Intelligent water affair data monitoring management method and system

Abstract

The invention relates to an intelligent water affair data monitoring management method and system, and relates to the field of water affair management, and the method comprises the steps: carrying out the alignment optimization processing of historical and current total nitrogen significance distribution and historical and current total phosphorus significance distribution, and obtaining the position deviation distribution of total nitrogen and total phosphorus; according to the position deviation of a plurality of positions in the total nitrogen and total phosphorus position deviation distribution, calculating to obtain a pollution source moving step length; according to the historical total nitrogen distribution, the historical total phosphorus distribution, the current total nitrogen distribution and the current total phosphorus distribution, the nitrogen and phosphorus change amplitude is obtained through calculation, searching is conducted in combination with the pollution source moving step length, and a pollution source searching result is obtained. The technical problem of limited treatment and removal effects of nitrogen and phosphorus compounds in the printing and dyeing wastewater in the prior art can be solved, and the technical effect of improving the water affair treatment management efficiency of the printing and dyeing wastewater is achieved.

Description

Technical Field

[0001] The present invention relates to the field of water management, and in particular to a smart water data monitoring and management method and system. Background Art

[0002] Printing and dyeing wastewater is one of the main industrial wastewaters discharged during the production process of the textile printing and dyeing industry. It has the characteristics of large discharge volume, complex composition, high organic matter content, deep chroma, strong toxicity, etc. Printing and dyeing wastewater usually contains dyes, auxiliaries, surfactants, heavy metals, and a large number of nitrogen and phosphorus compounds and other pollutants, which need to be treated and managed to ensure that the printing and dyeing wastewater treatment is qualified.

[0003] Traditional dyeing wastewater treatment management develops treatment strategies by monitoring key indicators such as flow, pH, COD, total nitrogen (TN), and total phosphorus (TP) in dyeing wastewater. However, the removal effect of nitrogen and phosphorus compounds is limited, which may result in failure to meet the standards after treatment, which may affect the efficiency and qualification of dyeing wastewater treatment management. Summary of the invention

[0004] The present invention aims to solve the technical problem that the treatment and removal effects of nitrogen and phosphorus compounds in printing and dyeing wastewater in the prior art are limited, which affects the efficiency and qualification of water treatment management of printing and dyeing wastewater, and provides a smart water data monitoring and management method and system to solve the problem.

[0005] The technical solution of the present invention to solve the above technical problems is as follows: In the first aspect, the present invention provides a smart water data monitoring and management method, including: at historical moments and the current moment, collecting total nitrogen and total phosphorus at multiple locations in printing and dyeing wastewater to obtain historical total nitrogen distribution, historical total phosphorus distribution, current total nitrogen distribution and current total phosphorus distribution, performing relative significance calculations respectively to obtain historical total nitrogen significance distribution, historical total phosphorus significance distribution, current total nitrogen significance distribution and current total phosphorus significance distribution; aligning and optimizing the historical total nitrogen significance distribution and the current total nitrogen significance distribution, as well as the historical total phosphorus significance distribution and the current total phosphorus significance distribution to obtain total nitrogen position deviation distribution and total phosphorus position deviation distribution; calculating the pollution source moving step length according to the position deviations of the multiple positions in the total nitrogen position deviation distribution and the total phosphorus position deviation distribution; calculating the nitrogen and phosphorus change amplitude according to the historical total nitrogen distribution, historical total phosphorus distribution, current total nitrogen distribution and current total phosphorus distribution, combining the pollution source moving step length, based on the pollution sources at the historical moments, performing a pollution source search at the current moment, obtaining pollution source search results, and performing water pollution monitoring and management.

[0006] Optionally, the smart water data monitoring and management method also includes: collecting total nitrogen and total phosphorus from multiple locations in the printing and dyeing wastewater at historical moments and the current moment, arranging them according to the multiple locations, and obtaining historical total nitrogen distribution, historical total phosphorus distribution, current total nitrogen distribution, and current total phosphorus distribution, wherein the current moment is a moment after the historical moment; performing relative significance calculation on the historical total nitrogen distribution to obtain historical total nitrogen significance distribution; performing relative significance calculation on the historical total phosphorus distribution, current total nitrogen distribution, and current total phosphorus distribution to obtain historical total phosphorus significance distribution, current total nitrogen significance distribution, and current total phosphorus significance distribution.

[0007] Optionally, the smart water data monitoring and management method also includes: randomly selecting K historical total nitrogens at K positions within the historical total nitrogen distribution, K being an integer greater than 1; extracting the first historical total nitrogen at the first position within the historical total nitrogen distribution; calculating the total nitrogen change ratio between the K historical total nitrogens and the first historical total nitrogen as the first historical total nitrogen significance; continuing to calculate to obtain multiple historical total nitrogen significances at other multiple positions to obtain a historical total nitrogen significance distribution.

[0008] Optionally, the smart water data monitoring and management method also includes: selecting the first historical total nitrogen significance of the first position in the historical total nitrogen significance distribution, calculating the difference with all current total nitrogen significances in the current total nitrogen significance distribution, and obtaining a first total nitrogen difference set; calculating the distance between the first position and all positions in the current total nitrogen significance distribution according to the coordinate system of the printing and dyeing wastewater, and obtaining a first total nitrogen distance set; continuing to calculate to obtain multiple total nitrogen difference sets and multiple total nitrogen distance sets for all positions in the historical total nitrogen significance distribution, performing alignment optimization of multiple positions in the historical total phosphorus significance distribution and the current total phosphorus significance distribution to obtain multiple groups of position mapping pairs, and constructing a total nitrogen position deviation distribution according to the total nitrogen distance between two positions in each group of position mapping pairs; performing alignment optimization processing on the historical total phosphorus significance distribution and the current total phosphorus significance distribution to obtain a total phosphorus position deviation distribution.

[0009] Optionally, the smart water data monitoring and management method also includes: within the historical total phosphorus significance distribution and the current total phosphorus significance distribution, randomly selecting two position combinations to construct a group of position mapping pairs, until all position combinations are completed, and obtaining multiple groups of first position mapping pairs; according to the multiple total nitrogen difference sets, extracting multiple first mapping total nitrogen differences of the multiple groups of first position mapping pairs, and calculating the sum of the first total nitrogen differences; continuing to traverse the random position mapping combinations, calculating the sum of the total nitrogen differences, and optimizing and outputting multiple groups of position mapping pairs with the smallest sum of total nitrogen differences; based on the multiple total nitrogen distance sets, extracting the total nitrogen distances of two positions within the multiple groups of position mapping pairs, obtaining multiple total nitrogen distances, and constructing a total nitrogen position deviation distribution.

[0010] Optionally, the smart water data monitoring and management method further includes: obtaining multiple total nitrogen distances within the total nitrogen position deviation distribution, and extracting multiple total nitrogen differences of multiple groups of position mapping pairs; and weightedly calculating the multiple total nitrogen distances according to the multiple total nitrogen differences to obtain the moving step length of the total nitrogen pollution source, as shown in the following formula: ; Where D is the moving step length of the total nitrogen pollution source, M is the number of multiple position mapping pairs, is the reciprocal of the total nitrogen difference of the i-th group of position mapping pairs, is the inverse of the total nitrogen difference of the j-th group of position mapping pairs, is the total nitrogen distance between two positions within the i-th group of position mapping pairs; obtain multiple total phosphorus distances within the total phosphorus position deviation distribution, and extract multiple total phosphorus differences of multiple groups of position mapping pairs; according to the multiple total phosphorus differences, perform weighted calculation on the multiple total phosphorus distances to obtain the moving step length of the total phosphorus pollution source; according to the moving step length of the total nitrogen pollution source and the moving step length of the total phosphorus pollution source, calculate and obtain the moving step length of the pollution source.

[0011] Optionally, the smart water data monitoring and management method also includes: calculating the historical average total nitrogen and the historical average total phosphorus according to the historical total nitrogen distribution and the historical total phosphorus distribution, and calculating the current average total nitrogen and the current average total phosphorus according to the current total nitrogen distribution and the current total phosphorus distribution; calculating the total nitrogen change range and the total phosphorus change range according to the historical average total nitrogen and the current average total nitrogen, as well as the historical average total phosphorus and the current average total phosphorus, and calculating the nitrogen and phosphorus change range; obtaining the historical pollution source location coordinates and the historical pollution source area at the historical moment; using the nitrogen and phosphorus change range, correcting the historical pollution source area and obtaining the current pollution source area; taking the historical pollution source location coordinates as the center, and according to the pollution source moving step and the current pollution source area, performing a pollution source search at the current moment, obtaining the pollution source search results, and performing water pollution monitoring and management.

[0012] In the second aspect, the present invention provides a smart water data monitoring and management system, including: a relative significance calculation module, which is used to collect total nitrogen and total phosphorus at multiple locations in printing and dyeing wastewater at historical moments and the current moment, obtain historical total nitrogen distribution, historical total phosphorus distribution, current total nitrogen distribution and current total phosphorus distribution, and perform relative significance calculations respectively to obtain historical total nitrogen significance distribution, historical total phosphorus significance distribution, current total nitrogen significance distribution and current total phosphorus significance distribution; an alignment optimization processing module, which is used to align the historical total nitrogen significance distribution and the current total nitrogen significance distribution, as well as the historical total phosphorus significance distribution and the current total phosphorus significance distribution. Perform alignment optimization processing to obtain total nitrogen position deviation distribution and total phosphorus position deviation distribution; a pollution source moving step calculation module is used to calculate the pollution source moving step according to the position deviations of the multiple positions in the total nitrogen position deviation distribution and the total phosphorus position deviation distribution; a pollution source search result acquisition module is used to calculate the nitrogen and phosphorus change range according to the historical total nitrogen distribution, historical total phosphorus distribution, current total nitrogen distribution and current total phosphorus distribution, and perform a pollution source search at the current moment based on the pollution sources at the historical moment in combination with the pollution source moving step, obtain the pollution source search result, and conduct water pollution monitoring and management.

[0013] The beneficial effects of the present invention are as follows: by collecting total nitrogen and total phosphorus at multiple locations in printing and dyeing wastewater at historical moments and the current moment, the historical total nitrogen distribution, the historical total phosphorus distribution, the current total nitrogen distribution and the current total phosphorus distribution are obtained, and relative significance calculations are performed respectively to obtain the historical total nitrogen significance distribution, the historical total phosphorus significance distribution, the current total nitrogen significance distribution and the current total phosphorus significance distribution; then the historical total nitrogen significance distribution and the current total nitrogen significance distribution, as well as the historical total phosphorus significance distribution and the current total phosphorus significance distribution are aligned and optimized to obtain the total nitrogen position deviation distribution and the total phosphorus position deviation distribution; then, according to the total nitrogen position deviation distribution, the historical total phosphorus significance distribution and the current total phosphorus significance distribution are aligned and optimized to obtain the total nitrogen position deviation distribution and the total phosphorus position deviation distribution. The moving step length of the pollution source is calculated based on the position deviation of the plurality of positions within the deviation distribution and the total phosphorus position deviation distribution; the nitrogen and phosphorus variation range is further calculated based on the historical total nitrogen distribution, the historical total phosphorus distribution, the current total nitrogen distribution and the current total phosphorus distribution; finally, based on the nitrogen and phosphorus variation range and the moving step length of the pollution source, a pollution source search is performed at the current moment based on the pollution sources at the historical moments, the pollution source search results are obtained, and water pollution monitoring and management are performed; accurate tracking of dynamic changes in the positions of pollution sources can be achieved, and the scientific nature and accuracy of pollution source positioning can be significantly improved, thereby effectively improving the efficiency and quality of water pollution management. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 A flow chart of a smart water affairs data monitoring and management method provided by the present invention; Figure 2A schematic diagram of the structure of a smart water data monitoring and management system provided by the present invention.

[0015] In the accompanying drawings, the components represented by the reference numerals are described as follows: Relative saliency calculation module 01, alignment optimization processing module 02, pollution source moving step calculation module 03, pollution source search result acquisition module 04. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0017] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0018] In the description of the present invention, the term "for example" is used to mean "used as an example, illustration or explanation". Any embodiment described as "for example" in the present invention is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any technician in the field to implement and use the present invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes will not be elaborated in detail to avoid obscuring the description of the present invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in the present invention.

[0019] Embodiment 1, as Figure 1 As shown, an embodiment of the present invention provides a smart water data monitoring and management method, which specifically includes the following steps: S100: At historical moments and the current moment, the total nitrogen and total phosphorus at multiple locations in the printing and dyeing wastewater are collected to obtain the historical total nitrogen distribution, the historical total phosphorus distribution, the current total nitrogen distribution and the current total phosphorus distribution, and relative significance calculations are performed to obtain the historical total nitrogen significance distribution, the historical total phosphorus significance distribution, the current total nitrogen significance distribution and the current total phosphorus significance distribution.

[0020] Furthermore, step S100 of the present invention further includes: S110: At historical moments and the current moment, total nitrogen and total phosphorus are collected from multiple locations in the printing and dyeing wastewater, and arranged according to the multiple locations to obtain historical total nitrogen distribution, historical total phosphorus distribution, current total nitrogen distribution, and current total phosphorus distribution, wherein the current moment is a moment after the historical moment.

[0021] Specifically, the water treatment management of printing and dyeing wastewater is carried out by detecting parameters such as flow rate, pH, COD, ammonia nitrogen, TP, TN, etc. In the embodiment of the present application, total nitrogen and total phosphorus are mainly used for pollution analysis and mobile monitoring and management of pollution sources to carry out printing and dyeing wastewater treatment and improve the efficiency and quality of printing and dyeing wastewater treatment.

[0022] Among them, particles in the printing and dyeing wastewater (such as fiber fragments, dye precipitation) may precipitate, forming a concentrated pollution source, continuously decomposing nitrogen and phosphorus to form a pollution source, resulting in poor treatment of nitrogen and phosphorus compounds. Therefore, it is necessary to carry out key sewage treatment monitoring and management in the pollution source areas where sedimentary pollutants exist to improve the quality of water treatment management. However, due to factors such as water flow in the printing and dyeing wastewater, the sedimentary pollutants will move and cause position displacement. The embodiment of the present application analyzes the movement of sedimentary pollution sources based on the total nitrogen distribution and total phosphorus distribution at the historical and current moments in the water area where the printing and dyeing wastewater is formed, and performs sewage monitoring and management.

[0023] Total nitrogen refers to the total amount of nitrogen in various forms in printing and dyeing wastewater, including dissolved nitrogen (such as nitrate nitrogen, nitrite nitrogen and ammonium nitrogen) and particulate nitrogen; total phosphorus refers to the total amount of phosphorus in various forms in printing and dyeing wastewater, including dissolved inorganic phosphorus (such as orthophosphate) and particulate organic phosphorus. Configure historical moments and current moments, where the time interval between the current moment and the historical moment can be set according to demand (for example, one day), that is, obtain historical monitoring data one day ago to evaluate the dynamic migration of sediment pollution sources in printing and dyeing wastewater; then, at the historical moment and the current moment, collect the total nitrogen concentration and total phosphorus concentration at multiple locations in the printing and dyeing wastewater area (such as in the printing and dyeing wastewater treatment pool), and arrange the total nitrogen concentration and total phosphorus concentration according to the positions of multiple locations, and obtain the historical total nitrogen distribution (the total nitrogen concentration distribution at each location at the historical moment), the historical total phosphorus distribution (the total phosphorus concentration distribution at each location at the historical moment), the current total nitrogen distribution (the total nitrogen concentration distribution at each location at the current moment) and the current total phosphorus distribution (the total phosphorus concentration distribution at each location at the current moment). By obtaining the historical total nitrogen distribution, historical total phosphorus distribution, current total nitrogen distribution and current total phosphorus distribution, data support is provided for the subsequent dynamic source tracing analysis of pollution sources.

[0024] S120: performing relative significance calculation on the historical total nitrogen distribution to obtain a historical total nitrogen significance distribution.

[0025] Furthermore, step S120 of the present invention further includes: S121: randomly select K historical total nitrogens at K positions in the historical total nitrogen distribution, where K is an integer greater than 1; S122: extract the first historical total nitrogen at the first position in the historical total nitrogen distribution; S123: calculate the total nitrogen change ratio between the K historical total nitrogens and the first historical total nitrogen as the first historical total nitrogen significance; S124: continue to calculate to obtain multiple historical total nitrogen significances of other multiple positions, and obtain the historical total nitrogen significance distribution.

[0026] Specifically, K historical total nitrogens of K positions are randomly selected in the historical total nitrogen distribution, K is an integer greater than 1, and the specific value of K can be set according to the total number of positions. For example, the selection ratio is set to 10%, that is, K is obtained by rounding 10% of the total number of positions. Assuming that the total number of positions is 100, K is 10. Then, the first historical total nitrogen of the first position (any one of the multiple positions in the printing and dyeing wastewater) is randomly selected in the historical total nitrogen distribution, and then the mean of the K historical total nitrogen is calculated to obtain the historical total nitrogen mean, and the total nitrogen change ratio of the historical total nitrogen mean and the first historical total nitrogen is further calculated to obtain the first historical total nitrogen significance. The first historical total nitrogen significance is the ratio of the difference between the historical total nitrogen mean and the first historical total nitrogen to the historical total nitrogen mean, which reflects the significance of the historical total nitrogen concentration at the first position relative to the total nitrogen concentration of the entire printing and dyeing wastewater, that is, the significance relative to the total nitrogen concentration at other positions.

[0027] Then, using the same method for calculating the first historical total nitrogen significance, the significance of other multiple positions in the historical total nitrogen distribution is calculated to obtain multiple historical total nitrogen significances of other multiple positions, and the multiple historical total nitrogen significances are arranged according to the positions to generate the historical total nitrogen significance distribution. Through the significance calculation, the area with abnormal total nitrogen concentration in the printing and dyeing wastewater can be located, reflecting the change range of total nitrogen concentration at different positions relative to other positions, providing a basis for tracing the sediment pollution source.

[0028] S130: performing relative significance calculation on the historical total phosphorus distribution, the current total nitrogen distribution and the current total phosphorus distribution to obtain the historical total phosphorus significance distribution, the current total nitrogen significance distribution and the current total phosphorus significance distribution.

[0029] Specifically, based on the same method for calculating the above-mentioned historical total nitrogen significance, the historical total phosphorus distribution, current total nitrogen distribution and current total phosphorus distribution are respectively calculated for relative significance, and multiple historical total phosphorus significances, multiple current total nitrogen significances and multiple current total phosphorus significances of multiple locations are obtained. The historical total phosphorus significance distribution, the current total nitrogen significance distribution and the current total phosphorus significance distribution are constructed in combination with the location information of the locations. Among them, the significance distribution can help identify location areas with abnormal total nitrogen and total phosphorus concentrations. Combined with the historical and current significance distributions, it provides a basis for dynamic pollution source tracing and pollution spread trend analysis.

[0030] S200: performing alignment optimization processing on the historical total nitrogen significance distribution and the current total nitrogen significance distribution, as well as the historical total phosphorus significance distribution and the current total phosphorus significance distribution, to obtain a total nitrogen position deviation distribution and a total phosphorus position deviation distribution.

[0031] Furthermore, step S200 of the present invention further includes: S210: Select the first historical total nitrogen significance of the first position in the historical total nitrogen significance distribution, calculate the difference between the first position and all the current total nitrogen significances in the current total nitrogen significance distribution, and obtain a first total nitrogen difference set; S220: Calculate the distance between the first position and all the positions in the current total nitrogen significance distribution according to the coordinate system of the printing and dyeing wastewater, and obtain a first total nitrogen distance set.

[0032] Specifically, the first historical total nitrogen significance of the first position (any one of the multiple positions in the printing and dyeing wastewater) is selected in the historical total nitrogen significance distribution, and then the difference between the first historical total nitrogen significance and all the current total nitrogen significances in the current total nitrogen significance distribution is calculated to obtain the first total nitrogen difference set, the first total nitrogen difference is the significance difference of the first historical total nitrogen significance minus the current total nitrogen significance, reflecting the relative change of historical and current significance. On the other hand, according to the coordinate system of the printing and dyeing wastewater, the distance between the first position and all the positions in the current total nitrogen significance distribution is calculated to obtain the first total nitrogen distance set, the first total nitrogen distance set includes the spatial distance of the first position to other positions, reflecting the distance position difference between each point.

[0033] S230: Continue to calculate and obtain multiple total nitrogen difference sets and multiple total nitrogen distance sets for all positions in the historical total nitrogen significance distribution, perform alignment optimization of multiple positions in the historical total phosphorus significance distribution and the current total phosphorus significance distribution, obtain multiple groups of position mapping pairs, and construct a total nitrogen position deviation distribution based on the total nitrogen distance between two positions in each group of position mapping pairs.

[0034] Further, step S230 of the present invention further includes: S231: Randomly select two position combinations within the historical total phosphorus significance distribution and the current total phosphorus significance distribution to construct a group of position mapping pairs, until all position combinations are completed, and obtain multiple groups of first position mapping pairs; S232: According to the multiple total nitrogen difference sets, extract the multiple first mapping total nitrogen differences of the multiple groups of first position mapping pairs, and calculate the sum of the first total nitrogen differences; S233: Continue to traverse the random position mapping combinations, calculate the sum of the total nitrogen differences, and optimize and output multiple groups of position mapping pairs with the smallest sum of total nitrogen differences; S234: Based on the multiple total nitrogen distance sets, extract the total nitrogen distances of two positions within the multiple groups of position mapping pairs, obtain multiple total nitrogen distances, and construct a total nitrogen position deviation distribution.

[0035] Specifically, the same method of calculating the first total nitrogen difference set and the first total nitrogen distance set is used to continue calculating multiple total nitrogen difference sets and multiple total nitrogen distance sets for all positions in the historical total nitrogen significance distribution. Then, in the historical total phosphorus significance distribution and the current total phosphorus significance distribution, any two position combinations are randomly selected without replacement to construct a set of position mapping pairs, and iterative combination selection is performed until all position combinations are completed to obtain multiple groups of first position mapping pairs. The multiple groups of first position mapping pairs include all positions in the historical total phosphorus significance distribution and the current total phosphorus significance distribution, and each group of first position mapping pairs includes one position each in the historical total phosphorus significance distribution and the current total phosphorus significance distribution.

[0036] Then, according to the multiple total nitrogen difference sets, multiple first mapping total nitrogen differences of the multiple groups of first position mapping pairs are obtained, and the sum of the first total nitrogen differences is obtained by summing the multiple first mapping total nitrogen differences. Then, within the historical total phosphorus significance distribution and the current total phosphorus significance distribution, the random position mapping combinations that are traversed are continued, and the sum of the total nitrogen differences of the multiple groups of position mapping pairs after each random combination is calculated, and iterative selection is performed until a predetermined stop condition is met (such as reaching a predetermined number of selections, or exhaustively enumerating the combinations of multiple positions within the historical total phosphorus significance distribution and the current total phosphorus significance distribution), multiple total nitrogen difference sums of multiple selection results are obtained, and multiple groups of position mapping pairs with the smallest total nitrogen difference sums are output.

[0037] The multiple sets of position mapping pairs with the smallest total nitrogen difference are the most accurate mapping relationship between multiple positions at the historical moment and the current moment. For example, the total nitrogen significance of a position at the historical moment is 30%, and the total nitrogen significance of two positions at the current moment are 25% and 50% respectively, then the 25% position may be the mapping position of the position at the historical moment (the two positions may or may not be the same position). The source of deposited pollutants in the printing and dyeing wastewater may have changed due to water flow and other reasons, resulting in a change in the position with similar total nitrogen significance.

[0038] Then, based on the multiple total nitrogen distance sets, the total nitrogen distances between two positions in each position mapping pair within the multiple position mapping pairs are extracted to obtain multiple total nitrogen distances, and the total nitrogen position deviation distribution is constructed in combination with the position coordinate information of the multiple positions. Specifically, the position distribution is constructed using the position information of multiple positions within the historical total phosphorus significance distribution, and multiple positions are marked using multiple total nitrogen distances to obtain the total nitrogen position deviation distribution. The total nitrogen position deviation distribution can reflect the distance changes between positions with similar relative significance of total nitrogen in historical time and current time. The position changes of positions with similar relative significance of total nitrogen reflect the changes in the location of the pollution source.

[0039] For example, the total nitrogen significance of a location in the historical time is 30%, reflecting that the total nitrogen concentration of the location in the historical time is greater than 30% of the total nitrogen of other randomly selected locations. The total nitrogen significance of the location at the current moment mapped within the position map of the location is 25%, and the total nitrogen distance between the two locations is 1m, which means that the distance to the current location with the most similar total nitrogen significance at the historical moment is 1m, reflecting that the position of the deposited pollutants in the printing and dyeing wastewater at the current moment may have moved by 1m, resulting in the position with similar total nitrogen significance moving by 1m, forming a total nitrogen distance.

[0040] S240: performing alignment optimization processing on the historical total phosphorus significance distribution and the current total phosphorus significance distribution to obtain a total phosphorus position deviation distribution.

[0041] Specifically, based on the same method of constructing the total nitrogen position deviation distribution, first, multiple total phosphorus difference sets and multiple total phosphorus distance sets of all positions in the historical total phosphorus significance distribution are calculated according to the historical total phosphorus significance distribution and the current total phosphorus significance distribution; then, in the historical total nitrogen significance distribution and the current total nitrogen significance distribution, two position combinations are randomly selected to construct a set of position mapping pairs until all position combinations are completed to obtain multiple groups of first position mapping pairs; further, based on the multiple total phosphorus difference sets, multiple first mapping total phosphorus differences of the multiple groups of first position mapping pairs are extracted, the sum of the first total phosphorus differences is calculated, and the random position mapping combinations that are traversed are continued to output multiple groups of position mapping pairs with the smallest total phosphorus difference sum; finally, based on the multiple total phosphorus distance sets, the total phosphorus distances of the two positions in the multiple groups of position mapping pairs are extracted to construct the total phosphorus position deviation distribution. Through the optimization of significance differences and the analysis of distance deviation, the total nitrogen position deviation distribution and the total phosphorus position deviation distribution are constructed, which can accurately identify the dynamic migration characteristics of pollution information and provide reliable data support for the subsequent pollution source location analysis.

[0042] S300: Calculate and obtain the moving step length of the pollution source according to the position deviations of the plurality of positions in the total nitrogen position deviation distribution and the total phosphorus position deviation distribution.

[0043] Furthermore, step S300 of the present invention further includes: S310: obtaining multiple total nitrogen distances within the total nitrogen position deviation distribution, and extracting multiple total nitrogen differences of multiple sets of position mapping pairs; S320: performing weighted calculation on the multiple total nitrogen distances according to the multiple total nitrogen differences, and obtaining the moving step length of the total nitrogen pollution source, as shown in the following formula: ; Where D is the moving step length of the total nitrogen pollution source, M is the number of multiple position mapping pairs, is the reciprocal of the total nitrogen difference of the i-th group of position mapping pairs, is the inverse of the total nitrogen difference of the j-th group of position mapping pairs, is the total nitrogen distance between two positions within the i-th group of position mapping pairs; S330: obtaining multiple total phosphorus distances within the total phosphorus position deviation distribution, and extracting multiple total phosphorus differences of multiple groups of position mapping pairs; S340: weighted calculation of the multiple total phosphorus distances according to the multiple total phosphorus differences, to obtain the moving step length of the total phosphorus pollution source; S350: calculating the moving step length of the pollution source according to the moving step length of the total nitrogen pollution source and the moving step length of the total phosphorus pollution source.

[0044] Specifically, first, multiple total nitrogen distances within the total nitrogen position deviation distribution are obtained, and multiple total nitrogen differences of multiple sets of position mapping pairs are extracted; then, a total nitrogen pollution source moving step length calculation function is constructed, in which D is the total nitrogen pollution source moving step length, M is the number of multiple sets of position mapping pairs, is the reciprocal of the total nitrogen difference of the jth group of position mapping pairs, that is, the ratio of the reciprocal of the total nitrogen difference of each group of position mapping pairs to the sum of the reciprocals of multiple total nitrogen differences of multiple groups of position mapping pairs is calculated as the weight, wherein the larger the total nitrogen difference, the smaller the accuracy of the alignment of the two positions, and the smaller the weight; is the total nitrogen distance between two positions in the i-th group of position mapping pairs. By using the inverse of the significance difference as the weight to perform weighted calculation on the total nitrogen distance, the moving step of the total nitrogen pollution source is obtained, which can ensure that mapping pairs with smaller significance differences (better matching) contribute more to the results, reduce errors, and improve the accuracy of the pollution source moving step.

[0045] Then, the total nitrogen pollution source moving step length calculation function is used to perform weighted calculation on the multiple total nitrogen distances according to the multiple total nitrogen differences to obtain the total nitrogen pollution source moving step length.

[0046] On the other hand, a plurality of total phosphorus distances within the total phosphorus position deviation distribution are obtained, and a plurality of total phosphorus differences of a plurality of position mapping pairs are extracted; weights are then set according to the plurality of total phosphorus differences, wherein the weight setting method is the same as the weight setting method in the above-mentioned total nitrogen pollution source moving step calculation function, that is, the ratio of the reciprocal of the total phosphorus difference of each group of position mapping pairs to the sum of the reciprocals of the plurality of total phosphorus differences of the plurality of position mapping pairs is used as the weight, wherein the greater the total phosphorus difference, the greater the accuracy of the alignment of the two positions, and the smaller the weight; weights are then set according to the plurality of total phosphorus differences, and the plurality of total phosphorus distances are weightedly calculated to obtain the moving step of the total phosphorus pollution source.

[0047] Finally, the moving step lengths of the total nitrogen pollution source and the total phosphorus pollution source are averaged and the average calculation result is used as the moving step length of the pollution source. By optimizing the weight distribution and combining the significance difference and spatial deviation of total nitrogen and total phosphorus, the dynamic migration step length of the pollution source can be accurately quantified, providing a high-precision and quantitative solution for dynamic pollution source tracing.

[0048] S400: Calculate the change range of nitrogen and phosphorus based on the historical total nitrogen distribution, historical total phosphorus distribution, current total nitrogen distribution and current total phosphorus distribution, combine the moving step of the pollution source, and search for the pollution source at the current moment based on the pollution source at the historical moment, obtain the pollution source search result, and conduct water pollution monitoring and management.

[0049] Furthermore, step S400 of the present invention further includes: S410: Calculate the historical average total nitrogen and the historical average total phosphorus according to the historical total nitrogen distribution and the historical average total phosphorus distribution, and calculate the current average total nitrogen and the current average total phosphorus according to the current total nitrogen distribution and the current total phosphorus distribution; S420: Calculate the change range of total nitrogen and the change range of total phosphorus according to the historical average total nitrogen and the current average total nitrogen, as well as the historical average total phosphorus and the current average total phosphorus, and calculate the change range of nitrogen and phosphorus; S430: Obtain the historical pollution source location coordinates and the historical pollution source area at the historical moment; S440: Use the nitrogen and phosphorus change range to correct the historical pollution source area and obtain the current pollution source area; S450: Take the historical pollution source location coordinates as the center, and according to the pollution source moving step and the current pollution source area, search for the pollution source at the current moment, obtain the pollution source search result, and conduct water pollution monitoring and management.

[0050] Specifically, first, the means of the historical total nitrogen distribution and the historical total phosphorus distribution are calculated respectively, that is, the means of the historical concentration data of multiple locations are calculated to obtain the historical average total nitrogen and the historical average total phosphorus; on the other hand, based on the current total nitrogen distribution and the current total phosphorus distribution, the current average total nitrogen and the current average total phosphorus are calculated. Next, based on the historical average total nitrogen and the current average total nitrogen, the ratio of the difference between the historical average total nitrogen and the current average total nitrogen to the current average total nitrogen is set as the total nitrogen change range (which can be a negative number, the total nitrogen concentration decreases and the pollution decreases); based on the historical average total phosphorus and the current average total phosphorus, the ratio of the difference between the historical average total phosphorus and the current average total phosphorus to the historical average total phosphorus is set as the total phosphorus change range; and the total nitrogen change range and the total phosphorus change range are weightedly calculated (they can be set according to the influence of total nitrogen and total phosphorus on the difficulty of printing and dyeing wastewater treatment, the greater the influence, the greater the weight, such as the weights of the total nitrogen change range and the total phosphorus change range are 0.6 and 0.4 respectively), to obtain the nitrogen and phosphorus change range, which reflects the comprehensive change range of total nitrogen and total phosphorus in the printing and dyeing wastewater, and indicates the overall dynamic changes in the concentrations of nitrogen and phosphorus organic matter in the printing and dyeing wastewater.

[0051] Next, the historical pollution source location coordinates at the historical moment (the central position of the monitored pollution source at the historical moment) and the historical pollution source area (for example, the area of ​​sediment in the printing and dyeing wastewater at the historical moment) are obtained, such as 0.5 square meters.

[0052] Then, the nitrogen and phosphorus variation range is used to perform correction calculation on the historical pollution source area, that is, the sum of the nitrogen and phosphorus variation range and 1 is multiplied by the historical pollution source area to obtain the pollution source area of ​​the current deposited pollutants.

[0053] Further, taking the historical pollution source location coordinates as the center and the current pollution source area as the search range, the pollution source at the current moment is searched according to the pollution source moving step length to obtain the pollution source search result. For example, taking the pollution source moving step length as the radius and the historical pollution source location coordinates as the center, a circle is drawn, and the search is performed within the circle according to the search range. The search method can be the method of searching for sediments in sewage in the prior art, such as sampling and searching printing and dyeing wastewater, to obtain the current deposited pollution source, such as the location of deposited pollutants in printing and dyeing wastewater; finally, water pollution monitoring and management is carried out according to the pollution source search results, such as formulating targeted control measures (such as targeted placement of purification agents, and limiting emissions, etc.), improving the treatment effect of nitrogen and phosphorus compounds in printing and dyeing wastewater, and improving the efficiency of water treatment management of printing and dyeing wastewater and the degree of treatment qualification.

[0054] The smart water data monitoring and management method provided by the embodiment of the present invention has at least the following technical effects: The method collects total nitrogen and total phosphorus at multiple locations in the printing and dyeing wastewater at historical and current moments to obtain historical total nitrogen distribution, historical total phosphorus distribution, current total nitrogen distribution and current total phosphorus distribution, respectively, and performs relative significance calculations to obtain historical total nitrogen significance distribution, historical total phosphorus significance distribution, current total nitrogen significance distribution and current total phosphorus significance distribution; then aligns and optimizes the historical total nitrogen significance distribution and current total nitrogen significance distribution, as well as the historical total phosphorus significance distribution and current total phosphorus significance distribution to obtain total nitrogen position deviation distribution and total phosphorus position deviation distribution; then, according to the total nitrogen position deviation distribution and The position deviations of the multiple positions within the total phosphorus position deviation distribution are used to calculate the moving step of the pollution source; further, the nitrogen and phosphorus change amplitudes are calculated based on the historical total nitrogen distribution, the historical total phosphorus distribution, the current total nitrogen distribution and the current total phosphorus distribution; finally, based on the nitrogen and phosphorus change amplitudes and the moving step of the pollution source, a pollution source search is performed at the current moment based on the pollution sources at the historical moments, the pollution source search results are obtained, and water pollution monitoring and management are performed; accurate tracking of dynamic changes in the positions of pollution sources can be achieved, and the scientificity and accuracy of pollution source positioning can be significantly improved, thereby effectively improving the efficiency and quality of water pollution management.

[0055] Embodiment 2, as Figure 2 As shown, based on the same inventive concept as the smart water data monitoring and management method provided in Example 1, the embodiment of the present invention also provides a smart water data monitoring and management system, including: a relative significance calculation module 01, used to collect total nitrogen and total phosphorus at multiple locations in printing and dyeing wastewater at historical moments and the current moment, obtain historical total nitrogen distribution, historical total phosphorus distribution, current total nitrogen distribution and current total phosphorus distribution, perform relative significance calculations respectively, and obtain historical total nitrogen significance distribution, historical total phosphorus significance distribution, current total nitrogen significance distribution and current total phosphorus significance distribution; an alignment optimization processing module 02, used to align the historical total nitrogen significance distribution and the current total nitrogen significance distribution, as well as the historical total phosphorus significance distribution. The phosphorus significance distribution and the current total phosphorus significance distribution are aligned and optimized to obtain the total nitrogen position deviation distribution and the total phosphorus position deviation distribution; the pollution source moving step calculation module 03 is used to calculate the pollution source moving step according to the position deviations of the multiple positions in the total nitrogen position deviation distribution and the total phosphorus position deviation distribution; the pollution source search result acquisition module 04 is used to calculate the nitrogen and phosphorus change range according to the historical total nitrogen distribution, the historical total phosphorus distribution, the current total nitrogen distribution and the current total phosphorus distribution, and combine the pollution source moving step to search for the pollution source at the current moment based on the pollution source at the historical moment, obtain the pollution source search result, and conduct water pollution monitoring and management.

[0056] Furthermore, the smart water data monitoring and management system is also used to: collect total nitrogen and total phosphorus at multiple locations in printing and dyeing wastewater at historical moments and the current moment, arrange them according to the multiple locations, and obtain historical total nitrogen distribution, historical total phosphorus distribution, current total nitrogen distribution, and current total phosphorus distribution, wherein the current moment is the moment after the historical moment; perform relative significance calculation on the historical total nitrogen distribution to obtain historical total nitrogen significance distribution; perform relative significance calculation on the historical total phosphorus distribution, current total nitrogen distribution, and current total phosphorus distribution to obtain historical total phosphorus significance distribution, current total nitrogen significance distribution, and current total phosphorus significance distribution.

[0057] Furthermore, the smart water data monitoring and management system is also used to: randomly select K historical total nitrogens at K positions within the historical total nitrogen distribution, K being an integer greater than 1; extract the first historical total nitrogen at the first position within the historical total nitrogen distribution; calculate the total nitrogen change ratio between the K historical total nitrogens and the first historical total nitrogen as the first historical total nitrogen significance; continue to calculate to obtain multiple historical total nitrogen significances at other multiple positions to obtain a historical total nitrogen significance distribution.

[0058] Furthermore, the intelligent water data monitoring and management system is also used to: select the first historical total nitrogen significance of the first position in the historical total nitrogen significance distribution, calculate the difference with all current total nitrogen significances in the current total nitrogen significance distribution, and obtain a first total nitrogen difference set; calculate the distance between the first position and all positions in the current total nitrogen significance distribution according to the coordinate system of the printing and dyeing wastewater, and obtain a first total nitrogen distance set; continue to calculate to obtain multiple total nitrogen difference sets and multiple total nitrogen distance sets of all positions in the historical total nitrogen significance distribution, perform alignment optimization of multiple positions in the historical total phosphorus significance distribution and the current total phosphorus significance distribution, obtain multiple groups of position mapping pairs, and construct a total nitrogen position deviation distribution according to the total nitrogen distance between two positions in each group of position mapping pairs; perform alignment optimization processing on the historical total phosphorus significance distribution and the current total phosphorus significance distribution to obtain a total phosphorus position deviation distribution.

[0059] Furthermore, the smart water data monitoring and management system is also used to: randomly select two position combinations within the historical total phosphorus significance distribution and the current total phosphorus significance distribution to construct a set of position mapping pairs, until all position combinations are completed, and obtain multiple sets of first position mapping pairs; extract multiple first mapping total nitrogen differences of the multiple sets of first position mapping pairs according to the multiple total nitrogen difference sets, and calculate the sum of the first total nitrogen differences; continue to traverse the random position mapping combinations, calculate the sum of the total nitrogen differences, and optimize and output multiple sets of position mapping pairs with the smallest sum of total nitrogen differences; based on the multiple total nitrogen distance sets, extract the total nitrogen distances of two positions within the multiple sets of position mapping pairs, obtain multiple total nitrogen distances, and construct a total nitrogen position deviation distribution.

[0060] Furthermore, the smart water data monitoring and management system is also used to: obtain multiple total nitrogen distances within the total nitrogen position deviation distribution, and extract multiple total nitrogen differences of multiple sets of position mapping pairs; according to the multiple total nitrogen differences, perform weighted calculation on the multiple total nitrogen distances to obtain the moving step length of the total nitrogen pollution source, as shown in the following formula: ; Where D is the moving step length of the total nitrogen pollution source, M is the number of multiple position mapping pairs, is the reciprocal of the total nitrogen difference of the i-th group of position mapping pairs, is the inverse of the total nitrogen difference of the j-th group of position mapping pairs, is the total nitrogen distance between two positions within the i-th group of position mapping pairs; obtain multiple total phosphorus distances within the total phosphorus position deviation distribution, and extract multiple total phosphorus differences of multiple groups of position mapping pairs; according to the multiple total phosphorus differences, perform weighted calculation on the multiple total phosphorus distances to obtain the moving step length of the total phosphorus pollution source; according to the moving step length of the total nitrogen pollution source and the moving step length of the total phosphorus pollution source, calculate and obtain the moving step length of the pollution source.

[0061] Furthermore, the intelligent water data monitoring and management system is also used to: calculate the historical average total nitrogen and the historical average total phosphorus according to the historical total nitrogen distribution and the historical total phosphorus distribution, and calculate the current average total nitrogen and the current average total phosphorus according to the current total nitrogen distribution and the current total phosphorus distribution; calculate the total nitrogen change range and the total phosphorus change range according to the historical average total nitrogen and the current average total nitrogen, as well as the historical average total phosphorus and the current average total phosphorus, and calculate the nitrogen and phosphorus change range; obtain the historical pollution source location coordinates and the historical pollution source area at the historical moment; use the nitrogen and phosphorus change range to correct the calculation of the historical pollution source area to obtain the current pollution source area; with the historical pollution source location coordinates as the center, according to the pollution source moving step and the current pollution source area, perform a pollution source search at the current moment, obtain the pollution source search results, and perform water pollution monitoring and management.

[0062] Although preferred embodiments of the present invention have been described, additional changes and modifications may occur to these embodiments once those skilled in the art understand the basic inventive concepts.

[0063] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention belong to the scope of the present invention and its equivalent technologies, the present invention is also intended to include these changes and variations.

Claims

1. A smart water data monitoring and management method, characterized in that: Methods include: At the historical moment and the current moment, the total nitrogen and total phosphorus at multiple locations in the printing and dyeing wastewater are collected to obtain the historical total nitrogen distribution, the historical total phosphorus distribution, the current total nitrogen distribution and the current total phosphorus distribution, and the relative significance is calculated to obtain the historical total nitrogen significance distribution, the historical total phosphorus significance distribution, the current total nitrogen significance distribution and the current total phosphorus significance distribution; Performing alignment optimization processing on the historical total nitrogen significance distribution and the current total nitrogen significance distribution, as well as the historical total phosphorus significance distribution and the current total phosphorus significance distribution, to obtain a total nitrogen position deviation distribution and a total phosphorus position deviation distribution; Calculate the moving step length of the pollution source according to the position deviations of the plurality of positions in the total nitrogen position deviation distribution and the total phosphorus position deviation distribution; According to the historical total nitrogen distribution, historical total phosphorus distribution, current total nitrogen distribution and current total phosphorus distribution, the nitrogen and phosphorus change range is calculated, combined with the moving step of the pollution source, based on the pollution source at the historical moment, the pollution source search at the current moment is performed, the pollution source search result is obtained, and water pollution monitoring and management is carried out.

2. The smart water data monitoring and management method according to claim 1 is characterized in that: At the historical moment and the current moment, the total nitrogen and total phosphorus at multiple locations in the printing and dyeing wastewater are collected to obtain the historical total nitrogen distribution, the historical total phosphorus distribution, the current total nitrogen distribution and the current total phosphorus distribution, and the relative significance calculations are performed respectively, including: At historical moments and current moments, total nitrogen and total phosphorus at multiple locations in the printing and dyeing wastewater are collected, and arranged according to the multiple locations to obtain historical total nitrogen distribution, historical total phosphorus distribution, current total nitrogen distribution, and current total phosphorus distribution, wherein the current moment is a moment after the historical moment; Performing relative significance calculation on the historical total nitrogen distribution to obtain a historical total nitrogen significance distribution; Relative significance calculation is performed on the historical total phosphorus distribution, the current total nitrogen distribution and the current total phosphorus distribution to obtain the historical total phosphorus significance distribution, the current total nitrogen significance distribution and the current total phosphorus significance distribution.

3. The smart water data monitoring and management method according to claim 2 is characterized in that: Performing relative significance calculation on the historical total nitrogen distribution to obtain the historical total nitrogen significance distribution includes: Randomly selecting K historical total nitrogens at K positions within the historical total nitrogen distribution, where K is an integer greater than 1; Extracting a first historical total nitrogen at a first position within the historical total nitrogen distribution; Calculate the total nitrogen change ratio of the K historical total nitrogens to the first historical total nitrogen as the first historical total nitrogen significance; Continue to calculate to obtain multiple historical total nitrogen significances of other multiple locations, and obtain the historical total nitrogen significance distribution.

4. The smart water data monitoring and management method according to claim 1 is characterized in that: Performing alignment optimization processing on the historical total nitrogen significance distribution and the current total nitrogen significance distribution, as well as the historical total phosphorus significance distribution and the current total phosphorus significance distribution, to obtain the total nitrogen position deviation distribution and the total phosphorus position deviation distribution, including: Selecting a first historical total nitrogen significance at a first position in the historical total nitrogen significance distribution, calculating a difference between the first historical total nitrogen significance and all current total nitrogen significances in the current total nitrogen significance distribution, and obtaining a first total nitrogen difference set; According to the coordinate system of the printing and dyeing wastewater, calculating the distance between the first position and all positions in the current total nitrogen significance distribution, to obtain a first total nitrogen distance set; Continue to calculate to obtain multiple total nitrogen difference sets and multiple total nitrogen distance sets for all positions in the historical total nitrogen significance distribution, perform alignment optimization of multiple positions in the historical total phosphorus significance distribution and the current total phosphorus significance distribution, obtain multiple groups of position mapping pairs, and construct a total nitrogen position deviation distribution according to the total nitrogen distance between two positions in each group of position mapping pairs; The historical total phosphorus significance distribution and the current total phosphorus significance distribution are aligned and optimized to obtain the total phosphorus position deviation distribution.

5. The smart water data monitoring and management method according to claim 4 is characterized in that: Perform alignment optimization of multiple positions in the historical total phosphorus significance distribution and the current total phosphorus significance distribution to obtain multiple sets of position mapping pairs. According to the total nitrogen distance between two positions in each set of position mapping pairs, construct the total nitrogen position deviation distribution, including: Randomly selecting two position combinations within the historical total phosphorus significance distribution and the current total phosphorus significance distribution to construct a set of position mapping pairs, until all position combinations are completed, thereby obtaining multiple sets of first position mapping pairs; Extracting a plurality of first mapping total nitrogen difference values ​​of the plurality of first position mapping pairs according to the plurality of total nitrogen difference value sets, and calculating a sum of the first total nitrogen difference values; Continue to traverse the random position mapping combinations, calculate the total nitrogen difference sum, and optimize and output multiple groups of position mapping pairs with the minimum total nitrogen difference sum; Based on the multiple total nitrogen distance sets, the total nitrogen distances of two positions within the multiple sets of position mapping pairs are extracted to obtain multiple total nitrogen distances, and a total nitrogen position deviation distribution is constructed.

6. The smart water data monitoring and management method according to claim 5 is characterized in that: The moving step length of the pollution source is calculated based on the position deviations of the plurality of positions in the total nitrogen position deviation distribution and the total phosphorus position deviation distribution, including: Obtaining a plurality of total nitrogen distances within the total nitrogen position deviation distribution, and extracting a plurality of total nitrogen difference values ​​of a plurality of sets of position mapping pairs; According to the multiple total nitrogen differences, the multiple total nitrogen distances are weighted and calculated to obtain the moving step length of the total nitrogen pollution source, as shown in the following formula: ； Where D is the moving step length of the total nitrogen pollution source, M is the number of multiple position mapping pairs, is the reciprocal of the total nitrogen difference of the i-th group of position mapping pairs, is the inverse of the total nitrogen difference of the j-th group of position mapping pairs, is the total nitrogen distance between the two positions within the i-th group of position mapping pairs; Obtaining a plurality of total phosphorus distances within the total phosphorus position deviation distribution, and extracting a plurality of total phosphorus differences of a plurality of sets of position mapping pairs; According to the multiple total phosphorus difference values, weighted calculation is performed on the multiple total phosphorus distances to obtain the moving step length of the total phosphorus pollution source; The moving step length of the pollution source is calculated based on the moving step length of the total nitrogen pollution source and the moving step length of the total phosphorus pollution source.

7. The smart water data monitoring and management method according to claim 1 is characterized in that: According to the historical total nitrogen distribution, the historical total phosphorus distribution, the current total nitrogen distribution and the current total phosphorus distribution, the nitrogen and phosphorus change amplitude is calculated, and the pollution source at the current moment is searched based on the pollution source at the historical moment in combination with the pollution source moving step, the pollution source search result is obtained, and water pollution monitoring and management is performed, including: According to the historical total nitrogen distribution and the historical total phosphorus distribution, the historical average total nitrogen and the historical average total phosphorus are calculated, and according to the current total nitrogen distribution and the current total phosphorus distribution, the current average total nitrogen and the current average total phosphorus are calculated; According to the historical average total nitrogen and the current average total nitrogen, as well as the historical average total phosphorus and the current average total phosphorus, the change range of total nitrogen and the change range of total phosphorus are calculated, and the change range of nitrogen and phosphorus is calculated; Obtain the location coordinates and area of ​​the historical pollution sources at the historical moment; Using the nitrogen and phosphorus variation range, the historical pollution source area is corrected and calculated to obtain the current pollution source area; Taking the historical pollution source location coordinates as the center, according to the pollution source moving step length and the current pollution source area, the pollution source search at the current moment is performed to obtain the pollution source search result and conduct water pollution monitoring and management.

8. A smart water affairs data monitoring and management system, characterized in that: The steps for implementing a smart water data monitoring and management method as described in any one of claims 1 to 7 include: A relative significance calculation module is used to collect total nitrogen and total phosphorus at multiple locations in printing and dyeing wastewater at historical and current times, obtain historical total nitrogen distribution, historical total phosphorus distribution, current total nitrogen distribution and current total phosphorus distribution, and perform relative significance calculations respectively to obtain historical total nitrogen significance distribution, historical total phosphorus significance distribution, current total nitrogen significance distribution and current total phosphorus significance distribution; An alignment optimization processing module is used to perform alignment optimization processing on the historical total nitrogen significance distribution and the current total nitrogen significance distribution, as well as the historical total phosphorus significance distribution and the current total phosphorus significance distribution, to obtain a total nitrogen position deviation distribution and a total phosphorus position deviation distribution; A pollution source moving step length calculation module, used to calculate the pollution source moving step length according to the position deviations of the plurality of positions in the total nitrogen position deviation distribution and the total phosphorus position deviation distribution; The pollution source search result acquisition module is used to calculate the nitrogen and phosphorus change range based on the historical total nitrogen distribution, the historical total phosphorus distribution, the current total nitrogen distribution and the current total phosphorus distribution, and conduct a pollution source search at the current moment based on the pollution sources at the historical moments in combination with the pollution source moving step, obtain the pollution source search result, and conduct water pollution monitoring and management.

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