A railway family library standardized resource management system and management method

Abstract

The present invention relates to the field of railway engineering management technology, and more specifically to a railway family library standardized resource management system and management method, comprising a BIM integration and resource acquisition module, a resource classification and sharing module, an ontology engineering technology module, a resource monitoring and optimization module, and a data storage and security module, wherein: the BIM integration and resource acquisition module forms comprehensive resource information; the resource classification and sharing module classifies the comprehensive resource information; the ontology engineering technology module uses ontology engineering technology to establish a standardized model of railway resources; the resource monitoring and optimization module monitors the use of the comprehensive resource information in real time; and the data storage and security module stores the comprehensive resource information. The present invention improves the intelligence and efficiency of the system, realizes the standardization, intelligence, and efficient allocation of resource management, and optimizes the construction process and resource utilization.

Description

Technical Field

[0001] The present invention relates to the technical field of railway engineering management, and in particular to a railway family library standardized resource management system and management method. Background Art

[0002] With the continuous development of railway construction projects, a wide variety of resources are involved in project management, including materials, equipment, personnel, etc. Traditional resource management methods usually rely on manual records and decentralized management systems, leading to problems such as inconsistent data, information silos, and inefficient management. In addition, resource information in railway projects has complex time and space dependencies and lacks unified standards and specifications, making it difficult to share and integrate data between different projects and systems.

[0003] In existing technologies, some systems attempt to manage project resource information through BIM (Building Information Modeling) technology, but these systems still have many shortcomings in data integration and standardization. At the same time, as the scale and complexity of projects expand, the need for real-time monitoring and optimization of resource usage, and improving data security and sharing efficiency becomes increasingly important. However, existing solutions still have much room for improvement in the intelligent query, analysis, and optimization of resource information. Summary of the Invention

[0004] Based on the above objectives, the present invention provides a railway family library standardized resource management system and management method.

[0005] A railway family library standardized resource management system includes a BIM integration and resource acquisition module, a resource classification and sharing module, an ontology engineering technology module, a resource monitoring and optimization module, and a data storage and security module, wherein;

[0006] The BIM integration and resource acquisition module imports the project resource information in the BIM model into the resource management system, and collects on-site resource information from various railway projects, and compares and integrates it with the project resource information in the BIM model to form comprehensive resource information;

[0007] The resource classification and sharing module classifies the collected comprehensive resource information, encodes and stores it according to predetermined rules, and shares the comprehensive resource information among different railway projects to achieve coordinated deployment of the comprehensive resource information;

[0008] The ontology engineering technology module uses ontology engineering technology to establish a standardized model of railway resources, supporting data exchange and understanding between various platforms and applications;

[0009] The resource monitoring and optimization module monitors the use of comprehensive resource information in real time, provides reports on resource utilization and consumption, and analyzes the use data of comprehensive resource information to propose optimization solutions;

[0010] The data storage and security module stores the comprehensive resource information and, in combination with the rights management mechanism, ensures that the comprehensive resource information is not tampered with or leaked during storage and access;

[0011] The ontology engineering technology module also includes:

[0012] Resource information standardization submodule: used to establish a standardized model for railway resources. The resource information standardization submodule standardizes the representation and exchange format of resource information by defining and maintaining resource ontology;

[0013] Semantic query submodule: This module implements semantic query of resource information through ontology engineering technology. Users can retrieve resource information through semantic query and perform intelligent matching and query result optimization based on the standardized model of railway resources.

[0014] Knowledge base construction submodule: It is used to transform the experience and knowledge in railway projects into a knowledge base, organize and manage them through a standardized model of railway resources, and support the sharing and reuse of knowledge.

[0015] Furthermore, the BIM integration and resource acquisition module includes:

[0016] Data import: import project resource information in the BIM model into the resource management system;

[0017] Field data collection: Collects field resource information from various railway projects, including materials, equipment, and personnel information. This data is acquired and updated in real time using sensors, mobile terminals, and manual input.

[0018] Data comparison and integration: Compare and integrate on-site resource information with project resource information in the BIM model. Through data matching algorithms and rules, identify and eliminate data redundancy and conflicts to generate consistent comprehensive resource information.

[0019] Furthermore, the resource classification and sharing module includes:

[0020] Resource classification: Classify comprehensive resource information into different categories, including materials, equipment, and personnel, based on the type, attributes, and purpose of the resources;

[0021] Resource coding: Encode the classified comprehensive resource information according to predetermined rules, adopt a unified coding standard, and assign a unique identification code to each type of resource;

[0022] Resource storage: Store classified and coded comprehensive resource information in the database and provide fast access and retrieval functions;

[0023] Resource sharing: Comprehensive resource information is published to a sharing platform through a network platform or interface to support resource query and allocation for different railway projects.

[0024] Furthermore, the resource information standardization submodule includes:

[0025] Ontology definition: Establish a standardized model of railway resources by describing the attributes, relationships and classifications of resources;

[0026] Ontology maintenance: As the project progresses and the integrated resource information changes, the standardized model of railway resources is regularly reviewed and updated, and conflicts and redundant information in the integrated resource information are handled;

[0027] Format specification: standardizes the representation and exchange format of comprehensive resource information. The format specification includes the definition of data format, conversion rules and verification mechanism.

[0028] Furthermore, the standardized model of railway resources adopts a homogeneous response (LCA) model, and the homogeneous response (LCA) model includes:

[0029] Data collection and preprocessing: Multi-dimensional resource information is collected from various railway projects, including materials, equipment, personnel, time, and location information, expressed as:

[0030] X=[X mat ,X equip ,X pers ,T,L];

[0031] Among them, X mat 、X equip 、X pers Respectively represent material, equipment and personnel information, T represents time information, and L represents location information;

[0032] Establishing a latent category model: Establishing a latent category model of multi-dimensional resource information, including temporal and spatial dependencies, the calculation formula is:

[0033]

[0034] Among them, X is the observed variable, Z is the latent category variable, T is the time information, and L is the location information;

[0035] Calculate category probability: Calculate the probability of each implicit category, combining time and space information, the calculation formula is:

[0036]

[0037] Where P(Z=j) is the prior probability of category j, P(X|Z=j,T,L) is the observed probability under category j, and k is the number of hidden categories;

[0038] Dynamic update mechanism: Dynamically update resource classification results based on real-time data. The calculation formula is:

[0039]

[0040] Where t represents the time step, P(Z t-1 =j) is the class probability of the previous time step;

[0041] Standardization processing: Standardize the classified resource information. The calculation formula is:

[0042] S t =f(Z t ,X t ,T t ,L t );

[0043] Among them, S t is the standardized resource information, and f is the normalization processing function;

[0044] Data integration and storage: Integrate and store standardized resource information in the resource management system. The calculation formula is:

[0045] D t =g(S t );

[0046] Among them, D t is the stored data, g is the data integration and storage function;

[0047] Resource sharing and allocation: Share standardized resource information among different railway projects to achieve resource information allocation. The calculation formula is:

[0048] R t =h(D t );

[0049] Among them, R t is the shared resource information, and h is the resource sharing and allocation function.

[0050] Furthermore, the semantic query submodule includes:

[0051] Semantic parsing: Parses semantic queries entered by users, converts natural language queries into structured query statements, and supports multiple query methods, including keyword queries and complex queries;

[0052] Intelligent matching: Based on the standardized model of railway resources, the parsed query statement is intelligently matched, using the attributes and relationships in the standardized model of railway resources to identify relevant resource information;

[0053] Query optimization: Optimize query results by using semantic relationships in the standardized model of railway resources to sort and filter the results and provide the most relevant resource information.

[0054] Furthermore, the knowledge base construction submodule includes:

[0055] Knowledge acquisition: Collecting experience and knowledge from railway projects, including project documents, technical reports, and expert experience, and converting unstructured knowledge into structured data;

[0056] Knowledge organization: Organize and manage the collected knowledge through a standardized model of railway resources, standardize the knowledge representation according to the attributes, relationships and classification of resources, and establish a knowledge ontology;

[0057] Knowledge storage: Store standardized knowledge in a knowledge base to support fast retrieval and access;

[0058] Knowledge sharing and reuse: By defining access rights and sharing policies, different project teams can leverage the experience and knowledge in the knowledge base to improve overall project management efficiency.

[0059] Furthermore, the resource monitoring and optimization module includes:

[0060] Real-time monitoring: used to monitor the use of comprehensive resource information in real time, collect and record resource usage data, including resource utilization and consumption;

[0061] Report generation: Generate reports on resource utilization and consumption based on real-time monitoring data, providing visual statistical information;

[0062] Data analysis: Analyze usage data of comprehensive resource information to identify trends and anomalies in resource usage;

[0063] Optimization suggestions: Based on the results of data analysis, propose optimization plans for resource utilization, including resource allocation adjustments and usage strategy optimization.

[0064] Furthermore, the data storage and security module includes:

[0065] Data storage: To store comprehensive resource information, distributed database technology is used to store comprehensive resource information on multiple nodes;

[0066] Data encryption: AES is used to encrypt the stored comprehensive resource information;

[0067] Data backup: Regularly back up comprehensive resource information and store it on an off-site server;

[0068] Permission management: Combined with the permission management mechanism, user access rights are controlled, and access and operations to comprehensive resource information are restricted based on user roles and permission levels.

[0069] A railway family library standardized resource management method is implemented by the above-mentioned railway family library standardized resource management system, comprising the following steps:

[0070] S1, BIM integration and resource acquisition: Import the project resource information in the BIM model into the resource management system, collect on-site resource information from various railway projects, and compare and integrate it with the project resource information in the BIM model to form comprehensive resource information;

[0071] S2, Resource Classification and Sharing: Classify the collected comprehensive resource information, encode and store it according to predetermined rules, and share the comprehensive resource information among different railway projects to achieve coordinated deployment of comprehensive resource information;

[0072] S3, Application of Ontology Engineering Technology: Using ontology engineering technology to establish a standardized model of railway resources to support data exchange and understanding between various platforms and applications;

[0073] S4, Resource Monitoring and Optimization: Real-time monitoring of the use of comprehensive resource information, providing reports on resource utilization and consumption, analyzing the use data of comprehensive resource information, and proposing optimization plans;

[0074] S5, Data Storage and Security: Store comprehensive resource information and combine it with permission management mechanism to ensure that comprehensive resource information is not tampered with or leaked during storage and access.

[0075] Beneficial effects of the present invention:

[0076] The present invention effectively imports project resource information in the BIM model into the system through the BIM integration and resource acquisition module, and collects and integrates on-site resource information in real time to ensure data consistency and integrity. The resource classification and sharing module classifies, encodes and stores comprehensive resource information, and shares it among different railway projects to achieve standardization and efficient allocation of resource information. The ontology engineering technology module uses ontology engineering technology to establish a standardized model of railway resources, support data exchange and understanding between various platforms and applications, and ensure the consistency and interchangeability of resource information between different projects and systems.

[0077] The present invention generates reports on resource utilization and consumption by monitoring the use of comprehensive resource information in real time, and identifies trends and anomalies in resource use through data analysis, proposes optimization solutions, and improves resource utilization efficiency. Data analysis includes data collection, trend analysis, anomaly detection, and correlation analysis. Through these methods, resource usage is accurately monitored, resource allocation and usage strategies are optimized, and users are helped to make effective management decisions, thereby improving overall project management efficiency.

[0078] The present invention realizes semantic query, intelligent matching and optimization of query results of resource information through the combination of semantic query submodule and ontology engineering technology, significantly improving resource search and management efficiency. Users can directly retrieve resource information through semantic query. The system performs intelligent matching based on the standardized model of railway resources and optimizes and sorts the query results using the semantic relationships in the ontology model to provide the most relevant resource information, improves the accuracy and efficiency of the query, and enhances the user experience. In addition, the knowledge base construction submodule supports knowledge sharing and reuse by converting the experience and knowledge in the railway project into a structured knowledge base, thereby improving the knowledge management level of the project team. Overall, the intelligence and efficiency of the system are improved, the standardization, intelligence and efficient allocation of resource management are realized, and the construction process and resource utilization are optimized. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0080] Figure 1 Schematic diagram of system function modules according to an embodiment of the present invention;

[0081] Figure 2 Schematic diagram of the management method flow in an embodiment of the present invention. DETAILED DESCRIPTION

[0082] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to specific embodiments.

[0083] It should be noted that, unless otherwise defined, the technical or scientific terms used in the present invention should have the usual meanings understood by people with ordinary skills in the field to which the present invention belongs. The "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the object being described changes, the relative positional relationship may also change accordingly.

[0084] like Figure 1 As shown, a railway family library standardized resource management system includes a BIM integration and resource acquisition module, a resource classification and sharing module, an ontology engineering technology module, a resource monitoring and optimization module, and a data storage and security module, wherein;

[0085] The BIM integration and resource acquisition module imports project resource information in the BIM model into the resource management system to ensure data consistency and integrity. It also collects on-site resource information from various railway projects and compares and integrates it with the project resource information in the BIM model to form comprehensive resource information. The BIM integration and resource acquisition module also provides a user interface to support resource query, deployment, and management operations, ensuring that users can easily access and use system functions.

[0086] The resource classification and sharing module classifies the collected comprehensive resource information, encodes and stores it according to predetermined rules, and shares the comprehensive resource information among different railway projects to achieve coordinated allocation of comprehensive resource information. The resource classification and sharing module also manages the access rights of different users to ensure data security and confidentiality and prevent unauthorized access and modification.

[0087] The ontology engineering technology module uses ontology engineering technology to establish a standardized model of railway resources, supporting data exchange and understanding between various platforms and applications;

[0088] The resource monitoring and optimization module monitors the use of comprehensive resource information in real time, provides reports on resource utilization and consumption, analyzes the usage data of comprehensive resource information, proposes optimization plans, and improves resource utilization efficiency. This module integrates user interface functions, supports real-time data query and analysis, and helps users make effective management decisions;

[0089] The data storage and security module stores comprehensive resource information to ensure data integrity and security. It also combines the rights management mechanism to ensure that comprehensive resource information is not tampered with or leaked during storage and access. The module also provides a user interface for data query, backup, and recovery operations to ensure convenient and secure data management.

[0090] The ontology engineering technology module also includes:

[0091] Resource information standardization submodule: This module is used to establish a standardized model for railway resources and ensure the consistency of resource information across different projects and systems. The resource information standardization submodule standardizes the representation and exchange format of resource information by defining and maintaining resource ontologies.

[0092] Semantic query submodule: This module uses ontology engineering technology to implement semantic query of resource information, improving resource search and management efficiency. Users can retrieve resource information through semantic query, and intelligently match and optimize query results based on the standardized model of railway resources.

[0093] Knowledge Base Construction Submodule: This module transforms railway project experience and knowledge into a knowledge base, organizing and managing it through a standardized model of railway resources. The knowledge base construction submodule supports knowledge sharing and reuse, improving the knowledge management capabilities of the project team.

[0094] The railway family library standardized resource management system of the present invention realizes the standardization, intelligence and efficient management of resource information by combining BIM model and ontology engineering technology. The modules of the system work together to ensure the consistency and integrity of data, improve the utilization efficiency and allocation capability of resources. Through semantic query and intelligent optimization, users can quickly obtain and analyze resource information and make accurate management decisions. Overall, the system significantly improves the resource management level of railway projects, reduces resource waste, optimizes construction processes, and ensures the security and traceability of data.

[0095] BIM integration and resource acquisition modules include:

[0096] Data import: Import project resource information in the BIM model into the resource management system. Through standardized data interfaces and format specifications, ensure the consistency and integrity of the imported project resource data with other data in the resource management system.

[0097] Field data collection: Collects field resource information from various railway projects, including materials, equipment, and personnel information. This data is acquired and updated in real time using sensors, mobile terminals, and manual input.

[0098] Data comparison and integration: Compare and integrate on-site resource information with project resource information in the BIM model. Through data matching algorithms and rules, identify and eliminate data redundancy and conflicts to generate consistent comprehensive resource information.

[0099] The data matching algorithms and rules specifically include:

[0100] Resource name similarity calculation: Use Jaccard similarity to calculate the similarity between the resource name a in the BIM model and the on-site resource name b. The calculation formula is:

[0101]

[0102] Where A and B are character sets of resource names a and b;

[0103] Numerical data matching: Calculate the difference between the resource quantity x in the BIM model and the resource quantity y on site. The calculation formula is:

[0104] Absolute Difference = |xy|;

[0105] Data integration rules: Set a similarity threshold and quantity difference range to decide whether to integrate data. If the similarity of resource names is greater than the similarity threshold and the absolute difference in resource quantities is within the allowed range (δ), the two are considered to match and integrated into comprehensive resource information, with the latest data being used first.

[0106] Through the BIM integration and resource collection module, the Railway Family Library Standardized Resource Management System can effectively import project resource information in the BIM model into the system and ensure the consistency and integrity of the data. At the same time, it collects on-site resource information in real time, compares and integrates it to form comprehensive resource information. This method not only improves the accuracy and reliability of the data, but also realizes the seamless integration of data from different sources, optimizes the resource management process, and improves the overall project management efficiency.

[0107] Resource classification and sharing modules include:

[0108] Resource classification: Classify comprehensive resource information into different categories, including materials, equipment, and personnel, based on the type, attributes, and purpose of the resources;

[0109] Resource coding: Encode the classified comprehensive resource information according to predetermined rules, adopt a unified coding standard, and assign a unique identification code to each type of resource to ensure the standardization and traceability of resource information;

[0110] Resource storage: Store classified and coded comprehensive resource information in the database to ensure data integrity and security, and provide fast access and retrieval functions;

[0111] Resource sharing: Through a network platform or interface, comprehensive resource information is published to a sharing platform, supporting resource query and allocation for different railway projects, and achieving efficient coordination and utilization of resources;

[0112] Through the collaborative work of the above contents, the resource classification and sharing module can effectively classify, encode and store the collected comprehensive resource information, and share it among different railway projects, realizing standardized management and efficient allocation of resources.

[0113] The resource information standardization sub-module includes:

[0114] Ontology definition: By describing the attributes, relationships, and classifications of resources, a standardized model of railway resources is established, using ontology engineering technology to ensure the comprehensiveness and accuracy of the model;

[0115] Ontology maintenance: As the project progresses and the integrated resource information changes, the standardized model of railway resources is regularly reviewed and updated to ensure its timeliness and accuracy. Conflicts and redundant information in the integrated resource information are also handled to maintain model consistency.

[0116] Format specification: Standardizes the representation and exchange format of comprehensive resource information. Through standard data formats and exchange protocols, it ensures seamless integration and exchange of resource information between different projects and application platforms. Format specifications include data format definitions, conversion rules, and verification mechanisms.

[0117] Through the above content, the resource information standardization sub-module can effectively establish and maintain a standardized model of railway resources, ensure the consistency of resource information between different projects and systems, and standardize the representation and exchange format of resource information, thereby improving the standardization and efficiency of resource management.

[0118] The standardized model of railway resources adopts the same type of response (LCA) model, which includes:

[0119] Data collection and preprocessing: Multi-dimensional resource information is collected from various railway projects, including materials, equipment, personnel, time, and location information, expressed as:

[0120] X=[X mat ,X equip ,X pers ,T,L];

[0121] Among them, X mat 、X equip 、X pers Respectively represent material, equipment and personnel information, T represents time information, and L represents location information;

[0122] Establishing a latent category model: Establishing a latent category model of multi-dimensional resource information, including temporal and spatial dependencies, the calculation formula is:

[0123]

[0124] Among them, X is the observed variable, Z is the latent category variable, T is the time information, and L is the location information;

[0125] Calculate category probability: Calculate the probability of each implicit category, combining time and space information, the calculation formula is:

[0126]

[0127] Where P(Z=j) is the prior probability of category j, P(X|Z=j,T,L) is the observed probability under category j, and k is the number of hidden categories;

[0128] Dynamic update mechanism: Dynamically update resource classification results based on real-time data to ensure the timeliness of the model. The calculation formula is:

[0129]

[0130] Where t represents the time step, P(Z t-1 =j) is the class probability of the previous time step;

[0131] Standardization processing: Standardize the classified resource information to ensure data consistency and integrity. The calculation formula is:

[0132] S t =f(Z t ,X t ,T t ,L t );

[0133] Among them, S t is the standardized resource information, and f is the normalization processing function;

[0134] The calculation formula of the normalization processing function f is:

[0135]

[0136] Among them, μ Z and σ Z They are category Z t The mean and standard deviation of

[0137] Data integration and storage: Integrate and store standardized resource information in the resource management system to ensure data integrity and security. The calculation formula is:

[0138] Dt =g(S t );

[0139] Among them, D t is the stored data, g is the data integration and storage function;

[0140] Resource sharing and allocation: Share standardized resource information among different railway projects to achieve resource information allocation. The calculation formula is:

[0141] R t =h(D t );

[0142] Among them, R t is the shared resource information, h is the resource sharing and allocation function;

[0143] By processing multi-dimensional resource information through the homogeneous response model, combining time and space dependencies, and introducing a dynamic update mechanism, the timeliness and accuracy of the data are ensured. The homogeneous response model standardizes the representation and exchange format of resource information, realizes the standardization and consistency of resource information, and ensures data exchange and understanding between different platforms and applications through efficient processing and integration of railway resource data, realizes seamless integration and efficient deployment of resource information, and improves the overall project management efficiency.

[0144] The semantic query submodule includes:

[0145] Semantic parsing: Parses semantic queries entered by users, converts natural language queries into structured query statements, and supports multiple query methods, including keyword queries and complex queries;

[0146] Intelligent matching: Based on the standardized model of railway resources, the parsed query statements are intelligently matched, using the attributes and relationships in the standardized model of railway resources to identify relevant resource information and improve query accuracy;

[0147] Query optimization: Optimize query results by utilizing semantic relationships in the standardized model of railway resources to sort and filter results, providing the most relevant resource information and improving resource search and management efficiency;

[0148] Through the above content, the semantic query submodule can realize semantic query of resource information through ontology engineering technology. Users can retrieve resource information through semantic query and perform intelligent matching and optimization of query results based on the standardized model of railway resources, which significantly improves the efficiency of resource search and management.

[0149] The knowledge base construction submodules include:

[0150] Knowledge acquisition: Collecting experience and knowledge from railway projects, including project documents, technical reports, and expert experience, and converting unstructured knowledge into structured data;

[0151] Knowledge organization: Organize and manage the collected knowledge through a standardized model of railway resources, standardize the knowledge representation according to the attributes, relationships and classification of resources, and establish a knowledge ontology;

[0152] Knowledge storage: Store standardized knowledge in a knowledge base to ensure the integrity and consistency of knowledge and support fast retrieval and access;

[0153] Knowledge sharing and reuse: By defining access rights and sharing policies, different project teams can leverage the experience and knowledge in the knowledge base to improve overall project management efficiency;

[0154] Through the above content, the knowledge base construction submodule can transform the experience and knowledge in railway projects into a knowledge base, organize and manage them through a standardized model of railway resources, and support knowledge sharing and reuse, thereby improving the efficiency of knowledge management and application.

[0155] The resource monitoring and optimization module includes:

[0156] Real-time monitoring: used to monitor the use of comprehensive resource information in real time, collect and record resource usage data, including resource utilization and consumption;

[0157] Report generation: Generate reports on resource utilization and consumption based on real-time monitoring data, providing visual statistical information to help users intuitively understand resource usage;

[0158] Data analysis: Analyze usage data of comprehensive resource information to identify trends and anomalies in resource usage;

[0159] Optimization suggestions: Based on data analysis results, propose optimization plans for resource utilization, including resource allocation adjustments and usage strategy optimization, to improve resource utilization efficiency;

[0160] Data analysis specifically includes:

[0161] Data collection: Real-time monitoring of collected resource usage data, including resource utilization and consumption. The calculation formula is:

[0162]

[0163] C t =R t -R initial ;

[0164] Among them, U t is the resource utilization at time t, Rt is the resource usage at time t, R total is the total amount of resources, C t is the resource consumption at time t, R initial is the initial resource amount;

[0165] Trend analysis: Use time series analysis to identify trends in resource usage. The calculation formula is:

[0166]

[0167] in, is the resource usage prediction value at time t, α is the smoothing coefficient (0<α<1);

[0168] Anomaly detection: Use statistical methods to identify anomalies in resource usage. The calculation formula is:

[0169]

[0170] Among them, Z t is the standard score (Z-score) at time t, μ R is the average resource usage, σ R is the standard deviation of resource usage;

[0171] When | Z t When |>2, it is considered an abnormal situation;

[0172] Correlation analysis: Use the correlation analysis method to identify the usage relationship between different resources. The calculation formula is:

[0173]

[0174] Among them, ρ X,Y is the correlation coefficient between resources X and Y, Cov(X,Y) is the covariance of X and Y, σ X and σ Y are the standard deviations of X and Y respectively;

[0175] Through the above content, the resource monitoring and optimization module can monitor the usage of comprehensive resource information in real time, provide reports on resource utilization and consumption, analyze the usage data of comprehensive resource information, and propose optimization plans, thereby improving the overall efficiency and effectiveness of resource management.

[0176] The data storage and security module includes:

[0177] Data storage: Storing comprehensive resource information using distributed database technology on multiple nodes to ensure data integrity and high availability;

[0178] Data encryption: AES is used to encrypt the stored comprehensive resource information to ensure the security of data during storage and transmission;

[0179] Data backup: Regularly back up comprehensive resource information and store it on off-site servers to ensure data can be restored in the event of accidental damage or loss;

[0180] Permission management: Combined with the permission management mechanism, user access rights are controlled. Access and operation of comprehensive resource information are restricted according to user roles and permission levels, ensuring that data is not tampered with or leaked during storage and access.

[0181] Through the above content, the data storage and security module can store comprehensive resource information, ensure the integrity and security of the data, and combine with the permission management mechanism to ensure that the comprehensive resource information is not tampered with or leaked during the storage and access process, thereby improving the security and reliability of data management.

[0182] like Figure 2 As shown, a railway family library standardized resource management method is implemented by the above-mentioned railway family library standardized resource management system, including the following steps:

[0183] S1, BIM integration and resource acquisition: Import the project resource information in the BIM model into the resource management system, collect on-site resource information from various railway projects, and compare and integrate it with the project resource information in the BIM model to form comprehensive resource information;

[0184] S2, Resource Classification and Sharing: Classify the collected comprehensive resource information, encode and store it according to predetermined rules, and share the comprehensive resource information among different railway projects to achieve coordinated deployment of comprehensive resource information;

[0185] S3, Application of Ontology Engineering Technology: Using ontology engineering technology to establish a standardized model of railway resources to support data exchange and understanding between various platforms and applications;

[0186] S4, Resource Monitoring and Optimization: Real-time monitoring of the use of comprehensive resource information, providing reports on resource utilization and consumption, analyzing the use data of comprehensive resource information, and proposing optimization plans;

[0187] S5, Data Storage and Security: Store comprehensive resource information and combine it with permission management mechanism to ensure that comprehensive resource information is not tampered with or leaked during storage and access.

[0188] Those skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present invention is limited to these examples. Within the scope of the present invention, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of the different aspects of the present invention as described above, which are not provided in detail for the sake of simplicity.

[0189] The present invention is intended to cover all such substitutions, modifications and variations that fall within the broad scope of the claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A railway family library standardized resource management system, characterized by: It includes BIM integration and resource acquisition module, resource classification and sharing module, ontology engineering technology module, resource monitoring and optimization module and data storage and security module, among which; The BIM integration and resource acquisition module imports the project resource information in the BIM model into the resource management system, and collects on-site resource information from various railway projects, and compares and integrates it with the project resource information in the BIM model to form comprehensive resource information; The resource classification and sharing module classifies the collected comprehensive resource information, encodes and stores it according to predetermined rules, and shares the comprehensive resource information among different railway projects to achieve coordinated deployment of the comprehensive resource information; The ontology engineering technology module uses ontology engineering technology to establish a standardized model of railway resources, supporting data exchange and understanding between various platforms and applications; The resource monitoring and optimization module monitors the use of comprehensive resource information in real time, provides reports on resource utilization and consumption, and analyzes the use data of comprehensive resource information to propose optimization solutions; The data storage and security module stores the comprehensive resource information and, in combination with the rights management mechanism, ensures that the comprehensive resource information is not tampered with or leaked during storage and access; The ontology engineering technology module also includes: Resource information standardization submodule: used to establish a standardized model for railway resources. The resource information standardization submodule standardizes the representation and exchange format of resource information by defining and maintaining resource ontology; Semantic query submodule: This module implements semantic query of resource information through ontology engineering technology. Users can retrieve resource information through semantic query and perform intelligent matching and query result optimization based on the standardized model of railway resources. Knowledge Base Construction Submodule: This module is used to transform the experience and knowledge gained in railway projects into a knowledge base, which is organized and managed through a standardized model of railway resources. The knowledge base construction submodule supports knowledge sharing and reuse. The standardized model of railway resources adopts a homogeneous response model, which includes: Data collection and preprocessing: Multi-dimensional resource information is collected from various railway projects, including materials, equipment, personnel, time, and location information, expressed as: X=[X mat ,X equip ,X pers ,T,L]; Among them, X mat 、X equip 、X pers Respectively represent material, equipment and personnel information, T represents time information, and L represents location information; Establishing a latent category model: Establishing a latent category model of multi-dimensional resource information, including temporal and spatial dependencies, the calculation formula is: Among them, X is the observed variable, Z is the latent category variable, T is the time information, and L is the location information; Calculate category probability: Calculate the probability of each implicit category, combining time and space information, the calculation formula is: Where P(Z=j) is the prior probability of category j, P(X|Z=j,T,L) is the observed probability under category j, and k is the number of hidden categories; Dynamic update mechanism: Dynamically update resource classification results based on real-time data. The calculation formula is: Where t represents the time step, P(Z t-1 =j) is the class probability of the previous time step; Standardization processing: Standardize the classified resource information. The calculation formula is: S t =f(Z t ,X t ,T t ,L t ); Among them, S t is the standardized resource information, and f is the normalization processing function; Data integration and storage: Integrate and store standardized resource information in the resource management system. The calculation formula is: D t =g(S t ); Among them, D t is the stored data, g is the data integration and storage function; Resource sharing and allocation: Share standardized resource information among different railway projects to achieve resource information allocation. The calculation formula is: R t =h(D t ); Among them, R t is the shared resource information, and h is the resource sharing and allocation function.

2. A railway family library standardized resource management system according to claim 1, characterized in that: The BIM integration and resource acquisition module includes: Data import: import project resource information in the BIM model into the resource management system; Field data collection: Collects field resource information from various railway projects, including materials, equipment, and personnel information. This data is acquired and updated in real time using sensors, mobile terminals, and manual input. Data comparison and integration: Compare and integrate on-site resource information with project resource information in the BIM model. Through data matching algorithms and rules, identify and eliminate data redundancy and conflicts to generate consistent comprehensive resource information.

3. A railway family library standardized resource management system according to claim 1, characterized in that: The resource classification and sharing module includes: Resource classification: Classify comprehensive resource information into different categories, including materials, equipment, and personnel, based on the type, attributes, and purpose of the resources; Resource coding: Encode the classified comprehensive resource information according to predetermined rules, adopt a unified coding standard, and assign a unique identification code to each type of resource; Resource storage: Store classified and coded comprehensive resource information in the database and provide fast access and retrieval functions; Resource sharing: Comprehensive resource information is published to a sharing platform through a network platform or interface to support resource query and allocation for different railway projects.

4. A railway family library standardized resource management system according to claim 3, characterized in that: The resource information standardization submodule includes: Ontology definition: Establish a standardized model of railway resources by describing the attributes, relationships and classifications of resources; Ontology maintenance: As the project progresses and the integrated resource information changes, the standardized model of railway resources is regularly reviewed and updated, and conflicts and redundant information in the integrated resource information are handled; Format specification: standardizes the representation and exchange format of comprehensive resource information. The format specification includes the definition of data format, conversion rules and verification mechanism.

5. A railway family library standardized resource management system according to claim 4, characterized in that: The semantic query submodule includes: Semantic parsing: Parses semantic queries entered by users, converts natural language queries into structured query statements, and supports multiple query methods, including keyword queries and complex queries; Intelligent matching: Based on the standardized model of railway resources, the parsed query statement is intelligently matched, using the attributes and relationships in the standardized model of railway resources to identify relevant resource information; Query optimization: Optimize query results by using semantic relationships in the standardized model of railway resources to sort and filter the results and provide the most relevant resource information.

6. A railway family library standardized resource management system according to claim 5, characterized in that: The knowledge base construction submodule includes: Knowledge acquisition: Collecting experience and knowledge from railway projects, including project documents, technical reports, and expert experience, and converting unstructured knowledge into structured data; Knowledge organization: Organize and manage the collected knowledge through a standardized model of railway resources, standardize the knowledge representation according to the attributes, relationships and classification of resources, and establish a knowledge ontology; Knowledge storage: Store standardized knowledge in a knowledge base to support fast retrieval and access; Knowledge sharing and reuse: By defining access rights and sharing policies, different project teams can leverage the experience and knowledge in the knowledge base to improve overall project management efficiency.

7. A railway family library standardized resource management system according to claim 1, characterized in that: The resource monitoring and optimization module includes: Real-time monitoring: used to monitor the use of comprehensive resource information in real time, collect and record resource usage data, including resource utilization and consumption; Report generation: Generate reports on resource utilization and consumption based on real-time monitoring data, providing visual statistical information; Data analysis: Analyze usage data of comprehensive resource information to identify trends and anomalies in resource usage; Optimization suggestions: Based on the results of data analysis, propose optimization plans for resource utilization, including resource allocation adjustments and usage strategy optimization.

8. A railway family library standardized resource management system according to claim 1, characterized in that: The data storage and security module includes: Data storage: To store comprehensive resource information, distributed database technology is used to store comprehensive resource information on multiple nodes; Data encryption: AES is used to encrypt the stored comprehensive resource information; Data backup: Regularly back up comprehensive resource information and store it on an off-site server; Permission management: Combined with the permission management mechanism, user access rights are controlled, and access and operations to comprehensive resource information are restricted based on user roles and permission levels.

9. A railway family library standardized resource management method, implemented by a railway family library standardized resource management system according to any one of claims 1 to 8, characterized in that: The following steps are involved: S1, BIM integration and resource acquisition: Import the project resource information in the BIM model into the resource management system, collect on-site resource information from various railway projects, and compare and integrate it with the project resource information in the BIM model to form comprehensive resource information; S2, Resource Classification and Sharing: Classify the collected comprehensive resource information, encode and store it according to predetermined rules, and share the comprehensive resource information among different railway projects to achieve coordinated deployment of comprehensive resource information; S3, Application of Ontology Engineering Technology: Using ontology engineering technology to establish a standardized model of railway resources to support data exchange and understanding between various platforms and applications; S4, Resource Monitoring and Optimization: Real-time monitoring of the use of comprehensive resource information, providing reports on resource utilization and consumption, analyzing the use data of comprehensive resource information, and proposing optimization plans; S5, Data Storage and Security: Store comprehensive resource information and combine it with permission management mechanism to ensure that comprehensive resource information is not tampered with or leaked during storage and access.

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