Drainage pipe network damage point detection method and device

Abstract

The invention provides a method and a device for detecting damage points of a drainage pipe network. The method comprises the following steps: acquiring water quality fluorescence fingerprint data corresponding to upstream and downstream target inspection nodes of the drainage pipe network respectively; performing water quality fluorescence fingerprint similarity comparison based on the water quality fluorescence fingerprint spectrum data to obtain a water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes; based on the water quality fluorescence fingerprint data of the upstream target inspection node and the water quality fluorescence fingerprint data of the downstream target inspection node, obtaining a water quality fluorescence fingerprint intensity change value between the upstream target inspection node and the downstream target inspection node; and based on the water quality fluorescence fingerprint similarity result and the water quality fluorescence fingerprint intensity change value, determining a comprehensive judgment result of damage between the upstream and downstream target inspection nodes of the drainage pipe network. The method provided by the invention is high in detection sensitivity and simple and convenient to operate, and can effectively improve the efficiency and accuracy of drainage pipe network damage result detection, so that the economic cost and the time cost are greatly reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental monitoring, and particularly to a method and device for detecting breakage points of a drainage pipe network. Additionally, it also relates to an electronic device, a non-transitory computer-readable storage medium, and a computer program product. Background Art

[0002] In the process of urbanization, as an important part of urban infrastructure, the underground drainage pipe network is directly related to the normal operation of the city and the quality of life of residents. However, due to the long-term burial of the drainage pipe network underground, the problem of breakage is relatively prominent. In areas with high groundwater levels, a large amount of external water floods into the underground drainage pipe network, resulting in very low pollutant concentrations in the influent of the sewage treatment plant and interfering with the operation of the sewage treatment plant. Therefore, how to quickly and accurately diagnose the breakage situation of the drainage pipe network has become the focus of research in the current field of drainage pipe network detection.

[0003] Traditional pipe network breakage detection methods mainly include methods such as leak listening, pressure testing, gas tracing, manual inspection, and video detection. Although these methods can, to a certain extent, detect breakage points of the pipe network, there are still problems such as many limitations in detection, low detection efficiency, poor accuracy, and high costs. Therefore, how to design a more efficient, accurate, and low-cost method for detecting the breakage situation of the pipe network has become a technical problem that needs to be solved urgently. Summary of the Invention

[0004] The present invention provides a method and device for detecting breakage points of a drainage pipe network to solve the defects in the existing technology that the detection scheme for the breakage situation of the drainage pipe network has high limitations, resulting in low detection efficiency, poor accuracy, and high costs in the actual detection of breakage points of the drainage pipe network.

[0005] The present invention provides a method for detecting breakage points of a drainage pipe network, including: Obtaining water quality fluorescence fingerprint map data corresponding to upstream and downstream target inspection nodes of the drainage pipe network respectively; wherein, the water quality fluorescence fingerprint map data includes the water quality fluorescence fingerprint map data of the upstream target inspection node of the drainage pipe network and the water quality fluorescence fingerprint map data of the downstream target inspection node of the drainage pipe network; Based on the water quality fluorescence fingerprint map data, performing a comparison of the similarity of the water quality fluorescence fingerprints to obtain a result of the similarity of the water quality fluorescence fingerprints between the upstream and downstream target inspection nodes; Based on the water quality fluorescence fingerprint map data of the upstream target inspection node and the water quality fluorescence fingerprint map data of the downstream target inspection node, obtaining a change value of the water quality fluorescence fingerprint intensity between the upstream and downstream target inspection nodes; Based on the water quality fluorescence fingerprint similarity result and the water quality fluorescence fingerprint intensity change value, determine the comprehensive judgment result of the breakage between the upstream and downstream target inspection nodes of the drainage pipe network, and determine the flow rate of external water entering the pipe network.

[0006] According to the method for detecting breakage points of a drainage pipe network according to the present invention, the obtaining of the water quality fluorescence fingerprint intensity change value between the upstream and downstream target inspection nodes based on the water quality fluorescence fingerprint spectrum data of the upstream target inspection node and the water quality fluorescence fingerprint spectrum data of the downstream target inspection node includes: Based on the water quality fluorescence fingerprint spectrum data of the upstream target inspection node, obtain the highest intensity of the water quality fluorescence fingerprint peak of the upstream target inspection node; Based on the water quality fluorescence fingerprint spectrum data of the downstream target inspection node, obtain the highest intensity of the water quality fluorescence fingerprint peak of the downstream target inspection node; Based on the highest intensity of the water quality fluorescence fingerprint peak of the upstream target inspection node and the highest intensity of the water quality fluorescence fingerprint peak of the downstream target inspection node, obtain the water quality fluorescence fingerprint intensity change value between the upstream and downstream target inspection nodes.

[0007] According to the method for detecting breakage points of a drainage pipe network according to the present invention, the determining of the comprehensive judgment result of the breakage between the upstream and downstream target inspection nodes of the drainage pipe network based on the water quality fluorescence fingerprint similarity result and the water quality fluorescence fingerprint intensity change value specifically includes: Compare the water quality fluorescence fingerprint similarity value in the water quality fluorescence fingerprint similarity result with a preset water quality fluorescence fingerprint similarity threshold indicating breakage to obtain a comparison result of the water quality fluorescence fingerprint similarity threshold indicating breakage; Compare the water quality fluorescence fingerprint intensity change value with a preset water quality fluorescence fingerprint intensity change threshold indicating breakage to obtain a comparison result of the water quality fluorescence fingerprint intensity change indicating breakage; According to the comparison result of the water quality fluorescence fingerprint similarity threshold indicating breakage and the comparison result of the water quality fluorescence fingerprint intensity change indicating breakage, obtain the comprehensive judgment result of the breakage between the upstream and downstream target inspection nodes of the drainage pipe network.

[0008] According to the method for detecting breakage points of a drainage pipe network according to the present invention, the obtaining of the water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes by performing water quality fluorescence fingerprint similarity comparison based on the water quality fluorescence fingerprint spectrum data specifically includes: Express the water quality fluorescence fingerprint intensity in the water quality fluorescence fingerprint spectrum data as a function of corresponding coordinates; Based on the function of the corresponding coordinates represented by the water quality fluorescence fingerprint intensity, perform normalization processing to obtain the normalized water quality fluorescence fingerprint spectrum data; Project the standardized water quality fluorescence fingerprint map data onto the plane formed by the x-axis and y-axis to obtain the corresponding plane function and the water quality fluorescence fingerprint map corresponding to the plane function; Perform smoothing processing on the water quality fluorescence fingerprint map corresponding to the plane function to obtain the smoothed water quality fluorescence fingerprint map; Use Harris corner detection to detect and extract feature points from the smoothed water quality fluorescence fingerprint map to obtain a set of feature points; Based on the set of feature points, perform similarity comparison to obtain the water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes.

[0009] According to the method for detecting break points in a drainage pipe network of the present invention, the water quality fluorescence fingerprint similarity comparison based on the water quality fluorescence fingerprint map data to obtain the water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes specifically includes: Perform data screening and standardization processing on the water quality fluorescence fingerprint map data to obtain the preprocessed water quality fluorescence fingerprint map data; Based on the preprocessed water quality fluorescence fingerprint map data, perform feature extraction to obtain a three-dimensional water quality fluorescence spectral feature vector; Input the three-dimensional water quality fluorescence spectral feature vector into a water quality fluorescence fingerprint similarity calculation model to calculate the water quality fluorescence fingerprint similarity, and obtain the water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes output by the water quality fluorescence fingerprint similarity calculation model; wherein, the water quality fluorescence fingerprint similarity calculation model is a machine learning algorithm model obtained by iterative training based on the water quality fluorescence fingerprint similarity result label corresponding to the sample three-dimensional water quality fluorescence spectral feature vector.

[0010] According to the method for detecting break points in a drainage pipe network of the present invention, the obtaining of the water quality fluorescence fingerprint map data corresponding to the upstream and downstream target inspection nodes of the drainage pipe network includes: performing water quality fluorescence fingerprint map detection on the water samples to be detected corresponding to the upstream and downstream target inspection nodes of the drainage pipe network respectively, and obtaining the water quality fluorescence fingerprint map data corresponding to the upstream and downstream target inspection nodes respectively.

[0011] The present invention also provides a device for detecting break points in a drainage pipe network, including: A water quality fluorescence fingerprint map testing module for obtaining the water quality fluorescence fingerprint map data corresponding to the upstream and downstream target inspection nodes of the drainage pipe network respectively; wherein, the water quality fluorescence fingerprint map data includes the water quality fluorescence fingerprint map data of the upstream target inspection node of the drainage pipe network and the water quality fluorescence fingerprint map data of the downstream target inspection node of the drainage pipe network; The water quality fluorescence fingerprint similarity comparison module is used to compare the water quality fluorescence fingerprints based on the water quality fluorescence fingerprint map data, and obtain the water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes; The water quality fluorescence fingerprint intensity change value calculation module is used to obtain the water quality fluorescence fingerprint intensity change value between the upstream and downstream target inspection nodes based on the water quality fluorescence fingerprint map data of the upstream target inspection node and the water quality fluorescence fingerprint map data of the downstream target inspection node; The damage identification and flow calculation module is used to determine the comprehensive judgment result of damage between the upstream and downstream target inspection nodes of the drainage pipe network based on the water quality fluorescence fingerprint similarity result and the water quality fluorescence fingerprint intensity change value, and determine the flow of external water entering the pipe network.

[0012] According to the detection device for the damage point of the drainage pipe network of the present invention, the obtaining of the water quality fluorescence fingerprint intensity change value between the upstream and downstream target inspection nodes based on the water quality fluorescence fingerprint map data of the upstream target inspection node and the water quality fluorescence fingerprint map data of the downstream target inspection node includes: Based on the water quality fluorescence fingerprint map data of the upstream target inspection node, obtain the highest intensity of the water quality fluorescence fingerprint peak of the upstream target inspection node; Based on the water quality fluorescence fingerprint map data of the downstream target inspection node, obtain the highest intensity of the water quality fluorescence fingerprint peak of the downstream target inspection node; Based on the highest intensity of the water quality fluorescence fingerprint peak of the upstream target inspection node and the highest intensity of the water quality fluorescence fingerprint peak of the downstream target inspection node, obtain the water quality fluorescence fingerprint intensity change value between the upstream and downstream target inspection nodes.

[0013] According to the detection device for the damage point of the drainage pipe network of the present invention, the determining of the comprehensive judgment result of damage between the upstream and downstream target inspection nodes of the drainage pipe network based on the water quality fluorescence fingerprint similarity result and the water quality fluorescence fingerprint intensity change value specifically includes: Compare the water quality fluorescence fingerprint similarity value in the water quality fluorescence fingerprint similarity result with a preset water quality fluorescence fingerprint similarity threshold indicating damage, and obtain a comparison result of the water quality fluorescence fingerprint similarity threshold indicating damage; Compare the water quality fluorescence fingerprint intensity change value with a preset water quality fluorescence fingerprint intensity change threshold indicating damage, and obtain a comparison result of the water quality fluorescence fingerprint intensity change indicating damage; According to the comparison result of the water quality fluorescence fingerprint similarity threshold indicating damage and the comparison result of the water quality fluorescence fingerprint intensity change indicating damage, obtain the comprehensive judgment result of damage between the upstream and downstream target inspection nodes of the drainage pipe network.

[0014] For the detection device of the drainage pipe network break points according to the present invention, the water quality fluorescence fingerprint similarity comparison is performed based on the water quality fluorescence fingerprint spectrum data to obtain the water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes, which specifically includes: Express the water quality fluorescence fingerprint intensity in the water quality fluorescence fingerprint spectrum data as a function of the corresponding coordinates; Perform normalization processing based on the function of the corresponding coordinates represented by the water quality fluorescence fingerprint intensity to obtain the normalized water quality fluorescence fingerprint spectrum data; Project the normalized water quality fluorescence fingerprint spectrum data onto the plane formed by the x-axis and y-axis to obtain the corresponding plane function and the water quality fluorescence fingerprint spectrum corresponding to the plane function; Perform smoothing processing on the water quality fluorescence fingerprint spectrum corresponding to the plane function to obtain the smoothed water quality fluorescence fingerprint spectrum; Use Harris corner detection to perform feature point detection and extraction on the smoothed water quality fluorescence fingerprint spectrum to obtain a feature point set; Perform similarity comparison based on the feature point set to obtain the water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes.

[0015] For the detection device of the drainage pipe network break points according to the present invention, the water quality fluorescence fingerprint similarity comparison is performed based on the water quality fluorescence fingerprint spectrum data to obtain the water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes, which specifically includes: Perform data screening and normalization processing on the water quality fluorescence fingerprint spectrum data to obtain the preprocessed water quality fluorescence fingerprint spectrum data; Perform feature extraction based on the preprocessed water quality fluorescence fingerprint spectrum data to obtain a three-dimensional water quality fluorescence spectrum feature vector; Input the three-dimensional water quality fluorescence spectrum feature vector into the water quality fluorescence fingerprint similarity calculation model to calculate the water quality fluorescence fingerprint similarity, and obtain the water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes output by the water quality fluorescence fingerprint similarity calculation model; wherein, the water quality fluorescence fingerprint similarity calculation model is a machine learning algorithm model obtained through iterative training based on the water quality fluorescence fingerprint similarity result labels corresponding to the sample three-dimensional water quality fluorescence spectrum feature vectors.

[0016] For the detection device of the drainage pipe network break points according to the present invention, obtaining the water quality fluorescence fingerprint spectrum data corresponding to the upstream and downstream target inspection nodes of the drainage pipe network includes: performing water quality fluorescence fingerprint spectrum detection on the water samples to be detected corresponding to the upstream and downstream target inspection nodes of the drainage pipe network, and obtaining the water quality fluorescence fingerprint spectrum data corresponding to the upstream and downstream target inspection nodes respectively.

[0017] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the detection method of the break point of the drainage pipe network as described in any one of the above is implemented.

[0018] The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the detection method of the break point of the drainage pipe network as described in any one of the above is implemented.

[0019] The present invention also provides a computer program product, including a computer program. When the computer program is executed by a processor, the detection method of the break point of the drainage pipe network as described in any one of the above is implemented.

[0020] The detection method and device for the break point of the drainage pipe network provided by the present invention obtain the water quality fluorescence fingerprint map data corresponding to the upstream and downstream target inspection nodes of the drainage pipe network respectively, compare the similarity of the water quality fluorescence fingerprints based on the water quality fluorescence fingerprint map data, obtain the water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes, and obtain the change value of the water quality fluorescence fingerprint intensity between the upstream and downstream target inspection nodes based on the water quality fluorescence fingerprint map data of the upstream target inspection node and the water quality fluorescence fingerprint map data of the downstream target inspection node. Finally, based on the water quality fluorescence fingerprint similarity result and the change value of the water quality fluorescence fingerprint intensity, the comprehensive judgment result of the break between the upstream and downstream target inspection nodes of the drainage pipe network is determined. The detection has high sensitivity and is easy to operate, can effectively improve the efficiency and accuracy of the detection of the break result of the drainage pipe network, and thus greatly reduces the economic cost and time cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0022] Figure 1 is one of the schematic flowcharts of the detection method of the break point of the drainage pipe network provided by the present invention.

[0023] Figure 2 is the second schematic flowchart of the detection method of the break point of the drainage pipe network provided by the present invention.

[0024] Figure 3 is the schematic structural diagram of the detection device for the break point of the drainage pipe network provided by the present invention.

[0025] Figure 4It is a schematic diagram of the operation of the detection device for the damaged point of the drainage pipe network provided by the present invention.

[0026] Figure 5 It is a schematic structural diagram of the electronic device provided by the present invention. Detailed implementation manners

[0027] To make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings in the present invention. Obviously, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present invention without creative efforts shall fall within the protection scope of the present invention.

[0028] The following combines Figures 1 - 5 Describe the detection method and device for the damaged point of the drainage pipe network of the present invention, and describe its embodiments in detail.

[0029] The following is a detailed description of the embodiments based on the detection method for the damaged point of the drainage pipe network described in the present invention. As Figure 1 shown, it is one of the schematic flowcharts of the detection method for the damaged point of the drainage pipe network provided by the present invention, and the specific implementation process includes the following steps: Step 101: Obtain the water quality fluorescence fingerprint map data corresponding to the upstream and downstream target inspection nodes of the drainage pipe network respectively; wherein, the water quality fluorescence fingerprint map data includes the water quality fluorescence fingerprint map data of the upstream target inspection node of the drainage pipe network and the water quality fluorescence fingerprint map data of the downstream target inspection node of the drainage pipe network.

[0030] In the embodiments of the present invention, before performing this step, it is necessary to pre-collect samples. By collecting water samples from the upstream and downstream target inspection nodes of the underground drainage pipe network, the water samples to be detected corresponding to the upstream and downstream target inspection nodes are obtained. Wherein, the target inspection nodes can be inspection well nodes respectively located upstream and downstream of the underground drainage pipe network. Further, the water quality fluorescence fingerprint method in the prior art can be used to detect the water quality fluorescence fingerprint map of the water samples to be detected, and the water quality fluorescence fingerprint map data corresponding to the upstream and downstream target inspection nodes are obtained.

[0031] Step 102: Compare the water quality fluorescence fingerprints based on the water quality fluorescence fingerprint map data to obtain the water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes.

[0032] In the embodiments of the present invention, the pipeline network breakage point diagnosis and detection device first needs to perform data standardization processing on the water quality fluorescence fingerprint spectrum data to obtain the standardized water quality fluorescence fingerprint spectrum data. Then, perform smoothing processing on the standardized water quality fluorescence fingerprint spectrum data to obtain the denoised water quality fluorescence fingerprint spectrum data. Finally, perform feature point extraction processing on the denoised water quality fluorescence fingerprint spectrum data to obtain all target feature points for characterizing the water quality fluorescence fingerprint spectrum data, and then perform water quality fluorescence fingerprint similarity processing based on the target feature points to obtain the water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes. Among them, the specific calculation methods for feature point extraction and similarity comparison of the denoised water quality fluorescence fingerprint spectrum data are as follows: In the process of performing feature point extraction processing on the denoised water quality fluorescence fingerprint spectrum data to obtain all target feature points for characterizing the water quality fluorescence fingerprint spectrum data, it specifically includes: expressing the water quality fluorescence fingerprint intensity in the measured water quality fluorescence fingerprint spectrum data as a function D(x,y) of its coordinates, where D(x,y) represents the data value at the point (x,y). Among them, μ and σ are the mean and standard deviation of D respectively.

[0033] Project the standardized water quality fluorescence fingerprint spectrum data (i.e., ) onto the plane formed by the x-axis and y-axis to obtain the plane function F and its corresponding water quality fluorescence fingerprint spectrum (i.e., image). The value of the plane function F is proportional to and use a Gaussian window to perform smoothing processing on the water quality fluorescence fingerprint spectrum corresponding to the plane function F to weaken the noise in the water quality fluorescence fingerprint spectrum. The corresponding algorithm for the smoothing processing is as follows: Furthermore, the present invention uses Harris corner detection for feature point detection: When a point in the image area of the water quality fluorescence fingerprint spectrum moves u and v units in both the x (representing the horizontal direction) and y (representing the vertical direction) directions at the same time, then the change amount E(x,y) of the pixel gray value under the point (x,y) is: Then the change amount of the pixel gray value caused by the window moving (u,v) in each direction is: Among them, w(x,y) is the window function at the position point (x,y), representing the weight of the gray values of each pixel in the neighborhood of the point (x,y) position, which is between 0 and 1. Harris corner detection is a computer vision algorithm used to detect corner points in an image.

[0034] Simplified approximation gives: where, [ ] represents a matrix; and respectively represent the partial derivatives of the planar function F with respect to x and y.

[0035] Furthermore, the corner response function R is defined as follows: where, det(M) represents the determinant of matrix M; trace(M) represents the trace of matrix M ; k is an empirical constant, and its value can be between 0.04 - 0.06.

[0036] Set the threshold threshold corresponding to the corner response function value. When R > threshold and it is a local maximum, determine the point (x, y) as a corner point, and record the point (x, y) as a feature point. All feature points are obtained through the above feature point extraction method to form a feature point set (i.e., all target feature points used to characterize the water quality fluorescence fingerprint map data).

[0037] Furthermore, after obtaining the feature point set, the existing Reeb graph construction and data similarity algorithm in the prior art can be used to process the feature point set to obtain the corresponding similarity, and this similarity is used as the water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes. The specific implementation process of using the Reeb graph construction and data similarity algorithm to process the feature point set to obtain the corresponding similarity includes: taking each feature point in the feature point set as a reference point, drawing an isogray line passing through this feature point in the image, and connecting the feature points on the same isogray line in the image. These isogray lines and the connections between the feature points divide the image into continuous region blocks, and a Reeb graph is constructed according to the enclosure and adjacent relationships between the region blocks. For two two-dimensional injective surface data to be matched, by matching the nodes in the two Reeb graphs, the similarity between the nodes is calculated, and the sum of the similarities of all matching nodes is the similarity between the two two-dimensional injective surface data.

[0038] In addition, the pipeline network break point diagnosis and detection device of the present invention can also obtain the preprocessed water quality fluorescence fingerprint spectrum data by performing data screening and standardization processing on the water quality fluorescence fingerprint spectrum data. Then, feature extraction is performed based on the preprocessed water quality fluorescence fingerprint spectrum data to obtain a three-dimensional water quality fluorescence spectrum feature vector. Finally, the three-dimensional water quality fluorescence spectrum feature vector is input into the water quality fluorescence fingerprint similarity calculation model to obtain the water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes output by the water quality fluorescence fingerprint similarity calculation model. Among them, the water quality fluorescence fingerprint similarity calculation model is a machine learning algorithm model obtained by iterative training based on the sample three-dimensional water quality fluorescence spectrum feature vector and the water quality fluorescence fingerprint similarity result label corresponding to the sample three-dimensional water quality fluorescence spectrum feature vector. That is, the similarity comparison and analysis of the present invention can be realized by using machine learning models such as Self-Organizing Map (SOM), Convolutional Neural Networks (CNN), Principal Component Analysis (PCA), and Support Vector Machine (SVM). The following takes the self-organizing map neural network model (i.e., one of the water quality fluorescence fingerprint similarity calculation models) as an example, and the specific implementation steps are as follows: First, data screening and standardization are performed, that is, data screening and standardization processing are performed on the water quality fluorescence fingerprint spectrum data to obtain the preprocessed water quality fluorescence fingerprint spectrum data. Specifically, outliers, noise, and interference signals in the water quality fluorescence fingerprint spectrum data are removed to ensure the accuracy and reliability of the data. The water quality fluorescence fingerprint spectrum data can also be processed by normalization or standardization methods to remove Raman scattering and Rayleigh scattering of the spectrum and convert the fluorescence intensity into Raman intensity for subsequent processing.

[0039] Then, feature extraction is performed, that is, feature extraction is performed based on the preprocessed water quality fluorescence fingerprint spectrum data to obtain a three-dimensional water quality fluorescence spectrum feature vector. Specifically, key features are extracted from the three-dimensional water quality fluorescence spectrum, such as three-dimensional water quality fluorescence spectrum features such as full-wavelength fluorescence spectrum data, the position, intensity, and shape of characteristic peaks, to form a feature vector and obtain a three-dimensional water quality fluorescence spectrum feature vector. Feature extraction methods can include peak detection, curve fitting, principal component analysis, etc., which are not specifically limited here.

[0040] Furthermore, construct a self-organizing mapping neural network model: Design the structure of the self-organizing neural network according to requirements, including the input layer, mapping layer, and output layer. Determine the number of neurons in the competitive layer, arrangement method (such as grid-like), etc. Randomly initialize the weights and biases of the network to ensure that the network is in an untrained state before training. Even further, train the self-organizing mapping neural network model: Use the preprocessed sample three-dimensional water quality fluorescence spectral feature vectors as input data and input them into the initial self-organizing mapping neural network model for training in sequence. For each input sample feature vector (i.e., the sample three-dimensional water quality fluorescence spectral feature vector), each neuron in the network competes according to its similarity (such as Euclidean distance) with the input sample feature vector. The neuron with the highest similarity wins and is called the Best Matching Unit (BMU). The winning BMU and its neighboring neurons adjust their weights and biases according to the input feature vector to better represent the features of the feature vector. Set the number of iterations and error threshold and repeat the steps continuously for iterative training until the network reaches a stable state, and finally obtain the trained self-organizing mapping neural network model, that is, the water quality fluorescence fingerprint similarity calculation model.

[0041] Finally, the pipeline network breakage point diagnosis and detection device conducts similarity comparison and analysis: After the water quality fluorescence fingerprint map data to be compared undergoes the same preprocessing and feature extraction steps, obtain the three-dimensional water quality fluorescence spectral feature vectors, and input the three-dimensional water quality fluorescence spectral feature vectors into the trained self-organizing mapping neural network model (i.e., the water quality fluorescence fingerprint similarity calculation model), and observe its position mapped in the network (i.e., the BMU of the best matching unit). Calculate the similarity between them based on the positional relationship of the water quality fluorescence fingerprint map data to be compared and the reference water quality fluorescence fingerprint map data in the network (such as the distance between BMUs, the overlapping degree of the neighborhoods they belong to, etc.), obtain the similarity result, and use this similarity result as the water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes.

[0042] It should be noted that the specific implementation scheme of the present invention includes but is not limited to using a self-organizing mapping neural network model to implement, and various other machine learning models can also be implemented. Only this is taken as an example for specific illustration, and no further detailed description will be given here one by one.

[0043] Step 103: Based on the water quality fluorescence fingerprint map data of the upstream target inspection node and the water quality fluorescence fingerprint map data of the downstream target inspection node, obtain the water quality fluorescence fingerprint intensity change value between the upstream and downstream target inspection nodes.

[0044] In the embodiment of the present invention, the pipeline network break point diagnosis and detection device can first obtain the highest intensity of the water quality fluorescence fingerprint peak of the upstream target inspection node based on the water quality fluorescence fingerprint spectrum data of the upstream target inspection node. Then, based on the water quality fluorescence fingerprint spectrum data of the downstream target inspection node, obtain the highest intensity of the water quality fluorescence fingerprint peak of the downstream target inspection node. Finally, based on the highest intensity of the water quality fluorescence fingerprint peak of the upstream target inspection node and the highest intensity of the water quality fluorescence fingerprint peak of the downstream target inspection node, obtain the change value of the water quality fluorescence fingerprint intensity between the upstream and downstream target inspection nodes. Specifically, the highest intensity of the water quality fluorescence fingerprint peak of the upstream target inspection node can be directly read based on the water quality fluorescence fingerprint spectrum data of the upstream target inspection node , and the highest intensity of the water quality fluorescence fingerprint peak of the downstream target inspection node can be directly read based on the water quality fluorescence fingerprint spectrum data of the downstream target inspection node . Based on the highest intensity of the water quality fluorescence fingerprint peak of the upstream target inspection node and the highest intensity of the water quality fluorescence fingerprint peak of the downstream target inspection node, the specific formula for obtaining the change value ΔI of the water quality fluorescence fingerprint intensity between the upstream and downstream target inspection nodes is as follows: ΔI= Step 104: Based on the water quality fluorescence fingerprint similarity result and the change value of the water quality fluorescence fingerprint intensity, determine the comprehensive judgment result of the break between the upstream and downstream target inspection nodes of the drainage pipeline network, and determine the flow rate of external water entering the pipeline network

[0045] In the embodiment of the present invention, the pipeline network breakage point diagnosis and detection device can first compare the water quality fluorescence fingerprint similarity value in the water quality fluorescence fingerprint similarity result with a preset water quality fluorescence fingerprint similarity threshold indicating breakage (such as whether it is ≥90%) to obtain a comparison result of the water quality fluorescence fingerprint similarity threshold indicating breakage; then, compare the water quality fluorescence intensity change value with a preset water quality fluorescence fingerprint intensity change threshold indicating breakage to obtain a comparison result of the water quality fluorescence fingerprint intensity change indicating breakage; finally, based on the comparison result of the water quality fluorescence fingerprint similarity threshold and the comparison result of the water quality fluorescence fingerprint intensity change indicating breakage, obtain a comprehensive judgment result of breakage between the target inspection nodes upstream and downstream of the drainage pipeline network. Among them, the water quality fluorescence fingerprint similarity threshold indicating breakage is the similarity threshold and intensity change threshold indicating breakage. It should be noted that in the process of comparing the water quality fluorescence fingerprint similarity value in the water quality fluorescence fingerprint similarity result with a preset water quality fluorescence fingerprint similarity threshold indicating breakage to obtain a comparison result of the water quality fluorescence fingerprint similarity threshold indicating breakage in the present invention, the water quality fluorescence fingerprint spectrum of the point is directly used, without taking the difference and without calculating the regional similarity. Instead, after extracting the feature information of the full spectrum, all target feature points for characterizing the water quality fluorescence fingerprint map data are obtained, and based on the target feature points, the water quality fluorescence fingerprint similarity processing is carried out to obtain the water quality fluorescence fingerprint similarity value between the target inspection nodes upstream and downstream, and then the water quality fluorescence fingerprint similarity value is compared with a preset water quality fluorescence fingerprint similarity threshold indicating breakage. In addition, it should be noted that the present invention directly analyzes the water quality fluorescence fingerprint map and combines two criteria, namely similarity judgment and water quality fluorescence intensity change value (i.e., water quality fluorescence peak intensity), to judge whether there is external water entering, so as to judge whether there is pipeline breakage.

[0046] The present invention can comprehensively judge whether there is breakage and the degree of breakage by comparing and analyzing the water quality fluorescence fingerprint map data of each inspection well node of the drainage pipeline network and comparing the water quality fluorescence fingerprint similarity and water quality fluorescence peak intensity between the inspection well nodes upstream and downstream of the drainage pipeline network. The specific judgment method is as follows: Perform water quality fluorescence tests and similarity comparisons on the downstream target inspection node and the upstream target inspection node respectively. The water quality fluorescence fingerprint similarity result is defined as the drainage pipeline network breakage similarity S. Denote the highest intensity of the water quality fluorescence fingerprint peak of the upstream target inspection node as and the highest peak intensity of the water quality fluorescence fingerprint of the downstream target inspection node as , then the change in its water quality fluorescence intensity (i.e., the change value of the water quality fluorescence intensity between the upstream and downstream target inspection nodes) is ΔI = . Determining the flow rate of external water entering the pipeline network includes: S ≥ 90% and ΔI ≤ 10% indicate that no external water has entered the pipe network, and it is considered that there is no obvious damage.

[0047] When S ≥ 90% and the intensity of the fluorescence fingerprint peak of the downstream water quality drops by more than 10%, it is considered that there is a pipeline break between the upstream and downstream target inspection nodes, resulting in cleaner groundwater with a lower fluorescence signal entering the pipe network (assuming the fluorescence signal of the cleaner groundwater with a lower fluorescence signal is 0). Denote the flow rate of the upstream target inspection node as Q 1 , and the flow rate of the cleaner groundwater entering is Q 2 , then there is Q 1 I 1 = (Q 1 + Q 2 )I 2 , then the flow rate Q 2 of the cleaner groundwater entering approximately accounts for the flow rate Q 1 of the upstream target inspection node, and the proportion is . It should be noted that within the linear range, the concentration of fluorescent organic matter is proportional to the intensity of the water quality fluorescence fingerprint and can be superimposed. According to the material accounting conservation, the total amount of fluorescent organic matter upstream (Q 1 I 1 ) + the amount of fluorescent organic matter entering from external water (approximately equal to 0) = the total amount of fluorescent organic matter downstream (Q 1 + Q 2 ). , from this equation, it can be deduced that Q 2 / Q 1 = , that is, the flow rate Q 2 of the external water (cleaner groundwater) entering the pipe network accounts for the flow rate Q 1 of the upstream target inspection node, and the proportion is , then the flow rate Q 2 of the external water entering the pipe network is determined as Q 1 .

[0048] When S ≥ 90% and the intensity of the fluorescence fingerprint peak of the downstream water quality rises by more than 10%, it is considered that there is a pipeline break between the upstream and downstream target inspection nodes, resulting in the entry of high-concentration sewage of the same type into the pipe network. If the intensity of the fluorescence peak of the high-concentration sewage can be measured as I 3 , denote the upstream flow rate as Q 1 , and the flow rate of the high-concentration sewage of the same type entering is Q 3 , then there is Q 1 I 1 + Q 3 I 3 = (Q 1 + Q 3 )I 2 , then the flow rate Q3 accounts for approximately the upstream flow rate Q 1 and the proportion is . Similarly, it should be noted that according to the material accounting conservation, the total amount of fluorescent organic matter in the upstream (Q 1 I 1 ) + the inflow of fluorescent organic matter from external water (Q 3 I 3 ) = the total amount of fluorescent organic matter in the downstream (Q 1 + Q 3 ) I 2 . According to this equation, Q 3 / Q 1 = , that is, the inflow of external water Q 3 accounts for approximately the upstream flow rate Q 1 and the proportion is . Then, the flow rate Q 3 of external water entering the pipe network is determined as Q 1 .

[0049] If S < 90%, it is considered that there is a pipeline break between the upstream and downstream target inspection nodes, and other types of sewage enter the pipe network. The type of sewage that may enter the pipe network can be judged according to the water quality fluorescence fingerprint of the downstream target inspection node.

[0050] It should be noted that when the similarity S ≥ 90%, it can be considered the same type of pollution. The position of the fluorescence peak remains basically unchanged. Within a certain range, the fluorescence intensity and the content of fluorescent organic matter are linearly related, and the fluorescence intensity can be linearly superimposed.

[0051] Using the above method for determining the flow rate of external water entering the pipe network described in the present invention, compared with the existing pipeline break technology, the detection method is simpler and more efficient (when the similarity ≥ 90%, that is, when the pollution type remains unchanged, only by measuring the fluorescence spectrum and calculating the change value of the peak intensity, the amount of external water entering the pipe network can be judged), without the need to explore the pipe network itself or conduct long-term monitoring and statistics.

[0052] For example Figure 2As shown, in the embodiment of the present invention, the comprehensive judgment results of the damage between the upstream and downstream target inspection nodes of the drainage pipe network may include no obvious damage, mild damage, moderate damage, severe damage, and serious damage. The similarity threshold of the water quality fluorescence fingerprint indicating damage may be S≥90%, 80%≤S<90%, 70%≤S<80%, 60%≤S<70%, S<60%. That is, the similarity threshold of the water quality fluorescence fingerprint indicating damage may be an interval value, such as greater than or equal to 90%, 80% to 90%, 70% to 80%, 60% to 70%, less than 60%. The change threshold of the water quality fluorescence fingerprint intensity indicating damage may include ΔI≤10%, 10%<ΔI≤20%, 20%<ΔI≤30%, 30%<ΔI≤40%, ΔI>40%. That is, the change threshold of the water quality fluorescence fingerprint intensity indicating damage may be an interval value, such as less than or equal to 10%, 10% to 20%, 20% to 30%, 30% to 40%, greater than 40%. Correspondingly, according to the comparison result of the similarity threshold of the water quality fluorescence fingerprint indicating damage and the comparison result of the change of the water quality fluorescence fingerprint intensity indicating damage, the corresponding judgment result of the damage of the drainage pipe network may include the following: No obvious damage: corresponding to situation (a), that is, S≥90% and ΔI≤10%; Mild damage: 80%≤S<90% or S≥90%, and 10%<ΔI≤20%; Moderate damage: 70%≤S<80% or S≥90%, and 20%<ΔI≤30%; Severe damage: 60%≤S<70% or S≥90%, and 30%<ΔI≤40%; Serious damage: S<60% or S≥90%, and ΔI>40%.

[0053] Aiming at the deficiencies of the prior art, the present invention proposes a detection method for the damage points of the drainage pipe network based on the water quality fluorescence fingerprint. When the drainage pipe network is damaged, external water may carry different types of fluorescent substances or change the concentration of the original fluorescent substances, resulting in changes in the fluorescence fingerprint spectrum near the damage point. The instrument can quickly and accurately judge whether external water enters the pipe network by detecting the similarity and intensity of the fluorescence fingerprint at the pipe network node, thereby diagnosing the damage situation of the pipe network and giving comprehensive judgment results of "serious damage", "severe damage", "moderate damage", "slight damage" and "no obvious damage", providing a clear and directive basis for troubleshooting and maintenance for users. The core of the present invention lies in the application of the water quality fluorescence fingerprint technology, the water quality fluorescence fingerprint similarity comparison method, and the drainage pipe network damage judgment method. This method uses both the water quality fluorescence fingerprint similarity comparison and the water quality fluorescence fingerprint intensity (that is, the change value of the water quality fluorescence fingerprint intensity between the upstream and downstream target inspection nodes) as criteria for damage judgment, with high accuracy, and at the same time has the advantages of high detection sensitivity, accurate diagnosis, simple operation, and high test efficiency.

[0054] The present invention has the following technical effects. High diagnostic efficiency: The technology and equipment of the present invention can complete the diagnosis of the damage of a 100-meter-long drainage pipe network within 15 minutes. Other diagnostic methods require pipe excavation, emptying, or long-term monitoring, and it takes at least 1-2 hours to complete the detection of the damage of a 100-meter-long drainage pipe network. Compared with other current pipe network damage diagnostic methods, the efficiency is greatly improved, and in some cases, the amount of external water entering can be judged. Accurate and reliable: The technical effects of the present invention are also reflected in its high accuracy and reliability. The water quality fluorescence fingerprint technology can comprehensively and meticulously reflect the spectral characteristics of dissolved organic matter in water. By comparing and analyzing the water quality fluorescence fingerprint data at different positions in the pipe network, the location and degree of the pipe network damage can be accurately judged. This high-precision detection ability provides strong technical support for the pipe network maintenance and repair work. Simple operation and low cost: This method does not require pipe excavation or injecting tracer substances into the pipe network from the outside, but directly detects the water quality fluorescence fingerprints of the water body itself in the pipe network. This detection method is fast and efficient, simplifies the detection process, greatly reduces the detection cost, and also avoids the cost and environmental risks that may be brought by external substances. Clear direction and reduced technical requirements for users: The invention of the pipe network damage point diagnosis instrument can automatically give a judgment result after comparison and analysis, and classify the degree of damage, providing clear directional information for on-site investigation work, reducing the technical requirements for on-site staff, and improving the efficiency of pipe network damage point diagnosis investigation and emergency repair. Wide application prospects: The pipe network damage point diagnosis method and diagnosis instrument of the present invention have wide application prospects and potential values. They are not only applicable to the damage detection of urban drainage pipe network systems, but can also be extended to the pipe network detection in other fields such as industrial drainage pipe networks. With the acceleration of the urbanization process and the continuous expansion of the pipe network system, the technology of the present invention will play an important role in ensuring the safety of urban infrastructure and improving the efficiency of pipe network management.

[0055] In summary, the detection method for the damage point of the drainage pipe network provided by the present invention obtains the water quality fluorescence fingerprint spectrum data corresponding to the target inspection nodes at the upstream and downstream of the drainage pipe network respectively, performs a comparison of the water quality fluorescence fingerprint similarity based on the water quality fluorescence fingerprint spectrum data, obtains the water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes, and obtains the water quality fluorescence fingerprint intensity change value between the upstream and downstream target inspection nodes based on the water quality fluorescence fingerprint spectrum data of the upstream target inspection node and the water quality fluorescence fingerprint spectrum data of the downstream target inspection node. Finally, based on the water quality fluorescence fingerprint similarity result and the water quality fluorescence fingerprint intensity change value, the comprehensive judgment result of the damage between the upstream and downstream target inspection nodes of the drainage pipe network is determined. It has high detection sensitivity and simple operation, can effectively improve the efficiency and accuracy of the detection of the drainage pipe network damage result, and thus greatly reduces the labor cost.

[0056] The detection device for the damaged point of the drainage pipe network provided by the present invention will be described below. The detection device for the damaged point of the drainage pipe network described below can be correspondingly referred to the detection method for the damaged point of the drainage pipe network described above. Refer to Figure 3 As shown, it is a schematic structural diagram of the detection device for the damaged point of the drainage pipe network provided by the present invention. The detection device for the damaged point of the drainage pipe network according to the present invention specifically includes the following parts: A water quality fluorescence fingerprint spectrum test module 301, which is used to obtain the water quality fluorescence fingerprint spectrum data corresponding to the upstream and downstream target inspection nodes of the drainage pipe network respectively; wherein, the water quality fluorescence fingerprint spectrum data includes the water quality fluorescence fingerprint spectrum data of the upstream target inspection node of the drainage pipe network and the water quality fluorescence fingerprint spectrum data of the downstream target inspection node of the drainage pipe network.

[0057] A water quality fluorescence fingerprint similarity comparison module 302, which is used to perform a water quality fluorescence fingerprint similarity comparison based on the water quality fluorescence fingerprint spectrum data to obtain the water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes.

[0058] A water quality fluorescence fingerprint intensity change value calculation module 303, which is used to obtain the water quality fluorescence fingerprint intensity change value between the upstream and downstream target inspection nodes based on the water quality fluorescence fingerprint spectrum data of the upstream target inspection node and the water quality fluorescence fingerprint spectrum data of the downstream target inspection node.

[0059] A damage identification and flow calculation module 304, which is used to determine the comprehensive judgment result of the damage between the upstream and downstream target inspection nodes of the drainage pipe network based on the water quality fluorescence fingerprint similarity result and the water quality fluorescence fingerprint intensity change value, and determine the flow rate of the external water entering the pipe network.

[0060] According to the detection device for the damaged point of the drainage pipe network of the present invention, obtaining the water quality fluorescence fingerprint intensity change value between the upstream and downstream target inspection nodes based on the water quality fluorescence fingerprint spectrum data of the upstream target inspection node and the water quality fluorescence fingerprint spectrum data of the downstream target inspection node includes: Based on the water quality fluorescence fingerprint spectrum data of the upstream target inspection node, obtaining the highest intensity of the water quality fluorescence fingerprint peak of the upstream target inspection node; Based on the water quality fluorescence fingerprint spectrum data of the downstream target inspection node, obtaining the highest intensity of the water quality fluorescence fingerprint peak of the downstream target inspection node; Based on the highest intensity of the water quality fluorescence fingerprint peak of the upstream target inspection node and the highest intensity of the water quality fluorescence fingerprint peak of the downstream target inspection node, obtaining the water quality fluorescence fingerprint intensity change value between the upstream and downstream target inspection nodes.

[0061] For the detection device of the damaged point of the drainage pipe network according to the present invention, based on the water quality fluorescence fingerprint similarity result and the change value of the water quality fluorescence fingerprint intensity, determining the comprehensive judgment result of the damage between the target inspection nodes upstream and downstream of the drainage pipe network specifically includes: Comparing the water quality fluorescence fingerprint similarity value in the water quality fluorescence fingerprint similarity result with a preset water quality fluorescence fingerprint similarity threshold indicating damage to obtain a comparison result of the water quality fluorescence fingerprint similarity threshold indicating damage; Comparing the change value of the water quality fluorescence fingerprint intensity with a preset water quality fluorescence fingerprint intensity change threshold indicating damage to obtain a comparison result of the water quality fluorescence fingerprint intensity change indicating damage; Based on the comparison result of the water quality fluorescence fingerprint similarity threshold indicating damage and the comparison result of the water quality fluorescence fingerprint intensity change indicating damage, obtaining the comprehensive judgment result of the damage between the target inspection nodes upstream and downstream of the drainage pipe network.

[0062] For the detection device of the damaged point of the drainage pipe network according to the present invention, based on the water quality fluorescence fingerprint spectrum data for water quality fluorescence fingerprint similarity comparison to obtain the water quality fluorescence fingerprint similarity result between the target inspection nodes upstream and downstream, specifically including: Expressing the water quality fluorescence fingerprint intensity in the water quality fluorescence fingerprint spectrum data as a function of the corresponding coordinates; Performing normalization processing based on the function of the corresponding coordinates represented by the water quality fluorescence fingerprint intensity to obtain the normalized water quality fluorescence fingerprint spectrum data; Projecting the normalized water quality fluorescence fingerprint spectrum data onto the plane formed by the x-axis and the y-axis to obtain the corresponding plane function and the water quality fluorescence fingerprint spectrum corresponding to the plane function; Smoothing the water quality fluorescence fingerprint spectrum corresponding to the plane function to obtain the smoothed water quality fluorescence fingerprint spectrum; Using Harris corner detection to perform feature point detection and extraction on the smoothed water quality fluorescence fingerprint spectrum to obtain a feature point set; Performing similarity comparison based on the feature point set to obtain the water quality fluorescence fingerprint similarity result between the target inspection nodes upstream and downstream.

[0063] For the detection device of the damaged point of the drainage pipe network according to the present invention, based on the water quality fluorescence fingerprint spectrum data for water quality fluorescence fingerprint similarity comparison to obtain the water quality fluorescence fingerprint similarity result between the target inspection nodes upstream and downstream, specifically including: Performing data screening and normalization processing on the water quality fluorescence fingerprint spectrum data to obtain the preprocessed water quality fluorescence fingerprint spectrum data; Perform feature extraction based on the pre-processed water quality fluorescence fingerprint spectrum data to obtain a three-dimensional water quality fluorescence spectrum feature vector; The three-dimensional water quality fluorescence spectrum feature vector is input into the water quality fluorescence fingerprint similarity calculation model to perform water quality fluorescence fingerprint similarity calculation, and the water quality fluorescence fingerprint similarity results between the upstream and downstream target inspection nodes output by the water quality fluorescence fingerprint similarity calculation model are obtained; wherein, the water quality fluorescence fingerprint similarity calculation model is a machine learning algorithm model obtained by iterative training based on the water quality fluorescence fingerprint similarity result label corresponding to the sample three-dimensional water quality fluorescence spectrum feature vector.

[0064] According to the device for detecting damaged points in a drainage network of the present invention, the method for obtaining water quality fluorescence fingerprint spectrum data corresponding to upstream and downstream target inspection nodes of the drainage network includes: performing water quality fluorescence fingerprint spectrum detection on water samples to be detected corresponding to the upstream and downstream target inspection nodes of the drainage network, and obtaining water quality fluorescence fingerprint spectrum data corresponding to the upstream and downstream target inspection nodes.

[0065] In view of the shortcomings of the prior art, the present invention designs a detection device for damaged points of drainage pipe networks that can automatically determine the damage situation as a pipe network damaged point diagnosis detection device for implementing the detection method of damaged points of drainage pipe networks (i.e., a pipe network damaged point diagnosis device based on water quality fluorescent fingerprint). When the pipe network is damaged, the external water may carry different types of fluorescent substances or change the concentration of the original fluorescent substances, resulting in changes in the fluorescent fingerprint spectrum near the damaged point. The device detects the similarity and intensity of the fluorescent fingerprints on the pipe network nodes, quickly and accurately determines whether external water has entered the pipe network, thereby diagnosing the damage of the pipe network, and gives a comprehensive judgment result of "serious damage", "heavy damage", "moderate damage", "slight damage" and "no obvious damage", providing users with a clear and directional basis for troubleshooting and maintenance. The core of the detection method of the drainage network damage point of the present invention lies in the application of water quality fluorescent fingerprint technology, water quality fluorescent fingerprint similarity comparison method, and drainage network damage judgment method. This method uses water quality fluorescent fingerprint similarity comparison and water quality fluorescent fingerprint intensity (i.e., the change value of water quality fluorescent fingerprint intensity between upstream and downstream target inspection nodes) as the judgment criteria for damage judgment, with high accuracy, and has the advantages of high detection sensitivity, accurate diagnosis, simple operation, high test efficiency, etc. The present invention also provides a diagnostic equipment matched with this method, which combines detection, comparison, and judgment, realizes rapid detection and diagnosis of pipe network damage points, and directly provides damage judgment results.

[0066] like Figure 4As shown in the figure, the device of the present invention may further include: a pretreatment module: filtering and preprocessing two water samples A and B to be compared through a 0.45-micron filter membrane. A cleaning and automatic sampling module: before testing, the colorimetric cell is cleaned twice with ultrapure water, sample A is automatically injected, after the test ends, the sample A in the colorimetric cell is automatically discharged, and the colorimetric cell is cleaned twice with ultrapure water, and then sample B is injected into the colorimetric cell. A water quality fluorescence fingerprint map testing module: testing the water quality fluorescence fingerprint of the pretreated sample A, waiting for the automatic cleaning process of the colorimetric cell to end after the test is completed, and then continuing to test the water quality fluorescence fingerprint of sample B. The similarity of the two tested samples A and B is directly compared through the water quality fluorescence fingerprint similarity comparison module, and the water quality fluorescence fingerprint intensity change value calculation module automatically judges whether to calculate the change amount of the fluorescence peak intensity according to the similar result. Finally, the damage degree is automatically comprehensively judged through the damage recognition and flow calculation module, and the damage level between the two nodes is given accordingly.

[0067] The detection device for the breakage point of the drainage pipe network provided by the present invention obtains the water quality fluorescence fingerprint map data corresponding to the upstream and downstream target inspection nodes of the drainage pipe network respectively, performs a water quality fluorescence fingerprint similarity comparison based on the water quality fluorescence fingerprint map data, obtains the water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes, and based on the water quality fluorescence fingerprint map data of the upstream target inspection node and the water quality fluorescence fingerprint map data of the downstream target inspection node, obtains the water quality fluorescence fingerprint intensity change value between the upstream and downstream target inspection nodes. Finally, based on the water quality fluorescence fingerprint similarity result and the water quality fluorescence fingerprint intensity change value, the comprehensive judgment result of the breakage between the upstream and downstream target inspection nodes of the drainage pipe network is determined. It has high detection sensitivity and simple operation, can effectively improve the efficiency and accuracy of the detection of the breakage result of the drainage pipe network, and thus greatly reduces the labor cost.

[0068] Figure 5 Illustrates a schematic physical structure diagram of an electronic device, such as Figure 5As shown in the figure, the electronic device (i.e., the pipeline network break point diagnosis and detection device) may include: a processor 501, a communications interface 504, a memory 502, and a communication bus 503. Among them, the processor 501, the communications interface 504, and the memory 502 complete communication with each other through the communication bus 503. The processor 501 may call the logical instructions in the memory 502 to execute the method for detecting the break point of the drainage pipeline network. The method includes: obtaining the water quality fluorescence fingerprint map data corresponding to the upstream and downstream target inspection nodes of the drainage pipeline network respectively; wherein, the water quality fluorescence fingerprint map data includes the water quality fluorescence fingerprint map data of the upstream target inspection node of the drainage pipeline network and the water quality fluorescence fingerprint map data of the downstream target inspection node of the drainage pipeline network; based on the water quality fluorescence fingerprint map data, performing a comparison of the water quality fluorescence fingerprint similarity to obtain the water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes; based on the water quality fluorescence fingerprint map data of the upstream target inspection node and the water quality fluorescence fingerprint map data of the downstream target inspection node, obtaining the water quality fluorescence fingerprint intensity change value between the upstream and downstream target inspection nodes; based on the water quality fluorescence fingerprint similarity result and the water quality fluorescence fingerprint intensity change value, determining the comprehensive judgment result of the break between the upstream and downstream target inspection nodes of the drainage pipeline network. The pipeline network break point diagnosis and detection device is a computer device or a server.

[0069] In addition, when the logical instructions in the above-mentioned memory 502 are implemented in the form of software functional units and sold or used as an independent product, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0070] On the other hand, the present application also provides a computer program product, which includes a computer program. The computer program can be stored on a computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the detection method for the breakage points of the drainage pipe network provided by the above-mentioned various methods. The method includes: obtaining the water quality fluorescence fingerprint map data corresponding to the upstream and downstream target inspection nodes of the drainage pipe network respectively; wherein, the water quality fluorescence fingerprint map data includes the water quality fluorescence fingerprint map data of the upstream target inspection node of the drainage pipe network and the water quality fluorescence fingerprint map data of the downstream target inspection node of the drainage pipe network; performing a comparison of the water quality fluorescence fingerprint similarity based on the water quality fluorescence fingerprint map data to obtain the water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes; obtaining the change value of the water quality fluorescence fingerprint intensity between the upstream and downstream target inspection nodes based on the water quality fluorescence fingerprint map data of the upstream target inspection node and the water quality fluorescence fingerprint map data of the downstream target inspection node; and determining the comprehensive judgment result of the breakage between the upstream and downstream target inspection nodes of the drainage pipe network based on the water quality fluorescence fingerprint similarity result and the change value of the water quality fluorescence fingerprint intensity.

[0071] In another aspect, the present application also provides a computer-readable storage medium, which includes a stored program. When the program runs, it executes the detection method for the breakage points of the drainage pipe network provided by the above-mentioned various methods. The method includes: obtaining the water quality fluorescence fingerprint map data corresponding to the upstream and downstream target inspection nodes of the drainage pipe network respectively; wherein, the water quality fluorescence fingerprint map data includes the water quality fluorescence fingerprint map data of the upstream target inspection node of the drainage pipe network and the water quality fluorescence fingerprint map data of the downstream target inspection node of the drainage pipe network; performing a comparison of the water quality fluorescence fingerprint similarity based on the water quality fluorescence fingerprint map data to obtain the water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes; obtaining the change value of the water quality fluorescence fingerprint intensity between the upstream and downstream target inspection nodes based on the water quality fluorescence fingerprint map data of the upstream target inspection node and the water quality fluorescence fingerprint map data of the downstream target inspection node; and determining the comprehensive judgment result of the breakage between the upstream and downstream target inspection nodes of the drainage pipe network based on the water quality fluorescence fingerprint similarity result and the change value of the water quality fluorescence fingerprint intensity.

[0072] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0073] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0074] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for detecting damaged points in a drainage network, characterized in that: include: Obtain water quality fluorescence fingerprint spectrum data corresponding to the upstream and downstream target inspection nodes of the drainage network; wherein the water quality fluorescence fingerprint spectrum data includes the water quality fluorescence fingerprint spectrum data of the upstream target inspection node of the drainage network and the water quality fluorescence fingerprint spectrum data of the downstream target inspection node of the drainage network; Perform water quality fluorescence fingerprint similarity comparison based on the water quality fluorescence fingerprint spectrum data to obtain water quality fluorescence fingerprint similarity results between upstream and downstream target inspection nodes; Based on the water quality fluorescence fingerprint spectrum data of the upstream target inspection node and the water quality fluorescence fingerprint spectrum data of the downstream target inspection node, obtaining the water quality fluorescence fingerprint intensity change value between the upstream and downstream target inspection nodes; Based on the water quality fluorescent fingerprint similarity result and the water quality fluorescent fingerprint intensity change value, the comprehensive judgment result of the damage between the upstream and downstream target inspection nodes of the drainage network is determined, and the flow rate of external water entering the network is determined.

2. The method for detecting damaged points of drainage pipe network according to claim 1, characterized in that: The step of obtaining the water quality fluorescence fingerprint intensity change value between the upstream and downstream target inspection nodes based on the water quality fluorescence fingerprint spectrum data of the upstream target inspection node and the water quality fluorescence fingerprint spectrum data of the downstream target inspection node specifically includes: Based on the water quality fluorescence fingerprint spectrum data of the upstream target inspection node, obtaining the maximum intensity of the water quality fluorescence fingerprint peak of the upstream target inspection node; Based on the water quality fluorescence fingerprint spectrum data of the downstream target inspection node, obtaining the highest intensity of the water quality fluorescence fingerprint peak of the downstream target inspection node; Based on the maximum intensity of the water quality fluorescence fingerprint peak of the upstream target inspection node and the maximum intensity of the water quality fluorescence fingerprint peak of the downstream target inspection node, the water quality fluorescence fingerprint intensity change value between the upstream and downstream target inspection nodes is obtained.

3. The method for detecting damaged points of drainage pipe network according to claim 1, characterized in that: The comprehensive judgment result of damage between the upstream and downstream target inspection nodes of the drainage network is determined based on the water quality fluorescence fingerprint similarity result and the water quality fluorescence fingerprint intensity change value, specifically including: Compare the water quality fluorescence fingerprint similarity value in the water quality fluorescence fingerprint similarity result with the preset damage-indicating water quality fluorescence fingerprint similarity threshold to obtain a damage-indicating water quality fluorescence fingerprint similarity threshold comparison result; Compare the water quality fluorescence fingerprint intensity change value with a preset water quality fluorescence fingerprint intensity change threshold indicating damage to obtain a water quality fluorescence fingerprint intensity change comparison result indicating damage; According to the comparison result of the similarity threshold of the water quality fluorescent fingerprint indicating damage and the comparison result of the intensity change of the water quality fluorescent fingerprint indicating damage, a comprehensive judgment result of the damage between the upstream and downstream target inspection nodes of the drainage network is obtained.

4. The method for detecting damaged points of drainage pipe network according to claim 1, characterized in that: The water quality fluorescence fingerprint similarity comparison is performed based on the water quality fluorescence fingerprint spectrum data to obtain the water quality fluorescence fingerprint similarity results between the upstream and downstream target inspection nodes, specifically including: Representing the water quality fluorescence fingerprint intensity in the water quality fluorescence fingerprint spectrum data as a function of corresponding coordinates; Performing standardization based on the function of the corresponding coordinates represented by the water quality fluorescence fingerprint intensity to obtain standardized water quality fluorescence fingerprint spectrum data; Projecting the standardized water quality fluorescence fingerprint data onto the plane formed by the x-axis and the y-axis to obtain the corresponding plane function and the water quality fluorescence fingerprint corresponding to the plane function; Smoothing the water quality fluorescence fingerprint spectrum corresponding to the plane function to obtain a smoothed water quality fluorescence fingerprint spectrum; Harris corner point detection is used to detect and extract feature points of the smoothed water quality fluorescence fingerprint spectrum to obtain a feature point set; A similarity comparison is performed based on the feature point set to obtain a water quality fluorescence fingerprint similarity result between the upstream and downstream target inspection nodes.

5. The method for detecting damaged points of drainage pipe network according to claim 1, characterized in that: The water quality fluorescence fingerprint similarity comparison is performed based on the water quality fluorescence fingerprint spectrum data to obtain the water quality fluorescence fingerprint similarity results between the upstream and downstream target inspection nodes, specifically including: Performing data screening and standardization processing on the water quality fluorescence fingerprint spectrum data to obtain pre-processed water quality fluorescence fingerprint spectrum data; Perform feature extraction based on the pre-processed water quality fluorescence fingerprint spectrum data to obtain a three-dimensional water quality fluorescence spectrum feature vector; The three-dimensional water quality fluorescence spectrum feature vector is input into the water quality fluorescence fingerprint similarity calculation model to perform water quality fluorescence fingerprint similarity calculation, and the water quality fluorescence fingerprint similarity results between the upstream and downstream target inspection nodes output by the water quality fluorescence fingerprint similarity calculation model are obtained; wherein, the water quality fluorescence fingerprint similarity calculation model is a machine learning algorithm model obtained by iterative training based on the water quality fluorescence fingerprint similarity result label corresponding to the sample three-dimensional water quality fluorescence spectrum feature vector.

6. The method for detecting damaged points of drainage pipe network according to claim 1, characterized in that: The method of obtaining water quality fluorescence fingerprint spectrum data corresponding to the upstream and downstream target inspection nodes of the drainage network includes: performing water quality fluorescence fingerprint spectrum detection on the water samples to be detected corresponding to the upstream and downstream target inspection nodes of the drainage network, and obtaining the water quality fluorescence fingerprint spectrum data corresponding to the upstream and downstream target inspection nodes.

7. A device for detecting damaged points of a drainage network, characterized in that: include: A water quality fluorescence fingerprint test module is used to obtain water quality fluorescence fingerprint data corresponding to upstream and downstream target inspection nodes of the drainage network; wherein the water quality fluorescence fingerprint data includes water quality fluorescence fingerprint data of the upstream target inspection node of the drainage network and water quality fluorescence fingerprint data of the downstream target inspection node of the drainage network; A water quality fluorescence fingerprint similarity comparison module is used to perform water quality fluorescence fingerprint similarity comparison based on the water quality fluorescence fingerprint spectrum data to obtain water quality fluorescence fingerprint similarity results between upstream and downstream target inspection nodes; A water quality fluorescence fingerprint intensity change value calculation module, used to obtain the water quality fluorescence fingerprint intensity change value between the upstream and downstream target inspection nodes based on the water quality fluorescence fingerprint spectrum data of the upstream target inspection node and the water quality fluorescence fingerprint spectrum data of the downstream target inspection node; The damage identification and flow calculation module is used to determine the comprehensive judgment result of the damage between the upstream and downstream target inspection nodes of the drainage network based on the water quality fluorescent fingerprint similarity result and the water quality fluorescent fingerprint intensity change value, and determine the flow of external water entering the network.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method for detecting and processing damaged points in the drainage network as described in any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for detecting and processing damaged points in a drainage network as claimed in any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for detecting damaged points in a drainage network as claimed in any one of claims 1 to 6 is implemented.

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