A water conservancy project management method and system based on multi-source inspection data fusion and correlation analysis

Abstract

The application discloses a kind of based on multi-source inspection data fusion and correlation analysis water conservancy project management method and system, and relates to data processing technical field.The application is by layered coding to inspection data in uniform collection cycle and constructs three-layer envelope structure, realizes the spatio-temporal integration organization of multi-source inspection information, makes cross-source data obtain consistent expression, improves the accuracy and traceability of data fusion;Through the establishment of joint positioning point in time envelope layer and the allocation of collaborative labeling mark in space envelope layer, different source data form collaborative labeling items with synchronous semantics, thereby significantly improving the alignment capability and comparative analysis efficiency of inspection information;With the construction of step-by-step linkage correlation link, the continuous evolution of water conservancy structure state can be presented on time series, and the spatio-temporal characteristics can be captured synchronously by combining dynamic correlation paragraph generation, to enhance the identification sensitivity of abnormal change.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a water conservancy project management method and system based on multi-source inspection data fusion and correlation analysis. Background Technology

[0002] As the scale of water conservancy projects continues to expand and their operational lifespan increases, the structural safety status, operational conditions, and surrounding environmental factors of these facilities exhibit greater dynamism and complexity. In recent years, the application of automated inspection equipment, intelligent sensors, mobile inspection terminals, and digital archiving systems in water conservancy project management has become increasingly widespread, resulting in inspection data characterized by diverse sources, long time spans, and wide spatial distribution. The access to multi-source data can significantly enhance the breadth and depth of project operation monitoring, providing a data foundation for risk identification, hazard location, and maintenance decision-making.

[0003] However, multi-source inspection data often exhibit significant differences in collection cycles, data structures, semantic labels, and spatial reference systems, leading to challenges in ensuring consistency and maintaining unified correlation logic during fusion and correlation processing. Traditional water conservancy inspection management typically relies on independent data recording or manual comparison, which fails to meet the demands of current smart water conservancy systems for automated processing and intelligent analysis in terms of temporal continuity, spatial consistency, and degree of structuring. Summary of the Invention

[0004] In view of the problems existing in the data fusion technology of water conservancy project inspection, this invention is proposed.

[0005] Therefore, the problem that this invention aims to solve is how to address the difficulties in uniformly representing multi-source inspection data, the challenges in correlation analysis, and the inability to generate refined management strategies.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0007] In a first aspect, the present invention provides a water conservancy project management method based on multi-source inspection data fusion and correlation analysis. The method includes: collecting on-site inspection data, sensor inspection data, and historical archive inspection data according to the same collection cycle; establishing an envelope structure for various types of inspection data within the same collection cycle using a hierarchical coding method; establishing joint positioning points for data from different inspection sources on the temporal envelope layer based on the envelope structure; assigning collaborative labeling identifiers in the spatial envelope layer based on the joint positioning points, so that inspection data from different sources at the same joint positioning point form a set of structurally consistent collaborative labeling entries; establishing hierarchical linkage association links in the temporal envelope layer according to the inspection cycle sequence based on the collaborative labeling entries; generating dynamic association segments in the spatial envelope layer based on physical adjacency relationships; dividing the dynamic association segments within the same area into regional joint management groups according to the association strength based on the generated hierarchical linkage association links; and generating a corresponding operation guidance set for each regional joint management group.

[0008] As a preferred embodiment of the water conservancy project management method based on multi-source inspection data fusion and correlation analysis described in this invention, the envelope structure comprises a three-layer correlation framework consisting of a time envelope layer, a spatial envelope layer, and a structural envelope layer.

[0009] As a preferred embodiment of the water conservancy project management method based on multi-source inspection data fusion and correlation analysis described in this invention, the construction of the envelope structure includes: within the same acquisition period, dynamically dividing on-site inspection data, sensor inspection data, and historical archive inspection data into multiple time segments according to the acquisition timestamp, with the data in each time segment arranged in chronological order; within each time segment, establishing a linkage indexing list in spatial coordinate order based on the acquisition location of the three types of inspection data; based on the linkage indexing list, generating three-layer coding entries for data instances in on-site inspection data, sensor inspection data, and historical archive inspection data according to data source type, and mapping the three-layer coding entries to the time envelope layer, spatial envelope layer, and structural envelope layer respectively; based on the three-layer coding entries, sequentially establishing a time mapping sequence for each time segment, generating a spatial mapping sequence according to spatial order, and then forming a structural mapping sequence according to data source type, so that the three types of mapping sequences form a three-layer envelope structure within the acquisition period.

[0010] As a preferred embodiment of the water conservancy project management method based on multi-source inspection data fusion and correlation analysis described in this invention, the step of establishing a linkage indexing list in spatial coordinate order includes: transforming the spatial coordinates of the three types of inspection data to a unified coordinate system and generating a spatial sequence point set according to the spatial position order; dividing the spatial sequence point set into several spatial segments based on adjacent spatial coordinates, and placing the three types of inspection data into the same group according to their respective spatial segments, so that each spatial segment corresponds to a group of cross-source inspection data; within each spatial segment, generating label entries for the three types of inspection data in spatial coordinate order, so that the three label entries form a parallel relationship within the same spatial segment and a continuous relationship between different spatial segments; connecting all spatial segments one by one according to the arrangement order of the spatial sequence point set, so that the sequential label entries extend from the starting spatial segment to the ending spatial segment, forming a complete linkage indexing list.

[0011] As a preferred embodiment of the water conservancy project management method based on multi-source inspection data fusion and correlation analysis described in this invention, the method of allocating collaborative labeling identifiers in the spatial envelope layer includes: based on the three-layer envelope structure, determining the time segments corresponding to the three-layer coding entries in the temporal envelope layer as periodic nodes; within the determined periodic nodes, arranging the three-layer coding entries corresponding to on-site inspection data, sensor inspection data, and historical archive inspection data in sequence, and generating a joint positioning point at each periodic node; based on the coding entries associated with the joint positioning point, pairing the corresponding spatial segments of the three types of inspection data in the spatial envelope layer to ensure that each joint positioning point corresponds to a spatial segment pairing set; allocating collaborative labeling identifiers to the three types of inspection data in the pairing set in a fixed order, and forming a set of parallel collaborative labeling entries under the same joint positioning point, so that each collaborative labeling entry maintains structural consistency in the temporal and spatial envelope layers.

[0012] As a preferred embodiment of the water conservancy project management method based on multi-source inspection data fusion and correlation analysis described in this invention, the establishment of the hierarchical linkage correlation link includes: based on the collaborative annotation entries within a single acquisition cycle, arranging all collaborative annotation entries sequentially according to time segment order within the time envelope layer, so that the arranged collaborative annotation entries form a time series queue with fixed length and clear position; in the time series queue, two adjacent collaborative annotation entries form a node group, and each node group is connected according to the queue order, so that each node group contains the previous cycle entry and the next cycle entry, constituting a hierarchically extended linkage correlation node group; the establishment of the dynamic correlation segment includes: in each link In the dynamic association node group, the spatial coordinates of two collaborative annotation entries in the spatial envelope layer are read, and the spatial segment numbers corresponding to the two spatial coordinates are compared. If the two spatial segment numbers are adjacent, the node group is assigned to the same spatial segment; if they are not adjacent, the node group is marked as cross-spatial segment association. In the structure of each spatial segment, all linked association node groups belonging to the same spatial segment are connected in chronological order. At the same time, the node groups marked as cross-spatial segment association are retained as link points in the dynamic association paragraph, so that each spatial segment forms a linear paragraph containing a time extension relationship. The paragraphs of all spatial segments are concatenated in spatial segment order to form a dynamic association paragraph that contains both chronological order and spatial adjacency.

[0013] As a preferred embodiment of the water conservancy project management method based on multi-source inspection data fusion and correlation analysis described in this invention, the method of dividing the dynamic correlation segments within the same area into joint management groups according to the correlation strength includes: based on a sequence of dynamic correlation segments from multiple collection cycles, if a dynamic correlation segment appears consecutively in M ​​or more inspection cycles within the same spatial segment, it is combined with other dynamic correlation segments that meet this condition to form a continuous group within the segment; where M is a constant; between different spatial segments, the continuous groups within each spatial segment are connected according to the order of the node groups associated across spatial segments, and based on the joint positioning point in the inspection... The three-layer coding entries corresponding to the inspection cycle sequence form cross-segment connection groups in sequence. Within the same area, all cross-segment connection groups are merged based on the geographical coherence of the spatial segment sequences they contain. If the spatial segment sequences covered by two cross-segment connection groups overlap, or the boundary spatial segments are adjacent in physical location, a partition candidate group with continuous coverage is formed. For each partition candidate group, the cross-cycle associated segment chain is extracted based on the order of occurrence of the dynamically associated segments in the inspection cycle sequence, and the occurrence frequency in the most recent N collection cycles is calculated. If the occurrence frequency exceeds the frequency threshold, a partition joint management group with periodic coherence is formed. Here, N is a constant.

[0014] Secondly, this invention provides a water conservancy project management system based on multi-source inspection data fusion and correlation analysis, which includes:

[0015] The envelope acquisition module collects on-site inspection data, sensor inspection data, and historical archive inspection data according to the same acquisition cycle, and establishes an envelope structure for various types of inspection data within the same acquisition cycle using a hierarchical coding method.

[0016] The joint annotation module establishes joint positioning points on the temporal envelope layer for data from different inspection sources based on the envelope structure, and assigns collaborative annotation identifiers in the spatial envelope layer based on the joint positioning points, so that inspection data from different sources at the same joint positioning point form a set of collaborative annotation entries with consistent structure.

[0017] The association generation module, based on collaborative annotation entries, establishes hierarchical linkage association links in the time envelope layer according to the inspection cycle sequence, and generates dynamic association segments in the spatial envelope layer based on physical adjacency relationships.

[0018] The partition management module divides dynamically related segments within the same area into partition joint management groups according to the strength of the association, based on the generated hierarchical linkage links, and generates a corresponding set of operation guidelines for each partition joint management group.

[0019] Thirdly, the present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program instructions are executed by the processor, they implement the steps of the water conservancy project management method based on multi-source inspection data fusion and correlation analysis as described in the first aspect of the present invention.

[0020] Fourthly, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program instructions are executed by a processor, they implement the steps of the water conservancy project management method based on multi-source inspection data fusion and correlation analysis as described in the first aspect of the present invention.

[0021] The beneficial effects of this invention are as follows: By hierarchically encoding on-site inspection data, sensor inspection data, and historical archive data within a unified acquisition cycle and constructing a three-layer envelope structure, this invention achieves spatiotemporal integrated organization of multi-source inspection information, enabling cross-source data to obtain structurally consistent expressions and improving the accuracy and traceability of data fusion; by establishing joint positioning points in the temporal envelope layer and assigning collaborative annotation identifiers in the spatial envelope layer, data from different sources form collaborative annotation entries with synchronous semantics, thereby significantly improving the alignment capability and comparative analysis efficiency of inspection information; with the construction of hierarchical linkage links, the continuous evolution of the hydraulic structure status can be presented in the time series, and combined with the generation of dynamic linkage segments, spatiotemporal features can be captured synchronously, enhancing the sensitivity of abnormal change identification.

[0022] Furthermore, by dividing dynamically related paragraphs into management groups according to their correlation strength and generating operation guidance sets, regionalization, refinement, and adaptive decision-making of inspection management are achieved. This is conducive to optimizing inspection path planning, improving on-site response efficiency, and significantly enhancing the intelligent management capabilities and operational safety of water conservancy projects. Attached Figure Description

[0023] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 This is a flowchart of a water conservancy project management method based on multi-source inspection data fusion and correlation analysis.

[0025] Figure 2 This is a structural diagram of a water conservancy project management system based on multi-source inspection data fusion and correlation analysis. Detailed Implementation

[0026] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0027] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0028] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0029] Figure 1 This is a flowchart illustrating a water conservancy project management method based on multi-source inspection data fusion and correlation analysis according to an embodiment of the present invention. Figure 1 As shown, the water conservancy project management method based on multi-source inspection data fusion and correlation analysis includes:

[0030] S1: Collect on-site inspection data, sensor inspection data, and historical archive inspection data according to the same collection cycle, and establish an envelope structure for various types of inspection data within the same collection cycle using a hierarchical coding method.

[0031] The envelope structure comprises a three-layered relational framework consisting of a temporal envelope layer, a spatial envelope layer, and a structural envelope layer.

[0032] In this embodiment of the invention, the construction of the envelope structure includes the following steps:

[0033] S1.1: Within the same data collection period, the on-site inspection data, sensor inspection data, and historical archive inspection data are dynamically divided into multiple time segments based on the data collection timestamp, and the data in each time segment are arranged in chronological order.

[0034] Specifically, the timestamps of the on-site inspection data, sensor data, and historical archive data are read and collected, and then uniformly converted into a standard time format (such as UTC time). According to the collection time density, the data of the same collection period is divided into multiple time segments, and the length of each time segment can be dynamically adjusted according to the data density to ensure that the amount of data in each segment is balanced and continuous. Within each time segment, the three types of data are arranged in the order of collection time to form a time series queue.

[0035] This ensures that even if some types of data are intermittent or missing, other data can still maintain temporal continuity and form aligned data blocks.

[0036] S1.2: Within each time segment, establish a linkage index list in spatial coordinate order based on the collection locations of the three types of inspection data to ensure that the data within the time segment is spatially continuous.

[0037] Furthermore, establishing a linked index list in spatial coordinate order includes the following steps:

[0038] S1.2.1: Transform the spatial coordinates of the three types of inspection data to a unified coordinate system, and generate a spatial sequence point set according to the spatial location (such as latitude and longitude).

[0039] Specifically, the geographic coordinates of the on-site inspection data, the coordinates of the sensor collection points, and the spatial information recorded in historical archives are uniformly converted into the same coordinate system (such as WGS-84 or the local projection coordinate system) to ensure that the data can be directly compared under the same spatial reference; the converted data are then used to generate a spatial sequence point set according to the spatial location order (such as longitude or X coordinate priority, latitude or Y coordinate order).

[0040] Optionally, clustering can be performed on data points with similar coordinates (such as those less than a preset distance threshold) to eliminate deviations caused by measurement errors or inaccurate location of historical archives.

[0041] S1.2.2: Within the spatial sequence point set, divide it into several spatial segments based on adjacent spatial coordinates, and place the three types of inspection data into the same group according to their respective spatial segments, so that each spatial segment corresponds to a group of cross-source inspection data.

[0042] It should be noted that the spatial segmentation ensures the spatial proximity of data within a segment, while cross-source grouping enables collaborative data management, providing clear spatial boundaries for subsequent joint annotation and linked analysis.

[0043] S1.2.3: Within each spatial segment, the three types of inspection data are generated into annotation entries according to the spatial coordinate order, so that the three annotation entries form a parallel relationship within the same spatial segment and a continuous relationship between different spatial segments.

[0044] The labeled entries include, but are not limited to, the following fields: joint positioning index (identifying the sequential position of the entry in the entire spatial segment, facilitating association across spatial segments or periods), collection timestamp or time segment number, unified coordinates of the data collection location (such as latitude and longitude or projected coordinates), and data source type.

[0045] S1.2.4: Connect all spatial segments one by one according to the arrangement order of the spatial sequence point set, so that the sequential label entries extend from the starting spatial segment to the ending spatial segment, forming a complete linked index list.

[0046] S1.3: Based on the linkage indexing list, generate three-layer coded entries for data instances in on-site inspection data, sensor inspection data, and historical archive inspection data according to the data source type, and map the three-layer coded entries to the time envelope layer, spatial envelope layer, and structural envelope layer respectively; wherein, the data source type includes but is not limited to: on-site manual records, sensor time series data, and historical archive documents.

[0047] It should be noted that the linked indexing list only guarantees the continuity of data in time and space, but cannot reflect the differences in data source and structural type. This invention proposes to generate three-layer coded entries according to data source, mapping data to a time envelope layer, a spatial envelope layer, and a structural envelope layer, thereby achieving multi-source and multi-dimensional management.

[0048] Specifically, for each data entry in the linkage indexing list, a corresponding coded entry is generated based on the source type (on-site manual records, sensor time-series data, historical archive documents). The coded entry includes the source identifier, time segment number, spatial segment number, and structural category information. The generated entries are mapped to the time envelope layer (sequence of time segments), spatial envelope layer (sequence of spatial segments), and structural envelope layer (sequence of structural categories) respectively, maintaining the correspondence between the three layers of entries. A unique identifier is recorded for each coded entry to ensure the operability of cross-layer tracking and referencing.

[0049] S1.4: Based on the three-layer coding entries, time mapping sequences are established for each time segment in sequence, spatial mapping sequences are generated according to spatial order, and structural mapping sequences are formed according to the data source type, so that the three types of mapping sequences form a three-layer envelope structure within the acquisition period.

[0050] Specifically, according to the time segment order, the labeled items within each time segment are arranged sequentially to generate a preliminary time series; according to the divided time segment order, the labeled items within each time segment are arranged sequentially to generate a preliminary time series, ensuring that the time order of any two items in the time series is completely consistent with the original collection order; based on the formed linkage index list, the labeled items are sorted according to the spatial segment arrangement order to form a spatial mapping sequence, with each labeled item retaining the spatial segment number and joint positioning index information to achieve accurate spatial mapping positioning; the spatial adjacency between labeled items in the sequence is verified, and if adjacent items are found... If the physical distance to an object exceeds a preset distance threshold, a warning label or manual verification is performed. A structure mapping sequence is generated based on the data source type (on-site manual, sensor time series, historical archives) in the label entries. Each label entry corresponds to a structure code in the structure mapping sequence, identifying its source category and structural attributes (such as equipment type, facility component category). The structure code of each entry is verified to ensure that the three types of data within the same spatial segment and time segment correspond to consistent structures, without duplication or conflict. The time mapping sequence, spatial mapping sequence, and structure mapping sequence are integrated according to the joint positioning index to form a unified three-layer envelope structure.

[0051] Each labeled entry has a clear index in the three-layer structure, which can be located simultaneously in the time, space and structural dimensions.

[0052] S2: Based on the envelope structure, establish joint positioning points on the temporal envelope layer for data from different inspection sources, and assign collaborative labeling identifiers in the spatial envelope layer according to the joint positioning points, so that inspection data from different sources at the same joint positioning point form a set of collaborative labeling entries with consistent structure.

[0053] S2.1: Based on the three-layer envelope structure, the time segments corresponding to the three-layer coding entries in the time envelope layer are respectively determined as periodic nodes.

[0054] Specifically, the start and end times of each time segment in the time envelope layer are read to generate a period node identifier. Each period node contains a start and end timestamp and the time segment number to which it belongs. The encoded entries of the three types of inspection data in the time envelope layer are mapped to the corresponding period nodes, so that each encoded entry is aligned with a specific period node in the time dimension. For segments with time overlap or insufficient continuity, the entry index is adjusted by interpolation or proximity matching strategy so that entries from different sources can be uniformly referenced under the same period node.

[0055] S2.2: Within a defined periodic node, the three-layer coded entries corresponding to on-site inspection data, sensor inspection data, and historical archive inspection data are arranged in sequence, and a joint positioning point is generated at each periodic node. The joint positioning point points to the corresponding coded entries in the time envelope layer, spatial envelope layer, and structural envelope layer through index or coordinate mapping relationship.

[0056] It should be noted that the role of joint location points is to unify and associate multi-source data under the same period node through indexing or coordinate mapping, forming a management unit that can be located simultaneously in three dimensions: time, space, and structure. Traditional methods typically only merge data in a single dimension of time or space, making it difficult to guarantee structural consistency. This invention uses joint location points to synchronously map cross-source entries to a three-layer envelope structure. The specific operation is as follows:

[0057] Within each cycle node, the corresponding coded entries of on-site inspection data, sensor inspection data, and historical archive data are arranged in spatial order to ensure that the entries are consistent in the spatial dimension. A joint positioning point is generated for this cycle node. The joint positioning point contains a unique identifier code and can simultaneously point to the cycle node number in the time envelope layer, the spatial segment number in the spatial envelope layer, and the index of the coded entry in the structural envelope layer, thereby realizing multi-dimensional indexing.

[0058] The joint location point can be implemented using data structure indexing or coordinate mapping: the time index corresponds to the period node, the spatial coordinate corresponds to the start and end points of the spatial segment, and the structure index corresponds to the coded entry category; for cases where there are slight time deviations or spatial drifts between entries, spatial clustering and temporal proximity matching are used to map the entries to the same joint location point, thereby achieving spatial and temporal alignment across source entries.

[0059] S2.3: Based on the coded entries associated with the joint location points, the corresponding spatial segments of the three types of inspection data in the spatial envelope layer are paired to ensure that each joint location point corresponds to a set of paired spatial segments.

[0060] In practice, for each three-layer coded entry associated with a joint location point, the spatial segment number in the spatial envelope layer is read; data entries from different sources are paired according to the spatial segment number to form a joint spatial segment pairing set. Each data entry in the set retains its original spatial segment attribute, and cross-source association is achieved through the joint location point index; for cases where spatial segments overlap or are adjacent but not completely coincident, the spatial proximity rule is used for extended matching, and the entry is assigned to the nearest joint spatial segment set.

[0061] S2.4: Assign collaborative labeling identifiers to the three types of inspection data in the pairing set in a fixed order (such as on-site inspection data → sensor data → historical archive data), and form a set of parallel collaborative labeling entries under the same joint positioning point, so that each collaborative labeling entry maintains structural consistency in the temporal envelope layer and the spatial envelope layer.

[0062] The collaborative annotation identifier includes the joint location point number, data source type, spatial segment number, and structural category.

[0063] S3: Based on collaborative annotation entries, establish hierarchical linkage links in the time envelope layer according to the inspection cycle sequence, and generate dynamic linkage segments in the spatial envelope layer based on physical adjacency.

[0064] S3.1: In this embodiment of the invention, the establishment of the hierarchical linkage link includes:

[0065] S3.1.1: Based on the collaborative annotation entries within a single acquisition cycle, all collaborative annotation entries are arranged sequentially in the time envelope layer according to the time segment order, so that the arranged collaborative annotation entries form a time series queue with fixed length and clear position.

[0066] S3.1.2: In the time series queue, a node group is formed by two adjacent co-labeled entries, and the node groups are connected in the queue order so that each node group contains the previous period entry and the next period entry, forming a hierarchically extended linked node group.

[0067] The node group contains the joint location point index and spatial segment number information of the previous cycle entry and the next cycle entry.

[0068] Furthermore, in cases where data is missing within a period, placeholder nodes or interpolation nodes are used in the node group to maintain link continuity, while also marking the source of the missing information for subsequent analysis reference.

[0069] S3.2: In this embodiment of the invention, the establishment of dynamically associated paragraphs includes:

[0070] S3.2.1: In each linked node group, read the spatial coordinates of two collaborative annotation entries in the spatial envelope layer, and compare the spatial segment numbers corresponding to the two spatial coordinates:

[0071] If two spatial segment numbers are adjacent, the node group is assigned to the same spatial segment; if they are not adjacent, the node group is marked as cross-spatial segment association, which is used to record temporal correlation and identify the spatial segment number it is associated with.

[0072] Furthermore, clustering or proximity determination algorithms are used for spatial coordinates to ensure that small offsets or acquisition errors do not affect the spatial segment division, while generating a mapping table between node groups and spatial segments.

[0073] S3.2.2: In the structure of each spatial segment, all linked and related node groups belonging to the same spatial segment are connected in chronological order. At the same time, node groups marked as cross-spatial segment related are retained as link points in the dynamic related paragraphs, so that each spatial segment forms a linear paragraph containing time extension relationships.

[0074] Specifically, for node groups marked as cross-segment associations, the start and end positions of the segment are retained as cross-segment link points, and the start and end spatial segment numbers and time segment numbers are recorded.

[0075] The connection order within a spatial segment follows a time-series queue to ensure that node groups within the segment maintain consistency in both the time envelope and spatial envelope layers.

[0076] S3.2.3: Connect all spatial segments in spatial order to form a dynamically related segment that includes both temporal order and spatial adjacency.

[0077] It should be noted that dynamically associated paragraphs only reflect the temporal order and spatial adjacency within the current collection period.

[0078] S4: Based on the generated hierarchical linkage links, divide the dynamically linked segments in the same area into partition joint management groups according to the association strength, and generate a corresponding set of operation guidelines for each partition joint management group.

[0079] S4.1: Based on the dynamic associated segment sequence of multiple acquisition cycles, if a dynamic associated segment appears continuously in M ​​or more inspection cycles within the same spatial segment, it is combined with other dynamic associated segments that meet this condition to form a continuous group within the segment; where M is a constant.

[0080] M is a set constant that can be adjusted according to the inspection frequency and management needs (for example, M=3 means it occurs in three consecutive cycles).

[0081] Furthermore, the generation of intra-segment combinations includes the following steps:

[0082] Candidate entries of consecutive paragraphs within the same spatial segment are combined according to the inspection cycle order in the time envelope layer to generate consecutive groups within the segment. During the combination process, the paragraphs are sorted according to the node group order and the joint location point index to ensure that the combined consecutive groups within the segment maintain temporal extensibility and spatial index consistency.

[0083] Add metadata to each dynamically related paragraph within a continuous group, including joint location point, spatial segment number, and data source type, to ensure that each paragraph can be traced individually.

[0084] As can be seen, this invention ensures that continuous groups within a segment can reflect the stability and importance of inspection data in the time dimension through multi-cycle continuity analysis; and avoids interference from abnormal segments in a single cycle in the division of management groups, thereby improving the accuracy and reliability of the joint management group of the partition.

[0085] S4.2: Between different spatial segments, the continuous groups within each spatial segment are connected according to the order of the node groups associated across spatial segments, and cross-segment connection groups are formed according to the order of the three-layer coding entries corresponding to the joint positioning point in the inspection cycle sequence.

[0086] S4.3: Within the same region, all cross-segment connection groups are merged based on the geographical coherence of the spatial segment sequences they contain: if the spatial segment sequences covered by two cross-segment connection groups overlap, or if the boundary spatial segments are adjacent in physical location, then a candidate group of partitions with continuous coverage is formed.

[0087] Specifically, for all cross-segment connection groups, the covered spatial segment sequence is read and the physical distance between adjacent groups is calculated. If the spatial segment sequences of two cross-segment connection groups overlap, or the physical distance between the boundary spatial segments is less than the threshold D meters (where D is a constant that can be set according to the site layout and management requirements, for example, D=50 meters), then the two cross-segment connection groups are combined into a partition candidate group.

[0088] Furthermore, cross-segment connection groups that meet the merging conditions are merged to form candidate partition groups with continuous coverage and adjacent geographical locations; spatial segment sequence, joint positioning point sequence and inspection cycle sequence are recorded for each candidate partition group in order to generate operation guidelines later.

[0089] During the merging process, the temporal order information within and across segments is preserved to ensure that the partition candidate group has a complete time-space index mapping.

[0090] S4.4: For each candidate group of partitions, extract the cross-cycle associated segment chain based on the order of appearance of the dynamically associated segments in the inspection cycle sequence, and calculate the frequency of appearance in the most recent N collection cycles. If the frequency of appearance exceeds the frequency threshold (e.g., 60%), a joint management group of partitions with periodic continuity is formed; where N is a constant, which can be set according to the inspection plan, for example, N=5.

[0091] For each partition joint management group, a corresponding set of operation guidelines is constructed according to the covered spatial segment sequence and inspection cycle sequence. The operation guidelines set provides a list of inspection focus points and corresponding spatial segments for different cycles. The operation guidelines set includes, but is not limited to, the following: the dynamically associated segment number and joint positioning point index of each spatial segment, the source types of multi-source data and their correspondence in the time-space dimension, cross-segment connection information, and prompts for continuous groups within segments.

[0092] The operation guide is stored in the form of a structured data table, and is accompanied by a visual map and time series prompts to facilitate intuitive operation by inspection personnel.

[0093] It should be noted that the operation guidance set maintains a corresponding relationship with the three-layer envelope structure of step S1, and supports re-entering the iterative adjustment process as new inspection data is added.

[0094] Furthermore, such as Figure 2 As shown, this embodiment also provides a water conservancy project management system based on multi-source inspection data fusion and correlation analysis, including:

[0095] The envelope acquisition module collects on-site inspection data, sensor inspection data, and historical archive inspection data according to the same acquisition cycle, and establishes an envelope structure for various types of inspection data within the same acquisition cycle using a hierarchical coding method.

[0096] The joint annotation module establishes joint positioning points on the temporal envelope layer for data from different inspection sources based on the envelope structure, and assigns collaborative annotation identifiers in the spatial envelope layer based on the joint positioning points, so that inspection data from different sources at the same joint positioning point form a set of collaborative annotation entries with consistent structure.

[0097] The association generation module, based on collaborative annotation entries, establishes hierarchical linkage association links in the time envelope layer according to the inspection cycle sequence, and generates dynamic association segments in the spatial envelope layer based on physical adjacency relationships.

[0098] The partition management module divides dynamically related segments within the same area into partition joint management groups according to the strength of the association, based on the generated hierarchical linkage links, and generates a corresponding set of operation guidelines for each partition joint management group.

[0099] This embodiment also provides a computer device applicable to the water conservancy project management method based on multi-source inspection data fusion and correlation analysis, including a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to realize the water conservancy project management method based on multi-source inspection data fusion and correlation analysis proposed in the above embodiment.

[0100] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0101] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, it implements the water conservancy project management method based on multi-source inspection data fusion and correlation analysis as proposed in the above embodiment.

[0102] In summary, this invention achieves spatiotemporal integration of multi-source inspection information by hierarchically encoding on-site inspection data, sensor inspection data, and historical archive data within a unified acquisition cycle and constructing a three-layer envelope structure. This enables cross-source data to achieve structurally consistent expression, improving the accuracy and traceability of data fusion. By establishing joint positioning points in the temporal envelope layer and assigning collaborative annotation identifiers in the spatial envelope layer, data from different sources form collaborative annotation entries with synchronous semantics, thereby significantly improving the alignment capability and comparative analysis efficiency of inspection information. Through the construction of hierarchical linkage links, the continuous evolution of the hydraulic structure status can be presented in the time series. At the same time, combined with the generation of dynamic linkage segments, spatiotemporal features can be captured synchronously, enhancing the sensitivity of abnormal change identification.

[0103] Furthermore, by dividing dynamically related paragraphs into management groups according to their correlation strength and generating operation guidance sets, regionalization, refinement, and adaptive decision-making of inspection management are achieved. This is conducive to optimizing inspection path planning, improving on-site response efficiency, and significantly enhancing the intelligent management capabilities and operational safety of water conservancy projects.

[0104] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A water conservancy project management method based on multi-source inspection data fusion and correlation analysis, characterized by: The method comprises the following steps: Collecting field inspection data, sensor inspection data and historical archive inspection data according to the same collection period, and establishing an envelope structure for each type of inspection data in the same collection period in a hierarchical coding manner; According to the envelope structure, joint positioning points of data from different inspection sources are established on the time envelope layer, and collaborative annotation identifiers are allocated in the space envelope layer according to the joint positioning points, so that the inspection data from different sources at the same joint positioning point form a group of collaborative annotation entries with consistent structure; Based on the collaborative annotation entries, a step-by-step linkage link is established in the time envelope layer according to the inspection period sequence, and a dynamic association paragraph is generated in the space envelope layer according to the physical adjacent relationship; According to the generated step-by-step linkage link, the dynamic association paragraph in the same region is divided into a partitioned joint management group according to the association strength, and a corresponding operation instruction set is generated for each partitioned joint management group; The construction of the envelope structure comprises the following steps: in the same collection period, field inspection data, sensor inspection data and historical archive inspection data are dynamically divided into a plurality of time segments according to the collection time stamp, and the data in each time segment is arranged in time sequence; in each time segment, a linkage index list is established in the order of spatial coordinates according to the collection positions of the three types of inspection data; based on the linkage index list, data instances in the field inspection data, sensor inspection data and historical archive inspection data are generated into three-layer coding entries according to the data source type, and the three-layer coding entries are correspondingly allocated to the time envelope layer, the space envelope layer and the structure envelope layer; based on the three-layer coding entries, the time segments are sequentially established into a time mapping sequence, and a space mapping sequence is generated according to the spatial order, and a structure mapping sequence is formed according to the data source type, so that the three types of mapping sequences form a three-layer envelope structure in the collection period. 2.The water conservancy project management method based on multi-source inspection data fusion and association analysis of claim 1, wherein: The envelope structure comprises a three-layer association framework of the time envelope layer, the space envelope layer and the structure envelope layer. 3.The water conservancy project management method based on multi-source inspection data fusion and association analysis of claim 2, characterized in that: The establishment of the linkage index list in the order of spatial coordinates comprises the following steps: The spatial coordinates of the three types of inspection data are converted to a unified coordinate system, and a space sequence point set is generated in the order of spatial position; In the space sequence point set, the spatial coordinates adjacent in distance are divided into a plurality of space segments, and the three types of inspection data are respectively placed in the same group according to the space segment to which they belong, so that each space segment corresponds to a group of cross-source inspection data; Inside each space segment, the three types of inspection data are generated into annotation entries in the order of spatial coordinates, so that the three annotation entries form a parallel relationship in the same space segment, and a continuous relationship between different space segments; All space segments are connected in sequence according to the arrangement order of the space sequence point set, so that the sequential annotation entries extend from the starting space segment to the terminal space segment, forming a complete linkage index list.

4. The water conservancy project management method based on multi-source inspection data fusion and association analysis according to claim 3, characterized in that: The allocation of collaborative annotation identifiers in the space envelope layer comprises the following steps: Based on the three-layer envelope structure, the time segments corresponding to the three-layer coding entries in the time envelope layer are determined as period nodes respectively; In a determined period node, three-layer coding entries corresponding to field inspection data, sensor inspection data and historical archive inspection data are arranged in order, and a joint positioning point is generated on each period node, which simultaneously points to corresponding coding entries in the time envelope layer, the space envelope layer and the structure envelope layer through index or coordinate mapping relationship; Based on the coding entries associated with the joint positioning point, the corresponding space segments of the three types of inspection data in the space envelope layer are paired to ensure that each joint positioning point corresponds to a space segment pairing set; The three types of inspection data in the space segment pairing set are allocated cooperative annotation identifiers in a fixed order, and a group of parallel arranged cooperative annotation entries are formed under the same joint positioning point, so that each cooperative annotation entry maintains a consistent structure in the time envelope layer and the space envelope layer.

5. The water conservancy project management method based on multi-source inspection data fusion and association analysis according to claim 4, characterized in that: The establishment of the step-by-step linkage association link includes: Based on the cooperative annotation entries in a single collection period, all cooperative annotation entries are arranged in order according to time segments in the time envelope layer, so that the arranged cooperative annotation entries form a time sequence queue with fixed length and clear position; In the time sequence queue, two adjacent cooperative annotation entries form a node group, and each node group is connected in order to form a step-by-step extended linkage association node group containing the last period entry and the next period entry; The establishment of the dynamic association paragraph includes: In each linkage association node group, the space coordinates of the two cooperative annotation entries in the space envelope layer are read and compared; If the two space segment numbers are adjacent, the node group is divided into the same space segment; if not, the node group is marked as a cross-space segment association; In the formed space segment structure, all linkage association node groups belonging to the same space segment are connected in time order, and the node groups marked as cross-space segment associations are reserved as link points in the dynamic association paragraph, so that each space segment forms a linear paragraph containing time extension relationship; All space segment paragraphs are concatenated in space segment order to form a dynamic association paragraph containing both time order and space adjacency. 6.The water conservancy project management method based on multi-source inspection data fusion and association analysis of claim 5, wherein: The division of the dynamic association paragraphs in the same region into subarea joint management groups according to the association strength includes: Based on the dynamic association paragraph sequence of multiple collection periods, in the same space segment, if a dynamic association paragraph appears continuously in M or more inspection periods, it is combined with other dynamic association paragraphs that meet this condition to form an intra-segment continuous group; where M is a constant; Between different space segments, the intra-segment continuous groups of each space segment are connected in the order of cross-space segment association node groups, and cross-segment connection groups are formed according to the order of three-layer coding entries corresponding to joint positioning points in the sequence of inspection periods; In the same region, all cross-segment connection groups are merged according to the geographical continuity of the space segment sequence they contain: if the space segment sequences covered by two cross-segment connection groups overlap, or the boundary space segments are adjacent in physical position, a subarea candidate group with continuous coverage range is formed; For each partition candidate group, according to the appearance order of the dynamic associated paragraphs in the sequence of inspection periods, a cross-period associated paragraph chain is extracted, and the appearance frequency in the last N collection periods is calculated, if the appearance frequency exceeds the frequency threshold, a partition joint management group with period continuity is formed; wherein N is a constant.

7. A water conservancy project management system based on multi-source inspection data fusion and correlation analysis, based on the water conservancy project management method based on multi-source inspection data fusion and correlation analysis of any one of claims 1-6, characterized in that: Also includes: An envelope collection module collects the field inspection data, the sensor inspection data and the historical archive inspection data according to the same collection period, and establishes an envelope structure in a hierarchical coding manner for the various types of inspection data in the same collection period; A joint labeling module establishes joint positioning points on the time envelope layer for the data from different inspection sources according to the envelope structure, and distributes cooperative labeling marks in the space envelope layer according to the joint positioning points, so that the inspection data from different sources at the same joint positioning point form a group of cooperative labeling items with consistent structure; An association generation module establishes a step-by-step linkage association link in the time envelope layer according to the inspection period sequence based on the cooperative labeling items, and generates dynamic associated paragraphs in the space envelope layer according to the physical adjacent relationship; A partition management module divides the dynamic associated paragraphs in the same area into partition joint management groups according to the association strength based on the generated step-by-step linkage association link, and generates a corresponding operation instruction set for each partition joint management group.

8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that: The processor executes the computer program to realize the steps of the water conservancy project management method based on multi-source inspection data fusion and association analysis according to any one of claims 1-6.

9. A computer readable storage medium having stored thereon a computer program, characterized in that: The computer program is executed by the processor to realize the steps of the water conservancy project management method based on multi-source inspection data fusion and association analysis according to any one of claims 1-6.

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