A steel plant turbid circulating water intelligent dosing control method and system

Abstract

The application relates to the technical field of the steel industry, in particular to a steel plant turbid circulating water intelligent dosing control method and system. The method comprises the following steps: obtaining historical current data and current current data, performing data visualization processing on the historical current data and the current current data, obtaining a fault current fluctuation graph and an operation current fluctuation graph, performing peak value calculation and analysis on the fault current fluctuation graph to obtain a fault peak value standard, determining peak value change information based on the operation current fluctuation graph, and determining whether the current current data has a fault precursor according to the peak value change information and the fault peak value standard; if yes, a precursor fault type corresponding to the peak value change information in the fault peak value standard is determined, and frequency converter maintenance information is determined according to the precursor fault type and a preset maintenance standard. The application can improve the operation stability and reliability of the frequency converter.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of the steel industry, in particular to a steel plant turbid circulating water intelligent dosing control method and system. BACKGROUND

[0002] In a steel enterprise, turbid circulating water is an indispensable circulating water system in production, and water quality is purified from sewage to clean water. The dosing system is an important link to ensure the purification effect of water treatment equipment. The existing dosing system is currently of a rough type, mostly using experience to determine the type and amount of dosing, and manually adding. This method not only has no guarantee for the water quality of the outlet, but also affects normal production due to unqualified water quality, causing unnecessary waste of reagents, thereby reducing the treatment efficiency of the turbid circulating water of the steel plant. SUMMARY

[0003] In order to improve the treatment efficiency of the turbid circulating water of the steel plant, the present application provides a steel plant turbid circulating water intelligent dosing control method and system.

[0004] In a first aspect, the present application provides a steel plant turbid circulating water intelligent dosing control method, which adopts the following technical solution:

[0005] A steel plant turbid circulating water intelligent dosing control method, comprising:

[0006] obtaining historical inlet and outlet water information, historical dosing information, and a dust reduction ratio standard, the historical inlet and outlet water information being the inlet water quantity of an inlet in a historical period, the outlet water quantity of an outlet, the inlet water suspended matter concentration corresponding to the inlet water quantity, and the outlet water suspended matter concentration corresponding to the outlet water quantity, the historical dosing information being a dosing flow rate numerical parameter information corresponding to the inlet water suspended matter concentration and a real-time image of alum flowers in a tank, and the dust reduction ratio standard being used to represent a normal dust impurity ratio range of different inlet water suspended matter concentrations corresponding to different inlet water quantities and a water suspended matter concentration difference range corresponding to the same inlet and outlet water quantity;

[0007] performing image recognition processing on the real-time image of the alum flowers to obtain a dust reduction impurity content;

[0008] determining a dust reduction impurity ratio corresponding to different dosing flow rate numerical parameters in the historical dosing information according to the dust reduction impurity content and the inlet water suspended matter concentration;

[0009] performing data visualization processing on the historical inlet and outlet water information and the dust reduction impurity ratio to obtain a turbid circulating water treatment waveform graph corresponding to different unit time periods;

[0010] obtaining current inlet water information, the current inlet water information including a current inlet water quantity of a current inlet and a current water suspended matter concentration in the current inlet water quantity;

[0011] The current dosing data is determined based on the current influent information, the waveform diagram of the turbid circulating water treatment, and the dust reduction ratio standard.

[0012] In a preferred embodiment, this application can be further configured as follows: determining the proportion of settling impurities corresponding to different dosing flow rate parameters in the historical dosing information based on the settling impurity content and the influent suspended solids concentration includes:

[0013] The flow rate data of different types of drugs added during each water inflow are determined based on the numerical parameters of the drug dosing flow rate.

[0014] The dust impurity content is used as the denominator and the influent suspended solids concentration is used as the numerator to calculate the proportion of dust impurities corresponding to the drug flow rate data in different unit time periods.

[0015] In a preferred embodiment, this application can be further configured as follows: the data visualization processing of the historical influent and effluent information and the proportion of dust and impurities to obtain the turbid circulating water treatment waveform diagrams corresponding to different unit time periods includes:

[0016] The influent volume in the historical influent and effluent volume information is used as the denominator and the influent suspended solids concentration is used as the numerator to calculate the influent turbidity circulating water quality within a unit time period in the historical influent and effluent volume information.

[0017] The turbidity circulating water quality per unit time in the historical water outflow information is calculated by using the water outflow volume in the historical water outflow information as the denominator and the water outflow suspended solids concentration as the numerator.

[0018] Create a waveform coordinate system for turbid circulating water treatment, wherein the X-axis of the waveform coordinate system is the historical cycle time node, and the Y-axis of the waveform coordinate system is a proportional unit corresponding to the proportion of dust and impurities.

[0019] The proportion of dust impurities is mapped to the waveform coordinates of the turbid circulating water treatment according to the corresponding time nodes of the proportion, to obtain the initial turbid circulating water treatment fluctuation diagram.

[0020] The initial turbid circulating water quality treatment fluctuation diagram is updated according to time nodes by the influent turbid circulating water quality, the effluent turbid circulating water quality, and the drug flow rate data, to obtain the turbid circulating water treatment fluctuation diagram corresponding to different unit time periods.

[0021] In a preferred embodiment, this application can be further configured as follows: determining the current dosing data based on the current influent information, the turbid circulating water treatment waveform diagram, and the dust reduction ratio standard includes:

[0022] Determine the current influent volume and current suspended solids concentration based on the current influent information;

[0023] The current influent volume is used as the denominator and the current suspended solids concentration is used as the numerator to calculate the current turbid circulating water quality within a unit time period.

[0024] The current turbid circulating water quality is matched with the influent turbid circulating water quality in the turbid circulating water treatment waveform diagram to obtain at least one curve fluctuation diagram corresponding to the current turbid circulating water quality.

[0025] The target fluctuation chart is obtained by screening at least one curve fluctuation chart according to the dust reduction ratio standard.

[0026] The current dosing data is determined based on the drug flow data in the target fluctuation graph.

[0027] In a preferred embodiment, this application can be further configured such that: the step of filtering the at least one curve fluctuation graph according to the dust reduction ratio standard to obtain a target fluctuation graph includes:

[0028] The normal dust impurity ratio range in the dustfall ratio standard is used as the first screening condition to screen at least one curve fluctuation graph to obtain a first curve fluctuation graph group.

[0029] The water quality difference range corresponding to the same inlet and outlet is determined based on the range of water suspended solids concentration difference corresponding to the same inlet and outlet volume in the dust reduction ratio standard.

[0030] Using the water quality difference range as the second screening condition, a second curve fluctuation group that meets the second screening condition is determined based on the current turbid circulating water quality in the first curve fluctuation group.

[0031] The second set of curve fluctuation charts is sorted according to the drug flow data, and the curve fluctuation chart with the least drug flow data is selected as the target fluctuation chart.

[0032] In a preferred embodiment, this application may be further configured as follows: After performing data visualization processing on the historical influent and effluent information and the proportion of dust and impurities to obtain waveform diagrams of turbid circulating water treatment corresponding to different unit time periods, the application may further include:

[0033] Anomalies are assessed in the waveform diagram of the turbid circulating water treatment based on the dust reduction ratio standard. It is determined whether each set of curve data corresponding to the waveform diagram of the turbid circulating water treatment conforms to the normal dust reduction impurity ratio range and / or the range of water suspended solids concentration difference corresponding to the same influent and effluent water volume in the dust reduction ratio standard. If they do not conform, the turbid circulating water curve corresponding to the curve data is marked.

[0034] In a preferred embodiment, this application may be further configured as follows: after determining the current dosing data based on the current influent information, the turbid circulating water treatment waveform diagram, and the dust reduction ratio standard, the application may further include:

[0035] Based on the current dosing data, a dosing command is generated to control the dosing equipment to add chemicals to the turbid circulating water;

[0036] The system obtains the amount of drug reduction in the drug dispensing device and determines whether the current drug dispensing data is consistent with the amount of drug reduction. If they are inconsistent, a drug dispensing error warning is generated.

[0037] Secondly, this application provides an intelligent dosing control system for turbid circulating water in a steel plant, which adopts the following technical solution:

[0038] A smart dosing control system for turbid circulating water in a steel plant, comprising:

[0039] The information acquisition module is used to acquire historical influent and effluent information, historical dosing information, and dust reduction ratio standards. The historical influent and effluent information includes the influent flow rate and effluent flow rate of the influent and effluent flow rate within a historical period, the influent suspended solids concentration corresponding to the influent flow rate, and the effluent suspended solids concentration corresponding to the effluent flow rate. The historical dosing information includes the dosing flow rate parameter information corresponding to the influent suspended solids concentration and the real-time image of alum floc in the tank. The dust reduction ratio standard is used to represent the normal dust reduction impurity ratio range corresponding to different influent suspended solids concentrations for different influent flow rates and the range of water suspended solids concentration difference corresponding to the same influent and effluent flow rates.

[0040] The image recognition module is used to perform image recognition processing on the real-time image of the alum floc to obtain the content of sedimented impurities;

[0041] The proportion determination module is used to determine the proportion of sedimentation impurities corresponding to different dosing flow rate parameters in the historical dosing information based on the sedimentation impurity content and the influent suspended solids concentration.

[0042] The visualization processing module is used to perform data visualization processing on the historical influent and effluent information and the proportion of dust and impurities, and obtain the turbid circulating water treatment waveform diagrams corresponding to different unit time periods.

[0043] The water inlet information module is used to obtain current water inlet information, which includes the current water inlet volume and the current suspended solids concentration in the current water inlet volume;

[0044] The dosing determination module is used to determine the current dosing metering data based on the current influent information, the turbid circulating water treatment waveform diagram, and the dust reduction ratio standard.

[0045] In one possible implementation, when the proportion determination module determines the proportion of settling impurities corresponding to different dosing flow rate parameters in the historical dosing information based on the settling impurity content and the influent suspended solids concentration, it is specifically used for:

[0046] The flow rate data of different types of drugs added during each water inflow are determined based on the numerical parameters of the drug dosing flow rate.

[0047] The dust impurity content is used as the denominator and the influent suspended solids concentration is used as the numerator to calculate the proportion of dust impurities corresponding to the drug flow rate data in different unit time periods.

[0048] In another possible implementation, when the visualization processing module performs data visualization processing on the historical influent and effluent information and the proportion of dust and impurities to obtain the turbid circulating water treatment waveforms corresponding to different unit time periods, it is specifically used for:

[0049] The influent volume in the historical influent and effluent volume information is used as the denominator and the influent suspended solids concentration is used as the numerator to calculate the influent turbidity circulating water quality within a unit time period in the historical influent and effluent volume information.

[0050] The turbidity circulating water quality per unit time in the historical water outflow information is calculated by using the water outflow volume in the historical water outflow information as the denominator and the water outflow suspended solids concentration as the numerator.

[0051] Create a waveform coordinate system for turbid circulating water treatment, wherein the X-axis of the waveform coordinate system is the historical cycle time node, and the Y-axis of the waveform coordinate system is a proportional unit corresponding to the proportion of dust and impurities.

[0052] The proportion of dust impurities is mapped to the waveform coordinates of the turbid circulating water treatment according to the corresponding time nodes of the proportion, to obtain the initial turbid circulating water treatment fluctuation diagram.

[0053] The initial turbid circulating water quality treatment fluctuation diagram is updated according to time nodes by the influent turbid circulating water quality, the effluent turbid circulating water quality, and the drug flow rate data, to obtain the turbid circulating water treatment fluctuation diagram corresponding to different unit time periods.

[0054] In another possible implementation, when the dosing determination module determines the current dosing data based on the current influent information, the turbid circulating water treatment waveform diagram, and the dust reduction ratio standard, it is specifically used for:

[0055] Determine the current influent volume and current suspended solids concentration based on the current influent information;

[0056] The current influent volume is used as the denominator and the current suspended solids concentration is used as the numerator to calculate the current turbid circulating water quality within a unit time period.

[0057] The current turbid circulating water quality is matched with the influent turbid circulating water quality in the turbid circulating water treatment waveform diagram to obtain at least one curve fluctuation diagram corresponding to the current turbid circulating water quality.

[0058] The target fluctuation chart is obtained by screening at least one curve fluctuation chart according to the dust reduction ratio standard.

[0059] The current dosing data is determined based on the drug flow data in the target fluctuation graph.

[0060] In another possible implementation, when the dosing determination module filters the at least one curve fluctuation diagram according to the dust reduction ratio standard to obtain the target fluctuation diagram, it is specifically used for:

[0061] The normal dust impurity ratio range in the dustfall ratio standard is used as the first screening condition to screen at least one curve fluctuation graph to obtain a first curve fluctuation graph group.

[0062] The water quality difference range corresponding to the same inlet and outlet is determined based on the range of water suspended solids concentration difference corresponding to the same inlet and outlet volume in the dust reduction ratio standard.

[0063] Using the water quality difference range as the second screening condition, a second curve fluctuation group that meets the second screening condition is determined based on the current turbid circulating water quality in the first curve fluctuation group.

[0064] The second set of curve fluctuation charts is sorted according to the drug flow data, and the curve fluctuation chart with the least drug flow data is selected as the target fluctuation chart.

[0065] In another possible implementation, the system further includes a curve annotation module, wherein,

[0066] The curve annotation module is used to make anomaly judgments on the turbid circulating water treatment waveform diagram according to the dust reduction ratio standard, and to determine whether each set of curve data corresponding to the turbid circulating water treatment waveform diagram conforms to the normal dust reduction impurity ratio range and / or the water suspended solids concentration difference range corresponding to the same influent and effluent water volume in the dust reduction ratio standard. If it does not conform, the turbid circulating water curve corresponding to the curve data is annotated.

[0067] In another possible implementation, the system further includes: a dosing control module and a drug verification module, wherein,

[0068] The dosing control module is used to generate a dosing command based on the current dosing metering data and control the dosing equipment to add chemicals to the turbid circulating water;

[0069] The drug verification module is used to obtain the drug reduction content of the drug dispensing device and determine whether the current drug dosing data is consistent with the drug reduction content. If they are inconsistent, a drug dosing abnormality warning is generated.

[0070] Thirdly, this application provides an electronic device that adopts the following technical solution:

[0071] At least one processor;

[0072] Memory;

[0073] At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application being configured to: perform the above-described intelligent dosing control method for turbid circulating water in a steel plant.

[0074] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution:

[0075] A computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to perform the aforementioned intelligent dosing control method for turbid circulating water in a steel plant.

[0076] In summary, this application includes at least one of the following beneficial technical effects:

[0077] When controlling the dosing of chemicals in the current turbid circulating water of a steel plant, historical influent and effluent information, historical dosing information, and dust reduction ratio standards are acquired. Historical influent and effluent information includes the influent and effluent flow rates, the corresponding influent suspended solids concentrations, and the corresponding effluent suspended solids concentrations within a historical period. Historical dosing information includes the dosing flow rate parameters corresponding to the influent suspended solids concentration and real-time images of alum flocs within the tank. The dust reduction ratio standard represents the normal dust reduction impurity ratio range for different influent suspended solids concentrations corresponding to different influent flow rates, and the range of suspended solids concentration differences for the same influent and effluent flow rates. Then, image recognition processing is performed on the real-time alum floc images to obtain the settled impurity content. Finally, based on the settled impurity content... The proportion of sedimented impurities corresponding to different dosing flow rates in historical dosing information is determined by the concentration of suspended solids in the influent. Then, the historical influent and effluent information and the proportion of sedimented impurities are visualized to obtain the waveform diagram of turbid circulating water treatment for different time periods. The current influent information is obtained, including the current influent flow rate and the current suspended solids concentration in the current influent flow rate. Based on the current influent information, the waveform diagram of turbid circulating water treatment, and the standard for sedimented impurities, the current dosing metering data is determined. The work is carried out according to the current dosing metering data, which not only reduces unnecessary waste of drugs, but also improves the suspended solids filtration effect of turbid circulating water, thereby improving the water quality assurance after turbid circulating water dosing treatment. Attached Figure Description

[0078] Figure 1 A schematic flowchart of an intelligent dosing control method for turbid circulating water in a steel plant, provided as an embodiment of this application;

[0079] Figure 2 A schematic diagram of the structure of an intelligent dosing control system for turbid circulating water in a steel plant, provided in an embodiment of this application;

[0080] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0081] The following is in conjunction with the appendix Figure 1 To be continued Figure 3 This application will be described in further detail.

[0082] This specific embodiment is merely an explanation of this application and is not intended to limit it. After reading this specification, those skilled in the art can make modifications to this embodiment without contributing any inventive step, but such modifications are protected by patent law as long as they fall within the scope of the claims of this application.

[0083] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0084] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0085] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0086] This application provides an intelligent dosing control method for turbid circulating water in a steel plant, executed by an electronic device. This electronic device can be a server or a terminal device. The server can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smartphone, tablet, laptop, desktop computer, etc., but is not limited to these. The terminal device and the server can be directly or indirectly connected via wired or wireless communication. This application does not impose any limitations on this method. Figure 1 As shown, the method includes:

[0087] Step S10: Obtain historical influent and effluent water information, historical chemical dosing information, and dust reduction ratio standards.

[0088] Among them, the historical inlet and outlet water information includes the inlet water volume and outlet water volume within the historical period, the inlet water suspended solids concentration corresponding to the inlet water volume, and the outlet water suspended solids concentration corresponding to the outlet water volume. The historical dosing information includes the dosing flow rate numerical parameter information corresponding to the inlet water suspended solids concentration and the real-time image of alum floc in the tank. The dust reduction ratio standard is used to represent the normal dust reduction impurity ratio range corresponding to different inlet water suspended solids concentrations for different inlet water volumes and the range of water suspended solids concentration difference corresponding to the same inlet and outlet water volumes.

[0089] Step S11: Perform image recognition processing on the real-time image of alum floc to obtain the content of sedimented impurities.

[0090] Specifically, the real-time image of alum floc refers to an image containing alum floc captured in real time by a camera or other imaging device during a certain turbid circulating water chemical treatment process. Alum floc is a flocculent precipitate formed through a physicochemical reaction after the addition of coagulants such as aluminum salts and iron salts to water. It suspends in the water and adsorbs impurities, aiding in the subsequent removal of impurities. Image recognition processing refers to the use of computer vision technology to analyze and process images to identify specific targets or features within them. In the embodiments of this application, image recognition processing is used to analyze the real-time image of alum floc and extract the content characteristics of the flocculent precipitate.

[0091] Specifically, when flocs form and begin to settle in the water, the camera captures this process in real time and generates real-time images of the flocs. At this point, the image recognition system is triggered to perform rapid and accurate analysis of the received images. By analyzing the distribution, size, and morphology of the flocs in the images, the system can assess the flocs' adsorption capacity for impurities and their settling efficiency, thereby calculating the current content of settled impurities.

[0092] In this embodiment, the real-time image of alum floc is first preprocessed using an edge detection algorithm to extract the edge information of the alum floc. Then, based on the extracted edge information, morphological analysis is used to further identify the morphological features and distribution of the alum floc. Finally, based on the relationship model between the morphological features of the alum floc (such as size and density) and the known adsorption capacity of impurities, the current content of settling impurities is calculated. Alternatively, deep learning technology can be used to calculate the content of settling impurities. First, a dataset containing a large number of alum floc images and their corresponding settling impurity content labels is constructed. Then, a convolutional neural network (CNN) model is trained using this dataset to automatically learn the mapping relationship between alum floc images and settling impurity content. After training, the real-time acquired alum floc images are input into the model to directly output the current content of settling impurities.

[0093] Step S12: Perform peak value calculation and analysis on the fault current fluctuation diagram to obtain the fault peak value standard.

[0094] Specifically, the fault fluctuation curves of different fault types in the fault current fluctuation diagram are segmented according to the preset wave distance to obtain the fluctuation curve set corresponding to each fault type. Then, the maximum peak value, minimum peak value, and peak period time corresponding to the maximum and minimum peak values ​​of each fluctuation curve in the fluctuation curve set are collected. The average value of the maximum and minimum peak values ​​is calculated, and the calculated fluctuation average value is used as the numerator and the peak period time time is used as the denominator to obtain the curve representative value of each fluctuation curve in the fluctuation curve set. Then, the curve representative values ​​in each fluctuation curve set are sorted according to size to obtain the peak curve sequence. Finally, the peak curve sequence is bound to the fault type corresponding to the fluctuation curve set to obtain the fault peak standard.

[0095] Step S13: Determine the proportion of sedimentation impurities corresponding to different dosing flow rate parameters in the historical dosing information based on the sedimentation impurity content and the influent suspended solids concentration.

[0096] Specifically, based on the numerical parameters of the chemical dosing flow rate, the flow rate data of different types of chemicals added after each water inlet in the historical water inlet and outlet information are determined. Then, the dust and impurity content is used as the denominator and the suspended solids concentration in the inlet water is used as the numerator to calculate the proportion of dust and impurities corresponding to the chemical flow rate data in different unit time periods.

[0097] Step S14: Perform data visualization processing on historical influent and effluent information and the proportion of dust and impurities to obtain the waveform diagram of turbid circulating water treatment corresponding to different unit time periods.

[0098] Specifically, the influent volume from historical influent and effluent information is used as the denominator and the influent suspended solids concentration as the numerator to calculate the influent turbid circulating water quality within a unit time period in historical influent and effluent information. Similarly, the effluent volume from historical effluent information is used as the denominator and the effluent suspended solids concentration as the numerator to calculate the effluent turbid circulating water quality within a unit time period in historical influent and effluent information. A turbid circulating water treatment waveform coordinate system is created, with the X-axis representing the historical cycle time node and the Y-axis representing the proportional unit corresponding to the dust and impurities ratio. The dust and impurities ratio is mapped to the turbid circulating water treatment waveform coordinate system according to the proportional generation time node to obtain the initial turbid circulating water treatment fluctuation diagram. The influent turbid circulating water quality, effluent turbid circulating water quality, and drug flow data are updated according to the time node to obtain the turbid circulating water treatment fluctuation diagram corresponding to different unit time periods.

[0099] Step S15: Obtain current water inflow information.

[0100] The current water intake information includes the current water intake volume at the current water inlet and the current concentration of suspended solids in the current water intake volume.

[0101] Step S16: Determine the current dosing data based on the current influent information, the waveform diagram of turbid circulating water treatment, and the dust reduction ratio standard.

[0102] Specifically, based on the current influent information, the current influent volume and the current suspended solids concentration are determined. The current influent volume is used as the denominator and the current suspended solids concentration is used as the numerator for calculation to obtain the current turbid circulating water quality within a unit time period. The current turbid circulating water quality is matched with the influent turbid circulating water quality in the turbid circulating water treatment waveform diagram to obtain at least one curve fluctuation diagram corresponding to the current turbid circulating water quality. The at least one curve fluctuation diagram is screened according to the dust reduction ratio standard to obtain the target fluctuation diagram. The current dosing metering data is determined based on the drug flow rate data in the target fluctuation diagram.

[0103] Specifically, the normal dust impurity ratio range in the dustfall ratio standard is used as the first screening condition to screen at least one curve fluctuation graph to obtain a first curve fluctuation graph group. The water quality difference range corresponding to the same inlet and outlet is determined according to the water suspended solids concentration difference range corresponding to the same inlet and outlet in the dustfall ratio standard. The water quality difference range is used as the second screening condition. Based on the current turbid circulating water quality, a second curve fluctuation graph group that meets the second screening condition is determined in the first curve fluctuation graph group. The second curve fluctuation graph group is sorted according to the drug flow rate data, and the curve fluctuation graph with the least drug flow rate data is used as the target fluctuation graph.

[0104] In this embodiment, when controlling the dosing of turbid circulating water in a steel plant, historical influent and effluent information, historical dosing information, and dust reduction ratio standards are acquired. The historical influent and effluent information includes the influent and effluent flow rates, the corresponding influent suspended solids concentration, and the corresponding effluent suspended solids concentration within a historical period. The historical dosing information includes the dosing flow rate parameters corresponding to the influent suspended solids concentration and real-time images of alum flocs in the tank. The dust reduction ratio standard represents the normal dust reduction impurity ratio range for different influent suspended solids concentrations corresponding to different influent flow rates and the range of suspended solids concentration differences corresponding to the same influent and effluent flow rates. Then, image recognition processing is performed on the real-time alum floc images to obtain the content of settled impurities. Finally, based on the settled impurities... The proportion of sedimented impurities corresponding to different dosing flow rates in historical dosing information is determined by analyzing the content of impurities and the concentration of suspended solids in the influent. Then, the historical influent and effluent information and the proportion of sedimented impurities are visualized to obtain the waveform diagram of turbid circulating water treatment for different time periods. The current influent information is obtained, including the current influent flow rate and the current suspended solids concentration in the current influent flow rate. Based on the current influent information, the waveform diagram of turbid circulating water treatment, and the standard for sedimentation ratio, the current dosing metering data is determined. The work is carried out according to the current dosing metering data, which not only reduces unnecessary waste of drugs, but also improves the suspended solids filtration effect of turbid circulating water, thereby improving the water quality assurance after turbid circulating water dosing treatment.

[0105] One possible implementation of this application involves visualizing historical influent and effluent water information and the proportion of dust and impurities to obtain turbid circulating water treatment waveforms corresponding to different time periods. The method further includes: performing anomaly judgment on the turbid circulating water treatment waveforms based on dust and impurity ratio standards; determining whether each set of curve data corresponding to the turbid circulating water treatment waveforms conforms to the normal dust and impurity ratio range and / or the range of water suspended solids concentration differences corresponding to the same influent and effluent water volume in the dust and impurity ratio standards; if not, then marking the turbid circulating water curve corresponding to the curve data.

[0106] In one possible implementation of this application, the current dosing data is determined based on the current influent information, the waveform diagram of the turbid circulating water treatment, and the dust reduction ratio standard. The method further includes: generating a dosing instruction based on the current dosing data, controlling the dosing equipment to dosing the turbid circulating water, obtaining the drug reduction content in the holding equipment, and determining whether the current dosing data is consistent with the drug reduction content. If they are inconsistent, a dosing abnormality warning is generated.

[0107] The above embodiments describe an intelligent dosing control method for turbid circulating water in a steel plant from the perspective of process flow. The following embodiments describe an intelligent dosing control system for turbid circulating water in a steel plant from the perspective of virtual modules or virtual units. For details, please refer to the following embodiments.

[0108] This application provides an intelligent dosing control system 20 for turbid circulating water in a steel plant, such as... Figure 2 As shown, Figure 2 This is a schematic diagram of a smart dosing control system for turbid circulating water in a steel plant, provided as an embodiment of this application. Specifically, the system 20 may include:

[0109] The information acquisition module 21 is used to acquire historical inlet and outlet water information, historical dosing information, and dust reduction ratio standard. The historical inlet and outlet water information includes the inlet water volume and outlet water volume within the historical period, the inlet water suspended solids concentration corresponding to the inlet water volume, and the outlet water suspended solids concentration corresponding to the outlet water volume. The historical dosing information includes the dosing flow rate numerical parameter information corresponding to the inlet water suspended solids concentration and the real-time image of alum floc in the tank. The dust reduction ratio standard is used to represent the normal dust reduction impurity ratio range corresponding to different inlet water suspended solids concentrations for different inlet water volumes and the range of water suspended solids concentration difference corresponding to the same inlet and outlet water volumes.

[0110] Image recognition module 22 is used to perform image recognition processing on real-time images of alum flocs to obtain the content of sedimented impurities;

[0111] The proportion determination module 23 is used to determine the proportion of sedimentation impurities corresponding to different dosing flow rate parameters in the historical dosing information based on the sedimentation impurity content and the influent suspended solids concentration.

[0112] The visualization processing module 24 is used to perform data visualization processing on historical influent and effluent water information and the proportion of dust and impurities, and to obtain the turbid circulating water treatment waveform diagram corresponding to different unit time periods.

[0113] The water inlet information module 25 is used to obtain the current water inlet information, which includes the current water inlet volume and the current suspended solids concentration in the current water inlet volume;

[0114] The dosing determination module 26 is used to determine the current dosing metering data based on the current influent information, the waveform diagram of turbid circulating water treatment, and the dust reduction ratio standard.

[0115] In one possible implementation of this application embodiment, when determining the proportion of settling impurities corresponding to different dosing flow rate parameters in historical dosing information based on the content of settling impurities and the concentration of suspended solids in the influent, the proportion determination module 23 is specifically used for:

[0116] Based on the chemical dosing flow rate parameters, determine the flow rate data of different types of chemicals added after each water inflow in the historical water inflow and outflow information;

[0117] The dust impurity content was used as the denominator and the influent suspended solids concentration was used as the numerator to calculate the proportion of dust impurities corresponding to the drug flow rate data in different unit time periods.

[0118] In another possible implementation of this application embodiment, when the visualization processing module 24 performs data visualization processing on historical influent and effluent information and the proportion of dust and impurities to obtain the turbid circulating water treatment waveform diagrams corresponding to different unit time periods, it is specifically used for:

[0119] The influent volume in the historical influent and effluent information is used as the denominator and the influent suspended solids concentration is used as the numerator to calculate the influent turbidity circulating water quality within a unit time period in the historical influent and effluent information.

[0120] The turbidity of the circulating water per unit time in the historical influent and effluent information is calculated by using the effluent volume in the historical effluent information as the denominator and the effluent suspended solids concentration as the numerator.

[0121] Create a waveform coordinate system for turbid circulating water treatment. The X-axis of the waveform coordinate system represents the historical cycle time node, and the Y-axis represents the proportional unit corresponding to the proportion of dust and impurities.

[0122] The proportion of dust and impurities is mapped to the waveform coordinates of the turbid circulating water treatment according to the time nodes of the proportion, and the initial turbid circulating water treatment fluctuation diagram is obtained.

[0123] The initial turbidity circulating water quality treatment fluctuation diagram was updated according to the influent turbidity circulating water quality, effluent turbidity circulating water quality, and drug flow data according to time nodes, so as to obtain the corresponding turbidity circulating water treatment fluctuation diagrams for different unit time periods.

[0124] In one possible implementation of this application embodiment, when the dosing determination module 26 determines the current dosing metering data based on the current influent information, the turbid circulating water treatment waveform diagram, and the dust reduction ratio standard, it is specifically used for:

[0125] Determine the current inflow volume and current suspended solids concentration based on the current inflow information;

[0126] The current influent volume is used as the denominator and the current suspended solids concentration is used as the numerator to calculate the current turbidity circulating water quality within a unit time period.

[0127] Match the current turbid circulating water quality with the influent turbid circulating water quality in the turbid circulating water treatment waveform diagram to obtain at least one curve fluctuation diagram corresponding to the current turbid circulating water quality.

[0128] At least one curve fluctuation diagram is screened based on the dust reduction ratio standard to obtain the target fluctuation diagram;

[0129] The current dosing data is determined based on the drug flow data in the target fluctuation graph.

[0130] In one possible implementation of this application embodiment, when the dosing determination module 26 filters at least one curve fluctuation graph according to the dust reduction ratio standard to obtain a target fluctuation graph, it is specifically used for:

[0131] Using the normal dust impurity ratio range in the dustfall ratio standard as the first screening condition, at least one curve fluctuation graph is screened to obtain the first curve fluctuation graph group.

[0132] The water quality difference range corresponding to the same inlet and outlet is determined based on the range of water suspension concentration difference corresponding to the same inlet and outlet volume in the dust reduction ratio standard.

[0133] Using the water quality difference range as the second screening condition, the second curve fluctuation group that meets the second screening condition is determined based on the current turbid circulating water quality;

[0134] The second set of curve fluctuation charts is sorted according to drug flow data, and the curve fluctuation chart with the least drug flow data is selected as the target fluctuation chart.

[0135] In one possible implementation of this application embodiment, the system further includes: a curve annotation module, wherein...

[0136] The curve annotation module is used to make anomaly judgments on the waveform diagram of turbid circulating water treatment according to the dustfall ratio standard. It determines whether each set of curve data corresponding to the waveform diagram of turbid circulating water treatment conforms to the normal dustfall impurity ratio range and / or the water suspended solids concentration difference range corresponding to the same influent and effluent water volume in the dustfall ratio standard. If it does not conform, the turbid circulating water curve corresponding to the curve data is annotated.

[0137] In one possible implementation of this application embodiment, system 20 further includes: a dosing control module and a drug verification module, wherein...

[0138] The dosing control module is used to generate dosing instructions based on the current dosing metering data and control the dosing equipment to add chemicals to the turbid circulating water;

[0139] The drug verification module is used to obtain the drug reduction content of the drug dispensing equipment and determine whether the current drug dosing data is consistent with the drug reduction content. If they are inconsistent, a drug dosing abnormality warning is generated.

[0140] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the intelligent dosing control system 20 for turbid circulating water in a steel plant described above can be referred to the corresponding process in the aforementioned method embodiments, and will not be repeated here.

[0141] This application provides an electronic device, such as... Figure 3 As shown, Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 3 The illustrated electronic device 300 includes a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, for example, via a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that in practical applications, the transceiver 304 is not limited to one type, and the structure of this electronic device 300 does not constitute a limitation on the embodiments of this application.

[0142] Processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 301 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0143] Bus 302 may include a pathway for transmitting information between the aforementioned components. Bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Bus 302 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 3 The symbol is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0144] The memory 303 may be a ROM (Read Only Memory) or other type of static storage device capable of storing static information and instructions, RAM (Random Access Memory) or other type of dynamic storage device capable of storing information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0145] The memory 303 is used to store application code that executes the solution of this application, and its execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the content shown in the foregoing method embodiments.

[0146] Electronic devices include, but are not limited to: mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (such as in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Servers can also be included. Figure 3 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0147] This application provides a computer-readable storage medium storing a computer program that, when run on a computer, enables the computer to execute the corresponding content in the aforementioned method embodiments.

[0148] It should be understood that although the steps in the flowcharts of the accompanying figures are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the accompanying figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0149] The above are only some embodiments of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for intelligent dosing control of turbid circulating water in a steel plant, characterized in that, include: The system acquires historical influent and effluent information, historical chemical dosing information, and a sedimentation ratio standard. The historical influent and effluent information includes the influent flow rate and effluent flow rate within a historical period, the influent suspended solids concentration corresponding to the influent flow rate, and the effluent suspended solids concentration corresponding to the effluent flow rate. The historical chemical dosing information includes the chemical dosing flow rate parameter information corresponding to the influent suspended solids concentration and a real-time image of floc in the tank. The sedimentation ratio standard is used to represent the normal sedimentation impurity ratio range corresponding to different influent suspended solids concentrations for different influent flow rates and the range of suspended solids concentration differences corresponding to the same influent and effluent flow rates. The content of sedimented impurities is obtained by performing image recognition processing on the real-time image of the alum floc; The proportion of settled impurities corresponding to different dosing flow rate parameters in the historical dosing information is determined based on the settled impurity content and the influent suspended solids concentration. The step of determining the proportion of settling impurities corresponding to different dosing flow rate parameters in the historical dosing information based on the settling impurity content and the influent suspended solids concentration includes: The flow rate data of different types of drugs added during each water inflow are determined based on the numerical parameters of the drug dosing flow rate. The proportion of sedimented impurities corresponding to the drug flow rate data in different unit time periods is calculated by using the content of sedimented impurities as the denominator and the concentration of suspended solids in the influent as the numerator. The historical influent and effluent information and the proportion of sedimented impurities are visualized to obtain the turbid circulating water treatment waveforms corresponding to different time periods. The process of visualizing the historical influent and effluent information and the proportion of settled impurities to obtain turbid circulating water treatment waveforms for different time periods includes: The influent volume in the historical influent and effluent volume information is used as the denominator and the influent suspended solids concentration is used as the numerator to calculate the influent turbidity circulating water quality within a unit time period in the historical influent and effluent volume information. The turbidity circulating water quality per unit time in the historical water outflow information is calculated by using the water outflow volume in the historical water outflow information as the denominator and the water outflow suspended solids concentration as the numerator. Create a waveform coordinate system for turbid circulating water treatment, wherein the X-axis of the waveform coordinate system is the historical cycle time node, and the Y-axis of the waveform coordinate system is a proportional unit corresponding to the proportion of settled impurities. The proportion of sedimented impurities is mapped to the waveform coordinates of the turbid circulating water treatment according to the time nodes of the proportion, to obtain the initial turbid circulating water treatment fluctuation diagram. The initial turbid circulating water quality treatment fluctuation diagram is updated according to time nodes by the influent turbid circulating water quality, the effluent turbid circulating water quality, and the drug flow rate data to obtain the turbid circulating water treatment fluctuation diagram corresponding to different unit time periods. Obtain current water intake information, which includes the current water intake volume at the current water inlet and the current concentration of suspended solids in the current water intake volume; The current dosing data is determined based on the current influent information, the waveform diagram of the turbid circulating water treatment, and the sedimentation ratio standard.

2. The intelligent dosing control method for turbid circulating water in a steel plant according to claim 1, characterized in that, The step of determining the current dosing data based on the current influent information, the turbid circulating water treatment waveform diagram, and the sedimentation ratio standard includes: Determine the current influent volume and current suspended solids concentration based on the current influent information; The current influent volume is used as the denominator and the current suspended solids concentration is used as the numerator to calculate the current turbid circulating water quality within a unit time period. The current turbid circulating water quality is matched with the influent turbid circulating water quality in the turbid circulating water treatment waveform diagram to obtain at least one curve fluctuation diagram corresponding to the current turbid circulating water quality. The target fluctuation diagram is obtained by filtering the at least one curve fluctuation diagram according to the settlement ratio standard. The current dosing data is determined based on the drug flow data in the target fluctuation graph.

3. The intelligent dosing control method for turbid circulating water in a steel plant according to claim 2, characterized in that, The step of filtering the at least one curve fluctuation diagram according to the settlement ratio standard to obtain the target fluctuation diagram includes: The normal settling impurity ratio range in the settling ratio standard is used as the first screening condition to screen the at least one curve fluctuation graph to obtain the first curve fluctuation graph group. The water quality difference range corresponding to the same inlet and outlet is determined based on the range of water suspended solids concentration difference corresponding to the same inlet and outlet volume in the sedimentation ratio standard. Using the water quality difference range as the second screening condition, a second curve fluctuation group that meets the second screening condition is determined based on the current turbid circulating water quality in the first curve fluctuation group. The second set of curve fluctuation charts is sorted according to the drug flow data, and the curve fluctuation chart with the least drug flow data is selected as the target fluctuation chart.

4. The intelligent dosing control method for turbid circulating water in a steel plant according to claim 1, characterized in that, The process involves visualizing the historical influent and effluent information and the proportion of settled impurities to obtain waveforms of turbid circulating water treatment within different time periods. This is followed by: Anomalies are assessed in the turbid circulating water treatment waveform diagram based on the settling ratio standard. It is determined whether each set of curve data corresponding to the turbid circulating water treatment waveform diagram conforms to the normal settling impurity ratio range and / or the range of suspended solids concentration difference corresponding to the same influent and effluent flow rate in the settling ratio standard. If not, the turbid circulating water curve corresponding to the curve data is marked.

5. The intelligent dosing control method for turbid circulating water in a steel plant according to claim 1, characterized in that, The process of determining the current dosing data based on the current influent information, the turbid circulating water treatment waveform diagram, and the sedimentation ratio standard further includes: Based on the current dosing data, a dosing command is generated to control the dosing equipment to add chemicals to the turbid circulating water; The system obtains the amount of drug reduction in the drug dispensing device and determines whether the current drug dispensing data is consistent with the amount of drug reduction. If they are inconsistent, a drug dispensing error warning is generated.

6. A smart dosing control system for turbid circulating water in a steel plant, characterized in that, include: The information acquisition module is used to acquire historical influent and effluent information, historical dosing information, and sedimentation ratio standards. The historical influent and effluent information includes the influent flow rate and effluent flow rate within a historical period, the influent suspended solids concentration corresponding to the influent flow rate, and the effluent suspended solids concentration corresponding to the effluent flow rate. The historical dosing information includes the dosing flow rate parameter information corresponding to the influent suspended solids concentration and real-time images of floc in the tank. The sedimentation ratio standard is used to represent the normal sedimentation impurity ratio range corresponding to different influent suspended solids concentrations for different influent flow rates and the range of suspended solids concentration differences corresponding to the same influent and effluent flow rates. The image recognition module is used to perform image recognition processing on the real-time image of the alum floc to obtain the content of sedimented impurities; The proportion determination module is used to determine the proportion of sedimentation impurities corresponding to different dosing flow rate parameters in the historical dosing information based on the sedimentation impurity content and the influent suspended solids concentration. When determining the proportion of settling impurities corresponding to different dosing flow rate parameters in the historical dosing information based on the settling impurity content and the influent suspended solids concentration, the proportion determination module is specifically used for: The flow rate data of different types of drugs added during each water inflow are determined based on the numerical parameters of the drug dosing flow rate. The proportion of sedimented impurities corresponding to the drug flow rate data in different unit time periods is calculated by using the content of sedimented impurities as the denominator and the concentration of suspended solids in the influent as the numerator. The visualization processing module is used to perform data visualization processing on the historical influent and effluent information and the proportion of sedimented impurities to obtain the turbid circulating water treatment waveform diagrams corresponding to different unit time periods. The visualization processing module, when performing data visualization processing on the historical influent and effluent information and the proportion of settled impurities to obtain the turbid circulating water treatment waveforms corresponding to different unit time periods, is specifically used for: The influent volume in the historical influent and effluent volume information is used as the denominator and the influent suspended solids concentration is used as the numerator to calculate the influent turbidity circulating water quality within a unit time period in the historical influent and effluent volume information. The turbidity circulating water quality per unit time in the historical water outflow information is calculated by using the water outflow volume in the historical water outflow information as the denominator and the water outflow suspended solids concentration as the numerator. Create a waveform coordinate system for turbid circulating water treatment, wherein the X-axis of the waveform coordinate system is the historical cycle time node, and the Y-axis of the waveform coordinate system is a proportional unit corresponding to the proportion of settled impurities. The proportion of sedimented impurities is mapped to the waveform coordinates of the turbid circulating water treatment according to the time nodes of the proportion, to obtain the initial turbid circulating water treatment fluctuation diagram. The initial turbid circulating water quality treatment fluctuation diagram is updated according to time nodes by the influent turbid circulating water quality, the effluent turbid circulating water quality, and the drug flow rate data to obtain the turbid circulating water treatment fluctuation diagram corresponding to different unit time periods. The water inlet information module is used to obtain current water inlet information, which includes the current water inlet volume and the current suspended solids concentration in the current water inlet volume; The dosing determination module is used to determine the current dosing metering data based on the current influent information, the turbid circulating water treatment waveform diagram, and the sedimentation ratio standard.

7. An electronic device, characterized in that, It includes: One or more processors; Memory; One or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more applications being configured to: execute a method for intelligent dosing control of turbid circulating water in a steel plant according to any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements the intelligent dosing control method for turbid circulating water in a steel plant as described in any one of claims 1 to 5.

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