Intelligent cleaning monitoring control method and system for secondary water supply tank

Abstract

This invention discloses an intelligent cleaning monitoring and control method and system for secondary water supply tanks. The method includes: calculating the effective decay rate of residual chlorine in the sediment layer at the bottom of the tank by combining the time-series raw data of residual chlorine concentration with measured data of residual chlorine in the influent, water temperature, and turbidity, thus accurately obtaining the consumption rate of residual chlorine by the sediment layer. This indirectly achieves penetrating monitoring of sediment layer thickness and microbial growth risk, thoroughly locking down the core pollution source of the secondary water supply tank, eliminating the interference of environmental factors on the monitoring results, ensuring the accuracy of decay rate calculation under different operating conditions, and improving cleaning efficiency; and completing the time-series risk trend correction through an edge computing module, outputting the final comprehensive water quality pollution risk level, simultaneously predicting the optimal cleaning window period in the future, continuously quantifying and classifying pollution risks, formulating differentiated cleaning strategies, and personalized risk assessment with one calibration per region and one policy per water tank, thereby improving cleaning quality.

Description

Technical Field

[0001] This invention relates to the field of urban water supply safety technology, specifically to an intelligent cleaning monitoring and control method and system for secondary water supply tanks. Background Technology

[0002] Secondary water supply systems are the final link in the urban water supply network, and their operation directly affects the safety and hygiene of residents' drinking water. During long-term operation, due to the slow water flow rate inside the tank, particulate matter carried by the water entering from the municipal pipe network is easily deposited at the bottom of the tank, forming sediment layers of varying thicknesses.

[0003] As operating time increases, the sediment layer gradually thickens. Residual chlorine, a key indicator for maintaining the disinfection effect of the water supply system, has a limited penetration depth in the sediment layer. When the sediment layer is thin, residual chlorine can still diffuse to the bottom and maintain a certain concentration; however, when the sediment layer thickens to a certain extent, a large amount of residual chlorine is consumed during diffusion, causing the residual chlorine concentration in the lower part of the sediment layer to rapidly decrease or even approach zero. In this low or even zero residual chlorine environment, microorganisms easily grow and multiply, leading to water quality deterioration, odor generation, and the risk of microbial contamination, which may seriously affect the drinking water safety of end users.

[0004] Existing methods for cleaning secondary water supply tanks mainly rely on manual cleaning or simple cleaning equipment, resulting in poor cleaning quality and low cleaning efficiency. For tanks with slow sedimentation or good water quality, cleaning is too frequent, leading to increased operation and maintenance costs and resource waste. For tanks with fast sedimentation or poor water quality, the cleaning cycle is too long, posing potential microbial risks and hygiene hazards. Summary of the Invention

[0005] This invention proposes an intelligent cleaning monitoring and control method and system for secondary water supply tanks to solve the technical problems mentioned in the background.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: A method for intelligent cleaning monitoring and control of secondary water supply tanks according to the present invention includes the following steps: S1: Continuously acquire time-series monitoring data of residual chlorine in the bottom sediment layer of the target secondary water supply tank, multi-dimensional water quality parameters in the tank, and related data of upstream water supply network operation, and calculate the comprehensive water pollution risk level and predictive cleaning window period; S2: Based on the comprehensive water pollution risk level and the predictive cleaning window period, identify the graded cleaning and maintenance strategy for the current water tank, defining the cleaning level, operation procedures, maintenance resource scope, and optimal maintenance cleaning cycle. S3: According to the graded cleaning and maintenance strategy, control the water tank to perform water and power outages, safety isolation, and confined space gas detection as part of the pre-cleaning compliance pretreatment. S4: After the pretreatment operation is completed, based on the hierarchical cleaning and maintenance strategy identifier, adjust the intensity of full-area cleaning and disinfection, the sequence of multi-process operations and the baseline operation time in the box, and execute phased cleaning and disinfection operations. S5: After the cleaning and disinfection operation is completed, the entire area inside the tank is rinsed with clean water and the disinfectant residue is verified. After the verification operation is completed, all real-time water quality parameters of the cleaning wastewater are monitored, and the compliant treatment and graded reuse path of the cleaning wastewater is determined based on the real-time water quality parameters. S6: Control the water tank to perform water supply compliance acceptance and cleaning cycle adaptive optimization operations.

[0007] Preferably, the step of continuously acquiring time-series monitoring data of residual chlorine in the bottom sediment layer of the target secondary water supply tank, multi-dimensional water quality parameters inside the tank, and related data of the upstream water supply network operation, and calculating the comprehensive water pollution risk level and predictive cleaning window period, includes: A MEMS miniature residual chlorine sensor, flush with the bottom inner surface of the secondary water supply tank, continuously collects the time-series raw data of residual chlorine concentration below the sediment layer at the bottom of the tank at a preset sampling period. The edge computing module performs filtering and noise reduction and time-series trend fitting on the raw data of residual chlorine concentration. Combined with the measured data of residual chlorine, water temperature and turbidity in the influent, the effective decay rate of residual chlorine in the sediment layer at the bottom of the tank is calculated. The formula for calculating the effective decay rate of residual chlorine in the bottom sediment layer is as follows:

[0008] in, Let t be the effective decay rate of residual chlorine in the sediment layer at the bottom of the tank. This is the preset sampling period for the MEMS miniature residual chlorine sensor. The measured residual chlorine concentration at the water tank inlet at time t. The residual chlorine concentration below the deposition layer, measured by the MEMS sensor at the bottom of the tank at time t. Let t be the measured water temperature inside the tank. This is the universal activation energy constant for residual chlorine decay reactions. This is a universal standard water temperature reference value. The coefficient representing the effect of turbidity on the decay of residual chlorine. The measured turbidity in the water tank at time t. The measured turbidity at the inlet at time t; Based on the calculated effective decay rate of residual chlorine, combined with the preset characteristic interval and risk level correspondence, the residual chlorine risk level value is mapped and sent to the control module. By installing water quality monitoring modules in the water tank, multi-dimensional water quality parameters such as pH value and water age in the water tank are collected simultaneously, and combined with pipeline operation data related to upstream pipeline commissioning years and regional water consumption issued by the cloud platform; The control module performs standardized processing and digital filtering on the collected multidimensional water quality parameters and pipeline operation data, and calculates the real-time effective value and benchmark deviation value of each parameter. Based on the preset correspondence between parameter deviation range and water quality auxiliary risk level, the water quality auxiliary risk level value is mapped to obtain.

[0009] Preferably, the calculation of the comprehensive water pollution risk level and predictive cleaning window period further includes: The control module receives the residual chlorine risk level value and the water quality auxiliary risk level value, and calculates the comprehensive water pollution risk level by combining the risk calibration parameters of the same type of water tank in the same area issued by the cloud platform. The formula for calculating the comprehensive water pollution risk level is as follows:

[0010] in, Based on the comprehensive water pollution risk level, The residual chlorine warning threshold at the bottom of the tank. As the risk baseline, For the first Correction coefficients for auxiliary parameters, For the first The relative deviation value of the auxiliary parameter; After completing the comprehensive risk level calculation, the edge computing module is used to correct the time-series risk trend and output the final comprehensive water pollution risk level, while simultaneously predicting the optimal cleaning window period in the future.

[0011] Preferably, the risk level fusion lookup table is a dynamically iteratively updated two-dimensional weight matrix. The row index of the two-dimensional matrix is ​​a discrete residual chlorine risk level, the column index is a discrete water quality auxiliary risk level, and each element in the matrix is ​​a comprehensive water pollution risk level with weight coefficients. The weighting coefficients are regularly trained and optimized by the cloud platform based on historical monitoring data of water tanks across the entire region and the cleaning and maintenance results through the XGBoost machine learning model, and are simultaneously sent to the control module to complete matrix updates.

[0012] Preferably, the step of assigning a graded cleaning and maintenance strategy identifier to the current water tank based on the comprehensive water pollution risk level and predictive cleaning window period, defining the cleaning level, work procedures, maintenance resource scope, and optimal maintenance cleaning cycle, includes: The cloud-based smart water management platform receives the comprehensive water pollution risk level, predictive cleaning window period, and basic attribute parameters of the water tank uploaded by the control module, and accesses the cleaning and maintenance strategy mapping library pre-stored in the platform, which is trained based on the full life cycle operation and maintenance samples of water tanks in the whole area. The cleaning and maintenance strategy mapping library establishes a correspondence between comprehensive water pollution risk levels, effective tank volume, number of service users, years of service, regional environmental characteristics and cleaning and maintenance strategy identifiers of different numerical ranges, while covering differentiated operation and maintenance scheduling rules for high, medium and low risk tanks. Each graded cleaning and maintenance strategy identifier is associated with a set of process parameter boundaries used to define the operation level, disinfection standards, operation procedures, resource consumption allowable range, and optimal cleaning cycle in the subsequent cleaning and maintenance process; The cloud platform sends the matching results of the current water tank to the control module. The control module binds the retrieved hierarchical cleaning and maintenance strategy identifier to the full life cycle maintenance ledger of the target water tank, and simultaneously generates a local execution control program and a regional multi-water tank cluster maintenance scheduling plan.

[0013] Preferably, the step of controlling the cleaning operation module to adjust the intensity of full-area cleaning and disinfection, the sequence of multi-process operations, and the baseline operation duration based on the hierarchical cleaning and maintenance strategy identifier includes: Using the graded cleaning and maintenance strategy identifier as an index, the pre-stored cleaning and maintenance strategy mapping library is queried to match the corresponding high-pressure flushing intensity setting value, disinfectant dosage concentration setting value, multi-process operation sequence and baseline operation duration setting value; Based on the matched high-pressure flushing intensity setting value, adjust the operating frequency of the high-pressure flushing pump, the spray angle of the high-pressure flushing nozzle, and the full-area travel distance of the cleaning operation module to achieve full-coverage flushing of the inner wall of the water tank, the bottom of the tank, corners, reinforcing ribs, and water level fluctuation areas without dead angles; Based on the matched disinfectant concentration setting value, adjust the operating frequency and dosing time of the precision metering dosing pump to control the disinfectant concentration and disinfection contact time in the tank to meet the specified requirements; Based on the matched multi-process operation sequence and the baseline operation time setting value, the control module is configured to divide the operation nodes into phased operation nodes such as bottom sediment layer stripping, full-area initial rinsing, disinfection soaking, and secondary fine rinsing. The control cleaning module executes phased cleaning and disinfection operations using pre-set process parameters.

[0014] Preferably, the step of controlling the cleaning operation module to adjust the intensity of full-area cleaning and disinfection, the sequence of multi-process operations, and the baseline operation duration within the container based on the hierarchical cleaning and maintenance strategy identifier further includes: During the cleaning and disinfection process, the real-time decrease rate and current value of the turbidity of the flushing water, the real-time increase rate and uniformity of the residual chlorine concentration in the tank, and the real-time value of the residual concentration of the disinfectant are monitored and calculated. If the turbidity decrease rate exceeds the preset decrease rate threshold and the residual chlorine increase rate exceeds the preset increase rate threshold, while the residual concentration of disinfectant meets the safety threshold, then the rinsing intensity and the amount of disinfectant added are reduced, and the process enters the fine rinsing stage. If the turbidity of the effluent is still higher than the preset turbidity qualification threshold or the uniformity of residual chlorine in the tank is lower than the preset threshold when the benchmark operation time setting value is reached, the operation time extension mechanism and the dead area secondary flushing procedure will be activated. If the residual concentration of disinfectant and byproducts exceeds the drinking water safety threshold, the entire area will be automatically replaced with clean water until the residual concentration meets the required standards.

[0015] Preferably, the decision-making process for compliant treatment and graded reuse of cleaning wastewater based on the real-time water quality parameters includes: By installing a multi-parameter water quality monitoring module in the wastewater collection system, the turbidity, conductivity, residual chlorine and disinfectant residue of the cleaning wastewater can be monitored in real time. The control module will compare the real-time water quality parameters it acquires with the pre-stored discharge thresholds and reuse classification thresholds in multiple dimensions. If the real-time water quality parameters meet the threshold for first-level reuse of urban miscellaneous water, the control module determines that the current cleaning wastewater meets the reuse standard, generates a control command, opens the solenoid valve of the reuse pipeline, starts the circulation pump, and transports the wastewater to the multi-stage filtration and disinfection purification device. After treatment to meet the standards, the wastewater is replenished to the urban miscellaneous water system. If the real-time water quality parameters exceed the reuse threshold but meet the urban sewage discharge standards into the pipe network, the control module generates a control command to open the solenoid valve of the drainage pipe network connection and discharge the wastewater into the sewage pipe network. If the real-time water quality parameters exceed the wastewater discharge threshold, the control module generates a control command to open the valve of the emergency wastewater collection device, discharge the wastewater into the dedicated emergency collection device, and simultaneously trigger a water quality exceeding warning, prohibiting direct discharge.

[0016] Preferably, the control of the water tank to perform water supply compliance acceptance and cleaning cycle adaptive optimization operations completes the closed-loop control of the entire life cycle of intelligent cleaning monitoring of the secondary water supply tank, including: The system controls the water tank to complete the replacement of clean water throughout the area and the water storage in the pipeline network, enters the water supply compliance acceptance stage, and starts the online water quality monitoring module at the outlet. By installing a compliant water quality monitoring module group at the water tank outlet, the residual chlorine, turbidity, pH value, total bacterial count, disinfectant and by-product residues of the water are monitored in real time, covering all indicators of drinking water quality. When all water quality indicators of the effluent meet the preset compliance thresholds, a compliance acceptance signal for cleaning completion is generated, the water tank cleaning operation is completed, and the operation and maintenance management ledger of the secondary water supply facility is updated simultaneously. The entire cleaning process data, water quality change data before and after cleaning, and cleaning cycle execution data are uploaded to the cloud-based smart water operation and maintenance management platform to calculate the next optimal cleaning cycle for the water tank. The formula for calculating the next optimal cleaning cycle of the water tank is as follows:

[0017] in, This is the moving average of the effective decay rate of residual chlorine at the bottom of the tank. This represents the average residual chlorine concentration in the influent. This is the comprehensive environmental correction factor.

[0018] A smart cleaning monitoring and control system for secondary water supply tanks includes: MEMS miniature residual chlorine sensor is used to continuously acquire time-series monitoring data of residual chlorine in the bottom sediment layer of the target secondary water supply tank, multi-dimensional water quality parameters in the tank, and related data of the operation of the upstream water supply network; The water quality monitoring module is used to monitor all real-time water quality parameters of the cleaning wastewater. The control module is used to match and define a graded cleaning and maintenance strategy identifier for the current water tank based on the comprehensive water pollution risk level and predictive cleaning window period, specifying the cleaning level, operation procedures, maintenance resource scope, and optimal maintenance cleaning cycle; execute full-area clean water rinsing and disinfectant residue verification within the tank; after the verification is completed, monitor all real-time water quality parameters of the cleaning wastewater and determine the compliant treatment and graded reuse path of the cleaning wastewater based on the real-time water quality parameters; and control the water tank to perform water supply compliance acceptance and adaptive optimization of the cleaning cycle. The cleaning operation module is used to adjust the intensity of cleaning and disinfection of the entire area inside the box, the sequence of multi-process operations and the baseline operation time, and to execute phased cleaning and disinfection operations. The edge computing module is used to calculate the overall water pollution risk level and predictive cleaning window period.

[0019] As can be seen from the above technical solution, the present invention provides an intelligent cleaning monitoring and control method for secondary water supply tanks. Compared with the prior art, the present invention has the following advantages: 1. This invention calculates the effective decay rate of residual chlorine in the bottom sediment layer by combining the original time-series data of residual chlorine concentration with measured data of residual chlorine in the influent, water temperature, and turbidity. This accurately obtains the consumption rate of residual chlorine by the sediment layer, indirectly achieving penetrating monitoring of sediment layer thickness and microbial growth risk. It completely locks the core pollution source of the secondary water supply tank, eliminates the interference of environmental factors on the monitoring results, ensures the accuracy of decay rate calculation under different operating conditions, and improves cleaning efficiency.

[0020] 2. This invention uses an edge computing module to correct the temporal risk trend, outputs the final comprehensive water pollution risk level, and simultaneously predicts the optimal cleaning window period in the future. It also performs continuous quantitative classification of pollution risk, formulates differentiated cleaning strategies, and provides personalized risk assessment with one calibration per region and one policy per water tank, thereby improving cleaning quality.

[0021] 3. This invention uploads the entire cleaning process data, water quality change data before and after cleaning, and cleaning cycle execution data to the cloud-based smart water management platform to calculate the next optimal cleaning cycle for the water tank, thereby achieving dynamic optimization of the cleaning cycle and realizing a shift from passive emergency cleaning to proactive predictive maintenance, thus avoiding the risks of microbial growth and water quality deterioration. Attached Figure Description

[0022] Figure 1 This is a flowchart illustrating an intelligent cleaning monitoring and control method for secondary water supply tanks according to the present invention. Figure 2 This is a system block diagram of an intelligent cleaning monitoring and control system for secondary water supply tanks according to the present invention. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments.

[0024] like Figure 1 As shown in the figure, a method for intelligent cleaning monitoring and control of a secondary water supply tank in this embodiment includes the following steps: S1: Continuously acquire time-series monitoring data of residual chlorine in the bottom sediment layer of the target secondary water supply tank, multi-dimensional water quality parameters in the tank, and related data of upstream water supply network operation, and calculate the comprehensive water pollution risk level and predictive cleaning window period; S2: Based on the comprehensive water pollution risk level and the predictive cleaning window, a graded cleaning and maintenance strategy identifier is used to define the cleaning level, operation procedures, scope of operation and maintenance resources, and optimal operation and maintenance cleaning cycle for the current water tank. S3: According to the graded cleaning and maintenance strategy, control the water tank to perform water and power outages, safety isolation, and confined space gas detection as part of the pre-cleaning compliance pretreatment work. S4: After the pretreatment work is completed, based on the hierarchical cleaning and maintenance strategy identifier, adjust the intensity of full-area cleaning and disinfection, the sequence of multi-process operations and the baseline operation time in the container, and execute phased cleaning and disinfection operations. S5: After the cleaning and disinfection operation is completed, the entire area inside the tank is rinsed with clean water and the disinfectant residue is verified. After the verification operation is completed, all real-time water quality parameters of the cleaning wastewater are monitored, and the compliant treatment and graded reuse path of the cleaning wastewater is determined based on the real-time water quality parameters. S6: Control the water tank to perform water supply compliance acceptance and adaptive optimization of cleaning cycle.

[0025] Furthermore, by continuously acquiring time-series monitoring data of residual chlorine in the bottom sediment layer of the target secondary water supply tank, multi-dimensional water quality parameters within the tank, and related data from the upstream water supply network, the comprehensive water pollution risk level and predictive cleaning window period are calculated, including: A MEMS miniature residual chlorine sensor, flush with the bottom inner surface of the secondary water supply tank, continuously collects the time-series raw data of residual chlorine concentration below the sediment layer at the bottom of the tank at a preset sampling period. In practical applications, taking 28 stainless steel secondary water supply tanks in a certain community as an example, the total number of households served is 4236. Specifically, each of the 28 water tanks is equipped with a MEMS miniature residual chlorine sensor flush with the bottom, with a sampling cycle of 1 hour, to achieve penetrating monitoring of residual chlorine below the sediment layer at the bottom of the tank; each water tank is also equipped with turbidity, water temperature, pH, and water age monitoring instruments, and the water tank inlet is equipped with residual chlorine and turbidity sensors for incoming water. The edge computing module performs filtering and noise reduction and time-series trend fitting on the raw data of residual chlorine concentration. Combined with the measured data of residual chlorine, water temperature and turbidity in the influent, the effective decay rate of residual chlorine in the sediment layer at the bottom of the tank is calculated. Specifically, each building is equipped with one main control unit, and the community computer room is equipped with an edge computing gateway to realize real-time data collection, local real-time computing, automatic execution of cleaning instructions, and can independently complete emergency alarms and basic control in the event of a network outage. The formula for calculating the effective decay rate of residual chlorine in the bottom sediment layer is as follows:

[0026] in, Let t be the effective decay rate of residual chlorine in the sediment layer at the bottom of the tank. This is the preset sampling period for the MEMS miniature residual chlorine sensor. The measured residual chlorine concentration at the water tank inlet at time t. The residual chlorine concentration below the deposition layer, measured by the MEMS sensor at the bottom of the tank at time t. Let t be the measured water temperature inside the tank. This is the universal activation energy constant for residual chlorine decay reactions. This is a universal standard water temperature reference value. The coefficient representing the effect of turbidity on the decay of residual chlorine. The measured turbidity in the water tank at time t. The measured turbidity at the inlet at time t; Based on the calculated effective decay rate of residual chlorine, combined with the preset characteristic interval and risk level correspondence, the residual chlorine risk level value is mapped and sent to the control module. By installing water quality monitoring modules in the water tank, multi-dimensional water quality parameters such as pH value and water age in the water tank are collected simultaneously, and combined with pipeline operation data related to upstream pipeline commissioning years and regional water consumption issued by the cloud platform; Specifically, the system connects to the smart water management platform, deploys a cleaning strategy mapping library and an LSTM time series prediction model trained based on the XGBoost algorithm in the cloud, completes adaptive optimization of the cleaning cycle, and realizes cluster hierarchical management and control of 28 water tanks, automatic generation of full-process compliance ledgers, and predictive maintenance early warning. The control module performs standardized processing and digital filtering on the collected multidimensional water quality parameters and pipeline operation data, and calculates the real-time effective value and benchmark deviation value of each parameter. Based on the preset correspondence between parameter deviation range and water quality auxiliary risk level, the water quality auxiliary risk level value is mapped to obtain.

[0027] Specifically, in the third month after its launch, the system calculated the effective rate of residual chlorine decay in water tank No. 3 in the South Zone. From the conventional Soaring to The MEMS sensor measured that the residual chlorine at the bottom of the tank had been below the warning threshold of 0.05 mg / L for 22 consecutive hours, while the residual chlorine at the outlet of the water tank was still 0.3 mg / L, which met the national standard requirements. The system immediately triggered a high-risk alarm. When the cleaning was scheduled, a 1.2cm thick sediment layer was found at the bottom of the tank after the water tank was opened. If the original fixed cycle is followed, it will be more than two months before the cleaning time. Throughout its entire operation cycle, the system identified six potential risks of hidden sedimentary layer contamination in advance, increasing the pass rate of community water quality spot checks from 95.2% to 100%. Furthermore, the calculation of the comprehensive water pollution risk level and the predictive cleaning window period also includes: The control module receives residual chlorine risk level values ​​and water quality auxiliary risk level values, and calculates the comprehensive water pollution risk level by combining the risk calibration parameters of water tanks of the same type in the same area issued by the cloud platform. The formula for calculating the overall water pollution risk level is as follows:

[0028] in, Based on the comprehensive water pollution risk level, The residual chlorine warning threshold at the bottom of the tank. As the risk baseline, For the first Correction coefficients for auxiliary parameters, For the first The relative deviation value of the auxiliary parameter; After completing the comprehensive risk level calculation, the edge computing module is used to correct the time-series risk trend and output the final comprehensive water pollution risk level, while simultaneously predicting the optimal cleaning window period in the future.

[0029] Specifically, the system divides the 28 water tanks into three levels: 6 high-risk water tanks with a comprehensive risk level of 75-90, matched with a 60-day cleaning cycle; 10 medium-risk water tanks with a comprehensive risk level of 35-60, matched with a 120-day cleaning cycle; and 12 low-risk water tanks with a comprehensive risk level of 10-30, matched with a 180-day cleaning cycle. The total number of cleanings actually performed throughout the year decreased from the originally planned 56 times to 38 times, a reduction of 32.1%. Direct cleaning and maintenance costs decreased from 156,800 yuan to 106,400 yuan, resulting in annual direct cost savings of 50,400 yuan. At the same time, the number of water outages for low-risk water tanks decreased from twice a year to once a year. Residents in the North District who have low-risk water tanks have received zero complaints about water outages, significantly reducing the pressure on property management and maintenance. Furthermore, the risk level fusion query table is a two-dimensional weighted matrix that can be dynamically iterated and updated. The row index of this two-dimensional matrix is ​​the discretized residual chlorine risk level, the column index is the discretized water quality auxiliary risk level, and each element in the matrix is ​​the comprehensive water pollution risk level with weight coefficients. The weighting coefficients are regularly trained and optimized by the cloud platform based on historical monitoring data of water tanks across the entire area and the cleaning and maintenance results through the XGBoost machine learning model, and are simultaneously distributed to the control module to complete matrix updates.

[0030] Furthermore, based on the comprehensive water pollution risk level and predictive cleaning window, a tiered cleaning and maintenance strategy is defined for the current water tank, specifying the cleaning level, work procedures, maintenance resource scope, and optimal maintenance cleaning cycle. This includes: The cloud-based smart water management platform receives the comprehensive water pollution risk level, predictive cleaning window period, and basic attribute parameters of the water tank uploaded by the control module, and accesses the cleaning and maintenance strategy mapping library pre-stored in the platform, which is trained based on the full life cycle operation and maintenance samples of water tanks in the whole area. The cleaning and maintenance strategy mapping library establishes a correspondence between comprehensive water pollution risk levels, effective tank volume, number of service users, years of service, regional environmental characteristics and cleaning and maintenance strategy identifiers of different numerical ranges, while covering differentiated operation and maintenance scheduling rules for high, medium and low risk tanks. Each graded cleaning and maintenance strategy identifier is associated with a set of process parameter boundaries used to define the operation level, disinfection standards, operation procedures, resource consumption allowable range, and optimal cleaning cycle in the subsequent cleaning and maintenance process; The cloud platform sends the matching results of the current water tank to the control module. The control module binds the retrieved hierarchical cleaning and maintenance strategy identifier to the full life cycle maintenance ledger of the target water tank, and simultaneously generates a local execution control program and a regional multi-water tank cluster maintenance scheduling plan.

[0031] Furthermore, based on the hierarchical cleaning and maintenance strategy identifier, the control cleaning operation module adjusts the intensity of full-area cleaning and disinfection within the container, the sequence of multi-process operations, and the baseline operation duration, including: Using the hierarchical cleaning and maintenance strategy identifier as an index, the pre-stored cleaning and maintenance strategy mapping library is queried to obtain the corresponding high-pressure flushing intensity setting value, disinfectant dosing concentration setting value, multi-process operation sequence and baseline operation duration setting value; Based on the matched high-pressure flushing intensity setting value, adjust the operating frequency of the high-pressure flushing pump, the spray angle of the high-pressure flushing nozzle, and the full-area travel distance of the cleaning operation module to achieve full-coverage flushing of the inner wall of the water tank, the bottom of the tank, corners, reinforcing ribs, and water level fluctuation areas without dead angles; Based on the matched disinfectant concentration setting value, adjust the operating frequency and dosing time of the precision metering dosing pump to control the disinfectant concentration and disinfection contact time in the tank to meet the specified requirements; Based on the matched multi-process operation sequence and the baseline operation time setting value, the control module is configured to divide the operation nodes into phased operation nodes such as bottom sediment layer stripping, full-area initial rinsing, disinfection soaking, and secondary fine rinsing. The control cleaning module executes phased cleaning and disinfection operations using pre-set process parameters.

[0032] Furthermore, based on the hierarchical cleaning and maintenance strategy identifier, the control cleaning operation module adjusts the intensity of full-area cleaning and disinfection within the container, the sequence of multi-process operations, and the baseline operation duration, and also includes: During the cleaning and disinfection process, the real-time decrease rate and current value of the turbidity of the flushing water, the real-time increase rate and uniformity of the residual chlorine concentration in the tank, and the real-time value of the residual concentration of the disinfectant are monitored and calculated. If the turbidity decrease rate exceeds the preset decrease rate threshold and the residual chlorine increase rate exceeds the preset increase rate threshold, while the residual concentration of disinfectant meets the safety threshold, then the rinsing intensity and the amount of disinfectant added will be reduced, and the process will enter the fine rinsing stage. If the turbidity of the effluent is still higher than the preset turbidity threshold or the uniformity of residual chlorine in the tank is lower than the preset threshold when the baseline operation time is reached, the operation time extension mechanism and the secondary flushing procedure for dead areas will be activated. If the residual concentration of disinfectant and byproducts exceeds the drinking water safety threshold, the entire area will be automatically replaced with clean water until the residual concentration meets the required standards.

[0033] Furthermore, based on real-time water quality parameters, decisions are made regarding the compliant treatment and tiered reuse pathways for cleaning wastewater, including: By installing a multi-parameter water quality monitoring module in the wastewater collection system, the turbidity, conductivity, residual chlorine and disinfectant residue of the cleaning wastewater can be monitored in real time. The control module will compare the real-time water quality parameters it acquires with the pre-stored discharge thresholds and reuse classification thresholds in multiple dimensions. If the real-time water quality parameters meet the threshold for first-level reuse of urban miscellaneous water, the control module determines that the current cleaning wastewater meets the reuse standard, generates a control command, opens the solenoid valve of the reuse pipeline, starts the circulation pump, and transports the wastewater to the multi-stage filtration and disinfection purification device. After treatment to meet the standards, the wastewater is replenished to the urban miscellaneous water system. If the real-time water quality parameters exceed the reuse threshold but meet the urban sewage discharge standards into the pipe network, the control module generates a control command to open the solenoid valve of the drainage pipe network connection and discharge the wastewater into the sewage pipe network. If the real-time water quality parameters exceed the wastewater discharge threshold, the control module generates a control command to open the valve of the emergency wastewater collection device, discharge the wastewater into the dedicated emergency collection device, and simultaneously trigger a water quality exceeding warning, prohibiting direct discharge.

[0034] Furthermore, the system controls the water tank to perform water supply compliance acceptance and adaptive optimization of the cleaning cycle, thereby completing the closed-loop control of the entire lifecycle of intelligent cleaning monitoring for secondary water supply tanks, including: Once the water tank completes the replacement of clean water throughout the entire area and the water inlet storage in the pipeline network, it enters the water supply compliance acceptance stage and starts the online water quality monitoring module at the outlet. By installing a compliant water quality monitoring module group at the water tank outlet, the residual chlorine, turbidity, pH value, total bacterial count, disinfectant and by-product residues of the water are monitored in real time, covering all indicators of drinking water quality. When all water quality indicators of the effluent meet the preset compliance thresholds, a compliance acceptance signal for cleaning completion is generated, the water tank cleaning operation is completed, and the operation and maintenance management ledger of the secondary water supply facilities is updated simultaneously. The entire cleaning process data, water quality change data before and after cleaning, and cleaning cycle execution data are uploaded to the cloud-based smart water operation and maintenance management platform to calculate the next optimal cleaning cycle for the water tank. The formula for calculating the next optimal cleaning cycle of the water tank is as follows:

[0035] in, This is the moving average of the effective decay rate of residual chlorine at the bottom of the tank. This represents the average residual chlorine concentration in the influent. This is the comprehensive environmental correction factor.

[0036] A smart cleaning monitoring and control system for secondary water supply tanks includes: MEMS miniature residual chlorine sensor is used to continuously acquire time-series monitoring data of residual chlorine in the bottom sediment layer of the target secondary water supply tank, multi-dimensional water quality parameters in the tank, and related data of the operation of the upstream water supply network; The water quality monitoring module is used to monitor all real-time water quality parameters of the cleaning wastewater. The control module is used to match and define the cleaning level, operation procedures, operation and maintenance resource scope, and optimal operation and maintenance cleaning cycle of the current water tank according to the comprehensive water quality pollution risk level and predictive cleaning window period; to perform full-area clean water rinsing and disinfectant residue verification within the tank; after the verification is completed, to monitor all real-time water quality parameters of the cleaning wastewater and to decide on the compliant treatment and graded reuse path of the cleaning wastewater based on the real-time water quality parameters; and to control the water tank to perform water supply compliance acceptance and adaptive optimization of the cleaning cycle. The cleaning operation module is used to adjust the intensity of cleaning and disinfection of the entire area inside the box, the sequence of multi-process operations and the baseline operation time, and to execute phased cleaning and disinfection operations. The edge computing module is used to calculate the overall water pollution risk level and predictive cleaning window period.

[0037] In summary, this invention, by combining the time-series raw data of residual chlorine concentration with measured data of influent residual chlorine, water temperature, and turbidity, calculates the effective decay rate of residual chlorine in the sediment layer at the bottom of the tank, accurately obtaining the consumption rate of residual chlorine by the sediment layer. This indirectly achieves penetrating monitoring of sediment layer thickness and microbial growth risk, thoroughly identifying the core pollution source of the secondary water supply tank, eliminating the interference of environmental factors on the monitoring results, ensuring the accuracy of decay rate calculation under different operating conditions, and improving cleaning efficiency. Furthermore, by using an edge computing module to correct the time-series risk trend, it outputs the final comprehensive water quality pollution risk level, simultaneously predicts the optimal cleaning window period, continuously quantifies and classifies pollution risks, formulates differentiated cleaning strategies, and provides personalized risk assessment with one calibration per region and one policy per water tank, thereby improving cleaning quality.

[0038] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., a solid-state disk (SSD)).

[0039] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0040] The various embodiments in this specification are described in a related manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0041] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A secondary water supply tank intelligent cleaning monitoring control method, characterized in that, Includes the following steps: S1: Continuously acquire time-series monitoring data of residual chlorine in the bottom sediment layer of the target secondary water supply tank, multi-dimensional water quality parameters in the tank, and related data of upstream water supply network operation, and calculate the comprehensive water pollution risk level and predictive cleaning window period; S2: Based on the comprehensive water pollution risk level and the predicted cleaning window period, identify the graded cleaning and maintenance strategy for matching the optimal operation and maintenance cleaning cycle to the current water tank; S3: Control the water tank to perform compliant pre-treatment operations before cleaning according to the graded cleaning and maintenance strategy identifier; S4: Based on the hierarchical cleaning and maintenance strategy identifier, adjust the intensity of full-area cleaning and disinfection, the sequence of multi-process operations and the baseline operation time inside the box, and execute phased cleaning and disinfection operations. S5: Perform full-area clean water rinsing and disinfectant residue verification within the tank, monitor all real-time water quality parameters of the cleaning wastewater, and determine the compliant treatment and graded reuse path of the cleaning wastewater based on the real-time water quality parameters. S6: Control the water tank to perform water supply compliance acceptance and cleaning cycle adaptive optimization operations. 2.The intelligent cleaning monitoring and control method of a secondary water supply tank according to claim 1, characterized in that: The continuous acquisition of residual chlorine time-series monitoring data of the bottom sediment layer of the target secondary water supply tank, multi-dimensional water quality parameters inside the tank, and upstream water supply network operation correlation data are used to calculate the comprehensive water pollution risk level and predictive cleaning window period, including: A MEMS miniature residual chlorine sensor, flush with the bottom inner surface of the secondary water supply tank, continuously collects the time-series raw data of residual chlorine concentration below the sediment layer at the bottom of the tank at a preset sampling period. The edge computing module performs filtering and noise reduction and time-series trend fitting on the raw data of residual chlorine concentration. Combined with the measured data of residual chlorine, water temperature and turbidity in the influent, the effective decay rate of residual chlorine in the sediment layer at the bottom of the tank is calculated. The formula for calculating the effective decay rate of residual chlorine in the bottom sediment layer is as follows: in, Let t be the effective decay rate of residual chlorine in the sediment layer at the bottom of the tank. This is the preset sampling period for the MEMS miniature residual chlorine sensor. The measured residual chlorine concentration at the water tank inlet at time t. The residual chlorine concentration below the deposition layer, measured by the MEMS sensor at the bottom of the tank at time t. Let t be the measured water temperature inside the tank. This is the universal activation energy constant for residual chlorine decay reactions. This is a universal standard water temperature reference value. The coefficient representing the effect of turbidity on the decay of residual chlorine. The measured turbidity in the water tank at time t. The measured turbidity at the inlet at time t; Based on the calculated effective decay rate of residual chlorine, combined with the preset characteristic interval and risk level correspondence, the residual chlorine risk level value is mapped and sent to the control module. By installing water quality monitoring modules in the water tank, multi-dimensional water quality parameters such as pH value and water age in the water tank are collected simultaneously, and combined with pipeline operation data related to upstream pipeline commissioning years and regional water consumption issued by the cloud platform; The control module performs standardized processing and digital filtering on the collected multidimensional water quality parameters and pipeline operation data, and calculates the real-time effective value and benchmark deviation value of each parameter. Based on the preset correspondence between parameter deviation range and water quality auxiliary risk level, the water quality auxiliary risk level value is mapped to obtain.

3. The intelligent cleaning monitoring and control method for a secondary water supply tank according to claim 2, characterized in that: The calculation of the comprehensive water pollution risk level and predictive cleaning window period also includes: The control module receives the residual chlorine risk level value and the water quality auxiliary risk level value, and calculates the comprehensive water pollution risk level by combining the risk calibration parameters of the same type of water tank in the same area issued by the cloud platform. The formula for calculating the comprehensive water pollution risk level is as follows: in, Based on the comprehensive water pollution risk level, The residual chlorine warning threshold at the bottom of the tank. As the risk baseline, For the first Correction coefficients for auxiliary parameters, For the first The relative deviation value of the auxiliary parameter; After completing the comprehensive risk level calculation, the edge computing module is used to correct the time-series risk trend and output the final comprehensive water pollution risk level, while simultaneously predicting the optimal cleaning window period in the future.

4. The intelligent cleaning monitoring and control method for a secondary water supply tank according to claim 3, characterized in that: The risk level fusion query table is a two-dimensional weighted matrix that can be dynamically iterated and updated. The row index of the two-dimensional matrix is ​​the discretized residual chlorine risk level, the column index is the discretized water quality auxiliary risk level, and each element in the matrix is ​​the comprehensive water pollution risk level with weight coefficients. The weighting coefficients are regularly trained and optimized by the cloud platform based on historical monitoring data of water tanks across the entire region and the cleaning and maintenance results through the XGBoost machine learning model, and are simultaneously sent to the control module to complete matrix updates.

5. The intelligent cleaning monitoring and control method for a secondary water supply tank according to claim 4, characterized in that: The hierarchical cleaning and maintenance strategy identifier, which defines the cleaning level, operation procedures, maintenance resource scope, and optimal maintenance cleaning cycle for the current water tank based on the comprehensive water quality pollution risk level and predictive cleaning window period, includes: The cloud-based smart water management platform receives the comprehensive water pollution risk level, predictive cleaning window period, and basic attribute parameters of the water tank uploaded by the control module, and accesses the cleaning and maintenance strategy mapping library pre-stored in the platform, which is trained based on the full life cycle operation and maintenance samples of water tanks in the whole area. The cleaning and maintenance strategy mapping library establishes a correspondence between comprehensive water pollution risk levels, effective tank volume, number of service users, years of service, regional environmental characteristics and cleaning and maintenance strategy identifiers of different numerical ranges, while covering differentiated operation and maintenance scheduling rules for high, medium and low risk tanks. Each graded cleaning and maintenance strategy identifier is associated with a set of process parameter boundaries used to define the operation level, disinfection standards, operation procedures, resource consumption allowable range, and optimal cleaning cycle in the subsequent cleaning and maintenance process; The cloud platform sends the matching results of the current water tank to the control module. The control module binds the retrieved hierarchical cleaning and maintenance strategy identifier to the full life cycle maintenance ledger of the target water tank, and simultaneously generates a local execution control program and a regional multi-water tank cluster maintenance scheduling plan.

6. The intelligent cleaning monitoring and control method for a secondary water supply tank according to claim 5, characterized in that: The step of controlling the cleaning operation module to adjust the intensity of full-area cleaning and disinfection, the sequence of multi-process operations, and the baseline operation duration based on the hierarchical cleaning and maintenance strategy identifier includes: Using the graded cleaning and maintenance strategy identifier as an index, the pre-stored cleaning and maintenance strategy mapping library is queried to match the corresponding high-pressure flushing intensity setting value, disinfectant dosage concentration setting value, multi-process operation sequence and baseline operation duration setting value; Based on the matched high-pressure flushing intensity setting value, adjust the operating frequency of the high-pressure flushing pump, the spray angle of the high-pressure flushing nozzle, and the full-area travel distance of the cleaning operation module to achieve full-coverage flushing of the inner wall of the water tank, the bottom of the tank, corners, reinforcing ribs, and water level fluctuation areas without dead angles; Based on the matched disinfectant concentration setting value, adjust the operating frequency and dosing time of the precision metering dosing pump to control the disinfectant concentration and disinfection contact time in the tank to meet the specified requirements; Based on the matched multi-process operation sequence and the baseline operation time setting value, the control module is configured to divide the operation nodes into phased operation nodes such as bottom sediment layer stripping, full-area initial rinsing, disinfection soaking, and secondary fine rinsing. The control cleaning module executes phased cleaning and disinfection operations using pre-set process parameters.

7. The intelligent cleaning monitoring and control method for a secondary water supply tank according to claim 6, characterized in that: The method of controlling the cleaning operation module to adjust the intensity of full-area cleaning and disinfection, the sequence of multi-process operations, and the baseline operation duration based on the hierarchical cleaning and maintenance strategy identifier also includes: During the cleaning and disinfection process, the real-time decrease rate and current value of the turbidity of the flushing water, the real-time increase rate and uniformity of the residual chlorine concentration in the tank, and the real-time value of the residual concentration of the disinfectant are monitored and calculated. If the turbidity decrease rate exceeds the preset decrease rate threshold and the residual chlorine increase rate exceeds the preset increase rate threshold, while the residual concentration of disinfectant meets the safety threshold, then the rinsing intensity and the amount of disinfectant added are reduced, and the process enters the fine rinsing stage. If the turbidity of the effluent is still higher than the preset turbidity qualification threshold or the uniformity of residual chlorine in the tank is lower than the preset threshold when the benchmark operation time setting value is reached, the operation time extension mechanism and the dead area secondary flushing procedure will be activated. If the residual concentration of disinfectant and byproducts exceeds the drinking water safety threshold, the entire area will be automatically replaced with clean water until the residual concentration meets the required standards.

8. The intelligent cleaning monitoring and control method for a secondary water supply tank according to claim 7, characterized in that: The decision-making process for compliant treatment and graded reuse of cleaning wastewater based on the real-time water quality parameters includes: By installing a multi-parameter water quality monitoring module in the wastewater collection system, the turbidity, conductivity, residual chlorine and disinfectant residue of the cleaning wastewater can be monitored in real time. The control module will compare the real-time water quality parameters it acquires with the pre-stored discharge thresholds and reuse classification thresholds in multiple dimensions. If the real-time water quality parameters meet the threshold for first-level reuse of urban miscellaneous water, the control module determines that the current cleaning wastewater meets the reuse standard, generates a control command, opens the solenoid valve of the reuse pipeline, starts the circulation pump, and transports the wastewater to the multi-stage filtration and disinfection purification device. After treatment to meet the standards, the wastewater is replenished to the urban miscellaneous water system. If the real-time water quality parameters exceed the reuse threshold but meet the urban sewage discharge standards into the pipe network, the control module generates a control command to open the solenoid valve of the drainage pipe network connection and discharge the wastewater into the sewage pipe network. If the real-time water quality parameters exceed the wastewater discharge threshold, the control module generates a control command to open the valve of the emergency wastewater collection device, discharge the wastewater into the dedicated emergency collection device, and simultaneously trigger a water quality exceeding warning, prohibiting direct discharge.

9. The intelligent cleaning monitoring and control method for a secondary water supply tank according to claim 8, characterized in that: The system controls the water tank to perform water supply compliance acceptance and adaptive optimization of the cleaning cycle, thereby completing the closed-loop control of the entire lifecycle operation and maintenance of the secondary water supply tank for intelligent cleaning monitoring, including: The system controls the water tank to complete the replacement of clean water throughout the area and the water storage in the pipeline network, enters the water supply compliance acceptance stage, and starts the online water quality monitoring module at the outlet. By installing a compliant water quality monitoring module group at the water tank outlet, the residual chlorine, turbidity, pH value, total bacterial count, disinfectant and by-product residues of the water are monitored in real time, covering all indicators of drinking water quality. When all water quality indicators of the effluent meet the preset compliance thresholds, a compliance acceptance signal for cleaning completion is generated, the water tank cleaning operation is completed, and the operation and maintenance management ledger of the secondary water supply facility is updated simultaneously. The entire cleaning process data, water quality change data before and after cleaning, and cleaning cycle execution data are uploaded to the cloud-based smart water operation and maintenance management platform to calculate the next optimal cleaning cycle for the water tank. The formula for calculating the next optimal cleaning cycle of the water tank is as follows: in, This is the moving average of the effective decay rate of residual chlorine at the bottom of the tank. This represents the average residual chlorine concentration in the influent. This is the comprehensive environmental correction factor.

10. A smart cleaning monitoring and control system for a secondary water supply tank, employing the smart cleaning monitoring and control method for a secondary water supply tank as described in any one of claims 1-9, characterized in that, include: MEMS miniature residual chlorine sensor is used to continuously acquire time-series monitoring data of residual chlorine in the bottom sediment layer of the target secondary water supply tank, multi-dimensional water quality parameters in the tank, and related data of the operation of the upstream water supply network; The water quality monitoring module is used to monitor all real-time water quality parameters of the cleaning wastewater. The control module is used to match and define the cleaning level, operation procedures, operation and maintenance resource scope, and optimal operation and maintenance cleaning cycle of the current water tank according to the comprehensive water quality pollution risk level and predictive cleaning window period; execute the full-area clean water rinsing and disinfectant residue verification operation in the tank; decide on the compliant treatment and graded reuse path of cleaning wastewater based on the real-time water quality parameters; and control the water tank to perform water supply compliance acceptance and adaptive optimization of the cleaning cycle. The cleaning operation module is used to adjust the intensity of cleaning and disinfection of the entire area inside the box, the sequence of multi-process operations and the baseline operation time, and to execute phased cleaning and disinfection operations. The edge computing module is used to calculate the overall water pollution risk level and predictive cleaning window period.

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