3D collaborative design system and method for optical cables in smart substations
Through the three-dimensional collaborative design system for optical cables in the substation, the problem of multi-source data conflict in the optical cable laying design of substations is solved, efficient and accurate data fusion and design collaboration are achieved, and design quality and safety are improved.
Patent Information
- Application Number
- CN202411807868.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-10
- Publication Date
- 2025-09-05
- Estimated Expiration
- 2044-12-10
AI Technical Summary
When three-dimensional modeling technology is applied to substation optical cable laying design, when facing massive multi-source data, data conflicts frequently occur and lack effective processing mechanisms, resulting in strong subjectivity of manual screening and manual adjustments, making it difficult to achieve efficient and accurate design.
The three-dimensional collaborative design system for optical cables in intelligent substations is adopted, including the three-dimensional model generation module of substations, the three-dimensional design module of optical cable laying, the data sharing platform building module and the data conflict replacement module. Real-time synchronization is achieved through the data sharing platform, and multi-source data conflicts are handled using hierarchical analysis method, fuzzy logic algorithm and gray system algorithm to generate fusion values to replace the original divergence data.
It realizes efficient and precise data fusion during multi-source data integration, reduces design errors, improves design collaboration efficiency, ensures information security, and enhances the scientificity and practicality of the design.
Smart Images

Figure CN119578008B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of optical cable laying, and in particular to a three-dimensional collaborative design system and method for optical cables in intelligent substations. Background Art
[0002] Optical cables are communications transmission lines that combine optical fibers and electrical cables. In modern communications networks, optical cables are widely used for long-distance communications and metropolitan area network construction. The optical fiber portion enables high-speed data transmission, such as internet data and high-definition video signals. The electrical cable portion can be used to transmit power, providing energy for communications equipment, or for transmitting low-frequency control signals.
[0003] With the rise of digital technology, three-dimensional modeling technology has gradually been applied to the field of substation optical cable laying, improving the shortcomings of traditional two-dimensional optical cable laying design to a certain extent.
[0004] Publication number CN110442992B relates to a method and device for electromechanical collaborative design of aerospace system cable networks. Through a three-dimensional design module, it solves the problem of unclear expression or large discrepancies with actual assembly relationships when there are special requirements, realizes the matching of cable parameter information with the three-dimensional model, and improves the precision of cable network layout.
[0005] However, the aforementioned application still faces the following challenges: When 3D modeling technology is applied to substation optical cable installation design, optical cable design involves a vast amount of data, encompassing multiple sources of data on electrical performance parameters, mechanical properties, and installation environment information. Integrating this data frequently leads to data conflicts, and the current lack of an effective mechanism for handling these conflicts often results in manual identification and adjustment, which is highly subjective. Summary of the Invention
[0006] In order to solve the technical problems existing in the background technology, the present invention proposes a three-dimensional collaborative design system and method for optical cables in intelligent substations.
[0007] The three-dimensional collaborative design system for optical cables in smart substations proposed in the present invention includes:
[0008] Substation 3D model generation module: used to obtain substation data and build a 3D model of the substation using 3D modeling software;
[0009] Optical cable laying 3D design module: Based on the 3D model of the substation, each professional selects the appropriate 3D design software according to their functions to realize the 3D design of optical cable laying;
[0010] Data sharing platform building module: used to build a data sharing platform to achieve real-time synchronization between 3D design software and the data sharing platform. When one party modifies the data, the other party will update it immediately.
[0011] Data conflict replacement module: In the data sharing platform construction module, when the platform integrates multi-source data and encounters data conflicts, the data conflict replacement module is enabled to generate a fusion value and replace the original conflicting data with the fusion value.
[0012] Preferably, in the data conflict replacement module, the fusion value is generated as follows:
[0013] Assume that there are i data sources of multi-source data, and each of the i data sources provides i data values: x1, x2, ..., xi, where i is a positive integer;
[0014] Scoring the reliability of i data sources:
[0015] Through the hierarchical analysis method, the reliability assessment of data sources is decomposed into multiple levels, a hierarchical structure model is established, a judgment matrix is constructed, and the weight vectors of the elements at each level are calculated. Finally, the comprehensive weight of each data source, i.e., the reliability score, is obtained;
[0016] Assume that the reliability scores R of i data sources are: R1, R2, ..., Ri;
[0017] Assume that the weights w of i data sources are: w1, w2, ..., wi;
[0018] Then the initial weights of the i data sources are:
[0019]
[0020]
[0021] Then the calculation equation of the fusion value F is:
[0022] F=w1×x1+w2×x2+...+wi×xi.
[0023] Preferably, in the data sharing platform construction module, when the platform integrates multi-source data and encounters data value conflicts and inconsistent data boundaries, a fuzzy logic algorithm is used to provide a fuzzy data boundary to determine whether the data with data value conflicts are all within the fuzzy data boundary. If one of the conflicting data values is not within the fuzzy data boundary, the data conflict replacement module is not started. If the data with data value conflicts are all within the fuzzy data boundary, the data conflict replacement module is used to calculate the fusion value, and then it is determined again whether the fusion value is within the fuzzy data boundary. If not, the fusion value is not used to replace the conflicting data value. If so, the fusion value is used to replace the conflicting data value.
[0024] Preferably, in the data sharing platform building module, before processing the data, the data conflict replacement module divides the data into different categories, establishes an independent temporary storage area for each category of data, and sets a conflict difference threshold for each category of data. When the platform integrates multi-source data and there is a conflict or inconsistency in the multi-source data, the maximum data value in the conflicting multi-source data is subtracted from the minimum data value. When the difference is less than the conflict difference threshold, the data conflict replacement module is used to calculate the fusion value, and the fusion value is used to replace the original data value with the conflicting value;
[0025] When the difference is greater than the conflict difference threshold, the grey system data generation algorithm is used to preprocess the conflicting multi-source data, and then the data conflict replacement module is used to calculate the fusion value, which is used to replace the original data values with differences.
[0026] Preferably, in the data sharing platform building module, before the data conflict replacement module processes the data, the K-Means clustering algorithm is used to cluster the data according to its attributes and divide it into different categories.
[0027] Preferably, in the substation three-dimensional model generation module, the three-dimensional modeling software Revit or Bentley is used to build the substation three-dimensional model.
[0028] Preferably, it also includes:
[0029] Transmission encryption module: used for data encryption transmission in the optical cable laying three-dimensional design module and the data sharing platform construction module.
[0030] The present invention proposes a three-dimensional collaborative design method for optical cables in smart substations, comprising the following steps:
[0031] Obtain substation data and construct a 3D model of the substation using 3D modeling software;
[0032] Based on the 3D model of the substation, each professional selects the appropriate 3D design software according to their functions to realize the 3D design of optical cable laying;
[0033] Build a data sharing platform to achieve real-time synchronization between 3D design software and the data sharing platform. When one party modifies the data, the other party will update it immediately.
[0034] In the data sharing platform construction module, the K-Means clustering algorithm is used to cluster and divide data into different categories based on their attributes, and a conflict difference threshold is set for each type of data;
[0035] When the platform integrates multi-source data and there are conflicts and inconsistencies in the multi-source data, the maximum data value in the conflicting multi-source data is subtracted from the minimum data value. If the difference is less than the conflict difference threshold, the data conflict replacement module is used to calculate the fusion value, and the fusion value is used to replace the original data value with the conflicting value; when the difference is greater than the conflict difference threshold, the gray system data generation algorithm is used to pre-process the conflicting multi-source data, and then the data conflict replacement module is used to calculate the fusion value, and the fusion value is used to replace the original data value with the conflicting value;
[0036] When the platform integrates multi-source data and encounters data value conflicts and inconsistent data boundaries, a fuzzy logic algorithm is used to provide a fuzzy data boundary to determine whether the data with data value conflicts are all within the fuzzy data boundary. If one of the conflicting data values is not within the fuzzy data boundary, the data conflict replacement module will not be started. If the data with data value conflicts are all within the fuzzy data boundary, the data conflict replacement module will be used to calculate the fusion value, and then it will be determined again whether the fusion value is within the fuzzy data boundary. If not, the fusion value will not be used to replace the conflicting data value. If so, the fusion value will be used to replace the conflicting data value.
[0037] The proposed intelligent substation optical cable 3D collaborative design system and method have the following beneficial technical effects:
[0038] 1. When faced with data conflict problems when the platform integrates multi-source data, the data conflict replacement module is used to generate fusion values, and the fusion values are used to replace the original data with differences, so as to solve the conflict problems when the platform integrates multi-source data in a targeted manner. When faced with data conflict problems when the platform integrates multi-source data and the data boundaries are inconsistent, the fuzzy logic algorithm is used to provide fuzzy data boundaries to determine whether the conflicting data meets the fusion conditions, avoid unreasonable fusion, and provide a reliable basis for design decisions by replacing the original data with differences with fusion values.
[0039] 2. By clustering the data according to their attributes and dividing them into different categories, and setting a conflict difference threshold for each type of data, the data conflict replacement module is used to generate a fusion value for the conflicting data with small differences, and the fusion value is used to replace the original data with differences. The data with large differences are first pre-processed using the gray system data generation algorithm and then the data conflict replacement module is used to generate a fusion value to ensure the rationality of the fusion value and improve the accuracy of data fusion.
[0040] 3. Real-time data synchronization and efficient collaboration: The data sharing platform building module realizes real-time synchronization between 3D design software and the data sharing platform. When one party modifies the data, the other party will update it immediately, breaking down information barriers. Professional teams can grasp the latest design dynamics in real time and adjust plans in time, greatly improving design collaboration efficiency and reducing communication costs and design errors caused by information lag and version differences.
[0041] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned by practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS
[0042] Figure 1 It is a principle block diagram of the system of the present invention;
[0043] Figure 2 Flowchart of the method of the present invention. DETAILED DESCRIPTION
[0044] The following describes embodiments of the present invention in detail. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar symbols throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended only to explain the present invention, and are not to be construed as limiting the present invention.
[0045] like Figure 1 The 3D collaborative design system for optical cables in smart substations shown in the figure includes:
[0046] Substation 3D model generation module: used to obtain substation data and build a 3D model of the substation using 3D modeling software;
[0047] In the substation 3D model generation module, the 3D modeling software Revit or Bentley is used to build the substation 3D model;
[0048] Optical cable laying 3D design module: Based on the 3D model of the substation, each professional selects the appropriate 3D design software according to their functions to realize the 3D design of optical cable laying;
[0049] Specifically, civil engineers used 3D modeling software to construct a 3D model of the substation site and the main building structure, which included the main control building, distribution room, cable trench, and shaft.
[0050] Based on the 3D model of the substation, the primary electrical engineer implanted the equipment into the model according to its actual location and size. He used different colored lines to preliminarily outline the direction of the power cables, visually displaying the electrical connection relationship between the equipment, including the main transformer, circuit breaker, and switchgear.
[0051] Communications, electrical secondary, and electrical primary engineers each planned optical cable routes based on their professional needs and marked them in the 3D model. Communications engineers focused on optical fiber communication links, connecting on-site communication equipment with the monitoring center; electrical secondary engineers planned the control cable routes around secondary equipment; and electrical primary engineers refined the power cable layout.
[0052] After determining the detailed parameters of the optical cable, the communications engineer determines the number and type of optical fiber cores, and selects products based on bandwidth and transmission distance; the electrical secondary engineer determines the number of control cable cores and shielding method; the electrical primary engineer determines the current carrying capacity and insulation level of the power cable, enters the parameters into the three-dimensional model of the substation, and generates a three-dimensional design for the optical cable laying.
[0053] In the three-dimensional design module of optical cable laying, the optical cable laying design software automatically plans the preliminary laying route based on the electrical connection logic, current carrying capacity requirements, and the shortest path principle, greatly improving design efficiency. Combined with mechanical simulation, it simulates the stress conditions of optical cables under different working conditions, sets fixed point layouts, and prevents line damage caused by deadweight and thermal expansion and contraction. It effectively enhances the scientificity and practicality of optical cable laying design, extends the service life of optical cables, and reduces operation and maintenance costs.
[0054] Through the substation 3D model generation module, 3D model of the substation is constructed using 3D modeling software, laying a solid foundation for subsequent design; each professional selects the appropriate software according to their function to carry out 3D design of optical cable laying, and engineers from civil engineering, primary electrical engineering, communications, and secondary electrical engineering divide the work and cooperate with each other, fully combining their own professional knowledge and needs to realize the refined operation of the entire process from site and main building structure construction to equipment implantation, different types of cable path planning and parameter determination, comprehensively improving the accuracy and scientific nature of substation and optical cable design, and effectively avoiding design errors caused by poor connection between different professions.
[0055] Data sharing platform building module: used to build a data sharing platform to achieve real-time synchronization between 3D design software and the data sharing platform. When one party modifies the data, the other party will update it immediately.
[0056] Data conflict replacement module: In the data sharing platform construction module, when the platform integrates multi-source data and encounters data conflicts, the data conflict replacement module is enabled to generate a fusion value and replace the original conflicting data with the fusion value.
[0057] Transmission encryption module: used for data encryption transmission in the optical cable laying 3D design module and the data sharing platform construction module;
[0058] The transmission encryption module adopts SSL / TLS encryption; the transmission encryption module adopts SSL / TLS encryption technology to protect the data transmission between the optical cable laying three-dimensional design module and the data sharing platform construction module, strictly prevent the security risks of data leakage and tampering, consolidate the information security line of the design system, and protect the key design data of the substation and the core technology assets of the enterprise.
[0059] Obtain substation data and construct a 3D model of the substation using 3D modeling software;
[0060] Based on the 3D model of the substation, each professional selects the appropriate 3D design software according to their functions to realize the 3D design of optical cable laying;
[0061] Data sharing platform construction module:
[0062] It is used to build a data sharing platform to achieve real-time synchronization between 3D design software and the data sharing platform. When one party modifies the data, the other party will update it immediately. It breaks down information barriers, allowing professional teams to grasp the latest design dynamics in real time and adjust plans in a timely manner, greatly improving design collaboration efficiency and reducing communication costs and design errors caused by information lags and version differences.
[0063] Data conflict replacement module: In the data sharing platform construction module, when the platform integrates multi-source data and encounters data conflicts and inconsistencies, the data conflict replacement module is activated to generate fusion values and replace the original conflicting data;
[0064] In the data sharing platform construction module, when the platform integrates multi-source data and encounters data value conflicts and inconsistent data boundaries, a fuzzy logic algorithm is used to provide a fuzzy data boundary to determine whether the data with data value conflicts are all within the fuzzy data boundary. If one of the conflicting data values is not within the fuzzy data boundary, the data conflict replacement module will not be started. If the data with data value conflicts are all within the fuzzy data boundary, the data conflict replacement module will be used to calculate the fusion value, and then it will be determined again whether the fusion value is within the fuzzy data boundary. If not, the fusion value will not be used to replace the conflicting data value. If so, the fusion value will be used to replace the conflicting data value.
[0065] In the data sharing platform construction module, the data conflict replacement module divides the data into different categories before processing it, establishes an independent temporary storage area for each type of data, and sets a conflict difference threshold for each type of data. When the platform integrates multi-source data and there are conflicts and inconsistencies in the multi-source data, the maximum data value in the conflicting multi-source data is subtracted from the minimum data value. If the difference is less than the conflict difference threshold, the data conflict replacement module is used to calculate the fusion value and use the fusion value to replace the original data values with the conflicting values.
[0066] When the difference is greater than the conflict difference threshold, the data generation algorithm of the grey system is used to pre-process the conflicting multi-source data, and then the data conflict replacement module is used to calculate the fusion value, and the fusion value is used to replace the original data value with the conflicting value;
[0067] Some data sequences may be incomplete or highly volatile. The data generation algorithm of the grey system is used to pre-process the conflicting multi-source data. The data conflict replacement module can fuse data based on more stable and regular data, thereby obtaining more reasonable fusion values to replace the original data that may have problems.
[0068] In the data sharing platform building module, before the data conflict replacement module processes the data, the K-Means clustering algorithm is used to cluster and divide the data into different categories according to the data attributes;
[0069] The K-Means clustering algorithm is used to cluster the data according to its attributes and divide it into different categories. A conflict difference threshold is set for each type of data. The data conflict replacement module is used to generate a fusion value for the conflict data with small difference, and the fusion value is used to replace the original data with differences. The data with large difference is first preprocessed using the gray system data generation algorithm and then the data conflict replacement module is used to generate a fusion value to ensure the rationality of the fusion value and improve the accuracy of data fusion.
[0070] The use of the K-Means clustering algorithm helps to better sort out messy multi-source data and divide data categories more clearly. Compared with simply dividing according to data attributes, it is more flexible and accurate. It enables the data conflict replacement module to better adapt to the inherent distribution law of the data when dealing with data conflicts in different clusters, thereby obtaining a more reasonable fusion value.
[0071] In an optional embodiment, in the data conflict replacement module, the fusion value is generated as follows:
[0072] Assume that there are i data sources of multi-source data, and each of the i data sources provides i data values: x1, x2, ..., xi, where i is a positive integer;
[0073] Scoring the reliability of i data sources:
[0074] Through the hierarchical analysis method, the reliability assessment of data sources is decomposed into multiple levels, a hierarchical structure model is established, a judgment matrix is constructed, and the weight vectors of the elements at each level are calculated. Finally, the comprehensive weight of each data source, i.e., the reliability score, is obtained;
[0075] Assume that the reliability scores R of i data sources are: R1, R2, ..., Ri;
[0076] Assume that the weights w of i data sources are: w1, w2, ..., wi;
[0077] Then the initial weights of the i data sources are:
[0078]
[0079] Then the calculation equation of the fusion value F is:
[0080] F=w1×x1+w2×x2+...+wi×xi;
[0081] The fusion value is directly fed back to the 3D collaborative design model and various professional design links to avoid design errors caused by deviations from a single data source.
[0082] When faced with data conflict issues when the platform integrates multi-source data, the data conflict replacement module is used to generate fusion values, and the fusion values are used to replace the original data with conflicts, thus solving the conflict problems when the platform integrates multi-source data in a targeted manner. When faced with data conflict issues when the platform integrates multi-source data and inconsistent data boundaries, the fuzzy logic algorithm is used to provide fuzzy data boundaries to determine whether the conflicting data meets the fusion conditions, avoid unreasonable fusion, and provide a reliable basis for design decisions by replacing the original data with conflicts with fusion values.
[0083] like Figure 2 A three-dimensional collaborative design method for optical cables in smart substations is shown, comprising the following steps:
[0084] Obtain substation data and construct a 3D model of the substation using 3D modeling software;
[0085] Based on the 3D model of the substation, each professional selects the appropriate 3D design software according to their functions to realize the 3D design of optical cable laying;
[0086] Build a data sharing platform to achieve real-time synchronization between 3D design software and the data sharing platform. When one party modifies the data, the other party will update it immediately.
[0087] In the data sharing platform construction module, the K-Means clustering algorithm is used to cluster and divide data into different categories based on their attributes, and a conflict difference threshold is set for each type of data;
[0088] When the platform integrates multi-source data and there are conflicts and inconsistencies in the multi-source data, the maximum data value in the conflicting multi-source data is subtracted from the minimum data value. If the difference is less than the conflict difference threshold, the data conflict replacement module is used to calculate the fusion value, and the fusion value is used to replace the original data value with the conflicting value; when the difference is greater than the conflict difference threshold, the gray system data generation algorithm is used to pre-process the conflicting multi-source data, and then the data conflict replacement module is used to calculate the fusion value, and the fusion value is used to replace the original data value with the conflicting value;
[0089] When the platform integrates multi-source data and encounters data value conflicts and inconsistent data boundaries, a fuzzy logic algorithm is used to provide a fuzzy data boundary to determine whether the data with data value conflicts are all within the fuzzy data boundary. If one of the conflicting data values is not within the fuzzy data boundary, the data conflict replacement module will not be started. If the data with data value conflicts are all within the fuzzy data boundary, the data conflict replacement module will be used to calculate the fusion value, and then it will be determined again whether the fusion value is within the fuzzy data boundary. If not, the fusion value will not be used to replace the conflicting data value. If so, the fusion value will be used to replace the conflicting data value.
[0090] When conflicting data values are not replaced by fusion values, traditional manual screening and manual adjustment methods are required to deal with data conflicts, rather than not processing them at all.
[0091] In summary, this patent application comprehensively optimizes the three-dimensional collaborative design process of optical cables for smart substations, improves design efficiency, quality and safety, and helps to promote substation construction projects efficiently and with high quality.
[0092] At the same time, the contents not described in detail in this specification belong to the existing technology well known to those skilled in the art.
[0093] In the embodiments provided by the present invention, it should be understood that the disclosed systems or methods can be implemented in other ways. For example, the embodiments of the invention described above are merely illustrative. For example, the division of modules is only a logical function division, and other division methods may be used in actual implementation.
[0094] Modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, and may be located in one place or distributed across multiple network modules. Some or all of these modules may be selected to achieve the objectives of this embodiment based on actual needs.
[0095] In addition, the functional modules in various embodiments of the present invention may be integrated into a single processing module, each module may exist physically separately, or two or more modules may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or hardware plus software functional modules.
[0096] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the basic characteristics of the present invention.
[0097] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.
Claims
1. The intelligent substation optical cable 3D collaborative design system is characterized by: include: Substation 3D model generation module: used to obtain substation data and build a 3D model of the substation using 3D modeling software; Optical cable laying 3D design module: Based on the 3D model of the substation, each professional selects the appropriate 3D design software according to their functions to realize the 3D design of optical cable laying; Data sharing platform building module: used to build a data sharing platform to achieve real-time synchronization between 3D design software and the data sharing platform. When one party modifies the data, the other party will update it immediately. Data conflict replacement module: In the data sharing platform building module, when the platform integrates multi-source data and encounters data conflicts, the data conflict replacement module is activated to generate fusion values and replace the original conflicting data with the fusion values; In the data conflict replacement module, the fusion value is generated as follows: Assume that there are i data sources of multi-source data, and each of the i data sources provides i data values: x1, x2, ..., xi, where i is a positive integer; Scoring the reliability of i data sources: Through the hierarchical analysis method, the reliability assessment of data sources is decomposed into multiple levels, a hierarchical structure model is established, a judgment matrix is constructed, and the weight vectors of the elements at each level are calculated. Finally, the comprehensive weight of each data source, i.e., the reliability score, is obtained; Assume that the reliability scores R of i data sources are: R1, R2, ..., Ri; Assume that the weights w of i data sources are: w1, w2, ..., wi; Then the initial weights of the i data sources are: ...... Then the calculation equation of the fusion value F is: F=w1×x1+w2×x2+...+wi×xi; In the data sharing platform construction module, when the platform integrates multi-source data and encounters data value conflicts and inconsistent data boundaries, a fuzzy logic algorithm is used to provide a fuzzy data boundary to determine whether the data with data value conflicts are all within the fuzzy data boundary. If one of the conflicting data values is not within the fuzzy data boundary, the data conflict replacement module will not be started. If the data with data value conflicts are all within the fuzzy data boundary, the data conflict replacement module will be used to calculate the fusion value, and then it will be determined again whether the fusion value is within the fuzzy data boundary. If not, the fusion value will not be used to replace the conflicting data value. If so, the fusion value will be used to replace the conflicting data value. In the data sharing platform construction module, the data conflict replacement module divides the data into different categories before processing it, establishes an independent temporary storage area for each type of data, and sets a conflict difference threshold for each type of data. When the platform integrates multi-source data and there are conflicts and inconsistencies in the multi-source data, the maximum data value in the conflicting multi-source data is subtracted from the minimum data value. If the difference is less than the conflict difference threshold, the data conflict replacement module is used to calculate the fusion value and use the fusion value to replace the original data values with the conflicting values. When the difference is greater than the conflict difference threshold, the data generation algorithm of the grey system is used to pre-process the conflicting multi-source data, and then the data conflict replacement module is used to calculate the fusion value, and the fusion value is used to replace the original data value with the conflicting value; In the data sharing platform construction module, before the data conflict replacement module processes the data, the K-Means clustering algorithm is used to cluster and divide the data into different categories according to the data attributes.
2. The intelligent substation optical cable 3D collaborative design system according to claim 1 is characterized in that: In the substation 3D model generation module, the 3D modeling software Revit or Bentley is used to build the substation 3D model.
3. The intelligent substation optical cable 3D collaborative design system according to claim 1 is characterized in that: Also includes: Transmission encryption module: used for data encryption transmission in the optical cable laying three-dimensional design module and the data sharing platform construction module.
4. The method for three-dimensional collaborative design of optical cables for smart substations according to any one of claims 1 to 3 is characterized in that: The following steps are involved: Obtain substation data and construct a 3D model of the substation using 3D modeling software; Based on the 3D model of the substation, each professional selects the appropriate 3D design software according to their functions to realize the 3D design of optical cable laying; Build a data sharing platform to achieve real-time synchronization between 3D design software and the data sharing platform. When one party modifies the data, the other party will update it immediately. In the data sharing platform construction module, the K-Means clustering algorithm is used to cluster and divide data into different categories based on their attributes, and a conflict difference threshold is set for each type of data; When the platform integrates multi-source data and there are conflicts and inconsistencies in the multi-source data, the maximum data value in the conflicting multi-source data is subtracted from the minimum data value. If the difference is less than the conflict difference threshold, the data conflict replacement module is used to calculate the fusion value, and the fusion value is used to replace the original data value with the conflicting value; when the difference is greater than the conflict difference threshold, the gray system data generation algorithm is used to pre-process the conflicting multi-source data, and then the data conflict replacement module is used to calculate the fusion value, and the fusion value is used to replace the original data value with the conflicting value; When the platform integrates multi-source data and encounters data value conflicts and inconsistent data boundaries, a fuzzy logic algorithm is used to provide a fuzzy data boundary to determine whether the data with data value conflicts are all within the fuzzy data boundary. If one of the conflicting data values is not within the fuzzy data boundary, the data conflict replacement module will not be started. If the data with data value conflicts are all within the fuzzy data boundary, the data conflict replacement module will be used to calculate the fusion value, and then it will be determined again whether the fusion value is within the fuzzy data boundary. If not, the fusion value will not be used to replace the conflicting data value. If so, the fusion value will be used to replace the conflicting data value.
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