Digital prefabricated pump station and digital control system

Abstract

The invention relates to the technical field of digital control, and provides a digital prefabricated pump station and a digital control system.Perception data of liquid level height, pressure difference, pump set flow, blockage displacement and pipeline vibration are obtained through a perception judgment module, abnormal working conditions are comprehensively judged, limitation of parameter judgment is overcome, and a reliable basis is provided for follow-up control; the pump-valve cooperation module dynamically adjusts the opening degree of a valve through multiple parameters, optimizes the expansion amount of flexible connection in combination with pipeline vibration and blocking displacement, and cooperatively adjusts the rotating speed of a pump set based on the liquid level height, the flow of the pump set and the blocking displacement, so that linkage control over the pump, the valve and the pipeline is achieved. The energy efficiency optimization module achieves accurate prediction of the liquid level through long and short term memory network processing, optimizes the valve opening degree and the pump set rotating speed by combining a particle swarm optimization algorithm and taking pump efficiency maximization as a target, dynamically generates an optimized pump stopping liquid level, and meanwhile adjusts network parameters through deviation feedback of a predicted value and an optimized value to form a continuously optimized closed loop.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of digital control, in particular to a digital prefabricated pump station and a digital control system. BACKGROUND

[0002] As a key equipment for integrated sewage treatment and rainwater discharge, the digital prefabricated pump station has gradually developed from the early concrete pouring structure to the new generation of modular prefabrication and intelligent integration. In the prior art, the control mode of the prefabricated pump station has experienced the evolution from manual control, semi-automatic control to preliminary automatic control. The manual control relies on manual inspection and operation, which is low in efficiency and slow in response. The semi-automatic control realizes the start and stop of the pump set through a simple liquid level sensor, but can only realize the rough control of a single parameter. The preliminary automatic control introduces pressure and flow sensors, which can simply adjust the pump set speed and valve opening, but the control logic is mostly single parameter feedback, lacking multi-parameter collaborative analysis.

[0003] In recent years, with the development of Internet of Things and industrial control technology, some prefabricated pump stations have begun to introduce digital technology, collect operation data through a sensor network, and realize basic automatic control combined with PLC, which has improved the operation stability to a certain extent. Although the automation level of the prefabricated pump station has been improved, there are still the following limitations in actual application, including that the existing system mostly only collects core parameters such as liquid level and flow, pays insufficient attention to parameters reflecting the equipment health state such as pipeline vibration and blockage displacement, relies on single parameter threshold comparison for abnormal condition judgment, does not consider the correlation between parameters, resulting in high false and missed judgment rates.

[0004] The adjustment of the pump set speed and the valve opening is mostly independent control, without forming a multi-parameter collaborative adjustment mechanism. The soft connection expansion adjustment only relies on a single parameter of vibration, without considering the cumulative effect of blockage displacement, which easily leads to pipeline stress concentration or equipment wear and tear. At the same time, the pump stop liquid level setting of the existing system is mostly a fixed value, without considering the influence of the dynamic characteristics of liquid level fluctuation and environmental factors such as rainfall, which leads to frequent start and stop of the pump set or high energy consumption. The pump efficiency judgment is only based on the theoretical head, without dynamic correction combined with the actual pipeline flow resistance and medium properties, and the energy efficiency optimization lacks data support and algorithm driving.

[0005] In view of the deficiencies of the prior art, the technical problem to be solved by the present application is how to realize multi-parameter collaborative control and dynamic optimization of the digital prefabricated pump station through collaborative analysis of multi-sensing data to reduce energy consumption. SUMMARY

[0006] In view of the deficiencies of the prior art, the present application provides a digital prefabricated pump station and a digital control system.

[0007] In a first aspect, the present application provides a digital control system for a digital prefabricated pump station, the system comprising: a perception and judgment module, a pump-valve coordination module, and an energy efficiency optimization module;

[0008] The perception and judgment module is used to obtain perception data including liquid level height, pressure difference, pump group flow, blockage displacement and pipeline vibration through the digital prefabricated pump station, analyze the perception data and judge abnormal operating conditions to generate graded pump start and stop instructions, and output the liquid level fluctuation frequency and fluctuation amplitude;

[0009] The pump-valve coordination module is used to parse the graded pump start-stop instructions to execute pump-valve control, including dynamically adjusting the valve opening based on the liquid level, pressure difference, and pump group flow rate; adjusting the expansion and contraction of the flexible connection based on pipeline vibration and blockage displacement; dynamically adjusting the pump group speed based on the liquid level, pump group flow rate, and blockage displacement; and determining the pipeline flow resistance based on the valve opening, pipeline parameters, and medium properties;

[0010] The energy efficiency optimization module is used to determine the real-time liquid level changes based on the liquid level fluctuation frequency and amplitude. It processes historical liquid level changes, real-time liquid level changes, and rainfall data through a long-short-term memory network, outputs the liquid level prediction value and determines the predicted pump-stop level. It also judges the pump efficiency in real time based on the valve opening and pipeline flow resistance. It optimizes the valve opening and pump group speed through the particle swarm optimization algorithm to generate the optimized pump-stop level. The parameters of the long-short-term memory network are adjusted based on the deviation between the predicted pump-stop level and the optimized pump-stop level.

[0011] As an optional implementation, determining the predicted pump stop liquid level includes:

[0012] Calculate the coupling coefficient of liquid level fluctuation frequency and amplitude, combine the coupling coefficient with the boundary value of the normal liquid level range, and generate real-time liquid level changes that represent the dynamic change trend of the liquid level. The real-time liquid level changes include the liquid level change rate and liquid level change direction;

[0013] The historical liquid level changes are divided into stable segments and fluctuating segments according to the time series, and different time weights are assigned to each segment. At the same time, the historical liquid level changes, real-time liquid level changes and rainfall data are input into the long short-term memory network;

[0014] After processing by the long short-term memory network, the liquid level prediction value is output. The time point when the liquid level first reaches the pump-stop level associated threshold during the liquid level drop is extracted from the liquid level prediction value, and the liquid level prediction value corresponding to the time point is determined as the predicted pump-stop level.

[0015] As an optional implementation, generating the optimized pump stop liquid level includes:

[0016] Dynamically correct the head based on valve opening and pipeline flow resistance, and calculate the pump efficiency in real time based on the pump group flow, dynamically corrected head and motor power;

[0017] Taking pump efficiency maximization as the objective function, valve opening and pump speed are used as optimization variables, and optimization constraints for valve opening and pump speed are set based on pipeline flow resistance and blockage displacement.

[0018] The particle swarm optimization algorithm is used to output the optimized variable combination of valve opening and pump speed. The liquid level change process under this variable combination is simulated, and the cumulative energy consumption of the pump group when the liquid level drops to the pump stop level is recorded. The liquid level height is selected according to the cumulative energy consumption of the pump group to generate the optimized pump stop level.

[0019] As an optional implementation, adjusting the parameters of the long short-term memory network includes:

[0020] Calculate the deviation between the predicted pump stop level and the optimized pump stop level, and determine the magnitude and direction of the deviation based on the deviation;

[0021] Determine the parameter adjustment range of historical liquid level changes, real-time liquid level changes, and rainfall data in the long-short-term memory network based on the deviation size and deviation direction;

[0022] The parameters of the long short-term memory network are adjusted based on the parameter adjustment amplitude, and the adjustment effect is verified after the parameter adjustment and the prediction deviation rate is calculated to determine whether the parameters of the long short-term memory network should be readjusted.

[0023] As an optional implementation, the dynamically adjusting valve opening includes:

[0024] Analyze the valve adjustment in the staged start and stop pump instructions, and determine the valve adjustment direction of the valve opening adjustment based on the liquid level height;

[0025] In the process of adjusting the valve opening, the opening adjustment range of the valve adjustment direction is adjusted in combination with the pressure difference;

[0026] The difference between the obtained pump group flow and the flow required by the pipeline transportation is calculated, and the opening adjustment range after pressure difference adjustment is corrected again according to the flow difference to dynamically adjust the valve opening.

[0027] As an optional implementation manner, adjusting the expansion amount of the soft connection includes:

[0028] Analyze the graded pump start and stop instructions and determine the adjustment trend of the flexible joint expansion and contraction based on the acquired pipeline vibration;

[0029] Extract the acquired blockage displacement and, based on the cumulative displacement of the blockage displacement toward or away from the pump unit, correct the adjustment trend of the expansion and contraction amount of the flexible connection;

[0030] The rate of change of pipeline vibration and blockage displacement is comprehensively considered to determine the adjustment speed of the expansion and contraction of the flexible connection in order to adjust the expansion and contraction of the flexible connection.

[0031] As an optional implementation, the dynamic adjustment of the pump group speed includes:

[0032] Analyze the speed adjustment and pump group quantity adjustment in the staged pump start and stop instructions, and compare the liquid level with the pump stop level to determine the adjustment direction of the pump group speed;

[0033] The obtained pump flow rate is subtracted from the target flow rate to obtain the flow deviation, and the adjustment range of the pump speed is determined based on the flow deviation;

[0034] The adjustment range of the pump group speed is limited based on the blockage displacement. At the same time, if multiple submersible digital pumps are started, the speed of the pump group determined to be the high-load digital pump is limited first.

[0035] As an optional implementation, the acquiring of sensing data through the digital prefabricated pump station includes:

[0036] The ultrasonic level meter transmits ultrasonic pulses and receives liquid level signals to calculate the liquid level height;

[0037] Real-time monitoring of the pressure difference between the front and back of the valve based on the zero-resistance two-way check valve;

[0038] The flow rate of the water outlet is measured by a digital device to calculate the flow rate of the pump unit;

[0039] The displacement of the basket grille on the guide rail is used to characterize the blockage displacement;

[0040] The vibration signal of the pipeline is monitored by a digital device and converted into pipeline vibration.

[0041] As an optional implementation, generating the staged pump start and stop instructions includes:

[0042] Comparing the real-time acquired perception data with the normal operating condition threshold to determine the degree of deviation of the perception data from the normal operating condition threshold;

[0043] Based on the degree of deviation of the perception data from the normal operating condition threshold and the correlation between the perception data, the abnormal operating condition is comprehensively judged;

[0044] The graded pump start-stop instructions are generated based on the judgment results of abnormal working conditions. The graded pump start-stop instructions include valve adjustment, speed adjustment and pump group quantity adjustment.

[0045] In a second aspect, the present application provides a digital prefabricated pump station, which includes: a submersible digital pump, a submersible digital pump group, a basket grille, a guide rail, a zero-resistance two-way check valve, an ultrasonic level gauge, a downward-bend water outlet pipe, a flexible connection, a digital control system, a digital device, and a digital adjustment device;

[0046] The basket grille intercepts debris at the water inlet, and the guide rail provides displacement guidance for the basket grille, monitoring the displacement and converting it into perception data of blockage displacement; the submersible digital pump group and the submersible digital pump control the pump group flow by adjusting the pump group speed; the zero-resistance two-way check valve is installed in the water outlet pipeline, and the pressure difference before and after the valve is monitored in real time to reduce the reverse impact of water flow; the soft connection is used to connect the submersible digital pump group and the water outlet pipeline, and compensate for pipeline vibration and displacement by adjusting the expansion and contraction amount; the ultrasonic liquid level meter is used to transmit and receive ultrasonic pulses to obtain the liquid level height.

[0047] Compared with the existing technology, the beneficial effects of the present application are as follows: the perception judgment module obtains multi-dimensional perception data such as liquid level height, pressure difference, pump group flow, blockage displacement and pipeline vibration, and comprehensively judges abnormal working conditions, overcoming the limitations of single parameter judgment in the existing technology, reducing misjudgment and missed judgment, and providing a reliable basis for subsequent control; the pump valve coordination module dynamically adjusts the valve opening through multiple parameters, optimizes the expansion and contraction of the soft connection based on pipeline vibration and blockage displacement, and coordinately adjusts the pump group speed based on liquid level height, pump group flow and blockage displacement to achieve linkage control of pumps, valves and pipelines, improve system response speed and operation stability, and reduce equipment losses caused by stress concentration or overload; the energy efficiency optimization module integrates historical data, real-time liquid level changes and rainfall data through a long-short-term memory network to achieve accurate liquid level prediction, combines the particle swarm optimization algorithm, optimizes the valve opening and pump group speed with the goal of maximizing pump efficiency, dynamically generates the optimized pump stop level, solves the problem of excessive energy consumption caused by fixed pump stop level, and adjusts the network parameters through feedback of the deviation between the predicted value and the optimized value to form a closed loop of continuous optimization, further reduce operating energy consumption, and improve the economy of the pump station. This application upgrades traditional experience-based control to data-driven intelligent control through full-process digital design of perception, judgment, collaborative control and intelligent optimization, improves the automation level and adaptability of digital prefabricated pump stations, provides technical support for unmanned and remote operation and maintenance, and conforms to the development trend of smart water services. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be derived from these drawings without inventive effort. Among them:

[0049] Figure 1 A system flow chart of a digital control system for a digital prefabricated pump station provided in an embodiment of the present application;

[0050] Figure 2A logic flow chart for determining and predicting a pump stop liquid level in a digital control system of a digital prefabricated pump station provided in an embodiment of the present application;

[0051] Figure 3 A logic flow chart for generating and optimizing a pump stop level for a digital control system of a digital prefabricated pump station provided in an embodiment of the present application;

[0052] Figure 4 This is a structural schematic diagram of a digital prefabricated pump station provided in an embodiment of the present application. DETAILED DESCRIPTION

[0053] In order to make the objectives, technical solutions and advantages of the embodiments of the present application more obvious and easy to understand, the technical solutions in the embodiments of the present application are clearly and completely described below in conjunction with the drawings in the specification. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments.

[0054] Example 1

[0055] like Figure 1 As shown, it is a system flow chart of a digital control system of a digital prefabricated pump station provided in an embodiment of the present application. The system includes a perception and judgment module, a pump-valve coordination module and an energy efficiency optimization module.

[0056] The perception and judgment module is used to obtain perception data including liquid level height, pressure difference, pump group flow, blockage displacement and pipeline vibration through the digital prefabricated pump station, analyze the perception data and judge abnormal working conditions to generate graded pump start and stop instructions, and output the liquid level fluctuation frequency and fluctuation amplitude.

[0057] Furthermore, the sensory data obtained through the digital prefabricated pump station includes:

[0058] The ultrasonic level meter transmits ultrasonic pulses and receives liquid level signals to calculate the liquid level height;

[0059] Real-time monitoring of the pressure difference between the front and back of the valve based on the zero-resistance two-way check valve;

[0060] The flow rate of the water outlet is measured by a digital device to calculate the flow rate of the pump unit;

[0061] The displacement of the basket grille on the guide rail is used to characterize the blockage displacement;

[0062] The vibration signal of the pipeline is monitored by a digital device and converted into pipeline vibration.

[0063] The liquid level height is the core basis for judging whether the pump station needs to start and stop the pump. It needs to be measured accurately to ensure the accuracy of subsequent working condition judgment and instruction generation. An ultrasonic level meter is installed in the water collection pool of the digital prefabricated pump station. The level meter is installed in the exhaust cap at the top of the pool and remains perpendicular to the liquid surface. When working, the ultrasonic level meter emits ultrasonic pulses according to a preset period. The ultrasonic pulses are reflected by the liquid surface and received by the ultrasonic level meter. The liquid level height is obtained by calculating the time difference between pulse emission and reception and combining the propagation speed of ultrasonic waves in the air. The ultrasonic level meter is placed in the exhaust cap to avoid the influence of water vapor and foam in the pool on the measurement. The non-contact measurement method avoids direct contact with the liquid in the pool, reduces corrosion and wear, and extends the service life of the equipment. The anti-fog and anti-foam design improves the stability and accuracy of the measurement, ensuring that reliable liquid level data can still be obtained in a complex pool environment.

[0064] The pressure differential reflects the resistance of the fluid in the pipeline. Combined with the liquid level and pump flow rate, the pump load can be determined, providing a basis for valve adjustment. Pressure sensors are installed at appropriate pipe locations upstream and downstream of the zero-resistance two-way check valve. The selected pipe locations ensure smooth fluid flow, avoiding areas prone to turbulence, such as elbows and reducers. The measurement point must be located on the pipe centerline to obtain accurate pressure values. The pressure sensor collects real-time pressure signals upstream and downstream of the valve and converts them into electrical output signals. After amplification and filtering, the two electrical signals are differentially calculated to calculate the pressure differential upstream and downstream of the valve. To ensure measurement stability, the pressure sensor is regularly calibrated. During calibration, a standard pressure source is used to apply different pressures, and the pressure sensor output is recorded and corrected. The calibration cycle coincides with the pump station maintenance cycle. Accurate pressure differential measurement can promptly reflect changes in fluid resistance in the pipeline, providing a reliable basis for determining the operating status of the pump unit and making valve adjustments, thereby improving the efficiency and stability of the pump station.

[0065] The pump flow rate directly reflects the delivery capacity of the pump group and is an important parameter for judging whether the pump group meets the pipeline delivery requirements and adjusting the pump group speed. An electromagnetic flowmeter is installed as a digital device in the straight pipeline section before the water outlet of the pump station. The measuring pipe section of the electromagnetic flowmeter is coaxially connected to the pipeline to ensure that the fluid flows through the pipe and avoids additional resistance to the fluid flow. The electromagnetic flowmeter calculates the flow rate by measuring the induced electromotive force generated by the fluid in the magnetic field, and then calculates the pump group flow rate based on the cross-sectional area of ​​the pipeline. In order to eliminate the influence of uneven flow velocity distribution in the pipeline, a rectifier device is set upstream of the electromagnetic flowmeter to allow the fluid to enter the measurement area at a stable flow rate. The real-time and accurate pump group flow rate can provide a direct basis for judging whether the pump group meets the pipeline delivery requirements, facilitate timely adjustment of the pump group speed, make the pump group operation more in line with actual needs, and improve energy utilization efficiency.

[0066] The blockage displacement can reflect the blockage degree of the basket grid. When the blockage is serious, the load of the pump set is increased, and the operation state of the pump set needs to be adjusted in time to avoid equipment damage. A displacement sensor is installed on the guide rail on both sides of the basket grid. The displacement sensor is arranged along the length direction of the guide rail and connected with the frame of the basket grid. When the basket grid is blocked due to intercepting rainwater sundries, the sundries are accumulated on the basket grid, and the basket grid will be displaced along the guide rail under the action of the water flow impact force. The displacement sensor records the displacement in real time. The displacement represents the blockage displacement, and the direction of the blockage displacement can be identified, including whether the displacement is close to or away from the digital submersible pump set. Limiting devices are arranged at both ends of the guide rail to prevent the basket grid from being displaced too much and separated from the guide rail, and to ensure the safe operation of the equipment. The blockage displacement can intuitively and timely reflect the blockage degree of the basket grid, so that corresponding measures can be taken at the early stage of blockage, the additional load of the pump set caused by blockage is reduced, the service life of the pump set is prolonged, and the normal operation of the pump station is ensured.

[0067] Excessive pipeline vibration can affect the structural stability of the pump station, and even cause the loosening of the pipeline connection. The blockage displacement can be combined to determine the vibration cause, and provide a basis for adjusting the extension amount of the soft connection. Vibration sensors are installed at positions of the pipeline bends and valves that are prone to vibration. The vibration sensors are fixed on the outer wall of the pipeline by magnetic attraction, which is convenient for installation and maintenance, and ensures that the vibration of the pipeline can be accurately sensed. The vibration sensor converts the mechanical vibration of the pipeline into an electrical signal. After filtering and amplifying the electrical signal, the effective vibration information is extracted and converted into pipeline vibration representing the vibration intensity of the pipeline. In order to comprehensively reflect the pipeline vibration situation, multiple vibration sensors can be installed at different positions to monitor the vibration of the pipeline at multiple points. Real-time monitoring of the pipeline vibration can timely find abnormal conditions in the pipeline operation. In combination with the blockage displacement and other data, the vibration cause can be determined, and the extension amount of the soft connection can be adjusted by taking targeted measures to reduce the influence of vibration on the pipeline and the structure of the pump station, improve the safety and stability of the operation of the pump station, and determine the adjustment trend of the extension amount of the soft connection in the pump valve cooperation module.

[0068] Specifically, generating the hierarchical start-stop pump instruction includes:

[0069] Comparing the real-time acquired sensing data with the normal working condition threshold to determine the deviation degree of the sensing data from the normal working condition threshold;

[0070] Based on the deviation degree of the sensing data from the normal working condition threshold and the correlation between the sensing data, the abnormal working condition is comprehensively judged.

[0071] According to the judgment result of the abnormal working condition, a hierarchical start-stop pump instruction is generated. The hierarchical start-stop pump instruction includes valve adjustment, speed regulation and pump set number adjustment.

[0072] Only by clarifying the deviation of each sensory data from the normal operating condition threshold can a basis be provided for subsequent comprehensive judgment of abnormal operating conditions and the accuracy of abnormal operating condition judgments be ensured. The normal operating condition threshold of each sensory data is preset. This normal operating condition threshold is determined based on the design parameters and historical operating data of the digital prefabricated pump station. The real-time sensory data such as liquid level height, pressure difference, pump group flow, blockage displacement and pipeline vibration are compared with the corresponding normal operating condition threshold. The position of each sensory data within the normal operating condition threshold and the situation where it exceeds the normal operating condition threshold are analyzed. For situations where the normal operating condition threshold is exceeded, the direction and degree of the excess are recorded. For situations where the normal operating condition threshold is within the normal operating condition threshold, attention is paid to whether the sensory data is close to the boundary of the normal operating condition threshold. Through this comparison method, the degree of deviation of each sensory data from the normal operating condition threshold is clarified, providing clear basic data for subsequent comprehensive judgments. Therefore, clarifying the degree of deviation of the sensory data can provide an accurate and specific basis for the comprehensive judgment of abnormal conditions, avoid misjudgment due to data ambiguity, and make subsequent instruction generation more targeted.

[0073] The deviation of a single perception data is caused by accidental factors. Only by comprehensively considering the deviation degree and correlation of multiple data can we more accurately judge abnormal working conditions and reduce misjudgments; analyze the deviation degree of each perception data from the normal working condition threshold, and analyze the correlation between different perception data. For example, when the liquid level height deviates seriously from the normal liquid level range, is it accompanied by a significant change in pressure difference and abnormal pump group flow? When the blockage displacement increases, is there a simultaneous increase in pipeline vibration? Is the pipeline vibration aggravated due to the blockage of the basket grille? According to the preset association rules and judgment criteria, the deviation degree and correlation of each perception data are comprehensively evaluated to determine the type and severity level of the abnormal working condition. The severity levels include minor abnormality, moderate abnormality, severe abnormality and emergency abnormality. Through comprehensive judgment, it can effectively avoid the situation where a single data anomaly is misjudged as an abnormal working condition, improve the accuracy and reliability of abnormal working condition judgment, and provide a correct basis for the subsequent generation of graded instructions.

[0074] Different control strategies are required for abnormal operating conditions of varying severity. Generating graded pump start / stop instructions enables the pump-valve coordination module to more accurately execute pump-valve control actions, ensuring stable operation of the digital prefabricated pump station. Based on the severity of the abnormal condition, corresponding graded pump start / stop instructions are generated. For example, for a minor abnormality, the instructions primarily make small adjustments to the valve opening and pump speed. For a moderate abnormality, the instructions include starting or stopping a standby pump, while also adjusting the valve opening and pump speed accordingly. For a severe abnormality, the instructions involve starting all standby pumps or stopping half of the operating pumps, increasing the adjustment range of the valve opening and pump speed. For an emergency abnormality, the instructions include urgently stopping all pumps and closing the check valves. The graded pump start / stop instructions include specific requirements for valve adjustment, speed adjustment, and the number of pumps. These graded pump start / stop instructions make pump-valve control actions more targeted, avoiding over- or under-control. This ensures stable operation of the pump station while improving energy efficiency and equipment life. The graded pump start / stop instructions are parsed by the pump-valve coordination module and used to execute the corresponding pump-valve control actions, forming the basis for the module's operation.

[0075] It needs to be explained that the interval between the pump start level and the pump stop level is defined as the normal liquid level interval. When the real-time liquid level height is not within the normal liquid level interval, it is determined that a liquid level fluctuation has occurred. When the real-time liquid level height is within the normal liquid level interval but changes sharply, it is also determined that a liquid level fluctuation has occurred. The fluctuation amplitude represents the maximum deviation of the real-time liquid level height from the boundary of the normal liquid level interval or the maximum difference of the sharp change within the normal liquid level interval during the liquid level fluctuation. The liquid level fluctuation frequency represents the number of times the liquid level fluctuation occurs per unit time.

[0076] Liquid level fluctuation is an important feature that reflects the operating status of the pumping station. Only by accurately determining whether liquid level fluctuation occurs can the frequency and amplitude of the fluctuation be further calculated to provide basic data for the energy efficiency optimization module. The real-time liquid level height is compared with the normal liquid level range. If the liquid level height exceeds the normal liquid level range, it is determined that liquid level fluctuation has occurred. If the liquid level height is within the normal liquid level range, the liquid level changes are continuously monitored. However, if the liquid level change in multiple consecutive sampling cycles exceeds the preset sharp change threshold, that is, when a sharp change occurs, it is also determined that liquid level fluctuation has occurred. In this way, whether liquid level fluctuation occurs can be comprehensively and accurately determined, which can provide a reliable basis for the subsequent calculation of the fluctuation frequency and amplitude, and ensure that the data provided to the energy efficiency optimization module truly reflects the dynamic changes of the liquid level.

[0077] The fluctuation amplitude reflects the severity of liquid level fluctuations and is an important indicator for judging the operational stability of the pumping station. It also provides a basis for the energy efficiency optimization module to determine real-time liquid level changes. For situations where the liquid level height exceeds the normal liquid level range, the liquid level changes are continuously tracked, and the maximum deviation between the real-time liquid level height and the boundary of the normal liquid level range is calculated. This deviation is the fluctuation amplitude. For situations where the liquid level height is within the normal liquid level range but undergoes a sharp change, the maximum difference in the liquid level during the sharp change is calculated as the fluctuation amplitude. At the same time, during the calculation process, the obtained liquid level height is screened to remove obvious outliers and ensure the accuracy of the fluctuation amplitude. Accurately calculating the fluctuation amplitude can provide the energy efficiency optimization module with key data reflecting the severity of liquid level fluctuations, helping the energy efficiency optimization module to more accurately determine real-time liquid level changes and provide support for subsequent liquid level prediction and optimization control.

[0078] The liquid level fluctuation frequency reflects the frequency of liquid level fluctuations per unit time, and together with the fluctuation amplitude, reflects the dynamic change characteristics of the liquid level, providing a basis for the liquid level prediction of the energy efficiency optimization module. A fixed statistical period is set, and the number of liquid level fluctuations occurring is counted within the statistical period. When counting, for consecutive liquid level fluctuations, if the interval between liquid level fluctuations is less than the preset interval threshold, it is considered as one fluctuation. If the interval is greater than the preset interval threshold, it is considered as multiple fluctuations. The number of liquid level fluctuations obtained by counting is divided by the length of the statistical period to obtain the liquid level fluctuation frequency. The statistical period can be adjusted according to the operation of the pump station. For example, the statistical period can be shortened under special working conditions such as rainfall to better reflect the actual fluctuation situation. The calculated liquid level fluctuation frequency can reflect the frequency of liquid level fluctuations per unit time. Combined with the fluctuation amplitude, it can fully reflect the dynamic change characteristics of the liquid level, providing a richer basis for the energy efficiency optimization module to perform liquid level prediction and improving the accuracy of the prediction. The liquid level fluctuation frequency and fluctuation amplitude will be used to determine the real-time liquid level changes and are an important component of the long short-term memory network data processing.

[0079] The pump-valve collaboration module is used to parse graded pump start-stop instructions to execute pump-valve control, including dynamically adjusting the valve opening based on the liquid level, pressure difference and pump group flow, adjusting the expansion and contraction of the soft connection based on pipeline vibration and blockage displacement, dynamically adjusting the pump group speed according to the liquid level, pump group flow and blockage displacement, and determining the pipeline flow resistance based on the valve opening, pipeline parameters and medium properties.

[0080] Furthermore, dynamically adjusting the valve opening includes:

[0081] Analyze the valve adjustment in the staged start and stop pump instructions, and determine the valve adjustment direction of the valve opening adjustment based on the liquid level height;

[0082] In the process of adjusting the valve opening, the opening adjustment range of the valve adjustment direction is adjusted in combination with the pressure difference;

[0083] The difference between the obtained pump group flow and the flow required by the pipeline transportation is calculated, and the opening adjustment range after pressure difference adjustment is corrected again according to the flow difference to dynamically adjust the valve opening.

[0084] The staged pump start / stop commands contain the core requirements for valve regulation. The adjustment direction must be clearly defined to ensure that subsequent actions meet the control objectives and avoid exacerbated liquid level fluctuations due to incorrect directions. After receiving the staged pump start / stop commands output by the perception and judgment module, the system parses them and extracts information related to valve regulation, such as valve opening and closing trend indicators. The system also uses the liquid level height transmitted in real time by the perception and judgment module and compares it with the normal liquid level range. If the liquid level is above the upper limit of the normal range, the pump is started. Combined with the implicit requirement of valve regulation to lower the liquid level, the valve adjustment direction is determined to increase the opening. If the liquid level is below the lower limit of the normal range, the pump is stopped. Combined with the requirement to increase the liquid level, the valve adjustment direction is determined to decrease the opening. A command verification mechanism is implemented during the parsing process. If the staged pump start / stop command conflicts with the liquid level status, such as a valve closing command when the liquid level is too high, an alarm is triggered and the direction is determined based on the liquid level status. This dual verification ensures the accuracy of the valve adjustment direction, avoids misoperation caused by relying solely on commands, and lays a correct foundation for subsequent amplitude adjustments.

[0085] The pressure difference reflects the fluid resistance in the pipeline. Under the same liquid level deviation, different fluid resistances require different opening adjustment amplitudes. Determining the valve adjustment direction based solely on the liquid level height cannot meet the needs of precise control. After determining the adjustment direction, the real-time monitored pressure difference is called and compared with the preset normal pressure difference range. If the pressure difference is greater than the normal pressure difference range, it indicates that the pipeline resistance is large. The opening adjustment amplitude is increased in the current valve adjustment direction to quickly reduce the fluid resistance. If the pressure difference is less than the normal pressure difference range, it indicates that the pipeline resistance is small. The opening adjustment amplitude is reduced in the current valve adjustment direction to avoid a sudden pressure drop due to excessive adjustment. The adjustment amplitude is adjusted using a preset pressure amplitude correction table. This pressure amplitude correction table is pre-calibrated based on the pump station pipeline characteristics and covers the correction ratios corresponding to different pressure difference ranges. Therefore, the pressure difference is introduced as the basis for correcting the opening adjustment amplitude, so that the valve adjustment is more in line with the actual pipeline resistance state and avoids liquid level oscillation or adjustment lag caused by one-size-fits-all adjustment.

[0086] The matching degree between the pump flow rate and pipeline transportation demand directly affects the regulation effect. Considering only the pressure difference will ignore the imbalance between flow supply and demand, necessitating a secondary correction using the flow difference. The difference between the obtained pump flow rate and the designed pipeline transportation demand is calculated. If the flow difference is positive, meaning the pump flow rate exceeds the pipeline transportation demand, indicating excess transportation capacity, the opening adjustment range is further reduced based on the pressure difference-adjusted opening adjustment range. If the flow difference is negative, meaning the pump flow rate is less than the pipeline transportation demand, indicating insufficient transportation capacity, the adjustment range is further increased. An upper limit is set for the opening adjustment range during the correction process to prevent water hammer caused by sudden changes in pump flow rate. This secondary correction of the flow difference enables coordinated adjustment of multiple parameters: liquid level, pressure difference, and pump flow rate. This ensures that the valve opening meets the liquid level control target while matching the actual pump delivery capacity, reducing energy waste. The final opening adjustment range is directly used for the operation of the valve actuator. Its accuracy determines the stability of liquid level control and also affects the calculation basis of pipeline flow resistance.

[0087] Furthermore, adjusting the expansion and contraction of the soft link includes:

[0088] Analyze the graded pump start and stop instructions and determine the adjustment trend of the flexible joint expansion and contraction based on the acquired pipeline vibration;

[0089] Extract the acquired blockage displacement and, based on the cumulative displacement of the blockage displacement toward or away from the pump unit, correct the adjustment trend of the expansion and contraction amount of the flexible connection;

[0090] The rate of change of pipeline vibration and blockage displacement is comprehensively considered to determine the adjustment speed of the expansion and contraction of the flexible connection in order to adjust the expansion and contraction of the flexible connection.

[0091] The graded pump start-stop instructions include requirements for equipment operational stability. Pipeline vibration is the core trigger for soft connection adjustment. The adjustment trend must first be determined based on pipeline vibration to quickly respond to equipment protection needs. The graded pump start-stop instructions are analyzed for content related to equipment protection, such as the implicit requirements for vibration suppression and displacement compensation. At the same time, the real-time pipeline vibration is called and compared with the preset safety vibration threshold. If the pipeline vibration is greater than the safety vibration threshold, the adjustment trend of the soft connection's expansion and contraction is determined to be increasing, that is, the vibration energy is absorbed by increasing the expansion and contraction. If the pipeline vibration is less than the safety vibration threshold, the basic trend is determined to be decreasing, that is, the rigid connection of the pipeline is ensured by reducing the expansion and contraction. The frequency characteristics of the vibration are synchronously recorded during the analysis. If it is high-frequency vibration, it is caused by the resonance of the pump group, and a mark is added to the adjustment trend to prioritize rapid adjustment. Therefore, the adjustment trend is determined based on pipeline vibration as the core basis, and measures can be taken directly to address equipment vibration risks. The high-frequency vibration mark ensures the response speed in emergency situations and initially guarantees the safety of the pipeline structure.

[0092] The displacement of the blockage causes the pipeline to be forced to deviate, and only adjusting according to the vibration will cause the expansion direction of the flexible connection to conflict with the displacement compensation demand, so the displacement direction needs to be corrected to take into account the vibration suppression and displacement compensation; the real-time acquired blockage displacement is extracted, and the accumulated displacement amount of the blockage displacement to the direction close to the pump set or the direction away from the pump set is analyzed; if the blockage displacement accumulates to the direction close to the pump set, that is, the pipeline has a tendency to be pushed towards the pump set, when the adjustment trend is to increase the expansion amount, the expansion direction is biased to the direction away from the pump set; if the blockage displacement accumulates to the direction away from the pump set, when the adjustment trend is to increase the expansion amount, the expansion direction is biased to the direction close to the pump set; if the adjustment trend is to reduce the expansion amount, according to the size of the accumulated displacement amount, part of the expansion amount is appropriately reserved to cope with the potential displacement impact; thus, the adjustment trend is corrected in combination with the direction of the blockage displacement, so that the flexible connection can not only absorb the vibration, but also compensate for the displacement of the pipeline caused by the blockage, thereby avoiding the stress concentration at the pipeline connection caused by single vibration adjustment.

[0093] The change rate of the pipeline vibration and the blockage displacement reflects the risk escalation speed, and the adjustment speed that is too slow will cause risk accumulation, and the adjustment speed that is too fast will cause new vibration, so the change rate needs to be dynamically matched to balance safety and stability; the change rate of the pipeline vibration and the change rate of the blockage displacement are calculated, wherein the change rate of the pipeline vibration guarantees the increment of the pipeline vibration per unit time, and the change rate of the blockage displacement represents the increment of the accumulated displacement per unit time; if both change rates exceed the preset change rate threshold, the adjustment speed of the expansion amount of the flexible connection is set to high speed; if only one of them exceeds the preset change rate threshold, it is set to medium speed; if neither of them exceeds the preset change rate threshold, the adjustment speed is set to low speed; in the adjustment process, the actual expansion amount of the flexible connection is monitored in real time through the displacement sensor, and when the target value is approached, the speed is automatically reduced to avoid overshoot; thus, the adjustment speed is dynamically determined according to the risk escalation speed, which can quickly control the risk in an emergency and ensure the adjustment accuracy in a stable working condition, thereby reducing the secondary vibration caused by the action being too fast; the expansion amount of the adjusted flexible connection directly affects the stability of the pipeline, and the state data thereof will be fed back to the perception judgment module as a reference basis for subsequent abnormal working condition judgment.

[0094] Specifically, the dynamic adjustment of the pump set speed includes:

[0095] The speed adjustment and the number of pump sets in the hierarchical start-stop pump instruction are analyzed, and the liquid level height is compared with the pump stop liquid level to determine the adjustment direction of the pump set speed;

[0096] The pump set flow obtained is subtracted from the target flow to obtain a flow deviation, and the adjustment amplitude of the pump set speed is determined based on the flow deviation;

[0097] The adjustment amplitude of the pump set speed is limited based on the blockage displacement, and if multiple submersible digital pumps have been started, the pump set speed of the digital pump judged as high load is preferentially limited.

[0098] The speed regulation and pump group quantity regulation in the graded start-stop pump instruction are directly related to the liquid level control target. The adjustment direction needs to be clarified in combination with the relationship between the liquid level and the pump stop level to ensure that the speed change meets the liquid level control requirements; analyze the speed-related content and pump group quantity adjustment requirements in the graded start-stop pump instruction, where the speed-related content includes speed increase and deceleration, and the pump group quantity adjustment requirements include the current speed shortage implied by starting the standby pump. At the same time, call the liquid level height of the perception judgment module and compare the liquid level height with the pump stop level. If the liquid level height is higher than the pump stop level, the liquid level needs to be lowered. In combination with the enhanced drainage demand in the staged pump start-stop command, the pump group speed is determined to be adjusted in the direction of increase. If the liquid level is lower than the pump stop level, the liquid level needs to be maintained or increased. Combined with the demand for controlling drainage, the pump group speed is determined to be adjusted in the direction of decrease. When the number of pump groups in the staged pump start-stop command is adjusted to reduce the number of running pumps, the speed adjustment priority of the remaining pump groups is automatically increased. Therefore, through the triple logic of command analysis, liquid level comparison and association of the number of pump groups, the adjustment direction of the pump group speed is ensured to be consistent with the liquid level control target and the equipment operating status, avoiding liquid level loss of control due to wrong direction.

[0099] The flow deviation reflects the gap between the actual delivery capacity of the pump group and the target. Only determining the adjustment direction cannot meet the precise flow control. The adjustment amplitude must be determined by the deviation size to quickly eliminate the deviation. The flow deviation between the obtained pump group flow and the preset target flow is calculated. If the flow deviation is negative, that is, the pump group flow is less than the target flow, the adjustment amplitude is determined according to the absolute value of the flow deviation in the determined adjustment direction, where the larger the absolute value of the flow deviation, the larger the adjustment amplitude. If the flow deviation is positive, that is, the pump group flow is greater than the target flow, the adjustment amplitude is determined according to the absolute value of the flow deviation in the adjustment direction. The adjustment amplitude is determined based on the flow speed adjustment curve, which is pre-calibrated based on the flow and speed characteristics of the pump group to ensure that the adjustment amplitude matches the flow change requirements and set a single-step adjustment upper limit. Therefore, the adjustment amplitude is determined based on the flow deviation, so that the change in the pump group speed directly serves the flow control target, avoids flow fluctuations caused by blind adjustment, and improves the economy of the pump group operation.

[0100] If the blockage displacement exceeds the warning threshold, the adjustment range is attenuated. For example, if the blockage displacement exceeds 50% of the warning threshold, the adjustment range is halved. When the system starts multiple submersible digital pumps, the high-load pump group is determined by the current and vibration data of each pump group. When limiting the adjustment range, the attenuation ratio of the adjustment range is additionally increased for the high-load pump group. The adjustment range after limitation shall not be lower than the speed threshold for maintaining the minimum operation of the pump group. In this way, pump group overload is avoided by limiting the blockage displacement, and differentiated equipment protection is achieved by prioritizing the restriction of high-load pump groups, thus extending the overall service life of the pump group and balancing flow control and equipment safety. The final determined pump group speed will directly affect the operating status of the pump group, and its data will be fed back to the energy efficiency optimization module as the basis for pump efficiency judgment and optimization.

[0101] Based on the current dynamically adjusted valve opening as the basic parameter, the correlation between the valve opening and the initial flow resistance is established;

[0102] Obtain pipeline parameters including pipeline diameter, pipeline length and inner wall roughness, and correct the initial flow resistance based on the pipeline parameters;

[0103] The initial flow resistance corrected by the pipeline parameters is adjusted again based on the medium properties including medium viscosity and impurity content to determine the pipeline flow resistance.

[0104] Valve opening is the core factor affecting the local resistance of the pipeline. Different openings correspond to different flow resistance benchmarks. The initial flow resistance must be determined based on the opening to reflect the degree of obstruction of the valve to the fluid; the valve opening after dynamic adjustment is obtained, and the preset opening flow resistance correlation table is called. The opening flow resistance correlation table is pre-established based on the structural parameters of the valve and experimental data. The structural parameters of the valve include valve diameter and type, covering the initial flow resistance corresponding to all openings from fully closed to fully open. During the correlation process, the valve opening is filtered to remove abnormal values ​​caused by instantaneous fluctuations, such as false opening changes caused by vibration, to ensure the stability of the initial flow resistance; thus, the initial flow resistance is determined based on the valve opening, which can directly reflect the impact of valve adjustment on pipeline resistance, provide a real benchmark for subsequent corrections, and avoid deviations between theoretical calculations and actual conditions.

[0105] Pipeline parameters determine the flow resistance along the pipeline. Considering only the valve opening cannot reflect the resistance characteristics of the entire pipeline system. Pipeline parameter correction is required to comprehensively evaluate the flow resistance. The preset pipeline parameters, including pipeline diameter, pipeline length, and inner wall roughness, are called. The pipeline is divided into several pipeline segments based on the actual pipeline laying path, such as the distribution of straight pipe sections and curved pipe sections. The along-the-line resistance correction coefficient is calculated for each pipeline segment separately. The smaller the pipeline diameter, the longer the pipeline length, and the higher the inner wall roughness, the larger the along-the-line resistance correction coefficient. The along-the-line resistance correction coefficients of each pipeline segment are superimposed and multiplied by the initial flow resistance to obtain the initial flow resistance after pipeline parameter correction. During the correction process, additional correction is added to old pipelines to account for the increase in roughness caused by pipeline aging. The introduction of pipeline parameter correction expands the initial flow resistance calculation from local valves to the entire pipeline, more realistically reflecting the resistance of the fluid in the entire pipeline system and providing a comprehensive basis for pump efficiency judgment.

[0106] Medium viscosity and impurity content increase the flow resistance of the fluid. Under the same pipeline and valve conditions, different medium properties will result in different actual flow resistance. Adjustment of medium properties is required to ensure the accuracy of pipeline flow resistance determination. Real-time monitoring of medium properties is obtained, with medium viscosity measured using an online viscometer and impurity content monitored using a laser particle size analyzer. The medium properties are then compared with standard values ​​for clean water. If the medium viscosity exceeds the standard value, the initial flow resistance, after correction by pipeline parameters, is adjusted upward. If the impurity content exceeds the standard value, the initial flow resistance, after correction by pipeline parameters, is adjusted upward. The final pipeline flow resistance is determined, subject to the constraint that the pipeline flow resistance does not exceed the design maximum value when the medium properties are extreme. Adjustment of medium properties allows the pipeline flow resistance calculation to adapt to different water quality conditions, avoiding distortion in flow resistance assessment due to medium variations. This provides accurate resistance parameters for the energy efficiency optimization module to determine pump efficiency. The final determined pipeline flow resistance is transmitted to the energy efficiency optimization module in real time and serves as a key input for pump efficiency calculation and optimization of valve opening and pump unit speed. Its accuracy directly impacts the optimization effect.

[0107] The energy efficiency optimization module is used to determine the real-time liquid level changes based on the liquid level fluctuation frequency and amplitude. It processes historical liquid level changes, real-time liquid level changes, and rainfall data through a long-short-term memory network, outputs the liquid level prediction value and determines the predicted pump-stop level. It also judges the pump efficiency in real time based on the valve opening and pipeline flow resistance. It optimizes the valve opening and pump group speed through the particle swarm optimization algorithm to generate the optimized pump-stop level. The parameters of the long-short-term memory network are adjusted based on the deviation between the predicted pump-stop level and the optimized pump-stop level.

[0108] Further, if Figure 2 As shown, determining the predicted pump stop level includes:

[0109] Calculate the coupling coefficient of liquid level fluctuation frequency and amplitude, combine the coupling coefficient with the boundary value of the normal liquid level range, and generate real-time liquid level changes that represent the dynamic change trend of the liquid level. The real-time liquid level changes include the liquid level change rate and liquid level change direction;

[0110] The historical liquid level changes are divided into stable segments and fluctuating segments according to the time series, and different time weights are assigned to each segment. At the same time, the historical liquid level changes, real-time liquid level changes and rainfall data are input into the long short-term memory network;

[0111] After processing by the long short-term memory network, the liquid level prediction value is output. The time point when the liquid level first reaches the pump-stop level associated threshold during the liquid level drop is extracted from the liquid level prediction value, and the liquid level prediction value corresponding to the time point is determined as the predicted pump-stop level.

[0112] The liquid level fluctuation frequency only reflects the frequency of changes, and the fluctuation amplitude only reflects the severity of changes. It is difficult to fully reflect the dynamic characteristics of the liquid level when used alone. Only by combining the two can the actual trend of liquid level changes be captured more accurately, providing a reliable basis for subsequent predictions. After obtaining the liquid level fluctuation frequency and fluctuation amplitude output by the perception and judgment module, the coupling coefficient is calculated in the form of the weight of the liquid level fluctuation frequency × the liquid level fluctuation frequency + the weight of the fluctuation amplitude × the fluctuation amplitude. The weight of the liquid level fluctuation frequency and the weight of the fluctuation amplitude are pre-set according to the degree of influence of the two on the liquid level changes in the historical operation of the pump station, and can be dynamically adjusted according to the actual working conditions. The calculated coupling coefficient is correlated with the boundary value of the normal liquid level range for analysis. If the coupling coefficient is If the coupling coefficient is large and the liquid level moves toward the pump-stop level, a real-time liquid level change with a faster liquid level change rate and a direction pointing to the pump-stop level is generated. If the coupling coefficient is small and the liquid level fluctuates slightly within the normal liquid level range, a real-time liquid level change with a slow liquid level change rate and no obvious direction is generated. During the generation process, abnormal coupling coefficients are filtered to ensure the authenticity of the real-time liquid level changes, where abnormal coupling coefficients include mutation values ​​caused by transient sensor failures. The coupling coefficient is used to organically combine the liquid level fluctuation frequency and fluctuation amplitude, overcoming the limitation of a single parameter in describing liquid level changes. The generated real-time liquid level changes can more truly reflect the dynamic trend of the liquid level, providing high-quality input data for the long-term and short-term memory network.

[0113] In the historical liquid level changes, the liquid level characteristics of different time periods have different effects on the current prediction. The reference value of the stable segment is relatively low, while the fluctuating segment can better reflect the liquid level change law under similar working conditions. Differentiated processing can improve the learning efficiency and prediction accuracy of the long-term and short-term memory network; the historical liquid level changes are divided according to the time series, and the stable and fluctuating segments are identified by the sliding window method. The size of the sliding window is set according to the periodic characteristics of the pump station liquid level changes. For the stable segment, a lower time weight is given, and for the fluctuating segment, especially the recent fluctuating segment similar to the current working condition, a higher time weight is given. The weight value is determined by historical prediction error analysis. At the same time, the rainfall data is classified and processed. The data are divided into different levels such as no rain, light rain, moderate rain and heavy rain, and the start time and duration of the rainfall are marked. The processed historical liquid level changes, real-time liquid level changes and classified rainfall data are standardized to obtain a unified data format and magnitude. Then, they are input into the long short-term memory network after alignment according to the time series. The data integrity is checked before input. If there is missing data, it is supplemented by interpolation. Therefore, through the differentiated weighting of historical data and the classification processing of rainfall data, the long short-term memory network can learn the liquid level change law more specifically, especially the change characteristics under complex working conditions, thereby improving the learning efficiency of the long short-term memory network and its adaptability to different working conditions.

[0114] The liquid level prediction value output by the long short-term memory network is a continuous time series. It is necessary to extract the key liquid level values ​​related to pump stop from it to provide a specific reference basis for the pump stop control of the digital prefabricated pump station, so that the prediction result has practical application value. After receiving the liquid level prediction value for a period of time in the future output by the long short-term memory network, the liquid level prediction value is trend analyzed to screen out the part with a downward trend in the liquid level. According to the design parameters and operating experience of the digital prefabricated pump station, the pump stop liquid level associated threshold is set. The pump stop liquid level associated threshold is usually slightly lower than the pump stop liquid level, and a certain buffer time is reserved for the pump stop operation. Then, from the screened part with a downward trend in the liquid level, the time point when the pump stop liquid level associated threshold is first reached is found. The corresponding time point The liquid level prediction value is the preliminarily determined predicted pump-stop liquid level. The rationality of the preliminarily determined predicted pump-stop liquid level is verified. If it deviates significantly from the actual pump-stop liquid level under similar historical operating conditions, it is corrected in combination with the drainage capacity of the pumping station and the current liquid level change trend to finally determine the predicted pump-stop liquid level. By setting the pump-stop liquid level association threshold and extracting the key time points from the liquid level prediction value, the predicted pump-stop liquid level can be directly combined with the pump-stop control logic of the pumping station, providing a clear comparison benchmark for the subsequent generation of optimized pump-stop liquid level, thereby improving the practicality of the prediction results. The determined predicted pump-stop liquid level will be compared with the generated optimized pump-stop liquid level. Its accuracy will directly affect the calculation of the deviation between the two, and thus affect the rationality of the long-short-term memory network parameter adjustment.

[0115] Furthermore, if Figure 3 As shown, generating the optimized pump stop level includes:

[0116] Dynamically correct the head based on valve opening and pipeline flow resistance, and calculate the pump efficiency in real time based on the pump group flow, dynamically corrected head and motor power;

[0117] Taking pump efficiency maximization as the objective function, valve opening and pump speed are used as optimization variables, and optimization constraints for valve opening and pump speed are set based on pipeline flow resistance and blockage displacement.

[0118] The particle swarm optimization algorithm is used to output the optimized variable combination of valve opening and pump speed. The liquid level change process under this variable combination is simulated, and the cumulative energy consumption of the pump group when the liquid level drops to the pump stop level is recorded. The liquid level height is selected according to the cumulative energy consumption of the pump group to generate the optimized pump stop level.

[0119] Head is a key parameter for measuring the performance of a pump unit. Valve opening and pipeline resistance directly affect the actual head. Without correction, the pump efficiency calculated based on the theoretical head will deviate significantly from the actual situation, making it unreliable for optimization. The pump-valve collaboration module dynamically determines the head correction coefficient based on the current valve opening and pipeline resistance. A smaller valve opening corresponds to a larger head correction coefficient, while a larger pipeline resistance corresponds to a larger head correction coefficient. The theoretical head is multiplied by these two correction coefficients to obtain the actual head after dynamic correction. Based on the corrected head, pump flow rate, and motor power, the pump efficiency is calculated according to the formula (pump flow rate × corrected head × liquid density × gravitational acceleration) / (motor power × 3600). Abnormal motor power values ​​are smoothed during the calculation to ensure the stability of the pump efficiency calculation. Abnormal motor power values ​​include peak values ​​caused by instantaneous motor overload. Dynamic head correction ensures that the calculated pump efficiency is closer to the actual operating efficiency of the pump unit, providing accurate performance indicators for subsequent optimization and ensuring the correctness of the optimization direction.

[0120] Taking only maximizing pump efficiency as the optimization goal will cause the valve opening and pump group speed to be in extreme states, affecting the safe operation of the pipeline and pump group. Therefore, it is necessary to set reasonable constraints to ensure equipment safety while ensuring efficiency; clearly set maximizing pump efficiency as the objective function of the particle swarm optimization algorithm, and use the valve opening and pump group speed in the pump-valve collaboration module as optimization variables, where the valve opening ranges from 0 to the maximum opening, and the pump group speed ranges from the minimum safe speed to the rated speed. The valve opening constraint is set based on the pipeline flow resistance. When the pipeline flow resistance exceeds the preset safety threshold, the valve opening is limited. It must not be less than a certain minimum value to avoid excessive pipeline resistance; based on the blockage displacement obtained by the perception and judgment module, the pump group speed constraint is set. When the blockage displacement exceeds the warning value, the pump group speed is limited to not exceed a certain maximum value to prevent the pump group from overloading. The specific value of the constraint condition is determined according to the pressure resistance of the pipeline and the load bearing capacity of the pump group, and can be dynamically updated according to the equipment status; thus, by setting a clear objective function, optimization variables and optimization constraints, the particle swarm optimization algorithm can search for the variable combination that maximizes the pump efficiency while ensuring equipment safety, thereby achieving a balance between efficiency and safety.

[0121] The optimized variable combination output by the particle swarm optimization algorithm needs to be verified through the simulation of actual liquid level changes to verify its effect, and at the same time, it needs to be screened in combination with energy consumption factors to determine the final optimized pump stop liquid level to ensure that the optimization result is both efficient and economical; the set objective function, optimization variables and optimization constraints are input into the particle swarm optimization algorithm, and the particle swarm optimization algorithm obtains multiple sets of optimized variable combinations of valve opening and pump group speed through iterative search. The liquid level change process under each set of variable combinations is simulated through the digital twin model of the pump station, and the entire process of the liquid level dropping from the current value to the pump stop liquid level is recorded, including the time, speed and fluctuation of the liquid level drop. During the simulation process, the cumulative energy consumption of the pump group is calculated in real time, and the cumulative energy consumption of the pump group is simulated. The sum of the product of motor power and time within a time period is used to analyze the simulation results of multiple groups of variable combinations. The liquid level height when the liquid level corresponding to the combination with the preset pump efficiency reaching the preset target and the lowest cumulative energy consumption of the pump group drops to the pump stop level is selected as the optimized pump stop level. If there are multiple groups of combinations with similar energy consumption and efficiency, the liquid level height corresponding to the variable combination with the smoothest liquid level drop process is selected; thus, through digital twin model simulation and energy consumption screening, the generated optimized pump stop level can not only ensure the efficient operation of the pump group, but also minimize energy consumption and improve the economy of the digital prefabricated pump station operation. The generated optimized pump stop level will be used to calculate the deviation with the predicted pump stop level, providing a specific basis for the adjustment of long and short-term memory network parameters.

[0122] Specifically, adjusting the parameters of the long short-term memory network includes:

[0123] a deviation between the predicted pump stop liquid level and the optimized pump stop liquid level is calculated, and a deviation size and a deviation direction are determined based on the deviation;

[0124] a parameter adjustment range of historical liquid level changes, real-time liquid level changes and rainfall data in the long short-term memory network is determined based on the deviation size and the deviation direction;

[0125] parameters of the long short-term memory network are adjusted based on the parameter adjustment range, and an adjustment effect is verified and a prediction deviation rate is calculated after the parameter adjustment, to determine whether to re-adjust the parameters of the long short-term memory network.

[0126] The deviation between the predicted pump stop liquid level and the optimized pump stop liquid level is an important indicator for measuring the prediction accuracy of the long short-term memory network. The deviation size and the deviation direction are determined to find the problems in the prediction of the long short-term memory network and provide a targeted direction for parameter adjustment. The deviation between the predicted pump stop liquid level and the optimized pump stop liquid level is calculated. A positive deviation indicates that the predicted pump stop liquid level is higher than the optimized pump stop liquid level, and a negative deviation indicates that the predicted pump stop liquid level is lower than the optimized pump stop liquid level. The deviation size is determined according to the ratio of the deviation to the pump stop liquid level. The deviation size is determined based on the comparison of the threshold value. The deviation is calculated after the time synchronization verification of the predicted pump stop liquid level and the optimized pump stop liquid level to ensure that they correspond to the same working condition of the pump stop liquid level. If there is a time deviation, the deviation is calculated after the corresponding correction. Thus, by accurately calculating the deviation and determining the deviation size and the deviation direction, the deviation of the long short-term memory network prediction can be clearly understood, and a clear target is provided for subsequent parameter adjustment.

[0127] Different deviation conditions reflect different problems in the learning of the long short-term memory network for different input data. Different parameter adjustment ranges need to be determined according to the deviation size and the deviation direction to effectively correct the prediction deviation of the long short-term memory network. Based on the deviation size and the deviation direction, the corresponding parameter adjustment rules are formulated. For a positive large deviation, if it is found that the influence of rainfall data is underestimated, the time weight of rainfall in the long short-term memory network is increased. The adjustment range is determined according to the deviation size. The larger the deviation, the larger the adjustment range, but the single adjustment does not exceed the highest proportion of the original weight. For a negative small deviation, if it is judged that the time weight of the fluctuation segment in the historical liquid level change is too high, the time weight of the fluctuation segment is appropriately reduced. Thus, different parameter adjustment ranges are determined according to the deviation condition, the parameter adjustment of the long short-term memory network is more targeted and effective, the prediction deviation of the network can be quickly corrected, and the prediction accuracy is improved.

[0128] After the parameters are adjusted, the prediction performance of the long short-term memory network will change, and verification is needed to determine whether the adjustment is effective. If the adjustment effect is not good, it needs to be readjusted to ensure that the long short-term memory network always maintains a high prediction accuracy; the relevant parameters of the long short-term memory network are modified according to the determined parameter adjustment range, where the relevant parameters include the weight of each input data and the connection weight between network layers. After the parameters are modified, historical data in the recent period is selected as the test set, and the adjusted long short-term memory network is input for prediction to obtain the new liquid level prediction value and the predicted pump stop level, and the prediction between the new predicted pump stop level and the corresponding optimized pump stop level is calculated. The deviation rate is calculated and compared with the predicted deviation rate before adjustment. If the predicted deviation rate decreases, it means that the adjustment is effective. If the predicted deviation rate increases or remains basically unchanged, the parameter adjustment range is re-determined according to the new deviation situation, and adjustments are made again until the predicted deviation rate reaches the preset target range. In this way, the effectiveness of the parameter adjustment is ensured by verifying and adjusting the adjusted long short-term memory network multiple times, so that the long short-term memory network can continue to maintain a high prediction accuracy, providing reliable liquid level prediction support for the optimized operation of the pump station. The long short-term memory network that has passed the verification will be used for the next round of liquid level prediction, forming a closed loop of continuous optimization and continuously improving the overall performance of the system.

[0129] Example 2

[0130] like Figure 4 As shown, a structural schematic diagram of a digital prefabricated pump station is provided for an embodiment of the present application, which includes a submersible digital pump, a wellbore, a submersible digital pump group, an inlet flange, a basket grille, a cylinder, a guide rail, a zero-resistance two-way check valve, a multi-functional liquid level device, an exhaust cap, an ultrasonic level gauge, a downward-bend water outlet pipe, a soft connection, a digital control system, a digital device, a digital adjustment device, an intelligent digital control well and an outlet flange.

[0131] The cylinder and wellbore serve as the bearing shell of the pump station, providing temporary storage of water flow and space for equipment installation, and separating the functional areas of the water inlet, submersible digital pump group and water outlet; the basket grille intercepts debris at the water inlet, and the guide rail provides displacement guidance for the basket grille, monitoring the displacement and converting it into perception data of blockage displacement; the water inlet flange is connected to the external pipe network, and the water outlet flange is connected to the outlet pipe to realize the introduction and discharge of water flow.

[0132] The cylinder and wellbore serve as the core bearing shell of the digital prefabricated pump station. They are made of high-strength corrosion-resistant materials and have good structural stability. Their internal space is rationally divided into the water inlet, the submersible digital pump group working area and the water outlet functional area, providing temporary storage space for the water flow. At the same time, it provides a solid installation foundation for each equipment to ensure the orderly layout and coordinated operation of the equipment; the water inlet flange is connected to the external water supply network through the standard pipe connection interface to achieve stable water flow introduction. The water outlet flange is also connected to the outlet pipe with a standard interface to ensure that the water processed by the pump station can be smoothly discharged to the external drainage network, playing a key connection and diversion role in the entire water flow transmission process.

[0133] The basket grille is installed at the water inlet. With its own grid structure, it can effectively intercept debris flowing into the external pipe network, such as branches and plastic garbage, to prevent debris from entering the pump station and causing equipment blockage or damage, thereby ensuring the smoothness of the subsequent drainage process. The guide rail provides a precise displacement guide track for the basket grille. In the process of intercepting debris, the displacement caused by debris accumulation and other reasons can be clearly presented along the guide rail. Through real-time monitoring of the displacement, it can be accurately converted into perception data reflecting the blockage situation of the pump station, providing a key basis for subsequent abnormal working condition judgment.

[0134] The submersible digital pump group and submersible digital pump are drainage equipment that controls the pump group flow by adjusting the pump group speed; the zero-resistance two-way check valve is installed in the outlet pipe to monitor the pressure difference between the front and back of the valve in real time to reduce the reverse impact of water flow; the soft connection is used to connect the submersible digital pump group and the outlet pipe, and compensates for pipeline vibration and displacement by adjusting the expansion and contraction amount; the digital adjustment device controls the valve opening, and the digital device measures the outlet flow rate, monitors the pump group flow and monitors the pipeline vibration; the ultrasonic level meter is used to transmit and receive ultrasonic pulses to obtain the liquid level.

[0135] The submersible digital pump group and submersible digital pump are the core drainage equipment of the pump station. The submersible digital pump group integrates multiple submersible digital pumps. According to the actual drainage needs, the pump group speed can be precisely adjusted to achieve flexible control of the pump group flow. When the liquid level is high and rapid drainage is required, the speed is increased to increase the flow. When the liquid level is stable, the speed is reduced to maintain a stable flow, so as to adapt to different drainage conditions.

[0136] The zero-resistance bidirectional check valve is installed in the water outlet pipeline, and by using the special valve disc structure, the pressure difference before and after the valve can be monitored in real time. When the water flows in the forward direction, the valve disc opens smoothly to drain water. When the water flow appears a reverse flow trend, the valve disc quickly closes, effectively reducing the damage of the reverse flow impact on the pump station equipment, and ensuring the stable operation of the pump station. The soft connection is used to connect the submersible digital pump group and the water outlet pipeline, and has the physical property of telescopic. During the operation of the pump station, if pipeline vibration or displacement of the pipeline caused by temperature change, equipment displacement, etc. occurs, the soft connection can effectively compensate for these changes by adjusting its telescopic amount, avoiding pipeline rupture and other faults caused by stress concentration, and protecting the integrity of the pipeline system.

[0137] The digital regulating device can accurately control the valve opening according to the operation requirements and control instructions of the pump station. When the flow needs to be increased, the valve opening is adjusted to increase the flow, and when the flow needs to be reduced to maintain stability, the valve opening is adjusted to reduce the flow, so as to accurately control the water flow, and cooperate with the adjustment of the pump group speed to ensure the drainage effect. The digital device has multiple monitoring functions. On the one hand, it can accurately measure the flow rate of the water outlet, and further calculate the pump group flow by combining the parameters such as the cross-sectional area of the water outlet pipeline, to provide data for the pump station operation state monitoring. On the other hand, it can monitor the pipeline vibration in real time, and convert the vibration signal into an electrical signal or other form to transmit to the control system, so as to timely discover the pipeline abnormalities.

[0138] The ultrasonic liquid level meter transmits ultrasonic pulses to the liquid surface in the digital prefabricated pump station by the physical properties of ultrasonic waves. The ultrasonic pulses are reflected by the liquid surface and received. By accurately calculating the time difference between the transmitted and received pulses and combining parameters such as the propagation speed of ultrasonic waves in air, the liquid level height data in the pump station can be accurately obtained, providing basic and key liquid level information for the start-stop control and flow regulation of the pump station.

[0139] The digital control system is the intelligent control core of the pump station, integrating sensing and judgment modules, pump valve coordination modules, and energy efficiency optimization modules. It can comprehensively receive various sensing data from the ultrasonic liquid level meter, the pressure sensor of the zero-resistance bidirectional check valve, and the digital device, accurately control the pump group speed of the submersible digital pump group, the valve opening of the digital regulating device, and the telescopic amount of the soft connection, and realize the automatic and intelligent operation of the pump station, ensuring efficient and stable drainage of the pump station.

[0140] The intelligent digital control well is the hardware carrier and installation space of the digital control system, and integrates various control circuits and communication modules inside. Through internal signal transmission lines and interfaces, it establishes stable connections with sensors and actuators in the digital prefabricated pump station, is responsible for centralized reception and processing of sensing data, and accurate sending of control instructions, and plays a key supporting role in the physical layer in the digital control process of the entire pump station.

[0141] Wherein the water flow path is through the external pipe network, the water inlet flange, the basket strainer, the temporary storage in the cylinder and the well shaft, the submersible digital pump set, the downward water outlet pipeline, the zero-resistance bidirectional check valve, the flexible connection, the digital regulating device, the water outlet flange and the external drainage pipe network.

[0142] Wherein the sensors include ultrasonic liquid level meters, pressure sensors of zero-resistance bidirectional check valves, digital devices and displacement sensors of basket strainers, and are controlled by intelligent digital control wells, submersible digital pump sets, digital regulating devices and flexible connections.

[0143] The cylinder and the well shaft are connected by welding and bolt connection to form a stable integrated pump station shell structure to provide a reliable installation foundation for the internal equipment. The basket strainer is connected to the corresponding mounting part of the cylinder or the well shaft through a guide rail and can smoothly slide along the guide rail. The water inlet flange and the water outlet flange are firmly connected at the water inlet and outlet openings of the cylinder by bolt fastening and other methods to ensure reliable docking with the external pipe network and the water outlet pipeline.

[0144] The submersible digital pump set is fixedly installed at a designated position in the well shaft through a special mounting bracket or base to ensure stability during operation. The zero-resistance bidirectional check valve is installed in the water outlet pipeline in the form of flange connection to achieve sealed and stable connection with the front and rear pipelines. The two ends of the flexible connection are connected to the water outlet end of the submersible digital pump set and the water outlet pipeline through flange or other suitable connection methods to ensure the sealing and scalability of the connection. The digital regulating device is also installed on the water outlet pipeline in the form of flange connection to achieve precise regulation and control of the water flow in the pipeline. The ultrasonic liquid level meter is installed at a suitable height position in the cylinder or the well shaft through a bracket or a mounting base to ensure accurate detection of the liquid level.

[0145] The ultrasonic liquid level meter, the pressure sensor of the zero-resistance bidirectional check valve, the digital device and the displacement sensor of the basket strainer, etc. transmit the sensed data such as liquid level height, pressure difference, pump set flow, pipeline vibration and blockage displacement to the digital control system in the intelligent digital control well through special signal transmission cables. In the transmission process, shielded cables or wireless communication modules are used to ensure stable and accurate transmission of signals and provide data support for analysis, judgment and control of the digital control system.

[0146] The hierarchical start-stop pump instructions generated by the digital control system in the intelligent digital control well after analysis and operation include speed regulation of the submersible digital pump set and valve opening regulation of the digital regulating device, which are transmitted to the corresponding actuators through control cables. After receiving the corresponding instructions, the actuators accurately execute actions such as pump set speed adjustment and valve opening adjustment to realize automatic control of the digital prefabricated pump station. In the signal transmission process, the accuracy of the instruction decoding and execution is ensured to guarantee the real-time and accuracy of the control effect.

[0147] Since the principle of solving the problem by the pump station in the embodiment of the present application is similar to that of the system described above in the embodiment of the present application, the implementation of the pump station refers to the implementation of the system, and the repeated parts will not be repeated.

Claims

1. A digital control system for a digital prefabricated pump station, characterized in that: include: Perception and judgment module, pump and valve coordination module, and energy efficiency optimization module; The perception and judgment module is used to obtain perception data including liquid level height, pressure difference, pump group flow, blockage displacement and pipeline vibration through the digital prefabricated pump station, analyze the perception data and judge abnormal operating conditions to generate graded pump start and stop instructions, and output the liquid level fluctuation frequency and fluctuation amplitude; The pump-valve coordination module is used to parse the graded pump start-stop instructions to execute pump-valve control, including dynamically adjusting the valve opening based on the liquid level, pressure difference, and pump group flow rate; adjusting the expansion and contraction of the flexible connection based on pipeline vibration and blockage displacement; dynamically adjusting the pump group speed based on the liquid level, pump group flow rate, and blockage displacement; and determining the pipeline flow resistance based on the valve opening, pipeline parameters, and medium properties; The energy efficiency optimization module is used to determine the real-time liquid level changes based on the liquid level fluctuation frequency and amplitude. It processes historical liquid level changes, real-time liquid level changes, and rainfall data through a long-short-term memory network, outputs the liquid level prediction value and determines the predicted pump-stop level. It also judges the pump efficiency in real time based on the valve opening and pipeline flow resistance. It optimizes the valve opening and pump group speed through the particle swarm optimization algorithm to generate the optimized pump-stop level. The parameters of the long-short-term memory network are adjusted based on the deviation between the predicted pump-stop level and the optimized pump-stop level.

2. A digital control system for a digital prefabricated pump station according to claim 1, characterized in that: Determining the predicted pump stop liquid level includes: Calculate the coupling coefficient of liquid level fluctuation frequency and amplitude, combine the coupling coefficient with the boundary value of the normal liquid level range, and generate real-time liquid level changes that represent the dynamic change trend of the liquid level. The real-time liquid level changes include the liquid level change rate and liquid level change direction; The historical liquid level changes are divided into stable segments and fluctuating segments according to the time series, and different time weights are assigned to each segment. At the same time, the historical liquid level changes, real-time liquid level changes and rainfall data are input into the long short-term memory network; After processing by the long short-term memory network, the liquid level prediction value is output. The time point when the liquid level first reaches the pump-stop level associated threshold during the liquid level drop is extracted from the liquid level prediction value, and the liquid level prediction value corresponding to the time point is determined as the predicted pump-stop level.

3. The digital control system of a digital prefabricated pump station according to claim 1, characterized in that: Generating the optimized pump stop liquid level includes: Dynamically correct the head based on valve opening and pipeline flow resistance, and calculate the pump efficiency in real time based on the pump group flow, dynamically corrected head and motor power; Taking pump efficiency maximization as the objective function, valve opening and pump speed are used as optimization variables, and optimization constraints for valve opening and pump speed are set based on pipeline flow resistance and blockage displacement. The particle swarm optimization algorithm is used to output the optimized variable combination of valve opening and pump speed. The liquid level change process under this variable combination is simulated, and the cumulative energy consumption of the pump group when the liquid level drops to the pump stop level is recorded. The liquid level height is selected according to the cumulative energy consumption of the pump group to generate the optimized pump stop level.

4. The digital control system of a digital prefabricated pump station according to claim 1, characterized in that: The parameters of the long short-term memory network are adjusted as follows: Calculate the deviation between the predicted pump stop level and the optimized pump stop level, and determine the magnitude and direction of the deviation based on the deviation; Determine the parameter adjustment range of historical liquid level changes, real-time liquid level changes, and rainfall data in the long-short-term memory network based on the deviation size and deviation direction; The parameters of the long short-term memory network are adjusted based on the parameter adjustment amplitude, and the adjustment effect is verified after the parameter adjustment and the prediction deviation rate is calculated to determine whether the parameters of the long short-term memory network should be readjusted.

5. The digital control system of a digital prefabricated pump station according to claim 1, characterized in that: The dynamic adjustment of valve opening comprises: Analyze the valve adjustment in the staged start and stop pump instructions, and determine the valve adjustment direction of the valve opening adjustment based on the liquid level height; In the process of adjusting the valve opening, the opening adjustment range of the valve adjustment direction is adjusted in combination with the pressure difference; The difference between the obtained pump group flow and the flow required by the pipeline transportation is calculated, and the opening adjustment range after pressure difference adjustment is corrected again according to the flow difference to dynamically adjust the valve opening.

6. The digital control system of a digital prefabricated pump station according to claim 1, characterized in that: The adjusting of the expansion and contraction amount of the soft connection includes: Analyze the graded pump start and stop instructions and determine the adjustment trend of the flexible joint expansion and contraction based on the acquired pipeline vibration; Extract the acquired blockage displacement and, based on the cumulative displacement of the blockage displacement toward or away from the pump unit, correct the adjustment trend of the expansion and contraction amount of the flexible connection; The rate of change of pipeline vibration and blockage displacement is comprehensively considered to determine the adjustment speed of the expansion and contraction of the flexible connection in order to adjust the expansion and contraction of the flexible connection.

7. The digital control system of a digital prefabricated pump station according to claim 1, characterized in that: The dynamic adjustment of the pump group speed includes: Analyze the speed adjustment and pump group quantity adjustment in the staged pump start and stop instructions, and compare the liquid level with the pump stop level to determine the adjustment direction of the pump group speed; The obtained pump flow rate is subtracted from the target flow rate to obtain the flow deviation, and the adjustment range of the pump speed is determined based on the flow deviation; The adjustment range of the pump group speed is limited based on the blockage displacement. At the same time, if multiple submersible digital pumps are started, the speed of the pump group determined to be the high-load digital pump is limited first.

8. The digital control system of a digital prefabricated pump station according to claim 1, characterized in that: The acquisition of sensing data through the digital prefabricated pump station includes: The ultrasonic level meter transmits ultrasonic pulses and receives liquid level signals to calculate the liquid level height; Real-time monitoring of the pressure difference between the front and back of the valve based on the zero-resistance two-way check valve; The flow rate of the water outlet is measured by a digital device to calculate the flow rate of the pump unit; The displacement of the basket grille on the guide rail is used to characterize the blockage displacement; The vibration signal of the pipeline is monitored by a digital device and converted into pipeline vibration.

9. The digital control system of a digital prefabricated pump station according to claim 1, characterized in that: The generating of the staged pump start and stop instructions comprises: Comparing the real-time acquired perception data with the normal operating condition threshold to determine the degree of deviation of the perception data from the normal operating condition threshold; Based on the degree of deviation of the perception data from the normal operating condition threshold and the correlation between the perception data, the abnormal operating condition is comprehensively judged; The graded pump start-stop instructions are generated based on the judgment results of abnormal working conditions. The graded pump start-stop instructions include valve adjustment, speed adjustment and pump group quantity adjustment.

10. A digital prefabricated pump station, implemented based on a digital control system of a digital prefabricated pump station according to any one of claims 1 to 9, characterized in that: include: Submersible digital pump, submersible digital pump unit, basket grille, guide rail, zero-resistance two-way check valve, ultrasonic level gauge, downward-bend outlet pipe, flexible connection, digital control system, digital device and digital regulating device; The basket grille intercepts debris at the water inlet, and the guide rail provides displacement guidance for the basket grille, monitoring the displacement and converting it into perception data of blockage displacement; the submersible digital pump group and the submersible digital pump control the pump group flow by adjusting the pump group speed; the zero-resistance two-way check valve is installed in the water outlet pipeline, and the pressure difference before and after the valve is monitored in real time to reduce the reverse impact of water flow; the soft connection is used to connect the submersible digital pump group and the water outlet pipeline, and compensate for pipeline vibration and displacement by adjusting the expansion and contraction amount; the ultrasonic liquid level meter is used to transmit and receive ultrasonic pulses to obtain the liquid level height.

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