Process adjustment method and device based on water quality monitoring in sewage treatment

Abstract

The present application relates to the technical field of sewage treatment, and discloses a process adjustment method and device based on water quality monitoring in sewage treatment, the method comprising creating a digital twin model based on the design drawings of the sewage treatment plant and marking performance index parameters, generating a purification evaluation model based on each performance index parameter; obtaining the inlet detection parameters of the input sewage to calculate several index concentrations and index to-be-treated volumes, and when it is detected that the concentration exceeds the standard or the to-be-treated volume exceeds the standard, generating a dilution instruction or a water storage instruction and sending it to a water adjustment component; obtaining purification detection parameters, and calculating each index clearance rate in combination with the inlet detection parameters, and generating an abnormality troubleshooting signal when the index clearance rate is less than the theoretical clearance rate lower limit; inputting each inlet detection parameter, the in-tank detection parameter and the temporary storage water volume into the purification evaluation model to generate an abnormal sewage modulation instruction and sending it to the water adjustment component; the present application has the effect of improving the compatibility of the sewage treatment process with the sewage treatment load.

Description

Technical Field

[0001] The present application relates to the technical field of sewage treatment, and in particular to a process adjustment method and device based on water quality monitoring in sewage treatment. Background Art

[0002] Domestic sewage and industrial sewage need to be treated before being discharged into natural waters or reused to reduce the harmfulness of the sewage; however, when the quality or flow of sewage input to the sewage treatment plant changes, the sewage treatment load of the sewage treatment plant will fluctuate, resulting in substandard sewage treatment quality or excessively high sewage treatment costs; therefore, existing sewage treatment plants have the problem that sewage treatment processes are difficult to adapt to the sewage treatment load. Summary of the invention

[0003] In order to improve the compatibility between sewage treatment process and sewage treatment load, the present application provides a process adjustment method and device based on water quality monitoring in sewage treatment.

[0004] The first invention objective of this application is achieved by adopting the following technical solution:

[0005] Process adjustment methods based on water quality monitoring in wastewater treatment include:

[0006] Creating a digital twin model based on the design drawings of the sewage treatment plant, marking performance indicator parameters in the digital twin model, and generating a purification evaluation model based on each of the performance indicator parameters;

[0007] Obtain the inlet detection parameters of the input sewage to calculate the concentration of several indicators and the amount of indicators to be treated of various pollutants. When it is detected that the concentration exceeds the standard or the amount to be treated exceeds the standard, generate the corresponding dilution instruction or water storage instruction and send it to the corresponding water transfer component;

[0008] Obtain the purification detection parameters of the purification facility, and calculate the index removal rate of various pollutants in combination with the corresponding water inlet detection parameters. When the index removal rate is less than the corresponding theoretical removal rate lower limit, generate the corresponding abnormality troubleshooting signal and send it to the inspection terminal;

[0009] Input the water inlet detection parameters of each purification facility, the in-tank detection parameters of each temporary storage tank, and the temporary storage water volume into the purification evaluation model to generate abnormal sewage modulation instructions and send them to the corresponding water modulation components;

[0010] The design drawings record the shape parameters, size parameters, location parameters and performance index parameters of each purification facility in the sewage treatment plant, as well as the location parameters of several detection sensors; the purification facilities include grit chambers, primary sedimentation tanks, biological purification tanks, secondary sedimentation tanks, ozone treatment tanks, and filtration tanks, and each purification facility is provided with a corresponding temporary storage tank; the detection parameters include the sewage flow, physical index data, chemical index data and biological index data of each purification facility; the dilution instruction refers to an instruction for controlling the water transfer component to transfer dilution water to the purification facility; the water storage instruction refers to an instruction for controlling the water transfer component to transfer abnormal sewage to the temporary storage tank; the abnormal sewage modulation instruction refers to an instruction for controlling the water transfer component to modulate the abnormal sewage in different temporary storage tanks and re-input it into the purification facility.

[0011] By adopting the above technical solution, a corresponding digital twin model is created based on the design drawings of the sewage treatment plant and the performance index parameters are marked, so as to obtain the water storage structure, water delivery structure, performance index parameters, etc. of each purification facility in the sewage treatment plant, determine the sewage treatment link to which each detection parameter belongs, and create a purification evaluation model based on the performance index parameters of each purification facility in the sewage treatment plant, so as to subsequently evaluate the sewage treatment effect through computer simulation; the inlet detection parameters of the input sewage are obtained to calculate several index concentrations and index to-be-treated amounts of various pollutants according to the sewage flow, physical index data, chemical index data, and biological index data in the inlet detection parameters, so as to determine whether the content of various pollutants exceeds the treatment capacity of the purification facility in the sewage treatment plant. When it is detected that the concentration exceeds the standard, a corresponding dilution instruction is generated and sent to the water adjustment component to dilute the sewage in the purification facility to a state that meets the treatment capacity of the purification facility. When it is detected that the to-be-treated amount exceeds the standard, a corresponding water storage instruction is generated and sent to the adjustment component. The water component is used to transmit abnormal sewage with excessive concentration of some pollutants or excessive total amount of pollutants to the temporary storage tank, and determine whether it is necessary to dilute the sewage in the purification facility; obtain the purification detection parameters of the purification facility, and calculate the removal rate of various pollutants by the current purification facility in combination with the water inlet detection parameters to calculate the removal rate of each indicator. When the removal rate of any indicator is less than the corresponding theoretical removal rate lower limit, the purification effect of this type of pollutant is abnormal, and the corresponding abnormal investigation signal is generated and sent to the inspection terminal so that the inspection personnel can be informed of the situation and eliminate possible faults in a targeted manner; the water inlet detection parameters of each purification facility, the in-tank detection parameters of each temporary storage tank and the temporary storage water input value are input into the purification evaluation model to generate a treatment plan for abnormal sewage in the temporary storage tank according to the treatment capacity of each purification facility and the current sewage input situation, and then generate abnormal sewage modulation instructions and send them to the corresponding water modulation components to treat the sewage in the temporary storage tank and improve the fit between the sewage treatment process and the sewage treatment load.

[0012] In a preferred example of the present application, the water inlet detection parameters of the input sewage are obtained to calculate several index concentrations and index to-be-treated quantities of various pollutants. When it is detected that the concentration exceeds the standard or the to-be-treated quantity exceeds the standard, a corresponding dilution instruction or water storage instruction is generated and sent to the corresponding water adjustment component, including:

[0013] Obtain corresponding water inlet detection parameters from the detection sensor at the water inlet of the target purification facility, and calculate the index concentration and index to-be-treated amount of various pollutants in the sewage input into the target purification facility per unit time based on the sewage flow and physical index data, chemical index data and biological index data;

[0014] Compare the concentration of each indicator with the corresponding concentration threshold. When any indicator concentration exceeds the corresponding concentration threshold, calculate the dilution water flow rate based on the indicator concentration, sewage flow rate and dilution water detection parameters to generate a dilution instruction and send it to the corresponding water transfer component;

[0015] The amount of waste water to be treated of each indicator is compared with the corresponding threshold value of the amount of waste water to be treated. When the amount of waste water to be treated of any indicator exceeds the corresponding threshold value of the amount of waste water to be treated, the flow rate of waste water to be stored is calculated based on the amount of waste water to be treated of this indicator, the threshold value of the amount of waste water to be treated and the waste water flow rate to generate a water storage instruction and send it to the corresponding water diversion component.

[0016] By adopting the above technical solution, the corresponding water inlet detection parameters are obtained from the detection sensor at the water inlet end of the target purification facility to determine the sewage flow rate and physical index data, chemical index data and biological index data, so as to calculate the index concentration and index to-be-treated amount of various pollutants in the sewage input into the target purification facility per unit time, so as to know the pollution degree of the sewage input into the target purification facility; the concentration of each index is compared with the corresponding concentration threshold value, and when any index concentration exceeds the corresponding concentration threshold value, the pollutant content exceeding the standard is calculated based on the index concentration and the sewage flow rate, and the pollutant content exceeding the standard is diluted to meet the treatment capacity standard of the purification facility in combination with the detection parameter calculation of the dilution water. The required dilution water flow rate is used to generate a dilution instruction and send it to the corresponding water transfer component to dilute the sewage to prevent the pollutants with too high concentration from being purified to the required standard; the amount to be treated of each indicator is compared with the corresponding threshold value of the amount to be treated. When the amount to be treated of any indicator exceeds the corresponding threshold value of the amount to be treated, the proportion of the overflow content of this type of pollutants to the maximum treatable amount is calculated based on the amount to be treated of the indicator and the threshold value of the amount to be treated, so as to calculate the flow rate of sewage to be temporarily transferred and stored from the sewage input to the target purification facility, so as to generate a water storage instruction and send it to the corresponding water transfer component, thereby reducing the possibility of overloading the water purification facility due to the excessive total amount of pollutants to be treated.

[0017] In a preferred example of the present application, the purification detection parameters of the purification facility are obtained, and the index removal rate of each type of pollutant is calculated in combination with the corresponding water inlet detection parameters. When the index removal rate is less than the corresponding theoretical removal rate lower limit, a corresponding abnormality troubleshooting signal is generated and sent to the inspection terminal, including:

[0018] Obtain the experimental removal rates of various pollutants at different index concentrations under the intact state of the target purification facility, expand the corresponding theoretical removal rate range based on the experimental removal rate, and generate concentration-removal rate relationship information based on each theoretical removal rate range;

[0019] The concentration of each indicator in the water inlet detection parameters of the target purification facility matches the corresponding theoretical removal rate range;

[0020] Obtain the purification test parameters of the target purification facility, calculate the index removal rate of various pollutants in combination with the water inlet test parameters, and compare them with the corresponding theoretical removal rate range;

[0021] When it is detected that the clearance rate of any indicator is less than the corresponding theoretical clearance rate lower limit, a corresponding abnormality troubleshooting signal is generated based on the index clearance rate of the pollutant and sent to the inspection terminal;

[0022] The theoretical clearance rate interval includes a lower limit value and an upper limit value.

[0023] By adopting the above technical scheme, the experimental removal rates of various pollutants under different index concentrations of the target purification facility in good condition are obtained through experiments, the experimental removal rate data are expanded based on the preset reasonable data deviation to obtain the corresponding theoretical removal rate range, and the concentration-clearance rate relationship information is generated based on several theoretical removal rate zones of various pollutants under different index concentrations; the corresponding theoretical removal rate range is matched based on the concentration of each index in the water inlet detection parameters of the target purification facility, so as to facilitate the subsequent judgment of whether the purification effect of the target purification facility meets the standard; the purification detection parameters measured in the target purification facility are obtained, and the index removal rates of various pollutants are calculated in combination with the water inlet detection parameters and compared with the corresponding theoretical removal rate range, so as to judge whether the purification efficiency of the target purification facility is normal; when it is detected that any index removal rate is less than the corresponding theoretical removal rate lower limit, it is considered that the purification function of the target purification facility for this type of pollutant is abnormal, and the corresponding abnormality investigation signal is generated based on the index removal rate of the pollutant and sent to the inspection terminal, so that the inspection personnel can judge the degree of abnormality of the function according to the index removal rate and perform targeted maintenance.

[0024] In a preferred example of the present application: the purification evaluation model has a built-in automatic optimization machine learning algorithm pre-trained with performance indicator parameters; each temporary storage pool is associated with a sequence mark;

[0025] The water inlet detection parameters of each purification facility, the in-tank detection parameters of each temporary storage tank, and the temporary storage water volume are input into the purification evaluation model to generate an abnormal sewage modulation instruction and send it to the corresponding water modulation component, including:

[0026] Determine the target purification facilities one by one, input the water inlet detection parameters of the target purification facilities into the purification evaluation model, and evaluate the surplus removal of various pollutants by the target purification facilities;

[0027] Input the detection parameters and temporary storage water volume of each temporary storage tank into the purification assessment model, set the purification treatment target for the output sewage to meet the standards, and set the priority rules for marking and retrieving abnormal sewage in order. Generate a water source ratio combination plan for inputting abnormal sewage to the target purification facility through automatic optimization of the machine learning algorithm;

[0028] Based on the water source ratio combination plan, abnormal sewage modulation instructions are generated and sent to the corresponding water modulation components.

[0029] By adopting the above technical solution, the purification evaluation model has a built-in automatic optimization machine learning algorithm that has been pre-trained with performance indicator parameters, so that the purification evaluation model can automatically optimize and generate abnormal sewage treatment plans for sewage treatment according to the actual performance indicator parameters of the purification facilities, purification target requirements and preset rules, determine the target purification facilities one by one, and input the water inlet detection parameters of the target purification facilities into the purification evaluation model to evaluate the surplus purification capacity of the target purification facilities for various pollutants based on the content of various pollutants in the sewage input by the target purification facilities and the performance indicator parameters of the target purification facilities, and generate surplus removal volume; the pool detection parameters and temporary storage water volume of each temporary storage pool are input into the purification evaluation model. In the model, the abnormal sewage in the temporary storage tank that has not been purified is known, the purification treatment target of the output sewage meeting the standard is set, and the priority rules for marking the abnormal sewage in order are marked. The water source ratio combination plan for inputting abnormal sewage to the target purification facility is generated by automatically optimizing the machine learning algorithm, so that the abnormal sewage with a higher degree of pollution can be treated first while ensuring that the purification treatment meets the standard, and a small amount of abnormal sewage with a lower degree of pollution can be combined to form a water source ratio combination plan; according to the water source ratio combination plan, an abnormal sewage modulation instruction is generated and sent to the corresponding water modulation component, so that the abnormal sewage can be modulated and mixed by the water modulation component and transmitted to the target purification facility for purification treatment.

[0030] In a preferred example of the present application: after creating the digital twin model based on the design drawings of the sewage treatment plant, the present application further includes:

[0031] Acquire meteorological data of the sewage treatment plant in real time, conduct surveying and evaluation of the digital twin model, and determine the location and area of ​​the opening connecting the target purification facility with the outside world based on the location parameters of the target purification facility and the shape parameters and size parameters of the shielding structure;

[0032] Based on the illumination direction and air flow direction in the meteorological data, the effective illumination area and effective wind blowing area of ​​the target purification facility are determined; the effective illumination area, effective wind blowing area and meteorological data are input into a preset water evaporation analysis model to calculate the water evaporation amount in several unit time periods in the future, and the flow data measured by each sensor is corrected based on the water evaporation amount;

[0033] The meteorological data include light intensity, light direction, air temperature, air humidity, air flow rate, and air flow direction; the effective illumination area refers to the area of ​​the water surface in the target purification facility that is directly illuminated by sunlight; the air flow direction refers to the flow direction parallel to the horizontal plane; the effective wind blowing area refers to the area of ​​the target purification facility that is accessible to wind blowing; the water evaporation analysis model refers to a model used to analyze the water evaporation rate in the purification facility based on meteorological data, and is specifically generated based on a fluid simulation program.

[0034] By adopting the above technical solution, since several purification facilities in the sewage treatment plant are usually in an open-air state and are easily affected by light and wind, resulting in water evaporation, the meteorological data of the sewage treatment plant is obtained in real time to obtain the meteorological conditions near the sewage treatment plant, and the digital twin model is surveyed and evaluated. According to the location parameters of the target purification facility and the shape parameters and size parameters of the shielding structure, the location and area of ​​the opening connecting the target purification facility with the outside world are determined, so as to facilitate the subsequent evaluation of the degree to which the target purification facility is affected by external light and wind; based on the light direction and air flow direction in the meteorological data, the effective light area and effective wind area of ​​the target purification facility are determined, so as to improve the accuracy of the subsequent quantitative evaluation of the impact of light and wind on sewage in the target purification facility; the effective light area, effective wind area and meteorological data are input into the water evaporation model generated according to the fluid simulation program to calculate the water evaporation amount in several unit time periods in the future, so as to facilitate the correction of the flow data measured by each sensor in several unit time periods in the future, and reduce the impact of water evaporation on the sewage volume statistics in each purification facility.

[0035] The second invention objective of this application is achieved by the following technical solution:

[0036] A process adjustment device based on water quality monitoring in sewage treatment, applied to any of the above-mentioned process adjustment methods based on water quality monitoring in sewage treatment, comprises:

[0037] A purification evaluation model generation module, used to create a digital twin model based on the design drawings of the sewage treatment plant, mark performance indicator parameters in the digital twin model, and generate a purification evaluation model based on each of the performance indicator parameters;

[0038] The pollutant excess processing module is used to obtain the inlet detection parameters of the input sewage to calculate the concentration of several indicators and the amount of indicators to be treated of various pollutants. When it is detected that the concentration exceeds the standard or the amount to be treated exceeds the standard, the corresponding dilution instruction or water storage instruction is generated and sent to the corresponding water adjustment component;

[0039] The abnormality troubleshooting module is used to obtain the purification detection parameters of the purification facility, and calculate the index removal rate of various pollutants in combination with the corresponding water inlet detection parameters. When the index removal rate is less than the corresponding theoretical removal rate lower limit, the corresponding abnormality troubleshooting signal is generated and sent to the inspection terminal;

[0040] The abnormal sewage modulation processing module is used to input the water inlet detection parameters of each purification facility, the in-tank detection parameters of each temporary storage tank and the temporary storage water volume into the purification evaluation model to generate an abnormal sewage modulation instruction and send it to the corresponding water modulation component;

[0041] The design drawings record the shape parameters, size parameters, location parameters and performance index parameters of each purification facility in the sewage treatment plant, as well as the location parameters of several detection sensors; the purification facilities include grit chambers, primary sedimentation tanks, biological purification tanks, secondary sedimentation tanks, ozone treatment tanks, and filtration tanks, and each purification facility is provided with a corresponding temporary storage tank; the detection parameters include the sewage flow, physical index data, chemical index data and biological index data of each purification facility; the dilution instruction refers to an instruction for controlling the water transfer component to transfer dilution water to the purification facility; the water storage instruction refers to an instruction for controlling the water transfer component to transfer abnormal sewage to the temporary storage tank; the abnormal sewage modulation instruction refers to an instruction for controlling the water transfer component to modulate the abnormal sewage in different temporary storage tanks and re-input it into the purification facility.

[0042] In a preferred example of the present application: the pollutant exceeding standard processing module includes:

[0043] The pollutant statistics submodule is used to obtain the corresponding water inlet detection parameters from the detection sensor at the water inlet of the target purification facility, and calculate the index concentration and index to-be-treated amount of various pollutants in the sewage input into the target purification facility per unit time based on the sewage flow and physical index data, chemical index data and biological index data;

[0044] The sewage dilution processing submodule is used to compare the concentration of each indicator with the corresponding concentration threshold. When any indicator concentration exceeds the corresponding concentration threshold, the dilution water flow rate is calculated based on the indicator concentration, sewage flow rate and detection parameters of dilution water to generate a dilution instruction and send it to the corresponding water adjustment component;

[0045] The abnormal sewage temporary storage submodule is used to compare the amount of wastewater to be treated of each indicator with the corresponding threshold of the amount of wastewater to be treated. When the amount of wastewater to be treated of any indicator exceeds the corresponding threshold of the amount of wastewater to be treated, the wastewater flow to be stored is calculated based on the amount of wastewater to be treated of the indicator, the threshold of the amount of wastewater to be treated and the sewage flow to generate a water storage instruction and send it to the corresponding water diversion component.

[0046] In a preferred example of the present application: the abnormality troubleshooting module includes:

[0047] The concentration-removal rate relationship analysis submodule is used to obtain the experimental removal rates of various pollutants at different index concentrations under the intact state of the target purification facility, expand the corresponding theoretical removal rate range based on the experimental removal rate, and generate the concentration-removal rate relationship information based on each theoretical removal rate range;

[0048] Theoretical removal rate interval matching submodule, used to match the corresponding theoretical removal rate interval based on the concentration of each indicator in the inlet water detection parameters of the target purification facility;

[0049] The index removal rate comparison submodule is used to obtain the purification detection parameters of the target purification facility, calculate the index removal rate of various pollutants in combination with the water inlet detection parameters, and compare them with the corresponding theoretical removal rate range;

[0050] The abnormal inspection submodule is used to generate a corresponding abnormality troubleshooting signal based on the index clearance rate of the pollutant and send it to the inspection terminal when it is detected that the clearance rate of any indicator is less than the corresponding theoretical clearance lower limit;

[0051] The theoretical clearance rate interval includes a lower limit value and an upper limit value.

[0052] The third invention objective of this application is achieved by the following technical solution:

[0053] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the process adjustment method based on water quality monitoring in sewage treatment when executing the computer program.

[0054] The fourth invention objective of this application is achieved by the following technical solution:

[0055] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the process adjustment method based on water quality monitoring in sewage treatment.

[0056] In summary, the present application includes at least one of the following beneficial technical effects:

[0057] 1. Create a corresponding digital twin model based on the design drawings of the sewage treatment plant and mark the performance index parameters, so as to obtain the water storage structure, water delivery structure, performance index parameters, etc. of each purification facility in the sewage treatment plant, and determine the sewage treatment link to which each detection parameter belongs. Create a purification evaluation model based on the performance index parameters of each purification facility in the sewage treatment plant, so as to evaluate the sewage treatment effect through computer simulation in the future; obtain the inlet detection parameters of the input sewage, so as to calculate several index concentrations and index to-be-treated quantities of various pollutants according to the sewage flow, physical index data, chemical index data, and biological index data in the inlet detection parameters, so as to determine whether the content of various pollutants exceeds the treatment capacity of the purification facility in the sewage treatment plant. When it is detected that the concentration exceeds the standard, the corresponding dilution instruction is generated and sent to the water transfer component to dilute the sewage in the purification facility to a state that meets the treatment capacity of the purification facility. When it is detected that the to-be-treated quantity exceeds the standard, the corresponding water storage instruction is generated and sent to the water transfer component to dilute the sewage in the purification facility to a state that meets the treatment capacity of the purification facility. Abnormal sewage with excessive concentration of some pollutants or excessive total amount of pollutants is transmitted to the temporary storage tank, and it is determined whether the sewage in the purification facility needs to be diluted; the purification detection parameters of the purification facility are obtained, and the removal rate of various pollutants by the current purification facility is calculated in combination with the water inlet detection parameters to calculate the removal rate of each indicator. When the removal rate of any indicator is less than the corresponding theoretical removal rate lower limit, the purification effect of this type of pollutant is abnormal, and the corresponding abnormal troubleshooting signal is generated and sent to the inspection terminal so that the inspection personnel can be informed of the situation and eliminate possible faults in a targeted manner; the water inlet detection parameters of each purification facility, the in-tank detection parameters of each temporary storage tank and the temporary storage water volume are input into the purification evaluation model to generate a treatment plan for abnormal sewage in the temporary storage tank according to the treatment capacity of each purification facility and the current sewage input situation, and then generate abnormal sewage modulation instructions and send them to the corresponding water modulation components to treat the sewage in the temporary storage tank and improve the fit between the sewage treatment process and the sewage treatment load.

[0058] 2. Obtain the corresponding water inlet detection parameters from the detection sensor at the water inlet of the target purification facility to determine the sewage flow rate and physical index data, chemical index data and biological index data, so as to calculate the index concentration and index to-be-treated volume of various pollutants in the sewage input into the target purification facility per unit time, so as to know the pollution degree of the sewage input into the target purification facility; compare the concentration of each index with the corresponding concentration threshold. When any index concentration exceeds the corresponding concentration threshold, calculate the pollutant content exceeding the standard based on the index concentration and sewage flow rate, and calculate the dilution water required to dilute the pollutant content exceeding the standard to meet the treatment capacity standard of the purification facility in combination with the detection parameters of the dilution water. The water flow rate is used to generate a dilution instruction and send it to the corresponding water transfer component to dilute the sewage to prevent the pollutants with too high concentration from being purified to the required standard; the amount of each indicator to be treated is compared with the corresponding threshold of the amount to be treated. When the amount of any indicator to be treated exceeds the corresponding threshold of the amount to be treated, the proportion of the overflow content of this type of pollutants to the maximum treatable amount is calculated based on the amount of the indicator to be treated and the threshold of the amount to be treated, so as to calculate the flow of sewage to be stored that needs to be temporarily transferred from the sewage input to the target purification facility, so as to generate a water storage instruction and send it to the corresponding water transfer component, thereby reducing the possibility of overloading the water purification facility due to the excessive total amount of pollutants to be treated.

[0059] 3. Obtain the experimental removal rates of various pollutants at different index concentrations of the target purification facility in good condition through experiments, expand the experimental removal rate data based on the preset reasonable data deviation, obtain the corresponding theoretical removal rate range, and generate concentration-clearance rate relationship information based on several theoretical removal rate ranges of various pollutants at different index concentrations; match the corresponding theoretical removal rate range based on the concentration of each index in the inlet water detection parameters of the target purification facility, so as to facilitate the subsequent judgment of whether the purification effect of the target purification facility meets the standard; obtain the purification detection parameters measured in the target purification facility, calculate the index removal rate of various pollutants in combination with the inlet water detection parameters and compare them with the corresponding theoretical removal rate range, so as to judge whether the purification efficiency of the target purification facility is normal; when it is detected that any index removal rate is less than the corresponding theoretical removal rate lower limit, it is considered that the purification function of the target purification facility for this type of pollutant is abnormal, and the corresponding abnormality investigation signal is generated based on the index removal rate of the pollutant and sent to the inspection terminal, so that the inspection personnel can judge the degree of abnormality of the function according to the index removal rate and perform targeted maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 It is a flow chart of the process adjustment method based on water quality monitoring in sewage treatment in Example 1 of the present application.

[0061] Figure 2 It is a principle block diagram of a process adjustment device based on water quality monitoring in sewage treatment in Example 2 of the present application.

[0062] Figure 3 It is a schematic diagram of the equipment in Example 3 of the present application. DETAILED DESCRIPTION

[0063] The following is combined with Figures 1 to 3 This application is described in further detail.

[0064] Embodiment 1

[0065] Reference Figure 1 The present application discloses a process adjustment method based on water quality monitoring in sewage treatment, which specifically comprises the following steps:

[0066] S10: Creating a digital twin model based on the design drawings of the sewage treatment plant, marking performance indicator parameters in the digital twin model, and generating a purification evaluation model based on each of the performance indicator parameters.

[0067] In this embodiment, the design drawings record the shape parameters, size parameters, location parameters and performance index parameters of each purification facility in the sewage treatment plant, as well as the location parameters of several detection sensors; the performance index parameters specifically include parameters related to the treatment rate and treatment volume of the purification facilities for various pollutants in the sewage.

[0068] The purification facilities include grit tanks, primary sedimentation tanks, biological purification tanks, secondary sedimentation tanks, ozone treatment tanks, and filtration tanks according to the flow direction in the sewage treatment process. Each purification facility is associated with a corresponding order mark, and the order mark increases in sequence with the sewage treatment link. The order mark of the grit tank is 1, the order mark of the primary sedimentation tank is 2, and so on, the order mark of the filtration tank is 6; each purification facility is equipped with a corresponding temporary storage tank, which is used to store sewage that cannot be treated by the purification facility; each temporary storage tank is also associated with an order mark, and the order mark of the temporary storage tank is consistent with the corresponding purification facility; among them, if the sewage output by each purification facility does not meet the emission standard of that link, it will be re-input into the corresponding temporary storage tank; the digital twin model refers to a three-dimensional model generated in a building information simulation program based on the design drawings of the sewage treatment plant.

[0069] Specifically, a corresponding digital twin model is created based on the design drawings of the sewage treatment plant and the performance indicator parameters are marked in order to obtain the water storage structure, water delivery structure, performance indicator parameters, etc. of each purification facility in the sewage treatment plant, and determine the sewage treatment link to which each detection parameter belongs. A purification evaluation model is created based on the performance indicator parameters of each purification facility in the sewage treatment plant, so that the sewage treatment effect can be subsequently evaluated through computer simulation.

[0070] Among them, after S10: creating a digital twin model based on the design drawings of the sewage treatment plant, it includes:

[0071] S11: Obtain meteorological data of the sewage treatment plant in real time, conduct surveying and evaluation of the digital twin model, and determine the location and area of ​​the opening connecting the target purification facility with the outside world based on the location parameters of the target purification facility and the shape parameters and size parameters of the shielding structure.

[0072] In this embodiment, the meteorological data includes light intensity, light direction, air temperature, air humidity, air flow rate, and air flow direction, wherein the air temperature and air humidity are measured by meteorological sensors near the sewage treatment plant; the air flow direction refers to the flow direction parallel to the horizontal plane.

[0073] Specifically, since several purification facilities in sewage treatment plants are usually in the open air and are easily affected by light and wind, which can cause water evaporation, it is necessary to obtain the meteorological data of the sewage treatment plant in real time to understand the meteorological conditions near the sewage treatment plant, and to conduct surveying and evaluation of the digital twin model. According to the location parameters of the target purification facility and the shape parameters and size parameters of the shielding structure, the location and area of ​​the connecting openings between the target purification facility and the outside world are determined, which is convenient for subsequent evaluation of the degree to which the target purification facility is affected by external light and wind.

[0074] S12: Determine the effective illumination area and effective wind blowing area of ​​the target purification facility based on the illumination direction and air flow direction in the meteorological data.

[0075] In this embodiment, the effective illumination area refers to the area of ​​the water surface in the target purification facility that is directly illuminated by sunlight; the effective wind blowing area refers to the area of ​​the target purification facility that can be exposed to wind.

[0076] Specifically, based on the light direction and air flow direction in the meteorological data, the effective light area and effective wind area of ​​the target purification facility are determined to improve the accuracy of subsequent quantitative evaluation of the impact of light and wind on sewage in the target purification facility.

[0077] S13: Input the effective illumination area, effective wind blowing area and meteorological data into a preset water evaporation analysis model to calculate the water evaporation amount in several unit time periods in the future, and correct the flow data measured by each sensor based on the water evaporation amount.

[0078] In this embodiment, the water evaporation analysis model refers to a model used to analyze the water evaporation rate in the purification facility according to meteorological data, and is specifically generated according to a fluid simulation program.

[0079] Specifically, the effective illumination area, effective wind blowing area and meteorological data are input into the water evaporation model generated according to the fluid simulation program to calculate the water evaporation amount in several unit time periods in the future, so as to correct the flow data measured by each sensor in several unit time periods in the future and reduce the impact of water evaporation on the sewage volume statistics in each purification facility.

[0080] S20: Obtain the inlet detection parameters of the input sewage to calculate several index concentrations and index treatment volumes of various pollutants. When it is detected that the concentration exceeds the standard or the treatment volume exceeds the standard, generate a corresponding dilution instruction or water storage instruction and send it to the corresponding water adjustment component.

[0081] In this embodiment, the detection parameters include the sewage flow rate, physical indicator data, chemical indicator data and biological indicator data of each purification facility; wherein the physical indicator data, chemical indicator data and biological indicator data all include a number of sub-indicator data, and the specific sub-indicator data can be set according to actual needs. The water inflow detection parameter refers to the detection parameter of the sewage flowing into each purification facility; the dilution instruction refers to the instruction for controlling the water transfer component to transfer the dilution water to the purification facility; the water storage instruction refers to the instruction for controlling the water transfer component to transfer abnormal sewage to the temporary storage tank; the water transfer component refers to the component for directional transportation of sewage, and can be specifically provided with a number of valves, pumps, etc. according to actual needs; abnormal sewage refers to sewage that has not been treated yet, or does not meet the standards after treatment.

[0082] Specifically, the water inlet detection parameters of the input sewage are obtained to calculate several indicator concentrations and indicator amounts to be processed of various pollutants according to the sewage flow, physical indicator data, chemical indicator data, and biological indicator data in the water inlet detection parameters, so as to determine whether the content of various pollutants exceeds the processing capacity of the purification facilities in the sewage treatment plant. When it is detected that the concentration exceeds the standard, a corresponding dilution instruction is generated and sent to the water transfer component to dilute the sewage in the purification facility to a state that meets the processing capacity of the purification facility. When it is detected that the amount to be processed exceeds the standard, a corresponding water storage instruction is generated and sent to the water transfer component to transfer abnormal sewage with excessive concentration of some pollutants or excessive total amount of pollutants to a temporary storage tank, and determine whether it is necessary to dilute the sewage in the purification facility.

[0083] Wherein, in step S20, it includes:

[0084] S21: Obtain corresponding water inlet detection parameters from the detection sensor at the water inlet end of the target purification facility, and calculate the index concentration and index amount to be treated of various pollutants in the sewage input into the target purification facility per unit time based on the sewage flow and physical index data, chemical index data and biological index data.

[0085] Specifically, corresponding water inlet detection parameters are obtained from the detection sensor at the water inlet end of the target purification facility to determine the sewage flow rate and physical index data, chemical index data and biological index data, thereby calculating the index concentration and index amount to be treated of various pollutants in the sewage input into the target purification facility per unit time, so as to know the degree of pollution of the sewage input into the target purification facility.

[0086] S22: Compare the concentration of each indicator with the corresponding concentration threshold. When any indicator concentration exceeds the corresponding concentration threshold, the dilution water flow is calculated based on the indicator concentration, sewage flow and dilution water detection parameters to generate a dilution instruction and send it to the corresponding water adjustment component.

[0087] In this embodiment, when calculating the dilution water, it is necessary to ensure that each pollutant does not exceed the treatment capacity of the target purification facility.

[0088] Specifically, the concentration of each indicator is compared with the corresponding concentration threshold. When any indicator concentration exceeds the corresponding concentration threshold, the pollutant content exceeding the standard is calculated based on the indicator concentration and sewage flow rate. The dilution water flow rate required to dilute the pollutant content exceeding the standard to meet the treatment capacity standard of the purification facility is calculated in combination with the detection parameters of the dilution water. A dilution instruction is generated and sent to the corresponding water adjustment component to dilute the sewage to prevent pollutants with too high concentration from being purified to the required standard.

[0089] S23: Compare the amount of wastewater to be processed of each indicator with the corresponding threshold of the amount of wastewater to be processed. When the amount of wastewater to be processed of any indicator exceeds the corresponding threshold of the amount of wastewater to be processed, calculate the wastewater flow to be stored based on the amount of wastewater to be processed of the indicator, the threshold of the amount of wastewater to be processed and the wastewater flow to generate a water storage instruction and send it to the corresponding water diversion component.

[0090] Specifically, the amount of wastewater to be processed of each indicator is compared with the corresponding threshold value of the amount of wastewater to be processed. When the amount of wastewater to be processed of any indicator exceeds the corresponding threshold value of the amount of wastewater to be processed, the proportion of the overflow content of this type of pollutants to the maximum treatable amount is calculated based on the amount of wastewater to be processed of the indicator and the threshold value of the amount of wastewater to be processed, so as to calculate the flow rate of wastewater to be stored that needs to be temporarily transferred from the wastewater input to the target purification facility, so as to generate a water storage instruction and send it to the corresponding water transfer component, thereby reducing the possibility of overloading the water purification facility due to the excessive total amount of pollutants to be processed.

[0091] S30: Acquire the purification detection parameters of the purification facility, and calculate the index removal rate of each type of pollutant in combination with the corresponding water inlet detection parameters. When the index removal rate is less than the corresponding theoretical removal rate lower limit, generate a corresponding abnormality troubleshooting signal and send it to the inspection terminal.

[0092] In this embodiment, the purification detection parameter refers to a detection parameter measured by a detection sensor disposed at a specific position in the purification facility.

[0093] Specifically, the purification detection parameters of the purification facility are obtained, and the removal rate of the current purification facility for various pollutants is calculated in combination with the water inlet detection parameters to calculate the removal rate of each indicator. When the removal rate of any indicator is less than the corresponding theoretical removal rate lower limit, the purification effect of this type of pollutants is abnormal, and a corresponding abnormal troubleshooting signal is generated and sent to the inspection terminal so that the inspection personnel can be aware of the situation and eliminate possible faults in a targeted manner.

[0094] Wherein, in step S30, it includes:

[0095] S31: Obtain the experimental removal rates of various pollutants at different index concentrations under the intact state of the target purification facilities, expand the corresponding theoretical removal rate ranges based on the experimental removal rates, and generate concentration-clearance rate relationship information based on each theoretical removal rate range.

[0096] In this embodiment, the intact state means that the purification facility is in a state of just completing maintenance; the theoretical clearance rate range includes a lower limit value and an upper limit value. Preferably, the lower limit value of the theoretical clearance rate is 90% of the corresponding experimental clearance rate, and the upper limit value of the theoretical clearance rate is 110% of the corresponding experimental clearance rate.

[0097] Specifically, the experimental removal rates of various pollutants under different index concentrations of the target purification facilities in an intact state are obtained through experiments. The experimental removal rate data are expanded based on the preset reasonable data deviation to obtain the corresponding theoretical removal rate range. The concentration-clearance rate relationship information is generated based on several theoretical removal rate zones of various pollutants under different index concentrations.

[0098] S32: Matching the corresponding theoretical removal rate interval based on the concentration of each indicator in the inlet water detection parameters of the target purification facility.

[0099] Specifically, the concentration of each indicator in the water inlet detection parameters of the target purification facility is matched with the corresponding theoretical removal rate interval, which facilitates the subsequent judgment of whether the purification effect of the target purification facility meets the standard.

[0100] S33: Acquire the purification detection parameters of the target purification facility, calculate the index removal rate of each type of pollutant in combination with the water inlet detection parameters, and compare them with the corresponding theoretical removal rate range.

[0101] Specifically, the purification detection parameters measured in the target purification facility are obtained, and the index removal rates of various pollutants are calculated in combination with the water inlet detection parameters and compared with the corresponding theoretical removal rate ranges to determine whether the purification efficiency of the target purification facility is normal.

[0102] S34: When it is detected that the clearance rate of any indicator is less than the corresponding theoretical clearance lower limit, a corresponding abnormality troubleshooting signal is generated based on the clearance rate of the pollutant and sent to the inspection terminal.

[0103] In this embodiment, the inspection terminal refers to a terminal device used by inspection personnel.

[0104] Specifically, when it is detected that the clearance rate of any indicator is less than the corresponding theoretical clearance rate lower limit, it is considered that the target purification facility has an abnormality in its purification function for this type of pollutants. Based on the indicator clearance rate of the pollutant, a corresponding abnormality troubleshooting signal is generated and sent to the inspection terminal so that the inspection personnel can judge the degree of abnormality of the function according to the indicator clearance rate and perform targeted maintenance.

[0105] S40: Input the water inlet detection parameters of each purification facility, the in-tank detection parameters of each temporary storage tank and the temporary storage water volume into the purification evaluation model to generate an abnormal sewage modulation instruction and send it to the corresponding water modulation component.

[0106] In this embodiment, the abnormal sewage modulation instruction refers to an instruction for controlling the water modulation component to modulate the abnormal sewage in different temporary storage tanks and re-input it into the purification facility; the in-tank detection parameter refers to the detection parameter measured by the detection sensor in the temporary storage tank.

[0107] Specifically, the water inlet detection parameters of each purification facility, the in-tank detection parameters of each temporary storage tank and the temporary storage water volume are input into the purification evaluation model to generate a treatment plan for abnormal sewage in the temporary storage tank according to the treatment capacity of each purification facility and the current sewage input situation, and then generate abnormal sewage modulation instructions and send them to the corresponding water modulation components, so as to treat the sewage in the temporary storage tank and improve the fit between the sewage treatment process and the sewage treatment load.

[0108] Wherein, in step S40, it includes:

[0109] S41: Determine the target purification facilities one by one, input the water inlet detection parameters of the target purification facilities into the purification evaluation model, and evaluate the surplus removal amount of various pollutants by the target purification facilities.

[0110] In this embodiment, the purification evaluation model has a built-in automatic optimization machine learning algorithm pre-trained with performance indicator parameters; the surplus removal volume refers to the data on the remaining removable volume of each type of pollutant by the target purification equipment.

[0111] Specifically, the purification evaluation model has a built-in automatic optimization machine learning algorithm that has been pre-trained with performance indicator parameters, so that the purification evaluation model can automatically optimize and generate abnormal sewage treatment plans for sewage treatment according to the actual performance indicator parameters of the purification facilities, purification target requirements and preset rules, determine the target purification facilities one by one, and input the inlet detection parameters of the target purification facilities into the purification evaluation model to evaluate the surplus purification capacity of the target purification facilities for various pollutants based on the content of various pollutants in the sewage input by the target purification facilities and the performance indicator parameters of the target purification facilities, and generate surplus removal volume.

[0112] S42: Input the detection parameters and temporary storage water volume of each temporary storage tank into the purification assessment model, set the purification treatment target for the output sewage to meet the standards, and set the priority rules for marking and retrieving abnormal sewage in order, and generate a water source ratio combination plan for inputting abnormal sewage to the target purification facility through automatic optimization of the machine learning algorithm.

[0113] Specifically, the detection parameters and temporary storage water volume of each temporary storage tank are input into the purification evaluation model to obtain the abnormal sewage in the temporary storage tank that has not been purified yet, set the purification treatment target for the output sewage to meet the standard, and set the priority rules for marking the abnormal sewage in order. Through the automatic optimization of the machine learning algorithm, a water source ratio combination plan for inputting abnormal sewage into the target purification facility is generated, so that under the premise of ensuring that the purification treatment meets the standard, the abnormal sewage with a higher degree of pollution is treated first, and a small amount of abnormal sewage with a lower degree of pollution is combined to form a water source ratio combination plan.

[0114] S43: Generate abnormal sewage modulation instructions based on the water source ratio combination plan and send them to the corresponding water modulation components.

[0115] Specifically, an abnormal sewage modulation instruction is generated according to the water source ratio combination scheme and sent to the corresponding water modulation component, so that the abnormal sewage can be modulated and mixed by the water modulation component and transmitted to the target purification facility for purification treatment.

[0116] It should be understood that the serial numbers of the steps in the above embodiments do not imply a sequence of execution. The execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0117] Embodiment 2

[0118] A process adjustment device based on water quality monitoring in sewage treatment, the process adjustment device based on water quality monitoring in sewage treatment corresponds to the process adjustment method based on water quality monitoring in sewage treatment in the above embodiment.

[0119] like Figure 2 As shown, the process adjustment device based on water quality monitoring in sewage treatment includes a purification evaluation model generation module, a pollutant exceeding standard processing module, an abnormality investigation module and an abnormal sewage modulation processing module. The detailed description of each functional module is as follows:

[0120] A purification evaluation model generation module, used to create a digital twin model based on the design drawings of the sewage treatment plant, mark performance indicator parameters in the digital twin model, and generate a purification evaluation model based on each of the performance indicator parameters;

[0121] The pollutant excess processing module is used to obtain the inlet detection parameters of the input sewage to calculate the concentration of several indicators and the amount of indicators to be treated of various pollutants. When it is detected that the concentration exceeds the standard or the amount to be treated exceeds the standard, the corresponding dilution instruction or water storage instruction is generated and sent to the corresponding water adjustment component;

[0122] The abnormality troubleshooting module is used to obtain the purification detection parameters of the purification facility, and calculate the index removal rate of various pollutants in combination with the corresponding water inlet detection parameters. When the index removal rate is less than the corresponding theoretical removal rate lower limit, the corresponding abnormality troubleshooting signal is generated and sent to the inspection terminal;

[0123] The abnormal sewage modulation and processing module is used to input the water inlet detection parameters of each purification facility, the in-tank detection parameters of each temporary storage tank and the temporary storage water volume into the purification evaluation model to generate abnormal sewage modulation instructions and send them to the corresponding water modulation components.

[0124] Among them, the pollutant excess processing module also includes:

[0125] The pollutant statistics submodule is used to obtain the corresponding water inlet detection parameters from the detection sensor at the water inlet of the target purification facility, and calculate the index concentration and index to-be-treated amount of various pollutants in the sewage input into the target purification facility per unit time based on the sewage flow and physical index data, chemical index data and biological index data;

[0126] The sewage dilution processing submodule is used to compare the concentration of each indicator with the corresponding concentration threshold. When any indicator concentration exceeds the corresponding concentration threshold, the dilution water flow rate is calculated based on the indicator concentration, sewage flow rate and detection parameters of dilution water to generate a dilution instruction and send it to the corresponding water adjustment component;

[0127] The abnormal sewage temporary storage submodule is used to compare the amount of wastewater to be treated of each indicator with the corresponding threshold of the amount of wastewater to be treated. When the amount of wastewater to be treated of any indicator exceeds the corresponding threshold of the amount of wastewater to be treated, the wastewater flow to be stored is calculated based on the amount of wastewater to be treated of the indicator, the threshold of the amount of wastewater to be treated and the sewage flow to generate a water storage instruction and send it to the corresponding water diversion component.

[0128] The exception troubleshooting module also includes:

[0129] The concentration-removal rate relationship analysis submodule is used to obtain the experimental removal rates of various pollutants at different index concentrations under the intact state of the target purification facility, expand the corresponding theoretical removal rate range based on the experimental removal rate, and generate the concentration-removal rate relationship information based on each theoretical removal rate range;

[0130] Theoretical removal rate interval matching submodule, used to match the corresponding theoretical removal rate interval based on the concentration of each indicator in the inlet water detection parameters of the target purification facility;

[0131] The index removal rate comparison submodule is used to obtain the purification detection parameters of the target purification facility, calculate the index removal rate of various pollutants in combination with the water inlet detection parameters, and compare them with the corresponding theoretical removal rate range;

[0132] The abnormal inspection submodule is used to generate a corresponding abnormal investigation signal based on the index clearance rate of the pollutant and send it to the inspection terminal when it is detected that the clearance rate of any indicator is less than the corresponding theoretical clearance lower limit.

[0133] Among them, the abnormal sewage modulation and treatment module also includes:

[0134] The surplus removal assessment submodule is used to determine the target purification facilities one by one, input the water inlet detection parameters of the target purification facilities into the purification assessment model, and evaluate the surplus removal of various pollutants by the target purification facilities;

[0135] The water source ratio combination analysis submodule is used to input the detection parameters and temporary storage water volume of each temporary storage tank into the purification evaluation model, set the purification treatment target for the output sewage to meet the standards, and set the priority rules for marking and retrieving abnormal sewage in order, and generate a water source ratio combination plan for inputting abnormal sewage to the target purification facility through automatic optimization of the machine learning algorithm;

[0136] The abnormal sewage modulation instruction generation submodule is used to generate abnormal sewage modulation instructions based on the water source ratio combination scheme and send them to the corresponding water modulation components.

[0137] Among them, the purification assessment model generation module also includes:

[0138] The connection opening assessment submodule is used to obtain the meteorological data of the sewage treatment plant in real time, conduct mapping and assessment on the digital twin model, and determine the location and area of ​​the connection opening between the target purification facility and the outside world according to the location parameters of the target purification facility and the shape parameters and size parameters of the shielding structure;

[0139] A light and wind impact area assessment submodule is used to determine the effective light area and effective wind area of ​​the target purification facility based on the light direction and air flow direction in the meteorological data;

[0140] The flow data correction submodule is used to input the effective illumination area, effective wind blowing area and meteorological data into a preset water evaporation analysis model to calculate the water evaporation amount in several unit time periods in the future, and correct the flow data measured by each sensor based on the water evaporation amount.

[0141] For the specific limitations of the process adjustment device based on water quality monitoring in sewage treatment, please refer to the limitations of the process adjustment method based on water quality monitoring in sewage treatment mentioned above, which will not be repeated here; each module in the above-mentioned process adjustment device based on water quality monitoring in sewage treatment can be fully or partially implemented by software, hardware and a combination thereof; each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.

[0142] Embodiment 3

[0143] A computer device, which may be a server, may have an internal structure as shown in Figure 3 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store design drawings, digital twin models, performance index parameters, purification evaluation models, water inlet detection parameters, index concentrations, index to be processed, dilution instructions, water storage instructions, purification detection parameters, water inlet detection parameters, index clearance rate, theoretical clearance rate, abnormal troubleshooting signals, pool detection parameters, temporary storage water volume, abnormal sewage modulation instructions and other data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a process adjustment method based on water quality monitoring in sewage treatment is implemented.

[0144] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

[0145] S10: creating a digital twin model based on the design drawings of the sewage treatment plant, marking performance indicator parameters in the digital twin model, and generating a purification evaluation model based on each of the performance indicator parameters;

[0146] S20: Obtaining the inlet detection parameters of the input sewage to calculate the concentration of several indicators and the amount of indicators to be treated of various pollutants. When it is detected that the concentration exceeds the standard or the amount to be treated exceeds the standard, a corresponding dilution instruction or water storage instruction is generated and sent to the corresponding water transfer component;

[0147] S30: obtaining purification detection parameters of the purification facility, and calculating the index removal rate of various pollutants in combination with the corresponding water inlet detection parameters. When the index removal rate is less than the corresponding theoretical removal rate lower limit, a corresponding abnormality troubleshooting signal is generated and sent to the inspection terminal;

[0148] S40: Input the water inlet detection parameters of each purification facility, the in-tank detection parameters of each temporary storage tank and the temporary storage water volume into the purification evaluation model to generate an abnormal sewage modulation instruction and send it to the corresponding water modulation component.

[0149] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0150] S10: creating a digital twin model based on the design drawings of the sewage treatment plant, marking performance indicator parameters in the digital twin model, and generating a purification evaluation model based on each of the performance indicator parameters;

[0151] S20: Obtaining the inlet detection parameters of the input sewage to calculate the concentration of several indicators and the amount of indicators to be treated of various pollutants. When it is detected that the concentration exceeds the standard or the amount to be treated exceeds the standard, a corresponding dilution instruction or water storage instruction is generated and sent to the corresponding water transfer component;

[0152] S30: obtaining purification detection parameters of the purification facility, and calculating the index removal rate of various pollutants in combination with the corresponding water inlet detection parameters. When the index removal rate is less than the corresponding theoretical removal rate lower limit, a corresponding abnormality troubleshooting signal is generated and sent to the inspection terminal;

[0153] S40: Input the water inlet detection parameters of each purification facility, the in-tank detection parameters of each temporary storage tank and the temporary storage water volume into the purification evaluation model to generate an abnormal sewage modulation instruction and send it to the corresponding water modulation component.

[0154] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink), DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0155] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0156] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments may still be modified, or some of the features thereof may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A process adjustment method based on water quality monitoring in sewage treatment, characterized in that: include: Creating a digital twin model based on the design drawings of the sewage treatment plant, marking performance indicator parameters in the digital twin model, and generating a purification evaluation model based on each of the performance indicator parameters; Obtain the inlet detection parameters of the input sewage to calculate the concentration of several indicators and the amount of indicators to be treated of various pollutants. When it is detected that the concentration exceeds the standard or the amount to be treated exceeds the standard, generate the corresponding dilution instruction or water storage instruction and send it to the corresponding water transfer component; Obtain the purification detection parameters of the purification facility, and calculate the index removal rate of various pollutants in combination with the corresponding water inlet detection parameters. When the index removal rate is less than the corresponding theoretical removal rate lower limit, generate the corresponding abnormality troubleshooting signal and send it to the inspection terminal; Input the water inlet detection parameters of each purification facility, the in-tank detection parameters of each temporary storage tank, and the temporary storage water volume into the purification evaluation model to generate abnormal sewage modulation instructions and send them to the corresponding water modulation components; The design drawings record the shape parameters, size parameters, location parameters and performance index parameters of each purification facility in the sewage treatment plant, as well as the location parameters of several detection sensors; the purification facilities include a grit chamber, a primary sedimentation tank, a biological purification tank, a secondary sedimentation tank, an ozone treatment tank, and a filtration tank, and each purification facility is provided with a corresponding temporary storage tank; the detection parameters include the sewage flow, physical index data, chemical index data and biological index data of each purification facility; the dilution instruction refers to an instruction for controlling the water transfer component to transfer the dilution water to the purification facility; the water storage instruction refers to an instruction for controlling the water transfer component to transfer abnormal sewage to the temporary storage tank; the abnormal sewage modulation instruction refers to an instruction for controlling the water transfer component to modulate the abnormal sewage in different temporary storage tanks and re-input it into the purification facility; The method of obtaining the inlet detection parameters of the input sewage to calculate the concentration of several indicators and the amount of indicators to be treated of various pollutants, and generating corresponding dilution instructions or water storage instructions and sending them to the corresponding water transfer components when the concentration exceeds the standard or the amount to be treated exceeds the standard, includes: Obtain corresponding water inlet detection parameters from the detection sensor at the water inlet of the target purification facility, and calculate the index concentration and index to-be-treated amount of various pollutants in the sewage input into the target purification facility per unit time based on the sewage flow and physical index data, chemical index data and biological index data; Compare the concentration of each indicator with the corresponding concentration threshold. When any indicator concentration exceeds the corresponding concentration threshold, calculate the dilution water flow rate based on the indicator concentration, sewage flow rate and dilution water detection parameters to generate a dilution instruction and send it to the corresponding water transfer component; The amount of waste water to be treated of each indicator is compared with the corresponding threshold value of the amount of waste water to be treated. When the amount of waste water to be treated of any indicator exceeds the corresponding threshold value of the amount of waste water to be treated, the flow rate of waste water to be stored is calculated based on the amount of waste water to be treated of this indicator, the threshold value of the amount of waste water to be treated and the waste water flow rate to generate a water storage instruction and send it to the corresponding water diversion component.

2. The process adjustment method based on water quality monitoring in sewage treatment according to claim 1 is characterized in that: The purification detection parameters of the purification facility are obtained, and the index removal rate of each type of pollutant is calculated in combination with the corresponding water inlet detection parameters. When the index removal rate is less than the corresponding theoretical removal rate lower limit, a corresponding abnormality troubleshooting signal is generated and sent to the inspection terminal, including: Obtain the experimental removal rates of various pollutants at different index concentrations under the intact state of the target purification facility, expand the corresponding theoretical removal rate range based on the experimental removal rate, and generate concentration-removal rate relationship information based on each theoretical removal rate range; The concentration of each indicator in the water inlet detection parameters of the target purification facility matches the corresponding theoretical removal rate range; Obtain the purification test parameters of the target purification facility, calculate the index removal rate of various pollutants in combination with the water inlet test parameters, and compare them with the corresponding theoretical removal rate range; When it is detected that the clearance rate of any indicator is less than the corresponding theoretical clearance rate lower limit, a corresponding abnormality troubleshooting signal is generated based on the index clearance rate of the pollutant and sent to the inspection terminal; The theoretical clearance rate interval includes a lower limit value and an upper limit value.

3. The process adjustment method based on water quality monitoring in sewage treatment according to claim 1 is characterized in that: The purification evaluation model has a built-in automatic optimization machine learning algorithm pre-trained with performance indicator parameters; each temporary storage pool is associated with a sequence mark; The water inlet detection parameters of each purification facility, the in-tank detection parameters of each temporary storage tank, and the temporary storage water volume are input into the purification evaluation model to generate an abnormal sewage modulation instruction and send it to the corresponding water modulation component, including: Determine the target purification facilities one by one, input the water inlet detection parameters of the target purification facilities into the purification evaluation model, and evaluate the surplus removal of various pollutants by the target purification facilities; Input the detection parameters and temporary storage water volume of each temporary storage tank into the purification assessment model, set the purification treatment target for the output sewage to meet the standards, and set the priority rules for marking and retrieving abnormal sewage in order. Generate a water source ratio combination plan for inputting abnormal sewage to the target purification facility through automatic optimization of the machine learning algorithm; Based on the water source ratio combination plan, abnormal sewage modulation instructions are generated and sent to the corresponding water modulation components.

4. The process adjustment method based on water quality monitoring in sewage treatment according to any one of claims 1 to 3, characterized in that: After creating the digital twin model based on the design drawings of the sewage treatment plant, the following steps are also included: Acquire meteorological data of the sewage treatment plant in real time, conduct surveying and evaluation of the digital twin model, and determine the location and area of ​​the opening connecting the target purification facility with the outside world based on the location parameters of the target purification facility and the shape parameters and size parameters of the shielding structure; Based on the illumination direction and air flow direction in the meteorological data, determining the effective illumination area and effective wind blowing area of ​​the target purification facility; The effective illumination area, the effective wind blowing area and the meteorological data are input into a preset water evaporation analysis model to calculate the water evaporation amount in a number of unit time periods in the future, and the flow data measured by each sensor is corrected based on the water evaporation amount; The meteorological data include light intensity, light direction, air temperature, air humidity, air flow rate, and air flow direction; the effective illumination area refers to the area of ​​the water surface in the target purification facility that is directly illuminated by sunlight; the air flow direction refers to the flow direction parallel to the horizontal plane; the effective wind blowing area refers to the area of ​​the target purification facility that is accessible to wind blowing; the water evaporation analysis model refers to a model used to analyze the water evaporation rate in the purification facility based on meteorological data, and is specifically generated based on a fluid simulation program.

5. A process adjustment device based on water quality monitoring in sewage treatment, characterized in that: The process adjustment method based on water quality monitoring in sewage treatment as applied to any one of claims 1 to 4 comprises: A purification evaluation model generation module, used to create a digital twin model based on the design drawings of the sewage treatment plant, mark performance indicator parameters in the digital twin model, and generate a purification evaluation model based on each of the performance indicator parameters; The pollutant excess processing module is used to obtain the inlet detection parameters of the input sewage to calculate the concentration of several indicators and the amount of indicators to be treated of various pollutants. When it is detected that the concentration exceeds the standard or the amount to be treated exceeds the standard, the corresponding dilution instruction or water storage instruction is generated and sent to the corresponding water adjustment component; The abnormality troubleshooting module is used to obtain the purification detection parameters of the purification facility, and calculate the index removal rate of various pollutants in combination with the corresponding water inlet detection parameters. When the index removal rate is less than the corresponding theoretical removal rate lower limit, the corresponding abnormality troubleshooting signal is generated and sent to the inspection terminal; The abnormal sewage modulation processing module is used to input the water inlet detection parameters of each purification facility, the in-tank detection parameters of each temporary storage tank and the temporary storage water volume into the purification evaluation model to generate an abnormal sewage modulation instruction and send it to the corresponding water modulation component; The design drawings record the shape parameters, size parameters, location parameters and performance index parameters of each purification facility in the sewage treatment plant, as well as the location parameters of several detection sensors; the purification facilities include a grit chamber, a primary sedimentation tank, a biological purification tank, a secondary sedimentation tank, an ozone treatment tank, and a filtration tank, and each purification facility is provided with a corresponding temporary storage tank; the detection parameters include the sewage flow, physical index data, chemical index data and biological index data of each purification facility; the dilution instruction refers to an instruction for controlling the water transfer component to transfer the dilution water to the purification facility; the water storage instruction refers to an instruction for controlling the water transfer component to transfer abnormal sewage to the temporary storage tank; the abnormal sewage modulation instruction refers to an instruction for controlling the water transfer component to modulate the abnormal sewage in different temporary storage tanks and re-input it into the purification facility; Wherein, the pollutant exceeding standard processing module comprises: The pollutant statistics submodule is used to obtain the corresponding water inlet detection parameters from the detection sensor at the water inlet of the target purification facility, and calculate the index concentration and index to-be-treated amount of various pollutants in the sewage input into the target purification facility per unit time based on the sewage flow and physical index data, chemical index data and biological index data; The sewage dilution processing submodule is used to compare the concentration of each indicator with the corresponding concentration threshold. When any indicator concentration exceeds the corresponding concentration threshold, the dilution water flow rate is calculated based on the indicator concentration, sewage flow rate and detection parameters of dilution water to generate a dilution instruction and send it to the corresponding water adjustment component; The abnormal sewage temporary storage submodule is used to compare the amount of wastewater to be treated of each indicator with the corresponding threshold of the amount of wastewater to be treated. When the amount of wastewater to be treated of any indicator exceeds the corresponding threshold of the amount of wastewater to be treated, the wastewater flow to be stored is calculated based on the amount of wastewater to be treated of the indicator, the threshold of the amount of wastewater to be treated and the sewage flow to generate a water storage instruction and send it to the corresponding water diversion component.

6. A process adjustment device based on water quality monitoring in sewage treatment according to claim 5, characterized in that: The abnormality troubleshooting module includes: The concentration-removal rate relationship analysis submodule is used to obtain the experimental removal rates of various pollutants at different index concentrations under the intact state of the target purification facility, expand the corresponding theoretical removal rate range based on the experimental removal rate, and generate the concentration-removal rate relationship information based on each theoretical removal rate range; Theoretical removal rate interval matching submodule, used to match the corresponding theoretical removal rate interval based on the concentration of each indicator in the inlet water detection parameters of the target purification facility; The index removal rate comparison submodule is used to obtain the purification detection parameters of the target purification facility, calculate the index removal rate of various pollutants in combination with the water inlet detection parameters, and compare them with the corresponding theoretical removal rate range; The abnormal inspection submodule is used to generate a corresponding abnormality troubleshooting signal based on the index clearance rate of the pollutant and send it to the inspection terminal when it is detected that the clearance rate of any indicator is less than the corresponding theoretical clearance lower limit; The theoretical clearance rate interval includes a lower limit value and an upper limit value.

7. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the process adjustment method based on water quality monitoring in sewage treatment as described in any one of claims 1 to 4 are implemented.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the process adjustment method based on water quality monitoring in sewage treatment as described in any one of claims 1 to 4 are implemented.

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