data detection and correction, and invalid data filtering of the data cleaning unit, the accuracy of the data can be significantly improved, providing a reliable basis for subsequent data analysis and construction scheduling; the data standardization unit ensures the consistency of the data format, unit and coding, avoiding analysis errors caused by inconsistent data format or unit conversion errors; the data sorting and classification unit makes the data more orderly through data screening, sorting and classification, which is convenient for subsequent data analysis and utilization; the data security and sharing unit is also responsible for establishing appropriate data storage structure and storage system to ensure the integrity and accessibility of the data, and provide convenient data for construction scheduling. Support; the data preprocessing and analysis unit uses statistical methods to conduct preliminary analysis of the data, revealing the distribution and trend characteristics of the data, and providing strong data support for construction scheduling decisions; each link of data collection and preprocessing can be achieved through automated and intelligent technical means, reducing manual intervention and improving work efficiency; the data security and sharing unit promotes data sharing and collaborative work among different departments and units by establishing a data sharing platform and mechanism, improving overall work efficiency and data utilization efficiency; the data security and sharing unit adopts security measures such as data encryption, access control, backup and recovery to ensure the confidentiality, integrity and availability of cable construction data, and prevent data leakage and illegal access.

[0062] Example 3, based on Example 1 or 2, a cable construction scheduling method is described. In step S3, the intelligent optimization algorithm adopts a multi-objective optimization strategy, while considering construction time, resource utilization and construction cost, and finally finds a set of balanced scheduling solutions for decision makers to choose through Pareto frontier analysis.

[0063] Optionally, in step S5, the dynamic adjustment of the scheduling scheme includes three aspects: feedback control based on construction progress, dynamic scheduling based on resource status, and emergency response based on emergencies, so as to ensure the stability and safety of the construction process.

[0064] Optionally, in step S6, the construction effect evaluation adopts a method that combines quantitative analysis and qualitative evaluation to evaluate construction efficiency, resource utilization, and construction cost by comparing actual construction data with expected target data, and conducts a comprehensive evaluation in combination with expert review and user feedback.

[0065] Optionally, it also includes: a user interaction interface for displaying the mathematical model of cable construction scheduling, the algorithm operation process, the scheduling plan and the construction effect evaluation results, so as to facilitate users to set parameters, select plans and view results.

[0066] Optionally, the user interaction interface also includes: a knowledge base module for storing historical data, successful cases, common problems and solutions of cable construction scheduling, providing reference and reference for users, and improving the scientificity and standardization of construction scheduling.

[0067] Optionally, the cable construction scheduling method is also applicable to other types of construction scheduling problems, such as road construction, bridge construction, and pipeline construction. It is only necessary to adjust and optimize the mathematical model and intelligent optimization algorithm accordingly according to the characteristics and requirements of the specific construction project.

[0068] Optionally, the cable construction scheduling method further includes: a computer-readable storage medium having a computer program stored thereon, wherein the program is executed by a processor to implement the cable construction scheduling optimization method described in S1-S6.

[0069] The beneficial effects of the above technical solution are as follows: by adopting an intelligent optimization algorithm with a multi-objective optimization strategy, the method can comprehensively consider multiple key factors such as construction time, resource utilization and construction cost, so as to find a set of balanced scheduling solutions. This balance ensures the smoothness of the construction process, effectively avoids the inefficiency caused by single-objective optimization, and improves the overall construction efficiency;

[0070] During the scheduling process, the intelligent optimization algorithm will dynamically adjust the scheduling plan based on the real-time feedback of the construction progress, the dynamic changes in resource status, and the emergency response to unexpected events. This flexibility ensures the rational allocation and efficient use of resources, reduces resource waste, and reduces construction costs.

[0071] The dynamic adjustment mechanism not only focuses on construction efficiency and resource utilization, but also attaches great importance to the stability and safety of the construction process. Through timely feedback and response, this method can effectively prevent and solve problems that may be encountered during construction, reduce the probability of safety accidents, and ensure the safety of construction workers;

[0072] Through Pareto frontier analysis, this method provides decision makers with a set of balanced scheduling solutions rather than a single solution, which increases the flexibility and scientificity of decision-making and enables decision makers to select the most appropriate solution for implementation based on actual conditions and needs;

[0073] The introduction of the user interaction interface enables the mathematical model of cable construction scheduling, algorithm operation process, scheduling plan and construction effect evaluation results to be intuitively displayed to relevant personnel, which not only improves the transparency of construction management, but also makes construction management more standardized and scientific;

[0074] The setting of the knowledge base module provides a wealth of historical data, successful cases, common problems and solutions for cable construction scheduling, which not only helps to solve the problems encountered in the current construction, but also provides reference for future construction scheduling and promotes the accumulation and inheritance of construction scheduling knowledge;

[0075] Improve the applicability of construction scheduling. This method is not only applicable to cable construction scheduling problems, but can also be flexibly applied to other types of construction scheduling problems, such as road construction, bridge construction, pipeline construction, etc., by adjusting and optimizing mathematical models and intelligent optimization algorithms. This wide applicability makes this method more flexible and has greater application value in actual construction.

[0076] Embodiment 4, based on Embodiments 1-3, the cable construction scheduling method further includes calculating the cable power loss by introducing the concept of annual full-load equivalent operating hours of the wind farm (using wind energy is an effective method for OGP power supply, and the energy generated by each wind turbine is collected through submarine cables and finally flows into the transformer on the OGP platform);

[0077] Optionally, the power loss P of a single cable can be calculated according to formula (1): d :

[0078]

[0079] Where P f is the rated power of the wind turbine, P i is the power of the cable from node i to the wind farm, cosθ is the power factor, U e is the rated voltage of the floating cable, R is the resistance of cable i, L is the length of cable i, E d is the annual average power generation and power generation capacity of the wind farm, P d The power generation capacity of the wind farm;

[0080] Step 2: According to the following formula (2), the actual total cable life loss K is calculated. The controller compares the actual total cable life loss K with the preset total cable life loss range. When the actual total cable life loss is higher than the preset total cable life loss range, the controller controls the alarm to sound an alarm:

[0081]

[0082] Where Qi,j,k It is expressed as node j connected to node i and transmitting the energy of k wind turbines, C is the unit cost of dynamic cable when transmitting through k wind turbines, X is the life of the wind farm, Z is the price of electricity transmitted in the cable, Y is the unit trenching cost of the cable (the unit length cost required to dig the cable trench for laying the cable during the cable laying process), and N is the total number of nodes.

[0083] The beneficial effects of the above technical solution are as follows: the controller calculates the power loss of a single cable based on the formula (1) and comprehensively considers the rated power of the wind turbine, the power of the cable from node i to the wind farm, the power factor, the rated voltage of the floating cable, the resistance of cable i, the length of cable i, the annual average power generation and power generation capacity of the wind farm, and the power generation capacity of the wind farm, so that the calculation result is more accurate and reliable;

[0084] Then, according to formula (2), node j is connected to node i and transmits the energy of k wind turbines, the unit cost of the dynamic cable when transmitting through k wind turbines, the life of the wind farm, the price of electricity transmitted in the cable, and the unit trenching cost of the cable, the actual total cable life loss is calculated, so that the calculation result is more accurate and reliable;

[0085] The controller compares the actual total cable life loss with the preset total cable life loss range. When the actual total cable life loss is higher than the preset total cable life loss range, the controller controls the alarm to sound, thereby reminding the staff to inspect or replace the cable in time, thereby meeting the user's needs for this cable construction scheduling method.

[0086] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A cable construction scheduling method, characterized in that: include: Step S1: construct a mathematical model for cable construction scheduling. According to the actual needs of cable construction, a mathematical model with multiple objectives or multiple constraints is constructed; Step S2: Data collection and preprocessing, collecting various data related to cable construction, and performing data cleaning, sorting, and conversion operations; Step S3: Application of intelligent optimization algorithm: select or design an intelligent optimization algorithm suitable for the cable construction scheduling problem, solve the cable construction scheduling model, and use the intelligent optimization algorithm to solve the mathematical model. Through the iterative search process of the algorithm, find a scheduling solution that meets all constraints and has the optimal or approximately optimal objective function; Step S4: Scheduling plan generation and adjustment: Generate a specific cable construction scheduling plan based on the output results of the intelligent optimization algorithm. At the same time, further refine and adjust the scheduling plan based on the actual situation of the construction site to ensure its operability and practicality. Step S5: Dynamic adjustment and monitoring: During the construction process, the construction progress and resource status are monitored in real time, and the scheduling plan is dynamically adjusted according to the actual situation; Step S6: Construction effect evaluation and feedback. After the cable construction is completed, a comprehensive evaluation is conducted on the construction effect. The evaluation results are compared and analyzed with the expected goals. Experience and lessons are summarized to form feedback. The feedback is input into the intelligent optimization algorithm to continuously optimize and improve the algorithm.

2. A cable construction scheduling method according to claim 1, characterized in that: In step S1, the mathematical model includes: S11. Clarify the model objectives: minimize construction time, minimize construction costs, and maximize construction safety; S12. Define decision variables; S13, establishing an objective function; S14, setting constraints, wherein the constraints include: resource constraints, time constraints and security constraints; S15. Model solution: verify and adjust the model according to actual construction data.

3. A cable construction scheduling method according to claim 1, characterized in that: In step S2, the data collection and preprocessing includes: S21, data acquisition unit: using sensors and monitoring equipment to collect real-time data on various parameters, status and performance during the cable construction process, and at the same time collect and organize relevant data from previous cable construction projects, so as to provide a basis for experience reference and comparative analysis for current construction; S22, data cleaning unit: identify and delete duplicate data records to ensure the uniqueness of the data, check for errors or abnormal values ​​in the data, and finally remove invalid data that is meaningless to cable construction scheduling or affects the analysis results; S23, Data Arrangement and Classification Unit: According to the needs of construction scheduling, the cleaned data is screened and sorted, and then the screened data is classified to establish a clear classification system, and finally an appropriate data storage structure and storage system are established to archive and store the sorted data; S24, Data Standardization Unit: Convert data from different sources and formats into a unified format, and then perform coding and standardization on the data; S25, Data preprocessing and analysis unit: Use statistical methods to conduct preliminary analysis of data to understand the distribution and trend of data, and then use data analysis technology to identify abnormal values ​​or abnormal patterns in the data to provide a basis for subsequent abnormal processing, and finally conduct quality assessment on the preprocessed data; S26, Data Security and Sharing Unit: Take security measures such as data encryption, access control, backup and recovery to protect the confidentiality, integrity and availability of cable construction data. At the same time, establish a data sharing platform and mechanism to promote data sharing and collaborative work among different departments and units.

4. A cable construction scheduling method according to claim 1, characterized in that: In step S3, the intelligent optimization algorithm adopts a multi-objective optimization strategy, taking into account construction time, resource utilization and construction cost, and finally finds a set of balanced scheduling solutions for decision makers to choose through Pareto frontier analysis.

5. A cable construction scheduling method according to claim 1, characterized in that: In step S5, the dynamic adjustment of the scheduling scheme includes three aspects: feedback control based on construction progress, dynamic scheduling based on resource status, and emergency response based on emergencies.

6. A cable construction scheduling method according to claim 1, characterized in that: In step S6, the construction effect evaluation adopts a method combining quantitative analysis and qualitative evaluation. By comparing the actual construction data with the expected target data, the construction efficiency, resource utilization, and construction cost are evaluated, and a comprehensive evaluation is performed in combination with expert review and user feedback.

7. A cable construction scheduling method according to claim 1, characterized in that: Also includes: A user interactive interface is used to display the mathematical model of cable construction scheduling, the algorithm operation process, the scheduling plan and the construction effect evaluation results, so that users can easily set parameters, select plans and view results.

8. A cable construction scheduling method according to claim 7, characterized in that: The user interaction interface also includes: a knowledge base module for storing historical data, successful cases, common problems and solutions for cable construction scheduling, providing reference and reference for users.

9. A cable construction scheduling method according to claim 1, characterized in that: The cable construction scheduling method is also applicable to other types of construction scheduling problems, such as road construction, bridge construction, and pipeline construction. It only requires corresponding adjustments and optimizations to the mathematical model and intelligent optimization algorithm according to the characteristics and requirements of the specific construction project.

10. A cable construction scheduling method according to claim 1, characterized in that: The cable construction scheduling method also includes: a computer-readable storage medium on which a computer program is stored, and the program is executed by a processor to implement the cable construction scheduling optimization method described in S1-S6.

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