A modern reservoir operation management matrix platform construction method and system based on semantic role adaptation

Abstract

The application discloses a kind of modernization reservoir operation management matrix platform construction method and system based on semantic role self-adaption, belongs to the technical field of intelligent water conservancy.It realizes intelligent permission adaptation by semantic role self-adaption mechanism.Core steps include: function semantic modeling is carried out to each business function unit of platform, and function semantic label is configured;Responsibility semantic modeling is carried out to user role, and standardized post responsibility description text is configured;The semantic of both is vectorized using pre-training natural language processing model;Calculate semantic similarity based on cosine similarity algorithm, and determine the candidate business function set corresponding to each role through threshold determination;According to the preset mapping relationship, the matched function semantic label is converted into operation permission set;Finally, the personalized reservoir operation management workbench interface is dynamically generated.The corresponding system includes five modules of matrix platform function library, role responsibility management, function recommendation, permission configuration and personalized workbench generation.

Description

Technical Field

[0001] This invention relates to the field of smart water conservancy technology, specifically to a method and system for constructing a modern reservoir operation and management matrix platform based on semantic role adaptation. Background Technology

[0002] With the continuous advancement of water conservancy informatization, digital twin water conservancy, and smart water conservancy construction, modern reservoir operation and management matrix platforms are gradually becoming important technical support platforms for reservoir operation and management. These platforms typically integrate multiple business systems such as rainfall and water level monitoring, safety monitoring, video surveillance, engineering operation management, hazard investigation and mitigation, and emergency dispatch, enabling centralized management and collaborative dispatch of reservoir operation status.

[0003] Existing modern reservoir operation and management matrix platforms generally adopt a role-based static permission configuration method for access control. This means that system administrators manually configure business function access permissions and operation permissions for different roles based on experience. This method has the following shortcomings in practical applications:

[0004] First, the permission configuration process relies on manual settings, which is inefficient and prone to misunderstandings leading to unreasonable permission allocation. Second, when platform business functions are adjusted or job responsibilities change, permission configurations need to be manually modified again, resulting in high maintenance costs. Third, it is difficult to provide users with personalized operation interfaces based on the actual job responsibilities of different roles, affecting the efficiency of platform use.

[0005] Therefore, there is an urgent need for a technical solution that can automatically adapt platform functions and operating permissions based on the semantic information of job responsibilities, in order to improve the intelligence level of the reservoir operation and management matrix platform. Summary of the Invention

[0006] To address the shortcomings of existing technologies, the technical solution adopted by this invention is: a method for constructing a modern reservoir operation and management matrix platform based on semantic role adaptation, comprising the following steps:

[0007] Step 1: Perform functional semantic modeling on each business function unit in the matrix platform, and configure at least one functional semantic label for each business function unit to represent the specific business operation behavior corresponding to that business function unit;

[0008] Step 2: Perform semantic modeling of the responsibilities of user roles in the matrix platform, and configure standardized job description text for each user role;

[0009] Step 3: Perform semantic vectorization processing on the functional semantic tags and the job responsibility description text to obtain the corresponding functional semantic vectors and role responsibility semantic vectors;

[0010] Step 4: Based on the preset semantic similarity calculation rules, calculate the semantic similarity between the role responsibility semantic vector and the function semantic vector, and determine the candidate business function set corresponding to each user role according to the preset similarity threshold.

[0011] Step 5: Based on the pre-established mapping relationship between functional semantic tags and operation permissions, convert the functional semantic tags that match the user role in the candidate business function set into the corresponding operation permission set;

[0012] Step Six: Based on the set of candidate business functions and the corresponding set of operation permissions, dynamically generate a personalized reservoir operation management workbench interface that matches the user role.

[0013] Preferably, the functional semantic tags include multiple keywords or phrases that can cover all or part of the operational behaviors of the corresponding business functional unit.

[0014] Preferably, the semantic vectorization process is implemented through a pre-trained natural language processing semantic coding model.

[0015] Preferably, the semantic similarity is calculated using a cosine similarity algorithm.

[0016] Preferably, when the semantic similarity between any functional semantic tag and the job description text is greater than the similarity threshold, it is determined that the corresponding business function unit matches the user role.

[0017] Preferably, the set of operation permissions is obtained by performing a union operation on the operation permissions corresponding to multiple functional semantic tags.

[0018] Preferably, the personalized reservoir operation management workbench interface includes a business function navigation structure and a function operation interface, wherein the function operation interface dynamically controls the display status or availability status of interface components according to the set of operation permissions.

[0019] Preferably, based on the set of operation permissions, the interface components corresponding to data viewing, data editing, approval, or deletion operations are selectively displayed or enabled.

[0020] A modern reservoir operation and management matrix platform system based on semantic role adaptation includes: a matrix platform function library module, a role and responsibility management module, a function recommendation module, a permission configuration module, and a personalized workbench generation module, wherein each module works collaboratively to execute the methods described.

[0021] Preferably, the functional recommendation module includes a semantic vectorization unit and a semantic similarity calculation unit.

[0022] The beneficial effects of this invention are as follows:

[0023] 1. By configuring functional semantic tags for business function units and configuring job description text for user roles, the correspondence between the two is established using semantic similarity calculation, thereby achieving automatic matching between job responsibilities and platform functions and avoiding deviations caused by manual experience configuration;

[0024] 2. By using a semantic similarity threshold determination mechanism, when job responsibilities change, only the job description text needs to be updated to automatically recalculate business functions and operation permissions, thereby improving the system's adaptability to organizational structure changes;

[0025] 3. By establishing a mapping relationship between functional semantic tags and operation permissions, fine-grained permission control can be achieved for different operation behaviors within the same business function unit, thereby improving the flexibility and security of platform permission management;

[0026] 4. By dynamically controlling the display and availability of various components in the function interface based on the set of operation permissions, personalized workbenches that match the responsibilities of different job roles can be generated, thereby improving the platform's operational efficiency and user experience.

[0027] 5. This invention adopts a modular design, which is suitable for reservoir operation and management scenarios with multiple roles and multiple business modules, and has good scalability and versatility. Attached Figure Description

[0028] Figure 1 This is a schematic diagram of the platform construction method of the present invention;

[0029] Figure 2 This is a schematic diagram of the system module relationship of the present invention. Detailed Implementation

[0030] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments. The embodiments of the present invention are given for illustrative and descriptive purposes only, and are not intended to be exhaustive or to limit the invention to the forms disclosed. Many modifications and variations will be apparent to those skilled in the art. The embodiments were chosen and described to better illustrate the principles and practical application of the invention, and to enable those skilled in the art to understand the invention and design various embodiments with various modifications suitable for a particular purpose.

[0031] The modern reservoir operation and management matrix platform system in this embodiment includes a matrix platform function library module, a role and responsibility management module, a function recommendation module, a permission configuration module, and a personalized workbench generation module.

[0032] In the matrix platform's function library module, administrators centrally configure and manage all business function units within the platform. For each business function unit, one or more functional semantic tags are set to describe the corresponding business operation behavior.

[0033] For example, the "Hazard Investigation and Management" business function unit can be configured with the following functional semantic tags: hazard reporting, hazard information editing, hazard rectification, and hazard rectification review.

[0034] At the same time, a set of corresponding operation permissions is configured for each functional semantic tag to define the allowed operation behaviors of that semantic tag.

[0035] In the role and responsibility management module, the administrator creates user roles based on the reservoir operation and management positions and configures standardized job description texts for each user role.

[0036] For example, the job description for the position of "reservoir inspector" can be set as: responsible for daily safety inspections of the dam, reporting of hidden dangers, and filling in inspection records.

[0037] The feature recommendation module invokes a semantic vectorization model to vectorize both the job description text and the feature semantic tag text, and calculates the semantic similarity between them based on a cosine similarity algorithm. Both the feature semantic tag text and the job description text are encoded using the semantic vectorization model, converting them into vector representations in a unified semantic space.

[0038] Let the semantic vector representation corresponding to the functional semantic label be: ;

[0039] The semantic vector representation of the job description text is as follows: ;

[0040] in, The dimension of the semantic vector. , They represent the vector at the th order. The value in the dimension.

[0041] In the function recommendation module, the system uses cosine similarity as the semantic similarity calculation method to measure the degree of correlation between the semantics of job responsibilities and functional semantics. The calculation formula is as follows:

[0042] ;

[0043] in, Represents the dot product of two vectors. The magnitude of the semantic vector representing job responsibilities. The magnitude of the functional semantic vector is represented. The range of values ​​is The larger the value, the higher the semantic relevance.

[0044] When the similarity between a certain functional semantic tag and the job description text exceeds a preset threshold, the functional semantic tag is determined to match the role, and the corresponding business functional unit is included in the candidate business functional set for that role. The specific threshold determination and functional matching rules are as follows:

[0045] The system pre-sets a semantic similarity threshold. When the following conditions are met: If any of the functional semantic tags matches the job responsibility semantics, then the functional semantic tag is considered to be successfully matched. If a business function unit contains multiple functional semantic tags, as long as any functional semantic tag satisfies the above matching conditions, the business function unit is determined to be related to the current job role, and the business function unit is included in the candidate function set for that role.

[0046] Based on the function recommendation results, the permission configuration module queries the mapping relationship between semantic tags and operation permissions, performs a union operation on the operation permissions corresponding to multiple successfully matched function semantic tags, and generates the final set of operation permissions for the role to the business function unit.

[0047] The personalized workbench generation module dynamically generates the workbench interface after the user logs in, based on the final generated role-function-permission configuration results.

[0048] The system controls the display status of various components in the function interface based on the permission set, including data viewing components, editing components, approval components, and deletion components, thereby providing different user roles with an operation interface that matches their job responsibilities.

[0049] When job responsibilities are adjusted, simply update the job description text, and the system will automatically adapt permissions and workbench.

[0050] For example, in a certain implementation scenario: a vector of job descriptions for a "reservoir inspector". "Hazard Reporting" semantic tag vector "Hazard Rectification Review" Semantic Tag Vector Calculated as follows:

[0051] The system sets a semantic similarity threshold. Therefore: because 0.82≥0.65, the semantic tag “Hazard Reporting” is successfully matched; because 0.35<0.65, the semantic tag “Hazard Rectification Review” is not matched.

[0052] Based on this, the system determines that the "Hazard Investigation and Management" business function is related to this job role and only grants operation permissions corresponding to the semantic tag "Hazard Reporting".

[0053] The semantic similarity calculation and threshold determination processes described above are all automatically executed by the functional recommendation module of the matrix platform during system operation. The calculation results are directly used by the permission configuration module and the personalized workbench generation module, and are not output as independent algorithm units.

[0054] Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. All other embodiments obtained by those skilled in the art and related fields based on the embodiments of the present invention without inventive effort should fall within the scope of protection of the present invention. Structures, devices, and operating methods not specifically described and explained in the present invention, unless otherwise specified or limited, shall be implemented according to conventional means in the art.

Claims

1. A method for constructing a modern reservoir operation and management matrix platform based on semantic role adaptation, characterized in that, Includes the following steps: Step 1: Perform functional semantic modeling on each business function unit in the matrix platform, and configure at least one functional semantic label for each business function unit to represent the specific business operation behavior corresponding to that business function unit; Step 2: Perform semantic modeling of the responsibilities of user roles in the matrix platform, and configure standardized job description text for each user role; Step 3: Perform semantic vectorization processing on the functional semantic tags and the job responsibility description text to obtain the corresponding functional semantic vectors and role responsibility semantic vectors; Step 4: Based on the preset semantic similarity calculation rules, calculate the semantic similarity between the role responsibility semantic vector and the function semantic vector, and determine the candidate business function set corresponding to each user role according to the preset similarity threshold. Step 5: Based on the pre-established mapping relationship between functional semantic tags and operation permissions, convert the functional semantic tags that match the user role in the candidate business function set into the corresponding operation permission set; Step Six: Based on the set of candidate business functions and the corresponding set of operation permissions, dynamically generate a personalized reservoir operation management workbench interface that matches the user role.

2. The method of claim 1, wherein, The functional semantic tags include multiple keywords or phrases that can cover all or part of the operational behaviors of the corresponding business functional unit.

3. The method of claim 1, wherein, The semantic vectorization process is implemented through a pre-trained natural language processing semantic coding model.

4. The method of claim 1, wherein, The semantic similarity is calculated using a cosine similarity algorithm.

5. The method of claim 1, wherein, When the semantic similarity between any functional semantic tag and the job description text is greater than the similarity threshold, it is determined that the corresponding business functional unit matches the user role.

6. The method of claim 1, wherein, The set of operation permissions is obtained by performing a union operation on the operation permissions corresponding to multiple functional semantic tags.

7. The method of claim 1, wherein, The personalized reservoir operation management workbench interface includes a business function navigation structure and a function operation interface. The function operation interface dynamically controls the display status or availability status of interface components according to the set of operation permissions.

8. The method of claim 7, wherein, Based on the set of operation permissions, selectively display or enable the interface components corresponding to data viewing, data editing, approval, or deletion operations.

9. A modernized reservoir operation management matrix platform system based on semantic role adaptation, characterized in that, include: The matrix platform includes a function library module, a role and responsibility management module, a function recommendation module, a permission configuration module, and a personalized workbench generation module, wherein the modules work together to execute the method described in claim 1.

10. The system of claim 9, wherein, The functional recommendation module includes a semantic vectorization unit and a semantic similarity calculation unit.

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