A sump intelligent monitoring method and system

Abstract

An embodiment of the present invention provides an intelligent monitoring method and system for a sump, wherein the method determines the water inflow rate of the sump when detecting that the water level in the sump reaches a preset height; digitally models the sump and the water pump respectively to generate a first digital model of the sump and a second digital model of the water pump; constructs a first sludge distribution model in the sump based on first ultrasonic data obtained after detecting the sludge in the sump; determines a first layout position of the water pump in the sump where it will not come into contact with the sludge based on the overlap of the second digital model in the first digital model with the first sludge distribution model; determines a first target gear position based on the concentration of suspended solid particles in the water body at the first layout position and the water inflow rate; controls the water pump to perform drainage operations at the first target gear position at the first layout position; and the implementation of the present invention can reduce the probability of water overflow in the sump.

Description

Technical Field

[0001] The present invention relates to the field of sump monitoring, and in particular to an intelligent sump monitoring method and system. Background Art

[0002] In low-lying areas such as power plants or construction sites, where there may not be a complete drainage system for various reasons, or where sewage cannot be discharged in a timely manner through the existing drainage system, it is generally necessary to dig a sump to temporarily collect the sewage or miscellaneous water that needs to be discharged. The sewage is then pumped out of the sump through a drainage system such as a pump body and discharged. However, long-term use will cause the silt in the sump to gradually accumulate, which in turn affects the drainage speed of the water pump, causing sewage to overflow the sump. In addition, the water pump in the sump with current technology uses a fixed power and cannot adjust the output power according to the water inflow speed. As a result, no matter how fast the water inflow speed is, the drainage speed is lower than the water inflow speed, which in turn causes sewage overflow. Summary of the Invention

[0003] An embodiment of the present invention provides an intelligent monitoring method for a sump, which can increase the drainage speed of a water pump to reduce the probability of water overflow in the sump.

[0004] An embodiment of the present invention provides an intelligent monitoring method for a sump, comprising: upon detecting that the water level in the sump reaches a preset height, obtaining a height change of the water level within a previous preset period, and determining a water inflow rate into the sump based on the height change;

[0005] Digitally modeling the sump and the water pump according to their geometric data to generate a first digital model of the sump and a second digital model of the water pump;

[0006] Acquiring first ultrasonic data obtained by detecting silt in the sump using an ultrasonic mud meter, and constructing a first silt distribution model for characterizing the distribution of silt in the sump within the first digital model based on the first ultrasonic data;

[0007] adding the second digital model to the first digital model at different positions within the first digital model, and then using positions of the second digital model that do not overlap with the first silt distribution model as first positions to be selected;

[0008] Selecting a position from each of the first to-be-selected positions as a first target position, and then determining a first layout position of the water pump in the sump according to an actual position corresponding to the first target position in the sump;

[0009] Determine the drainage speed of the water pump at different working gears based on the concentration of suspended solid particles in the water body at the first deployment position, and select the working gear corresponding to when the drainage speed is greater than the water inlet speed as the working gear to be selected; and select the gear with the lowest power among the working gears to be selected as the first target gear;

[0010] The water pump is controlled to be at the first layout position and to perform drainage operation at the first target gear position.

[0011] Furthermore, selecting a position from each first to-be-selected position as the first target position includes:

[0012] For each first position to be selected, calculating a first distance between the center point of the first position to be selected and the silt distribution model in each direction; wherein each direction corresponds to a weight coefficient, and the weight coefficient is determined according to the suction force of the water pump in the corresponding direction;

[0013] Calculating a weighted average distance between the first to-be-selected position and the silt distribution model according to the first distances and a weight parameter of a direction corresponding to each first distance;

[0014] The first to-be-selected position with the largest weighted average distance is used as the first target position.

[0015] Furthermore, selecting a position from each first to-be-selected position as the first target position further includes:

[0016] If there are multiple first positions to be selected with the largest weighted average distance, the first positions to be selected with the largest weighted average distance are used as the second position to be selected;

[0017] Calculating a second distance between each second to-be-selected position and the bottom of the sump in the first digital model;

[0018] According to each second distance, the second to-be-selected position closest to the bottom of the sump is used as the first target position.

[0019] Furthermore, determining the drainage speed of the water pump at different working gears according to the concentration of suspended solid particles in the water body at the first layout position includes:

[0020] Inputting the concentration of suspended solid particles and each working gear of the water pump into a drainage speed prediction model, so that the drainage speed prediction model generates the drainage speed at each working gear according to the concentration of suspended solid particles and each working gear;

[0021] Among them, when training the drainage speed prediction model, the concentration of each suspended solid particle and each working gear are used as input, and the concentration of the corresponding suspended solid particles and the predicted drainage speed under the working gear are used as output. The loss function value is calculated based on the predicted drainage speed and the actual drainage speed, and the network parameters of the drainage speed prediction model are updated according to the loss function value until the loss function value converges.

[0022] Furthermore, if the second digital model overlaps with the first silt distribution model at each position within the first digital model, the position where the overlap between the second digital model and the first silt distribution model is the smallest is used as the second target position;

[0023] Determine a second layout position of the water pump in the sump according to the actual position corresponding to the second target position in the sump; and use the gear with the highest power among the working gears of the water pump as the second target gear;

[0024] The water pump is controlled to be at the second layout position, to perform drainage operation at the second target gear, and to generate an alarm message indicating excessive silt to issue an alarm.

[0025] Furthermore, the method further includes: after the water pump drainage time exceeds a preset time, re-acquiring ultrasonic data obtained by the ultrasonic mud meter after detecting the silt in the sump to obtain second ultrasonic data;

[0026] constructing a second silt distribution model within the first digital model based on the second ultrasonic data;

[0027] calculating a similarity between the second silt distribution model and the first silt distribution model, and if the similarity is lower than a preset similarity threshold, adding the second digitized model to the first digitized model at different positions within the first digitized model, and then selecting positions where the second digitized model does not overlap with the second silt distribution model as third positions to be selected;

[0028] Selecting a position from each of the third to-be-selected positions as an updated third target position, and then determining a third layout position of the water pump in the sump according to an actual position corresponding to the third target position in the sump;

[0029] Determine the drainage speed of the water pump at different operating gears based on the concentration of suspended solid particles in the water body at the third layout position, and use the operating gear corresponding to when the drainage speed is greater than the water inlet speed as the updated working gear to be selected; and use the gear with the lowest power among the updated working gears to be selected as the updated third target gear;

[0030] The water pump is controlled to be at a third layout position and a third target gear position to continue the drainage operation.

[0031] Furthermore, the calculating the similarity between the second sludge distribution model and the first sludge distribution model includes:

[0032] The degree of overlap between the second sludge distribution model and the first sludge distribution model is calculated, and the degree of overlap is used as the similarity between the second sludge distribution model and the first sludge distribution model.

[0033] Furthermore, the method further includes: if the similarity is not less than a preset similarity threshold, re-obtaining the concentration of suspended solid particles in the water body at the current deployment position, and then determining the fourth target gear position according to the re-obtained concentration of suspended solid particles;

[0034] The water pump is controlled to continue the drainage operation at the current layout position and the fourth target gear.

[0035] Based on the above method embodiment, the present invention provides a corresponding intelligent monitoring system for a sump, comprising: a host computer, an ultrasonic mud meter, an ultrasonic water level meter, a water pump, and a water pump arrangement mechanism;

[0036] The ultrasonic water level meter is used to detect the water level in the sump in real time and transmit the detected water level data to the host computer;

[0037] The ultrasonic mud meter is used to detect the silt in the sump in real time and transmit the detected ultrasonic data to the host computer;

[0038] The host computer is used to obtain the height change of the water level in the previous preset time period when it is determined based on the water level data that the water level in the sump has reached a preset height, and determine the water inflow speed of the sump based on the height change;

[0039] Digitally modeling the sump and the water pump according to their geometric data to generate a first digital model of the sump and a second digital model of the water pump;

[0040] Acquiring first ultrasonic data obtained by an ultrasonic mud meter after detecting silt in the sump when the water level in the sump reaches a preset height, and constructing a first silt distribution model for characterizing the distribution of silt in the sump within the first digital model based on the first ultrasonic data;

[0041] adding the second digital model to the first digital model at different positions within the first digital model, and then using positions of the second digital model that do not overlap with the first silt distribution model as first positions to be selected;

[0042] Selecting a position from each of the first to-be-selected positions as a first target position, and then determining a first layout position of the water pump in the sump according to an actual position corresponding to the first target position in the sump;

[0043] Determine the drainage speed of the water pump at different working gears based on the concentration of suspended solid particles in the water body at the first deployment position, and select the working gear corresponding to when the drainage speed is greater than the water inlet speed as the working gear to be selected; and select the gear with the lowest power among the working gears to be selected as the first target gear;

[0044] The water pump arrangement mechanism is controlled to arrange the water pump at the first arrangement position, and then the water pump is controlled to perform drainage operation at the first target gear position at the first arrangement position.

[0045] Furthermore, the host computer is further configured to, when the second digital model overlaps with the first silt distribution model at each position within the first digital model, select the position where the overlapping area between the second digital model and the first silt distribution model is the smallest as the second target position;

[0046] Determine a second layout position of the water pump in the sump according to the actual position corresponding to the second target position in the sump; and use the gear with the highest power among the working gears of the water pump as the second target gear;

[0047] The water pump is controlled to be at the second layout position, to perform drainage operation at the second target gear, and to generate an alarm message indicating excessive silt to issue an alarm.

[0048] The following beneficial effects are achieved by implementing the embodiments of the present invention:

[0049] An embodiment of the present invention provides an intelligent sump monitoring method and system. Upon detecting that the water level in the sump has reached a preset height, the method obtains a change in the water level within a previous preset time period and determines a water inflow rate into the sump based on the change in height. The method then digitally models the sump and pump based on their geometric data, generating a first digital model of the sump and a second digital model of the pump. A first sludge distribution model is constructed based on first ultrasonic data obtained after detecting sludge in the sump. Based on overlap between the second digital model and the first sludge distribution model within the first digital model, positions of the second digital model that do not overlap with the first sludge distribution model are selected as first candidate positions. A position is selected from each first candidate position as a first target position, and a first placement position of the pump in the sump is determined based on the actual position of the first target position in the sump. This method prevents the deployed pump from coming into contact with settled sludge in the sump, thereby increasing the pump's drainage rate and reducing the probability of water overflow. Then, according to the concentration of suspended solid particles in the water body at the first layout position, the drainage speed of the water pump at different working gears is determined, and the working gear corresponding to the drainage speed being greater than the water inlet speed is used as the working gear to be selected; the gear with the smallest power among the working gears to be selected is used as the first target gear; then the water pump is controlled to perform drainage operations at the first layout position at the first target gear; according to the water inlet speed, the gear with the lowest power that can make the drainage speed greater than the water inlet speed is dynamically selected as the gear for the water pump to drain. On the one hand, the drainage speed can be made greater than the water inlet speed to avoid water overflow, and on the other hand, the energy consumption of the water pump can be saved. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 The figure is a flow chart of a method for intelligent monitoring of a sump provided by one embodiment of the present invention.

[0051] Figure 2 This is a system architecture diagram of a sump intelligent monitoring system provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0053] like Figure 1 As shown, an embodiment of the present invention provides a method for intelligent monitoring of a sump, comprising:

[0054] S1: When it is detected that the water level in the sump reaches a preset height, a height change of the water level in a previous preset time period is obtained, and a water inflow speed of the sump is determined according to the height change.

[0055] Specifically, the present invention is provided with an ultrasonic water level meter, which monitors the water level in the sump in real time and transmits the detected water level data to a host computer. The host computer analyzes the received water level data. When the water level in the sump reaches a preset height, the host computer obtains the water level data at each moment in the previous preset time period when the water level reaches the preset height. For example, the host computer obtains the water level data at each moment in the previous hour. Then, based on the water level data at each moment in the previous preset time period, the height change of the water level in the preset time period is determined. Based on the height change and the size of the sump, the water inflow in the preset time period can be determined. Based on the ratio of the water inflow in the preset time period to the duration of the preset time period, the water inflow speed of the sump can be determined. In an optional embodiment, the sump can be a cylindrical sump.

[0056] S2: Based on the geometric data of the sump and the water pump, digitally model the sump and the water pump respectively to generate a first digital model of the sump and a second digital model of the water pump.

[0057] Specifically, the dimensions of the sump and the water pump are obtained, and digital modeling is performed using existing 3D modeling software, such as AutoCAD, PTC Creo, or SolidWorks, to generate a first digital model corresponding to the sump and a second digital model corresponding to the water pump;

[0058] S3: Acquire first ultrasonic data obtained after the ultrasonic mud meter detects the silt in the sump, and construct a first silt distribution model for characterizing the distribution of silt in the sump within the first digital model based on the first ultrasonic data.

[0059] Specifically, an ultrasonic mud meter is provided in the present invention, which detects the silt that has settled in the sump in real time through the ultrasonic mud meter, and transmits the ultrasonic data obtained by detection to the host computer. When it is determined that the water level in the sump has reached a preset height, the host computer obtains the ultrasonic data at this moment, i.e., the above-mentioned first ultrasonic data, and determines the distribution of the silt that has settled in the sump based on the first ultrasonic data, including its height, width and length at various locations in the sump. After obtaining these data, a silt distribution model is drawn on the first digital model of the sump at the same proportion as when the sump was modeled, thereby obtaining the above-mentioned first silt distribution model.

[0060] S4: adding the second digital model to the first digital model at different positions within the first digital model, and then taking positions of the second digital model that do not overlap with the first silt distribution model as first positions to be selected.

[0061] Specifically, the second digital model is added to the first digital model and continuously moved in a preset order, so that the second digital model is located at different positions within the first digital model. Each time the model is moved, it is determined whether the second digital model overlaps with the first silt distribution model at the current position. If so, this indicates that if the water pump were placed in the actual position of the sump corresponding to the current position, the water pump would come into direct contact with the silt in the sump. This would significantly reduce the drainage speed of the water pump due to the silt. Therefore, in this embodiment, the positions where the second digital model does not overlap with the first silt distribution model are designated as the first positions to be selected. Thus, if the water pump is placed in the actual positions corresponding to these first positions to be selected, it will not come into contact with the silt in the sump, greatly improving the drainage speed.

[0062] S5: Select a position from each first position to be selected as a first target position, and then determine a first layout position of the water pump in the sump according to the actual position corresponding to the first target position in the sump.

[0063] In an optional embodiment, a position may be randomly selected from the first to-be-selected positions as the first target position;

[0064] In another optional embodiment, a position is selected from each first position to be selected as the first target position, including: for each first position to be selected, calculating the first distance between the center point of the first position to be selected and the sludge distribution model in each direction; wherein each direction corresponds to a weight coefficient, and the weight coefficient is determined according to the suction of the water pump in the corresponding direction; according to the first distance and the weight parameter of each direction corresponding to the first distance, calculating the weighted average distance between the first position to be selected and the sludge distribution model; and taking the first position to be selected with the largest weighted average distance as the first target position.

[0065] In this embodiment, after the pump is operating, the suction force may cause the originally settled silt to move during the drainage process. In order to minimize contact between the moved silt and the pump after the pump is operating, a position farther away from the silt is selected as the optimal position. However, since the suction force of the pump in different directions is inconsistent during operation, in addition to considering the distance between the pump and the silt, it is also necessary to consider the suction force of the pump in different directions to better measure the contact between the silt and the pump after the pump is operating. To this end, in this embodiment, a weight coefficient is set for the suction force of the pump in each direction. The stronger the suction force, the greater the weight coefficient. Based on the weight coefficients in each direction and the corresponding first distance, a weighted average distance is calculated. The first selected position with the largest weighted average distance is used as the first target position. This position is the position where the probability of contact between the pump and the moved silt is minimized after the pump is started. This further improves the drainage speed of the pump.

[0066] In a preferred embodiment, selecting a position from each first position to be selected as the first target position further includes:

[0067] If there are multiple first positions to be selected with the largest weighted average distance, the first positions to be selected with the largest weighted average distance are used as the second position to be selected;

[0068] Calculating a second distance between each second to-be-selected position and the bottom of the sump in the first digital model;

[0069] According to each second distance, the second to-be-selected position closest to the bottom of the sump is used as the first target position.

[0070] In this embodiment, if there are multiple first target locations with the same maximum weighted average distance, the second distance between each location and the bottom of the sump in the first digital model is calculated, and the location closest to the bottom of the sump is used as the first target location. This allows the water pump to be placed as deep as possible to ensure sufficient water discharge, avoiding the situation where the water pump is placed too shallow, resulting in a problem with drainage after the water level drops.

[0071] S6: Determine the drainage speed of the water pump at different working gears based on the concentration of suspended solid particles in the water body at the first layout position, and use the working gear corresponding to when the drainage speed is greater than the water inlet speed as the working gear to be selected; and use the gear with the smallest power among the working gears to be selected as the first target gear.

[0072] In a preferred embodiment, determining the drainage speed of the water pump at different working gears according to the concentration of suspended solid particles in the water body at the first layout position includes:

[0073] Inputting the concentration of suspended solid particles and each working gear of the water pump into a drainage speed prediction model, so that the drainage speed prediction model generates the drainage speed at each working gear according to the concentration of suspended solid particles and each working gear;

[0074] Among them, when training the drainage speed prediction model, the concentration of each suspended solid particle and each working gear are used as input, and the concentration of the corresponding suspended solid particles and the predicted drainage speed under the working gear are used as output. The loss function value is calculated based on the predicted drainage speed and the actual drainage speed, and the network parameters of the drainage speed prediction model are updated according to the loss function value until the loss function value converges.

[0075] Specifically, in the actual drainage process, in addition to the settled silt, the concentration of suspended solid particles in the water body and the gear position of the water pump during operation also affect the drainage speed. After the aforementioned steps have significantly reduced the impact of the settled silt on the water pump's drainage through position adjustment, in this embodiment, training samples are constructed using different suspended solid particle concentrations and different operating gears. Each training sample corresponds to a suspended solid particle concentration and an operating gear. The actual drainage speed corresponding to each training sample is used as a label to perform supervised training on a preset neural network model to construct the above-mentioned drainage speed prediction model. After the model is constructed, the current suspended solid particle concentration and each operating gear position of the water pump are input into the drainage speed prediction model, so that the drainage speed prediction model generates the drainage speed at each operating gear position based on the suspended solid particle concentration and each operating gear position. Next, the operating gear corresponding to the drainage speed being greater than the water inlet speed is selected as the working gear to be selected. The gear position with the lowest power among the working gear positions to be selected is selected as the first target gear position. In this way, the gear with the minimum power that can meet the drainage needs can be selected, taking into account both drainage speed and energy consumption.

[0076] Schematically, the concentration of suspended solid particles in water can also be measured by an ultrasonic mud meter.

[0077] S7: Control the water pump at the first layout position to perform drainage operation at the first target gear position.

[0078] Schematically, in the present invention, a crane for lifting a water pump is provided as a water pump placement mechanism. The crane is connected to the base provided on the water pump casing through ropes. The upper computer controls the crane to lift the water pump to the first placement position, and controls the water pump to perform drainage operations according to the above-mentioned first target gear.

[0079] In a preferred embodiment, the method further includes: if the second digital model overlaps with the first silt distribution model at each position within the first digital model, then taking the position where the overlap between the second digital model and the first silt distribution model is the smallest as the second target position;

[0080] Determine a second layout position of the water pump in the sump according to the actual position corresponding to the second target position in the sump; and use the gear with the highest power among the working gears of the water pump as the second target gear;

[0081] The water pump is controlled to be at the second layout position, to perform drainage operation at the second target gear, and to generate an alarm message indicating excessive silt to issue an alarm.

[0082] In this embodiment, if the second digital model overlaps with the first silt distribution model at all locations within the first digital model, it indicates that there is too much silt in the sump and no location can be found that does not contact the silt. Therefore, only a location with minimal contact with the silt can be selected as the pump's placement location in the sump. The location with the smallest overlap between the second digital model and the first silt distribution model is then used as the second target location. Based on the actual location of the second target location in the sump, the second pump placement location is determined. This second location is the location with the least contact with the silt. At the second target location, the pump is then controlled at maximum power to drain the water. Since contact with the silt is unavoidable, the pump is then controlled to operate at maximum power to offset the effect of the silt on the drainage rate.

[0083] In a preferred embodiment, the method further includes: after the water pump drainage time exceeds a preset time, re-acquiring ultrasonic data obtained by the ultrasonic mud meter after detecting the sludge in the sump to obtain second ultrasonic data;

[0084] constructing a second silt distribution model within the first digital model based on the second ultrasonic data;

[0085] calculating a similarity between the second silt distribution model and the first silt distribution model, and if the similarity is lower than a preset similarity threshold, adding the second digitized model to the first digitized model at different positions within the first digitized model, and then selecting positions where the second digitized model does not overlap with the second silt distribution model as third positions to be selected;

[0086] Selecting a position from each of the third to-be-selected positions as an updated third target position, and then determining a third layout position of the water pump in the sump according to an actual position corresponding to the third target position in the sump;

[0087] Determine the drainage speed of the water pump at different operating gears based on the concentration of suspended solid particles in the water body at the third layout position, and use the operating gear corresponding to when the drainage speed is greater than the water inlet speed as the updated working gear to be selected; and use the gear with the lowest power among the updated working gears to be selected as the updated third target gear;

[0088] The water pump is controlled to be at a third layout position and a third target gear position to continue the drainage operation.

[0089] In a preferred embodiment, the calculating the similarity between the second sludge distribution model and the first sludge distribution model includes:

[0090] The degree of overlap between the second sludge distribution model and the first sludge distribution model is calculated, and the degree of overlap is used as the similarity between the second sludge distribution model and the first sludge distribution model.

[0091] In a preferred embodiment, the method further comprises: if the similarity is not lower than a preset similarity threshold, re-obtaining the concentration of suspended solid particles in the water body at the current deployment position, and then determining the fourth target gear position according to the re-obtained concentration of suspended solid particles;

[0092] The water pump is controlled to continue the drainage operation at the current layout position and the fourth target gear.

[0093] Specifically, since the flow of water during the drainage process of the water pump will cause the originally settled silt to change, if the drainage time exceeds the preset time, the ultrasonic data obtained by the ultrasonic mud meter after detecting the silt in the sump is re-acquired, which is the second ultrasonic data; then, based on the second ultrasonic data, a second silt distribution model is constructed within the first digital model; by calculating the degree of overlap between the second silt distribution model and the first silt distribution model, the similarity between the two is determined. If the similarity is lower than the preset similarity threshold, the position of the second digital model that does not overlap with the second silt distribution model is determined within the first digital model in the same manner as the above steps to obtain the above third positions to be selected; then, based on the same method as the above steps, a third target position is selected, and then, based on the third target position, the layout position in the actual sump is determined, i.e., the above third layout position; finally, based on the concentration of suspended solid particles in the water at the third layout position, a third target gear is determined in the same manner, and the water pump is controlled to continue the drainage operation at the third layout position and the third target gear.

[0094] If the similarity is not lower than the preset similarity threshold, it means that the shape of the settled sludge has not changed significantly at this time. However, since the concentration of suspended solid particles in the water body will change significantly, the water pump can be kept unchanged at the current layout position, and a new working gear, that is, the fourth target gear, can be determined based on the re-acquired concentration of suspended solid particles. Then, the water pump is controlled at the original layout position to perform drainage operations at the fourth target gear.

[0095] Through the above embodiment, the working gear and / or layout position of the water pump can be dynamically adjusted according to different situations during the drainage process to maintain the optimal drainage speed.

[0096] Based on the above method embodiments, the present invention provides corresponding system embodiments.

[0097] like Figure 2 An embodiment of the present invention provides an intelligent monitoring system for a sump, comprising: a host computer, an ultrasonic mud meter, an ultrasonic water level meter, a water pump, and a water pump arrangement mechanism;

[0098] The ultrasonic water level meter is used to detect the water level in the sump in real time and transmit the detected water level data to the host computer;

[0099] The ultrasonic mud meter is used to detect the silt in the sump in real time and transmit the detected ultrasonic data to the host computer;

[0100] The host computer is used to obtain the height change of the water level in the previous preset time period when it is determined based on the water level data that the water level in the sump has reached a preset height, and determine the water inflow speed of the sump based on the height change;

[0101] Digitally modeling the sump and the water pump according to their geometric data to generate a first digital model of the sump and a second digital model of the water pump;

[0102] Acquiring first ultrasonic data obtained by an ultrasonic mud meter after detecting silt in the sump when the water level in the sump reaches a preset height, and constructing a first silt distribution model for characterizing the distribution of silt in the sump within the first digital model based on the first ultrasonic data;

[0103] adding the second digital model to the first digital model at different positions within the first digital model, and then using positions of the second digital model that do not overlap with the first silt distribution model as first positions to be selected;

[0104] Selecting a position from each of the first to-be-selected positions as a first target position, and then determining a first layout position of the water pump in the sump according to an actual position corresponding to the first target position in the sump;

[0105] Determine the drainage speed of the water pump at different working gears based on the concentration of suspended solid particles in the water body at the first deployment position, and select the working gear corresponding to when the drainage speed is greater than the water inlet speed as the working gear to be selected; and select the gear with the lowest power among the working gears to be selected as the first target gear;

[0106] The water pump arrangement mechanism is controlled to arrange the water pump at the first arrangement position, and then the water pump is controlled to perform drainage operation at the first target gear position at the first arrangement position.

[0107] Furthermore, the host computer is further configured to, when the second digital model overlaps with the first silt distribution model at each position within the first digital model, select the position where the overlapping area between the second digital model and the first silt distribution model is the smallest as the second target position;

[0108] Determine a second layout position of the water pump in the sump according to the actual position corresponding to the second target position in the sump; and use the gear with the highest power among the working gears of the water pump as the second target gear;

[0109] The water pump is controlled to be at the second layout position, to perform drainage operation at the second target gear, and to generate an alarm message indicating excessive silt to issue an alarm.

[0110] It should be noted that the above-mentioned system item embodiments correspond to the method item embodiments of the present invention, and the host computer in the system item can implement the intelligent monitoring method for sump described in any of the above-mentioned method item embodiments of the present invention.

[0111] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for intelligent monitoring of a sump, characterized in that: include: When it is detected that the water level in the sump reaches a preset height, a height change of the water level in the previous preset period is obtained, and a water inflow speed of the sump is determined according to the height change; Digitally modeling the sump and the water pump according to their geometric data to generate a first digital model of the sump and a second digital model of the water pump; Acquiring first ultrasonic data obtained by detecting silt in the sump using an ultrasonic mud meter, and constructing a first silt distribution model for characterizing the distribution of silt in the sump within the first digital model based on the first ultrasonic data; adding the second digital model to the first digital model at different positions within the first digital model, and then using positions of the second digital model that do not overlap with the first silt distribution model as first positions to be selected; Selecting a position from each of the first to-be-selected positions as a first target position, and then determining a first layout position of the water pump in the sump according to an actual position corresponding to the first target position in the sump; Determine the drainage speed of the water pump at different working gears based on the concentration of suspended solid particles in the water body at the first deployment position, and select the working gear corresponding to when the drainage speed is greater than the water inlet speed as the working gear to be selected; and select the gear with the lowest power among the working gears to be selected as the first target gear; The water pump is controlled to be at the first layout position and to perform drainage operation at the first target gear position.

2. The intelligent monitoring method for a sump according to claim 1, characterized in that: Selecting a position from each first to-be-selected position as a first target position includes: For each first position to be selected, calculating a first distance between the center point of the first position to be selected and the silt distribution model in each direction; wherein each direction corresponds to a weight coefficient, and the weight coefficient is determined according to the suction force of the water pump in the corresponding direction; Calculating a weighted average distance between the first to-be-selected position and the silt distribution model according to the first distances and a weight parameter of a direction corresponding to each first distance; The first to-be-selected position with the largest weighted average distance is used as the first target position.

3. The intelligent monitoring method for a sump according to claim 2, characterized in that: Selecting a position from each first to-be-selected position as the first target position also includes: If there are multiple first positions to be selected with the largest weighted average distance, the first positions to be selected with the largest weighted average distance are used as the second position to be selected; Calculating a second distance between each second to-be-selected position and the bottom of the sump in the first digital model; According to each second distance, the second to-be-selected position closest to the bottom of the sump is used as the first target position.

4. The intelligent monitoring method for a sump according to claim 3, characterized in that: The method of determining the drainage speed of the water pump at different working gears according to the concentration of suspended solid particles in the water body at the first layout position includes: Inputting the concentration of suspended solid particles and each working gear of the water pump into a drainage speed prediction model, so that the drainage speed prediction model generates the drainage speed at each working gear according to the concentration of suspended solid particles and each working gear; Among them, when training the drainage speed prediction model, the concentration of each suspended solid particle and each working gear are used as input, and the concentration of the corresponding suspended solid particles and the predicted drainage speed under the working gear are used as output. The loss function value is calculated based on the predicted drainage speed and the actual drainage speed, and the network parameters of the drainage speed prediction model are updated according to the loss function value until the loss function value converges.

5. The intelligent monitoring method for a sump according to claim 4, characterized in that: Also includes: If the second digital model overlaps with the first silt distribution model at all positions within the first digital model, the position where the overlap between the second digital model and the first silt distribution model is the smallest is used as the second target position; Determine a second layout position of the water pump in the sump according to the actual position corresponding to the second target position in the sump; and use the gear with the highest power among the working gears of the water pump as the second target gear; The water pump is controlled to be at the second layout position, to perform drainage operation at the second target gear position, and to generate an alarm message indicating excessive silt to issue an alarm.

6. The intelligent monitoring method for a sump according to claim 5, characterized in that: Also includes: After the water pump drainage time exceeds the preset time, the ultrasonic data obtained by the ultrasonic mud meter after detecting the silt in the sump is obtained again to obtain the second ultrasonic data; constructing a second silt distribution model within the first digital model based on the second ultrasonic data; calculating a similarity between the second silt distribution model and the first silt distribution model, and if the similarity is lower than a preset similarity threshold, adding the second digitized model to the first digitized model at different positions within the first digitized model, and then selecting positions where the second digitized model does not overlap with the second silt distribution model as third positions to be selected; Selecting a position from each of the third to-be-selected positions as an updated third target position, and then determining a third layout position of the water pump in the sump according to an actual position corresponding to the third target position in the sump; Determine the drainage speed of the water pump at different operating gears based on the concentration of suspended solid particles in the water body at the third layout position, and use the operating gear corresponding to when the drainage speed is greater than the water inlet speed as the updated working gear to be selected; and use the gear with the lowest power among the updated working gears to be selected as the updated third target gear; The water pump is controlled to be at a third layout position and a third target gear position to continue the drainage operation.

7. The intelligent monitoring method for a sump according to claim 6, characterized in that: Calculating the similarity between the second sludge distribution model and the first sludge distribution model includes: The degree of overlap between the second sludge distribution model and the first sludge distribution model is calculated, and the degree of overlap is used as the similarity between the second sludge distribution model and the first sludge distribution model.

8. The intelligent monitoring method for a sump according to claim 7, characterized in that: Also includes: If the similarity is not lower than a preset similarity threshold, re-obtaining the concentration of suspended solid particles in the water body at the current deployment position, and then determining the fourth target gear according to the re-obtained concentration of suspended solid particles; The water pump is controlled to continue the drainage operation at the current layout position and the fourth target gear.

9. An intelligent monitoring system for a sump, characterized in that: include: Host computer, ultrasonic mud meter, ultrasonic water level meter, water pump and water pump layout mechanism; The ultrasonic water level meter is used to detect the water level in the sump in real time and transmit the detected water level data to the host computer; The ultrasonic mud meter is used to detect the silt in the sump in real time and transmit the detected ultrasonic data to the host computer; The host computer is used to obtain the height change of the water level in the previous preset time period when it is determined based on the water level data that the water level in the sump has reached a preset height, and determine the water inflow speed of the sump based on the height change; Digitally modeling the sump and the water pump according to their geometric data to generate a first digital model of the sump and a second digital model of the water pump; Acquiring first ultrasonic data obtained by an ultrasonic mud meter after detecting silt in the sump when the water level in the sump reaches a preset height, and constructing a first silt distribution model for characterizing the distribution of silt in the sump within the first digital model based on the first ultrasonic data; adding the second digital model to the first digital model at different positions within the first digital model, and then using positions of the second digital model that do not overlap with the first silt distribution model as first positions to be selected; Selecting a position from each of the first to-be-selected positions as a first target position, and then determining a first layout position of the water pump in the sump according to an actual position corresponding to the first target position in the sump; Determine the drainage speed of the water pump at different working gears based on the concentration of suspended solid particles in the water body at the first deployment position, and select the working gear corresponding to when the drainage speed is greater than the water inlet speed as the working gear to be selected; and select the gear with the lowest power among the working gears to be selected as the first target gear; The water pump arrangement mechanism is controlled to arrange the water pump at the first arrangement position, and then the water pump is controlled to perform drainage operation at the first target gear position at the first arrangement position.

10. The intelligent monitoring system for sump according to claim 9, characterized in that: The host computer is further configured to, when the second digital model overlaps with the first silt distribution model at each position within the first digital model, determine the position where the overlapping area between the second digital model and the first silt distribution model is the smallest as the second target position; Determine a second layout position of the water pump in the sump according to the actual position corresponding to the second target position in the sump; and use the gear with the highest power among the working gears of the water pump as the second target gear; The water pump is controlled to be at the second layout position, to perform drainage operation at the second target gear position, and to generate an alarm message indicating excessive silt to issue an alarm.

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