CN117902745A - Digital platform sewage aeration method, device, equipment and storage medium - Google Patents
Digital platform sewage aeration method, device, equipment and storage medium Download PDFInfo
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Abstract
The application discloses a sewage aeration method, a device, equipment and a storage medium of a digital platform, which relate to the technical field of sewage treatment, wherein the method is applied to a sewage aeration system, the system comprises a monitoring robot, and the method comprises the following steps: controlling the monitoring robot to collect water quality parameters of the sewage pool, and predicting oxygen consumption conditions of the sewage pool according to the water quality parameters; controlling the monitoring robot to collect an aeration disc image of the sewage tank, and analyzing the operation parameters of the aeration disc according to the aeration disc image; and calculating a target aeration value of the sewage tank according to the oxygen consumption condition and the operation parameter, and controlling the operation frequency of the variable frequency blower according to the target aeration value. By adopting the scheme, the oxygen supply required by the biological treatment process in the sewage tank can be ensured, and the accurate aeration treatment of the sewage tank is realized.
Description
Technical Field
The application relates to the technical field of sewage treatment, in particular to a sewage aeration method, device and equipment for a digital platform and a storage medium.
Background
Sewage treatment is a key link of environmental protection and resource regeneration, and precise aeration is an important link in the sewage treatment process, and the process of oxidative decomposition of organic matters in sewage is promoted by introducing air into the sewage.
Currently, in order to achieve accurate aeration of sewage, water quality is generally monitored by an instrument installed in a sewage tank, for example, a dissolved oxygen value in the tank is monitored by a dissolved oxygen meter (DO), whether the aeration amount is sufficient is judged, and the air quantity of a blower is adjusted according to the monitoring result. However, the instrument can only monitor the water quality condition of a certain fixed point, other regional conditions outside the detection point cannot be reflected, and the dissolved oxygen meter arranged in the pool only feeds back the dissolved oxygen value of the detection point, and depending on the dissolved oxygen value, the overall condition of the water body may not be completely reflected, so that the aeration amount requirement and the treatment requirement of the sewage pool are difficult to comprehensively evaluate.
In summary, how to comprehensively evaluate the aeration amount requirement and the treatment requirement of the sewage tank so as to perform accurate aeration treatment on the sewage tank is clearly a technical problem to be solved in the art.
Disclosure of Invention
The application mainly aims to provide a digital platform sewage aeration method, a digital platform sewage aeration device, digital platform sewage aeration equipment and a digital platform sewage storage medium, and aims to comprehensively evaluate the aeration quantity requirement and the treatment requirement of a sewage tank so as to accurately perform aeration treatment on the sewage tank.
In order to achieve the above object, the present application provides a digital platform sewage aeration method, which is applied to a sewage aeration system, the system includes a monitoring robot, the digital platform sewage aeration method includes:
controlling the monitoring robot to collect water quality parameters of the sewage pool, and predicting oxygen consumption conditions of the sewage pool according to the water quality parameters;
controlling the monitoring robot to collect an aeration disc image of the sewage tank, and analyzing the operation parameters of the aeration disc according to the aeration disc image;
and calculating a target aeration value of the sewage tank according to the oxygen consumption condition and the operation parameter, and controlling the operation frequency of the variable frequency blower according to the target aeration value.
Optionally, the step of controlling the monitoring robot to collect water quality parameters of the sewage pool includes:
dividing the lagoon into a plurality of regions based on the volume of the lagoon;
Controlling the monitoring robot to sequentially collect the regional water quality parameters of each of the plurality of regions according to a preset time interval;
and carrying out summation average calculation on the water quality parameters of each region according to preset region weights to obtain the water quality parameters of the sewage pool, wherein the water quality parameters comprise suspended matter concentration, organic matter concentration and nitrifying matter concentration.
Optionally, the step of predicting the oxygen consumption of the sewage tank according to the water quality parameter includes:
Acquiring each water quality parameter sample with marked aeration values at different time points;
determining a correlation coefficient between the water quality parameter samples and a change trend of the water quality parameter samples along with the time change through a time sequence analysis algorithm;
And predicting the oxygen consumption condition of the sewage pool according to the correlation coefficient, the change trend and the water quality parameter.
Optionally, the step of analyzing the operation parameters of the aeration disc according to the image of the aeration disc comprises the following steps:
Extracting image features in the aeration disc image through a preset feature extraction algorithm;
performing correlation screening and dimension reduction processing on the image features to determine target image features related to the operation parameters of the aeration disc in the image features;
Performing algorithm analysis on the target image characteristics to obtain index data of the aeration disc, wherein the index data comprises a breakage index and a blockage index;
and determining the operation parameters of the aeration disc according to the index data.
Optionally, after the step of determining the operation parameters of the aeration disc according to the index data, the method further includes:
Comparing the operation parameters with preset parameter thresholds to obtain comparison results;
and if the comparison result is that the operation parameter is lower than the parameter threshold, outputting corresponding alarm information.
Optionally, before the step of calculating the target aeration value of the lagoon according to the oxygen consumption situation and the operation parameter, the method further comprises:
Establishing an initial aeration value prediction model, wherein the initial aeration value prediction model comprises a corresponding rule of the operation parameters of the aeration disc and oxygen transfer efficiency;
collecting an oxygen consumption condition sample and an operation parameter sample marked with aeration values as a data set;
Training the initial aeration value prediction model according to the data set to obtain a trained aeration value prediction model, wherein the trained aeration value prediction model is used for calculating a target aeration value of the sewage pool.
Optionally, the step of controlling the operation frequency of the variable frequency blower according to the target aeration value includes:
Calculating a real-time aeration value according to the current operating frequency of the variable-frequency blower;
if the real-time aeration value is larger than the target aeration value, reducing the running frequency of the variable frequency air blower until the real-time aeration value of the variable frequency air blower reaches the target aeration value;
and if the real-time aeration value is smaller than the target aeration value, increasing the operating frequency of the variable frequency air blower until the real-time aeration value of the variable frequency air blower reaches the target aeration value.
In addition, in order to achieve the above object, the present application also provides a digital platform sewage aeration device, comprising:
The oxygen consumption condition prediction module is used for controlling the monitoring robot to collect water quality parameters of the sewage pool and predicting the oxygen consumption condition of the sewage pool according to the water quality parameters;
the operation parameter analysis module is used for controlling the monitoring robot to collect an aeration disc image of the sewage tank and analyzing the operation parameters of the aeration disc according to the aeration disc image;
And the aeration value calculation module is used for calculating a target aeration value of the sewage tank according to the oxygen consumption condition and the operation parameter, and controlling the operation frequency of the variable frequency blower according to the target aeration value.
In addition, to achieve the above object, the present application also provides a terminal device including: the system comprises a memory, a processor and a digital platform sewage aeration program stored on the memory and capable of running on the processor, wherein the digital platform sewage aeration program realizes the steps of the digital platform sewage aeration method when being executed by the processor.
In addition, in order to achieve the above object, the present application also provides a storage medium, which is a computer readable storage medium, and the storage medium stores a digital platform sewage aeration program thereon, and the digital platform sewage aeration program when executed by a processor implements the steps of the digital platform sewage aeration method as described above.
The application provides a digital platform sewage aeration method, a device, equipment and a storage medium, wherein the digital platform sewage aeration method is applied to a sewage aeration system, the sewage aeration system comprises a monitoring robot, and the digital platform sewage aeration method comprises the following steps: controlling the monitoring robot to collect water quality parameters of the sewage pool, and predicting oxygen consumption conditions of the sewage pool according to the water quality parameters; controlling the monitoring robot to collect an aeration disc image of the sewage tank, and analyzing the operation parameters of the aeration disc according to the aeration disc image; and calculating a target aeration value of the sewage tank according to the oxygen consumption condition and the operation parameter, and controlling the operation frequency of the variable frequency blower according to the target aeration value.
Therefore, the application firstly collects the water quality parameters in the sewage pool through the monitoring robot, and the parameters not only reflect the water quality condition of the sewage, but also are closely related to oxygen consumption; the monitoring robot also collects images of the aeration disc in the sewage tank, and analyzes the operation parameters of the aeration disc according to the images, wherein the parameters directly reflect the working efficiency and the state of the aeration disc; after the oxygen consumption condition and the operation parameters of the aeration disc are obtained, a target aeration value of the sewage tank is calculated, and the operation frequency of the variable frequency air blower is controlled so as to ensure the oxygen supply required by the biological treatment process in the sewage tank and realize the accurate aeration treatment of the sewage tank.
Drawings
Fig. 1 is a schematic device structure diagram of a hardware operating environment of a terminal device according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an implementation flow of an embodiment of the digital platform sewage aeration method of the present application;
FIG. 3 is a schematic diagram of an implementation flow of another embodiment of the digital platform sewage aeration method of the present application;
FIG. 4 is a schematic diagram of an implementation flow of another embodiment of the digital platform sewage aeration method of the present application;
FIG. 5 is a schematic diagram of functional modules of an embodiment of the digital platform sewage aeration device of the present application.
The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that all directional indicators (such as up, down, left, right, front, and rear … …) in the embodiments of the present application are merely used to explain the relative positional relationship, movement, etc. between the components in a particular posture (as shown in the drawings), and if the particular posture is changed, the directional indicator is changed accordingly.
In the present application, unless specifically stated and limited otherwise, the terms "connected," "affixed," and the like are to be construed broadly, and for example, "affixed" may be a fixed connection, a removable connection, or an integral body; can be mechanically or electrically connected; either directly or indirectly, through intermediaries, or both, may be in communication with each other or in interaction with each other, unless expressly defined otherwise. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art according to the specific circumstances.
Furthermore, descriptions such as those referred to as "first," "second," and the like, are provided for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implying an order of magnitude of the indicated technical features in the present disclosure. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the scope of protection claimed in the present application.
The embodiment of the application provides terminal equipment.
As shown in fig. 1, fig. 1 is a schematic device structure diagram of a hardware operating environment of a terminal device according to an embodiment of the present application.
In this embodiment, the terminal device may be a computer, a server, or the like.
As shown in fig. 1, in a hardware operating environment of a terminal device, the terminal device may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the terminal device structure shown in fig. 1 is not limiting of the device and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and a digital platform sewage aeration program may be included in a memory 1005, which is a computer storage medium.
In the device shown in fig. 1, the network interface 1004 is mainly used for connecting to a background server, and performing data communication with the background server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and processor 1001 may be configured to call the digital platform sewage aeration program stored in memory 1005 and perform the following operations:
controlling the monitoring robot to collect water quality parameters of the sewage pool, and predicting oxygen consumption conditions of the sewage pool according to the water quality parameters;
controlling the monitoring robot to collect an aeration disc image of the sewage tank, and analyzing the operation parameters of the aeration disc according to the aeration disc image;
and calculating a target aeration value of the sewage tank according to the oxygen consumption condition and the operation parameter, and controlling the operation frequency of the variable frequency blower according to the target aeration value.
Optionally, the processor 1001 may also be configured to call a digital platform sewage aeration program stored in the memory 1005 and perform the following operations:
dividing the lagoon into a plurality of regions based on the volume of the lagoon;
Controlling the monitoring robot to sequentially collect the regional water quality parameters of each of the plurality of regions according to a preset time interval;
and carrying out summation average calculation on the water quality parameters of each region according to preset region weights to obtain the water quality parameters of the sewage pool, wherein the water quality parameters comprise suspended matter concentration, organic matter concentration and nitrifying matter concentration.
Optionally, the processor 1001 may also be configured to call a digital platform sewage aeration program stored in the memory 1005 and perform the following operations:
Acquiring each water quality parameter sample with marked aeration values at different time points;
determining a correlation coefficient between the water quality parameter samples and a change trend of the water quality parameter samples along with the time change through a time sequence analysis algorithm;
And predicting the oxygen consumption condition of the sewage pool according to the correlation coefficient, the change trend and the water quality parameter.
Optionally, the processor 1001 may also be configured to call a digital platform sewage aeration program stored in the memory 1005 and perform the following operations:
Extracting image features in the aeration disc image through a preset feature extraction algorithm;
performing correlation screening and dimension reduction processing on the image features to determine target image features related to the operation parameters of the aeration disc in the image features;
Performing algorithm analysis on the target image characteristics to obtain index data of the aeration disc, wherein the index data comprises a breakage index and a blockage index;
and determining the operation parameters of the aeration disc according to the index data.
Optionally, the processor 1001 may also be configured to call a digital platform sewage aeration program stored in the memory 1005 and perform the following operations:
Comparing the operation parameters with preset parameter thresholds to obtain comparison results;
and if the comparison result is that the operation parameter is lower than the parameter threshold, outputting corresponding alarm information.
Optionally, the processor 1001 may also be configured to call a digital platform sewage aeration program stored in the memory 1005 and perform the following operations:
Establishing an initial aeration value prediction model, wherein the initial aeration value prediction model comprises a corresponding rule of the operation parameters of the aeration disc and oxygen transfer efficiency;
collecting an oxygen consumption condition sample and an operation parameter sample marked with aeration values as a data set;
Training the initial aeration value prediction model according to the data set to obtain a trained aeration value prediction model, wherein the trained aeration value prediction model is used for calculating a target aeration value of the sewage pool.
Optionally, the processor 1001 may also be configured to call a digital platform sewage aeration program stored in the memory 1005 and perform the following operations:
Calculating a real-time aeration value according to the current operating frequency of the variable-frequency blower;
if the real-time aeration value is larger than the target aeration value, reducing the running frequency of the variable frequency air blower until the real-time aeration value of the variable frequency air blower reaches the target aeration value;
and if the real-time aeration value is smaller than the target aeration value, increasing the operating frequency of the variable frequency air blower until the real-time aeration value of the variable frequency air blower reaches the target aeration value.
Based on the hardware structure, the integral conception of each embodiment of the sewage aeration method of the digital platform is provided.
In the embodiment of the application, sewage treatment is a key link of environmental protection and resource regeneration, and accurate aeration is an important link in the sewage treatment process, and the process of oxidative decomposition of organic matters in sewage is promoted by introducing air into the sewage.
Currently, in order to achieve accurate aeration of sewage, water quality is generally monitored by an instrument installed in a sewage tank, for example, a dissolved oxygen value in the tank is monitored by a dissolved oxygen meter (DO), whether the aeration amount is sufficient is judged, and the air quantity of a blower is adjusted according to the monitoring result. However, the instrument can only monitor the water quality condition of a certain fixed point, other regional conditions outside the detection point cannot be reflected, and the dissolved oxygen meter arranged in the pool only feeds back the dissolved oxygen value of the detection point, and depending on the dissolved oxygen value, the overall condition of the water body may not be completely reflected, so that the aeration amount requirement and the treatment requirement of the sewage pool are difficult to comprehensively evaluate.
In summary, how to comprehensively evaluate the aeration amount requirement and the treatment requirement of the sewage tank so as to perform accurate aeration treatment on the sewage tank is clearly a technical problem to be solved in the art.
In view of the above problems, an embodiment of the present application provides a method for aerating sewage on a digital platform, the method is applied to a sewage aeration system, the system includes a monitoring robot, the method for aerating sewage on the digital platform includes: controlling the monitoring robot to collect water quality parameters of the sewage pool, and predicting oxygen consumption conditions of the sewage pool according to the water quality parameters; controlling the monitoring robot to collect an aeration disc image of the sewage tank, and analyzing the operation parameters of the aeration disc according to the aeration disc image; and calculating a target aeration value of the sewage tank according to the oxygen consumption condition and the operation parameter, and controlling the operation frequency of the variable frequency blower according to the target aeration value.
Therefore, the application firstly collects the water quality parameters in the sewage pool through the monitoring robot, and the parameters not only reflect the water quality condition of the sewage, but also are closely related to oxygen consumption; the monitoring robot also collects images of the aeration disc in the sewage tank, and analyzes the operation parameters of the aeration disc according to the images, wherein the parameters directly reflect the working efficiency and the state of the aeration disc; after the oxygen consumption condition and the operation parameters of the aeration disc are obtained, a target aeration value of the sewage tank is calculated, and the operation frequency of the variable frequency air blower is controlled so as to ensure the oxygen supply required by the biological treatment process in the sewage tank and realize the accurate aeration treatment of the sewage tank.
Based on the general conception of the digital platform sewage aeration method of the application, various embodiments of the digital platform sewage aeration method of the application are presented.
Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the sewage aeration method of the digitizing platform according to the application. It should be noted that although a logical order is depicted in the flowchart, in some cases the steps depicted or described may be performed in a different order than presented herein.
In this embodiment, the sewage aeration method of the digital platform of the present application is applied to the above-mentioned terminal equipment. It should be understood that, based on different design requirements of practical applications, the sewage aeration method of the digital platform of the present application may of course be applied to other terminal devices in different possible embodiments, and for ease of understanding and explanation, the sewage aeration system is used as a direct execution body in this embodiment, so as to explain the sewage aeration method of the digital platform of the present application.
As shown in fig. 2, in the present embodiment, the digital platform sewage aeration method of the present application is applied to a sewage aeration system including a monitoring robot, and may include:
step S10, controlling the monitoring robot to collect water quality parameters of the sewage pool, and predicting oxygen consumption conditions of the sewage pool according to the water quality parameters;
In this embodiment, after receiving the aeration value prediction instruction, the sewage aeration system controls the monitoring robot to collect the water quality parameter in the sewage tank, where the aeration value prediction instruction may be triggered by a user in real time, or may be triggered automatically and periodically in a set time period, and then the sewage aeration system predicts the oxygen consumption situation in the sewage tank according to the collected water quality parameter, and preferably, the sewage aeration system predicts the oxygen consumption situation in the sewage tank within 24 hours in the future according to the collected water quality parameter.
In this embodiment, the monitoring robot is an underwater robot with a sensor array, and the sensor type may be adjusted according to the type of the water quality parameter to be monitored, such as a suspended matter concentration sensor, an organic matter concentration sensor, a nitrifier concentration sensor, or a dissolved oxygen sensor, and the type of the sensor carried by the monitoring robot is not particularly limited in this embodiment.
Step S20, controlling the monitoring robot to collect an aeration disc image of the sewage tank, and analyzing the operation parameters of the aeration disc according to the aeration disc image;
in this embodiment, after receiving the aeration value prediction instruction, the sewage aeration system controls the monitoring robot to collect an aeration disc image of the sewage tank through the configured image collection device, and then the sewage aeration system analyzes an operation parameter of an aeration disc in the sewage tank according to the collected aeration disc image, wherein the operation parameter includes oxygen transfer efficiency of the aeration disc.
It should be noted that, in this embodiment, the moving route and the monitoring flow of the monitoring robot in the sewage tank may be adjusted according to the user requirement, for example, the monitoring of the water quality parameter is performed first and then the image of the aeration disc is collected, or the image of the aeration disc is collected first and then the monitoring of the water quality parameter is performed, or the monitoring of the water quality parameter and the image of the aeration disc are performed alternately.
And step S30, calculating a target aeration value of the sewage tank according to the oxygen consumption condition and the operation parameter, and controlling the operation frequency of the variable frequency blower according to the target aeration value.
In this embodiment, the sewage aeration system calculates a target aeration value of the sewage tank, which is used to ensure oxygen supply required for a biological treatment process in the sewage tank while avoiding unnecessary energy consumption, using the information after obtaining the oxygen consumption condition in the sewage tank and the operation parameters of the aeration tank, and controls the operation frequency of the variable frequency blower according to the calculated target aeration value.
The embodiment of the application provides a sewage aeration method of a digital platform, which is applied to a sewage aeration system, wherein the sewage aeration system comprises a monitoring robot, and the method comprises the following steps: controlling the monitoring robot to collect water quality parameters of the sewage pool, and predicting oxygen consumption conditions of the sewage pool according to the water quality parameters; controlling the monitoring robot to collect an aeration disc image of the sewage tank, and analyzing the operation parameters of the aeration disc according to the aeration disc image; and calculating a target aeration value of the sewage tank according to the oxygen consumption condition and the operation parameter, and controlling the operation frequency of the variable frequency blower according to the target aeration value.
Therefore, the embodiment of the application firstly collects the water quality parameters in the sewage pool through the monitoring robot, and the parameters not only reflect the water quality condition of the sewage, but also are closely related to oxygen consumption; the monitoring robot also collects images of the aeration disc in the sewage tank, and analyzes the operation parameters of the aeration disc according to the images, wherein the parameters directly reflect the working efficiency and the state of the aeration disc; after the oxygen consumption condition and the operation parameters of the aeration disc are obtained, a target aeration value of the sewage tank is calculated, and the operation frequency of the variable frequency air blower is controlled so as to ensure the oxygen supply required by the biological treatment process in the sewage tank and realize the accurate aeration treatment of the sewage tank.
Further, based on the first embodiment of the sewage aeration method for the digital platform according to the present application, a second embodiment of the sewage aeration method for the digital platform according to the present application is provided.
In this embodiment, as shown in fig. 3, the step of "controlling the monitoring robot to collect the water quality parameter of the sewage tank" in the step S10 includes:
Step S101: dividing the lagoon into a plurality of regions based on the volume of the lagoon;
In this embodiment, before the water quality parameter is collected, it is first divided into multiple areas according to the volume of the sewage tank, so that the purpose of this is to more accurately understand the water quality conditions of different areas, because the water quality at different positions in the sewage tank may be different due to factors such as flow and mixing degree, and when the areas are divided, the sewage aeration system performs area division according to factors such as the geometry of the sewage tank, the positions of the water inlet and outlet, and the layout of the aeration device, so as to ensure that each area has representativeness and is convenient for the monitoring robot to monitor.
Step S102: controlling the monitoring robot to sequentially collect the regional water quality parameters of each of the plurality of regions according to a preset time interval;
In this embodiment, after the division of the areas is completed, the sewage aeration system controls the monitoring robot to sequentially collect the water quality parameters of each area according to a preset time interval, and the monitoring robot accurately measures the water quality parameters such as suspended matter concentration, organic matter concentration, nitrate concentration and the like of each area of the sewage tank through the configured sensor array.
It should be noted that, in order to ensure continuity and accuracy of data, the monitoring robot moves according to a preset route and speed, so as to avoid excessive disturbance in the acquisition process, and the monitoring robot adjusts the acquisition frequency according to actual needs so as to balance data precision and acquisition cost.
Step S103: and carrying out summation average calculation on the water quality parameters of each region according to preset region weights to obtain the water quality parameters of the sewage pool, wherein the water quality parameters comprise suspended matter concentration, organic matter concentration and nitrifying matter concentration.
In this embodiment, after receiving the regional water quality parameters of each region collected by the monitoring robot, the sewage aeration system performs a summation average calculation on the parameters according to a preset regional weight to obtain the water quality parameters of the whole sewage tank, and in the calculation process, the water quality parameters of each region need to be weighted and summed first, and then divided by the total number or total weight of the regions to obtain the average water quality parameters. Therefore, the processed water quality parameters can reflect the actual water quality condition of the whole sewage pool, and more accurate data support is provided for the subsequent oxygen consumption prediction and aeration control.
In the present embodiment, the setting of the zone weight is determined according to the importance of each zone, the size of the area, and the degree of influence on the overall water quality, and for example, the weight is higher for a zone near the water inlet or the aeration device zone.
Further, in a possible embodiment, as shown in fig. 4, the step of "predicting the oxygen consumption of the wastewater tank according to the water quality parameter" in the step S10 includes:
Step S104: acquiring each water quality parameter sample with marked aeration values at different time points;
In this embodiment, the sewage aeration system collects historical data, i.e., at different points in time, samples of various water quality parameters have been labeled with corresponding aeration values, which samples cover various water quality conditions and aeration conditions, so that a comprehensive and accurate predictive model can be established.
Specifically, the acquisition of the water quality parameter samples can be realized by periodically acquiring water quality data of the sewage pool and recording corresponding aeration values, and meanwhile, in order to ensure the reliability and the effectiveness of the data, the data are cleaned and preprocessed to remove abnormal values and noise.
Step S105: determining a correlation coefficient between the water quality parameter samples and a change trend of the water quality parameter samples along with the time change through a time sequence analysis algorithm;
In this embodiment, after enough water quality parameter samples are collected, the correlation coefficient between the water quality parameter samples and their trend of change with time are determined by a time series analysis algorithm.
It should be noted that, in this embodiment, the time series analysis is a statistical algorithm for revealing internal rules and trends in the time series data, and specifically may be a time series analysis algorithm such as an autocorrelation function, a partial autocorrelation function, a moving average model, an autoregressive model, etc. to analyze correlations and variation trends between water quality parameter samples, and these analysis results will provide a basis for subsequent oxygen consumption prediction.
Step S106: and predicting the oxygen consumption condition of the sewage pool according to the correlation coefficient, the change trend and the water quality parameter.
In this embodiment, after determining the correlation coefficient and the trend of variation among the water quality parameter samples, the sewage aeration system can use the information to predict the oxygen consumption of the sewage tank.
Specifically, a prediction model based on a time sequence is established, a historical water quality parameter sample is taken as input, a corresponding oxygen consumption condition is taken as output, a mapping relation between water quality parameters and oxygen consumption is established through training the model, and during prediction, the sewage aeration system inputs the water quality parameters monitored in real time into the model, so that an oxygen consumption predicted value in a future period is obtained.
Thus, compared with the method of monitoring the dissolved oxygen value in the sewage pool by using the dissolved oxygen meter installed in the sewage pool, the method of the embodiment obtains more information about the water pollution condition by the monitoring robot, and comprehensively considers the water quality parameters to more comprehensively evaluate the requirements of biological treatment and the requirement of aeration; meanwhile, the consumption condition of oxygen in the biological treatment process can be predicted by monitoring the water quality parameters, and the aeration quantity can be adjusted according to the requirement, so that the problems can be found and solved in advance, the continuity and the stability of the biological treatment are ensured, and the problems can not be found or accurately adjusted in time only by relying on the measurement of the dissolved oxygen quantity; in addition, the change of the water quality parameters can be influenced by various factors, such as the water quality of the incoming water, the treatment process, the environmental factors and the like, and by monitoring the water quality parameters, the aeration strategy can be flexibly adjusted to adapt to different water quality conditions and treatment requirements.
Further, in a possible embodiment, the step of analyzing the operation parameters of the aeration disc according to the image of the aeration disc in the step S20 includes:
Step S201: extracting image features in the aeration disc image through a preset feature extraction algorithm;
In this embodiment, the sewage aeration system analyzes the image of the aeration disc using a preset feature extraction algorithm, and extracts image features in the image. Specifically, the feature extraction algorithm may be based on edge detection, texture analysis, shape recognition, and the like, to extract image features such as bubble size, shape, distribution, and the like from the aeration disc image.
Step S202: performing correlation screening and dimension reduction processing on the image features to determine target image features related to the operation parameters of the aeration disc in the image features;
In this embodiment, since the extracted image features may be very various and huge in number, but not all the features are directly related to the operation parameters of the aeration disc, in this embodiment, the correlation screening is performed on the extracted image features, specifically, by analyzing the statistical relationship between the features and the operation parameters, using the feature selection function of the machine learning model, and the like, and in order to simplify the subsequent analysis process, it is also necessary to perform a dimension reduction process on the features, for example, to reduce the high-dimension feature space to a dimension that is easier to process by using the Principal Component Analysis (PCA) method, so as to determine the target image features related to the operation parameters of the aeration disc from the image features.
Step S203: performing algorithm analysis on the target image characteristics to obtain index data of the aeration disc, wherein the index data comprises a breakage index and a blockage index;
in this embodiment, the determined target image features are converted into specific index data so as to evaluate the operation state of the aeration disc, wherein the index data includes a breakage index, a blockage index, and the like, specifically, the breakage index can be calculated by analyzing abnormal features such as cracks, defects, and the like of the aeration disc in the image, and the blockage index can be evaluated by monitoring the generation and escape conditions of bubbles.
Step S204: and determining the operation parameters of the aeration disc according to the index data.
In this embodiment, according to the obtained index data, the sewage aeration system may determine an operation parameter of the aeration disc, where the operation parameter may specifically include information on oxygen transfer efficiency, working stability, maintenance requirement, and the like of the aeration disc, and the sewage aeration system may calculate a target aeration value of the sewage tank according to the operation parameter of the aeration disc and the predicted oxygen consumption condition.
In addition, the sewage aeration system can also judge whether the aeration disc needs to be adjusted, maintained or replaced by comparing the operation parameters with preset threshold values or standards.
Further, in a possible embodiment, after the step S204, the method for aeration of sewage with a digital platform according to the present application may further include:
Step S205: comparing the operation parameters with preset parameter thresholds to obtain comparison results;
in this embodiment, the sewage aeration system compares the operation parameters of the aeration disc extracted from the image analysis with preset parameter thresholds, wherein the parameter thresholds are preset according to factors such as the normal working range of the aeration disc, historical data, equipment specifications, maintenance requirements and the like, and the parameter thresholds include an oxygen conversion efficiency threshold, a wear degree threshold, a blockage degree threshold and the like of the aeration disc.
It should be noted that, in this embodiment, the comparison process may be implemented through simple numerical comparison, for example, to determine whether the operation parameter is lower than or higher than a certain threshold, or may also use a more complex statistical method or a machine learning model to perform the comparison, so as to more accurately determine the operation state of the aeration disc, and the comparison result may be output in the form of a boolean value or other identifier, so as to indicate whether the operation parameter meets the preset requirement.
Step S206: and if the comparison result is that the operation parameter is lower than the parameter threshold, outputting corresponding alarm information.
In this embodiment, if the comparison result between the operation parameter and the parameter threshold is that the operation parameter is lower than the preset parameter threshold, that is, the operation state of the aeration disc does not meet the preset requirement, the system will output corresponding alarm information, where the alarm information may be transmitted to the staff in various manners, such as sending an email, notifying a short message, displaying an alarm icon on the monitoring interface, and so on.
In this embodiment, the alarm information includes the reason, the location, and the possible solutions of the alarm. For example, if the clogging degree of the aeration panel exceeds a threshold value, the alarm information may include the position of the clogging, the clogging degree, and recommended cleaning means, which information helps the staff to quickly respond and take appropriate measures to ensure the normal operation of the aeration system and the smooth progress of the sewage treatment process.
In addition, in a feasible embodiment, the monitoring robot is further provided with a cleaning mechanical arm, and if the alarm information is that the blocking degree of the aeration disc exceeds a threshold value, the monitoring robot can position and send the blocking position through the camera and the sensor, and the cleaning mechanical arm is used for cleaning the blocking object.
Therefore, the sewage aeration system can timely find and solve the problems in the operation of the aeration disc, and avoid potential performance degradation, faults or potential safety hazards, thereby ensuring the stable and safe operation of sewage treatment.
Further, in a possible embodiment, before the step S30, the method for aeration of sewage with a digital platform according to the present application may further include:
Step A10: establishing an initial aeration value prediction model, wherein the initial aeration value prediction model comprises a corresponding rule of the operation parameters of the aeration disc and oxygen transfer efficiency;
In this embodiment, an initial aeration value prediction model is established, where the model includes a rule corresponding to the operating parameter of the aeration disc and the oxygen transfer efficiency, and the model may be a regression model, a classification model, or a clustering model, which is not particularly limited in the present application.
Step A20: collecting an oxygen consumption condition sample and an operation parameter sample marked with aeration values as a data set;
Step A30: training the initial aeration value prediction model according to the data set to obtain a trained aeration value prediction model, wherein the trained aeration value prediction model is used for calculating a target aeration value of the sewage pool.
In this embodiment, after an initial aeration value prediction model is established, the sewage aeration system trains and optimizes the model based on the collected data in actual operation, trains the initial aeration value prediction model by using the oxygen consumption condition sample and the operation parameter sample marked with aeration values as data sets, so that the model can best fit the collected data, and in particular, various optimization algorithms (such as gradient descent, random forest, support vector machine, and the like) can be used to minimize the error between the model prediction value and the actual value.
In the training process, the model is required to be verified and evaluated to ensure good generalization capability and prediction accuracy, the model can be realized by dividing a data set into a training set and a test set, the training set is used for training the model, the test set is used for evaluating the performance of the model, if the performance of the model is poor, the structure or parameters of the model are adjusted, or more data are collected for improving the model, finally, a trained aeration value prediction model is obtained through continuous training and optimization, and the model can predict the target aeration value of a sewage pool according to predicted oxygen consumption conditions and real-time operation parameters of an aeration disc, so that an important reference basis is provided for subsequent aeration control.
Further, in a possible embodiment, the step of controlling the operation frequency of the variable frequency blower according to the target aeration value in the step S30 includes:
step S301: calculating a real-time aeration value according to the current operating frequency of the variable-frequency blower;
In this embodiment, the sewage aeration system calculates real-time aeration values according to the current operating frequency of the variable frequency blower, which generally involves knowledge of the blower performance curve describing the aeration capacity of the blower at different frequencies, by using interpolation or fitting to find the corresponding aeration values on the performance curve according to the current frequency of the variable frequency blower.
In addition, in one possible embodiment, factors such as the temperature, pH, DO concentration, etc. of the lagoon may affect the aeration effect, and thus need to be considered in calculating the real-time aeration value.
Step S302: if the real-time aeration value is larger than the target aeration value, reducing the running frequency of the variable frequency air blower until the real-time aeration value of the variable frequency air blower reaches the target aeration value;
In this embodiment, if the calculated real-time aeration value is greater than the target aeration value, it indicates that the current aeration amount is too large, and the operation frequency of the blower needs to be reduced to reduce the aeration amount, specifically, the process of reducing the operation frequency of the blower is performed gradually, each time a certain frequency is reduced, and then the real-time aeration value is recalculated until the real-time aeration value reaches or approaches the target aeration value, and in the process of reducing the frequency, the water quality parameter in the sewage tank can be synchronously monitored by the monitoring robot, so as to ensure that the adjustment of the aeration amount does not adversely affect the sewage treatment process.
Step S303: and if the real-time aeration value is smaller than the target aeration value, increasing the operating frequency of the variable frequency air blower until the real-time aeration value of the variable frequency air blower reaches the target aeration value.
In this embodiment, if the real-time aeration value is smaller than the target aeration value, it is indicated that the current aeration amount is insufficient, the operation frequency of the blower needs to be increased to increase the aeration amount, and similarly, the process of increasing the operation frequency of the blower should be performed gradually.
Thus, through the steps, the sewage aeration system can realize the accurate control of the operation frequency of the variable frequency air blower, thereby ensuring that the aeration amount in the sewage tank is always kept within the target range, improving the efficiency and quality of sewage treatment, saving energy and reducing the operation cost.
Furthermore, in one possible embodiment, the wastewater aeration system may establish a multi-objective optimization algorithm based on multiple objectives in the wastewater treatment process to achieve optimization of overall performance. Specifically, in this embodiment, the sewage aeration system selects a multi-objective evolutionary algorithm, sets dependent constraint conditions, such as a maximum allowable value of a water quality index of effluent, an upper limit of energy consumption, and the like, and determines adjustable parameters as decision variables, such as an aeration value, a mixed liquor reflux ratio, a sludge reflux ratio, and the like, and then constructs an optimization problem including a plurality of objectives, such as minimizing energy consumption, minimizing running cost, maximizing treatment effect, and the like, i.e., constructs an objective function; and then optimizing according to the objective function and the constraint condition to improve the overall performance of sewage aeration and achieve the optimal operation effect.
In addition, the embodiment of the application also provides a sewage aeration device of the digital platform.
Referring to fig. 5, the sewage aeration device of the digital platform of the present application comprises:
The oxygen consumption condition prediction module 10 is used for controlling the monitoring robot to collect water quality parameters of the sewage pool and predicting the oxygen consumption condition of the sewage pool according to the water quality parameters;
An operation parameter analysis module 20, configured to control the monitoring robot to collect an image of an aeration disc of the sewage tank, and analyze an operation parameter of the aeration disc according to the image of the aeration disc;
And the aeration value calculation module 30 is used for calculating a target aeration value of the sewage tank according to the oxygen consumption condition and the operation parameter, and controlling the operation frequency of the variable frequency blower according to the target aeration value.
Optionally, the oxygen consumption prediction module 10 is further configured to:
dividing the lagoon into a plurality of regions based on the volume of the lagoon;
Controlling the monitoring robot to sequentially collect the regional water quality parameters of each of the plurality of regions according to a preset time interval;
and carrying out summation average calculation on the water quality parameters of each region according to preset region weights to obtain the water quality parameters of the sewage pool, wherein the water quality parameters comprise suspended matter concentration, organic matter concentration and nitrifying matter concentration.
Optionally, the oxygen consumption prediction module 10 is further configured to:
Acquiring each water quality parameter sample with marked aeration values at different time points;
determining a correlation coefficient between the water quality parameter samples and a change trend of the water quality parameter samples along with the time change through a time sequence analysis algorithm;
And predicting the oxygen consumption condition of the sewage pool according to the correlation coefficient, the change trend and the water quality parameter.
Optionally, the operation parameter analysis module 20 is further configured to:
Extracting image features in the aeration disc image through a preset feature extraction algorithm;
performing correlation screening and dimension reduction processing on the image features to determine target image features related to the operation parameters of the aeration disc in the image features;
Performing algorithm analysis on the target image characteristics to obtain index data of the aeration disc, wherein the index data comprises a breakage index and a blockage index;
and determining the operation parameters of the aeration disc according to the index data.
Optionally, the sewage aeration device of the digital platform of the application further comprises:
The alarm module is used for comparing the operation parameters with a preset parameter threshold value to obtain a comparison result; and if the comparison result is that the operation parameter is lower than the parameter threshold, outputting corresponding alarm information.
Optionally, the sewage aeration device of the digital platform of the application further comprises:
The model building module is used for building an initial aeration value prediction model, and the initial aeration value prediction model comprises a corresponding rule of the operation parameters of the aeration disc and the oxygen transfer efficiency; collecting an oxygen consumption condition sample and an operation parameter sample marked with aeration values as a data set; training the initial aeration value prediction model according to the data set to obtain a trained aeration value prediction model, wherein the trained aeration value prediction model is used for calculating a target aeration value of the sewage pool.
Optionally, the aeration value calculation module 30 is further configured to:
Calculating a real-time aeration value according to the current operating frequency of the variable-frequency blower;
if the real-time aeration value is larger than the target aeration value, reducing the running frequency of the variable frequency air blower until the real-time aeration value of the variable frequency air blower reaches the target aeration value;
and if the real-time aeration value is smaller than the target aeration value, increasing the operating frequency of the variable frequency air blower until the real-time aeration value of the variable frequency air blower reaches the target aeration value.
The function implementation of each module in the digital platform sewage aeration device corresponds to each step in the embodiment of the digital platform sewage aeration method, and the function and implementation process of each module are not repeated here.
In addition, the application also provides a computer readable storage medium, wherein the storage medium is stored with a digital platform sewage aeration program, and the digital platform sewage aeration program realizes the steps of the digital platform sewage aeration method according to the application when being executed by a processor.
The specific embodiment of the storage medium of the application is basically the same as that of the sewage aeration method of the digital platform, and is not repeated here.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present application.
The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the application, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (10)
1. A digital platform sewage aeration method, characterized by being applied to a sewage aeration system, the sewage aeration system including a monitoring robot, the digital platform sewage aeration method comprising:
controlling the monitoring robot to collect water quality parameters of the sewage pool, and predicting oxygen consumption conditions of the sewage pool according to the water quality parameters;
controlling the monitoring robot to collect an aeration disc image of the sewage tank, and analyzing the operation parameters of the aeration disc according to the aeration disc image;
and calculating a target aeration value of the sewage tank according to the oxygen consumption condition and the operation parameter, and controlling the operation frequency of the variable frequency blower according to the target aeration value.
2. The digital platform sewage aeration method according to claim 1, wherein the step of controlling the monitoring robot to collect water quality parameters of the sewage tank comprises:
dividing the lagoon into a plurality of regions based on the volume of the lagoon;
Controlling the monitoring robot to sequentially collect the regional water quality parameters of each of the plurality of regions according to a preset time interval;
and carrying out summation average calculation on the water quality parameters of each region according to preset region weights to obtain the water quality parameters of the sewage pool, wherein the water quality parameters comprise suspended matter concentration, organic matter concentration and nitrifying matter concentration.
3. The method of digital platform sewage aeration according to claim 1, wherein the step of predicting the oxygen consumption of the sewage tank based on the water quality parameter comprises:
Acquiring each water quality parameter sample with marked aeration values at different time points;
determining a correlation coefficient between the water quality parameter samples and a change trend of the water quality parameter samples along with the time change through a time sequence analysis algorithm;
And predicting the oxygen consumption condition of the sewage pool according to the correlation coefficient, the change trend and the water quality parameter.
4. The digital platform sewage aeration method according to claim 1, wherein the step of analyzing the operation parameters of the aeration disc according to the image of the aeration disc comprises:
Extracting image features in the aeration disc image through a preset feature extraction algorithm;
performing correlation screening and dimension reduction processing on the image features to determine target image features related to the operation parameters of the aeration disc in the image features;
Performing algorithm analysis on the target image characteristics to obtain index data of the aeration disc, wherein the index data comprises a breakage index and a blockage index;
and determining the operation parameters of the aeration disc according to the index data.
5. The digital platform wastewater aeration method of claim 4, wherein after the step of determining the operating parameters of the aeration basin based on the index data, the method further comprises:
Comparing the operation parameters with preset parameter thresholds to obtain comparison results;
and if the comparison result is that the operation parameter is lower than the parameter threshold, outputting corresponding alarm information.
6. The digital platform sewage aeration method according to claim 1, wherein before the step of calculating a target aeration value of the sewage tank according to the oxygen consumption condition and the operation parameter, the method further comprises:
Establishing an initial aeration value prediction model, wherein the initial aeration value prediction model comprises a corresponding rule of the operation parameters of the aeration disc and oxygen transfer efficiency;
collecting an oxygen consumption condition sample and an operation parameter sample marked with aeration values as a data set;
Training the initial aeration value prediction model according to the data set to obtain a trained aeration value prediction model, wherein the trained aeration value prediction model is used for calculating a target aeration value of the sewage pool.
7. The method for digitally aerating wastewater on a platform of claim 1 wherein said step of controlling the frequency of operation of a variable frequency blower based on said target aeration value comprises:
Calculating a real-time aeration value according to the current operating frequency of the variable-frequency blower;
if the real-time aeration value is larger than the target aeration value, reducing the running frequency of the variable frequency air blower until the real-time aeration value of the variable frequency air blower reaches the target aeration value;
and if the real-time aeration value is smaller than the target aeration value, increasing the operating frequency of the variable frequency air blower until the real-time aeration value of the variable frequency air blower reaches the target aeration value.
8. A digital platform sewage aeration device, characterized in that the digital platform sewage aeration device comprises:
The oxygen consumption condition prediction module is used for controlling the monitoring robot to collect water quality parameters of the sewage pool and predicting the oxygen consumption condition of the sewage pool according to the water quality parameters;
the operation parameter analysis module is used for controlling the monitoring robot to collect an aeration disc image of the sewage tank and analyzing the operation parameters of the aeration disc according to the aeration disc image;
And the aeration value calculation module is used for calculating a target aeration value of the sewage tank according to the oxygen consumption condition and the operation parameter, and controlling the operation frequency of the variable frequency blower according to the target aeration value.
9. A terminal device, characterized in that the terminal device comprises: a memory, a processor and a digital platform sewage aeration program stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the digital platform sewage aeration method of any one of claims 1 to 7.
10. A storage medium, characterized in that the storage medium is a computer readable storage medium, on which a digital platform sewage aeration program is stored, which when executed by a processor, implements the steps of the digital platform sewage aeration method according to any one of claims 1 to 7.
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