Multi-directional intelligent self-weight-vacuum combined dewatering and consolidation system for dredged sludge and control method

Abstract

The application discloses a dredging mud multidirectional intelligent self-weight-vacuum combined drainage consolidation system and a control method, generates a water content-time decay prediction curve through establishing a water content trend prediction model, and dynamically adjusts a stage switching threshold based on a deviation coefficient of an actual decay rate and a predicted decay rate to execute phased adaptive drainage scheduling; in the three-dimensional vacuum stage, an intermittent period is determined according to the coupling criterion of three parameters of a pore water pressure recovery ratio, a drainage plate flow recovery rate and a vacuum degree decay gradient; meanwhile, vacuum resources are automatically allocated based on a multidimensional drainage energy consumption ratio evaluation model, and intelligent diagnosis and adaptive dredging of clogging and dynamic reconstruction of multidirectional pipe network topology are executed. The application realizes adaptive matching of a drainage strategy to soil heterogeneity, and significantly improves drainage efficiency and energy saving effect.

Description

Technical Field

[0001] This invention relates to the field of foundation treatment technology for dredged sludge dump sites, and in particular to a multi-directional intelligent self-weight-vacuum combined drainage consolidation system and control method for dredged sludge. Background Technology

[0002] In the drainage and consolidation treatment of dredged sludge dumps, a phased treatment method combining gravity drainage and vacuum preloading is often used to accelerate soil consolidation. Existing technologies typically divide the drainage stages based on a fixed threshold for the water content. For example, when the water content is higher than a certain preset value, only gravity drainage is used; when it is lower, vacuum assistance is activated. Simultaneously, during the vacuum drainage stage, continuous vacuuming or an intermittent mode with a fixed start-stop cycle is often employed. However, dredged sludge exhibits significant heterogeneity, with vastly different consolidation rates in different areas. Using fixed stage switching thresholds and fixed intermittent cycles makes it difficult to adapt to the dynamic changes in soil drainage status over time and space, easily leading to inaccurate stage switching timing. Vacuum energy cannot function within the most needed time window, resulting in low drainage efficiency and energy waste. Summary of the Invention

[0003] In view of this, the purpose of this invention is to propose a multi-directional intelligent self-weight-vacuum combined drainage consolidation system and control method for dredged mud, which achieves adaptive matching of drainage strategy to soil heterogeneity by dynamically adjusting the stage switching threshold and intermittent period based on real-time drainage data.

[0004] To achieve the aforementioned technical objectives, in the first aspect, the technical solution adopted by the present invention is: a multi-directional intelligent self-weight-vacuum combined drainage consolidation control method for dredged sludge, comprising: Acquire the initial water content and liquid limit data of each drainage management unit, establish a water content trend prediction model based on Terzaghi one-dimensional consolidation theory or hyperbolic exponential decay model, and generate water content-time decay prediction curves. Based on the real-time water content and predicted trend, a phased adaptive drainage scheduling is performed. The phase switching threshold is dynamically adjusted based on the deviation coefficient between the actual attenuation rate and the predicted attenuation rate. This includes entering the pure gravity drainage stage when the water content is higher than the adaptive threshold one, entering the gravity and low-pressure vacuum assisted stage when the water content is between the adaptive threshold one and the adaptive threshold two, and entering the three-dimensional vacuum stage when the water content is lower than the adaptive threshold two. In the three-dimensional vacuum stage, multi-parameter dynamic intermittent vacuum control is performed, and the intermittent period is determined based on the coupling criterion of three parameters: pore water pressure recovery ratio, drainage plate flow recovery rate, and vacuum degree attenuation gradient. Simultaneously execute micro-optimization based on multi-dimensional drainage energy consumption ratio, introduce drainage depth factor, consolidation degree contribution factor and time discount factor to establish a comprehensive drainage energy consumption ratio evaluation model, automatically allocate vacuum resources from inefficient area to efficient area, and automatically reduce the total power of vacuum pump when the global energy consumption ratio continues to decrease. The system performs intelligent diagnosis and adaptive dredging for blockages. When the comprehensive drainage energy consumption ratio of a branch is lower than the global average, it performs dual-criteria diagnosis based on the water content status. After blockage is determined, it triggers vacuum-pressure alternating pulse dredging. Perform dynamic reconfiguration of the multi-directional pipe network topology, adjust the opening of each branch's electrically controlled valves according to the distribution of the comprehensive drainage energy consumption ratio, close inefficient branches and connect high-efficiency branches in series to form a priority drainage channel; Each drainage management unit is equipped with an edge controller, which performs trend prediction and basic scheduling locally. When communication is normal, it reports its status to the central control system and receives global instructions. When communication is interrupted, it operates autonomously based on a preset emergency strategy. Drainage is terminated based on the overall drainage status.

[0005] In some embodiments, initial water cut and liquid limit data of each drainage management unit are obtained, and a water cut trend prediction model is established based on Terzaghi one-dimensional consolidation theory or hyperbolic exponential decay model to generate a water cut-time decay prediction curve, including: After the dredging is completed, the condition monitoring network is activated to obtain the initial moisture content and liquid limit data of each zone and establish a moisture content benchmark. The initial moisture content ratio of each zone is calculated based on the initial moisture content and liquid limit data. The initial moisture content ratio is the ratio of the initial moisture content to the liquid limit, which serves as a reference value for phase switching. The storage yard is divided into several drainage management units according to a planar grid. Each drainage management unit is equipped with an independent monitoring and control channel. The drainage management unit corresponds one-to-one with the moisture content monitoring and vacuum control in the subsequent phased drainage scheduling. Based on Terzaghi's one-dimensional consolidation theory or hyperbolic exponential decay model, the water content-time decay prediction curves of each drainage management unit are established. The prediction curves reflect the theoretical trend of water content decay over time. The water content of each drainage management unit is collected in real time and compared with the predicted curve to obtain actual attenuation data; Calculate the deviation coefficient between the actual attenuation rate and the predicted attenuation rate. The deviation coefficient reflects the degree of deviation between the actual drainage rate and the theoretical trend. When the deviation coefficient is greater than the set positive value, it is determined that the actual attenuation rate is higher than the predicted value. The stage switching threshold is increased to make full use of the drainage efficiency of the current stage and avoid entering the next stage too early. When the deviation coefficient is less than the set negative value, it is determined that the actual attenuation rate is lower than the predicted value. The stage switching threshold is reduced to enter the next stage in advance to prevent the drainage efficiency attenuation period from continuing to operate. The threshold adjustment amount is calculated by weighting the absolute value of the deviation coefficient and the liquid limit correction coefficient. The liquid limit correction coefficient is used to correct the influence of soil properties on the consolidation rate, and the adjusted threshold is sent to the edge controller of each drainage management unit.

[0006] In some embodiments, the stage switching threshold is dynamically adjusted based on the deviation coefficient between the actual attenuation rate and the predicted attenuation rate, including entering the pure gravity drainage stage when the water content is higher than the adaptive threshold one, entering the gravity and low-pressure vacuum assisted stage when the water content is between the adaptive threshold one and the adaptive threshold two, and entering the three-dimensional vacuum stage when the water content is lower than the adaptive threshold two. Real-time data collection of water content in each drainage management unit and comparison with predicted trends are used to obtain the current water content status. The stage switching threshold is dynamically adjusted based on the deviation coefficient between the actual attenuation rate and the predicted attenuation rate, so that the threshold changes adaptively with the soil consolidation rate. When the moisture content is higher than the adaptive threshold, the pure gravity drainage stage is entered. The relationship between the elevation of the external drainage outlet and the elevation of the bottom of the storage yard is checked. Under gravity flow conditions, the bottom gate is opened and all vacuum pumps are closed. The water is discharged by gravity through the bottom drainage layer and the lateral radial pipe. Under conditions where gravity flow is not possible, the bottom low-pressure vacuum is activated, and the vacuum level is gradually increased from the low vacuum level to the target vacuum level. Negative pressure is applied to simulate gravity flow conditions to drive the water out. The target vacuum level is lower than the vacuum level required for conventional vacuum drainage. When the water content is between adaptive threshold one and adaptive threshold two, it enters the self-weight and low-pressure vacuum assisted stage, keeping the bottom drainage channel open, and the water is discharged through the bottom drainage layer. Real-time monitoring of bottom drainage flow rate; when the drainage flow rate is lower than the threshold, it is determined that the efficiency has decreased, and a lateral low-pressure vacuum is activated to assist in the discharge of water in the middle of the soil. The low-pressure vacuum degree is lower than the vacuum degree of the three-dimensional vacuum stage. The top vacuum is kept closed to avoid increasing energy consumption and excessive shallow dehydration caused by introducing a top vacuum. When the moisture content is lower than the adaptive threshold of 2, the three-dimensional vacuum stage is entered. The bottom drainage channel is closed, the self-weight drainage is stopped, and the multi-directional vacuum is started. At the same time, the bottom vacuum, the side vacuum and the top vacuum are activated to form a three-dimensional vacuum field to drain the soil in all directions.

[0007] In some embodiments, multi-parameter dynamic intermittent vacuum control is performed during the three-dimensional vacuum phase, and the intermittent period is determined based on a coupled criterion of three parameters: pore water pressure recovery ratio, drainage plate flow recovery rate, and vacuum degree decay gradient. This includes: During the three-dimensional vacuum stage of operation, negative pressure is applied to drain water, forming a three-dimensional vacuum field to drain the soil in all directions. During the shutdown period, soil pore water pressure data are collected in real time, and the ratio of the current pore water pressure to the initial pore water pressure is calculated as the pore water pressure recovery ratio. During the shutdown period, the flow rate data of the drainage board outlet is collected in real time, and the flow rate change rate per unit time is calculated as the drainage board flow recovery rate. During the shutdown period, the vacuum degree decay gradient is monitored in real time to obtain the decay rate of vacuum degree over time; The intermittent period is determined by a coupled criterion based on three parameters: pore water pressure recovery ratio, drainage board flow recovery rate, and vacuum attenuation gradient. The coupled criterion reflects the sufficiency of water redistribution during the shutdown period. When the pore water pressure recovery ratio is greater than the recovery ratio threshold, the drainage board flow recovery rate is greater than the recovery rate threshold, and the vacuum degree decay gradient is less than the decay gradient threshold, it is determined that the three parameters simultaneously meet the set conditions. During the stop period, the water redistribution is sufficient, the infiltration path is restored, and the negative pressure drainage is restarted. When the pore water pressure recovery ratio is not greater than the recovery ratio threshold, the drainage board flow recovery rate is not greater than the recovery rate threshold, or the vacuum degree attenuation gradient is not less than the attenuation gradient threshold, it is determined that any parameter does not meet the set conditions, and the stop period is extended until all three parameters meet the set conditions simultaneously. Upon startup, the system determines whether the vacuum level has recovered to a set threshold. Once the vacuum level has recovered to the set threshold, the system initiates multi-directional vacuum drainage.

[0008] In some embodiments, a comprehensive drainage energy consumption ratio evaluation model is established by introducing a drainage depth factor, a consolidation degree contribution factor, and a time discount factor. This model automatically allocates vacuum resources from inefficient regions to efficient regions and automatically reduces the total power of the vacuum pump when the global energy consumption ratio continues to decrease. A comprehensive drainage energy consumption ratio evaluation model is established by introducing drainage depth factor, consolidation degree contribution factor and time discount factor. The comprehensive drainage energy consumption ratio is the product of drainage flow rate and drainage depth factor and consolidation degree contribution factor divided by the product of vacuum pump power and time discount factor. Real-time collection of drainage flow rate and corresponding vacuum pump power data for each branch; Real-time calculation of the comprehensive drainage energy consumption ratio of each branch. The comprehensive drainage energy consumption ratio reflects the actual drainage efficiency per unit of energy consumption under the contribution of a specific drainage depth and degree of consolidation. Branches with a comprehensive drainage energy consumption ratio lower than the global average are identified as inefficient areas, and the vacuum resources in inefficient areas are automatically allocated to efficient areas with a comprehensive drainage energy consumption ratio higher than the global average. When the comprehensive drainage energy consumption ratio of a branch is higher than the global average, the branch is judged to have high drainage efficiency, and the vacuum degree of the corresponding branch is increased to make full use of the high-efficiency drainage capacity. Continuously monitor the changing trend of the comprehensive drainage energy consumption ratio of each branch road, and record the time series data of the comprehensive drainage energy consumption ratio of each branch road; When the overall drainage energy consumption ratio of all operating branches shows a continuous downward trend and the duration of the decline exceeds the preset duration, it is determined that the overall drainage of the storage yard is coming to an end. The power reduction is calculated based on the rate of decrease in the overall drainage energy consumption ratio, and the total power of the vacuum pump is automatically reduced to a power level that matches the current drainage demand, thus avoiding ineffective drainage with high energy consumption and low output.

[0009] In some embodiments, intelligent sludge diagnosis and adaptive dredging are performed. When the comprehensive drainage energy consumption ratio of a branch is lower than the global average, a dual-criteria diagnosis is performed based on the water content status. After sludge determination, vacuum-pressure alternating pulse dredging is triggered, including: Real-time calculation of the comprehensive drainage energy consumption ratio of each branch and comparison with the global average to obtain the relative drainage efficiency of each branch; When the comprehensive drainage energy consumption ratio of the branch is lower than the global average, the real-time water content of the corresponding drainage management unit is obtained, and a dual-criteria diagnosis is performed in combination with the water content status. When the real-time moisture content remains unchanged or increases, it is determined that the drainage board is clogged. The clogged drainage channel is blocked, which reduces the drainage efficiency. Trigger the vacuum-pressure alternating pulse unblocking procedure, first shut down the corresponding branch vacuum pump and switch to pressure mode, cut off the vacuum path and establish the pressure path; Apply a reverse air pressure pulse to the drainage plate to loosen the blockage particles around the drainage plate. The direction of the air pressure pulse is opposite to the direction of vacuum suction, and the air pressure thrust is used to destroy the blockage structure. Switch back to vacuum mode to restore vacuum suction and discharge the loosened particles with the water flow. Use vacuum negative pressure to remove the loosened particles from the drain plate. Repeat the alternating cycle of air pressure pulse and vacuum suction, and check the drainage flow recovery rate after each cycle; When the drainage flow recovery rate is greater than the preset recovery threshold and the overall drainage energy consumption ratio rises to a set ratio higher than the global average, the dredging is determined to be completed, the alternating cycle is exited, and the normal vacuum drainage of the corresponding branch is restored. When the real-time moisture content continues to decrease, it is determined that the corresponding area has completed consolidation rather than blockage. The vacuum pump of the corresponding branch is then shut down and the released vacuum pump power is allocated to other branches.

[0010] In some embodiments, each drainage management unit is configured with an edge controller to locally perform trend prediction and basic scheduling. When communication is normal, the unit reports its status to the central control system and receives global instructions. When communication is interrupted, the unit operates autonomously based on a preset emergency strategy, including: Each drainage management unit is equipped with an edge controller, which integrates a water content sensor, a pore water pressure sensor and a flow sensor to achieve real-time local acquisition of multiple parameters. The edge controller performs local trend prediction, calculates the water content decay trend based on the locally stored water content-time decay prediction model, and predicts the timing of stage switching. The edge controller performs threshold judgment locally, determines the current drainage stage based on the comparison between the real-time water content ratio and the adaptive threshold, and issues control commands to the actuator. The edge controller performs emergency switching locally, automatically switching to a safe operating mode when abnormal operating conditions are detected, including vacuum pump failure or sensor failure. The edge controller performs basic intermittent control locally, and performs intermittent vacuum scheduling based on the locally acquired pore water pressure recovery ratio and drainage plate flow recovery rate during the three-dimensional vacuum phase. When communication is normal, the edge controller periodically reports water content, flow rate, comprehensive drainage energy consumption ratio and pore water pressure status data to the central control system, and receives global scheduling instructions and model parameter updates issued by the central control system. When communication is interrupted, the edge controller operates autonomously based on the locally stored predictive model and pre-set emergency strategy to maintain basic drainage functions until communication is restored. The central control system is responsible for aggregating global data, training and updating the prediction model, and distributing the updated model parameters and stage switching thresholds to each edge controller.

[0011] In some embodiments, dynamic reconfiguration of the multi-directional pipe network topology is performed, adjusting the opening degree of each branch's electrically controlled valves according to the overall drainage energy consumption ratio distribution, closing inefficient branches, and connecting high-efficiency branches in series to form a priority drainage channel, including: An electronically controlled valve matrix is ​​configured in each branch, and the electronically controlled valve matrix is ​​controlled by the central control system to realize independent adjustment of the opening degree of each branch and dynamic switching of the connection relationship between branches; The central control system calculates the comprehensive drainage energy consumption ratio of each branch in real time and obtains the real-time drainage efficiency distribution of each branch. The drainage efficiency distribution reflects the contribution of each branch to the overall drainage. The opening degree of each branch's electrically controlled valve is dynamically adjusted according to the distribution of the comprehensive drainage energy consumption ratio. The valve opening degree of the high-efficiency branch is increased to improve the vacuum energy transfer efficiency, and the valve opening degree of the low-efficiency branch is reduced to limit the waste of vacuum energy. Close inefficient branches with a comprehensive drainage energy consumption ratio below a set threshold to prevent vacuum energy from being wasted in ineffective drainage areas and redistribute the released vacuum energy to efficient branches. The efficient branch lines are connected in series to form a priority drainage channel. The priority drainage channel allows vacuum energy to be transferred along the optimal path to the area with the highest drainage efficiency. The series connection order of the priority drainage channels is determined according to the overall drainage energy consumption ratio. The pressure distribution of each node is adjusted by the hydraulic gradient self-optimization algorithm. The hydraulic gradient self-optimization algorithm iteratively calculates the optimal pressure distribution scheme based on the pipeline topology and the resistance characteristics of each branch, so that the pressure of each node matches the resistance of the branch. By concentrating vacuum energy in the area with the highest drainage efficiency, overall drainage efficiency is improved and overall energy consumption is reduced, achieving the optimal global allocation of vacuum resources at the pipeline network level.

[0012] In some embodiments, terminating drainage based on the global drainage status includes: Real-time monitoring of the moisture content of each drainage management unit, obtaining comparison data between the current moisture content and the initial moisture content, and calculating the attenuation ratio of the current moisture content relative to the initial moisture content; Real-time monitoring of drainage flow in each drainage management unit, obtaining comparison data between current drainage flow and initial drainage flow, and calculating the attenuation ratio of current drainage flow relative to initial drainage flow; Drainage is considered complete when the water content of all drainage management units is lower than the set termination threshold and the drainage flow rate is less than the set proportion of the initial drainage flow rate. Once drainage is deemed complete, the central control system issues a termination command to each actuator, gradually stopping the drainage operations of each drainage management unit. Automatically stop all vacuum pumps, and sequentially shut down the bottom vacuum pump group, side vacuum pump group and top vacuum pump group of the variable frequency vacuum pumping system, with the stopping sequence being the reverse of the starting sequence; Close all electrically controlled valves, cut off the vacuum path and gravity drainage path of the multi-directional drainage network, and ensure that the storage yard is sealed to prevent external water from flowing back in. The central control system sends out a processing completion signal, records the final drainage data, and archives the consolidation status information of each drainage management unit. The consolidation status information includes the final water content, final drainage flow rate, and the change curve of the comprehensive drainage energy consumption ratio. Archived data is uploaded to the database of the central control system for long-term storage. Based on historical data, the parameter configuration and scheduling strategy for subsequent yard drainage consolidation are optimized. The parameter configuration includes stage switching thresholds and intermittent period parameters, and the scheduling strategy includes the execution logic of staged drainage scheduling and micro-optimization.

[0013] In a second aspect, the present invention also provides a multi-directional intelligent gravity-vacuum combined drainage and consolidation system for dredged sludge, used to execute the method described in the first aspect. The system includes a multi-directional drainage network, a variable frequency vacuum pumping system, a gravity-fed drainage module, an electrically controlled valve matrix, an energy consumption monitoring module, a status monitoring network, an edge controller, and a central control system. The multi-directional drainage network includes a bottom drainage layer, lateral radial drainage pipes, and a top vacuum covering layer. The multi-directional drainage network is laid in the dredged sludge stockpile to form a three-dimensional drainage channel. The variable frequency vacuum pumping system includes a bottom vacuum pump group, a lateral vacuum pump group, and a top vacuum pump group. Each vacuum pump group is connected to the corresponding drainage layer of the multi-directional drainage network and is used to independently adjust the vacuum degree in each direction according to the phased drainage schedule. The gravity-fed drainage module includes a bottom gate and an external drainage channel. The bottom gate is located between the bottom drainage layer and the external drainage channel and is used to open during the pure gravity drainage stage to achieve zero-energy drainage. The electrically controlled valve matrix is ​​configured in each branch and is used to adjust the overall drainage energy consumption ratio. The system dynamically adjusts the opening degree of each branch and the connectivity between branches. An energy consumption monitoring module connects to each branch to collect real-time drainage flow rate and corresponding vacuum pump power data, and calculates the comprehensive drainage energy consumption ratio of each branch. A status monitoring network is deployed in each drainage management unit, including a water content sensor, pore water pressure sensor, and flow sensor, to collect real-time water content data, pore water pressure data, and drainage board flow data of each drainage management unit. An edge controller is configured in each drainage management unit to perform local trend prediction, threshold judgment, emergency switching, and basic intermittent control, and operates autonomously based on a preset emergency strategy when communication is interrupted. The central control system communicates with the variable frequency vacuum pumping system, the gravity-fed drainage module, the electrically controlled valve matrix, the energy consumption monitoring module, the status monitoring network, and the edge controllers. It performs phased drainage scheduling based on water content data, performs micro-optimization and network topology reconstruction based on the comprehensive drainage energy consumption ratio, and automatically reduces the total power of the vacuum pump when the global energy consumption ratio continues to decrease.

[0014] Compared with existing technologies, the present invention, employing the above technical solution, has the following beneficial effects: The present invention provides a multi-directional intelligent self-weight-vacuum combined drainage consolidation system and control method for dredged sludge. It generates a water content-time decay prediction curve by establishing a water content trend prediction model, and dynamically adjusts the stage switching threshold based on the deviation coefficient between the actual decay rate and the predicted decay rate, executing phased adaptive drainage scheduling. In the three-dimensional vacuum stage, the intermittent period is determined based on the coupling criterion of three parameters: pore water pressure recovery ratio, drainage board flow recovery rate, and vacuum degree decay gradient. Simultaneously, vacuum resources are automatically allocated based on a multi-dimensional drainage energy consumption ratio evaluation model, and intelligent sludge diagnosis, adaptive dredging, and dynamic reconstruction of the multi-directional pipe network topology are performed. The present invention achieves adaptive matching of drainage strategies to soil heterogeneity, significantly improving drainage efficiency and energy-saving effects. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of steps S101 to S108 of the method described in the specific implementation embodiment; Figure 2 This is a schematic diagram of steps S201 to S207 of the method described in the specific implementation embodiment; Figure 3 This is a schematic diagram of steps S301 to S304 of the method described in the specific implementation. Detailed Implementation

[0017] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be particularly noted that the following embodiments are for illustrative purposes only and do not limit the scope of the invention. Similarly, the following embodiments are only some, not all, embodiments of the present invention, and all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Please see Figure 1 In a first aspect, this embodiment provides a multi-directional intelligent self-weight-vacuum combined drainage consolidation control method for dredged sludge, comprising: S101. Obtain the initial water content and liquid limit data of each drainage management unit, establish a water content trend prediction model based on Terzaghi one-dimensional consolidation theory or hyperbolic exponential decay model, and generate a water content-time decay prediction curve. S102. Perform phased adaptive drainage scheduling based on real-time water content and predicted trend. Dynamically adjust the phase switching threshold based on the deviation coefficient between the actual attenuation rate and the predicted attenuation rate. This includes entering the pure gravity drainage phase when the water content is higher than the adaptive threshold one, entering the gravity and low-pressure vacuum assisted phase when the water content is between the adaptive threshold one and the adaptive threshold two, and entering the three-dimensional vacuum phase when the water content is lower than the adaptive threshold two. S103. In the three-dimensional vacuum stage, multi-parameter dynamic intermittent vacuum control is performed, and the intermittent period is determined based on the coupling criterion of three parameters: pore water pressure recovery ratio, drainage plate flow recovery rate and vacuum degree attenuation gradient. S104. Simultaneously execute micro-optimization based on multi-dimensional drainage energy consumption ratio, introduce drainage depth factor, consolidation degree contribution factor and time discount factor to establish a comprehensive drainage energy consumption ratio evaluation model, automatically allocate vacuum resources from inefficient area to efficient area, and automatically reduce the total power of vacuum pump when the global energy consumption ratio continues to decrease. S105. Perform intelligent diagnosis and adaptive dredging for blockage. When the comprehensive drainage energy consumption ratio of the branch is lower than the global average, perform dual-criteria diagnosis based on the water content status. After blockage is determined, trigger vacuum-pressure alternating pulse dredging. S106. Perform dynamic reconfiguration of the multi-directional pipe network topology, adjust the opening of each branch's electrically controlled valves according to the distribution of the comprehensive drainage energy consumption ratio, close inefficient branches and connect high-efficiency branches in series to form a priority drainage channel; S107. Each drainage management unit is equipped with an edge controller to perform local trend prediction and basic scheduling. When communication is normal, it reports its status to the central control system and receives global instructions. When communication is interrupted, it operates autonomously based on a preset emergency strategy. S108. Terminate drainage based on the global drainage status.

[0019] In step S101, the drainage management unit can be divided according to the area of ​​the stockpile, the spacing of the drainage boards, and the branch structure of the vacuum pipeline. Each unit corresponds to an independent sensor and valve channel. The initial moisture content is obtained by a moisture sensor buried at the center of each unit or by sampling and drying. The liquid limit data is calculated based on the geotechnical test report of the backfill slurry or by an empirical formula based on the clay content. Terzaghi's one-dimensional consolidation theory calculates the change of theoretical consolidation degree over time by using the consolidation coefficient and the drainage path length; the hyperbolic exponential decay model uses the previously measured moisture content data to fit the shape parameters of the decay curve. Both can generate a theoretical curve reflecting the decay of moisture content with drainage time. This curve serves as a benchmark for subsequent judgment on whether the actual drainage rate deviates from the expectation.

[0020] In step S102, the phased adaptive drainage scheduling compares the real-time water content data with the predicted curve at the same time point, and calculates the deviation coefficient by the difference or ratio between the actual decay rate and the predicted decay rate. This deviation coefficient is converted into a threshold adjustment amount through a preset mapping function, which can take various forms such as linear proportional, piecewise linear, or nonlinear curves. Adaptive threshold one and adaptive threshold two are two initial values ​​of water content critical values ​​determined by the liquid limit, which are dynamically corrected with the deviation coefficient during the drainage process. The three drainage stages correspond to different drainage power source activation logics: the pure self-weight drainage stage only uses the water level difference inside and outside the stockpile to drive the bottom drainage layer; the self-weight and low-pressure vacuum assisted stage starts the lateral vacuum pump group on the basis of gravity drainage to reduce the pore water pressure of the middle soil; the three-dimensional vacuum stage simultaneously activates the bottom, lateral, and top vacuum pump groups to form a three-dimensional pressure gradient field.

[0021] In step S103, the multi-parameter dynamic intermittent vacuum control determines the restart timing by real-time monitoring the rate of change of soil internal state parameters during the shutdown period. The pore water pressure recovery ratio is collected by pore water pressure sensors buried at different depths around the drainage board, calculating the ratio of the current pore pressure value to the initial pore pressure value; the drainage board flow recovery rate is monitored by an electromagnetic or ultrasonic flow meter installed at the drainage board outlet, calculating the increment of drainage flow per unit time; the vacuum degree decay gradient is collected by a pressure transmitter in the vacuum pipeline, calculating the rate of vacuum degree decrease per unit time. The real-time values ​​of these three parameters are logically ANDed with their corresponding preset conditions. Only when all three parameters are simultaneously satisfied is it determined that the soil moisture redistribution is sufficient, and the next round of vacuum startup is triggered.

[0022] In step S104, the drainage depth factor is determined based on the ratio of the average drainage depth of the drainage management unit corresponding to each branch to the total depth of the stockpile; the consolidation degree contribution factor is determined based on the difference between the current consolidation degree and the target consolidation degree of the branch, with a larger difference resulting in a larger factor value; the time discount factor is determined based on the ratio of the operating time of the branch to the estimated total drainage time, with a smaller factor value resulting in a longer operating time. The comprehensive drainage energy consumption ratio is the unit energy consumption drainage efficiency value after weighted correction by these three factors. Based on this, the system switches the output power of the vacuum pump group from the pump group corresponding to the inefficient branch to the pump group corresponding to the efficient branch. When the comprehensive energy consumption ratio of all branches shows a continuous downward trend, the operating frequency of the vacuum pump is gradually reduced through the frequency converter to reduce the total power output.

[0023] In step S105, the intelligent sludge diagnosis and adaptive dredging avoids misjudgment through a dual verification mechanism. When the comprehensive drainage energy consumption ratio of a certain branch is lower than the global average, the water content sensor data of the corresponding drainage management unit of that branch is retrieved. If the water content remains stable or rises within multiple consecutive monitoring cycles, it is determined that the drainage board is clogged. After the sludge is determined, the vacuum pump of that branch is turned off and switched to pneumatic mode. Compressed air is injected into the drainage board through the air compressor, and the reverse airflow is used to impact the sludge layer around the drainage board to loosen its structure. Then, the system switches back to vacuum mode, and the loosened particles are extracted with the water flow using negative pressure. This alternating cycle of pneumatic pulse and vacuum suction continues. After each cycle, the dredging effect is evaluated by comparing the current drainage flow rate with the flow rate before the sludge occurred, until the drainage flow rate returns to the set ratio.

[0024] In step S106, the dynamic reconfiguration of the multi-directional pipe network topology is performed based on the real-time ranking of the comprehensive drainage energy consumption ratio of each branch. Branches with a comprehensive drainage energy consumption ratio below a set threshold are identified as inefficient branches and disconnected from the main pipe network via electrically controlled valves. Simultaneously, branches with a comprehensive drainage energy consumption ratio above the set threshold are identified as efficient branches, and these branches are connected in series to form one or more continuous priority drainage channels by adjusting the connectivity of the valve matrix. The series-connected priority drainage channels enable the suction force of the vacuum pump unit to act sequentially on multiple efficient areas along the pipeline, avoiding the diversion loss of vacuum energy on inefficient branches.

[0025] In step S107, the edge controller, acting as the local decision-making node for each drainage management unit, has pre-stored initialized water cut ratio decay prediction model parameters and basic scheduling logic. When the communication link is normal, the edge controller uploads real-time data such as water cut ratio, drainage flow rate, pore water pressure, and comprehensive energy consumption ratio of its unit to the central control system via fieldbus or wireless network, while simultaneously receiving updated model parameters and global scheduling instructions from the central control system. When the communication link is interrupted due to network failure or electromagnetic interference, the edge controller automatically switches to a preset emergency strategy mode. This mode continues to perform trend prediction and stage switching judgment based on locally stored historical data and initial model parameters, while maintaining basic vacuum drainage functions according to a preset fixed interval until communication is restored and data and instructions are resynchronized with the central control system.

[0026] In step S108, after the central control system aggregates the data from all units, it compares the current moisture content of each unit with the preset termination moisture content threshold and the current drainage flow rate with the set percentage of the initial drainage flow rate. When all units simultaneously meet these two conditions, it sends shutdown commands to each pump group of the variable frequency vacuum pumping system in a preset shutdown sequence and sends a full-close command to the electronically controlled valve matrix. Furthermore, a consolidation treatment report containing the final moisture content distribution map, total drainage volume, and cumulative energy consumption can be generated and stored in the database.

[0027] This embodiment provides a theoretical benchmark for drainage scheduling through a water content trend prediction model. It dynamically adjusts the stage switching threshold using the deviation coefficient between the actual attenuation rate and the predicted attenuation rate, so that the drainage strategy matches the heterogeneous consolidation rate of the soil. In the three-dimensional vacuum stage, a multi-parameter coupling criterion is introduced to dynamically determine the intermittent period, so that the vacuum start-up and shutdown are synchronized with the rhythm of water redistribution inside the soil. A multi-dimensional energy consumption ratio evaluation model is used to achieve global optimization of vacuum resources. Combined with intelligent siltation diagnosis and adaptive dredging, dynamic reconstruction of pipeline topology, and edge computing distributed architecture, the drainage strategy is adaptively matched to the heterogeneity of the soil and the vacuum resources are efficiently utilized during the drainage consolidation process of dredged mud dumps, thereby improving the efficiency and energy saving level of drainage consolidation in dredged mud dumps.

[0028] Please see Figure 2 In some embodiments, initial water cut and liquid limit data of each drainage management unit are obtained, and a water cut trend prediction model is established based on Terzaghi's one-dimensional consolidation theory or hyperbolic exponential decay model to generate a water cut-time decay prediction curve, including: S201. After the dredging is completed, start the condition monitoring network to obtain the initial moisture content and liquid limit data of each zone and establish a moisture content benchmark. S202. Calculate the initial moisture ratio of each zone based on the initial moisture content and liquid limit data. The initial moisture ratio is the ratio of the initial moisture content to the liquid limit, which serves as a reference value for phase switching. S203. Divide the storage yard into several drainage management units according to the planar grid. Each drainage management unit is equipped with an independent monitoring and control channel. The drainage management unit corresponds one-to-one with the moisture content monitoring and vacuum control in the subsequent phased drainage scheduling. S204. Based on Terzaghi's one-dimensional consolidation theory or hyperbolic exponential decay model, establish the water content-time decay prediction curves for each drainage management unit. The prediction curves reflect the theoretical trend of water content decay over time. S205. Real-time collection of water content ratio of each drainage management unit and comparison with the prediction curve to obtain actual attenuation data; S206. Calculate the deviation coefficient between the actual attenuation rate and the predicted attenuation rate. The deviation coefficient reflects the degree of deviation between the actual drainage rate and the theoretical trend. S207. When the deviation coefficient is greater than the set positive value, it is determined that the actual attenuation rate is higher than the predicted value. The stage switching threshold is increased to make full use of the drainage efficiency of the current stage and avoid entering the next stage too early. When the deviation coefficient is less than the set negative value, it is determined that the actual attenuation rate is lower than the predicted value. The stage switching threshold is reduced to enter the next stage in advance to prevent the drainage efficiency attenuation period from continuing to operate. The threshold adjustment amount is calculated by weighting the absolute value of the deviation coefficient and the liquid limit correction coefficient. The liquid limit correction coefficient is used to correct the influence of soil properties on the consolidation rate, and the adjusted threshold is sent to the edge controller of each drainage management unit.

[0029] In step S201, the condition monitoring network consists of moisture content sensors and data acquisition devices deployed in each zone of the stockpile. The sensors can employ the frequency domain reflectometry or time domain reflectometry principle and are installed at the center of each zone via pre-embedding. Liquid limit data is determined by cone or disc liquid limit tests on the dredged mud samples using a liquid limit meter. When measured data is unavailable, it can be estimated based on empirical formulas relating mud clay content and liquid limit. For example, a regression equation can be established by collecting liquid limit and clay content data for similar soil types, and the clay content of the stockpile mud can be substituted into the equation to obtain an estimated liquid limit value. After verification, the obtained initial moisture content and liquid limit data are used to calculate the ratio of initial moisture content to liquid limit for each zone as the moisture content benchmark.

[0030] In step S202, the initial moisture content is the ratio of the initial moisture content to the liquid limit. A ratio greater than 1 indicates that the soil is in a fluid state, while a ratio less than 1 indicates that it has entered a plastic state. This initial moisture content is used to determine the initial values ​​of adaptive threshold one and adaptive threshold two. For example, the initial value of adaptive threshold one can be set to the initial moisture content multiplied by a coefficient greater than 1, and the initial value of adaptive threshold two can be set to the initial moisture content multiplied by a coefficient less than 1. The coefficient values ​​are determined based on the early drainage test data of the stockpile.

[0031] In step S203, the storage yard is divided into several drainage management units according to a planar grid. The grid can be square or rectangular, and the side length of the grid is determined based on the spacing of the drainage boards and the branch spacing of the vacuum pipeline, ensuring that each grid contains at least one complete drainage board influence area. Each drainage management unit is equipped with an independent moisture content sensor, pore water pressure sensor, flow meter, and electrically controlled valve, forming an independent monitoring and control channel. The numbering rules of the sensors and valves correspond one-to-one with the grid numbers, facilitating data association and control command issuance.

[0032] In step S204, the Terzaghi one-dimensional consolidation theory uses the consolidation coefficient and drainage path length as inputs to calculate the theoretical water content at each time point through analytical solutions of the degree of consolidation. The consolidation coefficient is determined through indoor consolidation tests or empirically based on soil type, and the drainage path length is determined according to the spacing of the drainage boards and the thickness of the drainage layer. The hyperbolic exponential decay model uses the initial water content and previously measured water content data as inputs, and fits the shape parameters and decay rate of the decay curve using the least squares method. The Levenberg-Marquardt algorithm can be used to optimize parameter convergence during fitting. The predicted curve provides a benchmark for subsequent judgment on whether the actual drainage rate deviates from the expectation.

[0033] In step S205, the water content data of each drainage management unit is collected in real time, and the collection frequency can be dynamically adjusted according to the consolidation stage. The real-time collected water content data is compared with the predicted curve at the same time point, and the difference between the actual water content and the predicted water content at each time point is calculated to obtain the actual attenuation data. The actual attenuation data is stored in the local database of the edge controller in the form of a time-water content data pair sequence, and the collection timestamp and data quality identifier are recorded at the same time.

[0034] In step S206, the actual attenuation rate is calculated using the rate of change of water content within a sliding window. The duration of the sliding window can be set according to the consolidation stage, for example, by calculating the average attenuation rate using data from the most recent collection cycles. The predicted attenuation rate is determined by the derivative or difference value of the prediction curve at the current time point. The deviation coefficient is the difference or ratio between the actual attenuation rate and the predicted attenuation rate. When using the difference calculation, a positive value indicates that the actual drainage is faster than expected, and a negative value indicates that it is slower than expected. The deviation coefficient can be processed using moving average or exponential smoothing to eliminate random noise interference from a single collection. The smoothing coefficient is set according to the degree of data fluctuation.

[0035] In step S207, positive and negative values ​​are set as sensitivity parameters for triggering threshold adjustment. These can be determined using pre-test data or empirical values ​​from the stockpile, for example, by setting the absolute values ​​of the positive and negative values ​​to be equal. The liquid limit correction coefficient is determined based on the ratio of the liquid limit of the soil in each zone to the liquid limit of the standard soil. The adjusted threshold is sent to each drainage management unit through the communication interface of the edge controller, replacing the original threshold as the basis for judging subsequent stage switching.

[0036] This embodiment acquires initial moisture content and liquid limit data for each zone through a state monitoring network and establishes a moisture content benchmark. The stockpile is divided into independent drainage management units according to a planar grid and configured with independent monitoring and control channels. Based on Terzaghi's one-dimensional consolidation theory or hyperbolic exponential decay model, a moisture content-time decay prediction curve for each unit is established. The actual decay data is obtained by comparing the real-time collected moisture content data with the prediction curve. The deviation coefficient between the actual decay rate and the predicted decay rate is calculated. The threshold adjustment amount is calculated by weighting the deviation coefficient and the liquid limit correction coefficient, and the stage switching threshold is dynamically corrected so that the drainage stage switching can adaptively match the actual consolidation rate changes of the soil in each unit.

[0037] In some embodiments, the stage switching threshold is dynamically adjusted based on the deviation coefficient between the actual attenuation rate and the predicted attenuation rate, including entering the pure gravity drainage stage when the water content is higher than the adaptive threshold one, entering the gravity and low-pressure vacuum assisted stage when the water content is between the adaptive threshold one and the adaptive threshold two, and entering the three-dimensional vacuum stage when the water content is lower than the adaptive threshold two. Real-time data collection of water content in each drainage management unit and comparison with predicted trends are used to obtain the current water content status. The stage switching threshold is dynamically adjusted based on the deviation coefficient between the actual attenuation rate and the predicted attenuation rate, so that the threshold changes adaptively with the soil consolidation rate. When the moisture content is higher than the adaptive threshold, the pure gravity drainage stage is entered. The relationship between the elevation of the external drainage outlet and the elevation of the bottom of the storage yard is checked. Under gravity flow conditions, the bottom gate is opened and all vacuum pumps are closed. The water is discharged by gravity through the bottom drainage layer and the lateral radial pipe. Under conditions where gravity flow is not possible, the bottom low-pressure vacuum is activated, and the vacuum level is gradually increased from the low vacuum level to the target vacuum level. Negative pressure is applied to simulate gravity flow conditions to drive the water out. The target vacuum level is lower than the vacuum level required for conventional vacuum drainage. When the water content is between adaptive threshold one and adaptive threshold two, it enters the self-weight and low-pressure vacuum assisted stage, keeping the bottom drainage channel open, and the water is discharged through the bottom drainage layer. Real-time monitoring of bottom drainage flow rate; when the drainage flow rate is lower than the threshold, it is determined that the efficiency has decreased, and a lateral low-pressure vacuum is activated to assist in the discharge of water in the middle of the soil. The low-pressure vacuum degree is lower than the vacuum degree of the three-dimensional vacuum stage. The top vacuum is kept closed to avoid increasing energy consumption and excessive shallow dehydration caused by introducing a top vacuum. When the moisture content is lower than the adaptive threshold of 2, the three-dimensional vacuum stage is entered. The bottom drainage channel is closed, the self-weight drainage is stopped, and the multi-directional vacuum is started. At the same time, the bottom vacuum, the side vacuum and the top vacuum are activated to form a three-dimensional vacuum field to drain the soil in all directions.

[0038] In this embodiment, the current moisture content status refers to the quantified result of the deviation between the real-time moisture content data of each drainage management unit and the predicted curve at the same point in time. This result can be expressed as the difference or ratio between the actual moisture content and the predicted moisture content, or it can be divided into discrete levels such as normal, faster, and slower based on the degree of deviation, which are used as input for subsequent threshold adjustment decisions. The stage switching threshold is the two moisture content critical values, adaptive threshold one and adaptive threshold two. The greater the deviation in the current moisture content status, the greater the threshold adjustment range.

[0039] The elevation of the external drainage outlet and the bottom of the storage yard can be obtained by measuring with a level or RTK-GPS. When the external drainage outlet elevation is lower than the bottom of the storage yard, it is considered a gravity-flow condition. The bottom gate uses an electric or hydraulic gate valve, with opening and closing commands issued by the edge controller. When the external drainage outlet elevation is higher than or equal to the bottom of the storage yard, it is considered a non-gravity-flow condition. In this case, the bottom vacuum pump unit is started, and the vacuum level is gradually increased to the target vacuum level through a frequency converter at a set rate. The target vacuum level is calculated based on the water level difference inside and outside the storage yard, and its value is lower than the vacuum level required for conventional vacuum drainage.

[0040] When the moisture content is between adaptive threshold one and adaptive threshold two, it indicates that the soil has initially completed the main drainage stage of self-weight drainage, but a large amount of water still needs to be discharged by external force. At this time, the bottom drainage flow rate can be monitored in real time by an electromagnetic flow meter or ultrasonic flow meter installed at the bottom drainage pipe outlet. When the drainage flow rate is lower than the set threshold, the lateral vacuum pump group is activated to apply a low-pressure vacuum. This threshold is set according to the proportion of the initial drainage flow rate. The top vacuum remains closed during this stage to avoid excessive dehydration of the shallow soil, forming a hard crust that hinders the drainage of deeper water.

[0041] When the moisture content is below the adaptive threshold of 2, it indicates that the soil moisture content has dropped to a low level, and it is difficult to drain further by its own weight and low-pressure vacuum assistance alone. A three-dimensional driving force field needs to be formed by multi-directional vacuum. At this time, the bottom gate is closed to cut off the bottom drainage channel. The central control system simultaneously issues start commands to the bottom vacuum pump group, the side vacuum pump group, and the top vacuum pump group. Each pump group pressurizes to its target vacuum level at a preset rate, forming a three-dimensional pressure gradient field that converges from the surrounding soil towards the drainage board.

[0042] This embodiment determines the gravity flow conditions by comparing the elevation of the external drainage outlet with the bottom elevation of the stockpile, and selects either pure gravity drainage or bottom low-pressure vacuum-assisted drainage accordingly. The gravity drainage efficiency is determined by real-time monitoring of the bottom drainage flow rate, and lateral low-pressure vacuum assistance is activated accordingly. The system switches to the three-dimensional vacuum stage and closes the gravity drainage channel by comparing the water content with the adaptive threshold, so that the drainage strategy at each stage matches the actual drainage state of the soil.

[0043] Please see Figure 3 In some embodiments, multi-parameter dynamic intermittent vacuum control is performed during the three-dimensional vacuum phase. The intermittent period is determined based on a coupled criterion of three parameters: pore water pressure recovery ratio, drainage plate flow recovery rate, and vacuum attenuation gradient. This includes: S301. During the operation of the three-dimensional vacuum stage, negative pressure is applied to drain water, forming a three-dimensional vacuum field to drain the soil in all directions. S302. During the stop period, collect soil pore water pressure data in real time and calculate the ratio of the current pore water pressure to the initial pore water pressure as the pore water pressure recovery ratio. During the shutdown period, the flow rate data of the drainage board outlet is collected in real time, and the flow rate change rate per unit time is calculated as the drainage board flow recovery rate. During the shutdown period, the vacuum degree decay gradient is monitored in real time to obtain the decay rate of vacuum degree over time; S303. The intermittent period is determined by a coupled criterion based on three parameters: pore water pressure recovery ratio, drainage board flow recovery rate, and vacuum attenuation gradient. The coupled criterion reflects the sufficiency of water redistribution during the shutdown period. When the pore water pressure recovery ratio is greater than the recovery ratio threshold, the drainage board flow recovery rate is greater than the recovery rate threshold, and the vacuum degree decay gradient is less than the decay gradient threshold, it is determined that the three parameters simultaneously meet the set conditions. During the stop period, the water redistribution is sufficient, the infiltration path is restored, and the negative pressure drainage is restarted. When the pore water pressure recovery ratio is not greater than the recovery ratio threshold, the drainage board flow recovery rate is not greater than the recovery rate threshold, or the vacuum degree attenuation gradient is not less than the attenuation gradient threshold, it is determined that any parameter does not meet the set conditions, and the stop period is extended until all three parameters meet the set conditions simultaneously. S304. Upon startup, the criterion is based on the vacuum level recovering to the set threshold. After the vacuum level recovers to the set threshold, the multi-directional vacuum is activated to drain water.

[0044] In step S301, the operation period is the time during which the vacuum pump unit works continuously and the drain plate is in a negative pressure suction state. This period alternates with the subsequent stop period to form a complete intermittent cycle.

[0045] In step S302, the initial pore water pressure is taken as the steady-state value of the pore water pressure of the soil surrounding the drainage board during the last stable operation before stopping. The drainage board flow recovery rate is obtained by continuously collecting flow data at the drainage board outlet during the stop period using a flow meter, calculating the flow difference between adjacent collection times and dividing by the time interval. This difference reflects the trend of the flow gradually recovering from its decreasing state at the time of stopping. The vacuum degree decay gradient is obtained by continuously collecting vacuum degree data during the stop period using a pressure transmitter in the vacuum pipeline, calculating the vacuum degree difference between adjacent collection times and dividing by the time interval. This difference reflects the rate of vacuum degree decay during the stop period.

[0046] In steps S303 to S304, the recovery ratio threshold can be determined by measuring the pore pressure recovery curve of the soil after unloading through indoor consolidation tests, and the permeability coefficient recovery rate corresponding to the pore pressure recovery to a certain percentage of the initial pore pressure is taken as the setting basis; the recovery rate threshold can be determined by on-site drainage board pumping tests, and the rate value corresponding to the percentage of the flow rate increment reaching the maximum value per unit time during the process of the drainage board flow rate recovering from zero to the stable flow rate is taken; the attenuation gradient threshold can be determined by combining vacuum pipeline tightness tests and soil permeability tests, and the upper limit of the attenuation rate corresponding to the attenuation segment dominated by soil permeability in the natural attenuation curve of vacuum degree is taken.

[0047] The coupling criterion performs a logical AND operation between the real-time values ​​of the three parameters and their respective thresholds. The stop period ends only when all three conditions are met simultaneously. If any condition is not met, the system continues to monitor and recalculate the three parameters at regular intervals until all three conditions are met simultaneously, at which point the next vacuum start-up is triggered. The set threshold for the start-up criterion is determined based on the rated vacuum level of the vacuum pump, reflecting that the vacuum system has returned to a state where it can operate normally.

[0048] This embodiment uses real-time monitoring and coupling criteria of three parameters—pore water pressure recovery ratio, drainage board flow recovery rate, and vacuum attenuation gradient—to dynamically determine the duration of the shutdown period based on the actual progress of soil moisture redistribution, rather than using a fixed intermittent cycle. The vacuum recovery criterion at startup ensures that the vacuum equipment is put back into operation only after its condition has recovered, forming a complete dynamic intermittent control closed loop. This synchronizes the vacuum start-up and shutdown rhythm with changes in soil drainage status, avoiding the problems of insufficient or excessive waiting caused by a fixed intermittent cycle.

[0049] In some embodiments, a comprehensive drainage energy consumption ratio evaluation model is established by introducing a drainage depth factor, a consolidation degree contribution factor, and a time discount factor. This model automatically allocates vacuum resources from inefficient regions to efficient regions and automatically reduces the total power of the vacuum pump when the global energy consumption ratio continues to decrease. A comprehensive drainage energy consumption ratio evaluation model is established by introducing drainage depth factor, consolidation degree contribution factor and time discount factor. The comprehensive drainage energy consumption ratio is the product of drainage flow rate and drainage depth factor and consolidation degree contribution factor divided by the product of vacuum pump power and time discount factor. Real-time collection of drainage flow rate and corresponding vacuum pump power data for each branch; Real-time calculation of the comprehensive drainage energy consumption ratio of each branch. The comprehensive drainage energy consumption ratio reflects the actual drainage efficiency per unit of energy consumption under the contribution of a specific drainage depth and degree of consolidation. Branches with a comprehensive drainage energy consumption ratio lower than the global average are identified as inefficient areas, and the vacuum resources in inefficient areas are automatically allocated to efficient areas with a comprehensive drainage energy consumption ratio higher than the global average. When the comprehensive drainage energy consumption ratio of a branch is higher than the global average, the branch is judged to have high drainage efficiency, and the vacuum degree of the corresponding branch is increased to make full use of the high-efficiency drainage capacity. Continuously monitor the changing trend of the comprehensive drainage energy consumption ratio of each branch road, and record the time series data of the comprehensive drainage energy consumption ratio of each branch road; When the overall drainage energy consumption ratio of all operating branches shows a continuous downward trend and the duration of the decline exceeds the preset duration, it is determined that the overall drainage of the storage yard is coming to an end. The power reduction is calculated based on the rate of decrease in the overall drainage energy consumption ratio, and the total power of the vacuum pump is automatically reduced to a power level that matches the current drainage demand, thus avoiding ineffective drainage with high energy consumption and low output.

[0050] In this embodiment, the drainage depth factor is determined based on the ratio of the average drainage depth of the drainage management unit corresponding to each branch to the total depth of the storage yard. The average drainage depth is taken as the weighted average of the lengths of all drainage boards within the branch. The greater the depth, the greater the gravitational potential energy required to overcome for drainage, and the value of this factor increases accordingly. The consolidation degree contribution factor is determined based on the difference between the current consolidation degree and the target consolidation degree of the branch. The current consolidation degree is calculated by converting the real-time moisture content to the initial moisture content. The larger the difference, the greater the consolidation potential of the area, and the value of this factor increases accordingly. The time discount factor is determined based on the ratio of the operating time of the branch to the estimated total drainage time. The operating time is accumulated from the first time the branch enters the three-dimensional vacuum stage. The estimated total drainage time is set based on previous tests or experience from similar projects. The longer the operating time, the lower the drainage efficiency, and the value of this factor decreases accordingly. The comprehensive drainage energy consumption ratio is the product of drainage flow rate and drainage depth factor and consolidation degree contribution factor, divided by the product of vacuum pump power and time discount factor. This ratio reflects the actual drainage efficiency per unit of energy consumption after considering drainage depth, consolidation potential and time decay.

[0051] The drainage flow rate of each branch is collected in real time by electromagnetic or ultrasonic flow meters installed on the main branch pipe. The power of the corresponding vacuum pump is calculated by converting the frequency and current value output by the frequency converter, or directly measured by a power meter. The calculation cycle of the comprehensive drainage energy consumption ratio is synchronized with the data acquisition cycle, and the calculation results are stored in the central control system database with timestamps as indexes. The global average is taken as the arithmetic mean of the comprehensive drainage energy consumption ratio of all operating branches. During the calculation, data of branches temporarily closed due to blockage diagnosis or topology reconfiguration are excluded to avoid outliers lowering the average and causing misjudgment. Branches below the average are identified as inefficient areas, and their vacuum resource allocation is reduced by decreasing the output frequency of the corresponding frequency converter or closing the valve opening. Branches above the average are identified as efficient areas, and their vacuum level is increased by increasing the output frequency of the corresponding frequency converter or opening the valve opening, but the increased vacuum level does not exceed the smaller value between the rated vacuum level of the vacuum pump and the maximum allowable negative pressure of the drainage plate.

[0052] When continuously monitoring the overall drainage energy consumption ratio of each branch, the trend is determined by comparing the energy consumption ratio values ​​of adjacent collection periods. If the ratio decreases for several consecutive periods, it is considered a continuous downward trend. The preset duration is determined based on the time required for the energy consumption ratio to continuously decrease until the drainage flow rate drops to a negligible level during the stockpile drainage test. Alternatively, it can be calculated based on historical operating data of similar soil stockpiles, reflecting the shortest continuous decrease time required for drainage to enter the final stage. When it is determined that the overall drainage of the stockpile has entered the final stage, the rate of decrease is taken as the average decrease in the overall drainage energy consumption ratio over the most recent collection periods. The power reduction is determined by the product of the rate of decrease and the current total power. The operating frequency of all operating vacuum pumps is gradually reduced using frequency converters, so that the total power of the vacuum pumps is reduced to a level that matches the current drainage demand. The reduced total power of the vacuum pumps is not lower than the minimum power required to maintain basic drainage. This minimum power is determined based on the number of drainage boards and the pipeline resistance characteristics, ensuring that drainage is not interrupted due to insufficient vacuum during the power reduction process.

[0053] This embodiment establishes a multi-dimensional comprehensive drainage energy consumption ratio evaluation model by introducing drainage depth factor, consolidation degree contribution factor and time discount factor, so that the energy consumption evaluation results more realistically reflect the actual drainage efficiency of each area; by automatically allocating vacuum resources from inefficient areas to efficient areas, global optimization of vacuum energy configuration is achieved; by continuously monitoring the trend of energy consumption ratio change and automatically reducing the total power when the global energy consumption ratio continues to decline, ineffective energy consumption at the end of drainage is avoided, thus improving the overall drainage energy efficiency.

[0054] In some embodiments, intelligent sludge diagnosis and adaptive dredging are performed. When the comprehensive drainage energy consumption ratio of a branch is lower than the global average, a dual-criteria diagnosis is performed based on the water content status. After sludge determination, vacuum-pressure alternating pulse dredging is triggered, including: Real-time calculation of the comprehensive drainage energy consumption ratio of each branch and comparison with the global average to obtain the relative drainage efficiency of each branch; When the comprehensive drainage energy consumption ratio of the branch is lower than the global average, the real-time water content of the corresponding drainage management unit is obtained, and a dual-criteria diagnosis is performed in combination with the water content status. When the real-time moisture content remains unchanged or increases, it is determined that the drainage board is clogged. The clogged drainage channel is blocked, which reduces the drainage efficiency. Trigger the vacuum-pressure alternating pulse unblocking procedure, first shut down the corresponding branch vacuum pump and switch to pressure mode, cut off the vacuum path and establish the pressure path; Apply a reverse air pressure pulse to the drainage plate to loosen the blockage particles around the drainage plate. The direction of the air pressure pulse is opposite to the direction of vacuum suction, and the air pressure thrust is used to destroy the blockage structure. Switch back to vacuum mode to restore vacuum suction and discharge the loosened particles with the water flow. Use vacuum negative pressure to remove the loosened particles from the drain plate. Repeat the alternating cycle of air pressure pulse and vacuum suction, and check the drainage flow recovery rate after each cycle; When the drainage flow recovery rate is greater than the preset recovery threshold and the overall drainage energy consumption ratio rises to a set ratio higher than the global average, the dredging is determined to be completed, the alternating cycle is exited, and the normal vacuum drainage of the corresponding branch is restored. When the real-time moisture content continues to decrease, it is determined that the corresponding area has completed consolidation rather than blockage. The vacuum pump of the corresponding branch is then shut down and the released vacuum pump power is allocated to other branches.

[0055] In this embodiment, the dual-criteria diagnosis consists of two independent criteria: a comprehensive drainage energy consumption ratio lower than the global average and an abnormal water content. Both criteria must be met simultaneously to determine that the drainage board is clogged, thus avoiding misjudging consolidation completion as clogging. The real-time water content is directly read from the water content sensor of the corresponding drainage management unit. The water content status is determined by the trend of water content change over multiple consecutive collection cycles. When the absolute value of the rate of change is less than a set threshold, it is determined to be unchanged; when the rate of change is greater than a set positive value, it is determined to be increasing; and when the rate of change is less than a set negative value, it is determined to be decreasing.

[0056] When triggering the vacuum-pressure alternating pulse dredging program, the sequence of first disconnecting the vacuum and then introducing the pressure prevents simultaneous action of vacuum and pressure on the drainage board, which could damage the equipment. The reverse pressure pulse is generated by an air compressor and intermittently applied to the drainage board at a certain frequency and duty cycle through a pressure valve. The pressure magnitude is determined based on the compressive strength of the drainage board and the soil properties, and can be gradually increased from low to high to avoid instantaneous high pressure damaging the drainage board structure. The direction of the pressure pulse is opposite to the water flow direction during normal vacuum suction, i.e., it blows outward from inside the drainage board, using repeated impact force to loosen fine particles clogging the filter membrane pores of the drainage board or the surrounding soil. When switching back to vacuum mode, the pressure valve is closed first, then the vacuum valve is opened, and finally the vacuum pump is started. The sequence of first disconnecting the pressure, then introducing vacuum, and then starting the pump prevents the vacuum pump from starting under no-load conditions, using the negative vacuum pressure to discharge the loosened particles with the water flow.

[0057] After each cycle, the drainage flow recovery rate is measured. This recovery rate is the ratio of the drainage flow rate after the current cycle to the normal drainage flow rate before the blockage occurred. The preset recovery threshold is set as a percentage of the drainage board's design flow rate or the normal flow rate before the blockage occurred; the setting ratio is set based on the historical fluctuation range of the comprehensive drainage energy consumption ratio, reflecting the recovery of drainage efficiency to normal levels after unblocking. After unblocking, the vacuum pump power is restored to the preset value before unblocking. If the drainage flow recovery rate still does not reach the preset recovery threshold after several consecutive cycles, the unblocking is considered a failure, and an alarm signal is issued to await manual intervention. When the corresponding area is solidified but not blocked, the released vacuum pump power is redistributed to other high-efficiency branches through a frequency converter or the total power is reduced to save energy. The electrically controlled valve of this branch remains slightly open to prevent water accumulation in the pipeline from being unable to drain.

[0058] This embodiment uses a dual-criteria diagnosis of comprehensive drainage energy consumption ratio and water content state to accurately distinguish between two different causes of decreased drainage efficiency: siltation and complete consolidation, thus avoiding misjudgment. A vacuum-air pressure alternating pulse unblocking procedure is used, employing the alternating action of reverse air pressure pulses to loosen silt particles and vacuum suction to remove loosened particles, achieving active unblocking without manual intervention. Unblocking completion is determined by dual verification of drainage flow recovery rate and comprehensive drainage energy consumption ratio recovery rate, ensuring reliable unblocking results.

[0059] In some embodiments, each drainage management unit is configured with an edge controller to locally perform trend prediction and basic scheduling. When communication is normal, the unit reports its status to the central control system and receives global instructions. When communication is interrupted, the unit operates autonomously based on a preset emergency strategy, including: Each drainage management unit is equipped with an edge controller, which integrates a water content sensor, a pore water pressure sensor and a flow sensor to achieve real-time local acquisition of multiple parameters. The edge controller performs local trend prediction, calculates the water content decay trend based on the locally stored water content-time decay prediction model, and predicts the timing of stage switching. The edge controller performs threshold judgment locally, determines the current drainage stage based on the comparison between the real-time water content ratio and the adaptive threshold, and issues control commands to the actuator. The edge controller performs emergency switching locally, automatically switching to a safe operating mode when abnormal operating conditions are detected, including vacuum pump failure or sensor failure. The edge controller performs basic intermittent control locally, and performs intermittent vacuum scheduling based on the locally acquired pore water pressure recovery ratio and drainage plate flow recovery rate during the three-dimensional vacuum phase. When communication is normal, the edge controller periodically reports water content, flow rate, comprehensive drainage energy consumption ratio and pore water pressure status data to the central control system, and receives global scheduling instructions and model parameter updates issued by the central control system. When communication is interrupted, the edge controller operates autonomously based on the locally stored predictive model and pre-set emergency strategy to maintain basic drainage functions until communication is restored. The central control system is responsible for aggregating global data, training and updating the prediction model, and distributing the updated model parameters and stage switching thresholds to each edge controller.

[0060] In this embodiment, the edge controller preferably employs an embedded processor. It connects to a water content sensor, a pore water pressure sensor, and a flow sensor via an analog input interface, and connects to an electrically controlled valve and a vacuum pump frequency converter via a digital output interface. The sensors can be connected to the edge controller via a 4-20mA current loop. The edge controller polls the data from each sensor at a set frequency and stores it in a local cache.

[0061] The initial parameters of the locally stored water cut ratio-time decay prediction model are issued by the central control system during system initialization. When communication is normal, the central control system periodically issues updated model parameters to replace the old ones. When the edge controller performs trend prediction, it substitutes real-time water cut ratio data into the prediction model, calculates the water cut ratio decay curve for a future period, and compares this curve with adaptive threshold one and adaptive threshold two to predict the time point for entering the next drainage stage. When the edge controller performs threshold judgment, it reads the current values ​​of adaptive threshold one and adaptive threshold two from memory, compares the real-time water cut ratio with these two thresholds, determines the current drainage stage based on the comparison result, and issues control commands to the actuators.

[0062] When performing an emergency switch, the edge controller determines whether there is an overload or open circuit by monitoring the current feedback signal of the vacuum pump inverter, and determines whether there is a failure by monitoring the data validity indicators of the sensors. When an abnormal operating condition is detected, the edge controller directly shuts down the vacuum pump of the corresponding branch and switches the electrically controlled valve to a preset safe opening. When performing basic intermittent control, the edge controller relies only on two parameters—the pore water pressure recovery ratio and the drainage board flow recovery rate—acquired locally, and does not rely on the global optimization parameters issued by the central control system.

[0063] When communication is normal, the edge controller reports water cut, flow rate, comprehensive drainage energy consumption ratio, and pore water pressure status data to the central control system at a set period. The reporting period can be dynamically adjusted according to the drainage stage. The edge controller also receives global scheduling instructions and model parameter updates from the central control system. When communication is interrupted, the edge controller operates autonomously based on the locally stored prediction model and preset emergency strategies. The preset emergency strategies include using fixed stage switching thresholds instead of dynamic thresholds and using fixed interval periods instead of dynamic interval periods. After communication is restored, the edge controller uploads the local operating data during the interruption to the central control system and receives updated model parameters and scheduling instructions.

[0064] The central control system aggregates real-time data reported by all edge controllers, compares the actual drainage data with the theoretical output of the prediction model, and refits the model parameters using the least squares method to make the updated model more accurately reflect the actual drainage characteristics of the current stockpile. Model updates can be set to be timed or event-triggered, and the updated model parameters and stage switching thresholds are sent to each edge controller via communication links.

[0065] This embodiment reduces the system's reliance on real-time communication with the central control system by configuring edge controllers in each drainage management unit to perform trend prediction, threshold judgment, emergency switching, and basic intermittent control locally. It achieves global collaborative optimization through data reporting and command receiving mechanisms when communication is normal, ensures the basic drainage function of the system is not interrupted through preset emergency strategies when communication is interrupted, and continuously optimizes prediction accuracy through the global model training and parameter update mechanism of the central control system.

[0066] In some embodiments, dynamic reconfiguration of the multi-directional pipe network topology is performed, adjusting the opening degree of each branch's electrically controlled valves according to the overall drainage energy consumption ratio distribution, closing inefficient branches, and connecting high-efficiency branches in series to form a priority drainage channel, including: An electronically controlled valve matrix is ​​configured in each branch, and the electronically controlled valve matrix is ​​controlled by the central control system to realize independent adjustment of the opening degree of each branch and dynamic switching of the connection relationship between branches; The central control system calculates the comprehensive drainage energy consumption ratio of each branch in real time and obtains the real-time drainage efficiency distribution of each branch. The drainage efficiency distribution reflects the contribution of each branch to the overall drainage. The opening degree of each branch's electrically controlled valve is dynamically adjusted according to the distribution of the comprehensive drainage energy consumption ratio. The valve opening degree of the high-efficiency branch is increased to improve the vacuum energy transfer efficiency, and the valve opening degree of the low-efficiency branch is reduced to limit the waste of vacuum energy. Close inefficient branches with a comprehensive drainage energy consumption ratio below a set threshold to prevent vacuum energy from being wasted in ineffective drainage areas and redistribute the released vacuum energy to efficient branches. The efficient branch lines are connected in series to form a priority drainage channel. The priority drainage channel allows vacuum energy to be transferred along the optimal path to the area with the highest drainage efficiency. The series connection order of the priority drainage channels is determined according to the overall drainage energy consumption ratio. The pressure distribution of each node is adjusted by the hydraulic gradient self-optimization algorithm. The hydraulic gradient self-optimization algorithm iteratively calculates the optimal pressure distribution scheme based on the pipeline topology and the resistance characteristics of each branch, so that the pressure of each node matches the resistance of the branch. By concentrating vacuum energy in the area with the highest drainage efficiency, overall drainage efficiency is improved and overall energy consumption is reduced, achieving the optimal global allocation of vacuum resources at the pipeline network level.

[0067] In this embodiment, the electrically controlled valve matrix consists of multiple electrically controlled valves arranged according to the pipeline topology. Each valve corresponds to a branch and independently adjusts the branch opening by receiving opening commands from the central control system. The central control system sends opening percentage commands to each valve via an industrial fieldbus, changing the connectivity between branches by combining the on / off states of different valves, thus achieving dynamic switching between parallel and series connections. The central control system acquires the real-time drainage efficiency distribution of each branch at a period synchronized with the calculation of the comprehensive drainage energy consumption ratio. This distribution is formed by sorting the comprehensive drainage energy consumption ratios of each branch in ascending order.

[0068] When adjusting the opening of the electrically controlled valves of each branch according to the distribution of the overall drainage energy consumption ratio, the adjustment range is proportional to the degree to which the branch's overall drainage energy consumption ratio deviates from the global average; the greater the deviation, the greater the increase or decrease in the opening range. When closing inefficient branches with an overall drainage energy consumption ratio lower than a set threshold, the set threshold is determined according to a certain proportion of the global average. The vacuum energy released after closing is redistributed to the high-efficiency branches by increasing the inverter output frequency of the vacuum pump corresponding to the high-efficiency branch. The series connection order of the high-efficiency branches to form priority drainage channels is arranged from high to low overall drainage energy consumption ratio, with the branch with the highest energy consumption ratio closest to the vacuum pump end. The connection mode is switched by closing the isolation valves between parallel branches and opening the connecting valves on the series path.

[0069] The hydraulic gradient self-optimization algorithm takes the pipeline topology, the resistance coefficient of each branch, and the vacuum pump outlet pressure as inputs, and iteratively calculates and outputs the optimal pressure setpoint for each node. The branch resistance coefficient is calculated based on the branch's pipe diameter, pipe length, current valve opening, and fluid properties. The algorithm aims to minimize the deviation between the actual pressure and the set pressure at each node, gradually adjusting the valve opening until the deviation converges within the set tolerance range, thus matching the pressure at each node with the branch resistance characteristics and achieving the globally optimal allocation of vacuum energy at the pipeline network level.

[0070] This embodiment uses an electronically controlled valve matrix to achieve independent adjustment of the opening degree of each branch and dynamic switching of the connection relationship. Based on the distribution of comprehensive drainage energy consumption ratio, inefficient branches are closed and efficient branches are connected in series to form a priority drainage channel. The optimal pressure distribution scheme is calculated iteratively through the hydraulic gradient self-optimization algorithm, so that vacuum energy is concentrated in the area with the highest drainage efficiency, and the global optimal configuration of vacuum resources at the pipeline network level is achieved.

[0071] In some embodiments, terminating drainage based on the global drainage status includes: Real-time monitoring of the moisture content of each drainage management unit, obtaining comparison data between the current moisture content and the initial moisture content, and calculating the attenuation ratio of the current moisture content relative to the initial moisture content; Real-time monitoring of drainage flow in each drainage management unit, obtaining comparison data between current drainage flow and initial drainage flow, and calculating the attenuation ratio of current drainage flow relative to initial drainage flow; Drainage is considered complete when the water content of all drainage management units is lower than the set termination threshold and the drainage flow rate is less than the set proportion of the initial drainage flow rate. Once drainage is deemed complete, the central control system issues a termination command to each actuator, gradually stopping the drainage operations of each drainage management unit. Automatically stop all vacuum pumps, and sequentially shut down the bottom vacuum pump group, side vacuum pump group and top vacuum pump group of the variable frequency vacuum pumping system, with the stopping sequence being the reverse of the starting sequence; Close all electrically controlled valves, cut off the vacuum path and gravity drainage path of the multi-directional drainage network, and ensure that the storage yard is sealed to prevent external water from flowing back in. The central control system sends out a processing completion signal, records the final drainage data, and archives the consolidation status information of each drainage management unit. The consolidation status information includes the final water content, final drainage flow rate, and the change curve of the comprehensive drainage energy consumption ratio. Archived data is uploaded to the database of the central control system for long-term storage. Based on historical data, the parameter configuration and scheduling strategy for subsequent yard drainage consolidation are optimized. The parameter configuration includes stage switching thresholds and intermittent period parameters, and the scheduling strategy includes the execution logic of staged drainage scheduling and micro-optimization.

[0072] In this embodiment, the termination threshold is determined based on the moisture content corresponding to the target consolidation degree of the stockpile. This target consolidation degree is calculated from the final soil strength or settlement required by the engineering design. The set ratio is determined based on the ratio at which the drainage flow rate decreases to a negligible level, and this ratio is determined by previous drainage tests or experience from similar projects. The initial moisture content is taken as the steady-state moisture content value of each unit before drainage begins, and the initial drainage flow rate is taken as the average flow rate of each branch during stable operation after drainage begins.

[0073] After drainage is completed, the central control system issues termination commands to each edge controller sequentially according to the drainage management unit number. When stopping the variable frequency vacuum pumping system, the top vacuum pump group is stopped first, followed by the side vacuum pump group, and finally the bottom vacuum pump group, with a set time interval between adjacent pump groups. When closing all electrically controlled valves, the bottom gate, side drain pipe valve, and top vacuum cover layer valve are closed simultaneously.

[0074] The completion signal is issued in two forms: a status prompt on the central control system interface and a notification message sent to management personnel. Consolidation status information is stored as timestamp-indexed structured data records in the central control system's database. After the archived data is uploaded, statistical analysis of drainage efficiency under different parameter configurations in historical data is used to identify the optimal combination of stage switching thresholds and intermittent cycle parameters. By comparing drainage duration and energy consumption under different scheduling strategies, the execution logic of staged drainage scheduling and micro-optimization is optimized.

[0075] This embodiment ensures the accuracy of drainage completion determination by setting a termination threshold and a set ratio as dual judgment conditions. It prevents sudden changes in pipeline pressure by stopping the vacuum pump group in the reverse order of startup. It prevents backflow of external water by closing all electrically controlled valves to keep the stockyard in a sealed state. It provides data support and experience accumulation for subsequent stockyard drainage and consolidation by archiving consolidation status information and optimizing parameter configuration and scheduling strategies based on historical data.

[0076] In a second aspect, this embodiment also provides a multi-directional intelligent gravity-vacuum combined drainage and consolidation system for dredged sludge, used to execute the method described in the first aspect. The system includes a multi-directional drainage network, a variable frequency vacuum pumping system, a gravity-fed drainage module, an electrically controlled valve matrix, an energy consumption monitoring module, a status monitoring network, an edge controller, and a central control system. The multi-directional drainage network includes a bottom drainage layer, lateral radial drainage pipes, and a top vacuum covering layer. The multi-directional drainage network is laid in the dredged sludge stockpile to form a three-dimensional drainage channel. The variable frequency vacuum pumping system includes a bottom vacuum pump group, a lateral vacuum pump group, and a top vacuum pump group. Each vacuum pump group is connected to the corresponding drainage layer of the multi-directional drainage network and is used to independently adjust the vacuum degree in each direction according to the phased drainage schedule. The gravity-fed drainage module includes a bottom gate and an external drainage channel. The bottom gate is located between the bottom drainage layer and the external drainage channel and is used to open during the pure gravity drainage stage to achieve zero-energy drainage. The electrically controlled valve matrix is ​​configured in each branch and is used to adjust the overall drainage energy consumption. The system dynamically adjusts the opening degree of each branch and the connectivity between branches; the energy consumption monitoring module is connected to each branch to collect the drainage flow rate and corresponding vacuum pump power data of each branch in real time, and calculates the comprehensive drainage energy consumption ratio of each branch; the status monitoring network is deployed in each drainage management unit, including water content sensors, pore water pressure sensors and flow sensors, to collect water content data, pore water pressure data and drainage board flow data of each drainage management unit in real time; the edge controller is configured in each drainage management unit to perform trend prediction, threshold judgment, emergency switching and basic intermittent control locally, and to operate autonomously based on preset emergency strategies when communication is interrupted; the central control system is connected to the variable frequency vacuum pumping system, the gravity-fed drainage module, the electrically controlled valve matrix, the energy consumption monitoring module, the status monitoring network and the edge controller, to perform phased drainage scheduling based on water content data, perform micro-optimization and pipeline topology reconstruction based on the comprehensive drainage energy consumption ratio, and automatically reduce the total power of the vacuum pump when the global energy consumption ratio continues to decrease.

[0077] Preferably, the bottom drainage layer of the multi-directional drainage network uses gravel or drainage blind ditch material, the lateral radial drainage pipes are arranged radially, and the top vacuum covering layer is covered with a sealing film, the three together forming a three-dimensional drainage channel; each pump group of the variable frequency vacuum pumping system is equipped with a frequency converter to independently adjust the output vacuum degree; the bottom gate of the gravity-fed drainage module uses an electric gate valve or a hydraulic gate valve; each valve in the electrically controlled valve matrix independently adjusts its opening degree and switches its connection relationship by receiving instructions from the central control system; the energy consumption monitoring module collects data in real time through flow meters and power meters; each sensor in the status monitoring network is connected to the edge controller through wired or wireless means; the edge controller uses an embedded processor, which connects to the sensors through an analog input interface and to the actuator through a digital output interface.

[0078] This system achieves three-dimensional drainage through the layered configuration of a multi-directional drainage network and a variable frequency vacuum pumping system. It achieves zero-energy drainage in the pure gravity stage through a gravity-fed drainage module. It achieves dynamic optimization of vacuum resources through the collaboration of an electronically controlled valve matrix and an energy consumption monitoring module. It achieves a combination of local autonomous decision-making and global collaborative optimization through a distributed architecture of an edge controller and a central control system. Thus, it fully executes the drainage and consolidation control process of the method described in the first aspect.

[0079] By adopting the above technical solutions, this invention differs from existing technologies and possesses the following beneficial effects: By establishing a water content trend prediction model and dynamically adjusting the stage switching threshold based on the deviation coefficient between the actual and predicted attenuation rates, the drainage stage switching adaptively matches the heterogeneous consolidation rate of the soil; in the three-dimensional vacuum stage, a three-parameter coupling criterion of pore water pressure recovery ratio, drainage board flow recovery rate, and vacuum attenuation gradient is introduced to dynamically determine the intermittent period, synchronizing the vacuum start-up and shutdown rhythm with the redistribution of moisture within the soil; further, a comprehensive drainage system is established by introducing drainage depth factors, consolidation degree contribution factors, and time discount factors. A water-energy consumption ratio evaluation model is used to automatically allocate vacuum resources from inefficient areas to efficient areas and automatically reduce the total power of vacuum pumps when the global energy consumption ratio continues to decline. A dual-criteria diagnosis based on the comprehensive drainage energy consumption ratio and water content accurately distinguishes between siltation and consolidation completion, triggering alternating vacuum-pressure pulses for active unblocking. Inefficient branches are closed based on the comprehensive drainage energy consumption ratio distribution, and efficient branches are connected in series to form priority drainage channels. A hydraulic gradient self-optimization algorithm is used to dynamically reconstruct the pipe network topology. Each drainage management unit is equipped with an edge controller that operates autonomously based on a pre-set emergency strategy during communication interruptions, ensuring system reliability. These technical solutions achieve adaptive matching of drainage strategies to soil conditions and efficient utilization of vacuum resources during the drainage and consolidation process of dredged sludge dumps, improving drainage efficiency and energy saving levels.

[0080] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0081] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods of various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0082] The above description is only a part of the embodiments of the present invention and does not limit the scope of protection of the present invention. Any equivalent device or equivalent process transformation made based on the content of the present invention specification and drawings, or direct or indirect application in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A multi-directional intelligent self-weight-vacuum combined drainage consolidation control method for dredged sludge, characterized in that, include: Acquire the initial water content and liquid limit data of each drainage management unit, establish a water content trend prediction model based on Terzaghi one-dimensional consolidation theory or hyperbolic exponential decay model, and generate water content-time decay prediction curves. Based on the real-time water content and predicted trend, a phased adaptive drainage scheduling is performed. The phase switching threshold is dynamically adjusted based on the deviation coefficient between the actual attenuation rate and the predicted attenuation rate. This includes entering the pure gravity drainage stage when the water content is higher than the adaptive threshold one, entering the gravity and low-pressure vacuum assisted stage when the water content is between the adaptive threshold one and the adaptive threshold two, and entering the three-dimensional vacuum stage when the water content is lower than the adaptive threshold two. In the three-dimensional vacuum stage, multi-parameter dynamic intermittent vacuum control is performed, and the intermittent period is determined based on the coupling criterion of three parameters: pore water pressure recovery ratio, drainage plate flow recovery rate, and vacuum degree attenuation gradient. Simultaneously execute micro-optimization based on multi-dimensional drainage energy consumption ratio, introduce drainage depth factor, consolidation degree contribution factor and time discount factor to establish a comprehensive drainage energy consumption ratio evaluation model, automatically allocate vacuum resources from inefficient area to efficient area, and automatically reduce the total power of vacuum pump when the global energy consumption ratio continues to decrease. The system performs intelligent diagnosis and adaptive dredging for blockages. When the comprehensive drainage energy consumption ratio of a branch is lower than the global average, it performs dual-criteria diagnosis based on the water content status. After blockage is determined, it triggers vacuum-pressure alternating pulse dredging. Perform dynamic reconfiguration of the multi-directional pipe network topology, adjust the opening of each branch's electrically controlled valves according to the distribution of the comprehensive drainage energy consumption ratio, close inefficient branches and connect high-efficiency branches in series to form a priority drainage channel; Each drainage management unit is equipped with an edge controller, which performs trend prediction and basic scheduling locally. When communication is normal, it reports its status to the central control system and receives global instructions. When communication is interrupted, it operates autonomously based on a preset emergency strategy. Drainage is terminated based on the overall drainage status.

2. The method for controlling the consolidation of dredged sludge using a multi-directional intelligent self-weight-vacuum combined drainage system according to claim 1, characterized in that, Acquire initial water cut and liquid limit data for each drainage management unit, establish a water cut trend prediction model based on Terzaghi one-dimensional consolidation theory or hyperbolic exponential decay model, and generate water cut-time decay prediction curves, including: After the dredging is completed, the condition monitoring network is activated to obtain the initial moisture content and liquid limit data of each zone and establish a moisture content benchmark. The initial moisture content ratio of each zone is calculated based on the initial moisture content and liquid limit data. The initial moisture content ratio is the ratio of the initial moisture content to the liquid limit, which serves as a reference value for phase switching. The storage yard is divided into several drainage management units according to a planar grid. Each drainage management unit is equipped with an independent monitoring and control channel. The drainage management unit corresponds one-to-one with the moisture content monitoring and vacuum control in the subsequent phased drainage scheduling. Based on Terzaghi's one-dimensional consolidation theory or hyperbolic exponential decay model, the water content-time decay prediction curves of each drainage management unit are established. The prediction curves reflect the theoretical trend of water content decay over time. The water content of each drainage management unit is collected in real time and compared with the predicted curve to obtain actual attenuation data; Calculate the deviation coefficient between the actual attenuation rate and the predicted attenuation rate. The deviation coefficient reflects the degree of deviation between the actual drainage rate and the theoretical trend. When the deviation coefficient is greater than the set positive value, it is determined that the actual attenuation rate is higher than the predicted value. The stage switching threshold is increased to make full use of the drainage efficiency of the current stage and avoid entering the next stage too early. When the deviation coefficient is less than the set negative value, it is determined that the actual attenuation rate is lower than the predicted value. The stage switching threshold is reduced to enter the next stage in advance to prevent the drainage efficiency attenuation period from continuing to operate. The threshold adjustment amount is calculated by weighting the absolute value of the deviation coefficient and the liquid limit correction coefficient. The liquid limit correction coefficient is used to correct the influence of soil properties on the consolidation rate, and the adjusted threshold is sent to the edge controller of each drainage management unit.

3. The method for controlling the consolidation of dredged sludge using a multi-directional intelligent self-weight-vacuum combined drainage system according to claim 1, characterized in that, The stage switching threshold is dynamically adjusted based on the deviation coefficient between the actual attenuation rate and the predicted attenuation rate. This includes entering the pure gravity drainage stage when the water content is higher than the adaptive threshold one; entering the gravity and low-pressure vacuum assisted stage when the water content is between the adaptive threshold one and the adaptive threshold two; and entering the three-dimensional vacuum stage when the water content is lower than the adaptive threshold two. Real-time data collection of water content in each drainage management unit and comparison with predicted trends are used to obtain the current water content status. The stage switching threshold is dynamically adjusted based on the deviation coefficient between the actual attenuation rate and the predicted attenuation rate, so that the threshold changes adaptively with the soil consolidation rate. When the moisture content is higher than the adaptive threshold, the pure gravity drainage stage is entered. The relationship between the elevation of the external drainage outlet and the elevation of the bottom of the storage yard is checked. Under gravity flow conditions, the bottom gate is opened and all vacuum pumps are closed. The water is discharged by gravity through the bottom drainage layer and the lateral radial pipe. Under conditions where gravity flow is not possible, the bottom low-pressure vacuum is activated, and the vacuum level is gradually increased from the low vacuum level to the target vacuum level. Negative pressure is applied to simulate gravity flow conditions to drive the water out. The target vacuum level is lower than the vacuum level required for conventional vacuum drainage. When the water content is between adaptive threshold one and adaptive threshold two, it enters the self-weight and low-pressure vacuum assisted stage, keeping the bottom drainage channel open, and the water is discharged through the bottom drainage layer. Real-time monitoring of bottom drainage flow rate; when the drainage flow rate is lower than the threshold, it is determined that the efficiency has decreased, and a lateral low-pressure vacuum is activated to assist in the discharge of water in the middle of the soil. The low-pressure vacuum degree is lower than the vacuum degree of the three-dimensional vacuum stage. The top vacuum is kept closed to avoid increasing energy consumption and excessive shallow dehydration caused by introducing a top vacuum. When the moisture content is lower than the adaptive threshold of 2, the three-dimensional vacuum stage is entered. The bottom drainage channel is closed, the self-weight drainage is stopped, and the multi-directional vacuum is started. At the same time, the bottom vacuum, the side vacuum and the top vacuum are activated to form a three-dimensional vacuum field to drain the soil in all directions.

4. The method for controlling the consolidation of dredged sludge using a multi-directional intelligent self-weight-vacuum combined drainage system according to claim 1, characterized in that, In the three-dimensional vacuum stage, multi-parameter dynamic intermittent vacuum control is implemented. The intermittent period is determined based on a coupled criterion of three parameters: pore water pressure recovery ratio, drainage plate flow recovery rate, and vacuum attenuation gradient. This includes: During the three-dimensional vacuum stage of operation, negative pressure is applied to drain water, forming a three-dimensional vacuum field to drain the soil in all directions. During the shutdown period, soil pore water pressure data are collected in real time, and the ratio of the current pore water pressure to the initial pore water pressure is calculated as the pore water pressure recovery ratio. During the shutdown period, the flow rate data of the drainage board outlet is collected in real time, and the flow rate change rate per unit time is calculated as the drainage board flow recovery rate. During the shutdown period, the vacuum degree decay gradient is monitored in real time to obtain the decay rate of vacuum degree over time; The intermittent period is determined by a coupled criterion based on three parameters: pore water pressure recovery ratio, drainage board flow recovery rate, and vacuum attenuation gradient. The coupled criterion reflects the sufficiency of water redistribution during the shutdown period. When the pore water pressure recovery ratio is greater than the recovery ratio threshold, the drainage board flow recovery rate is greater than the recovery rate threshold, and the vacuum degree decay gradient is less than the decay gradient threshold, it is determined that the three parameters simultaneously meet the set conditions. During the stop period, the water redistribution is sufficient, the infiltration path is restored, and the negative pressure drainage is restarted. When the pore water pressure recovery ratio is not greater than the recovery ratio threshold, the drainage board flow recovery rate is not greater than the recovery rate threshold, or the vacuum degree attenuation gradient is not less than the attenuation gradient threshold, it is determined that any parameter does not meet the set conditions, and the stop period is extended until all three parameters meet the set conditions simultaneously. Upon startup, the system determines whether the vacuum level has recovered to a set threshold. Once the vacuum level has recovered to the set threshold, the system initiates multi-directional vacuum drainage.

5. The method for controlling the consolidation of dredged sludge using a multi-directional intelligent self-weight-vacuum combined drainage system according to claim 1, characterized in that, A comprehensive drainage energy consumption ratio evaluation model is established by introducing drainage depth factor, consolidation degree contribution factor, and time discount factor. This model automatically allocates vacuum resources from inefficient to efficient regions and automatically reduces the total power of the vacuum pump when the global energy consumption ratio continues to decrease. This includes: A comprehensive drainage energy consumption ratio evaluation model is established by introducing drainage depth factor, consolidation degree contribution factor and time discount factor. The comprehensive drainage energy consumption ratio is the product of drainage flow rate and drainage depth factor and consolidation degree contribution factor divided by the product of vacuum pump power and time discount factor. Real-time collection of drainage flow rate and corresponding vacuum pump power data for each branch; Real-time calculation of the comprehensive drainage energy consumption ratio of each branch. The comprehensive drainage energy consumption ratio reflects the actual drainage efficiency per unit of energy consumption under the contribution of a specific drainage depth and degree of consolidation. Branches with a comprehensive drainage energy consumption ratio lower than the global average are identified as inefficient areas, and the vacuum resources in inefficient areas are automatically allocated to efficient areas with a comprehensive drainage energy consumption ratio higher than the global average. When the comprehensive drainage energy consumption ratio of a branch is higher than the global average, the branch is judged to have high drainage efficiency, and the vacuum degree of the corresponding branch is increased to make full use of the high-efficiency drainage capacity. Continuously monitor the changing trend of the comprehensive drainage energy consumption ratio of each branch road, and record the time series data of the comprehensive drainage energy consumption ratio of each branch road; When the overall drainage energy consumption ratio of all operating branches shows a continuous downward trend and the duration of the decline exceeds the preset duration, it is determined that the overall drainage of the storage yard is coming to an end. The power reduction is calculated based on the rate of decrease in the overall drainage energy consumption ratio, and the total power of the vacuum pump is automatically reduced to a power level that matches the current drainage demand, thus avoiding ineffective drainage with high energy consumption and low output.

6. The method for controlling the consolidation of dredged sludge using a multi-directional intelligent self-weight-vacuum combined drainage system according to claim 1, characterized in that, The system performs intelligent clogging diagnosis and adaptive dredging. When the comprehensive drainage energy consumption ratio of a branch is lower than the global average, it performs dual-criteria diagnosis based on the water content. After clogging is determined, it triggers vacuum-pressure alternating pulse dredging, including: Real-time calculation of the comprehensive drainage energy consumption ratio of each branch and comparison with the global average to obtain the relative drainage efficiency of each branch; When the comprehensive drainage energy consumption ratio of the branch is lower than the global average, the real-time water content of the corresponding drainage management unit is obtained, and a dual-criteria diagnosis is performed in combination with the water content status. When the real-time moisture content remains unchanged or increases, it is determined that the drainage board is clogged. The clogged drainage channel is blocked, which reduces the drainage efficiency. Trigger the vacuum-pressure alternating pulse unblocking procedure, first shut down the corresponding branch vacuum pump and switch to pressure mode, cut off the vacuum path and establish the pressure path; Apply a reverse air pressure pulse to the drainage plate to loosen the blockage particles around the drainage plate. The direction of the air pressure pulse is opposite to the direction of vacuum suction, and the air pressure thrust is used to destroy the blockage structure. Switch back to vacuum mode to restore vacuum suction and discharge the loosened particles with the water flow. Use vacuum negative pressure to remove the loosened particles from the drain plate. Repeat the alternating cycle of air pressure pulse and vacuum suction, and check the drainage flow recovery rate after each cycle; When the drainage flow recovery rate is greater than the preset recovery threshold and the overall drainage energy consumption ratio rises to a set ratio higher than the global average, the dredging is determined to be completed, the alternating cycle is exited, and the normal vacuum drainage of the corresponding branch is restored. When the real-time moisture content continues to decrease, it is determined that the corresponding area has completed consolidation rather than blockage. The vacuum pump of the corresponding branch is then shut down and the released vacuum pump power is allocated to other branches.

7. The method for controlling the consolidation of dredged sludge using a multi-directional intelligent self-weight-vacuum combined drainage system according to claim 1, characterized in that, Each drainage management unit is equipped with an edge controller, which performs trend prediction and basic scheduling locally. When communication is normal, it reports its status to the central control system and receives global commands. When communication is interrupted, it operates autonomously based on a preset emergency strategy, including: Each drainage management unit is equipped with an edge controller, which integrates a water content sensor, a pore water pressure sensor and a flow sensor to achieve real-time local acquisition of multiple parameters. The edge controller performs local trend prediction, calculates the water content decay trend based on the locally stored water content-time decay prediction model, and predicts the timing of stage switching. The edge controller performs threshold judgment locally, determines the current drainage stage based on the comparison between the real-time water content ratio and the adaptive threshold, and issues control commands to the actuator. The edge controller performs emergency switching locally, automatically switching to a safe operating mode when abnormal operating conditions are detected, including vacuum pump failure or sensor failure. The edge controller performs basic intermittent control locally, and performs intermittent vacuum scheduling based on the locally acquired pore water pressure recovery ratio and drainage plate flow recovery rate during the three-dimensional vacuum phase. When communication is normal, the edge controller periodically reports water content, flow rate, comprehensive drainage energy consumption ratio and pore water pressure status data to the central control system, and receives global scheduling instructions and model parameter updates issued by the central control system. When communication is interrupted, the edge controller operates autonomously based on the locally stored predictive model and pre-set emergency strategy to maintain basic drainage functions until communication is restored. The central control system is responsible for aggregating global data, training and updating the prediction model, and distributing the updated model parameters and stage switching thresholds to each edge controller.

8. The method for controlling the consolidation of dredged sludge using a multi-directional intelligent self-weight-vacuum combined drainage system according to claim 1, characterized in that, Perform dynamic reconfiguration of the multi-directional pipe network topology, adjust the opening degree of each branch's electrically controlled valves according to the overall drainage energy consumption ratio distribution, close inefficient branches and connect high-efficiency branches in series to form a priority drainage channel, including: An electronically controlled valve matrix is ​​configured in each branch, and the electronically controlled valve matrix is ​​controlled by the central control system to realize independent adjustment of the opening degree of each branch and dynamic switching of the connection relationship between branches; The central control system calculates the comprehensive drainage energy consumption ratio of each branch in real time and obtains the real-time drainage efficiency distribution of each branch. The drainage efficiency distribution reflects the contribution of each branch to the overall drainage. The opening degree of each branch's electrically controlled valve is dynamically adjusted according to the distribution of the comprehensive drainage energy consumption ratio. The valve opening degree of the high-efficiency branch is increased to improve the vacuum energy transfer efficiency, and the valve opening degree of the low-efficiency branch is reduced to limit the waste of vacuum energy. Close inefficient branches with a comprehensive drainage energy consumption ratio below a set threshold to prevent vacuum energy from being wasted in ineffective drainage areas and redistribute the released vacuum energy to efficient branches. The efficient branch lines are connected in series to form a priority drainage channel. The priority drainage channel allows vacuum energy to be transferred along the optimal path to the area with the highest drainage efficiency. The series connection order of the priority drainage channels is determined according to the overall drainage energy consumption ratio. The pressure distribution of each node is adjusted by the hydraulic gradient self-optimization algorithm. The hydraulic gradient self-optimization algorithm iteratively calculates the optimal pressure distribution scheme based on the pipeline topology and the resistance characteristics of each branch, so that the pressure of each node matches the resistance of the branch. By concentrating vacuum energy in the area with the highest drainage efficiency, overall drainage efficiency is improved and overall energy consumption is reduced, achieving the optimal global allocation of vacuum resources at the pipeline network level.

9. The method for controlling the consolidation of dredged sludge using a multi-directional intelligent self-weight-vacuum combined drainage system according to claim 1, characterized in that, Drainage is terminated based on the overall drainage status, including: Real-time monitoring of the moisture content of each drainage management unit, obtaining comparison data between the current moisture content and the initial moisture content, and calculating the attenuation ratio of the current moisture content relative to the initial moisture content; Real-time monitoring of drainage flow in each drainage management unit, obtaining comparison data between current drainage flow and initial drainage flow, and calculating the attenuation ratio of current drainage flow relative to initial drainage flow; Drainage is considered complete when the water content of all drainage management units is lower than the set termination threshold and the drainage flow rate is less than the set proportion of the initial drainage flow rate. Once drainage is deemed complete, the central control system issues a termination command to each actuator, gradually stopping the drainage operations of each drainage management unit. Automatically stop all vacuum pumps, and sequentially shut down the bottom vacuum pump group, side vacuum pump group and top vacuum pump group of the variable frequency vacuum pumping system, with the stopping sequence being the reverse of the starting sequence; Close all electrically controlled valves, cut off the vacuum path and gravity drainage path of the multi-directional drainage network, and ensure that the storage yard is sealed to prevent external water from flowing back in. The central control system sends out a processing completion signal, records the final drainage data, and archives the consolidation status information of each drainage management unit. The consolidation status information includes the final water content, final drainage flow rate, and the change curve of the comprehensive drainage energy consumption ratio. Archived data is uploaded to the database of the central control system for long-term storage. Based on historical data, the parameter configuration and scheduling strategy for subsequent yard drainage consolidation are optimized. The parameter configuration includes stage switching thresholds and intermittent period parameters, and the scheduling strategy includes the execution logic of staged drainage scheduling and micro-optimization.

10. A multi-directional intelligent self-weight-vacuum combined drainage and consolidation system for dredged sludge, characterized in that, The system for performing the method according to any one of claims 1 to 9, the system comprising: The multi-directional drainage network, consisting of a bottom drainage layer, lateral radial drainage pipes, and a top vacuum covering layer, is laid in the dredged sludge stockpile to form a three-dimensional drainage channel. The variable frequency vacuum pumping system includes a bottom vacuum pump group, a side vacuum pump group and a top vacuum pump group. Each vacuum pump group is connected to the corresponding drainage layer of the multi-directional drainage network and is used to independently adjust the vacuum level in each direction according to the staged drainage scheduling. The gravity-fed drainage module includes a bottom gate and an external drainage channel. The bottom gate is located between the bottom drainage layer and the external drainage channel and is used to open during the pure gravity drainage stage to achieve zero-energy drainage. An electronically controlled valve matrix is ​​configured in each branch to dynamically adjust the opening degree of each branch and the connection relationship between branches according to the distribution of the comprehensive drainage energy consumption ratio. The energy consumption monitoring module is connected to each branch and is used to collect the drainage flow rate and corresponding vacuum pump power data of each branch in real time, and calculate the comprehensive drainage energy consumption ratio of each branch. The status monitoring network is deployed in each drainage management unit and includes water content sensors, pore water pressure sensors and flow sensors to collect water content data, pore water pressure data and drainage board flow data in each drainage management unit in real time. Edge controllers, configured in each drainage management unit, are used to perform trend prediction, threshold judgment, emergency switching and basic intermittent control locally, and operate autonomously based on preset emergency strategies when communication is interrupted; The central control system is connected to the variable frequency vacuum pumping system, the gravity-fed drainage module, the electronically controlled valve matrix, the energy consumption monitoring module, the status monitoring network, and the edge controller. It is used to perform phased drainage scheduling based on the water content data, perform micro-optimization and pipeline topology reconstruction based on the comprehensive drainage energy consumption ratio, and automatically reduce the total power of the vacuum pump when the global energy consumption ratio continues to decrease.

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