A sub-lead control system and intelligent sub-lead device

Abstract

The application discloses a kind of diversion control system and intelligent diversion device, belong to automatic control technical field, to solve the problem of low efficiency of rainwater diversion, quality control is not accurate. Water level and rainwater quality parameters of water storage unit are collected by distributed sensor, and vertical distribution sequence is constructed by anomaly detection and interpolation processing;According to the target quality range, the target depth interval is located, the primary and secondary diversion ports are identified, and the priority sequence is established;The valve of the diversion port is controlled according to the sequence, the quality constraint interval is set based on the ladder structure of multi-stage diversion valve, and the rainwater diversion route is generated;During execution, the rainwater quality parameters of the diversion center unit and the diversion valve are detected in real time, deviation monitoring, dynamic adjustment and response are realized, and the accuracy and efficiency of rainwater diversion are improved.

Description

Technical Field

[0001] The present invention relates to the field of automatic control technology, and more particularly to a branch control system and an intelligent branch control device. Background Art

[0002] With water shortages and pollution becoming increasingly severe, rainwater harvesting and utilization has become an important way to alleviate water pressure. Traditional rainwater storage devices use simple manual or timed control methods, relying on fixed-threshold level gauges to monitor water volume and manual sampling and analysis or online testing of a small number of conventional indicators to determine water quality. However, during rainfall, water volume fluctuates dramatically, and water quality components are complex and variable. Traditional monitoring methods are unable to accurately capture dynamic changes in water volume and quality in real time, nor can they comprehensively detect various pollutants. In the diversion control link, the simple control system consisting of mechanical valves and water pumps lacks the ability to adaptively adjust to the water quality requirements of different usage scenarios, often mixing rainwater of different qualities. This not only makes it impossible to meet the needs of high-quality scenarios, but also causes frequent equipment failures due to long-term complex operating conditions. The shortcomings of existing technologies in monitoring, regulation, and equipment coordination lead to low efficiency in rainwater diversion and utilization. Therefore, to overcome these limitations, the present invention proposes a diversion control system and intelligent diversion device. Summary of the Invention

[0003] In response to the shortcomings of the existing technology, the purpose of the present invention is to provide a diversion control system and an intelligent diversion device to solve the problem of how to improve the efficiency of rainwater diversion and the accuracy of quality control, and to achieve dynamic optimization and effective control of water level changes in water storage units, rainwater quality fluctuations and diversion port characteristics.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A diversion control system includes a perception module, a diversion port decision module, a diversion control module, and an execution feedback module:

[0006] The perception module is used to collect water level heights within the water storage unit and, through a distributed layout, collect rainwater quality parameters within the water storage unit. It performs preliminary anomaly detection and physical consistency testing on the rainwater quality parameters, removes outliers, divides depth nodes, and interpolates and fills the rainwater quality parameters to construct a vertical distribution sequence. It also determines water level changes based on the water level height to update the vertical distribution sequence.

[0007] The split guide opening decision module is configured to receive a target quality range instruction of rainwater split guidance, locate a target depth interval of a water storage unit based on a vertical distribution sequence through interval intersection, identify a primary split guide opening and a secondary split guide opening by determining a positional relationship between an installation position of the split guide opening and the target depth interval, calculate a matching degree, establish a split guide opening priority sequence, and set a split guide opening priority sequence update trigger condition according to a drainable amount of the primary split guide opening and an amount to be drained of the secondary split guide opening.

[0008] The split control module is configured to sequentially control split guide opening valves according to the split guide opening priority sequence to send rainwater of the water storage unit into a split guide hub unit, implement differential control according to a split guide opening type, set a quality constraint interval of each valve according to a target quality range based on a ladder structure characteristic of a multi-stage split valve, and generate a rainwater split route control split valve opening and closing;

[0009] The execution feedback module is configured to perform deviation monitoring and dynamic adjustment and response by detecting rainwater quality parameters of the split guide hub unit and the split valve during execution of the split guide opening priority sequence and the rainwater split route.

[0010] Specifically, the specific steps of establishing the split guide opening priority sequence include:

[0011] The target quality range and the real-time vertical distribution sequence of the rainwater are respectively standardized and mapped;

[0012] Based on the standardized target quality range and the real-time vertical distribution sequence, the vertical distribution sequence of each rainwater quality parameter is respectively interval positioned, and the target depth interval of the water storage unit is positioned through interval intersection;

[0013] For each split guide opening of the water storage unit, the installation depth and the target depth interval are determined for positional relationship, the primary split guide opening and the secondary split guide opening are identified, the matching degree is calculated, and the split guide opening priority sequence is established according to the matching degree;

[0014] The split guide opening priority sequence update trigger condition is set according to the drainable amount of the primary split guide opening and the amount to be drained of the secondary split guide opening, including:

[0015] The drainable proportion threshold and the drain proportion threshold are configured, if the currently executed split guide opening is the primary split guide opening, and the ratio of the actual drain amount to the drainable amount is greater than the drainable proportion threshold, the split guide opening priority sequence is updated;

[0016] If the currently executed split guide opening is not the primary split guide opening, and the ratio of the actual drain amount to the amount to be drained is greater than the drain proportion threshold, the split guide opening priority sequence is updated.

[0017] Specifically, the specific steps of identifying the primary split guide opening and the secondary split guide opening and setting the matching degree of the split guide opening include:

[0018] If the installation depth of the branch port is greater than the upper threshold of the target depth range, it is determined that branching is impossible and the matching degree is set to 0;

[0019] If the installation depth of the branch guide port is less than the lower limit threshold of the target depth range, it is determined to be covered from above and marked as a secondary branch guide port;

[0020] The matching degree of the secondary branch outlet is set according to the ratio of the distance between the installation depth of the secondary branch outlet and the lower limit threshold of the target depth range and the current water level;

[0021] The amount of water to be discharged from the secondary branch outlet is calculated based on the distance between the installation depth of the secondary branch outlet and the lower threshold of the target depth range and the bottom area of ​​the water storage unit;

[0022] If the installation depth of the branch guide port is within the target depth range, it is considered to be fully covered and marked as a primary branch guide port;

[0023] The matching degree of the primary branch guide port is set according to the ratio of the distance between the installation depth of the primary branch guide port and the upper threshold of the target depth interval and the distance length of the current target depth interval;

[0024] The drainable volume of the primary branch outlet is calculated based on the distance between the installation depth of the primary branch outlet and the upper threshold of the target depth range and the bottom area of ​​the water storage unit.

[0025] Specifically, the steps for constructing a vertical distribution sequence include:

[0026] Collect rainwater quality parameters through a water quality sensor array, including rainwater turbidity, rainwater pH value, and rainwater heavy metal ion content;

[0027] According to the depth of the water storage unit where the water quality sensor array is located, the rainwater quality parameters are marked respectively; based on the position marks, a vertical distribution sequence is established for each rainwater quality parameter;

[0028] Perform preliminary anomaly detection on each vertical distribution sequence, calculate the mean and variance of the vertical distribution sequence, set the standard range of the vertical distribution sequence, and eliminate the rainwater quality parameters of the vertical distribution sequence outside the standard range;

[0029] Perform physical consistency testing on the vertical distribution sequence after the initial anomaly detection to identify abnormal points of rainwater quality parameters. Physical consistency testing includes: turbidity gradient consistency testing, pH value stratification consistency testing, and heavy metal ion precipitation consistency testing;

[0030] If the physical consistency detection identifies an abnormal point in the rainwater quality parameter, a rainwater abnormality warning will be issued based on the abnormal point in the rainwater quality parameter, and the abnormal point in the rainwater quality parameter will be eliminated;

[0031] Obtain the water level height of the current water storage unit, divide the depth nodes, classify each vertical distribution sequence according to the depth nodes, and preset the interpolation algorithm to fill in the missing rainwater quality parameter values ​​of the depth nodes in each vertical distribution sequence.

[0032] Specifically, the specific steps of the vertical distribution sequence include:

[0033] Perform change detection on the water level height of the water storage unit and calculate the water level difference between adjacent sampling points. If it is greater than the preset water level change threshold, the water level is determined to be in a changing state. The cumulative water level change height is counted. If it is greater than the water level update threshold, the vertical distribution sequence update process is started. Otherwise, no processing is performed.

[0034] If the water level difference between adjacent sampling points is less than or equal to the preset water level change threshold, the water level is determined to be in a non-changing state, and the update mechanism based on the sedimentation cycle is activated. According to the dynamic sedimentation cycle, the vertical distribution sequence update is automatically triggered, that is:

[0035] Set the initial sedimentation period, take the timestamp of the last time the water level was determined to be in a changing state as the reference moment, calculate the sedimentation time difference between the current moment and the reference moment, if it is less than the preset disturbance time threshold, dynamically adjust the initial sedimentation period according to the ratio of the sedimentation time difference to the preset disturbance time threshold, and generate a dynamic sedimentation period; otherwise, use the initial sedimentation period as the dynamic sedimentation period.

[0036] Specifically, based on the trapezoidal structural characteristics of the multi-stage diverter valve port, the specific steps of setting the quality constraint interval of each stage valve port based on the target quality range include:

[0037] Including the target mass range interval into the mass constraint interval of one of the diverter valve ports of the last-stage diverter valve port group;

[0038] Calculate the remaining range of the rainwater quality parameter after deducting the target quality range from the full quality range, evenly distribute the remaining range to the remaining diversion valve ports of the last stage, and determine the quality constraint interval width of each remaining diversion valve port;

[0039] Starting from the minimum boundary of the full mass range, the mass constraint intervals of the remaining diverter valve ports are determined in sequence according to the width of the mass constraint interval to form a complete set of mass constraint intervals for the last level of diverter valve port group.

[0040] Starting from the last level of diverter valve ports, for each diverter valve port at each level, the boundary values ​​of the quality constraint intervals of all the diverter valve ports corresponding to the next level are collected to determine the quality constraint intervals of the diverter valve ports until the quality constraint intervals of the first level of diverter valve ports are determined, and a quality constraint system corresponding to the multi-level diverter valve port hierarchy is constructed.

[0041] Specifically, the steps of generating a rainwater diversion route to control the opening and closing of the diversion valve include:

[0042] If the current branch port type is a primary branch port, starting from the first-level branch port, the current target quality range is compared with the quality constraint ranges of each level of branch ports one by one:

[0043] If the target quality range is within the quality constraint range of the diversion valve port, the diversion valve port is included in the target diversion route; otherwise, the diversion valve port is skipped and the next level of diversion valve port is determined until all levels of diversion valve ports are traversed to form a rainwater diversion route.

[0044] Send an opening command to the diversion valve port included in the target diversion route, and control the valve port not included in the route to remain closed;

[0045] If the branch outlet priority sequence does not include the primary branch outlet, the current secondary branch outlet discharge volume is obtained as the target discharge volume according to the branch outlet priority sequence;

[0046] According to the depth distribution of the branch outlets of the water storage unit, the drainage branch outlets are selected to transport the rainwater from the water storage unit to the branch central unit, and through the sewage valve outlet, a drainage diversion route is constructed from the water storage unit to the sewage treatment plant.

[0047] Specifically, the steps for deviation monitoring, dynamic adjustment, and response include:

[0048] Through the built-in water quality sensor array and pipeline flow sensor of the diversion center unit, the rainwater quality parameters and actual drainage volume output by the current diversion outlet are collected in real time;

[0049] Obtaining a preset flow threshold in the branch outlet priority sequence, where the flow threshold is determined by the dischargeable volume of the primary branch outlet and the volume to be discharged of the secondary branch outlet;

[0050] The rainwater quality parameters detected by the diversion central unit are compared with the target quality range. If any rainwater quality parameters exceed the target quality range, it is marked as a quality deviation, and a quality deviation warning is issued, triggering the diversion port priority sequence update process; locate and close the diversion valve port of the rainwater diversion route, and discharge the rainwater in the rainwater diversion route through the sewage valve port.

[0051] Specifically, the steps for deviation monitoring, dynamic adjustment and response also include:

[0052] If there is no rainwater quality parameter that exceeds the target quality range, the ratio of the actual discharge volume of the branch outlet to the preset threshold is calculated in real time. If it is greater than the preset to-be-discharged ratio threshold, it is marked as a discharge volume deviation.

[0053] Configure the period adjustment threshold and adaptively adjust the period adjustment threshold according to the drainage deviation to adjust the rainwater quality parameter collection period of the branch center unit;

[0054] During the rainwater diversion route, the multi-stage diversion valves monitor the real-time rainwater quality parameters passing through each valve port at a fixed sampling frequency. When it is detected that the rainwater quality parameters passing through a diversion valve port exceed the set quality constraint range, it is marked as an abnormal diversion valve port and a closing command is sent to close the abnormal diversion valve port.

[0055] Based on the real-time rainwater quality parameters, available diverter valve ports whose quality constraint intervals include the current rainwater quality are screened from the next-level diverter valve ports. The rainwater diversion routes are dynamically adjusted according to the hierarchical relationship of the diverter valve ports and the quality constraint intervals.

[0056] An intelligent diversion device includes a diversion port group, a data acquisition unit, a diversion central unit, a multi-stage diversion valve port and a control decision unit:

[0057] The branch outlet group is divided into primary and secondary branch outlets according to the relationship between the installation depth and the target depth interval. The valve opening and closing are controlled according to the branch outlet priority sequence to transport rainwater to the branch outlet central unit.

[0058] The data acquisition unit collects water level and rainwater quality parameters through a distributed sensor array, and performs anomaly detection, data processing and dynamic updates;

[0059] The diversion center unit collects rainwater quality and drainage volume in real time, identifies quality deviations and drainage volume deviations, adjusts the collection cycle, and monitors the status of the target diversion route;

[0060] The multi-stage diversion valve port sets the quality constraint interval based on the trapezoidal structure, monitors the quality of rainwater in real time, and dynamically adjusts the target diversion route;

[0061] The control decision unit is used to set the diversion port priority, execute the target diversion route and perform deviation adjustment.

[0062] Beneficial effects of the present invention:

[0063] The present invention addresses the problems of low efficiency and inaccurate quality control in traditional rainwater diversion. It adopts a distributed layout to collect water level and rainwater quality parameters, and constructs a dynamically updated vertical distribution sequence through anomaly detection and interpolation processing to provide high-precision data for diversion decision-making. Based on this positioning target depth interval, the primary diversion port and secondary diversion port are identified through the positional relationship between the diversion port and the target interval, the matching degree is calculated and a priority sequence is established. The update conditions are set in combination with the drainage volume to achieve intelligent scheduling of the diversion port. The quality constraint interval is set using a multi-level diversion valve port trapezoidal structure, and an accurate diversion route is generated according to the priority sequence. During execution, quality parameters are detected in real time, and deviations are responded to immediately. By closing abnormal valve ports, reconstructing routes, and other operations, the outflow of poor-quality rainwater is avoided, significantly improving the diversion efficiency and quality control accuracy, and ensuring stable system operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 This is a structural diagram of a pilot control system of the present invention;

[0065] Figure 2 A flow chart for constructing a vertical distribution sequence of rainwater quality in a water storage unit for the present invention;

[0066] Figure 3 A flowchart of the vertical distribution sequence is updated for the present invention;

[0067] Figure 4 A flowchart of the specific steps of generating a priority sequence of sub-ports according to the present invention;

[0068] Figure 5 The present invention is a flow chart of the specific steps of controlling the opening and closing of the diversion valve port for the rainwater diversion route. DETAILED DESCRIPTION

[0069] Example 1

[0070] See also Figure 1 This embodiment introduces a diversion control system, including a perception module, a diversion decision module, a diversion control module, and an execution feedback module:

[0071] The sensing module is used to collect the water level height in the water storage unit in real time. It also uses a distributed water quality sensor array to collect rainwater quality parameters at different depths in the water storage unit, and construct and update the vertical distribution sequence of rainwater quality in the water storage unit.

[0072] In this embodiment, the perception module achieves data acquisition through a multi-level sensor array. Multiple water quality sensor arrays are installed vertically along the inner wall of the water storage unit. Each array contains a turbidity sensor, a pH sensor, and a heavy metal ion sensor, connected to a data collector via waterproof cables. Furthermore, an ultrasonic level sensor is installed on the top of the water storage unit to monitor water level changes in real time. When a sudden change in rainfall or water level is detected, the vertical distribution sequence of rainwater quality within the water storage unit is dynamically updated to ensure that rapid changes in rainwater quality are captured. This provides high-precision, timely data support for the diversion decision module.

[0073] Preferably, the specific steps of constructing and updating the vertical distribution sequence of rainwater quality of the water storage unit include:

[0074] See also Figure 2 , rainwater quality parameters are collected through a water quality sensor array. The rainwater quality parameters include: rainwater turbidity, rainwater pH value, and rainwater heavy metal ion content. The rainwater quality parameters are marked according to the depth of the water storage unit where the water quality sensor array is located; based on the position mark, a vertical distribution sequence is established for each rainwater quality parameter; the discrete water quality parameters are converted into structured data arranged in order by depth, providing a basic framework for subsequent anomaly detection, physical consistency analysis, etc., making the data analyzable in the spatial dimension.

[0075] Sensor failure, data transmission interference, or accidental environmental factors may cause random outliers in the data. If these outliers are not removed, they will significantly affect the accuracy of subsequent model calculations and lead to water quality assessment deviations. Preliminary anomaly detection is performed on each vertical distribution sequence. By calculating the mean and variance of the vertical distribution sequence, a standard range interval is set for the vertical distribution sequence, and the rainwater quality parameters of the vertical distribution sequence outside the standard range interval are removed;

[0076] Initial anomaly detection is based only on statistical laws and cannot identify data that conforms to the statistical range but violates natural physical laws. Physical consistency testing is performed on the vertical distribution sequence after the initial anomaly detection. Physical consistency testing includes: turbidity gradient consistency testing, pH value stratification consistency testing, and heavy metal ion precipitation consistency testing.

[0077] Turbidity gradient consistency testing involves calculating the gradient change trend of rainwater turbidity at adjacent locations in the vertical distribution sequence of rainwater turbidity in order of depth. This is used to identify rainwater turbidity anomalies that are contrary to natural sedimentation patterns, ensuring that the vertical turbidity distribution conforms to the general rule that turbidity increases with depth, thereby preventing data errors from affecting rainwater quality assessment.

[0078] pH stratification consistency testing involves establishing a theoretical stratification model based on the chemical properties of rainwater. This model compares the deviation of the vertical pH distribution sequence of rainwater with the theoretical value to verify whether the rainwater pH value conforms to the chemical balance of the water body, identify outliers in the rainwater pH value, and eliminate outliers caused by sensor errors or data transmission problems. The theoretical stratification model is established by analyzing the variation of pH values ​​with depth in historical rainwater quality parameters and combining it with the principle of rainwater chemical balance.

[0079] Heavy metal ion deposition consistency testing evaluates the consistency of the vertical distribution sequence of heavy metal ion content in rainwater with a theoretical deposition model based on the deposition characteristics of heavy metals in water. This is used to identify concentration anomalies caused by data errors or special pollution events, identify abnormal points of heavy metal ion content in rainwater, and ensure the accuracy of heavy metal pollution assessments. The theoretical deposition model is developed by analyzing the variation of heavy metal ion concentration with depth in historical rainwater quality parameters and combining it with the deposition characteristics of heavy metals in water.

[0080] If the physical consistency test identifies abnormal rainwater quality parameters, including abnormal rainwater turbidity, abnormal rainwater pH value, and abnormal rainwater heavy metal ion content, a rainwater abnormality warning will be issued based on the abnormal rainwater quality parameter to alert staff to potential rainwater quality risks or equipment failures, assist in quickly locating the abnormal area and taking countermeasures, and eliminate the abnormal rainwater quality parameter points;

[0081] The original monitoring depths of various water quality parameters may be inconsistent. Direct analysis will result in inconsistent depth dimensions, making it impossible to compare vertical distributions across parameters. The water level of the current storage unit is obtained, and depth nodes are divided at fixed intervals to determine the depth range of the storage unit. Each vertical distribution sequence is classified by depth node. For parameter values ​​that do not correspond to the depth in the vertical distribution sequence, all vertical distribution sequence parameter data are unified to the same depth node through linear interpolation or neighboring value filling to ensure that all parameters are comparable in the same depth dimension.

[0082] Based on the distribution characteristics of each vertical distribution sequence, an interpolation algorithm is preset to fill in the missing rainwater quality parameter values ​​at the depth nodes in each vertical distribution sequence. For example, for rainwater quality parameters with relatively slow changes, such as rainwater pH value, cubic spline interpolation is used to ensure the continuity and smoothness of the interpolation curve at each node; for rainwater quality parameters with large fluctuations and obvious environmental influences, such as rainwater turbidity, radial basis function interpolation is used to highlight local data characteristics. By setting the interpolation algorithm, the missing rainwater quality parameter values ​​after depth alignment are filled to form a complete vertical distribution sequence;

[0083] See also Figure 3Water level changes due to rainfall replenishment, diversion and drainage, etc., will directly cause water disturbances and change the vertical distribution of water quality. If data is not updated in a timely manner, it will lag behind the actual water quality changes, leading to errors in diversion decisions. Change detection is performed on the water level height of the water storage unit, and the water level difference between adjacent sampling points is calculated. If it is greater than the preset water level change threshold, the water level is determined to be in a changing state. The cumulative water level change is calculated. If it is greater than the water level update threshold, the vertical distribution sequence update process is started. Otherwise, no processing is performed;

[0084] During the period of water level stability, the natural sedimentation process of rainwater makes the water quality distribution gradually stabilize over time. The initial sedimentation rate is fast and the later period tends to be flat. Fixed period updates cannot take into account both monitoring accuracy and efficiency. If the water level difference between adjacent sampling points is less than or equal to the preset water level change threshold, the water level is determined to be in a non-changing state, and the update mechanism based on the sedimentation cycle is activated. According to the dynamic sedimentation cycle, the vertical distribution sequence update is automatically triggered, that is:

[0085] Set the initial sedimentation period, take the timestamp of the last time the water level was determined to be in a changing state as the reference moment, calculate the sedimentation time difference between the current moment and the reference moment, if it is less than the preset disturbance time threshold, dynamically adjust the initial sedimentation period according to the ratio of the sedimentation time difference to the preset disturbance time threshold, and generate a dynamic sedimentation period. If the sedimentation time difference is greater than or equal to the preset disturbance time threshold, use the initial sedimentation period as the dynamic sedimentation period; during the period of stable water level, it not only meets the monitoring needs of the natural sedimentation process of rainwater, but also reduces unnecessary data update operations.

[0086] The diversion outlet decision module receives instructions for the target quality range for rainwater diversion. Through standardized mapping, it eliminates dimensional differences in rainwater quality parameters and locates the target depth range for the storage unit that meets the target quality, thus establishing a benchmark for diversion decisions. Based on the positional relationship between the diversion outlet installation depth and the target depth range, it innovatively divides primary and secondary diversion outlets and sets a matching degree. Diversion capacity is quantified by combining the drainable volume and the volume to be drained. Dynamic update trigger conditions are established for both primary and secondary diversion outlets, ensuring drainage while allowing for strategic adjustments. When the trigger conditions are met, the latest data is acquired in real time, the matching degree is recalculated, and the priority sequence is updated. This optimizes the diversion process as the water quality and water level within the storage unit change dynamically, effectively avoiding waste of diversion resources and quality control issues, significantly improving rainwater diversion efficiency and target achievement.

[0087] See also Figure 4 Preferably, the specific steps of generating the branch port priority sequence include:

[0088] When receiving the target quality range instruction for rainwater diversion, the real-time rainwater quality vertical distribution sequence is obtained. Based on the value range of rainwater quality parameters, the target quality range and the real-time vertical distribution sequence are standardized and mapped to ensure the comparability of parameters of different dimensions. The target quality range includes the target rainwater turbidity range, the target rainwater pH value range, and the target rainwater heavy metal ion content range.

[0089] Based on the standardized target quality range and real-time vertical distribution sequence, the vertical distribution sequence of each rainwater quality parameter is interval-located, and the target depth interval of the water storage unit that meets the target quality range is located through the intersection of the intervals. This provides a clear target range for the subsequent branch outlet matching calculation and priority determination, ensuring that the diverted rainwater meets the quality requirements.

[0090] The positional relationship between the diversion port installation position and the target depth range directly affects whether it can effectively divert rainwater that meets the target quality. For each diversion port of a water storage unit, the positional relationship between its installation depth and the target depth range is determined, and the matching degree of the diversion port is set, that is:

[0091] Multiple branch ports may all have a certain branching capability, but their efficiency and effectiveness vary. If the installation depth of a branch port exceeds the upper threshold of the target depth range, it indicates that the target depth range is below the branch port, and branching is determined to be unavailable. The matching degree of the branch port is set to 0.

[0092] If the branch outlet installation depth is less than the lower limit threshold of the target depth interval, it indicates that the target depth interval is located above the branch outlet. The branch outlet is determined to be covered above and marked as a secondary branch outlet. The matching degree of the secondary branch outlet is set based on the ratio of the distance between the branch outlet installation depth and the lower limit threshold of the target depth interval and the current water level. The discharge volume of the secondary branch outlet is calculated based on the distance between the secondary branch outlet installation depth and the lower limit threshold of the target depth interval and the bottom area of ​​the water storage unit.

[0093] If the branch outlet installation depth is within the target depth range, it is determined to be fully covered and marked as a primary branch outlet. The matching degree of the primary branch outlet is determined based on the ratio of the distance between the primary branch outlet installation depth and the upper threshold of the target depth range to the distance length of the current target depth range. The drainage capacity of the primary branch outlet is calculated based on the distance between the primary branch outlet installation depth and the upper threshold of the target depth range and the bottom area of ​​the water storage unit.

[0094] A priority sequence of outlets is established based on the matching degree between primary outlets and secondary outlets. The activation order of each outlet is clarified, and outlets with high matching degree are used first to improve the efficiency of diversion. This ensures that the rainwater diversion task is completed efficiently while meeting the target rainwater quality requirements. The trigger conditions for updating the outlet priority sequence are set based on the drainable volume of the primary outlet and the volume to be drained of the secondary outlet, namely:

[0095] If the primary outlet continues to drain until its drainage capacity is completely exhausted before re-evaluating the diversion plan, subsequent outlets may fail to meet target rainwater quality requirements due to changes in rainwater quality or insufficient water within the storage unit, affecting the overall diversion effect. Configure a drainable ratio threshold to obtain the outlet currently executing in the diversion priority sequence. If it is a primary outlet, the outlet priority sequence is updated when the ratio of its actual discharge volume to its drainable volume exceeds the drainable ratio threshold. The update ratio threshold controls the critical value of the primary outlet's discharge volume and is set to a constant less than 1. This ensures that the priority sequence update is triggered in advance when the outlet's drainage capacity is not completely exhausted, allowing time for re-evaluation of the diversion plan and preventing subsequent outlets from failing to meet target rainwater quality requirements due to continued drainage.

[0096] If secondary outlets over-drain, it will not only cause water waste, but also affect the effectiveness of subsequent diversion strategies. For example, it will change the distribution of rainwater quality within the water storage unit, making it difficult for other outlets to achieve their target diversion. Configure a threshold for the proportion of water to be discharged. If a non-primary outlet is currently being executed, when the ratio of the actual discharge volume of the non-primary outlet to its pending discharge volume is greater than the threshold for the proportion of water to be discharged, the outlet priority sequence will be updated. The threshold for the proportion of water to be discharged is used to measure whether the discharge volume of the secondary outlet has reached the standard that requires re-evaluation. It is set to a constant greater than 1 to ensure that the non-primary outlet triggers a priority update in a timely manner after completing most of the pending discharge tasks, avoiding excessive discharge that causes water waste or affects the effectiveness of subsequent diversion strategies.

[0097] When the update trigger conditions are met, the current diversion operation is suspended, the real-time rainwater quality vertical distribution sequence and water level data are reacquired, and the above diversion port matching degree calculation and priority sorting process are repeated to generate a new diversion port priority sequence. After the new sequence is generated, instructions are sent to the execution module to start the corresponding diversion ports in the new priority order, realizing dynamic optimization of rainwater diversion and ensuring the achievement of diversion efficiency and target rainwater quality.

[0098] The diversion control module receives a priority sequence of diversion ports and sequentially controls the diversion port valves, directing rainwater from the storage unit to the diversion hub. Differentiated control is implemented based on the diversion port type, generating rainwater diversion routes to control the opening and closing of the diversion valve ports. For primary diversion ports, a multi-stage diversion valve trapezoidal structure is used to set quality constraints for each valve port based on the target quality range. A target diversion route is generated through a level-by-level comparison. Quality is monitored in real time during delivery, and the route is dynamically adjusted to ensure that output meets standards. If only secondary diversion ports are present, the lowest diversion port in the storage unit is selected, and a drainage diversion route to the sewage treatment plant is constructed based on the volume of water to be discharged, eliminating low-quality rainwater. This achieves precise and intelligent rainwater diversion, improving diversion accuracy and resource utilization, and reducing ineffective operations.

[0099] See also Figure 5 Preferably, the specific steps of generating a rainwater diversion route to control the opening and closing of the diversion valve include:

[0100] Receive the branch outlet priority sequence, control the opening and closing valves of the branch outlets according to the branch outlet priority sequence, and sequentially transport the rainwater in the water storage unit to the branch outlet central unit. According to the type of the currently open branch outlet, generate the target diversion route of the primary branch outlet and the drainage diversion route of the secondary branch outlet respectively;

[0101] According to the trapezoidal structural characteristics of the multi-stage diverter valve port, the quality constraint intervals of the diverter valve ports at each level are reset based on the target quality range, namely:

[0102] Prioritize incorporating the target quality range into the quality constraint interval of one of the diverter ports in the final diverter port group. Calculate the remaining range after subtracting the target quality range from the full quality range of the rainwater quality parameter. Distribute the remaining range evenly among the remaining diverter ports in the final stage, and determine the width of the quality constraint interval for each remaining port.

[0103] Starting from the minimum boundary of the full mass range, the mass constraint intervals of the remaining diverter valve ports are determined in sequence according to the width of the mass constraint interval, ensuring that all intervals are continuous and non-overlapping, thereby forming a complete set of mass constraint intervals for the last level of diverter valve port group.

[0104] Starting from the last level of diverter valve port, deduce upward according to the ladder structure hierarchy. For each diverter valve port at each level, collect the boundary values ​​of the quality constraint interval of all the diverter valve ports corresponding to the next level, take the minimum value among the boundary values ​​as the lower limit of the quality constraint interval of the diverter valve port, and the maximum value as the upper limit, so as to determine the quality constraint interval of the diverter valve port.

[0105] This process is repeated until the quality constraint interval of the first-level diverter valve port is determined, and finally a quality constraint system corresponding to the multi-level diverter valve port hierarchy is constructed to ensure that the total rainwater mass covered by the previous-level diverter valve port is equal to the total rainwater mass covered by the next-level diverter valve port.

[0106] If the current diversion port type is a primary diversion port, it indicates that the current rainwater quality meets the target quality range. Starting from the first-level diversion port, the current target quality range is compared with the quality constraint range of each diversion port. If the target quality range is within the quality constraint range of a diversion port at a certain level, the diversion port is included in the target diversion route. If it is not within the quality constraint range of any diversion port, the diversion port is skipped and the next-level diversion port is evaluated. This process continues until all diversion ports at all levels are traversed to form a complete rainwater diversion route.

[0107] An opening instruction is sent to the diversion valve ports included in the target diversion route, and the valve ports not included in the route are controlled to remain closed, so that rainwater that meets the target quality range can be transported along the selected diversion route.

[0108] If the primary outlet is not included in the outlet priority sequence, it indicates that there is no rainwater that meets the target quality requirements in the current water storage unit, and bottom drainage pretreatment is required:

[0109] According to the priority sequence of the branch outlets, the current drainage volume of the secondary branch outlet is obtained as the target drainage volume; according to the depth distribution of the branch outlets of the water storage unit, the branch outlet located at the bottom of the water storage unit is selected as the drainage branch outlet, which can discharge the accumulated water that does not meet the quality standards in the bottom layer to the maximum extent.

[0110] Based on the selected drainage diversion outlet, rainwater from the water storage unit is transported to the diversion hub unit, and a drainage diversion route is established from the water storage unit to the sewage treatment plant through the sewage valve. The sewage valve is used to intercept or open the discharge path of low-quality bottom-level rainwater. Its opening and closing status is independent of the diversion valve and is activated only during drainage diversion tasks. By receiving instructions from the control system, it precisely controls the discharge process of bottom-level rainwater to the sewage treatment plant, avoiding sewage leaks caused by accidental opening during non-drainage periods, and preventing interference with the delivery path of target-quality rainwater during normal diversion.

[0111] The execution feedback module monitors deviations between the diversion port priority sequence and the execution process of the rainwater diversion route, dynamically adjusting and responding to them. Based on the diversion port priority sequence, it monitors the rainwater quality parameters output by the currently executing diversion port to the diversion hub in real time. Based on the degree of quality fluctuation and the rate of water level change, it dynamically adjusts the rainwater quality monitoring cycle to improve quality monitoring accuracy and response speed. When the diversion hub detects that rainwater quality meets the preset trigger conditions, it immediately triggers diversion valve port quality testing. Based on the test results, it precisely controls the opening and closing status of corresponding valves in the multi-stage diversion valve port network, ensuring that rainwater that meets the target quality is delivered to the corresponding user terminals, achieving quality-graded utilization. It continuously monitors the connectivity and operational status of established rainwater diversion routes, detecting pipeline pressure, flow anomalies, and valve failures in real time. When a diversion route is detected to be disconnected or performance degraded, a correction mechanism is immediately triggered to ensure the stability and reliability of the entire rainwater diversion process.

[0112] Preferably, the specific steps of performing deviation monitoring, dynamic adjustment and response include:

[0113] Through the built-in water quality sensor array and pipeline flow sensor of the branch outlet central unit, the rainwater quality parameters and actual drainage volume output by the current branch outlet are collected in real time, and the preset flow threshold in the branch outlet priority sequence is obtained simultaneously. The flow threshold is determined by the drainable volume of the primary branch outlet and the volume to be drained of the secondary branch outlet; ensuring that the system can grasp the rainwater quality parameters and drainage volume information in real time, providing accurate data support for deviation monitoring, so that the system can quickly and accurately identify quality deviations and drainage volume deviations, and avoid misjudgment or processing delays caused by data lag or inaccuracy.

[0114] Whether the rainwater quality meets the target quality range is directly related to whether the diversion system can achieve the expected goals. If the quality does not meet the standards, continued transportation may have a negative impact on subsequent processing links or user terminals. The rainwater quality parameters detected by the diversion central unit are compared with the target quality range. If there are rainwater quality parameters that exceed the target quality range, it is marked as a quality deviation, and a quality deviation warning is issued, triggering the diversion port priority sequence update process; immediately locate and close the diversion valve port of the rainwater diversion route, and discharge the rainwater in the rainwater diversion route through the sewage valve port to prevent low-quality rainwater from continuing to be transported to the target route. A rapid response to quality anomalies is achieved, significantly reducing the probability of low-quality rainwater entering subsequent links, ensuring the quality of rainwater output from the rainwater diversion route, and at the same time, by adjusting the diversion port priority, improving the system's adaptability in the case of quality deviation, and maintaining the system's effective operation as much as possible.

[0115] Otherwise, the ratio of the actual drainage volume at the branch outlet to a preset threshold is calculated in real time. If it exceeds the preset pending drainage ratio threshold, it is marked as a drainage deviation. A periodic adjustment threshold is configured and adaptively adjusted based on the drainage deviation to adjust the rainwater quality parameter collection cycle of the branch outlet central unit and increase the sampling frequency. This effectively prevents system failures or efficiency losses caused by abnormal drainage volume. By dynamically adjusting the collection frequency, the system's sensitivity to drainage volume fluctuations is enhanced, enabling refined monitoring of the system's operating status and improving system stability and reliability under varying drainage volume conditions.

[0116] During the rainwater diversion process, even if the overall rainwater quality meets the standard, individual diversion valves may still pass substandard rainwater due to local factors. During the diversion process, the multi-stage diversion valves monitor the real-time rainwater quality parameters passing through each stage at a fixed sampling frequency. When a diversion valve is detected whose quality parameters exceed its set quality constraint range, it is marked as an abnormal diversion valve and a shutdown command is issued to close the abnormal diversion valve, blocking the outflow of substandard rainwater. Based on the real-time rainwater quality parameters, available diversion valves with quality constraint ranges that include the current rainwater quality are selected from the next-level diversion valves. The diversion route is dynamically adjusted according to the ladder-like hierarchical structure and quality constraint ranges to ensure that subsequent rainwater delivery consistently meets the target quality standard. This enables real-time quality control of the diversion process, effectively preventing substandard rainwater from flowing through the diversion route and ensuring stable and reliable rainwater quality at the final output. Dynamic diversion route adjustment enhances the system's anti-interference capabilities, enabling it to quickly adapt to local quality anomalies and ensuring the continuity and effectiveness of the entire diversion process.

[0117] Example 2

[0118] This embodiment introduces an intelligent diversion device, including a diversion port group, a data acquisition unit, a diversion central unit, a multi-stage diversion valve port and a control decision unit;

[0119] The branch outlet group consists of multiple branch outlets at different installation depths, divided into primary and secondary branch outlets based on their positional relationship to the target depth range of the water storage unit. Primary branch outlets are installed within the target depth range to transport rainwater that meets the target quality range; secondary branch outlets are installed at depths below the lower threshold of the target depth range. By calculating the degree of match between each branch outlet and the target depth range, a branch outlet priority sequence is formed. The device controls the opening and closing of the branch outlet valves according to this sequence, orderly transporting rainwater from the water storage unit to the branch outlet hub. The trigger conditions for updating the priority sequence are set based on the available discharge volume of the primary branch outlets and the volume to be discharged from the secondary branch outlets, enabling dynamic optimization of the branch outlet strategy.

[0120] The data acquisition unit utilizes a distributed, multi-layered sensor array for data collection. This includes multiple water quality sensor arrays installed vertically along the inner wall of the water storage unit. Each array integrates a turbidity sensor, a pH sensor, a heavy metal ion sensor, and an ultrasonic level sensor on the top. The water quality sensor array collects rainwater quality parameters at different depths and marks the sensor locations according to their depth, constructing a vertical distribution sequence of rainwater quality. Ultrasonic level sensors monitor water levels in real time. Simultaneously, the data acquisition unit performs preliminary anomaly detection and physical consistency checks on the raw data. It unifies depth nodes using an interpolation and filling algorithm, and dynamically updates the vertical distribution sequence based on water level changes, providing high-precision and timely data support for subsequent decision-making.

[0121] The diversion hub unit, equipped with a built-in water quality sensor array and pipeline flow sensors, collects rainwater quality parameters and actual drainage output from the currently executing diversion outlet in real time, and simultaneously obtains the preset flow thresholds in the diversion outlet priority sequence. The diversion hub compares the detected rainwater quality parameters with the target quality range, identifies quality deviations, and triggers warnings and updates the diversion outlet priority. It determines drainage deviations by calculating the ratio of actual drainage volume to preset thresholds and adaptively adjusts the rainwater quality parameter collection cycle. Furthermore, during the rainwater diversion process, the diversion hub unit continuously monitors the operating status of the diversion route. If an anomaly is detected, it immediately activates the fault response mechanism to ensure stable system operation.

[0122] The multi-level diversion valve port is based on a ladder structure to construct a multi-level diversion valve port network. The quality constraint interval of each valve port is set based on the target quality range. The target quality range is preferentially included in the quality constraint interval of a valve port at the last level. The quality constraint boundaries of each valve port are determined by step-by-step deduction to form a complete quality constraint system corresponding to each level. During the diversion process, the multi-level diversion valve port monitors the real-time rainwater quality parameters passing through the valve ports at each level at a fixed sampling frequency. When it is detected that the rainwater quality passing through a valve port exceeds the set quality constraint interval, the abnormal valve port is immediately closed, and the available valve ports are screened from the next level based on the real-time rainwater quality. The rainwater diversion route is dynamically adjusted to ensure that the transported rainwater always meets the target quality standard, thereby achieving accurate diversion and quality-graded utilization of rainwater.

[0123] The control decision unit receives the target quality range instruction, locates the target depth interval through standardized mapping, divides the primary branch port and secondary branch port and calculates the matching degree, establishes the branch port priority sequence and updates the trigger conditions; controls the branch port valve according to the branch port priority sequence, implements differentiated diversion strategies for different branch port types, monitors the deviation of the branch port priority sequence and the target diversion route execution process throughout the entire process, adjusts the detection cycle, valve port opening and closing status and diversion route in real time, combines fault response with historical data optimization strategy to ensure the intelligent and efficient operation of the device.

[0124] Working principle and its effect:

[0125] The present invention realizes accurate diversion by constructing a vertical distribution sequence of rainwater quality, a dynamic diversion port priority mechanism and a multi-level diversion valve port constraint system: using distributed sensors to collect water level and water quality parameters, a vertical distribution sequence dynamically updated with the water level is constructed through physical consistency detection and interpolation filling, providing real-time and accurate water quality spatial distribution data for diversion decision-making, solving the problem of traditional data lag; based on the sequence, the target depth interval is located, the primary and secondary diversion ports are divided according to the positional relationship between the diversion port installation depth and the target interval, and the matching degree is calculated, and the priority is set in combination with the drainable volume. The new trigger conditions enable the diversion outlet activation strategy to be dynamically optimized as water quality fluctuates, thereby improving diversion efficiency. The diversion outlets are controlled according to the priority sequence, and the target quality range is embedded in the constraint interval of the last-stage valve outlet through a multi-level diversion valve outlet trapezoidal structure. A full-level quality constraint system is constructed layer by layer to generate precise diversion routes. During execution, the water quality of the diversion center and valve outlets is monitored in real time. When the quality exceeds the standard, the abnormal valve outlet is closed and the route is reconstructed. Simultaneously, the detection cycle is adaptively adjusted according to the discharge volume deviation to achieve closed-loop control of the diversion process, avoid the outflow of inferior rainwater, and ensure the stable operation of the system under water quality fluctuations.

[0126] This invention achieves precise and intelligent rainwater diversion by constructing a vertical distribution sequence of rainwater quality, a dynamic update mechanism for diversion outlet priorities, a multi-level diversion valve quality constraint system, and full-process deviation monitoring. Distributed sensors collect water level and rainwater quality parameters at different depths. Preliminary anomaly detection and physical consistency testing are used to eliminate outliers. A vertical distribution sequence is constructed using depth node partitioning and interpolation, and dynamically updated based on water level changes, providing high-precision data support for diversion decision-making. The target depth interval is located based on the vertical distribution sequence. Primary and secondary diversion outlets are identified by analyzing their positional relationship with the target interval. Matching is calculated and a priority sequence is established. Update trigger conditions are set based on the available and undischarged volume, enabling efficient and orderly activation of diversion outlets. A multi-level diversion valve trapezoidal structure is used to set quality constraint intervals. A layer-by-layer comparison generates target diversion routes, ensuring directional delivery of rainwater that meets target quality. Simultaneously, rainwater quality at the diversion hub and diversion valves is monitored in real time. Quality and discharge volume deviations are detected and route reconstruction is initiated, reducing the outflow of poor-quality rainwater and ensuring output water quality. Finally, the vertical distribution sequence is dynamically updated according to water level changes, and the detection cycle is adaptively adjusted in combination with the discharge deviation to improve the system's response speed and stability to environmental changes.

[0127] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiment. All technical solutions based on the concept of the present invention are within the scope of protection of the present invention. It should be noted that for those skilled in the art, various improvements and modifications that do not depart from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A pilot control system, characterized in that: It includes perception module, diversion decision module, diversion control module and execution feedback module: The sensing module is used to collect the water level height in the water storage unit and collect rainwater quality parameters in the water storage unit through a distributed layout; by performing preliminary anomaly detection and physical consistency detection on the rainwater quality parameters, outliers are eliminated, depth nodes are divided, and the rainwater quality parameters are interpolated and filled to construct a vertical distribution sequence; and the water level change state is determined based on the water level height to update the vertical distribution sequence; The branch outlet decision module is configured to receive a target quality range instruction for rainwater diversion, locate a target depth interval for a water storage unit based on the vertical distribution sequence by using interval intersection, identify primary branch outlets and secondary branch outlets by determining a positional relationship between a branch outlet installation position and the target depth interval, calculate a matching degree, establish a branch outlet priority sequence, and set a trigger condition for updating the branch outlet priority sequence based on the drainable volume of the primary branch outlet and the to-be-drained volume of the secondary branch outlet; The diversion control module is used to control the diversion valves in sequence according to the diversion priority sequence, send rainwater from the water storage unit to the diversion central unit, implement differentiated control according to the diversion type, and based on the trapezoidal structure characteristics of the multi-level diversion valve port, set the quality constraint interval of each valve port based on the target quality range, generate the rainwater diversion route and control the opening and closing of the diversion valve port; The execution feedback module is used to monitor deviations, dynamically adjust and respond by detecting rainwater quality parameters of the diversion central unit and the diversion valve port during the execution of the diversion port priority sequence and the rainwater diversion route.

2. A control system according to claim 1, characterized in that: The specific steps of establishing the priority sequence of the branch ports include: Standardize and map the target quality range of rainwater to the real-time vertical distribution sequence; Based on the standardized target quality range and the real-time vertical distribution sequence, the vertical distribution sequence of each rainwater quality parameter is interval-located, and the target depth interval of the water storage unit is located by the interval intersection; For each water storage unit's branch outlet, obtain its installation depth and target depth interval to determine the positional relationship, identify the primary branch outlet and the secondary branch outlet, calculate the matching degree, and establish the branch outlet priority sequence based on the matching degree; According to the drainable volume of the primary branch outlet and the volume to be drained of the secondary branch outlet, the trigger conditions for updating the branch outlet priority sequence are set, including: Configure the drainable ratio threshold and the drain ratio threshold. If the currently executed branch outlet is a primary branch outlet, the branch outlet priority sequence will be updated when the ratio of the actual drainage volume to the drainable volume is greater than the drainable ratio threshold. If the currently executed branch outlet is a non-primary branch outlet, when the ratio of the actual discharge volume to the to-be-discharged volume is greater than the to-be-discharged ratio threshold, the branch outlet priority sequence is triggered to be updated.

3. A separate control system according to claim 2, characterized in that: The specific steps of identifying the primary branch-conducting port and the secondary branch-conducting port and setting the matching degree of the branch-conducting port include: If the installation depth of the branch port is greater than the upper threshold of the target depth range, it is determined that branching is impossible and the matching degree is set to 0; If the installation depth of the branch guide port is less than the lower limit threshold of the target depth range, it is determined to be covered from above and marked as a secondary branch guide port; The matching degree of the secondary branch outlet is set according to the ratio of the distance between the installation depth of the secondary branch outlet and the lower limit threshold of the target depth range and the current water level; The amount of water to be discharged from the secondary branch outlet is calculated based on the distance between the installation depth of the secondary branch outlet and the lower threshold of the target depth range and the bottom area of ​​the water storage unit; If the installation depth of the branch guide port is within the target depth range, it is considered to be fully covered and marked as a primary branch guide port; The matching degree of the primary branch guide port is set according to the ratio of the distance between the installation depth of the primary branch guide port and the upper threshold of the target depth interval and the distance length of the current target depth interval; The drainable volume of the primary branch outlet is calculated based on the distance between the installation depth of the primary branch outlet and the upper threshold of the target depth range and the bottom area of ​​the water storage unit.

4. A separate control system according to claim 1, characterized in that: The specific steps of constructing the vertical distribution sequence include: Collect rainwater quality parameters through a water quality sensor array, including rainwater turbidity, rainwater pH value, and rainwater heavy metal ion content; According to the depth of the water storage unit where the water quality sensor array is located, the rainwater quality parameters are marked respectively; based on the position marks, a vertical distribution sequence is established for each rainwater quality parameter; Perform preliminary anomaly detection on each vertical distribution sequence, calculate the mean and variance of the vertical distribution sequence, set the standard range of the vertical distribution sequence, and eliminate the rainwater quality parameters of the vertical distribution sequence outside the standard range; Perform physical consistency testing on the vertical distribution sequence after the initial anomaly detection to identify abnormal points of rainwater quality parameters. Physical consistency testing includes: turbidity gradient consistency testing, pH value stratification consistency testing, and heavy metal ion precipitation consistency testing; If the physical consistency detection identifies an abnormal point in the rainwater quality parameter, a rainwater abnormality warning will be issued based on the abnormal point in the rainwater quality parameter, and the abnormal point in the rainwater quality parameter will be eliminated; Obtain the water level height of the current water storage unit, divide the depth nodes, classify each vertical distribution sequence according to the depth nodes, and preset the interpolation algorithm to fill in the missing rainwater quality parameter values ​​of the depth nodes in each vertical distribution sequence.

5. A separate control system according to claim 1, characterized in that: The specific steps of updating the vertical distribution sequence include: Perform change detection on the water level height of the water storage unit and calculate the water level difference between adjacent sampling points. If it is greater than the preset water level change threshold, the water level is determined to be in a changing state. The cumulative water level change height is counted. If it is greater than the water level update threshold, the vertical distribution sequence update process is started. Otherwise, no processing is performed. If the water level difference between adjacent sampling points is less than or equal to the preset water level change threshold, the water level is determined to be in a non-changing state, and the update mechanism based on the sedimentation cycle is activated. According to the dynamic sedimentation cycle, the vertical distribution sequence update is automatically triggered, that is: Set the initial sedimentation period, take the timestamp of the last time the water level was determined to be in a changing state as the reference moment, calculate the sedimentation time difference between the current moment and the reference moment, if it is less than the preset disturbance time threshold, dynamically adjust the initial sedimentation period according to the ratio of the sedimentation time difference to the preset disturbance time threshold, and generate a dynamic sedimentation period; otherwise, use the initial sedimentation period as the dynamic sedimentation period.

6. A separate control system according to claim 1, characterized in that: The specific steps of setting the quality constraint intervals of each level of valve ports based on the trapezoidal structure characteristics of the multi-level diversion valve ports and taking the target quality range as a benchmark include: Including the target mass range interval into the mass constraint interval of one of the diverter valve ports of the last-stage diverter valve port group; Calculate the remaining range of the rainwater quality parameter after deducting the target quality range from the full quality range, evenly distribute the remaining range to the remaining diversion valve ports of the last stage, and determine the quality constraint interval width of each remaining diversion valve port; Starting from the minimum boundary of the full mass range, the mass constraint intervals of the remaining diverter valve ports are determined in sequence according to the width of the mass constraint interval to form a complete set of mass constraint intervals for the last level of diverter valve port group. Starting from the last level of diverter valve ports, for each diverter valve port at each level, the boundary values ​​of the quality constraint intervals of all the diverter valve ports corresponding to the next level are collected to determine the quality constraint intervals of the diverter valve ports until the quality constraint intervals of the first level of diverter valve ports are determined, and a quality constraint system corresponding to the multi-level diverter valve port hierarchy is constructed.

7. A separate control system according to claim 1, characterized in that: The specific steps of generating a rainwater diversion route to control the opening and closing of the diversion valve port include: If the current branch port type is a primary branch port, starting from the first-level branch port, the current target quality range is compared with the quality constraint ranges of each level of branch ports one by one: If the target quality range is within the quality constraint range of the diversion valve port, the diversion valve port is included in the target diversion route; otherwise, the diversion valve port is skipped and the next level of diversion valve port is determined until all levels of diversion valve ports are traversed to form a rainwater diversion route. Send an opening command to the diversion valve port included in the target diversion route, and control the valve port not included in the route to remain closed; If the branch outlet priority sequence does not include the primary branch outlet, the current secondary branch outlet discharge volume is obtained as the target discharge volume according to the branch outlet priority sequence; According to the depth distribution of the branch outlets of the water storage unit, the drainage branch outlets are selected to transport the rainwater from the water storage unit to the branch central unit, and through the sewage valve outlet, a drainage diversion route is constructed from the water storage unit to the sewage treatment plant.

8. The control system according to claim 1, characterized in that: The specific steps of deviation monitoring, dynamic adjustment and response include: Through the built-in water quality sensor array and pipeline flow sensor of the diversion center unit, the rainwater quality parameters and actual drainage volume output by the current diversion outlet are collected in real time; Obtaining a preset flow threshold in the branch outlet priority sequence, where the flow threshold is determined by the dischargeable volume of the primary branch outlet and the volume to be discharged of the secondary branch outlet; The rainwater quality parameters detected by the diversion central unit are compared with the target quality range. If any rainwater quality parameters exceed the target quality range, it is marked as a quality deviation, and a quality deviation warning is issued, triggering the diversion port priority sequence update process; locate and close the diversion valve port of the rainwater diversion route, and discharge the rainwater in the rainwater diversion route through the sewage valve port.

9. A separate control system according to claim 8, characterized in that: The specific steps of performing deviation monitoring, dynamic adjustment and response also include: If there is no rainwater quality parameter that exceeds the target quality range, the ratio of the actual discharge volume of the branch outlet to the preset threshold is calculated in real time. If it is greater than the preset to-be-discharged ratio threshold, it is marked as a discharge volume deviation. Configure the period adjustment threshold and adaptively adjust the period adjustment threshold according to the drainage deviation to adjust the rainwater quality parameter collection period of the branch center unit; During the rainwater diversion route, the multi-stage diversion valves monitor the real-time rainwater quality parameters passing through each valve port at a fixed sampling frequency. When it is detected that the rainwater quality parameters passing through a diversion valve port exceed the set quality constraint range, it is marked as an abnormal diversion valve port and a closing command is sent to close the abnormal diversion valve port. Based on the real-time rainwater quality parameters, available diverter valve ports whose quality constraint intervals include the current rainwater quality are screened from the next-level diverter valve ports. The rainwater diversion routes are dynamically adjusted according to the hierarchical relationship of the diverter valve ports and the quality constraint intervals.

10. An intelligent branch control device, which is implemented based on a branch control system according to any one of claims 1 to 9, characterized in that: It includes a branch port group, a data acquisition unit, a branch central unit, a multi-stage diversion valve port and a control decision unit: The branch outlet group is divided into primary and secondary branch outlets according to the relationship between the installation depth and the target depth interval, and the valve opening and closing are controlled according to the branch outlet priority sequence to transport rainwater to the branch outlet central unit; The data acquisition unit collects water level height and rainwater quality parameters through a distributed sensor array, and performs anomaly detection, data processing and dynamic updating; The diversion center unit collects rainwater quality and drainage volume in real time, identifies quality deviation and drainage volume deviation, adjusts the collection cycle, and monitors the status of the target diversion route; The multi-stage diversion valve port sets a quality constraint interval based on a trapezoidal structure, monitors the quality of rainwater passing through in real time, and dynamically adjusts the target diversion route; The control decision unit is used to set the diversion port priority, execute the target diversion route and perform deviation adjustment.

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