Pump station pollution control method and system based on multi-source sensing data

Abstract

The application provides a pump station cleaning control method and system based on multi-source sensing data, and relates to the technical field of pump station automation control. The method comprises the following steps: acquiring multi-source sensor data through a multi-source sensor combination arranged at a preset position at multiple moments in a monitoring period; acquiring pump station design data; determining a pump station cleaning decision index for representing the urgency degree of pump station cleaning according to the multi-source sensor data and the pump station design data; setting a pump station cleaning decision threshold value suitable for the operating condition of the pump station; judging the cleaning mode to be adopted by the pump station cleaning equipment according to the pump station cleaning decision index and the pump station cleaning decision threshold value, and generating a pump station cleaning control instruction; and performing pump station cleaning control according to the pump station cleaning control instruction. According to the application, the accuracy and comprehensiveness of the pump station cleaning control result based on multi-source sensing data can be improved.

Description

Technical Field

[0001] This invention relates to the field of pump station automation control technology, and in particular to a pump station cleaning and control method and system based on multi-source sensor data. Background Technology

[0002] In related technologies, existing pump station cleaning and control relies on a single sensor or fixed-cycle cleaning, without fully considering the comprehensive impact of multiple factors. That is, related technologies are difficult to quantitatively assess the urgency level of cleaning and control based on multiple factors of the pump station as a whole, difficult to determine the accurate timing of cleaning and control, and difficult to improve the accuracy and comprehensiveness of pump station cleaning and control results based on multi-source sensor data.

[0003] The information disclosed in the background section of this application is intended only to enhance the understanding of the general background of this application and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention

[0004] This invention provides a pump station cleaning and control method and system based on multi-source sensor data, which can solve the technical problems of related technologies that make it difficult to accurately determine the timing of cleaning and improve the accuracy and comprehensiveness of pump station cleaning and control results based on multi-source sensor data.

[0005] According to a first aspect of the present invention, a pumping station cleaning and pollution control method based on multi-source sensor data is provided, comprising: At multiple moments during the monitoring period, multi-source sensor data is acquired by a combination of multi-source sensors set at preset locations. The multi-source sensor data includes: liquid level sensor data, flow sensor data, current sensor data, and rainfall sensor data. Obtain pump station design data; Based on the multi-source sensor data and the pump station design data, determine the pump station cleaning decision indicators to represent the urgency of pump station cleaning. Set a pump station cleaning and pollution decision threshold that adapts to the operating conditions of the pump station, wherein the pump station cleaning and pollution decision threshold includes: a first pump station cleaning and pollution decision threshold and a second pump station cleaning and pollution decision threshold; Based on the pump station cleaning decision indicators and the pump station cleaning decision threshold, determine the cleaning mode that the pump station cleaning equipment should adopt and generate pump station cleaning control instructions. The pump station cleaning and sewage control is carried out according to the pump station cleaning and sewage control instructions.

[0006] According to the present invention, based on the multi-source sensor data and the pump station design data, a pump station cleaning decision index is determined to represent the urgency of pump station cleaning, including: Based on the liquid level sensor data, the flow sensor data, and the pump station design data, a pump station blockage factor is determined to represent the degree of pump station blockage. Based on the current sensor data and the pump station design data, a device load factor is determined to represent the load level of the pump station's cleaning equipment. Based on the liquid level sensor data, the rainfall sensor data, and the pump station design data, a rainfall interference factor is determined to represent the coupled impact of environmental rainfall and pump station water level. Based on the pump station blockage factor, the equipment load factor, and the rainfall interference factor, a pump station cleaning decision index is determined to represent the urgency of pump station cleaning.

[0007] According to the present invention, a pump station blockage factor for representing the degree of pump station blockage is determined based on the liquid level sensor data, the flow sensor data, and the pump station design data, including: Based on the liquid level sensor data, the liquid level difference of the trash rack in the pump station is obtained; Based on the data from the flow sensor, the instantaneous flow rate at the pump station inlet is obtained; Based on the pump station design data, obtain the maximum liquid level difference of the trash rack that is allowed by the design and the reference value of the inlet flow rate of the pump station under the condition that the inlet is not blocked; Set the liquid level difference amplification factor and the flow rate influence factor; Based on the level difference of the trash rack, the instantaneous flow rate of the inlet, the maximum level difference of the trash rack, the reference value of the inlet flow rate, the level difference amplification factor, and the flow rate influence coefficient, a pump station blockage factor is determined to represent the degree of blockage in the pump station.

[0008] According to the present invention, a pump station blockage factor for representing the degree of pump station blockage is determined based on the liquid level difference of the trash rack, the instantaneous flow rate of the inlet, the maximum liquid level difference of the trash rack, the reference value of the inlet flow rate, the liquid level difference amplification factor, and the flow rate influence coefficient, including: according to the formula: Determine the pump station blockage factor at time t of the monitoring period. ,in, Let be the difference in the level of the trash rack at time t during the monitoring period. This is the level difference amplification factor. The maximum liquid level difference of the trash rack. To measure the instantaneous flow rate at the inlet at time t during the monitoring period, This is the reference value for the inlet flow rate. This represents the flow rate impact coefficient.

[0009] According to the present invention, a device load factor for representing the load level of the pump station's cleaning equipment is determined based on the current sensor data and the pump station design data, including: Based on the current sensor data, the real-time motor current of the pump station's cleaning equipment is obtained; Based on the pump station design data, obtain the no-load current of the motor of the pump station's cleaning equipment and the rated operating current of the motor of the pump station's cleaning equipment. Get the most recent motor start time of the pump station's cleaning equipment; Set the motor load attenuation coefficient; Based on the real-time current of the motor, the no-load current of the motor, the rated operating current of the motor, the most recent start time of the motor, and the load attenuation coefficient of the motor, a device load factor is determined to represent the load level of the pump station's cleaning equipment.

[0010] According to the present invention, a rainfall interference factor representing the coupled influence of environmental rainfall and pump station water level is determined based on the liquid level sensor data, the rainfall sensor data, and the pump station design data, including: Based on the rainfall sensor data, the real-time rainfall in the area where the pumping station is located is obtained; Based on the pump station design data, obtain the maximum rainfall tolerance allowed by the pump station design for the water body where it is located; Set the rainfall risk coefficient and the liquid level rainfall coupling coefficient; Based on the trash rack level difference, the maximum trash rack level difference, the real-time rainfall, the maximum rainfall tolerance, the rainfall risk coefficient, and the level-rainfall coupling coefficient, a rainfall interference factor is determined to represent the coupling effect of environmental rainfall and pump station water level.

[0011] According to the present invention, a rainfall interference factor representing the coupled influence of environmental rainfall and pumping station water level is determined based on the trash rack level difference, the maximum trash rack level difference, the real-time rainfall, the maximum rainfall tolerance, the rainfall risk coefficient, and the level-rainfall coupling coefficient, including: according to the formula: Determine the rainfall disturbance factor at time t of the monitoring period. ,in, This refers to the real-time rainfall at time t during the monitoring period. To the maximum rainfall tolerance, For rainfall risk coefficient, Let be the difference in the level of the trash rack at time t during the monitoring period. The maximum liquid level difference of the trash rack. This is the coupling coefficient between liquid level and rainfall.

[0012] According to the present invention, based on the pump station cleaning decision indicators and the pump station cleaning decision threshold, a cleaning mode to be adopted by the pump station cleaning equipment is determined, and a pump station cleaning control command is generated, including: When the pump station cleaning decision index is greater than or equal to the first pump station cleaning decision threshold, the pump station cleaning equipment operates at full power and generates a first cleaning control command. When the pump station cleaning decision index is less than the first pump station cleaning decision threshold and greater than or equal to the second pump station cleaning decision threshold, the pump station cleaning equipment operates at half power and generates a second cleaning control command. When the pump station cleaning decision index is less than the second pump station cleaning decision threshold, the pump station cleaning equipment remains on standby and generates a third cleaning control command.

[0013] According to a second aspect of the present invention, a pump station cleaning and control system based on multi-source sensor data is provided, comprising: The multi-source sensor module is used to acquire multi-source sensor data at multiple times during the monitoring cycle by using a combination of multi-source sensors set at preset locations. The multi-source sensor data includes: liquid level sensor data, flow sensor data, current sensor data, and rainfall sensor data. The pump station design data module is used to acquire pump station design data; The pump station cleaning decision index module is used to determine the pump station cleaning decision index to represent the urgency of pump station cleaning based on the multi-source sensor data and the pump station design data. The pump station cleaning and pollution decision threshold module is used to set pump station cleaning and pollution decision thresholds that are adapted to the operating conditions of the pump station. The pump station cleaning and pollution decision thresholds include: a first pump station cleaning and pollution decision threshold and a second pump station cleaning and pollution decision threshold. The pump station cleaning and decontamination control instruction module is used to determine the cleaning mode that the pump station cleaning equipment should adopt based on the pump station cleaning and decontamination decision indicators and the pump station cleaning and decontamination decision threshold, and generate pump station cleaning and decontamination control instructions. The pump station cleaning and dewatering control module is used to perform pump station cleaning and dewatering control according to the pump station cleaning and dewatering control instructions.

[0014] Technical Effects: According to the present invention, multi-source sensor data and pump station design data can be acquired. Based on the multi-source sensor data and pump station design data, the degree of blockage of the pump station itself, the degree of blockage attenuation caused by continuous cleaning of the pump station cleaning equipment, and the degree of additional interference from environmental rainfall can be comprehensively evaluated to determine the pump station cleaning decision index that indicates the urgency of pump station cleaning. By setting a pump station cleaning decision threshold, the cleaning mode that the pump station cleaning equipment should adopt can be determined, and a pump station cleaning control command can be generated. Furthermore, the pump station cleaning is intelligently controlled according to the pump station cleaning control command, thereby improving the accuracy and comprehensiveness of the pump station cleaning control results. When determining the pump station clogging factor, the following parameters can be used: trash rack level difference, inlet instantaneous flow rate, maximum trash rack level difference, inlet flow rate benchmark, level difference amplification factor, and flow influence coefficient. These parameters represent the degree of clogging. During the calculation, the influence of the trash rack level difference on the degree of clogging and the confidence level of the inlet instantaneous flow rate on the degree of clogging can be comprehensively evaluated to determine the clogging factor, thus improving its accuracy and comprehensiveness. Similarly, when determining the rainfall interference factor, the following parameters can be used: trash rack level difference, maximum trash rack level difference, real-time rainfall, maximum rainfall tolerance, rainfall risk coefficient, and level-rainfall coupling coefficient. These parameters represent the coupled influence of environmental rainfall and pump station water level. During the calculation, the influence of real-time rainfall on the degree of clogging and the amplification of the risk brought by rainfall due to the trash rack level difference can be comprehensively evaluated. The coupling effect of real-time rainfall and trash rack level difference can also be calculated to determine the rainfall interference factor, thus improving its accuracy and comprehensiveness.

[0015] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Other features and aspects of the invention will become clearer from the following detailed description of exemplary embodiments with reference to the accompanying drawings. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other embodiments can be obtained based on these drawings without creative effort. Figure 1 An exemplary flowchart of a pump station cleaning and pollution control method based on multi-source sensor data according to an embodiment of the present invention is shown. Figure 2 A schematic diagram illustrating the determination of pump station cleaning and decontamination decision indicators according to an embodiment of the present invention is shown; Figure 3A schematic diagram illustrating the generation of pump station cleaning and control instructions according to an embodiment of the present invention is shown; Figure 4 A block diagram of a pump station cleaning and decontamination control system based on multi-source sensor data according to an embodiment of the present invention is shown as an example. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] The technical solution of the present invention will be described in detail below with reference to specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.

[0019] Figure 1 An exemplary flowchart illustrates a pump station cleaning and decontamination control method based on multi-source sensor data according to an embodiment of the present invention, the method comprising: Step S1: At multiple moments during the monitoring cycle, multi-source sensor data is acquired by a combination of multi-source sensors set at preset locations. The multi-source sensor data includes: liquid level sensor data, flow sensor data, current sensor data, and rainfall sensor data. Step S2: Obtain pump station design data; Step S3: Based on the multi-source sensor data and the pump station design data, determine the pump station cleaning decision index to represent the urgency of pump station cleaning. Step S4: Set a pump station cleaning and decontamination decision threshold that adapts to the operating conditions of the pump station, wherein the pump station cleaning and decontamination decision threshold includes: a first pump station cleaning and decontamination decision threshold and a second pump station cleaning and decontamination decision threshold; Step S5: Based on the pump station cleaning decision indicators and the pump station cleaning decision threshold, determine the cleaning mode that the pump station cleaning equipment should adopt and generate a pump station cleaning control command. Step S6: Perform pump station cleaning and sewage control according to the pump station cleaning and sewage control command.

[0020] According to an embodiment of the present invention, the pump station cleaning and control method based on multi-source sensor data can acquire multi-source sensor data and pump station design data. Based on the multi-source sensor data and pump station design data, it comprehensively evaluates the degree of blockage of the pump station itself, the degree of blockage attenuation caused by continuous cleaning of the pump station cleaning equipment, and the degree of additional interference from environmental rainfall. It determines the pump station cleaning and control decision index that represents the urgency of pump station cleaning and control. By setting a pump station cleaning and control decision threshold, it determines the cleaning mode that the pump station cleaning equipment should adopt and generates pump station cleaning and control commands. Furthermore, it performs intelligent control of pump station cleaning and control based on the pump station cleaning and control commands, thereby improving the accuracy and comprehensiveness of the pump station cleaning and control results.

[0021] According to an embodiment of the present invention, in step S1, at multiple times during the monitoring cycle, multi-source sensor data is acquired by a combination of multi-source sensors set at preset locations, wherein the multi-source sensor data includes: liquid level sensor data, flow sensor data, current sensor data, and rainfall sensor data.

[0022] For example, multi-source sensor data can be obtained by setting level sensors (such as ultrasonic level gauges, hydrostatic level transmitters), flow sensors (such as electromagnetic flow meters or ultrasonic flow meters), current sensors (such as current transformers) and rainfall sensors (such as tipping bucket rain gauges or weighing rain gauges) at preset locations (such as before and after trash racks, at the inlet of pumping stations, at the motor of the cleaning equipment of pumping stations, and in open areas of pumping stations).

[0023] According to one embodiment of the present invention, in step S2, pump station design data is obtained.

[0024] For example, pump station design data can be obtained through pump station design specifications and the manufacturer's specifications for pump station cleaning equipment.

[0025] According to an embodiment of the present invention, in step S3, a pump station cleaning decision index is determined based on the multi-source sensor data and the pump station design data to represent the urgency of pump station cleaning.

[0026] Figure 2 A schematic diagram illustrating the determination of pump station cleaning and decontamination decision indicators according to an embodiment of the present invention is shown.

[0027] According to an embodiment of the present invention, step S3 includes: Step S31: Determine the pump station blockage factor to represent the degree of blockage of the pump station based on the liquid level sensor data, the flow sensor data and the pump station design data; Step S32: Based on the current sensor data and the pump station design data, determine the equipment load factor used to represent the load level of the pump station's cleaning equipment; Step S33: Based on the liquid level sensor data, the rainfall sensor data, and the pump station design data, determine the rainfall interference factor used to represent the coupled influence of environmental rainfall and pump station water level; Step S34: Determine the pump station cleaning decision index to represent the urgency of pump station cleaning based on the pump station blockage factor, the equipment load factor, and the rainfall interference factor.

[0028] For example, based on data from level sensors, flow sensors, and pump station design data, a pump station blockage factor is comprehensively determined to represent the degree of blockage in the pump station; based on data from current sensors and pump station design data, an equipment load factor is comprehensively determined to represent the load on the pump station's cleaning equipment; based on data from level sensors, rainfall sensors, and pump station design data, a rainfall interference factor is comprehensively determined to represent the coupled influence of environmental rainfall and pump station water level; the pump station cleaning decision index is the sum of the pump station blockage factor, equipment load factor, and rainfall interference factor, representing the urgency of pump station cleaning. The higher the pump station cleaning decision index, the higher the values ​​of each factor, and the more necessary the pump station is to be cleaned to avoid irreversible consequences.

[0029] According to an embodiment of the present invention, step S31 includes: Step S311: Obtain the liquid level difference of the trash rack in the pump station based on the liquid level sensor data; Step S312: Obtain the instantaneous flow rate of the pump station inlet based on the flow sensor data; Step S313: Based on the pump station design data, obtain the maximum liquid level difference of the trash rack that is allowed by the design and the reference value of the inlet flow rate when the pump station inlet is unblocked. Step S314: Set the liquid level difference amplification factor and the flow rate influence factor; Step S315: Determine the pump station blockage factor to represent the degree of pump station blockage based on the liquid level difference of the trash rack, the instantaneous flow rate of the inlet, the maximum liquid level difference of the trash rack, the reference value of the inlet flow rate, the liquid level difference amplification factor, and the flow rate influence coefficient.

[0030] For example, the trash rack level difference refers to the difference in liquid level height between the upstream and downstream of the trash rack at a current moment, directly reflecting the degree of blockage. The more severe the blockage by sediment, the greater the level difference. This can be determined by measuring the liquid level height in real time and calculating the difference using level sensors installed before and after the trash rack. The inlet instantaneous flow rate refers to the instantaneous flow rate of the pump station's inlet pipe at a current moment, reflecting the actual capacity of water to pass through the trash rack. The more severe the blockage by sediment, the smaller the inlet instantaneous flow rate. This can be determined by collecting the volume of water flowing through the inlet in real time and calculating the instantaneous flow rate using a flow sensor installed at the pump station inlet. The maximum level difference of the trash rack refers to the level difference specified in the pump station design specifications. The maximum allowable liquid level difference for safe operation is the maximum level difference allowed by the trash rack. Exceeding this maximum level difference may cause a sudden drop in pump station operating efficiency or damage to pump station equipment. The maximum level difference for the trash rack can be determined through the pump station design manual. For example, if the pump station design manual stipulates that when the liquid level difference before and after the trash rack exceeds 2m, the trash rack cannot effectively filter the water flow, and impurities such as sludge in the water flow will cause irreversible damage to the pump station equipment, then the maximum level difference for the trash rack can be set to 2. The inlet flow rate benchmark value refers to the design flow rate of the inlet pipe under unblocked conditions (with the trash rack kept clean). The inlet flow rate benchmark value can be determined through an inlet water test. For example, if the trash rack is clean and free of foreign objects, an inlet water test can be conducted, and the average flow rate of the inlet pipe is measured to be 10m³. 3 / s, at this time the inlet flow rate reference value can be set to 10; the liquid level difference amplification factor refers to the non-linear amplification factor of the impact of the trash rack liquid level difference on the degree of pump station blockage. It is used to control the influence of the trash rack liquid level difference on the degree of pump station blockage. When the liquid level difference amplification factor is 1, the trash rack liquid level difference has a linear impact on the degree of pump station blockage. When the liquid level difference amplification factor is greater than 1, the impact of the trash rack liquid level difference on the degree of pump station blockage is non-linearly amplified (for example, when the liquid level difference amplification factor is 2, the degree of influence increases from 0.25 to 0.6 when the trash rack liquid level difference increases from 0.5 to 0.6). (Increasing it to 0.36 significantly amplifies the effect). When the level difference amplification factor is less than 1, the influence of the trash rack level difference on the degree of pump station blockage exhibits non-linear suppression, but this does not conform to reality. Generally, the level difference amplification factor is not set less than 1. The level difference amplification factor can be set according to the structure of the trash rack of the pump station. When the spacing between the trash rack bars is smaller and the tilt angle is larger, the speed at which the level difference of the trash rack increases after blockage is faster, and the level difference amplification factor should be set larger. For example, in pump stations with dense trash rack bars, the level difference amplification factor can be set to 2, and in pump stations with sparse trash rack bars, it can be set to 2. The level difference amplification factor can be set to 1.2. The flow rate influence coefficient is a weighting constant for the perception of the pump station's blockage degree by the instantaneous inlet flow rate. It is used to adjust the influence of the instantaneous inlet flow rate on the pump station's blockage degree. The larger the flow rate influence coefficient, the greater the influence of the instantaneous inlet flow rate on the pump station's blockage degree; the smaller the flow rate influence coefficient, the smaller the influence of the instantaneous inlet flow rate on the pump station's blockage degree. The flow rate influence coefficient can be set according to the pump station's usage scenario requirements. For example, when the instantaneous inlet flow rate of the pump station is very sensitive to blockage (e.g., ...). For urban drainage pumping stations, the flow influence coefficient can be set to 1.2. When the instantaneous flow rate at the inlet of the pumping station is more sensitive to clogging (e.g., industrial circulating water pumping stations), the flow influence coefficient can be set to 0.8. Based on the trash rack level difference, the instantaneous flow rate at the inlet, the maximum level difference of the trash rack, the reference value of the inlet flow rate, the level difference amplification factor, and the flow influence coefficient, the influence of the trash rack level difference on the degree of clogging of the pumping station and the confidence level of the instantaneous flow rate at the inlet on the degree of clogging of the pumping station are comprehensively evaluated to determine the pumping station clogging factor used to represent the degree of clogging of the pumping station.

[0031] According to an embodiment of the present invention, step S315 includes: determining the pump station blockage factor at time t of the monitoring period according to formula (1). , (1) in, Let be the difference in the level of the trash rack at time t during the monitoring period. This is the level difference amplification factor. The maximum liquid level difference of the trash rack. To measure the instantaneous flow rate at the inlet at time t during the monitoring period, This is the reference value for the inlet flow rate. This represents the flow rate impact coefficient.

[0032] According to one embodiment of the present invention, The ratio of the level difference of the trash rack at time t in the monitoring period to the maximum level difference of the trash rack indicates the relative degree of blockage of the trash rack at time t in the monitoring period. This indicates the degree of impact of the trash rack level difference on the degree of blockage in the pumping station. This is the level difference amplification factor. The larger the level difference amplification factor, the more... The relative degree of clogging of the pump station's trash rack is relatively minor. The liquid level difference amplification factor means that the impact of the trash rack's liquid level difference on the degree of clogging is smaller. That is, there are fewer foreign objects on the pump station's trash rack that cause clogging, the trash rack is cleaner, and it is less likely to trigger cleaning. The relative clogging of the trash rack at the pump station is quite severe. The level difference amplification factor makes the impact of the trash rack level difference on the degree of clogging on the pump station greater. There are more foreign objects on the trash rack causing clogging, which seriously affects the pump station's operating efficiency and may even lead to damage to the pump station equipment. This makes it easier to trigger cleaning. For the degree of influence of liquid level difference, when The larger the volume of debris, the greater the degree of blockage at the pump station, and the more urgent the need to clean the trash racks at the pump station. The smaller the size, the less blocked the pump station is, and the less urgent it is to clean the trash rack of the pump station, thus avoiding waste caused by excessive cleaning; The ratio of the difference between the inlet flow rate baseline value and the instantaneous inlet flow rate at time t of the monitoring period to the inlet flow rate baseline value represents the relative loss proportion of inlet flow rate. This indicates the degree of influence of the instantaneous flow rate at the inlet on the degree of blockage in the pumping station. The larger the value, the greater the relative loss of inlet flow. This indicates a greater reduction in inlet flow due to blockage of the pump station's trash rack, and a more severe actual blockage at the pump station. The smaller the value, the smaller the relative loss of inlet flow. This is because the less the inlet flow is reduced due to blockage of the pump station's trash rack, and the less severe the actual blockage at the pump station. The overall flow correction term is used to confirm the degree of pump station blockage determined by the trash rack level difference, avoiding misjudgment of the degree of pump station blockage by false trash rack level differences (such as tides and waves). The hyperbolic tangent function is used to map the change in inlet flow loss to the confidence level of the degree of pump station blockage determined by the trash rack level difference, reflecting the state that the greater the loss of inlet flow, the higher the confidence level and the gradual saturation. This indicates that the pump station blockage factor is determined based on the degree of influence of liquid level difference and the overall flow correction term.

[0033] In this way, the pump station clogging factor, which represents the degree of clogging, can be determined based on the trash rack level difference, the instantaneous flow rate at the inlet, the maximum level difference of the trash rack, the reference value of the inlet flow rate, the level difference amplification factor, and the flow rate influence factor. During the calculation process, the influence of the trash rack level difference on the degree of clogging and the confidence level of the instantaneous flow rate at the inlet on the degree of clogging can be comprehensively evaluated to determine the pump station clogging factor, thereby improving the accuracy and comprehensiveness of the pump station clogging factor.

[0034] According to an embodiment of the present invention, step S32 includes: Step S321: Obtain the real-time motor current of the pump station cleaning equipment based on the current sensor data; Step S322: Based on the pump station design data, obtain the no-load current of the motor of the pump station cleaning equipment and the rated operating current of the motor of the pump station cleaning equipment. Step S323: Obtain the most recent motor start time of the pump station's cleaning equipment; Step S324: Set the motor load attenuation coefficient; Step S325: Determine the equipment load factor to represent the load level of the pump station cleaning equipment based on the real-time current of the motor, the no-load current of the motor, the rated operating current of the motor, the most recent motor start-up time, and the motor load attenuation coefficient.

[0035] For example, the real-time motor current refers to the actual operating current of the motor of the pump station's cleaning equipment at the current moment, directly reflecting the motor's load status. The higher the actual operating current, the heavier the motor load. The actual operating current can be collected in real-time by a current sensor installed on the motor. The no-load motor current refers to the rated operating current of the pump station's cleaning equipment motor when it is not under load. This no-load current can be obtained from the pump station's design data and the manufacturer's specifications for the cleaning equipment. The no-load current is used to distinguish whether the cleaning equipment is unloaded or under load. The cleaning equipment only begins effective cleaning when the real-time motor current is greater than the no-load current. The rated operating current refers to the maximum safe operating current designed for the pump station's cleaning equipment motor, i.e., the operating current when the cleaning equipment is fully loaded. This rated operating current can be obtained from the pump station's design data and the manufacturer's specifications for the cleaning equipment. The most recent motor start time refers to... The most recent start time of the pump station's cleaning equipment is the start time of the cleaning operation if the equipment is currently cleaning. This can be obtained from the system's automatically recorded operating records. The motor load attenuation coefficient simulates the natural attenuation rate of the motor load as the debris on the trash rack is gradually cleared. A higher coefficient indicates a slower natural attenuation rate. The coefficient can be set according to the type of debris. For example, if the debris is easily cleared sludge, less time is required, resulting in a faster natural attenuation rate, and the coefficient can be set relatively low (e.g., 1000). Conversely, if the debris is difficult to clear, such as weeds and rocks, more time is required, resulting in a slower natural attenuation rate, and the coefficient can be set relatively high (e.g., 5000).The ratio of the difference between the motor's real-time current and its no-load current to the motor's rated operating current is the motor's relative load ratio, representing the relative load intensity of the pump station's cleaning equipment. A higher relative load intensity means greater resistance to the cleaning machine removing debris, making it harder to clean the debris on the trash rack. This necessitates increasing the operating power of the pump station's cleaning equipment to prevent further blockage. Conversely, a lower relative load intensity means less resistance to the cleaning machine removing debris, making it easier to clean the debris on the trash rack. This necessitates reducing the operating power of the pump station's cleaning equipment to prevent prolonged high-power operation from affecting its lifespan. The difference between the current moment and the most recent motor start time represents the cleaning operation time already completed by the pump station's cleaning equipment. The ratio of the negative cleaning operation time to the motor load attenuation coefficient is raised to the power of the exponent, with base e representing the motor power attenuation term. This indicates the degree of relative load attenuation of the pump station's cleaning equipment at the current moment. The greater the load attenuation, the shorter the cleaning operation time of the pump station's cleaning equipment, the more sediment remains on the trash rack, and the greater the relative load intensity of the motor. It is desirable for the pump station's cleaning equipment to maintain its current operating power. Conversely, the smaller the relative load attenuation, the longer the cleaning operation time, the less sediment remains on the trash rack, and the smaller the relative load intensity of the motor. It is also undesirable for the pump station's cleaning equipment to maintain its current operating power. When the motor's real-time current is greater than its no-load current (i.e., when the pump station's cleaning equipment is under load), the equipment load factor is the product of the motor's relative load ratio and the motor's power attenuation term. This represents the load level of the pump station's cleaning equipment and reflects the degree of blockage during continuous cleaning. A larger equipment load factor indicates more severe blockage, while a smaller equipment load factor indicates milder blockage. When the motor's real-time current is less than or equal to its no-load current (i.e., when the pump station's cleaning equipment is unloaded), the equipment load factor is 0.

[0036] According to an embodiment of the present invention, step S33 includes: Step S331: Obtain the real-time rainfall in the area where the pumping station is located based on the rainfall sensor data; Step S332: Based on the pump station design data, obtain the maximum rainfall tolerance of the water body where the pump station is located, as allowed by the pump station design. Step S333: Set the rainfall risk coefficient and the liquid level rainfall coupling coefficient; Step S334: Based on the trash rack level difference, the maximum trash rack level difference, the real-time rainfall, the maximum rainfall tolerance, the rainfall risk coefficient, and the level-rainfall coupling coefficient, determine the rainfall interference factor used to represent the coupling effect of environmental rainfall and pump station water level.

[0037] For example, real-time rainfall refers to the intensity of precipitation in the area where the pump station is located at the current moment, indicating the severity of environmental precipitation. When the intensity of environmental precipitation is greater, real-time rainfall can be collected by rainfall sensors placed in an open location at the pump station. Maximum rainfall tolerance refers to the extreme rainfall intensity allowed by the pump station's design specifications or safe operation. Exceeding the maximum rainfall tolerance will lead to a larger level difference in the trash rack within a short period, and will also make it easier for debris to impact the trash rack, increasing the risk of blockage. The maximum rainfall tolerance can be determined through the pump station design manual. For example, urban drainage pump stations have a relatively low capacity to withstand short-term rainfall impacts, with a maximum tolerance of 100 mm / h, and the maximum rainfall tolerance can be set to 100. Rainfall risk coefficient refers to the sensitivity of real-time rainfall to the urgency of cleaning the pump station, used to control the impact of the trash rack level difference on the degree of blockage at the pump station. The rainfall risk coefficient can be set according to the actual function of the pump station. For example, when the pump station is used for... For large flood control pumping stations that are extremely sensitive to heavy rain, the rainfall risk coefficient can be set to 3. For small urban pumping stations in arid regions, the rainfall risk coefficient can be set to 0.5. The liquid level-rainfall coupling coefficient is used to adjust the coupling effect between real-time rainfall and the difference in liquid level at the trash rack, enhancing the perception of environmental disturbances during heavy rainfall and high liquid levels. The larger the liquid level-rainfall coupling coefficient, the greater the coupling interference, with the impact increasing exponentially. The liquid level-rainfall coupling coefficient can be set according to the terrain environment of the pumping station, such as for conventional urban drainage pumping stations. The liquid level-rainfall coupling coefficient can be set to 0.3, and the liquid level-rainfall coupling coefficient for river water diversion pumping stations or easily silted-up areas can be set to 0.5. Based on the trash rack liquid level difference, the maximum trash rack liquid level difference, real-time rainfall, maximum rainfall tolerance, rainfall risk coefficient, and liquid level-rainfall coupling coefficient, the influence of real-time rainfall on the degree of pump station blockage and the amplification of the risk brought by rainfall due to the trash rack liquid level difference are comprehensively evaluated. The coupling effect of real-time rainfall and trash rack liquid level difference is calculated, and the rainfall interference factor used to represent the coupling effect of environmental rainfall and pump station water level is determined.

[0038] According to an embodiment of the present invention, step S334 includes: determining the rainfall disturbance factor at the t-th moment of the monitoring period according to formula (2). , (2) in, This refers to the real-time rainfall at time t during the monitoring period. To the maximum rainfall tolerance, For rainfall risk coefficient, Let be the difference in the level of the trash rack at time t during the monitoring period. The maximum liquid level difference of the trash rack. This is the coupling coefficient between liquid level and rainfall.

[0039] According to one embodiment of the present invention, The ratio of the real-time rainfall at time t in the monitoring period to the maximum rainfall tolerance indicates the relative intensity of the real-time rainfall at time t in the monitoring period. This indicates the degree of impact of real-time rainfall on the degree of pump station blockage. This refers to the rainfall risk coefficient. The higher the rainfall risk coefficient, the more likely it is that... The relatively mild intensity of real-time rainfall means that the rainfall risk coefficient reduces the risk of pump station blockage. In other words, the risk of blockage due to debris and impacts on the trash rack caused by environmental precipitation is lower, resulting in a cleaner trash rack and less likelihood of triggering cleaning. The more intense the real-time rainfall, the greater the risk of pump station blockage. The greater the risk of blockage due to debris brought by environmental rainfall and its impact on the trash rack, the higher the risk. Extreme rainfall can also cause a rapid rise in the water level of the area where the pump station is located. Severe blockage at the pump station leads to poor drainage, easily causing floods and other disasters, and is more likely to trigger cleaning operations. The greater the rainfall, the greater the risk of flooding due to intense rainfall and severe pump station blockage, and the more urgent the need to clean the pump station's trash racks. The smaller the time, the lower the risk of flooding due to heavy rainfall and severe blockage of the pumping station, and the less urgent the need to clean the trash racks of the pumping station, thus avoiding waste caused by excessive cleaning; The ratio of the level difference of the trash rack at time t in the monitoring cycle to the maximum level difference of the trash rack represents the relative degree of blockage of the trash rack at the pumping station. This indicates the degree to which the difference in liquid level at the trash rack amplifies the risk posed by rainfall. The larger the volume of rainfall, the more severe the relative clogging of the pump station's trash rack, and the faster the real-time rainfall increases the risk of clogging at the pump station. The smaller the volume, the less severe the relative blockage of the trash rack at the pumping station, and the slower the rate at which real-time rainfall increases the risk of blockage at the pumping station. The logarithmic form is used to reflect that as the trash rack level difference approaches its upper limit, the effect of real-time rainfall on increasing the risk of blockage at the pumping station approaches saturation. The rainfall risk item represents the combined impact of real-time rainfall and the difference in trash rack level on the pump station's blockage risk. The larger the pump, the greater the risk of blockage at the pumping station. The smaller the pumping station, the lower the risk of blockage. This is a comprehensive coupled impact term, representing the degree of amplification of the coupling effect on the rainfall risk term. The liquid level-rainfall coupling coefficient is used to adjust the coupling effect between real-time rainfall and the level difference of the trash rack. When either the real-time rainfall or the level difference of the trash rack approaches 0, the comprehensive coupling term approaches 1. That is, when the relative intensity of the real-time rainfall and the relative blockage of the trash rack are very slight individually, the coupling amplification of the rainfall risk term is smaller. Only when both the real-time rainfall and the level difference of the trash rack are large is the coupling amplification of the rainfall risk term significant. This indicates that the rainfall disturbance factor is determined based on the rainfall risk term and the comprehensive coupled impact term.

[0040] In this way, a rainfall interference factor representing the coupled impact of environmental rainfall and pump station water level can be determined based on the trash rack level difference, maximum trash rack level difference, real-time rainfall, maximum rainfall tolerance, rainfall risk coefficient, and level-rainfall coupling coefficient. During the calculation process, the impact of real-time rainfall on the degree of pump station blockage and the amplification of the risk brought by rainfall due to the trash rack level difference can be comprehensively evaluated. The coupling effect of real-time rainfall and trash rack level difference can also be calculated to determine the rainfall interference factor, thus improving the accuracy and comprehensiveness of the rainfall interference factor.

[0041] According to an embodiment of the present invention, in step S4, a pump station cleaning and decontamination decision threshold adapted to the operating conditions of the pump station is set, wherein the pump station cleaning and decontamination decision threshold includes: a first pump station cleaning and decontamination decision threshold and a second pump station cleaning and decontamination decision threshold.

[0042] For example, the first pump station's cleaning and decontamination decision threshold refers to the maximum tolerance of the pump station for cleaning and decontamination decision indicators. It indicates that the pump station is currently under extreme blockage conditions, where the trash rack level difference, inlet instantaneous flow rate, and real-time rainfall all exceed the pump station's design limits. The first pump station's cleaning and decontamination decision threshold can be set using the maximum values ​​of the pump station's cleaning and decontamination decision indicators from the same historical period. For instance, by statistically analyzing the pump station's cleaning and decontamination decision indicators over the past three years, and selecting the maximum values ​​of the pump station's cleaning and decontamination decision indicators under the same blockage conditions in the same period of each year (within 10 days), if the maximum value is 0.9, then the first pump station's cleaning and decontamination decision threshold is set. The threshold can be set to 0.9. The second pump station cleaning decision threshold refers to the minimum threshold for starting the pump station's cleaning equipment. It indicates that the pump station is currently in a state of slight blockage. The impact of the level difference of the trash rack, the instantaneous flow rate at the inlet, and the real-time rainfall on the degree of blockage is continuously increasing. The second pump station cleaning decision threshold can be set by the average value of the historical pump station cleaning decision indicators. For example, statistical analysis of the pump station cleaning decision indicators over the past three years can be performed, and the average value of the pump station cleaning decision indicators over all time periods can be calculated. If the average value is 0.5, then the second pump station cleaning decision threshold can be set to 0.5.

[0043] According to one embodiment of the present invention, in step S5, the cleaning mode that the pump station cleaning equipment should adopt is determined based on the pump station cleaning decision index and the pump station cleaning decision threshold, and a pump station cleaning control command is generated.

[0044] Figure 3 A schematic diagram illustrating the generation of pump station cleaning and control instructions according to an embodiment of the present invention is shown.

[0045] According to an embodiment of the present invention, step S5 includes: Step S51: When the pump station cleaning decision index is greater than or equal to the first pump station cleaning decision threshold, the pump station cleaning equipment operates at full power and generates a first cleaning control command. Step S52: When the pump station cleaning decision index is less than the first pump station cleaning decision threshold and greater than or equal to the second pump station cleaning decision threshold, the pump station cleaning equipment operates at half power and generates a second cleaning control command. Step S53: When the pump station cleaning decision index is less than the second pump station cleaning decision threshold, the pump station cleaning equipment remains on standby and generates a third cleaning control command.

[0046] For example, when the pump station's cleaning decision index is greater than or equal to the first pump station cleaning decision threshold, short-term extreme rainfall causes a large amount of floating debris to instantly clog the pump station's trash rack, resulting in a very large level difference in the trash rack, a very small instantaneous flow rate at the inlet, extremely low pump station operating efficiency, and the pump suction inlet is almost completely blocked, leading to an impending overload. At this time, the pump station's cleaning equipment needs to remove the obstruction as quickly as possible to restore flow capacity and ensure the safety of the pump station, generating a first cleaning control command for the pump station's cleaning equipment to operate at full power. When the pump station's cleaning decision index is less than the first pump station cleaning decision threshold but greater than or equal to the second pump station cleaning decision threshold, the area experiences continuous but not significant rainfall, and debris continues to adhere to the pump station's trash rack, causing the level difference in the trash rack to rise slowly. When the instantaneous flow rate at the inlet begins to decrease, affecting the pump station's operating efficiency, the pump station's cleaning equipment begins cleaning operations, gradually clearing debris from the pump station's trash rack to control the blockage within a safe range and prevent the situation from worsening. This generates a second cleaning control command for the pump station's cleaning equipment to operate at half power. When the pump station's cleaning decision index is less than the second pump station cleaning decision threshold, the weather in the area where the pump station is located is sunny with no rainfall, the trash rack level difference is very small and within the normal fluctuation range, and the instantaneous flow rate at the inlet also meets the pump station's design standards, the pump station is operating under standard conditions. At this time, the pump station's cleaning equipment does not perform cleaning operations to reduce mechanical wear, generating a third cleaning control command for the pump station's cleaning equipment to remain in standby mode.

[0047] According to one embodiment of the present invention, in step S6, pump station cleaning and control is performed according to the pump station cleaning and control command.

[0048] For example, based on the generated pump station cleaning control command, the pump station cleaning equipment can be controlled to either standby or execute a pump station trash rack cleaning mode between full power operation and half power operation, thereby enabling intelligent control of the pump station cleaning.

[0049] According to an embodiment of the present invention, the pump station cleaning and control method based on multi-source sensor data can acquire multi-source sensor data and pump station design data. Based on the multi-source sensor data and pump station design data, it comprehensively evaluates the degree of blockage of the pump station itself, the degree of blockage attenuation caused by continuous cleaning of the pump station cleaning equipment, and the degree of additional interference from environmental rainfall. It determines the pump station cleaning and control decision index that represents the urgency of pump station cleaning and control. By setting a pump station cleaning and control decision threshold, it determines the cleaning mode that the pump station cleaning equipment should adopt and generates pump station cleaning and control commands. Furthermore, it performs intelligent control of pump station cleaning and control based on the pump station cleaning and control commands, thereby improving the accuracy and comprehensiveness of the pump station cleaning and control results. When determining the pump station clogging factor, the following parameters can be used: trash rack level difference, inlet instantaneous flow rate, maximum trash rack level difference, inlet flow rate benchmark, level difference amplification factor, and flow influence coefficient. These parameters represent the degree of clogging. During the calculation, the influence of the trash rack level difference on the degree of clogging and the confidence level of the inlet instantaneous flow rate on the degree of clogging can be comprehensively evaluated to determine the clogging factor, thus improving its accuracy and comprehensiveness. Similarly, when determining the rainfall interference factor, the following parameters can be used: trash rack level difference, maximum trash rack level difference, real-time rainfall, maximum rainfall tolerance, rainfall risk coefficient, and level-rainfall coupling coefficient. These parameters represent the coupled influence of environmental rainfall and pump station water level. During the calculation, the influence of real-time rainfall on the degree of clogging and the amplification of the risk brought by rainfall due to the trash rack level difference can be comprehensively evaluated. The coupling effect of real-time rainfall and trash rack level difference can also be calculated to determine the rainfall interference factor, thus improving its accuracy and comprehensiveness.

[0050] Figure 4 An exemplary block diagram of a pump station cleaning and desilting control system based on multi-source sensor data according to an embodiment of the present invention is shown, the system comprising: The multi-source sensor module is used to acquire multi-source sensor data at multiple times during the monitoring cycle by using a combination of multi-source sensors set at preset locations. The multi-source sensor data includes: liquid level sensor data, flow sensor data, current sensor data, and rainfall sensor data. The pump station design data module is used to acquire pump station design data; The pump station cleaning decision index module is used to determine the pump station cleaning decision index to represent the urgency of pump station cleaning based on the multi-source sensor data and the pump station design data. The pump station cleaning and pollution decision threshold module is used to set pump station cleaning and pollution decision thresholds that are adapted to the operating conditions of the pump station. The pump station cleaning and pollution decision thresholds include: a first pump station cleaning and pollution decision threshold and a second pump station cleaning and pollution decision threshold. The pump station cleaning and decontamination control instruction module is used to determine the cleaning mode that the pump station cleaning equipment should adopt based on the pump station cleaning and decontamination decision indicators and the pump station cleaning and decontamination decision threshold, and generate pump station cleaning and decontamination control instructions. The pump station cleaning and dewatering control module is used to perform pump station cleaning and dewatering control according to the pump station cleaning and dewatering control instructions.

[0051] This invention can be a method, apparatus, system, and / or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions loaded thereon for performing various aspects of the invention.

[0052] Those skilled in the art should understand that the embodiments of the present invention described above and shown in the accompanying drawings are merely examples and do not limit the present invention. The objectives of the present invention have been fully and effectively achieved. The functions and structural principles of the present invention have been demonstrated and explained in the embodiments, and any variations or modifications may be made to the implementation of the present invention without departing from the stated principles.

Claims

1. A method for controlling the cleaning and dewatering of pumping stations based on multi-source sensor data, characterized in that, include: At multiple moments during the monitoring period, multi-source sensor data is acquired by a combination of multi-source sensors set at preset locations. The multi-source sensor data includes: liquid level sensor data, flow sensor data, current sensor data, and rainfall sensor data. Obtain pump station design data; Based on the multi-source sensor data and the pump station design data, determine the pump station cleaning decision indicators to represent the urgency of pump station cleaning. Set a pump station cleaning and pollution decision threshold that adapts to the operating conditions of the pump station, wherein the pump station cleaning and pollution decision threshold includes: a first pump station cleaning and pollution decision threshold and a second pump station cleaning and pollution decision threshold; Based on the pump station cleaning decision indicators and the pump station cleaning decision threshold, determine the cleaning mode that the pump station cleaning equipment should adopt and generate pump station cleaning control instructions. Pump station cleaning and sewage control is performed according to the aforementioned pump station cleaning and sewage control instructions; Based on the multi-source sensor data and the pump station design data, pump station cleaning decision indicators are determined to represent the urgency of pump station cleaning, including: Based on the liquid level sensor data, the flow sensor data, and the pump station design data, a pump station blockage factor is determined to represent the degree of pump station blockage. Based on the current sensor data and the pump station design data, a device load factor is determined to represent the load level of the pump station's cleaning equipment. Based on the liquid level sensor data, the rainfall sensor data, and the pump station design data, a rainfall interference factor is determined to represent the coupled impact of environmental rainfall and pump station water level. Based on the pump station blockage factor, the equipment load factor, and the rainfall interference factor, determine the pump station cleaning decision index to represent the urgency of pump station cleaning. Based on the liquid level sensor data, the flow sensor data, and the pump station design data, a pump station blockage factor is determined to represent the degree of pump station blockage, including: Based on the liquid level sensor data, the liquid level difference of the trash rack in the pump station is obtained; Based on the data from the flow sensor, the instantaneous flow rate at the pump station inlet is obtained; Based on the pump station design data, obtain the maximum liquid level difference of the trash rack that is allowed by the design and the reference value of the inlet flow rate of the pump station under the condition that the inlet is not blocked; Set the liquid level difference amplification factor and the flow rate influence factor; Based on the level difference of the trash rack, the instantaneous flow rate of the inlet, the maximum level difference of the trash rack, the reference value of the inlet flow rate, the level difference amplification factor, and the flow rate influence coefficient, a pump station blockage factor is determined to represent the degree of blockage in the pump station. Based on the level difference of the trash rack, the instantaneous flow rate at the inlet, the maximum level difference of the trash rack, the reference value of the inlet flow rate, the level difference amplification factor, and the flow rate influence coefficient, a pump station blockage factor is determined to represent the degree of pump station blockage, including: according to the formula: ； Determine the pump station blockage factor at time t of the monitoring period. ,in, Let be the difference in the level of the trash rack at time t during the monitoring period. This is the level difference amplification factor. The maximum liquid level difference of the trash rack. To measure the instantaneous flow rate at the inlet at time t during the monitoring period, This is the reference value for the inlet flow rate. This represents the flow rate impact coefficient.

2. The pump station cleaning and pollution control method based on multi-source sensor data according to claim 1, characterized in that, Based on the current sensor data and the pump station design data, a load factor is determined to represent the load level of the pump station's cleaning equipment, including: Based on the current sensor data, the real-time motor current of the pump station's cleaning equipment is obtained; Based on the pump station design data, obtain the no-load current of the motor of the pump station's cleaning equipment and the rated operating current of the motor of the pump station's cleaning equipment. Get the most recent motor start time of the pump station's cleaning equipment; Set the motor load attenuation coefficient; Based on the real-time current of the motor, the no-load current of the motor, the rated operating current of the motor, the most recent start time of the motor, and the load attenuation coefficient of the motor, a device load factor is determined to represent the load level of the pump station's cleaning equipment.

3. The pump station cleaning and pollution control method based on multi-source sensor data according to claim 1, characterized in that, Based on the liquid level sensor data, the rainfall sensor data, and the pumping station design data, a rainfall interference factor is determined to represent the coupled impact of environmental rainfall and pumping station water level, including: Based on the rainfall sensor data, the real-time rainfall in the area where the pumping station is located is obtained; Based on the pump station design data, obtain the maximum rainfall tolerance allowed by the pump station design for the water body where it is located; Set the rainfall risk coefficient and the liquid level rainfall coupling coefficient; Based on the trash rack level difference, the maximum trash rack level difference, the real-time rainfall, the maximum rainfall tolerance, the rainfall risk coefficient, and the level-rainfall coupling coefficient, a rainfall interference factor is determined to represent the coupling effect of environmental rainfall and pump station water level.

4. The pump station cleaning and pollution control method based on multi-source sensor data according to claim 3, characterized in that, Based on the trash rack level difference, the maximum trash rack level difference, the real-time rainfall, the maximum rainfall tolerance, the rainfall risk coefficient, and the level-rainfall coupling coefficient, a rainfall interference factor is determined to represent the coupled impact of environmental rainfall and pump station water level, including: according to the formula: ； Determine the rainfall disturbance factor at time t of the monitoring period. ,in, This refers to the real-time rainfall at time t during the monitoring period. To the maximum rainfall tolerance, For rainfall risk coefficient, Let be the difference in the level of the trash rack at time t during the monitoring period. The maximum liquid level difference of the trash rack. This is the coupling coefficient between liquid level and rainfall.

5. The pump station cleaning and pollution control method based on multi-source sensor data according to claim 1, characterized in that, Based on the pump station cleaning decision indicators and the pump station cleaning decision threshold, determine the cleaning mode that the pump station cleaning equipment should adopt, and generate pump station cleaning control instructions, including: When the pump station cleaning decision index is greater than or equal to the first pump station cleaning decision threshold, the pump station cleaning equipment operates at full power and generates a first cleaning control command. When the pump station cleaning decision index is less than the first pump station cleaning decision threshold and greater than or equal to the second pump station cleaning decision threshold, the pump station cleaning equipment operates at half power and generates a second cleaning control command. When the pump station cleaning decision index is less than the second pump station cleaning decision threshold, the pump station cleaning equipment remains on standby and generates a third cleaning control command.

6. A pump station cleaning and control system based on multi-source sensor data, characterized in that, The system is used to perform the method of any one of claims 1-5, comprising: The multi-source sensor module is used to acquire multi-source sensor data at multiple times during the monitoring cycle by using a combination of multi-source sensors set at preset locations. The multi-source sensor data includes: liquid level sensor data, flow sensor data, current sensor data, and rainfall sensor data. The pump station design data module is used to acquire pump station design data; The pump station cleaning decision index module is used to determine the pump station cleaning decision index to represent the urgency of pump station cleaning based on the multi-source sensor data and the pump station design data. The pump station cleaning and pollution decision threshold module is used to set pump station cleaning and pollution decision thresholds that are adapted to the operating conditions of the pump station. The pump station cleaning and pollution decision thresholds include: a first pump station cleaning and pollution decision threshold and a second pump station cleaning and pollution decision threshold. The pump station cleaning and decontamination control instruction module is used to determine the cleaning mode that the pump station cleaning equipment should adopt based on the pump station cleaning and decontamination decision indicators and the pump station cleaning and decontamination decision threshold, and generate pump station cleaning and decontamination control instructions. The pump station cleaning and dewatering control module is used to perform pump station cleaning and dewatering control according to the pump station cleaning and dewatering control instructions.

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