Quantitative characterization method and device based on ultraviolet fluorescence response spatio-temporal topology analysis

Abstract

The invention discloses a quantitative characterization method and device based on ultraviolet fluorescence response spatio-temporal topology analysis, and relates to the technical field of water body detection.The method comprises the steps that ultraviolet image sequence data of a target area is obtained, and an ultraviolet image time sequence data set is generated through time sequence arrangement and space alignment processing; traversing the fluorescence intensity sequence of each spatial pixel unit, determining first fluorescence response time according to a preset response judgment condition, and generating a label set; an ultraviolet fluorescence space-time topological graph is constructed based on the space adjacency relation, a space pixel unit is used as a topological node, and the first fluorescence response time difference is used as an edge weight; by performing path search on spatio-temporal topological data, determining a response propagation path set, calculating time gradient information and generating a quantization result vector, the problem of spatio-temporal behavior quantization caused by multi-starting-point and multi-branch propagation of ultraviolet fluorescence response in a water body ultraviolet sterilization process is solved; structured modeling and quantitative characterization of the fluorescence response propagation behavior are realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of water body detection, in particular to a quantitative characterization method and device based on ultraviolet fluorescence response spatiotemporal topology analysis. BACKGROUND

[0002] The ultraviolet fluorescence response technology is widely used in water disinfection and ultraviolet sterilization processes. Ultraviolet irradiation can cause specific fluorescence responses of dissolved organic matter, microbial structural units and suspended particulate matter in water. The time sequence changes of the signals can be used to monitor the ultraviolet irradiation intensity, the stability of the sterilization dose and the microbial inactivation process, thereby providing a data basis for photoelectric detection of water treatment.

[0003] In actual detection scenarios, the ultraviolet fluorescence response signal has spatial non-uniformity, time complexity and complex propagation mode. The signal distribution is uneven, which makes it difficult to correlate the response times of different spatial positions. The signal changes with time in a complex mode, which is easily affected by water flow fluctuations, local shielding of suspended particles and changes in ultraviolet irradiation stability, causing time drift, intensity mutation and non-monotonic changes. The response shows multi-start and multi-branch propagation in space, and multiple propagation links cross and interfere under complex flow conditions.

[0004] The existing technology based on the time extraction method of single-point fluorescence response cannot accurately identify the response sequence between spatial positions, lacks the ability to structurally model the spatiotemporal behavior of ultraviolet fluorescence response, and makes it difficult to quantitatively express the multi-start and multi-branch propagation behavior, thereby restricting the accurate monitoring and diagnosis of the water disinfection process. SUMMARY

[0005] In view of the above problems, the present application provides a quantitative characterization method and device based on ultraviolet fluorescence response spatiotemporal topology analysis. The ultraviolet fluorescence response time and spatial relationship are combined to construct a spatiotemporal topology graph, and quantitative characterization is realized based on path search, so as to realize the structural modeling and quantitative characterization of the ultraviolet fluorescence response propagation behavior in the ultraviolet sterilization process in water.

[0006] In a first aspect, the present application provides a quantitative characterization method based on ultraviolet fluorescence response spatiotemporal topology analysis, which comprises: Obtaining ultraviolet image sequence data of a target region, and performing time sequence arrangement and spatial alignment processing according to the time information and spatial position information of each ultraviolet image to generate an ultraviolet image time sequence data set; Based on the ultraviolet image time sequence data set, the fluorescence intensity sequence corresponding to each spatial pixel unit is processed, the first fluorescence response time is determined according to a preset response determination condition, and a first response time label set is generated; constructing an ultraviolet fluorescence spatiotemporal topology graph according to spatial adjacency relationships between spatial pixel units in the target region based on the first response time label set, to obtain response spatiotemporal topology data; Based on the ultraviolet fluorescence spatiotemporal topology graph, path searching is performed on the response spatiotemporal topology data to determine a response propagation path set, time gradient information on each path is calculated, and an ultraviolet fluorescence response propagation path quantization result vector is generated as a quantitative representation output of the ultraviolet fluorescence response spatiotemporal behavior of the target region.

[0007] In some embodiments, the aligning and merging of the target data set using the time stamp comprises: The generating of the ultraviolet image time sequence data set comprises: The ultraviolet image sequence data is arranged in time sequence, all ultraviolet images are sorted based on the acquisition time stamp, and an ordered image sequence is formed. The spatially aligned processing is performed on the sorted ultraviolet images, and an image registration technology is used to uniformly map images at different times to the same target region reference coordinate system. A double-index image sequence set is constructed with the spatial coordinates of the spatial pixel units in the target region as the index key and the ultraviolet image pixel value sequence under the corresponding time information as the index value.

[0008] In some embodiments, the preset response determination condition comprises a background baseline removal rule, an intensity change amplitude rule, and a continuous duration rule; and the method further comprises: Before determining the first fluorescence response time, a background baseline calibration is performed on the fluorescence intensity sequence to remove the influence of the initial time period based on the baseline reference value.

[0009] In some embodiments, the constructing of the ultraviolet fluorescence spatiotemporal topology graph according to the spatial adjacency relationships between the spatial pixel units in the target region comprises: The spatial pixel units are taken as topology nodes, and the node attribute is the first fluorescence response time of the corresponding spatial pixel unit. The first fluorescence response time difference between any adjacent spatial pixel units is taken as the edge weight of the topology edge. A topology connection structure is established based on a preset adjacency relationship determination template, and the template defines the neighborhood range between the spatial pixel units.

[0010] In some embodiments, the edge weight of the topology edge performs edge weight symbol recording processing; and the method further comprises: In the path searching process, the edge weight symbol is based on the edge weight symbol checking, the node time consistency checking, and the time difference abnormality elimination.

[0011] In some embodiments, the path searching on the response spatiotemporal topology data comprises: Take the topological node with the earliest first fluorescent response time in the ultraviolet fluorescent spatiotemporal topology graph as the starting point of path searching; Recursively expand the path node sequence, and perform monotonicity judgment of the time progression direction on the adjacent topological nodes based on the edge weight information of the topological edge; When the first fluorescent response time of the adjacent node is greater than that of the current node and the edge weight signs are consistent, the adjacent node is added to the path sequence, otherwise the expansion is terminated.

[0012] In some embodiments, the time gradient information is a time gradient vector formed according to the first fluorescent response time difference of the adjacent nodes in the path node sequence; and the ultraviolet fluorescent response propagation path quantization result vector includes a path length, a path time gradient vector, a path time gradient direction identifier, and a path time gradient consistency indicator.

[0013] In some embodiments, when the path node sequence is recursively expanded, the method further includes: performing multi-branch path detection on the topological nodes outside the starting point of path searching, and when multiple candidate paths are detected, selecting an optimal path based on the path time gradient consistency indicator.

[0014] In some embodiments, the ultraviolet fluorescent response propagation path quantization result vector is used for external processing modules to verify water disinfection effect, evaluate equipment state, or monitor water quality process.

[0015] In a second aspect, an embodiment of the present application provides a device for quantitatively characterizing based on ultraviolet fluorescent response spatiotemporal topology analysis, including: An acquisition module is configured to acquire ultraviolet image sequence data of a target region, perform time sequence arrangement and spatial alignment processing according to the time information and spatial position information of each ultraviolet image, and generate an ultraviolet image time sequence dataset; A fluorescent response analysis module is configured to perform traversal processing on a fluorescent intensity sequence corresponding to each spatial pixel unit based on the ultraviolet image time sequence dataset, determine a first fluorescent response time according to a preset response determination condition, and generate a first response time label set; A spatiotemporal topology construction module is configured to construct an ultraviolet fluorescent spatiotemporal topology graph based on the first response time label set and according to the spatial adjacency relationship between spatial pixel units in the target region, and obtain response spatiotemporal topology data; A characterization output module is configured to perform path searching on the response spatiotemporal topology data based on the ultraviolet fluorescent spatiotemporal topology graph, determine a response propagation path set, calculate time gradient information on each path, and generate an ultraviolet fluorescent response propagation path quantization result vector as a quantitatively characterized output of the ultraviolet fluorescent response spatiotemporal behavior of the target region.

[0016] The embodiment of the present application provides a kind of quantitative characterization method and device based on ultraviolet fluorescence response space-time topology analysis, based on the ultraviolet fluorescence response time is constructed ultraviolet fluorescence space-time topology diagram according to spatial pixel unit, the fluorescence response generated in the ultraviolet sterilization process in water can be converted into data expression with spatial structure relationship from original discrete time series form, solve the problem that fluorescence response time cannot form stable spatial correlation caused by water flow, local shielding and light disturbance, by executing path search and time gradient calculation on ultraviolet fluorescence space-time topology diagram, realize the propagation process of ultraviolet fluorescence response in space-time dimension is uniformly described, solve the problem that response behavior is difficult to quantitatively express caused by ultraviolet response multi-start propagation, multi-branch propagation and link cross.

[0017] It should be understood that the content described in this part is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0018] The present application will be described in more detail below based on embodiments and with reference to the accompanying drawings.

[0019] Figure 1 A flow chart of a quantitative characterization method based on ultraviolet fluorescence response space-time topology analysis is shown in an embodiment of the present application; Figure 2 A structure block diagram of a quantitative characterization device based on ultraviolet fluorescence response space-time topology analysis is shown in an embodiment of the present application. DETAILED DESCRIPTION

[0020] To make the purpose, technical scheme and advantages of the present application clearer, further detailed description will be made to the present application by combining with embodiments and drawings, the illustrative embodiments of the present application and their description are only used to explain the present application, and not as a limitation to the present application.

[0021] In water disinfection and ultraviolet sterilization process, ultraviolet irradiation will cause specific ultraviolet fluorescence response of dissolved organic matter, microbial structural unit and suspended particulate matter in water body, and the timing change of ultraviolet fluorescence signal can be used to reflect the ultraviolet irradiation intensity, sterilization dose stability and microbial inactivation process in water body, therefore, using ultraviolet image or ultraviolet fluorescence detection means to monitor and analyze water disinfection process has become an important research direction in the field of water treatment photoelectric detection technology; Such detection process usually relies on ultraviolet imaging equipment to record the fluorescence response change under different irradiation intensity and different water flow rate conditions, so as to provide data basis for water disinfection effect verification, water quality process monitoring and operation state diagnosis.

[0022] The inventor found that in the actual ultraviolet sterilization detection scene in water, the ultraviolet fluorescence response signal has the characteristics of uneven spatial distribution, complex time variation mode, and significant influence of light disturbance, making it difficult to directly model the ultraviolet fluorescence response time variation process at different spatial positions. Water flow fluctuations can cause time drift of the fluorescence response at the same spatial position, local shielding of suspended particles in the water can cause fluorescence intensity mutation, and changes in ultraviolet irradiation stability can cause non-monotonic changes in the response signal in the time series. These factors make it difficult for traditional single-point fluorescence response-based time extraction methods to accurately identify the response sequence between different spatial positions. At the same time, the ultraviolet fluorescence response in the water exhibits a multi-start, multi-branch propagation mode in space, and under complex flow conditions, multiple propagation links can interfere with each other.

[0023] To solve the above problems, the present application provides a quantitative characterization method and device based on ultraviolet fluorescence response spatiotemporal topology analysis to solve the problem of the ultraviolet fluorescence response in water exhibiting a multi-start, multi-branch propagation mode in space and multiple propagation links interfering with each other under complex flow conditions. The present application combines the ultraviolet fluorescence response time and spatial relationship, constructs a spatiotemporal topology graph, and realizes quantitative characterization based on path search, thereby realizing structured modeling and quantitative characterization of the ultraviolet fluorescence response propagation behavior in the ultraviolet sterilization process in water.

[0024] The quantitative characterization method based on ultraviolet fluorescence response spatiotemporal topology analysis is described in detail in subsequent embodiments.

[0025] The application scenario of the quantitative characterization method based on ultraviolet fluorescence response spatiotemporal topology analysis provided in the embodiments of the present application is described below: Please refer to Figure 1 , Figure 1 The quantitative characterization method based on ultraviolet fluorescence response spatiotemporal topology analysis provided in the embodiments of the present application is described below: Figure 2 The quantitative characterization method based on ultraviolet fluorescence response spatiotemporal topology analysis provided in the embodiments of the present application is described below: Figure 1 The quantitative characterization method based on ultraviolet fluorescence response spatiotemporal topology analysis provided in the embodiments of the present application is described below:

[0026] S110: Obtain the ultraviolet image sequence data of the target area, and perform time sequence arrangement and spatial alignment processing according to the time information and spatial position information of each ultraviolet image to generate an ultraviolet image time sequence data set.

[0027] In the embodiments of the present application, the time information is the acquisition time stamp recorded when the ultraviolet imaging device acquires each frame of image, and the spatial position information is the imaging geometric parameter corresponding to each frame of image and the spatial correspondence in the image coordinate system.

[0028] The time sequence arrangement sorts all ultraviolet images according to the acquisition time stamp based on the time information, forming an ordered image sequence; the spatial alignment processing adopts image registration technology, geometric correction based on feature point matching or coordinate transformation technology based on external pose parameters, to uniformly map images at different times to the same target area reference coordinate system, ensuring that the same spatial position corresponds to the same coordinate in all images.

[0029] After generating the ultraviolet image time sequence dataset, the structure is a double-index image sequence set composed of spatial pixel unit index and time information index combination, supporting subsequent analysis.

[0030] In the embodiments, in actual detection, ultraviolet image data often causes analysis errors due to acquisition time dislocation or non-uniform spatial reference, and this step solves the problem of insufficient data preprocessing through time arrangement and spatial alignment, providing a consistent reference for fluorescence response analysis.

[0031] In some embodiments, generating the ultraviolet image time sequence dataset in S110 includes S111-S113.

[0032] S111: Time sequence arrangement of the ultraviolet image sequence data, sorting all ultraviolet images based on the acquisition time stamp, forming an ordered image sequence.

[0033] In the embodiments of the present application, the time sequence arrangement extracts the acquisition time stamp of each frame of image by iteratively traversing the ultraviolet image sequence, and arranges it in ascending or descending order of time, forming a continuous sequence in the time dimension. This ensures the continuity of the fluorescence intensity sequence on the time axis, avoiding response misjudgment caused by time jumping.

[0034] In view of the fact that water flow velocity fluctuation may cause image acquisition time disorder, this sub-step eliminates time deviation by forced sorting, ensuring the accuracy of subsequent response time extraction.

[0035] S112: Spatial alignment processing of the sorted ultraviolet images, using image registration technology to uniformly map images at different times to the same target area reference coordinate system.

[0036] In the embodiments of the present application, the spatial alignment processing identifies common spatial features in different images based on feature point matching algorithm, calculates the transformation matrix between images, and maps all images to the reference coordinate system; so that each spatial pixel unit has a fixed position in the time sequence, reducing the coordinate drift caused by changes in imaging angle.

[0037] In view of the fact that the ultraviolet image may be spatially offset due to device movement or vibration, the sub-step eliminates spatial inconsistency through registration technology to provide a stable basis for spatial topology construction.

[0038] S113: Construct a double-index image sequence set, taking the spatial coordinates of the spatial pixel unit in the target region as the index key and the pixel value sequence of the ultraviolet image under the corresponding time information as the index value.

[0039] In the embodiments of the present application, the spatial pixel unit is a fixed coordinate unit in the image after alignment, and each unit has the same index in all images. The structure of the double-index set is a hash table or a multi-dimensional array, which can quickly retrieve the pixel value sequence by taking the coordinates as the key, thereby improving the time sequence query efficiency.

[0040] In view of the fact that the traditional image data management method cannot efficiently support spatio-temporal correlation query, the sub-step optimizes data storage through a double-index structure to facilitate subsequent traversal processing.

[0041] S120: Based on the ultraviolet image time sequence data set, the fluorescence intensity sequence corresponding to each spatial pixel unit is processed, the first fluorescence response time is determined according to the preset response determination condition, and a first response time label set is generated.

[0042] In the embodiments of the present application, the traversal processing takes the spatial pixel unit as the index, sequentially reads the fluorescence intensity sequence, i.e., the sequence of pixel values changing with time, and scans each time point through a sliding window or an iteration pointer. The preset response determination condition includes a background baseline removal rule, an intensity change amplitude rule, and a continuous duration rule: the background baseline removal rule takes the statistical value of the intensity sequence in the initial time period, such as setting the mean value, as the baseline, and the subsequent data is removed from the influence of the baseline; the intensity change amplitude rule compares the net change with a preset threshold; the continuous duration rule requires that the change state last for more than a duration threshold. The first fluorescence response time is the time point at which all the rules are first satisfied, and the label set takes the spatial pixel unit as the key and the time as the value.

[0043] In view of the fact that the fluorescence signal is easily disturbed by noise and baseline drift in actual application, the multi-rule joint determination is used to solve the problem of unstable response time extraction and improve the reliability.

[0044] In some embodiments, the preset response determination condition includes a background baseline removal rule, an intensity change amplitude rule, and a continuous duration rule, and before determining the first fluorescence response time, the background baseline of the fluorescence intensity sequence is calibrated to remove the influence of the initial time period with reference to the baseline reference value.

[0045] In the embodiments of the present application, the background baseline calibration calculates the baseline value based on the fluorescence intensity sequence of the spatial pixel unit in the initial time period, and subtracts the baseline in the entire sequence to obtain the net change amount, so as to ensure that the response determination is based on the true change rather than the baseline fluctuation. In view of the possible environmental light interference in the initial stage of ultraviolet irradiation, the baseline calibration solves the signal distortion problem and improves the determination accuracy.

[0046] S130: Based on the first response time tag set, a spatial adjacency relationship between spatial pixel units in the target area is constructed to obtain response spatio-temporal topology data.

[0047] In the embodiments of the present application, the spatial adjacency relationship is determined based on a preset adjacency relationship determination template, such as a four-neighbor or eight-neighbor template, and the template defines the connectivity between pixel units. The spatio-temporal topology graph takes the spatial pixel unit as a topology node, and the node attribute is the first fluorescence response time. The time difference between adjacent units is taken as the edge weight of the topology edge, and the edge weight contains symbolic information, in which the positive and negative can represent the time progression direction. The construction process traverses all nodes and edges through a graph generation algorithm, such as neighborhood scanning, to form a node set and an edge set.

[0048] Since the ultraviolet fluorescence response has multiple starting points and is difficult to associate in space, the topology graph is used to convert discrete time data into a spatial structure to solve the modeling problem of propagation relationship.

[0049] In some embodiments, the construction of the ultraviolet fluorescence spatio-temporal topology graph based on the spatial adjacency relationship between the spatial pixel units in the target area in S130 includes S131 to S133, wherein: S131: Taking the spatial pixel unit as a topology node, the node attribute is the first fluorescence response time of the corresponding spatial pixel unit.

[0050] In the embodiments of the present application, each spatial pixel unit has a unique spatial coordinate identifier after completing the spatial alignment processing, which is taken as the basic node unit of the topology graph. The node attribute stores the first fluorescence response time value determined in the S120 step, and the time value is stored in the format of time stamp or relative time. The generation of the topology node is realized by traversing all spatial pixel units, and a node data structure is created for each unit, in which the node ID is generated based on the spatial coordinate, and the attribute field records the first fluorescence response time. This ensures that the time information of each spatial position can be integrated into the topology structure. In view of the uneven distribution of ultraviolet fluorescence response in space, taking the spatial pixel unit as the topology node can effectively maintain the spatial resolution and provide a fine spatial basis for subsequent propagation path analysis.

[0051] S132: Taking the first fluorescence response time difference between any adjacent spatial pixel units as the edge weight of the topology edge.

[0052] In the embodiment of the application, the establishment of the topological edge is based on spatial adjacency relationship. For any two spatially adjacent pixel units, the difference between their first fluorescence response times is calculated as the weight value of the connecting edge. The edge weight calculation includes absolute value and sign. The absolute value can be used to represent the size of the time difference, and the sign can be used to represent the direction of time progression. A positive sign indicates time progression, and a negative sign indicates time regression. The edge weight attribute record is stored in a structured manner, including time difference value, sign identifier, and associated node pair information. The edge weight symbol record processing is performed on the edge weight of the topological edge. This step converts the time information into topological relationship through edge weight calculation, providing a quantitative basis for spatiotemporal propagation analysis and directional information for subsequent path search.

[0053] S133: Establish a topological connection structure based on a preset adjacency relationship judgment template. The template defines the neighborhood range between spatial pixel units.

[0054] In the embodiment of the application, the preset adjacency relationship judgment template uses the neighborhood definition method commonly used in image processing, including a four-neighborhood template or an eight-neighborhood template. The template determines the connection relationship between spatial pixel units by defining the neighborhood radius and direction set. The establishment of the topological connection structure is performed by traversing all spatial pixel units and applying the neighborhood template to each unit to identify its adjacent units, thereby generating an edge set for the entire image. Considering that different application scenarios may require different spatial granularity, this step provides flexibility through a configurable adjacency relationship template, ensuring the rationality of the topological connection and adapting to different spatial analysis needs. The topological graph can accurately reflect the potential paths of fluorescence response propagation in the target region.

[0055] In some embodiments, the edge weight of the topological edge performs edge weight symbol record processing. The method further includes: in the path search process, based on the edge weight symbol, performing edge weight symbol checking, node time consistency checking, and time difference abnormality elimination. In the embodiment of the application, the edge weight symbol record processing stores the symbol synchronously when calculating the time difference. The edge weight symbol checking checks the consistency of the symbol and the progression direction, and corrects when inconsistent. The node time consistency checking verifies the monotonicity of the path node time sequence. The time difference abnormality elimination filters abnormal values based on a preset time difference interval. This embodiment solves the problem of unreliable topological data by multiple checks.

[0056] S140: Based on the ultraviolet fluorescence spatiotemporal topological graph, performing path search on the response spatiotemporal topological data, determining a response propagation path set, calculating the time gradient information on each path, and generating an ultraviolet fluorescence response propagation path quantitative result vector as the quantitative representation output of the ultraviolet fluorescence response spatiotemporal behavior of the target region.

[0057] In the embodiments of the present application, the path search takes the node with the earliest response time in the topological graph as the starting point, recursively expands adjacent nodes, and performs monotonicity judgment based on the edge weight symbol and time difference: only when the adjacent node time is greater than the current node and the edge weight symbol is consistent, it is added to the path. The time gradient information is the time gradient vector formed by the time difference of the adjacent nodes of the path, and the quantization result vector includes the path length, the time gradient vector, the direction identifier and the consistency index. The output vector is used for further analysis by external modules.

[0058] In view of the quantization difficulty caused by the intersection of multi-branch propagation paths, this step uniformly describes the propagation behavior through path search and time gradient calculation to realize structured output.

[0059] In some embodiments, the path search on the response spatio-temporal topological data in S140 includes S141-S143, wherein: S141: Take the topological node with the earliest first fluorescence response time in the ultraviolet fluorescence spatio-temporal topological graph as the starting point of path search.

[0060] In the embodiments of the present application, the determination of the starting point of path search is performed by traversing the first fluorescence response time attribute of all topological nodes in the spatio-temporal topological graph, and identifying the node with the smallest time value as the search starting point. In specific implementation, the minimum heap sorting algorithm or linear scanning method can be used to quickly locate the earliest response node, ensuring that the search starts from the initial response position in the time dimension. The selection of the starting point node provides a spatio-temporal reference for subsequent path expansion, ensuring the continuity of the propagation path in the time dimension. When there are multiple starting points of ultraviolet fluorescence response, taking the earliest response node as a single starting point can ensure that the main propagation path is identified, providing clear time for subsequent analysis.

[0061] S142: Recursively expand the path node sequence, and perform monotonicity judgment on the adjacent topological nodes in the time progressive direction based on the edge weight information of the topological edge.

[0062] In the embodiments of the present application, the recursive expansion is realized by using the depth-first search algorithm, starting from the starting point node and sequentially accessing its adjacent nodes. The specific process of monotonicity judgment includes: obtaining the edge weight information of the topological edge between the current node and the adjacent node, verifying whether the first fluorescence response time of the adjacent node is greater than the current node, and whether the edge weight symbol represents the time increasing direction. A path stack is maintained during the recursive process to record the current path node sequence, ensuring the logical consistency of the expansion. This step takes into account that water flow may cause complex and variable propagation direction of fluorescence response, and this step ensures the logical rationality of the identified path in the time dimension through strict monotonicity judgment, avoiding the confusion of the path caused by time backtracking.

[0063] S143: When the first fluorescent response time of the adjacent node is greater than the current node and the edge weight symbol is consistent, it is added to the path sequence, otherwise the expansion is terminated.

[0064] In the embodiment of the present application, the termination condition of path expansion is double judgment: time progression relationship and edge weight symbol consistency. The time progression relationship is, for example, the adjacent node time is greater than the current node time. The edge weight symbol consistency is, for example, the symbol represents a positive time difference. When either condition is not met, the expansion in the current direction is immediately terminated, and the search in other directions is continued from the last node. This effectively prevents infinite recursion or the generation of invalid paths, ensuring the efficiency and quality of path search.

[0065] In some embodiments, the time gradient information is a time gradient vector formed according to the first fluorescent response time difference of the adjacent nodes in the path node sequence; and the ultraviolet fluorescent response propagation path quantization result vector includes a path length, a path time gradient vector, a path time gradient direction identifier, and a path time gradient consistency index.

[0066] In the embodiment, the time gradient vector stores the time difference in node order, the direction identifier is the uniform consistency of the vector symbol, and the consistency index calculates the coefficient of variation of the time difference to quantify the spatiotemporal characteristics of the propagation behavior for efficient comparison and analysis.

[0067] In some embodiments, when recursively expanding the path node sequence, it also includes: performing multi-branch path detection on the topological nodes outside the path search starting point, and when detecting multiple candidate paths, selecting the optimal path based on the path time gradient consistency index.

[0068] In the embodiment, the multi-branch path detection identifies all possible paths from the starting point through a graph traversal algorithm, and the consistency index evaluates the time difference stability of each path to avoid the ambiguity of the results caused by multi-branch propagation.

[0069] In some embodiments, the ultraviolet fluorescent response propagation path quantization result vector is used by an external processing module for water disinfection effect verification, equipment state evaluation, or water quality process monitoring.

[0070] In the embodiment, the external processing module can be a monitoring unit of a water treatment system, which uses the quantization result vector to evaluate sterilization efficiency or diagnose equipment abnormalities.

[0071] In summary, the application obtains the ultraviolet image sequence data of the target region, generates the ultraviolet image time sequence dataset through time sequence arrangement and spatial alignment processing; traverses the fluorescence intensity sequence of each spatial pixel unit, determines the first fluorescence response time according to the preset response determination condition, and generates a label set; constructs the ultraviolet fluorescence space-time topology graph based on the spatial adjacency relationship, taking the spatial pixel unit as the topology node and the first fluorescence response time difference as the edge weight; determines the response propagation path set by performing path search on the space-time topology data, calculates the time gradient information, and generates a quantization result vector, solves the space-time behavior quantization problem caused by the multiple starting points and multiple branch propagation of the ultraviolet fluorescence response in the water body ultraviolet sterilization process, realizes the structured modeling and quantitative characterization of the fluorescence response propagation behavior, and provides a reliable basis for water disinfection effect verification and equipment state evaluation.

[0072] Please refer to Figure 2 , Figure 2 A structure block diagram of a quantitative characterization device 300 based on ultraviolet fluorescence response space-time topology analysis provided by the application, comprising: an acquisition module 310, a fluorescence response analysis module 320, a space-time topology construction module 330 and a characterization output module 340, wherein: The acquisition module 310 is used for acquiring the ultraviolet image sequence data of the target region, and generating the ultraviolet image time sequence dataset through time sequence arrangement and spatial alignment processing according to the time information and spatial position information of each ultraviolet image.

[0073] The fluorescence response analysis module 320 is used for traversing the fluorescence intensity sequence corresponding to each spatial pixel unit based on the ultraviolet image time sequence dataset, determining the first fluorescence response time according to the preset response determination condition, and generating a first response time label set.

[0074] The space-time topology construction module 330 is used for constructing the ultraviolet fluorescence space-time topology graph based on the first response time label set according to the spatial adjacency relationship between the spatial pixel units in the target region, and obtaining the response space-time topology data.

[0075] The characterization output module 340 is used for performing path search on the response space-time topology data based on the ultraviolet fluorescence space-time topology graph, determining the response propagation path set, calculating the time gradient information on each path, and generating the ultraviolet fluorescence response propagation path quantization result vector as the quantitative characterization output of the ultraviolet fluorescence response space-time behavior of the target region.

[0076] It should be noted that the device embodiment in the application corresponds to the foregoing method embodiment, and the specific principles in the device embodiment can be referred to the content in the foregoing method embodiment, which will not be described here.

[0077] In several embodiments provided in the present embodiment, the coupling between the modules can be electrical, mechanical or other forms of coupling.

[0078] In addition, each functional module in each embodiment of the present application can be integrated in one processing module, or each module can exist physically alone, or two or more modules can be integrated in one module. The integrated module can be realized in the form of hardware or in the form of a software functional module.

[0079] The present application also provides an electronic device that can execute the quantitative characterization method based on the ultraviolet fluorescence response spatiotemporal topology analysis described above. The electronic device can be a communication device, a mobile phone, a computer or a portable computer, etc.

[0080] The electronic device further includes a processor and a memory. The memory stores a program that can execute the content in the foregoing embodiments, and the processor can execute the program stored in the memory.

[0081] The present application also provides a computer readable storage medium. The computer readable storage medium stores program codes, and the program codes can be called by a processor to execute the method described in the method embodiments.

[0082] The present application also provides a computer program product or a computer program. The computer program product or the computer program includes computer instructions stored in a computer readable storage medium. A processor of a computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions to make the computer device execute the quantitative characterization method based on the ultraviolet fluorescence response spatiotemporal topology analysis described in the various optional implementation manners.

[0083] The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features can be replaced equivalently; and these modifications or replacements do not drive the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A quantitative characterization method based on spatiotemporal topological analysis of ultraviolet fluorescence response, characterized in that, The method includes: The ultraviolet image sequence data of the target area is obtained, and the time sequence and spatial alignment are performed according to the temporal and spatial information of each ultraviolet image to generate an ultraviolet image time series dataset. Based on the ultraviolet image time series dataset, the fluorescence intensity sequence corresponding to each spatial pixel unit is traversed, the first fluorescence response time is determined according to the preset response judgment condition, and the first response time label set is generated. Based on the first response time tag set, an ultraviolet fluorescence spatiotemporal topology map is constructed according to the spatial adjacency relationship between spatial pixel units within the target area to obtain response spatiotemporal topology data; Based on the aforementioned ultraviolet fluorescence spatiotemporal topology map, path search is performed on the response spatiotemporal topology data to determine the set of response propagation paths. The temporal gradient information on each path is calculated, and a vector of quantified results of ultraviolet fluorescence response propagation paths is generated as a quantitative characterization output of the spatiotemporal behavior of ultraviolet fluorescence response in the target region.

2. The quantitative characterization method based on spatiotemporal topological analysis of ultraviolet fluorescence response according to claim 1, characterized in that, The generated ultraviolet image time series dataset includes: The ultraviolet image sequence data is sorted chronologically based on the acquisition timestamp to form an ordered image sequence. The sorted ultraviolet images are spatially aligned, and image registration technology is used to map images from different times to the same target region reference coordinate system. A set of dual-indexed image sequences is constructed using the spatial coordinates of the spatial pixel unit in the target region as the index key and the ultraviolet image pixel value sequence under the corresponding time information as the index value.

3. The quantitative characterization method based on spatiotemporal topological analysis of ultraviolet fluorescence response according to claim 1, characterized in that, The preset response determination conditions include background baseline removal rules, intensity change amplitude rules, and continuous duration rules; the method further includes: Before determining the first fluorescence response time, background baseline calibration is performed on the fluorescence intensity sequence to remove the influence of the initial time period using baseline reference values.

4. The quantitative characterization method based on spatiotemporal topological analysis of ultraviolet fluorescence response according to claim 1, characterized in that, The step of constructing a spatiotemporal topology map of ultraviolet fluorescence based on the spatial adjacency relationship between spatial pixel units within the target region includes: Spatial pixel units are used as topological nodes, and the node attribute is the first fluorescence response time of the corresponding spatial pixel unit; The time difference of the first fluorescence response between any two adjacent spatial pixel units is used as the edge weight of the topological edge; A topological connection structure is established based on a preset adjacency relationship determination template, wherein the template defines the neighborhood range between spatial pixel units.

5. The quantitative characterization method based on spatiotemporal topological analysis of ultraviolet fluorescence response according to claim 4, characterized in that, The edge weights of the topological edges are processed by recording edge weight symbols; The method further includes: During the path search process, edge weight symbols are checked, node time consistency is checked, and time discrepancies are eliminated based on edge weight symbols.

6. The quantitative characterization method based on spatiotemporal topological analysis of ultraviolet fluorescence response according to claim 1, characterized in that, The path search of the response spatiotemporal topology data includes: The topological node with the earliest first fluorescence response time in the ultraviolet fluorescence spatiotemporal topology map is used as the starting point for path search. The recursive expansion of the path node sequence determines the monotonicity of the execution time progression direction of adjacent topological nodes based on the edge weight information of the topological edges. If the first fluorescence response time of an adjacent node is greater than that of the current node and the edge weights are the same, then the node is added to the path sequence; otherwise, the expansion is terminated.

7. The quantitative characterization method based on spatiotemporal topological analysis of ultraviolet fluorescence response according to claim 1, characterized in that, The time gradient information is a time gradient vector formed based on the time difference of the first fluorescence response of adjacent nodes in the path node sequence; the ultraviolet fluorescence response propagation path quantification result vector includes path length, path time gradient vector, path time gradient direction identifier and path time gradient consistency index.

8. The quantitative characterization method based on spatiotemporal topological analysis of ultraviolet fluorescence response according to claim 6, characterized in that, When recursively expanding the path node sequence, the method further includes: performing multi-branch path detection on topological nodes outside the path search starting point; when multiple candidate paths are detected, selecting the optimal path based on the path time gradient consistency index.

9. The quantitative characterization method based on spatiotemporal topological analysis of ultraviolet fluorescence response according to claim 1, characterized in that, The quantization result vector of the ultraviolet fluorescence response propagation path is used by the external processing module to verify the water disinfection effect, assess the equipment status, or monitor the water quality process.

10. A quantitative characterization device based on spatiotemporal topological analysis of ultraviolet fluorescence response, characterized in that, The device includes: The acquisition module is used to acquire ultraviolet image sequence data of the target area, and to perform temporal ordering and spatial alignment processing based on the temporal and spatial location information of each ultraviolet image to generate an ultraviolet image time series dataset. The fluorescence response analysis module is used to traverse the fluorescence intensity sequence corresponding to each spatial pixel unit based on the ultraviolet image time series dataset, determine the first fluorescence response time according to the preset response judgment conditions, and generate the first response time label set. The spatiotemporal topology construction module is used to construct an ultraviolet fluorescence spatiotemporal topology map based on the first response time tag set and the spatial adjacency relationship between spatial pixel units within the target area, thereby obtaining response spatiotemporal topology data; The characterization output module is used to perform path search on the response spatiotemporal topology data based on the ultraviolet fluorescence spatiotemporal topology map, determine the set of response propagation paths, calculate the temporal gradient information on each path, and generate a vector of quantified results of ultraviolet fluorescence response propagation paths, which serves as a quantitative characterization output of the spatiotemporal behavior of ultraviolet fluorescence response in the target region.

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