Intelligent monitoring method and system for sump

Abstract

The embodiment of the invention provides a sump intelligent monitoring method and system.The method comprises the steps that when it is detected that the water level in a sump reaches the preset height, the water inlet speed of the sump is determined; performing digital modeling on the sump and the water pump to generate a first digital model of the sump and a second digital model of the water pump; according to first ultrasonic data obtained by detecting sludge in the sump, constructing a first sludge distribution model in the sump; according to the overlapping condition of a second digital model in the first digital model and the first sludge distribution model, a first arrangement position where the water pump does not make contact with the sludge in the sump is determined; determining a first target gear according to the concentration of suspended solid particles in the water body at the first layout position and the water inlet speed; the water pump is controlled to conduct drainage operation at the first arrangement position according to the first target gear; according to the invention, the probability of water overflow in the sump can be reduced.

Description

Technical Field

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

[0002] In some places with low terrain, such as power plants or construction sites, there may be no perfect drainage system for various reasons, or it is impossible to discharge sewage in time through the existing drainage system. Generally, it is necessary to dig a sump to temporarily collect the sewage or miscellaneous water that needs to be discharged, and then pump out and discharge the sewage from the sump through the drainage system such as the pump body. However, long-term use will gradually cause the silt in the sump to accumulate, which will affect the drainage speed of the water pump, and then cause the sewage to overflow the sump. In addition, the water pump in the sump in the current technology uses a fixed power to work, and the output power cannot be adjusted according to the water inlet speed, which results in the drainage speed being less than the water inlet speed when the water inlet speed is fast, which leads to sewage overflow. Summary of the invention

[0003] The embodiment of the present invention provides a sump intelligent monitoring method, which can improve 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 a method for intelligently monitoring a sump, comprising: when it is detected that the water level in the sump reaches a preset height, obtaining a height change of the water level in a previous preset period of time, and determining a water inflow speed of the sump according to the height change;

[0005] According to the geometric data of the sump and the water pump, digital modeling is performed on 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;

[0006] Acquire first ultrasonic data obtained after detecting the sludge in the sump with an ultrasonic mud meter, and construct a first sludge distribution model for characterizing the distribution of the sludge in the sump in the first digital model based on the first ultrasonic data;

[0007] At different positions in the first digital model, the second digital model is added to the first digital model, and then the positions of the second digital model that do not overlap with the first silt distribution model are used as first positions to be selected;

[0008] Selecting a position from each of the first positions to be selected 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] 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;

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

[0012] For each first position to be selected, a first distance between the center point of the first position to be selected and the sludge distribution model in each direction is calculated; 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;

[0013] Calculating a weighted average distance between the first to-be-selected position and the silt distribution model according to the first distance 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 taken as the first target position.

[0015] Further, selecting a position from each first to-be-selected position as the first target position also 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 positions 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, 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:

[0020] Inputting the concentration of suspended solid particles and each working gear of the water pump into the 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 taken as input, and the concentration of the corresponding suspended solid particles and the predicted drainage speed under the working gear are taken as output, the loss function value is calculated by 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 in the first digital model, the position where the overlap area between the second digital model and the first silt distribution model is the smallest is taken as the second target position;

[0023] Determine the 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 position, and to generate warning information indicating excessive silt to issue an alarm.

[0025] Furthermore, the method further includes: after the water pump drainage time exceeds a preset time, re-obtaining ultrasonic data obtained by the ultrasonic mud meter after detecting the sludge 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 the similarity between the second silt distribution model and the first silt distribution model, and when the similarity is lower than a preset similarity threshold, adding the second digitized model to the first digitized model at different positions in the first digitized model, and then taking the positions where the second digitized model does not overlap with the second silt distribution model as the third positions to be selected;

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

[0029] According to the concentration of suspended solid particles in the water body at the third 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 updated working gear to be selected; the gear with the smallest power among the updated working gears to be selected is used 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] Further, the calculating the similarity between the second sludge distribution model and the first sludge distribution model includes:

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

[0033] Furthermore, it also includes: when 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 according to the re-obtained concentration of suspended solid particles;

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

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

[0036] The ultrasonic water level measuring instrument 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 sludge 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 period when it is determined according to 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 according to the height change;

[0039] According to the geometric data of the sump and the water pump, digital modeling is performed on 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;

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

[0041] At different positions in the first digital model, the second digital model is added to the first digital model, and then the positions of the second digital model that do not overlap with the first silt distribution model are used as first positions to be selected;

[0042] Selecting a position from each of the first positions to be selected 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] 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;

[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 in the first digital model, take 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 the 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 position, and to generate warning information indicating excessive silt to issue an alarm.

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

[0049] The embodiment of the present invention provides a method and system for intelligent monitoring of a sump. When the water level in the sump is detected to reach a preset height, the method obtains the height change of the water level in the previous preset time period, and determines the water inflow speed of the sump according to the height change; then, according to the geometric data of the sump and the water pump, the sump and the water pump are digitally modeled respectively to generate a first digital model of the sump and a second digital model of the water pump; and according to the first ultrasonic data obtained after detecting the sludge in the sump, a first sludge distribution model is constructed; according to the overlap of the second digital model in the first digital model with the first sludge distribution model, the positions of the second digital model that do not overlap with the first sludge distribution model are selected as each first position to be selected; a position is selected from each first position to be selected as the first target position, and then the first layout position of the water pump in the sump is determined according to the actual position corresponding to the first target position in the sump; in this way, the arranged water pump can be prevented from contacting the sludge that has settled in the sump, thereby increasing the drainage speed of the water pump and reducing the probability of water overflow. Next, 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 at the first layout position to perform drainage operations at the first target gear; according to the water inlet speed, the gear that can make the drainage speed greater than the water inlet speed and has the lowest power is dynamically selected as the gear for the water pump to drain water. On the one hand, the drainage speed can be 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 It is a flow chart of a method for intelligent monitoring of a sump provided in one embodiment of the present invention.

[0051] Figure 2 It 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 be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are 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 period of time is obtained, and a water inflow speed of the sump is determined according to the height change.

[0055] Specifically, an ultrasonic water level meter is provided in the present invention, and the water level in the sump is monitored in real time by the ultrasonic water level meter, and the detected water level data is transmitted to the host computer, and the host computer analyzes the received water level data. When the water level in the sump reaches a preset height, the water level data at each moment in the previous preset time period when the water level reaches the preset height is obtained, for example, the water level data at each moment in the previous hour is obtained, and then the height change of the water level in the preset time period is determined based on the water level data at each moment in the previous preset time period. The water inflow in the preset time period can be determined based on the height change and the size of the sump, and the water inflow speed of the sump can be determined based on the ratio of the water inflow in the preset time period to the length of the preset time period. In an optional embodiment, the sump can be a cylindrical sump.

[0056] S2: 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.

[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, SolidWorks, etc., 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 sludge in the sump, and construct a first sludge distribution model for characterizing the distribution of sludge in the sump in the first digital model based on the first ultrasonic data.

[0059] Specifically, an ultrasonic mud meter is provided in the present invention, and the silt that has settled in the sump is detected in real time by the ultrasonic mud meter, and the ultrasonic data obtained by the detection is transmitted to a 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, to obtain the above-mentioned first silt distribution model.

[0060] S4: adding the second digital model to the first digital model at different positions in the first digital model, and then taking the 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 the second digital model is continuously moved in a preset order so that the second digital model is located at different positions in the first digital model. Each time it is moved, it is determined whether the second digital model overlaps with the first sludge distribution model at the current position. If it overlaps, it means that in actual conditions, if the water pump is arranged in the actual position of the sump corresponding to the current position, the water pump will directly contact the sludge in the sump, so that the water pump will be affected by the sludge when draining water, greatly reducing the drainage speed. Therefore, in this embodiment, the positions where the second digital model does not overlap with the first sludge distribution model are used as the first positions to be selected; in this way, if the water pump is set at the actual position corresponding to these first positions to be selected, it will not contact the sludge 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 an 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 positions to be selected 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 in each direction between the center point of the first position to be selected and the sludge distribution model; 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, considering that after the water pump is working, the originally settled silt will move due to the influence of suction during the drainage process. In order to avoid the contact between the moved silt and the water pump as much as possible after the water pump is working, it is necessary to select a position far away from the silt as the best position. Since the suction of the water pump in different directions is inconsistent when the water pump is working, in addition to considering the distance between the water pump and the silt, it is also necessary to consider the suction of the water pump in different directions in order to better measure the contact between the silt and the water pump after the water pump is working. For this reason, in this embodiment, a weight coefficient is set according to the suction of the water pump in each direction. The stronger the suction, the greater the weight coefficient. According to the weight coefficients in each direction and the corresponding first distance, a weighted average distance is calculated, and the first position to be selected with the largest weighted average distance is used as the first target position. This position is the position where the probability of the water pump contacting the moved silt is the smallest after the water pump is started. Thereby further improving the drainage speed of the water pump.

[0066] In a preferred embodiment, selecting a position from each first position to be selected as the first target position also 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 positions 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 positions to be selected with the same weighted average distance and the largest weighted average distance, the second distance between each position and the bottom of the sump in the first digital model is calculated, and the position closest to the bottom of the sump is used as the first target position. In this way, the water pump can be placed at a deeper position as much as possible to ensure that sufficient water can be discharged, and avoid the situation where the water pump is set too shallow, resulting in failure to drain water normally after the water level drops.

[0071] S6: Determine 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, 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, 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:

[0073] Inputting the concentration of suspended solid particles and each working gear of the water pump into the 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 taken as input, and the concentration of the corresponding suspended solid particles and the predicted drainage speed under the working gear are taken as output, the loss function value is calculated by 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 precipitated sludge, the concentration of suspended solid particles in the water body and the gear position of the water pump when working will also affect the drainage speed. After the above steps have been carried out to greatly reduce the influence of the precipitated sludge on the drainage of the water pump by adjusting the position. In this implementation, training samples are constructed with different concentrations of suspended solid particles and different working gears. Each training sample corresponds to a concentration of suspended solid particles and a working gear. The actual drainage speed corresponding to each training sample is used as a label to perform supervised training on the preset neural network model to construct the above drainage speed prediction model. After the model is constructed, the current concentration of suspended solid particles and each working gear of the water pump are input into the drainage speed prediction model, so that the drainage speed prediction model generates the drainage speed under each working gear according to the concentration of suspended solid particles and each working gear; then, the working gear corresponding to the drainage speed being greater than the water inlet speed is selected 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. 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 silt 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 a base provided on a water pump casing through a rope. The upper computer controls the crane to lift the water pump to a first placement position, and controls the water pump to perform drainage operations according to the above-mentioned first target gear.

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

[0080] Determine the 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 position, and to generate warning information indicating excessive silt to issue an alarm.

[0082] In this embodiment, if the second digital model overlaps with the first sludge distribution model at each position in the first digital model, it means that there is too much sludge in the sump at this time, and it is impossible to find a position that does not contact with the sludge. At this time, only a position with the least contact with the sludge can be selected as the layout position of the water pump in the sump. At this time, the position with the smallest overlapping area between the second digital model and the first sludge distribution model is used as the second target position. According to the actual position corresponding to the second target position in the sump, the second layout position of the water pump in the sump is determined. At this time, the second layout position is the position with the least contact with the sludge. Then, at the second layout position, the water pump is controlled to drain water according to the maximum power gear. Since it is inevitable to contact with the sludge, the water pump is directly controlled to work at maximum power to offset the influence of sludge on the drainage speed.

[0083] In a preferred embodiment, the method further includes: after the water pump drainage time exceeds a preset time, re-obtaining 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 the similarity between the second silt distribution model and the first silt distribution model, and when the similarity is lower than a preset similarity threshold, adding the second digitized model to the first digitized model at different positions in the first digitized model, and then taking the positions where the second digitized model does not overlap with the second silt distribution model as the third positions to be selected;

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

[0087] According to the concentration of suspended solid particles in the water body at the third 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 updated working gear to be selected; the gear with the smallest power among the updated working gears to be selected is used 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 implementation, the calculating the similarity between the second sludge distribution model and the first sludge distribution model comprises:

[0090] The overlap degree between the second sludge distribution model and the first sludge distribution model is calculated, and the overlap degree 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: when 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 at the current layout position to continue the drainage operation at the fourth target gear position.

[0093] Specifically, during the drainage process of the water pump, the flow of water will cause the originally settled silt to change. Therefore, 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, the above-mentioned second ultrasonic data; then, according to the second ultrasonic data, a second silt distribution model is constructed in the first digital model; by calculating the overlap between the second silt distribution model and the first silt distribution model, the similarity between the two is determined. When the similarity is lower than the preset similarity threshold, the position where the second digital model does not overlap with the second silt distribution model is determined in the first digital model in the same way as the above steps, and the above-mentioned third positions to be selected are obtained; then, according to the same method as the above steps, a third target position is selected, and then, according to the third target position, the layout position in the actual sump is determined, that is, the above-mentioned third layout position; finally, according to the concentration of suspended solid particles in the water body at the third layout position, the third target gear is determined in the same way, and the water pump is controlled at the third layout position to continue the drainage operation at 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, is determined according to 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 embodiments, 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 a sump intelligent monitoring system, including: a host computer, an ultrasonic sludge meter, an ultrasonic water level meter, a water pump, and a water pump deployment mechanism;

[0098] The ultrasonic water level measuring instrument 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 sludge 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 period when it is determined according to 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 according to the height change;

[0101] According to the geometric data of the sump and the water pump, digital modeling is performed on 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;

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

[0103] At different positions in the first digital model, the second digital model is added to the first digital model, and then the positions of the second digital model that do not overlap with the first silt distribution model are used as first positions to be selected;

[0104] Selecting a position from each of the first positions to be selected 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] 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;

[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 in the first digital model, take 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 the 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 position, and to generate warning information 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 the sump described in any one 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 a person skilled in the art can make several improvements and modifications without departing from the principle 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, the height change of the water level in the previous preset period is obtained, and the water inflow speed of the sump is determined according to the height change; According to the geometric data of the sump and the water pump, digital modeling is performed on 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; Acquire first ultrasonic data obtained after detecting the sludge in the sump with an ultrasonic mud meter, and construct a first sludge distribution model for characterizing the distribution of the sludge in the sump in the first digital model based on the first ultrasonic data; At different positions in the first digital model, the second digital model is added to the first digital model, and then the positions of the second digital model that do not overlap with the first silt distribution model are used as first positions to be selected; Selecting a position from each of the first positions to be selected 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; 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; 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, a first distance between the center point of the first position to be selected and the sludge distribution model in each direction is calculated; 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; Calculating a weighted average distance between the first to-be-selected position and the silt distribution model according to the first distance 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 taken 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 positions 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 the 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 taken as input, and the concentration of the corresponding suspended solid particles and the predicted drainage speed under the working gear are taken as output, the loss function value is calculated by 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 each position in the first digital model, the position where the overlap area between the second digital model and the first silt distribution model is the smallest is taken as the second target position; Determine the 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 warning information 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 sludge in the sump is re-acquired to obtain the second ultrasonic data; constructing a second silt distribution model within the first digital model based on the second ultrasonic data; Calculating the similarity between the second silt distribution model and the first silt distribution model, and when the similarity is lower than a preset similarity threshold, adding the second digitized model to the first digitized model at different positions in the first digitized model, and then taking the positions where the second digitized model does not overlap with the second silt distribution model as the third positions to be selected; Selecting a position from each of the third positions to be selected as the updated third target position, and then determining the third layout position of the water pump in the sump according to the actual position corresponding to the third target position in the sump; According to the concentration of suspended solid particles in the water body at the third 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 updated working gear to be selected; the gear with the smallest power among the updated working gears to be selected is used 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: The calculating the similarity between the second sludge distribution model and the first sludge distribution model comprises: The overlap degree between the second sludge distribution model and the first sludge distribution model is calculated, and the overlap degree 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: When 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 at the current layout position to continue the drainage operation at the fourth target gear position.

9. An intelligent monitoring system for a sump, characterized in that: include: Host computer, ultrasonic sludge meter, ultrasonic water level meter, water pump and water pump layout mechanism; The ultrasonic water level measuring instrument 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 sludge 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 period when it is determined according to 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 according to the height change; According to the geometric data of the sump and the water pump, digital modeling is performed on 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; Acquire first ultrasonic data obtained by the ultrasonic mud meter after detecting the sludge in the sump when the water level in the sump reaches a preset height, and construct a first sludge distribution model for characterizing the distribution of sludge in the sump in the first digital model based on the first ultrasonic data; At different positions in the first digital model, the second digital model is added to the first digital model, and then the positions of the second digital model that do not overlap with the first silt distribution model are used as first positions to be selected; Selecting a position from each of the first positions to be selected 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; 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; 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 in the first digital model, take 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 the 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 warning information indicating excessive silt to issue an alarm.

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