A method and system for intelligently evaluating environmental sanitation operation quality by fusing multi-source data

Abstract

The application is suitable for the field of urban water environment sanitation and intelligent operation control technology, and provides a sanitation operation quality intelligent evaluation method and system fusing multi-source data.The method comprises the following steps: when sanitation operation is implemented by using the predetermined cleaning device subsequently, the relative offset distance between the instant operation position and the water quality self-stable area is acquired in real time based on the reference offset distance, and the preset operation intensity is dynamically adjusted according to the difference between the reference offset distance and the relative offset distance.The technical scheme of the application effectively considers the cleaning efficiency and the subsequent water quality stability, avoids the secondary pollution caused by the traditional unified intensity cleaning, significantly improves the fine and long-term management level of the sanitation operation, and has outstanding practical value and broad popularization and application prospect.

Description

Technical Field

[0001] This invention belongs to the field of urban water environment sanitation and intelligent operation control technology, and in particular relates to an intelligent assessment method and system for sanitation operation quality that integrates multi-source data. Background Technology

[0002] Existing sanitation operation quality assessment technologies are mostly based on manual inspections, regular water sampling, and routine monitoring, typically relying on comprehensive analysis of water quality test data or operation logs at fixed frequencies. In enclosed or semi-enclosed urban water bodies, such as landscape lakes, artificial wetlands, and park water feature systems, hydrodynamic exchange is weaker, and water quality changes are more sensitive to disturbances. Although existing technologies can identify water quality self-stabilizing zones and obtain basic hydrodynamic, water quality, and operational information, they mostly remain at the data recording and post-event assessment stage, lacking dynamic control capabilities that are linked to the real-time cleaning process.

[0003] In existing sanitation operations, cleaning equipment typically performs uniform cleaning of the entire water body according to a single, preset intensity. While this method can improve the apparent cleanliness of the water body in the short term, for enclosed water bodies with a stable water quality zone, excessive or uneven disturbance often leads to phenomena such as sediment release, pollutant resuspension, and dissolved oxygen depletion, resulting in a deterioration of water quality within a certain period after cleaning. Current technology does not provide an intelligent method that can dynamically adjust the cleaning intensity by combining spatial location, the characteristics of the water quality's stable zone, and real-time offset information.

[0004] The resulting technical deficiencies are mainly manifested in the following aspects: First, there is a lack of an assessment model that deeply correlates historical operation records with the feedback effect of water quality deterioration, making it impossible to scientifically quantify the impact of spatial deviation between different operation locations and the water quality self-stabilization zone on subsequent water quality; Second, there is a lack of a dynamic intensity adjustment mechanism based on real-time operation location, making it impossible to fully utilize the self-purification advantage when close to the water quality self-stabilization zone, and also impossible to proactively reduce the disturbance risk when far away. Summary of the Invention

[0005] The purpose of this invention is to provide an intelligent assessment method and system for the quality of sanitation operations that integrates multi-source data, in order to solve the problems mentioned in the background art.

[0006] This invention is implemented as follows: an intelligent assessment method for the quality of sanitation operations that integrates multi-source data, the method comprising:

[0007] Obtain past sanitation operation records for the enclosed water body to be evaluated, and determine the water quality self-stabilization zone of the enclosed water body;

[0008] By analyzing past sanitation operation records, we can determine whether, under the conditions of using predetermined cleaning equipment to clean a closed water body with a predetermined type of pollutant, and with the same distribution and concentration of pollutants, there is a specific trend that the decrease in water purification efficiency due to the feedback effect of water quality deterioration increases linearly as the relative offset distance of the operation location from the water quality self-stabilizing zone increases within a predetermined time after cleaning.

[0009] If a specific trend exists, find the relative offset distance corresponding to the decrease that is less than and closest to the preset threshold for the decrease in water quality purification efficiency, and set it as the reference offset distance.

[0010] When carrying out sanitation operations using the predetermined cleaning device, the relative offset distance between the immediate operation position and the water quality self-stabilizing zone is obtained in real time based on the reference offset distance, and the preset operation intensity is dynamically adjusted according to the difference between the offset distance and the reference offset distance.

[0011] As a further limitation of the technical solution of the present invention, the water quality self-stabilizing zone refers to a local water area in the closed water body that has the characteristics of frequent hydrodynamic exchange, high dissolved oxygen content, or strong natural dilution and self-purification ability.

[0012] As a further limitation of the technical solution of the present invention, the relative offset distance of the operation location from the water quality self-stabilizing zone refers to the equivalent water area distance from the current operation point to the boundary of the water quality self-stabilizing zone under the coupling field of hydrodynamic and water quality, which is determined based on comprehensive factors such as the hydrodynamic exchange characteristics, water quality gradient distribution and flow direction and velocity of the water quality self-stabilizing zone. It is used to characterize the degree of spatial deviation between the operation location and the water quality self-stabilizing zone in terms of water environment effect.

[0013] As a further limitation of the technical solution of the present invention, the predetermined cleaning device has the function of adjustable working intensity, and when cleaning pollutants in the water area, it will generate physical disturbances such as stirring the water, disturbing the bottom sediment, or destroying the local water stability structure, thereby triggering a feedback effect of water quality deterioration after cleaning.

[0014] As a further limitation of the technical solution of the present invention, the decrease in water purification efficiency caused by the feedback effect of water quality deterioration refers to the quantitative difference or difference in the water quality index relative to the improvement value when the cleaning is completed, caused by phenomena such as sediment release, pollutant resuspension or dissolved oxygen consumption due to cleaning disturbance during the preset time monitoring process after the cleaning is completed. This is used to characterize the degree of weakening of water purification effect caused by water quality deterioration feedback.

[0015] As a further limitation of the technical solution of this embodiment of the invention, when carrying out sanitation operations using the predetermined cleaning device, the step of dynamically adjusting the preset operation intensity based on the difference between the real-time operation position and the water quality self-stabilizing zone, using the reference offset distance as a benchmark, includes:

[0016] During the sanitation operation in the enclosed water body using a predetermined cleaning device and with a preset work intensity, the real-time working position of the predetermined cleaning device is obtained, and its real-time relative offset distance relative to the water quality self-stabilizing zone is calculated.

[0017] The difference between the instantaneous relative offset distance and the reference offset distance is quantified to generate a correction factor, and the preset work intensity is adjusted using the correction factor based on the preset work intensity.

[0018] As a further limitation of the technical solution of this embodiment of the invention, when using the correction factor to correct the parameters of the preset work intensity, a preset correction model is adopted, and the correction model is:

[0019] ;

[0020] in, This refers to the revised workload. This refers to the preset workload. This refers to the minimum permissible workload. This refers to the maximum permissible workload. This refers to the instantaneous relative offset distance. This refers to the reference offset distance. This refers to the correction factor, which is the difference between the instantaneous relative offset distance and the reference offset distance. This refers to the correction amplitude control coefficient, and it satisfies... .

[0021] A smart assessment system for sanitation operation quality that integrates multi-source data, the system comprising:

[0022] The data acquisition module is used to acquire past sanitation operation records of the closed water body to be evaluated and to determine the water quality self-stabilization zone of the closed water body.

[0023] The data analysis module is used to analyze past sanitation operation records and analyze whether, when a predetermined cleaning device is used to clean a predetermined type of pollutant in a closed water body, under the conditions of the predetermined operation intensity and the same pollutant distribution and concentration, there is a specific trend that the decrease in water purification efficiency due to the feedback effect of water quality deterioration increases linearly as the relative offset distance of the operation location from the water quality self-stabilizing zone increases within a predetermined time after cleaning.

[0024] The reference offset distance determination module is used to find the relative offset distance corresponding to the decrease in water quality purification efficiency that is less than and closest to the preset water quality purification efficiency decrease threshold if a specific trend exists, and set it as the reference offset distance.

[0025] The dynamic intensity adjustment module is used to obtain the relative offset distance between the instantaneous operation position and the water quality self-stabilizing zone in real time, based on the reference offset distance, when the predetermined cleaning device is used to carry out sanitation operations, and to dynamically adjust the preset operation intensity according to the difference between the offset distance and the reference offset distance.

[0026] As a further limitation of the technical solution of the present invention, the water quality self-stabilizing zone refers to a local water area in the closed water body that has the characteristics of frequent hydrodynamic exchange, high dissolved oxygen content, or strong natural dilution and self-purification ability.

[0027] As a further limitation of the technical solution of the present invention, the relative offset distance of the operation location from the water quality self-stabilizing zone refers to the equivalent water area distance from the current operation point to the boundary of the water quality self-stabilizing zone under the coupling field of hydrodynamic and water quality, which is determined based on comprehensive factors such as the hydrodynamic exchange characteristics, water quality gradient distribution and flow direction and velocity of the water quality self-stabilizing zone. It is used to characterize the degree of spatial deviation between the operation location and the water quality self-stabilizing zone in terms of water environment effect.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] Based on existing water quality self-stabilizing zone identification technology, this invention innovatively constructs a correlation model between water quality deterioration feedback effect and operation location, and proposes a dynamic correction mechanism with reference offset distance as the core. During the operation, the instantaneous relative offset distance is calculated in real time and the preset operation intensity is adjusted accordingly, realizing intelligent control that automatically increases intensity when approaching the water quality self-stabilizing zone and automatically decreases intensity when moving away from it.

[0030] This solution effectively balances cleaning efficiency with subsequent water quality stability, avoids secondary pollution caused by traditional uniform intensity cleaning, significantly improves the refinement and long-term management level of sanitation operations, and has outstanding practical value and broad prospects for promotion and application. Attached Figure Description

[0031] Figure 1 A flowchart of the method provided in the embodiments of the present invention;

[0032] Figure 2 This is a flowchart illustrating the dynamic adjustment of a preset workload in the method provided in this embodiment of the invention;

[0033] Figure 3 The application architecture diagram of the system provided in the embodiments of the present invention. Detailed Implementation

[0034] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0035] Figure 1 A flowchart of the method provided by an embodiment of the present invention is shown.

[0036] Specifically, a method for intelligently assessing the quality of sanitation operations by integrating multi-source data includes the following steps:

[0037] Step S100: Obtain the previous sanitation operation record data of the closed water body to be evaluated, and determine the water quality self-stabilization zone of the closed water body.

[0038] The water quality self-stabilizing zone refers to a local water area in the closed water body that has characteristics such as frequent hydrodynamic exchange, high dissolved oxygen content, or strong natural dilution and self-purification capabilities.

[0039] In this embodiment of the invention, the enclosed water body to be evaluated can be an urban landscape lake, an artificial wetland, an enclosed water feature system in a park or community, a slow-flowing or weir-type river section, or a closed reservoir bay area, etc., with relatively enclosed or semi-enclosed hydrodynamic characteristics. These types of water bodies share the common characteristics of limited water exchange and replenishment, weak scouring effect from external water flows, and greater sensitivity to local disturbances in water quality changes. The reason for choosing these enclosed water bodies as the research object is that they often possess a self-regulating water quality stability zone. Furthermore, after sanitation cleanup, they are more prone to water quality deterioration feedback effects caused by sediment disturbance, pollutant resuspension, or localized dissolved oxygen consumption. This feedback process can be fully collected and quantified by the monitoring system, and the water quality deterioration feedback effect from a localized area will not drift over a certain period, thus providing a reliable real-time data foundation for the method of this invention.

[0040] The term "water quality self-stabilizing zone" refers to a localized area within a closed water body characterized by frequent hydrodynamic exchange, high dissolved oxygen content, or strong natural dilution and self-purification capabilities. These areas are often located in areas with concentrated local water circulation, groundwater recharge, or oxygen-rich plant growth. Their key characteristic is their ability to quickly restore water quality balance and maintain a high level of self-purification when disturbed by external factors or during cleanup operations. Because of these stable and self-purifying properties, water quality self-stabilizing zones are of significant reference value in the spatial planning and intensity adjustment of cleanup operations.

[0041] The determination of the water quality self-stabilizing zone relies on the application of existing mature water environment analysis technologies and can be obtained through various established methods. These include establishing hydrodynamic numerical simulation models to calculate the flow direction, velocity, and exchange frequency of the water body; identifying stable regions of water quality changes through online monitoring of dissolved oxygen and other key water quality indicators; measuring the three-dimensional flow field characteristics of the water body using acoustic Doppler velocity profiles (ADCP); and combining this with a comprehensive analysis of historical water quality evolution data. Through the fusion analysis of the above multi-source data, the spatial range of the water quality self-stabilizing zone in enclosed water bodies can be accurately determined before sanitation operations, providing reliable technical support for subsequent dynamic adjustments to operation intensity and water quality feedback monitoring.

[0042] The historical sanitation operation records can be derived from various sources, including historical operation archives of sanitation management departments, operation logs of automated cleaning equipment, operation trajectory data from drones or shipborne monitoring platforms, and associated records from online water quality monitoring systems. This data typically includes operation time, operation route, spatial coordinates of the operation area, preset operation intensity, operation duration, distribution and concentration information of pollutants on the cleaned objects, on-site water quality monitoring data, and water quality change data within a preset time period after the operation is completed.

[0043] Furthermore, the intelligent assessment method for sanitation operation quality that integrates multi-source data also includes the following steps:

[0044] Step S200: Analyze the previous sanitation operation record data and analyze whether, when using a predetermined cleaning device to carry out cleaning operations on a predetermined type of pollutant in a closed water body, under the conditions of using a predetermined operation intensity and facing the same pollutant distribution and concentration, there is a specific trend that as the relative offset distance of the operation location from the water quality self-stabilizing zone increases, the decrease in water quality purification efficiency due to the feedback effect of water quality deterioration will linearly increase within a predetermined time after cleaning.

[0045] In step S300, if a specific trend exists, find the relative offset distance corresponding to the decrease that is less than and closest to the preset threshold for the decrease in water purification efficiency, and set it as the reference offset distance.

[0046] The relative offset distance between the work location and the water quality self-stabilizing zone refers to the equivalent water area distance from the current work point to the boundary of the water quality self-stabilizing zone under the coupling field of hydrodynamics and water quality, determined by comprehensive factors such as the hydrodynamic exchange characteristics, water quality gradient distribution, and flow direction and velocity of the water quality self-stabilizing zone. It is used to characterize the degree of spatial deviation between the work location and the water quality self-stabilizing zone in terms of water environment effects.

[0047] The predetermined cleaning device has the function of adjustable working intensity, and when cleaning pollutants in the water area, it will generate physical disturbances such as stirring the water, disturbing the bottom sediment, or destroying the local water stability structure, thereby triggering a feedback effect of water quality deterioration after cleaning.

[0048] The decline in water purification efficiency due to water quality deterioration feedback refers to the quantitative difference or magnitude of the increase or deterioration of water quality indicators relative to the improvement value at the time of cleaning completion during the preset time monitoring process after the cleaning operation is completed, caused by phenomena such as sediment release, pollutant resuspension, or dissolved oxygen consumption due to cleaning disturbance. It is used to characterize the degree of weakening of water purification effect due to water quality deterioration feedback.

[0049] In this embodiment of the invention, the predetermined cleaning device can be a variety of sanitation and cleaning equipment suitable for enclosed water bodies, including but not limited to adjustable-power surface cleaning boats, unmanned cleaning boats, and multifunctional cleaning platforms with flexible grasping and adsorption systems. The predetermined pollutant types can be common organic floating objects and sediments in enclosed water bodies, such as cyanobacteria clumps, fallen leaves and branches, algae debris, floating kitchen waste, and bottom sediments containing organic matter. Such cleaning devices typically have adjustable operating intensity, and their power, propulsion speed, adsorption pressure, or agitation depth can be controlled according to operational needs. When cleaning pollutants in enclosed water bodies, such devices inevitably produce physical disturbances that agitate the water, disturb the bottom sediment, or disrupt the local water body's stable structure. This causes previously deposited nutrients, suspended particles, and organic matter sealed in the bottom sediment to re-enter the water body and consume dissolved oxygen, ultimately leading to a feedback effect of water quality deterioration after cleaning.

[0050] The preset operational intensity refers to parameters such as cleaning power, propulsion speed, adsorption pressure, or overall operational intensity set and maintained by sanitation workers or automated devices during routine operations. This intensity typically persists throughout the entire operation and is a commonly used working mode in existing water sanitation technologies. The conditions of equivalent pollutant distribution and concentration can be comprehensively judged using real-time or historical water quality monitoring data. For example, if indicators such as COD, ammonia nitrogen, and suspended solids concentrations are at the same order of magnitude and the spatial distribution of pollutants is consistent, the operational conditions can be considered identical, thus ensuring comparability between different operational locations.

[0051] The relative offset distance between the operating location and the water quality self-stabilizing zone refers to the equivalent water area distance from the current operating point to the boundary of the water quality self-stabilizing zone under the coupled hydrodynamic and water quality field, taking into account factors such as the hydrodynamic exchange characteristics, water quality gradient distribution, flow direction, and velocity of the water quality self-stabilizing zone. Specifically, this can be achieved by deploying multiple flow velocity and direction monitoring instruments, combining hydrodynamic numerical simulation and water quality models to plot the dynamic boundary of the water quality self-stabilizing zone, and then calculating the equivalent water area distance from any operating point to this boundary based on GIS spatial analysis technology. For example, in a closed urban lake, acoustic Doppler velocity profile (ADCP) can be used to obtain lake flow field data, and combined with the gradient distribution of dissolved oxygen and COD to construct a coupled hydrodynamic and water quality field, thereby accurately calculating the equivalent distance of the cleaning vessel's current position relative to the boundary of the water quality self-stabilizing zone. Since the above methods are all mature technologies in the field of water environment engineering, the setting of this relative offset distance is operable and repeatable.

[0052] The preset time after cleaning can be set according to the self-purification cycle and water quality recovery characteristics of the target water body. For example, 12 hours, 24 hours, 48 ​​hours, or longer can be selected as typical observation windows to ensure that the feedback effect of water quality deterioration can be fully manifested and collected by the monitoring system. The quantification of the decline in water purification efficiency caused by the feedback effect of water quality deterioration can be achieved by comparing the difference or rate of change between the improvement value of key water quality indicators at the time of cleaning completion and the corresponding indicator value after the preset time. For example, the percentage increase or decrease in COD, ammonia nitrogen, or dissolved oxygen content can be calculated and used as the quantification result.

[0053] When determining a specific trend, it is required to confirm that the decline in water purification efficiency increases linearly with the increase of relative offset distance. This specific trend indicates that the spatial distribution characteristics of the water body to be evaluated conform to an adjustable law, that is, as the cleaning location moves away from the water quality self-stabilization zone, the water quality self-healing ability continues to weaken and has a stable linear relationship with distance, providing a clear mathematical and engineering basis for subsequent dynamic adjustment of operation intensity.

[0054] The specific implementation process of step S300 is as follows: When the above-mentioned specific trend is confirmed, firstly, data on the decrease in water purification efficiency at different relative offset distances are extracted, and a curve corresponding to the decrease in distance is constructed; then, the decrease in efficiency that is less than but closest to the preset threshold for the decrease in water purification efficiency is found in the curve, and its corresponding relative offset distance is found; finally, this relative offset distance is set as the reference offset distance. In subsequent sanitation operations, the reference offset distance serves as a key control threshold for dynamically adjusting the intensity of operations. When the real-time measured relative offset distance of the operation point is less than this threshold, the preset operation intensity can be maintained or appropriately increased; when it is greater than this threshold, the operation intensity is reduced accordingly, thereby balancing cleaning efficiency and long-term water quality stability.

[0055] In summary, the basis for this case's investigation lies in the fact that, through long-term water sanitation practice, those skilled in the art have discovered that self-stabilizing zones exist in some enclosed water bodies, and that the self-healing effect of the water body exhibits a clear spatial gradient characteristic when operations are conducted at different distances from these zones. Currently, sanitation workers typically use a uniform, pre-set cleaning intensity to clean the entire water body. While this method can achieve good cleaning results in the short term, it inevitably triggers water quality deterioration feedback. Practice shows that this feedback is acceptable within a certain range, but once it exceeds a threshold, it severely affects the subsequent water quality stability. Furthermore, those skilled in the art have also found that when cleaning operations are close to the self-stabilizing zone, under the same distance and cleaning intensity conditions, the subsequent water quality deterioration feedback is significantly reduced. Therefore, it is proposed that when the relative offset distance from the water quality self-stabilization zone is less than a certain threshold, the intensity of operation can be moderately increased within the acceptable water quality deterioration feedback range to improve cleaning efficiency; while when the relative offset distance is greater than the threshold, the intensity of operation should be appropriately reduced to sacrifice some efficiency in exchange for the long-term cleanliness of the water body, thereby achieving the optimal balance between cleaning efficiency and subsequent water quality stability.

[0056] Furthermore, the intelligent assessment method for sanitation operation quality that integrates multi-source data also includes the following steps:

[0057] In step S400, when the predetermined cleaning device is used to carry out sanitation operations in the future, the relative offset distance between the immediate operation position and the water quality self-stabilizing zone is obtained in real time based on the reference offset distance, and the preset operation intensity is dynamically adjusted according to the difference between the offset distance and the reference offset distance.

[0058] Specifically, Figure 2 A flowchart is shown to dynamically adjust the preset workload intensity.

[0059] The process of using the predetermined cleaning device to carry out sanitation operations includes the following steps: Based on a reference offset distance, the relative offset distance between the current work location and the water quality self-stabilizing zone is obtained in real time. The preset work intensity is then dynamically adjusted according to the difference between the offset distance and the reference offset distance.

[0060] Step S401: During the sanitation operation in the closed water body using a predetermined cleaning device and with a preset operation intensity, the real-time operation position of the predetermined cleaning device is obtained in real time, and its real-time relative offset distance relative to the water quality self-stabilizing zone is calculated.

[0061] Step S402: Quantify the difference between the instantaneous relative offset distance and the reference offset distance to generate a correction factor, and use the correction factor to correct the parameters of the preset work intensity based on the preset work intensity.

[0062] When using the correction factor to correct the parameters of the preset work intensity, a preset correction model is adopted, which is:

[0063] ;

[0064] in, This refers to the revised workload. This refers to the preset workload. This refers to the minimum permissible workload. This refers to the maximum permissible workload. This refers to the instantaneous relative offset distance. This refers to the reference offset distance. This refers to the correction factor, which is the difference between the instantaneous relative offset distance and the reference offset distance. This refers to the correction amplitude control coefficient, and it satisfies...

[0065] In this embodiment of the invention, step S401 is implemented as follows: In a closed water body, when a predetermined cleaning device carries out sanitation cleaning operations according to a preset operational intensity, the system obtains the real-time operational position of the cleaning device through a shipborne or shore-based positioning device. Combining this with the spatial coordinate data of the water quality self-stabilizing zone boundary and the previously established hydrodynamic and water quality coupling model, the system calculates the equivalent water distance between the current operational point and the water quality self-stabilizing zone boundary, thereby obtaining the real-time relative offset distance. This calculation process can be automatically completed by an online monitoring system and a geographic information processing module, without requiring manual intervention.

[0066] The specific implementation process of step S402 is as follows: The system compares the instantaneous relative offset distance obtained in step S401 with the predetermined reference offset distance, calculates the difference between the two and normalizes it, and uses the obtained ratio as the basic data for the correction factor. Then, the system calculates the correction factor according to the correction model and multiplies it by the correction factor based on the preset working intensity to obtain the real-time corrected working intensity. The corrected working intensity will be transmitted to the predetermined cleaning device through the control module, so that it can automatically adjust the propulsion power, suction force or agitation depth to achieve dynamic adjustment of the working intensity.

[0067] The advantage of this dynamic adjustment method lies in its ability to balance water cleaning efficiency with subsequent water quality stability: when the cleaning operation is close to the water quality self-stabilizing zone, the intensity of the operation can be increased within an acceptable range to improve efficiency; when the operation is far from the water quality self-stabilizing zone, the intensity of the operation is automatically reduced, thereby reducing disturbance during the cleaning process and lowering the risk of subsequent water quality deterioration. This intelligent adjustment saves manpower and avoids secondary pollution caused by over-cleaning.

[0068] The correction model adopted in this invention is as follows: based on a preset work intensity, the work intensity is corrected by a correction factor, and a dual upper and lower limit is used to ensure that the corrected work intensity will not exceed the maximum allowable work intensity, nor will it fall below the minimum allowable work intensity. The core parameter for calculating the correction factor is the ratio of the difference between the instantaneous relative offset distance and the reference offset distance to the reference offset distance. In addition to this correction method based on the relative offset ratio, other methods such as time-weighted methods or water quality index-weighted methods can also be used. For example, the real-time water quality change rate after cleaning, the improvement rate of key water quality indicators, or the historical work benefit coefficient can be used as the weight or alternative parameter of the correction factor to achieve more multi-dimensional dynamic adjustment.

[0069] The technical solution of the present invention is illustrated below through a specific example: A closed lake in a certain city has an area of ​​2 square kilometers. During a sanitation operation, the system monitoring showed that the range of the water quality self-stabilizing zone was approximately 25% of the lake area, with a reference offset distance set at 200 meters. In a certain cleaning operation, the preset operating intensity M0 of the predetermined cleaning device was 100 (the power value of the predetermined cleaning device), and the minimum allowable operating intensity M... min The maximum workload is 60, M. max The system's setting is 120, with a correction factor K of 0.4. When the real-time relative offset distance is detected to be 300 meters, the system calculates a correction factor of 1 - 0.4 × (300 - 200) ÷ 200 = 0.8. Applying this correction factor to the preset work intensity, the corrected work intensity is 100 × 0.8 = 80, falling between the minimum and maximum intensity. The system instructs the cleaning device to automatically adjust its power to 80. When the cleaning device moves to within 100 meters of the water quality self-stabilizing zone, the correction factor becomes 1 - 0.4 × (100 - 200) ÷ 200 = 1.2, resulting in a corrected work intensity of 100 × 1.2 = 120. However, due to the upper limit of 120, the system maintains the work intensity at its maximum value of 120. This example fully demonstrates that the system can automatically perform bidirectional dynamic adjustment of work intensity based on the real-time work location.

[0070] The invention has significant advantages: First, by identifying the water quality self-stabilizing zone of closed water bodies and analyzing the feedback effect of water quality deterioration, it realizes intelligent adjustment of operation intensity based on spatial differences, solving the problem of secondary water pollution caused by the one-size-fits-all approach to intensity in traditional sanitation operations; Second, the modified model introduces dual upper and lower limits to ensure the safety and controllability of system operation; Third, dynamic adjustment reduces unnecessary energy consumption and improves cleaning efficiency and the level of precision in operations.

[0071] In terms of application prospects, this method is applicable to various closed or semi-closed water bodies, such as urban landscape lakes, artificial wetlands, enclosed water feature systems in industrial parks, and some slow-flowing river sections. It can be widely promoted in smart water management and urban environmental management. It can not only improve the long-term water quality assurance capability of sanitation operations, but also be seamlessly integrated with intelligent equipment such as IoT water quality monitoring and unmanned cleaning boats, providing a sustainable and intelligent technical solution for urban water environment governance.

[0072] Furthermore, Figure 3 An application architecture diagram of the system provided in an embodiment of the present invention is shown.

[0073] In another preferred embodiment of the present invention, a smart assessment system for sanitation operation quality that integrates multi-source data includes:

[0074] The data acquisition module 100 is used to acquire past sanitation operation records of the closed water body to be evaluated and to determine the water quality self-stabilization zone of the closed water body.

[0075] The water quality self-stabilizing zone refers to a local water area in the closed water body that has characteristics such as frequent hydrodynamic exchange, high dissolved oxygen content, or strong natural dilution and self-purification capabilities.

[0076] Furthermore, the intelligent assessment system for sanitation operation quality that integrates multi-source data also includes:

[0077] The data analysis module 200 is used to analyze past sanitation operation records and analyze whether, when a predetermined cleaning device is used to clean a predetermined type of pollutant in a closed water body, under the conditions of a predetermined operation intensity and the same pollutant distribution and concentration, there is a specific trend that, as the relative offset distance of the operation location from the water quality self-stabilizing zone increases, the decrease in water quality purification efficiency due to the feedback effect of water quality deterioration will linearly increase within a predetermined time after cleaning.

[0078] The reference offset distance determination module 300 is used to find the relative offset distance corresponding to the decrease in water quality purification efficiency that is less than and closest to the preset water quality purification efficiency decrease threshold if a specific trend exists, and set it as the reference offset distance.

[0079] The relative offset distance between the work location and the water quality self-stabilizing zone refers to the equivalent water area distance from the current work point to the boundary of the water quality self-stabilizing zone under the coupling field of hydrodynamics and water quality, determined by comprehensive factors such as the hydrodynamic exchange characteristics, water quality gradient distribution, and flow direction and velocity of the water quality self-stabilizing zone. It is used to characterize the degree of spatial deviation between the work location and the water quality self-stabilizing zone in terms of water environment effects.

[0080] Furthermore, the intelligent assessment system for sanitation operation quality that integrates multi-source data also includes:

[0081] The dynamic intensity adjustment module 400 is used to obtain the relative offset distance between the instantaneous operation position and the water quality self-stabilizing zone in real time, based on the reference offset distance, when the predetermined cleaning device is used to carry out sanitation operations, and to dynamically adjust the preset operation intensity according to the difference between the offset distance and the reference offset distance.

[0082] It should be understood that although the steps in the flowcharts of the various embodiments of the present invention are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the various embodiments may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.

[0083] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0084] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0085] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

[0086] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for intelligent assessment of sanitation operation quality by integrating multi-source data, characterized in that, The method includes: Obtain past sanitation operation records of the enclosed water body to be evaluated, and determine the water quality self-stabilizing zone of the enclosed water body; the water quality self-stabilizing zone refers to a local water area in the enclosed water body that has the characteristics of frequent hydrodynamic exchange, high dissolved oxygen content, or strong natural dilution and self-purification capacity; This study analyzes past sanitation operation records to determine whether, when cleaning a closed water body with predetermined pollutant types using pre-defined cleaning equipment, and under conditions of predetermined operation intensity and equal pollutant distribution and concentration, the decrease in water purification efficiency due to water quality deterioration feedback occurs linearly with increasing relative distance from the operation location to the water quality self-stabilizing zone within a predetermined time after cleaning. The relative distance from the operation location to the water quality self-stabilizing zone refers to the equivalent water area distance from the current operation point to the boundary of the water quality self-stabilizing zone under the coupling field of hydrodynamics and water quality, determined by comprehensive factors such as the hydrodynamic exchange characteristics, water quality gradient distribution, and flow direction and velocity of the water quality self-stabilizing zone. This distance characterizes the spatial deviation between the operation location and the water quality self-stabilizing zone in terms of water environment effects. Multiple flow velocity and direction monitoring instruments are deployed. The device, combining hydrodynamic numerical simulation and water quality model, plots the dynamic boundary of the water quality self-stabilizing zone. Then, based on GIS spatial analysis technology, it calculates the equivalent water distance from any work point to this boundary. The predetermined cleaning device has an adjustable work intensity function, and when cleaning pollutants in the water area, it generates physical disturbances such as agitating the water, disturbing the bottom sediment, or disrupting the local water body's stable structure, thereby triggering a water quality deterioration feedback effect after cleaning. The decrease in water quality purification efficiency due to the water quality deterioration feedback effect refers to the quantitative difference or magnitude of the rise or fall of water quality indicators relative to the improvement value at the time of cleaning completion during a preset monitoring period after the cleaning operation is completed, caused by phenomena such as bottom sediment release, pollutant resuspension, or dissolved oxygen consumption due to cleaning disturbance. This is used to characterize the degree of weakening of the water quality purification effect due to water quality deterioration feedback. If a specific trend exists, find the relative offset distance corresponding to the decrease that is less than and closest to the preset threshold for the decrease in water quality purification efficiency, and set it as the reference offset distance. When carrying out sanitation operations using the predetermined cleaning device, the relative offset distance between the immediate operation position and the water quality self-stabilizing zone is obtained in real time based on the reference offset distance, and the preset operation intensity is dynamically adjusted according to the difference between the offset distance and the reference offset distance.

2. The intelligent assessment method for sanitation operation quality based on multi-source data as described in claim 1, characterized in that, When subsequently carrying out sanitation operations using the predetermined cleaning device, the steps of dynamically adjusting the preset operation intensity based on the difference between the real-time operation location and the water quality self-stabilizing zone, using the reference offset distance as a benchmark, include: During the sanitation operation in the enclosed water body using a predetermined cleaning device and with a preset work intensity, the real-time working position of the predetermined cleaning device is obtained, and its real-time relative offset distance relative to the water quality self-stabilizing zone is calculated. The difference between the instantaneous relative offset distance and the reference offset distance is quantified to generate a correction factor, and the preset work intensity is adjusted using the correction factor based on the preset work intensity.

3. The intelligent assessment method for sanitation operation quality integrating multi-source data according to claim 2, characterized in that, When using the correction factor to correct the parameters of the preset work intensity, a preset correction model is adopted, which is: ； in, This refers to the revised workload. This refers to the preset workload. This refers to the minimum permissible workload. This refers to the maximum permissible workload. This refers to the instantaneous relative offset distance. This refers to the reference offset distance. This refers to the correction factor, which is the difference between the instantaneous relative offset distance and the reference offset distance. This refers to the correction amplitude control coefficient, and it satisfies... .

4. A smart assessment system for sanitation operation quality that integrates multi-source data, characterized in that, The system includes: The data acquisition module is used to acquire past sanitation operation records of the closed water body to be evaluated and to determine the water quality self-stabilizing zone of the closed water body; the water quality self-stabilizing zone refers to a local water area in the closed water body that has the characteristics of frequent hydrodynamic exchange, high dissolved oxygen content or strong natural dilution and self-purification capacity; The data analysis module is used to analyze past sanitation operation records to analyze whether, when cleaning a closed water body with a predetermined type of pollutant using a predetermined cleaning device, under the conditions of a predetermined operation intensity and the same pollutant distribution and concentration, the water purification efficiency decreases linearly with increasing relative distance from the operation location to the water quality self-stabilizing zone within a predetermined time after cleaning due to the feedback effect of water quality deterioration. The relative distance from the operation location to the water quality self-stabilizing zone refers to the equivalent water area distance from the current operation point to the boundary of the water quality self-stabilizing zone under the coupling field of hydrodynamics and water quality, determined based on comprehensive factors such as the hydrodynamic exchange characteristics, water quality gradient distribution, and flow direction and velocity of the water quality self-stabilizing zone. This distance characterizes the spatial deviation between the operation location and the water quality self-stabilizing zone in terms of water environment effects. This is achieved by deploying multi-point flow velocity... Using monitoring instruments, combined with hydrodynamic numerical simulation and water quality models, the dynamic boundary of the water quality self-stabilizing zone is plotted. Then, based on GIS spatial analysis technology, the equivalent water distance from any operation point to this boundary is calculated. The predetermined cleaning device has the function of adjustable operation intensity. When cleaning pollutants in the water area, it will generate physical disturbances such as stirring the water, disturbing the bottom sediment, or destroying the local water stability structure, thereby triggering a water quality deterioration feedback effect after cleaning. The decrease in water quality purification efficiency caused by the water quality deterioration feedback effect refers to the quantitative difference or magnitude of the rise or fall of water quality indicators relative to the improvement value when cleaning is completed, caused by phenomena such as bottom sediment release, pollutant resuspension, or dissolved oxygen consumption due to cleaning disturbance during the preset time monitoring process after the cleaning operation is completed. This is used to characterize the degree of weakening of water quality purification effect caused by water quality deterioration feedback. The reference offset distance determination module is used to find the relative offset distance corresponding to the decrease in water quality purification efficiency that is less than and closest to the preset water quality purification efficiency decrease threshold if a specific trend exists, and set it as the reference offset distance. The dynamic intensity adjustment module is used to obtain the relative offset distance between the instantaneous operation position and the water quality self-stabilizing zone in real time, based on the reference offset distance, when the predetermined cleaning device is used to carry out sanitation operations, and to dynamically adjust the preset operation intensity according to the difference between the offset distance and the reference offset distance.

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