A real-time monitoring method and medium for the water quality of urban street rain floods

Abstract

The present application discloses a real-time monitoring method, device and medium for the water quality of urban street rain floods. The method includes: sampling and setting analysis of the terrain distribution data of urban streets to determine the setting strategy of street water quality sampling points; time distribution analysis of the day and night distribution of citizens during rain floods to determine the working cycle of street water quality sampling points, so as to determine the water quality monitoring strategy of street water quality sampling points; analyzing the change of pollution concentration of urban street water quality parameter data to determine the change data of urban street water quality; calibrating the cycle of the pollution state during the disaster to determine the urban street water quality pollution state zoning; and performing critical analysis of the urban street pollution area on the urban street water quality pollution state zoning to obtain the post-disaster cleaning area of urban streets. The present application solves the technical problems that the water quality monitoring device cannot perform real-time detection of the water quality of urban streets and cannot immediately formulate the post-disaster environmental cleaning strategy for rain floods through the above method.

Description

Technical Field

[0001] This application relates to the technical field of urban flood water quality management, and in particular, to a real-time monitoring method, device, and medium for the water quality of urban street rain floods. Background Art

[0002] Water quality monitoring is an important part of environmental monitoring work, aiming to accurately, timely, and comprehensively reflect the current situation and development trend of water quality, and provide a scientific basis for water environment management, pollution source control, environmental planning, etc. This technology mainly detects the chemical substances, suspended solids, sediment, and water ecosystem in water bodies regularly or irregularly to monitor and determine the types, concentrations, and change trends of pollutants in water bodies, so as to evaluate the water quality status.

[0003] When urban streets are flooded due to heavy rainfall, a large amount of pollutants such as sediment, domestic waste, industrial waste, and sewage are often washed and diffused. These pollutants enter the urban drainage system or directly pollute surface water sources, resulting in a sharp deterioration of water quality, posing a serious threat to the safety of residents' drinking water and the ecological environment. The existing water quality monitoring methods cannot monitor the water quality of urban streets in real time, and the strategies for cleaning and disinfecting the streets after the disaster also need to be judged and formulated after the flood has completely receded, unable to meet the immediate post-disaster treatment. Summary of the Invention

[0004] The embodiments of this application provide a real-time monitoring method, device, and medium for the water quality of urban street rain floods, which solve the technical problems that the existing water quality monitoring devices cannot detect the water quality of urban streets in real time during heavy rain floods and cannot immediately formulate post-disaster environmental cleaning strategies for rain floods.

[0005] In a first aspect, the embodiments of this application provide a real-time monitoring method for the water quality of urban street rain floods, characterized in that the method includes: sampling and setting analysis of the terrain distribution data of urban streets to determine the setting strategy of street water quality sampling points; time distribution analysis of the day and night distribution of citizens during rain floods to determine the working cycle of street water quality sampling points, and based on the setting strategy and working cycle, determine the water quality monitoring strategy of street water quality sampling points; based on the water quality monitoring strategy, obtain the water quality parameter data of urban streets, and perform pollution concentration change analysis on the water quality parameter data of urban streets to determine the water quality change data of urban streets; according to the water quality change data of urban streets, determine the water quality pollution state partition of urban streets through in-disaster pollution state cycle calibration; perform critical analysis of the urban street pollution area on the water quality pollution state partition of urban streets to obtain the post-disaster cleaning area of urban streets.

[0006] In an implementation manner of the present application, the terrain distribution data of urban streets is sampled and analyzed to determine the setting strategy of street water quality sampling points, which specifically includes: obtaining the terrain distribution data of urban streets, and based on the terrain distribution data of urban streets, determining the water accumulation distribution state of urban streets through the simulation of the rain-flood water flow direction trend; performing layered layout of the water accumulation areas on the water accumulation distribution state of urban streets to determine the setting strategy of street water quality sampling points.

[0007] In an implementation manner of the present application, the time distribution of the daily and nightly distribution of citizens during rain-flood periods is analyzed to determine the working cycle of street water quality sampling points, which specifically includes: obtaining the daily and nightly distribution data of citizens, and based on the daily and nightly distribution data of citizens, determining the daily and nightly action inertia of citizens through the analysis of citizens' action inertia; determining the citizen distribution inertia adjustment parameter based on the preset unconventional citizen aggregation data during rain-floods; adjusting the parameters of the daily and nightly action inertia of citizens based on the citizen distribution inertia adjustment parameter to obtain the daily and nightly action inertia of citizens during rain-flood periods; determining the working cycle of street water quality sampling points according to the daily and nightly action inertia of citizens.

[0008] In an implementation manner of the present application, the pollution concentration change analysis of the urban street water quality parameter data is performed to determine the urban street water quality change data, which specifically includes: smoothing the urban street water quality parameter data to determine the urban street water quality change curve; based on the urban street water quality change curve, determining the urban street water quality peak group through the analysis of the curve slope change; extracting the regional pollution concentration parameters for the urban street water quality peak group to determine the urban street water quality change data.

[0009] In an implementation manner of the present application, according to the urban street water quality change data, the urban street water quality pollution state zoning is determined through the calibration of the pollution state cycle during the disaster, which specifically includes: according to the urban street water quality change data, determining the urban street water quality pollution cycle through pollution cycle calibration; based on the urban street water quality pollution cycle, delineating the pollution range of the polluted area to obtain the urban street water quality pollution state zoning.

[0010] In an implementation manner of the present application, the critical analysis of the urban street pollution area is performed on the urban street water quality pollution state zoning to obtain the post-disaster cleaning area of urban streets, which specifically includes: tracking the concentration change of the urban street water quality pollution state zoning to determine the critical time data of the urban street pollution area; based on the critical time data of the urban street pollution area, obtaining the post-disaster cleaning center point of urban streets by matching the urban street water quality change data; determining the post-disaster cleaning area of urban streets through the delineation of the post-disaster pollution range according to the post-disaster cleaning center point of urban streets.

[0011] In an implementation manner of the present application, after partitioning the water quality pollution status of urban streets to conduct a critical analysis of the polluted areas of urban streets to obtain the post-disaster cleaning areas of urban streets, the method further includes: determining the post-disaster cleaning strategy for urban streets based on the post-disaster cleaning areas of urban streets; and performing post-disaster cleaning work on the post-disaster cleaning areas of urban streets according to the post-disaster cleaning strategy for urban streets.

[0012] In an implementation manner of the present application, after performing post-disaster cleaning work on the post-disaster cleaning areas of urban streets according to the post-disaster cleaning strategy for urban streets, the method further includes: uploading the post-disaster cleaning work to a preset urban street rain and flood response database; and determining a pre-response strategy for post-disaster cleaning of rain and flood based on the urban street rain and flood response database through iteration of urban rain and flood response measures.

[0013] In a second aspect, an embodiment of the present application further provides a real-time monitoring device for the water quality of urban street rain and flood, characterized in that the device includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and when the instructions are executed by the at least one processor, the at least one processor is enabled to: perform sampling setting analysis on the terrain distribution data of urban streets to determine the setting strategy of street water quality sampling points; perform time distribution analysis on the day and night distribution of citizens during rain and flood to determine the working cycle of street water quality sampling points, and determine the water quality monitoring strategy of street water quality sampling points based on the setting strategy and the working cycle; obtain urban street water quality parameter data based on the water quality monitoring strategy, and perform pollution concentration change analysis on the urban street water quality parameter data to determine the urban street water quality change data; determine the urban street water quality pollution status partition through in-disaster pollution status cycle calibration according to the urban street water quality change data; and conduct a critical analysis of the urban street pollution area on the urban street water quality pollution status partition to obtain the post-disaster cleaning area of urban streets.

[0014] In a third aspect, an embodiment of the present application also provides a non-volatile computer storage medium for real-time monitoring of the water quality of urban street rain floods, storing computer-executable instructions, characterized in that the computer-executable instructions are set to: sample and analyze the terrain distribution data of urban streets to determine the setting strategy of street water quality sampling points; perform time distribution analysis on the day-night distribution of citizens during rain floods to determine the working cycle of street water quality sampling points, and based on the setting strategy and the working cycle, determine the water quality monitoring strategy of street water quality sampling points; based on the water quality monitoring strategy, obtain urban street water quality parameter data, and perform pollution concentration change analysis on the urban street water quality parameter data to determine the urban street water quality change data; according to the urban street water quality change data, determine the urban street water quality pollution state zoning through in-disaster pollution state cycle calibration; perform critical analysis on the urban street pollution area of the urban street water quality pollution state zoning to obtain the post-disaster cleaning area of urban streets.

[0015] An embodiment of the present application provides a method, device and medium for real-time monitoring of the water quality of urban street rain floods. By analyzing the distribution of citizens during rain floods and the terrain distribution of urban streets, the setting strategy of urban street water quality sampling points is determined, and water quality parameter data is obtained according to the set sampling points to determine the urban street water quality change data, so as to formulate corresponding measures, solving the technical problems that the existing water quality monitoring devices cannot perform real-time detection on the water quality of urban streets and cannot immediately formulate post-disaster environmental cleaning strategies for rain floods, realizing real-time detection of the water quality of urban streets and pollution range calibration during rain floods, improving the timeliness and efficiency of formulating post-disaster cleaning strategies for urban streets after rain floods, and providing efficient countermeasures for the urban street sanitation environment and disease prevention. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments and descriptions thereof of the present application are used to explain the present application and do not constitute an improper limitation of the present application. In the drawings:

[0017] Figure 1 It is a flowchart of a method for real-time monitoring of the water quality of urban street rain floods provided by an embodiment of the present application;

[0018] Figure 2 It is a schematic internal structure diagram of a device for real-time monitoring of the water quality of urban street rain floods provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments of this application and the corresponding drawings. Apparently, the described embodiments are only a part of the embodiments of this application, rather than all of them. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this application without creative efforts belong to the scope of protection of this application.

[0020] The embodiments of this application provide a method, device, and medium for real-time monitoring of the water quality of urban street rain floods. By analyzing the distribution of citizens and the terrain distribution of urban streets during rain flood disasters, the setting strategy of water quality sampling points on urban streets is determined, and water quality parameter data is obtained based on the set sampling points to determine the water quality change data of urban streets, so as to formulate countermeasures, solving the technical problems that existing water quality monitoring devices cannot perform real-time detection of the water quality of urban streets during rainstorms and floods and cannot immediately formulate post-disaster environmental cleaning strategies for rain floods, realizing real-time detection of the water quality of urban streets and calibration of the pollution range during rain flood disasters, improving the timeliness and efficiency of formulating post-disaster urban street cleaning strategies, and providing efficient countermeasures for the urban street sanitation environment and disease prevention.

[0021] The technical solutions proposed in the embodiments of this application are described in detail below with reference to the drawings.

[0022] Figure 1 It is a flowchart of a method for real-time monitoring of the water quality of urban street rain floods provided by the embodiments of this application. As Figure 1 shown, a method for real-time monitoring of the water quality of urban street rain floods provided by the embodiments of this application specifically includes the following steps:

[0023] Step 101: Perform sampling setting analysis on the terrain distribution data of urban streets to determine the setting strategy of street water quality sampling points.

[0024] Specifically, it includes: obtaining the terrain distribution data of urban streets, and based on the terrain distribution data of urban streets, determining the accumulated water distribution state of urban streets through the simulation of the rain flood flow trend; performing hierarchical layout of the accumulated water areas on the accumulated water distribution state of urban streets to determine the setting strategy of street water quality sampling points.

[0025] This application performs sampling setting analysis on the terrain distribution data of urban streets to determine the setting strategy of street water quality sampling points, realizing the determination of the distribution settings of street water quality sampling points before the occurrence of rain flood disasters and improving the efficiency of selecting water quality monitoring sampling points on urban streets.

[0026] In the embodiments of this application, it is explained in detail through the following Example 1.

[0027] Example 1: First, it is necessary to obtain the terrain distribution data of urban streets. Through high-precision GPS measuring instruments, UAV aerial photography, and urban GIS systems, key parameters such as the elevation, slope information, and road surface materials of all streets within the city are collected. Then, the collected data is cleaned to remove outliers and incorrect data; subsequently, coordinate transformation and format unification are performed to ensure that all data can be integrated and analyzed on the same platform, obtaining the terrain distribution data of urban streets.

[0028] Simulate the rain-flood water flow trend for the terrain distribution data of urban streets, specifically including: building a flow trend model based on the terrain distribution data of urban streets, simulating the rain-flood water flow direction for the model obtained from the modeling, and correcting the orientation of the simulation results.

[0029] It should be noted that the orientation correction can use the daily water accumulation situation data of urban streets as a data reference to correct and iterate the model output results to obtain the water flow trend closest to the situation of the urban streets suffering from rain-flood disasters.

[0030] Streets with low-lying terrain will inevitably be the main paths for water flow convergence. On this basis, simulate the cumulative state of water accumulation in low-lying areas, that is, the water flow situation in this area. The water accumulation in open areas with good drainage system construction is relatively small. On the contrary, areas such as underground parking lots will have a large amount of water accumulation. Determine the water accumulation distribution state of urban streets through the above technical solutions. The water accumulation distribution state of urban streets characterizes the depth, area, specific shape, and fluidity of the water accumulation areas in urban streets.

[0031] Finally, conduct a hierarchical layout of the water accumulation areas for the water accumulation distribution state of urban streets, divide the water accumulation areas into levels according to the water accumulation depth, and determine the high-density sampling area, medium-density sampling area, and low-density sampling area.

[0032] For areas with large water accumulation depth and long duration, set high-density water quality sampling points. These points should be located at the intersections of streets with the most serious water accumulation, low-lying areas, and near drainage outlets.

[0033] In moderately waterlogged areas, set medium-density water quality sampling points according to the distribution of water accumulation and potential pollution risks. The sampling points should cover the entire area and pay attention to key locations that may be affected by pollution.

[0034] In lightly waterlogged areas and relatively clean areas, set low-density water quality sampling points. These points are mainly used to monitor the water quality change trend and abnormal conditions to save monitoring resources.

[0035] Step 102: Conduct a time distribution analysis of the day-night distribution of citizens during rain-flood periods to determine the working cycle of the street water quality sampling points, and based on the setting strategy and working cycle, determine the water quality monitoring strategy for the street water quality sampling points.

[0036] Specifically, it includes: obtaining the daily day-night distribution data of citizens, and based on the daily day-night distribution data of citizens, through the analysis of citizens' action inertia, determining the daily day-night action inertia of citizens; determining the citizen distribution inertia adjustment parameter based on the preset rain-flood unconventional citizen aggregation data; adjusting the parameters of the daily day-night action inertia of citizens based on the citizen distribution inertia adjustment parameter to obtain the day-night action inertia of citizens during rain-flood periods; and determining the working cycle of the street water quality sampling points according to the day-night action inertia of citizens.

[0037] This application analyzes the time distribution of the day-night distribution of citizens during rain-flood periods to determine the working cycle of the street water quality sampling points, and determines the water quality monitoring strategy of the street water quality sampling points based on the setting strategy and the working cycle, realizing the allocation of the working time period of the urban street water quality sampling device, improving the efficiency of water quality sampling, and reducing the overall energy consumption of the water quality sampling points.

[0038] In the embodiment of this application, it is explained in detail through the following Example 2.

[0039] Example 2: First, using the environmental meteorological data service platform and social media big data, collect the citizen activity distribution in each street and community at different time periods. Clean, de-duplicate, and standardize the collected data to form a daily day-night distribution database of citizens, including key fields such as time (hour / minute), location (street / community), and the number of citizen aggregations.

[0040] Based on the above daily day-night distribution data of citizens, through inertia analysis, determine the distribution characteristics of citizens in different time periods in the city under normal conditions, and determine the daily day-night action inertia of citizens.

[0041] Due to the environmental changes during rain-flood disasters, the difference between citizens' restricted travel or staying at home and their daily day-night action inertia will occur. In order to obtain the activity inertia of citizens during rain-flood disasters, it is necessary to adjust the daily day-night action inertia of citizens that can be conveniently obtained from the data source.

[0042] First, according to the predictable road conditions, the degree of disaster impact, and the changes in day-night citizen activities during rain-flood periods, determine the flood unconventional citizen aggregation data, which is used to characterize the degree of change in the aggregation of citizens in the city during rain-floods.

[0043] According to the flood unconventional citizen aggregation data, adjust the parameters of the daily day-night action inertia of citizens to obtain the day-night action inertia of citizens during rain-flood periods, and the day-night action inertia of citizens during rain-flood periods characterizes the action inertia of citizens in different time periods during rain-flood periods.

[0044] According to the daily and nightly movement inertia of citizens, during the time periods with a high number of gathered people and the corresponding gathering places of citizens, by enclosing with streets within a predetermined range, the corresponding water quality sampling points are queried. The queried water quality sampling points are set with working nodes according to the daily and nightly movement inertia of citizens during the rain and flood period, and the working cycle of the street water quality sampling points is determined.

[0045] It should be noted that if the gathering situation of citizens around the water quality sampling points in this area is relatively dense (that is, staying at this location for the vast majority of the time in a day, such as a temporary shelter or residence), then the energy-saving problem of the sampling points does not need to be considered, and urban street water quality monitoring needs to be carried out all day long.

[0046] Step 103: Based on the water quality monitoring strategy, the urban street water quality parameter data is obtained, and the pollution concentration change analysis is carried out on the urban street water quality parameter data to determine the urban street water quality change data.

[0047] Specifically, it includes: smoothing the urban street water quality parameter data to determine the urban street water quality change curve; based on the urban street water quality change curve, through the analysis of the curve slope change, determining the urban street water quality peak group; extracting the regional pollution concentration parameters of the urban street water quality peak group to determine the urban street water quality change data.

[0048] This application analyzes the pollution concentration change of the urban street water quality parameter data to determine the urban street water quality change data, realizes the real-time analysis of the urban street water quality parameters and the tracking of the pollution degree, improves the evaluation efficiency of the urban street pollution state, and provides a data basis for formulating corresponding strategies during and after disasters.

[0049] In the embodiment of this application, it is explained in detail through the following Example 3.

[0050] Example 3: First, the urban street water quality parameter data is obtained through the pre-set urban street water quality sampling points, and the water quality parameter data is smoothed by the exponential smoothing method to obtain the urban street water quality change curve for intuitively observing the water quality change trend.

[0051] Then, the derivative calculation is carried out on the smoothed water quality change curve, and the slope of the curve at each point is calculated to reflect the speed of water quality change, and the points where the slope changes from positive to negative or from negative to positive are identified, that is, the peaks or valleys, and the adjacent peaks (or valleys) are combined into a peak group.

[0052] Finally, for each peak group, the water quality parameter data within its corresponding time period is extracted, and the average pollution concentration within the peak group is calculated to reflect the overall pollution level during this time period.

[0053] Step 104: Determine the water quality pollution status zoning of urban streets through in-disaster pollution status cycle calibration based on the water quality change data of urban streets.

[0054] Specifically, it includes: determining the water quality pollution cycle of urban streets through pollution cycle calibration based on the water quality change data of urban streets; delineating the pollution scope of the polluted area based on the water quality pollution cycle of urban streets to obtain the water quality pollution status zoning of urban streets.

[0055] This application determines the water quality pollution status zoning of urban streets through in-disaster pollution status cycle calibration based on the water quality change data of urban streets, realizes the real-time calibration of polluted areas during rain-flood disasters, and improves the safety of citizens during rain-flood disasters.

[0056] In the embodiment of this application, it is explained in detail through the following Example 4.

[0057] Example 4: Determine the pollution status according to the water quality change data of urban streets. Divide the cycle based on the total duration of water quality pollution as the standard, and calibrate the cycle corresponding to severe water quality pollution to determine the water quality pollution cycle of urban streets.

[0058] Since the accumulated water is not in a stable state during rain-flood periods, the pollution deposition amount is small and the concentration distribution is uneven. It is necessary to delineate the area based on the water quality pollution cycle of urban streets and the severity level of pollution (corresponding to the real-time urban street water quality parameter data obtained at the water quality sampling points of the streets) to obtain the water quality pollution status zoning of urban streets. Generally speaking, the higher the pollution level, the larger the delineation radius.

[0059] Step 105: Conduct a critical analysis of the urban street pollution area for the water quality pollution status zoning of urban streets to obtain the post-disaster cleaning area of urban streets.

[0060] Specifically, it includes: tracking the concentration change of the water quality pollution status zoning of urban streets to determine the critical time data of the urban street pollution area; based on the critical time data of the urban street pollution area, obtaining the post-disaster cleaning center point of urban streets by matching the water quality change data of urban streets; determining the post-disaster cleaning area of urban streets through post-disaster pollution scope delineation based on the post-disaster cleaning center point of urban streets.

[0061] After conducting a critical analysis of the urban street pollution area for the water quality pollution status zoning of urban streets to obtain the post-disaster cleaning area of urban streets, the method further includes: determining the post-disaster cleaning strategy for urban streets based on the post-disaster cleaning area of urban streets; carrying out post-disaster cleaning work on the post-disaster cleaning area of urban streets according to the post-disaster cleaning strategy of urban streets.

[0062] After the post-disaster cleaning work on the post-disaster cleaning area of the urban street is carried out according to the post-disaster cleaning strategy of the urban street, the method further includes: uploading the post-disaster cleaning work to a preset urban street rain and flood response database; and based on the urban street rain and flood response database, determining a pre-response strategy for post-disaster cleaning of rain and flood through iteration of urban rain and flood response measures.

[0063] In this application, by performing a critical analysis of the pollution area of the urban street by zoning the water quality pollution state of the urban street to obtain the post-disaster cleaning area of the urban street, and determining the post-disaster cleaning strategy of the urban street and the pre-response strategy for post-disaster cleaning of rain and flood based on the post-disaster cleaning area of the urban street, a complete response strategy for urban street rain and flood is realized, the efficiency of the post-disaster treatment strategy for rain and flood is improved, the urban street hygiene and the health status of citizens are improved, and a treatment countermeasure is provided in advance for possible subsequent rain and flood disasters.

[0064] In the embodiment of this application, it is explained in detail through Example 5 below.

[0065] Example 5: First, track the concentration change of the water quality pollution state zoning of the urban street, determine the pollution peak and valley values of the water quality pollution state zoning of the urban street as the critical points, and judge whether the pollution concentration is diluted as the rainfall and the accumulated water volume increase, so as to determine the critical time data of the pollution area of the urban street.

[0066] Based on the critical time data of the pollution area of the urban street, by matching the water quality change data of the urban street, query the highest pollution concentration level of the pollution area stratification (the level is divided according to the depth in the above technical solution), and use the center point of this level as the center point for post-disaster cleaning of the urban street.

[0067] According to the center point for post-disaster cleaning of the urban street, determine the post-disaster cleaning area of the urban street by delineating the post-disaster pollution range.

[0068] The above is the method embodiment proposed in this application. Based on the same inventive concept, the embodiment of this application also provides a real-time monitoring device for the water quality of urban street rain and flood, and its structure is as Figure 2 shown.

[0069] Figure 2 It is a schematic diagram of the internal structure of a real-time monitoring device for the water quality of urban street rain and flood provided by the embodiment of this application. As Figure 2 shown, the device includes:

[0070] At least one processor 201;

[0071] And a memory 202 communicatively connected to at least one processor;

[0072] Among them, the memory 202 stores instructions executable by at least one processor. The instructions are executed by at least one processor 201 to enable the at least one processor 201 to:

[0073] Perform sampling setting analysis on the terrain distribution data of urban streets to determine the setting strategy of street water quality sampling points; perform time distribution analysis on the day and night distribution of citizens during rain floods to determine the working cycle of street water quality sampling points, and based on the setting strategy and the working cycle, determine the water quality monitoring strategy of street water quality sampling points; based on the water quality monitoring strategy, obtain urban street water quality parameter data, and perform pollution concentration change analysis on the urban street water quality parameter data to determine urban street water quality change data; according to the urban street water quality change data, determine the urban street water quality pollution status partition through in-disaster pollution status cycle calibration; perform critical analysis of urban street pollution areas on the urban street water quality pollution status partition to obtain the post-disaster cleaning area of urban streets.

[0074] Some embodiments of the present application provide a non-volatile computer storage medium corresponding to Figure 1 for real-time monitoring of the water quality of urban street rain floods, storing computer-executable instructions, and the computer-executable instructions are set as:

[0075] Perform sampling setting analysis on the terrain distribution data of urban streets to determine the setting strategy of street water quality sampling points; perform time distribution analysis on the day and night distribution of citizens during rain floods to determine the working cycle of street water quality sampling points, and based on the setting strategy and the working cycle, determine the water quality monitoring strategy of street water quality sampling points; based on the water quality monitoring strategy, obtain urban street water quality parameter data, and perform pollution concentration change analysis on the urban street water quality parameter data to determine urban street water quality change data; according to the urban street water quality change data, determine the urban street water quality pollution status partition through in-disaster pollution status cycle calibration; perform critical analysis of urban street pollution areas on the urban street water quality pollution status partition to obtain the post-disaster cleaning area of urban streets.

[0076] Each embodiment in the present application is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. The key point of each embodiment is to illustrate the differences from other embodiments. In particular, for the embodiments of the Internet of Things devices and media, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiments.

[0077] The systems and media provided by the embodiments of the present application correspond one-to-one with the methods. Therefore, the systems and media also have beneficial technical effects similar to the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the systems and media will not be elaborated here.

[0078] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0079] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the specified functions in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0080] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the specified functions in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0081] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are performed on the computer or other programmable device to generate a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for implementing the specified functions in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0082] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0083] The memory may include non-permanent memory in the form of computer-readable media, random access memory (RAM), and / or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM). The memory is an example of computer-readable media.

[0084] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0085] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0086] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A real-time monitoring method for the water quality of urban street rain floods, characterized in that, The method includes: Performing sampling setting analysis on the terrain distribution data of urban streets to determine the setting strategy of street water quality sampling points; Performing time distribution analysis on the day-night distribution of citizens during rain-flood periods to determine the working cycle of the street water quality sampling points, and based on the setting strategy and working cycle, determining the water quality monitoring strategy of the street water quality sampling points; Based on the water quality monitoring strategy, obtaining urban street water quality parameter data, and performing pollution concentration change analysis on the urban street water quality parameter data to determine urban street water quality change data; According to the urban street water quality change data, determining the urban street water quality pollution state zoning through in-disaster pollution state cycle calibration; Performing critical analysis of the urban street pollution area on the urban street water quality pollution state zoning to obtain the post-disaster cleaning area of urban streets; Performing time distribution analysis on the day-night distribution of citizens during rain-flood periods to determine the working cycle of the street water quality sampling points, specifically including: Obtaining the day-night distribution data of citizens in daily life, and based on the day-night distribution data of citizens in daily life, determining the distribution characteristics of citizens in different time periods in the city under normal conditions through citizen action inertia analysis, and determining the day-night action inertia of citizens in daily life; According to the predictable road conditions, disaster impact degree, and day-night citizen activity change conditions during rain-flood periods, determining the flood unconventional citizen aggregation data, where the flood unconventional citizen aggregation data is used to characterize the change degree of citizen aggregation in the city during rain-floods; According to the flood unconventional citizen aggregation data, adjusting the parameters of the day-night action inertia of citizens to obtain the day-night action inertia of citizens during rain-flood periods, where the day-night action inertia of citizens during rain-flood periods characterizes the action inertia of citizens in different time periods during rain-flood periods; According to the day-night action inertia of citizens during rain-flood periods, determining the working cycle of the street water quality sampling points.

2. The real-time monitoring method for the water quality of urban street rain floods according to claim 1, characterized in that, Performing sampling setting analysis on the terrain distribution data of urban streets to determine the setting strategy of street water quality sampling points, specifically including: Obtaining the terrain distribution data of the urban streets, and based on the terrain distribution data of the urban streets, determining the water accumulation distribution state of urban streets through rain-flood water flow trend simulation; Performing hierarchical layout of the water accumulation areas on the water accumulation distribution state of the urban streets, and dividing the water accumulation areas according to the water accumulation depth to determine the setting strategy of the street water quality sampling points.

3. A real-time monitoring method for the water quality of urban street rain floods according to claim 1, characterized in that, Performing pollution concentration change analysis on the urban street water quality parameter data to determine urban street water quality change data, specifically including: Performing smoothing processing on the urban street water quality parameter data to determine the urban street water quality change curve; Based on the urban street water quality change curve, determining the urban street water quality peak group through curve slope change analysis; Extracting regional pollution concentration parameters from the urban street water quality peak group to determine the urban street water quality change data.

4. The real-time monitoring method for the water quality of urban street rain floods according to claim 1, wherein, According to the urban street water quality change data, determining the urban street water quality pollution state zoning through in-disaster pollution state cycle calibration, specifically including: According to the urban street water quality change data, determining the urban street water quality pollution cycle through pollution cycle calibration; Based on the water quality pollution cycle of the urban streets, the pollution range of the polluted area is delineated to obtain the water quality pollution status zoning of the urban streets.

5. The real-time monitoring method for the water quality of urban street rain floods according to claim 2, characterized in that, Perform a critical analysis of the polluted areas in the urban streets on the basis of the water quality pollution status zoning of the urban streets to obtain the post-disaster cleaning areas of the urban streets, specifically including: Track the concentration changes in the water quality pollution status zoning of the urban streets to determine the critical time data of the polluted areas in the urban streets; Based on the critical time data of the polluted areas in the urban streets, by matching the water quality change data of the urban streets, query the highest pollution concentration level of the stratified polluted areas, and use the center point of this level as the center point for post-disaster cleaning of the urban streets to obtain the center point for post-disaster cleaning of the urban streets; According to the center point for post-disaster cleaning of the urban streets, determine the post-disaster cleaning areas of the urban streets by delineating the post-disaster pollution range.

6. The real-time monitoring method for the water quality of urban street rain floods according to claim 1, characterized in that, After performing a critical analysis of the polluted areas in the urban streets on the basis of the water quality pollution status zoning of the urban streets to obtain the post-disaster cleaning areas of the urban streets, the method further includes: Determine the post-disaster cleaning strategy for the urban streets based on the post-disaster cleaning areas of the urban streets; Perform post-disaster cleaning work on the post-disaster cleaning areas of the urban streets according to the post-disaster cleaning strategy for the urban streets.

7. A real-time monitoring method for the water quality of urban street rain floods according to claim 6, characterized in that, After performing post-disaster cleaning work on the post-disaster cleaning areas of the urban streets according to the post-disaster cleaning strategy for the urban streets, the method further includes: Upload the post-disaster cleaning work to a preset urban street rain and flood response database; Based on the urban street rain and flood response database, determine the pre-response strategy for post-disaster cleaning of rain and flood through iteration of urban rain and flood response measures.

8. A non - volatile computer storage medium stores computer - executable instructions, characterized in that, The computer-executable instructions are set to: Perform sampling setting analysis on the terrain distribution data of the urban streets to determine the setting strategy of the water quality sampling points on the streets; Perform time distribution analysis on the day-night distribution of citizens during rain and flood to determine the working cycle of the water quality sampling points on the streets, and based on the setting strategy and the working cycle, determine the water quality monitoring strategy of the water quality sampling points on the streets; Based on the water quality monitoring strategy, obtain the water quality parameter data of the urban streets, and perform pollution concentration change analysis on the water quality parameter data of the urban streets to determine the water quality change data of the urban streets; According to the water quality change data of the urban streets, determine the water quality pollution status zoning of the urban streets through calibration of the pollution status cycle during the disaster; Perform a critical analysis of the polluted areas in the urban streets on the basis of the water quality pollution status zoning of the urban streets to obtain the post-disaster cleaning areas of the urban streets; Perform time distribution analysis on the day-night distribution of citizens during rain and flood to determine the working cycle of the water quality sampling points on the streets, specifically including: Obtain the daily day-night distribution data of citizens, and based on the daily day-night distribution data of citizens, determine the distribution characteristics of citizens in different time periods in the city under normal conditions through analysis of citizens' action inertia, and determine the daily day-night action inertia of citizens; Determine the flood-unconventional citizen aggregation data according to the predictable road conditions, disaster impact degree, and day-night citizen activity change conditions during rain and flood, and the flood-unconventional citizen aggregation data is used to characterize the degree of change in the aggregation of citizens in the city during rain and flood. According to the unconventional citizen aggregation data during floods, the daily and nightly action inertia of citizens is parameter-adjusted to obtain the daily and nightly action inertia of citizens during rain floods. The daily and nightly action inertia of citizens during rain floods characterizes the action inertia of citizens at different time periods during rain floods. According to the daily and nightly action inertia of citizens during rain floods, the working cycle of the street water quality sampling points is determined.

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