Intelligent medication control system based on oily water components

Abstract

The invention relates to the technical field of intelligent medication control, and particularly discloses an intelligent medication control system based on oily water components. The system is provided with an oily water medication scheme comparison module, a medicament putting control equipment state judgment module, an oily water medication process judgment module, an oily water medication dosage adjustment scheme comparison module and an oily water treatment result judgment module. The problems of low treatment efficiency, insufficient dynamic treatment capacity and complex operation in the prior art are solved, a proper agent feeding scheme is formulated in a targeted mode, it is ensured that the treatment process is scientific and reasonable, the agent feeding process is analyzed in real time, timeliness and accuracy of agent feeding are ensured, the optimal use effect of agents in the oily water treatment process can be maintained, and the economic benefit is increased. Problems existing in the dosing process are found and corrected in time, effectiveness is ensured, the disqualification emission risk is reduced, and therefore a more flexible processing strategy is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent medication control, and in particular to an intelligent medication control system based on oily wastewater components. Background Art

[0002] The accelerated industrialization process has led to the discharge of a large amount of oily wastewater into natural water bodies, seriously polluting the water environment. Oily wastewater contains a large amount of harmful substances, such as petroleum hydrocarbons, suspended particles, heavy metals, etc., which pose a threat to the ecosystem. Enterprises need to adopt effective wastewater treatment technology to ensure that the discharged wastewater meets environmental standards. The use of intelligent drug control systems can effectively treat these complex wastewaters and improve the treatment effect.

[0003] Nowadays, there are still some shortcomings in the research on an intelligent drug control system based on the composition of oily wastewater. Specifically, the traditional oily wastewater treatment method has the problems of low treatment efficiency, insufficient dynamic treatment capacity, and complex operation. A single treatment method is difficult to cope with the complex changes in the composition of oily wastewater, and the treatment effect is unstable. Traditional methods are difficult to respond to these changes quickly. Complex operating procedures and equipment maintenance increase the overall operating costs. After a single treatment, the water quality may still not meet the standards, and multiple treatments or a combination of multiple treatment methods are required, which increases the complexity. In addition, there are fluctuations in the treatment effect of a single method. Substandard emissions will cause long-term harm to the aquatic ecosystem. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides an intelligent medication control system based on oily wastewater components, which can effectively solve the problems involved in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent medication control system based on oily wastewater composition, including an oily wastewater medication scheme comparison module, a medication delivery control equipment status judgment module, an oily wastewater medication addition process judgment module, an oily wastewater medication dosage adjustment scheme comparison module and an oily wastewater treatment result judgment module, wherein: the oily wastewater medication scheme comparison module analyzes the initial composition and water quality of the oily wastewater and obtains the oily wastewater medication scheme by comparison; the medication delivery control equipment status judgment module analyzes the status of the medication delivery control equipment and determines whether the status of the medication delivery control equipment is qualified; obtains a medication delivery control equipment status data set, and based on the obtained medication delivery control equipment status data, determines whether the medication delivery control equipment status is qualified; Prepare a state data set, comprehensively analyze and obtain a state characteristic value of the drug delivery control device, and use the state characteristic value of the drug delivery control device as an analysis basis for judging whether the state of the drug delivery control device is qualified; compare the state characteristic value of the drug delivery control device with the state definition characteristic value of the drug delivery control device stored in the database; if the state characteristic value of the drug delivery control device is higher than or equal to the state definition characteristic value of the drug delivery control device, then the state of the drug delivery control device corresponding to the state characteristic value of the drug delivery control device is qualified; if the state characteristic value of the drug delivery control device is lower than the state definition characteristic value of the drug delivery control device, then the state of the drug delivery control device corresponding to the state characteristic value of the drug delivery control device is unqualified;

[0006] The specific analysis process of the state characteristic value of the drug delivery control equipment is as follows:

[0007]

[0008] In the formula, α is the state characteristic value of the agent delivery control equipment, cl is the agent reserve of the agent delivery control equipment, hn is the energy consumption per unit time of the agent delivery control equipment, xy is the delivery response time of the agent delivery control equipment, σ1 is the compensation factor of the set agent reserve of the agent delivery control equipment, σ2 is the compensation factor of the set energy consumption per unit time of the agent delivery control equipment, and σ3 is the compensation factor of the set delivery response time of the agent delivery control equipment;

[0009] The oily wastewater dosing process judgment module, based on the oily wastewater dosing scheme obtained by comparison, adds medicine to the oily wastewater through a qualified drug delivery control device, analyzes the oily wastewater dosing process, and determines whether the oily wastewater dosing process is qualified; the oily wastewater dosing dosage adjustment scheme comparison module analyzes the real-time treatment monitoring effect of the oily wastewater with a qualified dosing process, and obtains the oily wastewater dosing dosage adjustment scheme by comparison; the oily wastewater treatment result judgment module analyzes the discharge components of the treated oily wastewater after the oily wastewater dosage is adjusted, and determines whether the oily wastewater treatment result is qualified.

[0010] As a further plan, the initial composition and water quality of the oily wastewater are analyzed, and the medication plan for the oily wastewater is obtained by comparison. The specific analysis process includes: obtaining the initial composition and water quality data set of the oily wastewater, which specifically includes the initial oil content of the oily wastewater, the initial chemical oxygen demand of the oily wastewater, the initial biochemical oxygen demand of the oily wastewater, the initial pH value of the oily wastewater, and the initial suspended impurity content of the oily wastewater; based on the obtained initial composition and water quality data set of the oily wastewater, a comprehensive analysis is performed to obtain the initial composition and water quality assessment value of the oily wastewater, and the initial composition and water quality assessment value of the oily wastewater are used as the analysis basis for comparing the medication plan for the oily wastewater; the initial composition and water quality assessment value of the oily wastewater are compared with the medication plan for the oily wastewater corresponding to each initial composition and water quality assessment value of the oily wastewater stored in the database, to obtain the medication plan for the oily wastewater corresponding to the initial composition and water quality assessment value of the oily wastewater.

[0011] As a further solution, the initial composition and water quality assessment value of oily wastewater, the specific analysis process is as follows:

[0012]

[0013] Wherein, δ is the initial composition and water quality assessment value of oily wastewater, yh is the initial oil content of oily wastewater, ch is the initial chemical oxygen demand of oily wastewater, cs is the initial biochemical oxygen demand of oily wastewater, PH is the initial pH value of oily wastewater, xz is the initial suspended impurity content of oily wastewater, μ1 is the compensation factor for the set initial oil content of oily wastewater, μ2 is the compensation factor for the set initial chemical oxygen demand of oily wastewater, μ3 is the compensation factor for the set initial biochemical oxygen demand of oily wastewater, μ4 is the compensation factor for the set initial pH value of oily wastewater, and μ5 is the compensation factor for the set initial suspended impurity content of oily wastewater.

[0014] As a further solution, the status data set of the medicine delivery control equipment specifically includes the medicine reserves of the medicine delivery control equipment, the energy consumption per unit time of the medicine delivery control equipment, and the delivery response time of the medicine delivery control equipment.

[0015] As a further solution, the oily wastewater dosing process is analyzed to determine whether the oily wastewater dosing process is qualified. The specific analysis process is: obtain the oily wastewater dosing process data set, and based on the obtained oily wastewater dosing process data set, obtain the oily wastewater dosing process evaluation value through comprehensive analysis, and use the oily wastewater dosing process evaluation value as the analysis basis for determining whether the oily wastewater dosing process is qualified; compare the oily wastewater dosing process evaluation value with the oily wastewater dosing process reference evaluation value stored in the database; if the oily wastewater dosing process evaluation value is higher than or equal to the oily wastewater dosing process reference evaluation value, then the oily wastewater dosing process corresponding to the oily wastewater dosing process evaluation value is qualified; if the oily wastewater dosing process evaluation value is lower than the oily wastewater dosing process reference evaluation value, then the oily wastewater dosing process corresponding to the oily wastewater dosing process evaluation value is unqualified.

[0016] As a further solution, the oily wastewater dosing process data set specifically includes the absolute value of the difference between the oily wastewater dosing rate and the reference dosing rate, the absolute value of the difference between the oily wastewater dosing stirring rate and the reference stirring rate, and the absolute value of the difference between the oily wastewater dosing agent concentration and the reference agent concentration.

[0017] As a further solution, the monitoring effect of real-time treatment of oily wastewater is analyzed, and the dosage adjustment plan of oily wastewater is obtained by comparison. The specific analysis process is: obtain the data set of real-time treatment monitoring effect of oily wastewater, which specifically includes the real-time suspended impurity content of real-time treatment of oily wastewater, the real-time chemical oxygen demand of real-time treatment of oily wastewater, and the real-time biochemical oxygen demand of real-time treatment of oily wastewater; based on the obtained data set of real-time treatment monitoring effect of oily wastewater, a comprehensive analysis is performed to obtain the characteristic value of the real-time treatment monitoring effect of oily wastewater, and the characteristic value of the real-time treatment monitoring effect of oily wastewater is used as the analysis basis for comparing the dosage adjustment plan of oily wastewater; compare the characteristic value of the real-time treatment monitoring effect of oily wastewater with the dosage adjustment plan of oily wastewater corresponding to each characteristic value of the real-time treatment monitoring effect of oily wastewater stored in the database, and obtain the dosage adjustment plan of oily wastewater corresponding to the characteristic value of the real-time treatment monitoring effect of oily wastewater.

[0018] As a further solution, the characteristic value of the real-time monitoring effect of oily wastewater treatment is analyzed as follows:

[0019]

[0020] Wherein, ω is the monitoring effect characteristic value of oily wastewater real-time treatment, sz is the real-time suspended impurity content of oily wastewater real-time treatment, sh is the real-time chemical oxygen demand of oily wastewater real-time treatment, ss is the real-time biochemical oxygen demand of oily wastewater real-time treatment, ε1 is the compensation factor of the real-time suspended impurity content of oily wastewater real-time treatment, ε2 is the compensation factor of the real-time chemical oxygen demand of oily wastewater real-time treatment, and ε3 is the compensation factor of the real-time biochemical oxygen demand of oily wastewater real-time treatment.

[0021] As a further solution, the components of the oily wastewater after treatment are analyzed, and the specific analysis process is: obtain a data set of components of the oily wastewater after treatment, and the components of the oily wastewater after treatment specifically include the ammonia nitrogen content, total coliform content, polycyclic aromatic hydrocarbons content and heavy metal content after treatment; based on the obtained data set of components of the oily wastewater after treatment, store the ammonia nitrogen content, total coliform content, polycyclic aromatic hydrocarbons content and heavy metal content after treatment as designated tags, compare the designated tags with the characteristic values ​​of the components of the oily wastewater after treatment corresponding to the designated tags stored in the database, and obtain the characteristic values ​​of the components of the oily wastewater after treatment corresponding to the designated tags. The characteristic values ​​of the components of the oily wastewater after treatment are used as the analysis basis for judging whether the results of the oily wastewater treatment are qualified.

[0022] As a further solution, whether the oily wastewater treatment result is qualified is judged. The specific analysis process is: compare the characteristic value of the emission component after the oily wastewater treatment with the reference characteristic value of the emission component after the oily wastewater treatment stored in the database; if the characteristic value of the emission component after the oily wastewater treatment is higher than or equal to the reference characteristic value of the emission component after the oily wastewater treatment, then the oily wastewater treatment result corresponding to the characteristic value of the emission component after the oily wastewater treatment is qualified; if the characteristic value of the emission component after the oily wastewater treatment is lower than the reference characteristic value of the emission component after the oily wastewater treatment, then the oily wastewater treatment result corresponding to the characteristic value of the emission component after the oily wastewater treatment is unqualified.

[0023] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0024] (1) The present invention provides an intelligent drug control system based on the composition of oily wastewater. Through in-depth analysis of the initial composition and water quality of the oily wastewater, the present invention can formulate a suitable drug administration plan in a targeted manner to ensure that the treatment process is scientific and reasonable. The drug administration control equipment status judgment module monitors the equipment status in real time to improve the reliability of the treatment. The drug addition process is analyzed in real time to ensure the timeliness and accuracy of drug administration, which is conducive to maintaining the best use effect of the drug in the oily wastewater treatment process. The drug dosage adjustment plan comparison module dynamically adjusts the drug dosage according to the real-time monitoring effect to adapt to the changes in the water quality of different oily wastewater, thereby realizing a more flexible treatment strategy.

[0025] (2) The present invention uses a drug dosing control device in a qualified state to add drugs to the oily wastewater based on the drug dosing scheme obtained by comparison, analyzes the drug dosing process of the oily wastewater, and determines whether the drug dosing process of the oily wastewater is qualified. The drug dosing scheme for the oily wastewater formulated based on the specific water quality analysis results can more accurately select suitable drugs, enhance the treatment effect, and effectively remove oily substances. Accurate drug dosing can reduce the waste of drug usage and avoid unnecessary expenses caused by excessive use, thereby improving economic benefits. Real-time analysis of the drug dosing process can promptly discover and correct problems in the drug dosing process, ensure effectiveness, and reduce the risk of unqualified emissions.

[0026] (3) The present invention analyzes the real-time treatment monitoring effect of oily wastewater with qualified dosing process, and obtains the dosage adjustment plan of oily wastewater by comparison. Real-time monitoring can timely feedback the treatment effect, adjust the dosage of the agent according to the effect, ensure the optimal treatment efficiency, and avoid affecting the treatment result due to improper dosage of the agent. By comparing the monitoring data, the precise placement of the agent can be achieved without relying solely on experience or fixed plans, so that the agent can be used more scientifically and reasonably. Real-time monitoring enables the treatment system to respond quickly to changes in the oily wastewater, adapt to water quality fluctuations, and improve the adaptability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0028] Figure 1 It is a schematic diagram of system module connection of the present invention.

[0029] Figure 2 A flow chart of the steps for determining whether the status of the drug delivery control equipment is qualified. DETAILED DESCRIPTION

[0030] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0031] See also Figure 1 The embodiment of the present invention provides a technical solution: an intelligent medication control system based on oily wastewater composition, including an oily wastewater medication scheme comparison module, a drug delivery control equipment status judgment module, an oily wastewater medication process judgment module, an oily wastewater medication dosage adjustment scheme comparison module and an oily wastewater treatment result judgment module.

[0032] The oily wastewater medication plan comparison module analyzes the initial composition and water quality of the oily wastewater and obtains the oily wastewater medication plan through comparison.

[0033] Specifically, the initial composition and water quality of the oily wastewater are analyzed, and the drug use plan for the oily wastewater is obtained by comparison. The specific analysis process includes: obtaining the initial composition and water quality data set of the oily wastewater. The initial composition and water quality data set of the oily wastewater specifically include the initial oil content of the oily wastewater, the initial chemical oxygen demand of the oily wastewater, the initial biochemical oxygen demand of the oily wastewater, the initial pH value of the oily wastewater, and the initial suspended impurity content of the oily wastewater. The initial oil content of the oily wastewater refers to the concentration of oil substances in the oily wastewater, generally expressed in milligrams per liter (mg / L). The oil content is an important indicator for measuring the degree of water pollution. Commonly used equipment includes separation Photometer or gas chromatograph can be used to extract and analyze the oil content in water samples. Chemical oxygen demand (COD) is an indicator used to determine the degree of organic pollution in water. It indicates the amount of oxygen required in water to remove organic matter in the presence of strong oxidants. It is usually expressed in milligrams per liter (mg / L). COD spectrophotometer or COD meter can be used to quickly determine the COD value of water samples. Biochemical oxygen demand (BOD) refers to the amount of oxygen required for microorganisms in water samples to degrade organic matter under specific conditions. It is usually expressed in milligrams per liter (mg / L). BOD is a measure of the water body. The BOD culture instrument and BOD measuring instrument can be used to culture water samples under standard conditions and measure the amount of oxygen required for degradation. The pH value is an indicator of the concentration of hydrogen ions in water, indicating the acidity and alkalinity of water. The pH meter is used to directly measure the pH value of water samples. Suspended solids refer to solid particles that cannot be dissolved in water and flow with water. They are usually expressed in milligrams per liter (mg / L). The suspended solids content reflects the turbidity and pollution level of the water body. The filter device combined with the dry balance can be used to determine the suspended solids in the water sample. Based on the initial composition of the oily wastewater obtained, the pH value of the water sample is directly measured. The initial components and water quality assessment values ​​of oily wastewater are obtained through comprehensive analysis, and the initial components and water quality assessment values ​​of oily wastewater are used as the analysis basis for comparing the drug use plan for oily wastewater. A mapping set of historical initial components and water quality assessment values ​​of oily wastewater and drug use plans for oily wastewater is established, and the established mapping set is stored in a database. The initial components and water quality assessment values ​​of oily wastewater are compared with the mapping sets of drug use plans for oily wastewater corresponding to the initial components and water quality assessment values ​​of oily wastewater stored in the database to obtain the drug use plan for oily wastewater corresponding to the initial components and water quality assessment values ​​of oily wastewater.

[0034] It should be noted that the oil content in the above-mentioned oily wastewater usually affects the chemical oxygen demand (COD) and biochemical oxygen demand (BOD). Oil substances are a type of organic pollutant. Oily wastewater with a higher content is often accompanied by higher COD and BOD values. Removing these oil substances requires a certain amount of oxygen. COD and BOD are both indicators for measuring the content of organic matter in water. Usually BOD is a part of COD. BOD only measures the part that can be degraded by microorganisms, while COD measures all organic matter. pH value affects the metabolic activity of microorganisms. Therefore, in the degradation process of organic matter in water, pH also has a direct impact on BOD. Suspended matter usually contains organic and inorganic matter. Especially in oily wastewater, the increase of suspended matter often leads to an increase in COD and BOD values, and the organic components in the suspended matter may be degraded by microorganisms.

[0035] It should be noted that the above detailed data analysis of the initial components of oily wastewater (such as oil content, COD, BOD, pH, suspended solids, etc.) can accurately determine the characteristics and specific pollution types of oily wastewater, so as to select the most appropriate chemicals and treatment schemes to ensure efficient treatment processes. The use of suitable chemicals can accelerate the decomposition and removal of oil substances and improve the removal rate of petroleum pollutants, thereby optimizing the efficiency of the entire treatment process. Targeted chemical schemes can reasonably control the amount of chemicals used, avoid unnecessary waste, and thus reduce the economic cost of the entire oily wastewater treatment. The selection of appropriate chemicals based on water quality characteristics can reduce secondary pollution to water bodies, ensure that the treated water quality meets environmental protection standards, and protect the surrounding ecological environment. During the treatment process, the changes in water quality assessment values ​​can be monitored, combined with the existing assessment values ​​and chemical schemes in the database, and the dosage and treatment process can be adjusted in real time to improve the flexibility and effectiveness of the entire management process.

[0036] Furthermore, the initial composition and water quality assessment value of oily wastewater, the specific analysis process is as follows:

[0037]

[0038] Wherein, δ is the initial composition and water quality assessment value of oily wastewater, yh is the initial oil content of oily wastewater, ch is the initial chemical oxygen demand of oily wastewater, cs is the initial biochemical oxygen demand of oily wastewater, PH is the initial pH value of oily wastewater, xz is the initial suspended impurity content of oily wastewater, μ1 is the compensation factor for the set initial oil content of oily wastewater, μ2 is the compensation factor for the set initial chemical oxygen demand of oily wastewater, μ3 is the compensation factor for the set initial biochemical oxygen demand of oily wastewater, μ4 is the compensation factor for the set initial pH value of oily wastewater, and μ5 is the compensation factor for the set initial suspended impurity content of oily wastewater.

[0039] It should be explained that the above-mentioned initial components and water quality assessment values ​​of oily wastewater are calculated through the initial oil content of oily wastewater, the initial chemical oxygen demand of oily wastewater, the initial biochemical oxygen demand of oily wastewater, the initial pH value of oily wastewater, and the initial suspended impurity content of oily wastewater. The initial oil content of oily wastewater, the initial chemical oxygen demand of oily wastewater, the initial biochemical oxygen demand of oily wastewater, the initial pH value of oily wastewater, and the initial suspended impurity content of oily wastewater are normalized. Through the comprehensive analysis of indicators such as initial oil content, chemical oxygen demand (COD), biochemical oxygen demand (BOD), pH value and suspended impurity content, the overall water quality of oily wastewater can be accurately assessed, which is helpful to determine the necessity and urgency of treatment and provide a reference basis for the subsequent treatment process selection. Different initial water quality components require different treatment methods and technologies. By evaluating the initial components, the treatment plan of oily wastewater can be optimized, the most appropriate treatment technology (such as biological treatment, chemical treatment, physical treatment, etc.) can be selected, and the treatment efficiency and effect can be improved. The analysis of the initial components can provide a basis for setting a reasonable removal rate target in the treatment process, which is helpful to monitor the effectiveness of the treatment process, so that the operating parameters can be adjusted in time during the treatment process to achieve Discharge standards, comparing the water quality assessment values ​​before and after treatment, can help to timely discover problems in the treatment process and make adjustments. A complete monitoring system can ensure the stable operation of treatment facilities and effectively prevent excessive discharge. The compensation factors for the set initial oil content of oily wastewater, initial chemical oxygen demand of oily wastewater, initial biochemical oxygen demand of oily wastewater, initial pH value of oily wastewater, and initial suspended impurity content of oily wastewater are obtained from the database. The historically measured initial oil content of oily wastewater, initial chemical oxygen demand of oily wastewater, initial biochemical oxygen demand of oily wastewater, and initial pH value of oily wastewater are established based on historical data. A mapping set of H value, initial suspended impurity content of oily wastewater and compensation factors of initial oil content of oily wastewater, initial chemical oxygen demand of oily wastewater, initial biochemical oxygen demand of oily wastewater, initial pH value of oily wastewater, and initial suspended impurity content of oily wastewater is obtained to obtain the compensation factors of initial oil content of oily wastewater, initial chemical oxygen demand of oily wastewater, initial biochemical oxygen demand of oily wastewater, initial pH value of oily wastewater, and initial suspended impurity content of oily wastewater corresponding to the current initial oil content of oily wastewater, initial chemical oxygen demand of oily wastewater, initial biochemical oxygen demand of oily wastewater, initial pH value of oily wastewater, and initial suspended impurity content of oily wastewater.

[0040] The drug delivery control device status judgment module analyzes the drug delivery control device status and judges whether the drug delivery control device status is qualified.

[0041] Specifically, the status of the drug delivery control device is analyzed to determine whether the status of the drug delivery control device is qualified, such as Figure 2As shown, the specific analysis process is: obtaining a data set of the state of the drug administration control device, and based on the obtained data set of the state of the drug administration control device, comprehensively analyzing to obtain a characteristic value of the state of the drug administration control device, and using the characteristic value of the state of the drug administration control device as an analysis basis for judging whether the state of the drug administration control device is qualified; comparing the characteristic value of the state of the drug administration control device with the characteristic value of the state of the drug administration control device defined in the database; if the characteristic value of the state of the drug administration control device is higher than or equal to the characteristic value of the state of the drug administration control device defined, then the state of the drug administration control device corresponding to the characteristic value of the state of the drug administration control device is qualified; if the characteristic value of the state of the drug administration control device is lower than the characteristic value of the state of the drug administration control device defined, then the state of the drug administration control device corresponding to the characteristic value of the state of the drug administration control device is unqualified.

[0042] It should be noted that the above-mentioned monitoring and analysis of the status of the agent dosage control equipment can ensure that the dosage and dosage time of the agent are accurate, thereby improving the treatment effect and water quality compliance rate. Regular analysis of the equipment status can timely discover potential equipment failures and abnormalities, reduce downtime caused by equipment failure, and ensure the normal operation of the equipment. Monitoring and maintenance of the equipment status can avoid safety accidents caused by equipment failure, reduce potential risks during operation, and improve overall safety. Ensuring that the status of the dosage control equipment is qualified can effectively control the dosage of the agent, reduce agent waste, and reduce treatment costs. Real-time monitoring and analysis of data can help operators adjust treatment parameters in time, optimize the agent dosage strategy, and improve overall treatment efficiency. Combining data analysis with databases can support intelligent decision-making and automated control, optimize the agent dosage process, and realize intelligent management.

[0043] Furthermore, the status data set of the drug delivery control equipment specifically includes the drug reserves of the drug delivery control equipment, the energy consumption per unit time of the drug delivery control equipment, and the delivery response time of the drug delivery control equipment. The drug reserves refer to the amount of drugs currently stored in the drug delivery control equipment, which can be expressed by weight (such as kilograms) or volume (such as liters). The monitoring of drug reserves is crucial to ensure continuous and effective drug treatment. For solid drugs, an electronic scale is used to measure the weight of the solid drugs. For liquid drugs, a commonly used liquid level sensor can measure the liquid height in the storage tank, and the drug height and the cross-sectional area of ​​the storage tank are used to calculate the drug level. The storage volume and energy consumption per unit time refer to the energy consumed by the agent delivery control device per unit time, usually in kilowatts (kW), which can reflect the energy efficiency level of the equipment when delivering agents. Smart meters can provide continuous energy consumption monitoring data. The delivery response time refers to the time interval from the receipt of the delivery command by the agent delivery control device to the actual start of agent delivery, which reflects the reaction speed and sensitivity of the equipment. It is very important for quickly adjusting the agent delivery. The timestamp function in the control system can be combined to record the time when the delivery command is sent and the time when the agent delivery actually starts, and then the response time can be calculated.

[0044] It should be noted that when the above-mentioned agent reserves are sufficient, the equipment can stably release the agent, avoiding frequent shutdowns or adjustments due to insufficient agent, thereby reducing energy consumption. If the reserves are insufficient, the equipment may be frequently turned on and off in a short period of time, resulting in increased energy consumption. If the agent reserve monitoring system works normally and can provide real-time feedback on the current remaining amount of agent, the response of the release control equipment will be more timely and accurate. If the reserve monitoring is inaccurate, the response time of the release may be extended because the equipment needs time to confirm whether the release needs to be adjusted or the agent needs to be replenished. The shorter the release response time, it usually means that the equipment can quickly adjust the release according to actual needs, thereby improving energy efficiency. A longer response time may cause the equipment to be repeatedly turned on and off in a short period of time after waiting for the release, increasing energy consumption per unit time.

[0045] It should be noted that the specific analysis process of the above-mentioned state characteristic value of the drug delivery control device is as follows:

[0046]

[0047] In the formula, α is the state characteristic value of the agent delivery control equipment, cl is the agent reserves of the agent delivery control equipment, hn is the energy consumption per unit time of the agent delivery control equipment, xy is the delivery response time of the agent delivery control equipment, σ1 is the compensation factor of the set agent reserves of the agent delivery control equipment, σ2 is the compensation factor of the set energy consumption per unit time of the agent delivery control equipment, and σ3 is the compensation factor of the set delivery response time of the agent delivery control equipment.

[0048] It needs to be explained that the above-mentioned state characteristic values ​​of the agent delivery control equipment are calculated through the agent reserves of the agent delivery control equipment, the energy consumption per unit time of the agent delivery control equipment, and the delivery response time of the agent delivery control equipment. The agent reserves of the agent delivery control equipment, the energy consumption per unit time of the agent delivery control equipment, and the delivery response time of the agent delivery control equipment are normalized, so that the operating status of the agent delivery control equipment can be understood in real time, ensuring that the equipment is in good working condition, and abnormal conditions can be discovered in time to avoid interruptions or insufficient drug delivery due to equipment failure. The monitoring of agent reserves and the analysis of response time are helpful to ensure the accuracy of the amount and time of drug delivery, avoid excessive or insufficient drugs, ensure the treatment effect and effectiveness, and reduce operating costs. The analysis of energy consumption per unit time can help managers identify the energy consumption pattern of the equipment, reduce energy consumption by optimizing equipment operating parameters, reduce operating costs, and improve economic benefits. Monitoring and analyzing the status characteristic values ​​can predict potential equipment failures, take maintenance measures in advance, and reduce the risk of production interruptions caused by sudden failures. The set agent reserves of the agent release control equipment, the energy consumption per unit time of the agent release control equipment, and the compensation factor of the release response time of the agent release control equipment are obtained from the database. According to historical data, a mapping set of historically measured agent reserves of the agent release control equipment, the energy consumption per unit time of the agent release control equipment, and the release response time of the agent release control equipment and the agent reserves of the agent release control equipment, the energy consumption per unit time of the agent release control equipment, and the compensation factor of the release response time of the agent release control equipment are established to obtain the agent reserves of the agent release control equipment, the energy consumption per unit time of the agent release control equipment, and the release response time of the agent release control equipment corresponding to the current agent reserves, the energy consumption per unit time of the agent release control equipment, and the release response time of the agent release control equipment.

[0049] The oily wastewater dosing process judgment module, based on the oily wastewater dosing scheme obtained by comparison, adds medicine to the oily wastewater through a qualified drug delivery control device, analyzes the oily wastewater dosing process, and determines whether the oily wastewater dosing process is qualified.

[0050] Specifically, the oily wastewater dosing process is analyzed to determine whether the oily wastewater dosing process is qualified. The specific analysis process is: obtain an oily wastewater dosing process data set, and based on the obtained oily wastewater dosing process data set, obtain an oily wastewater dosing process evaluation value through comprehensive analysis, and use the oily wastewater dosing process evaluation value as an analysis basis for determining whether the oily wastewater dosing process is qualified; compare the oily wastewater dosing process evaluation value with the oily wastewater dosing process reference evaluation value stored in the database; if the oily wastewater dosing process evaluation value is higher than or equal to the oily wastewater dosing process reference evaluation value, then the oily wastewater dosing process corresponding to the oily wastewater dosing process evaluation value is qualified; if the oily wastewater dosing process evaluation value is lower than the oily wastewater dosing process reference evaluation value, then the oily wastewater dosing process corresponding to the oily wastewater dosing process evaluation value is unqualified.

[0051] It should be noted that the above-mentioned acquisition and analysis of the data set of the oily wastewater dosing process can ensure the effectiveness of the dosing process. A qualified dosing process can ensure that the pollutants in the oily wastewater are effectively removed, thereby improving the effect of water treatment and meeting environmental protection standards. On the basis of analyzing the evaluation value of the oily wastewater dosing process, the deficiencies in the dosing process can be identified, so that corresponding adjustments and optimizations can be made to improve the efficiency of dosing, optimize the amount and time of agent addition, and reduce agent waste. Effective oily wastewater treatment can not only reduce the negative impact on the environment, but also prevent water pollution. Judging whether the dosing process is qualified and ensuring that it is qualified can protect the safety of ecosystems and public water resources. Data-based analysis and evaluation make decisions more scientific. Quantitative evaluation of the oily wastewater dosing process can provide data support for further process adjustments, equipment maintenance, etc., and improve the scientific nature of management decisions.

[0052] Furthermore, the oily wastewater dosing process data set specifically includes the absolute value of the difference between the oily wastewater dosing rate and the reference dosing rate, the absolute value of the difference between the oily wastewater dosing stirring rate and the reference stirring rate, and the absolute value of the difference between the oily wastewater dosing agent concentration and the reference agent concentration. The absolute value of the difference between the oily wastewater dosing rate and the reference dosing rate reflects the deviation between the actual dosing rate and the predetermined or ideal dosing rate, indicating the effectiveness and stability of the system in the dosing process. A large difference may lead to insufficient or excessive dosing of the agent, thereby affecting the treatment effect. Based on the system equipped with PLC (programmable logic controller) or DCS (distributed control system), the system can be used to control the oily wastewater dosing rate and the reference dosing rate. The control system) is used to monitor and record the dosing rate. The absolute value of the difference between the stirring rate of the oily wastewater dosing and the reference stirring rate indicates the deviation between the actual stirring rate and the set or ideal stirring rate, reflecting the uniformity of material mixing during the agent stirring and mixing process. Uneven stirring will lead to uneven distribution of the agent, affecting the treatment effect. It is obtained based on the tachometer. The absolute value of the difference between the concentration of the oily wastewater dosing agent and the reference agent concentration indicates the deviation between the actual agent concentration and the predetermined concentration, reflecting the agent addition effect and the ability to treat water quality. The concentration deviation will directly affect the reaction efficiency of the agent and sewage, which is obtained based on the concentration meter.

[0053] In a specific embodiment, if the absolute value of the difference between the dosing rate and the reference dosing rate is large, and the absolute value of the difference between the agent concentration and the reference concentration is also large, it may mean that the dosing control of the system is unstable, resulting in the actual amount of added agent and the agent concentration not meeting the design standards. The absolute value of the difference in stirring rate also interacts with the difference in dosing rate and agent concentration. A lower stirring rate may cause uneven mixing of the agents, thereby affecting the final treatment effect. Even if the dosing rate and agent concentration are qualified in design, if the deviation of the dosing rate is relatively large and the stirring rate is low, the agent will be unevenly distributed, which may cause the local concentration to be too high or too low, further affecting the water treatment effect.

[0054] It should be noted that the above-mentioned oily wastewater medication plan obtained based on comparison is used to add medication to the oily wastewater through a qualified medication delivery control device, and the oily wastewater medication delivery process is analyzed to determine whether the oily wastewater medication delivery process is qualified. The oily wastewater medication plan formulated based on specific water quality analysis results can more accurately select suitable medications, enhance the treatment effect, and effectively remove oily substances. Accurate medication delivery can reduce the waste of medication and avoid unnecessary expenses caused by excessive use, thereby improving economic benefits. Real-time analysis of the medication delivery process can promptly discover and correct problems in the medication delivery process, ensure effectiveness, and reduce the risk of unqualified emissions.

[0055] It should be noted that the above-mentioned evaluation value of the oily wastewater dosing process is analyzed in the following specific process:

[0056]

[0057] Wherein, γ is the evaluation value of the oily wastewater dosing process, sl is the absolute value of the difference between the oily wastewater dosing rate and the reference dosing rate, jb is the absolute value of the difference between the oily wastewater dosing stirring rate and the reference stirring rate, nd is the absolute value of the difference between the oily wastewater dosing agent concentration and the reference agent concentration, τ1 is the compensation factor of the absolute value of the difference between the set oily wastewater dosing rate and the reference dosing rate, τ2 is the compensation factor of the absolute value of the difference between the set oily wastewater dosing stirring rate and the reference stirring rate, τ3 is the compensation factor of the absolute value of the difference between the set oily wastewater dosing agent concentration and the reference agent concentration, and e is a natural constant.

[0058] It should be explained that the above-mentioned evaluation value of the oily wastewater dosing process is calculated by the absolute value of the difference between the oily wastewater dosing rate and the reference dosing rate, the absolute value of the difference between the oily wastewater dosing stirring rate and the reference stirring rate, and the absolute value of the difference between the oily wastewater dosing agent concentration and the reference agent concentration. The absolute value of the difference between the oily wastewater dosing rate and the reference dosing rate, the absolute value of the difference between the oily wastewater dosing stirring rate and the reference stirring rate, and the absolute value of the difference between the oily wastewater dosing agent concentration and the reference agent concentration are normalized to clearly understand the gap between the actual operation and the optimal standard, so as to adjust the dosing rate, stirring rate, and The rate and concentration of the reagents can achieve the best treatment effect. Ensuring that the dosing rate, stirring rate and reagent concentration are within the appropriate range can help improve the treatment efficiency of oily wastewater, enhance the separation and degreasing effect of wastewater, and reduce treatment costs. Accurately controlling the reagent concentration and dosing rate can avoid excessive use of reagents, reduce operating costs, and reduce the burden on the environment. Continuous monitoring of the dosing evaluation value can timely detect abnormalities in the dosing process, ensure that the system operates in a stable state, and avoid equipment failures caused by improper operation. Analyzing the dosing process evaluation value can provide data support for management and help formulate more reasonable The operating standards, adjustment strategies and optimization plans are as follows: the absolute value of the difference between the oily wastewater dosing rate and the reference dosing rate, the absolute value of the difference between the oily wastewater dosing stirring rate and the reference stirring rate, and the compensation factors of the absolute value of the difference between the oily wastewater dosing agent concentration and the reference agent concentration are obtained from the database; the absolute value of the difference between the oily wastewater dosing rate and the reference dosing rate, the absolute value of the difference between the oily wastewater dosing stirring rate and the reference stirring rate, the absolute value of the difference between the oily wastewater dosing agent concentration and the reference agent concentration, and the absolute value of the difference between the oily wastewater dosing rate and the reference dosing rate are established based on historical data. , the absolute value of the difference between the stirring rate of oily wastewater dosing and the reference stirring rate, and the compensation factor of the absolute value of the difference between the concentration of oily wastewater dosing agent and the reference agent concentration; obtain the absolute value of the difference between the current oily wastewater dosing rate and the reference dosing rate, the absolute value of the difference between the stirring rate of oily wastewater dosing and the reference stirring rate, the compensation factor of the absolute value of the difference between the oily wastewater dosing agent concentration and the reference agent concentration corresponding to the absolute value of the difference between the current oily wastewater dosing rate and the reference dosing rate, the absolute value of the difference between the stirring rate of oily wastewater dosing and the reference stirring rate, and the compensation factor of the absolute value of the difference between the oily wastewater dosing agent concentration and the reference agent concentration.

[0059] The comparison module of the dosage adjustment plan for oily wastewater analyzes the real-time treatment monitoring effect of oily wastewater with qualified dosing process, and obtains the dosage adjustment plan for oily wastewater by comparison.

[0060] Specifically, the real-time treatment monitoring effect of oily wastewater is analyzed, and the dosage adjustment plan of oily wastewater is obtained by comparison. The specific analysis process is: obtain the real-time treatment monitoring effect data set of oily wastewater, which specifically includes the real-time suspended impurity content of oily wastewater, the real-time chemical oxygen demand of oily wastewater, and the real-time biochemical oxygen demand of oily wastewater. The suspended impurity content refers to the concentration of suspended solid particles in wastewater, usually expressed in milligrams per liter (mg / L). These particles can be sediment, oil droplets or other solid substances, and their concentration directly affects the transparency and water quality of the water body. The suspended solid content is monitored in real time by detecting the scattering changes of light in the water. The turbidity of water can be expressed in NTU (turbidity unit) by turbidimeter. Chemical oxygen demand refers to the amount of oxygen consumed in chemical oxidation reactions, usually expressed in mg / L. COD is mainly used to evaluate the content and pollution degree of organic matter in water. A higher COD value indicates that there are more organic pollutants in the water and the water quality is poor. , biochemical oxygen demand refers to the amount of oxygen required by microorganisms to decompose organic matter in water during the biodegradation process, usually expressed in mg / L. The BOD value reflects the content of biodegradable organic matter in water and is an important indicator for evaluating water quality and sewage treatment effects. A higher BOD value usually means that there are more pollutants in the water. It is obtained based on an online BOD monitor; based on the acquired oily wastewater real-time treatment monitoring effect data set, a comprehensive analysis is performed to obtain the oily wastewater real-time treatment monitoring effect characteristic value, and the oily wastewater real-time treatment monitoring effect characteristic value is used as the analysis basis for comparing and obtaining the oily wastewater medication dosage adjustment plan; a mapping set of historical oily wastewater real-time treatment monitoring effect characteristic values ​​and oily wastewater medication dosage adjustment plans is established, and the established mapping set is stored in a database, and the oily wastewater real-time treatment monitoring effect characteristic values ​​are compared with the mapping set of oily wastewater medication dosage adjustment plans corresponding to each oily wastewater real-time treatment monitoring effect characteristic value stored in the database, and the oily wastewater medication dosage adjustment plan corresponding to the oily wastewater real-time treatment monitoring effect characteristic value is obtained.

[0061] It should be noted that the above-mentioned suspended impurities usually contain higher levels of organic matter. These organic matter will increase the values ​​of COD and BOD after dissolving in water. The increase of suspended impurities will usually lead to an increase in COD and BOD. COD reflects the total amount of all organic matter (biodegradable and non-biodegradable) in the water, while BOD focuses on organic matter that can be degraded by microorganisms. COD is usually greater than or equal to BOD.

[0062] It should be noted that the above analysis and monitoring effect characteristic values ​​can more accurately determine the required type and dosage of chemical agents, formulate more targeted treatment plans, and select the most suitable flocculants or biological agents according to the changing trends of suspended solids, COD and BOD. The support of monitoring data can quickly identify changes in water quality, so as to adjust the medication plan in time to avoid low treatment efficiency caused by excessive or insufficient drugs. Through more accurate medication plans, the response time of water treatment can be shortened and the treatment efficiency of the system can be improved. Accurate monitoring can avoid unnecessary agent addition, thereby reducing the cost of using chemical agents. Based on the analysis of real-time monitoring data and characteristic values, treatment plans can be scientifically formulated and adjusted to enhance the scientificity and effectiveness of decision-making. Real-time monitoring and comparison of historical data can better respond to emergencies, improve the stability of the treatment system, and reduce the failure rate.

[0063] It should be noted that the above-mentioned analysis of the real-time treatment monitoring effect of oily wastewater with qualified oily wastewater in the dosing process is carried out, and the dosage adjustment plan of oily wastewater is obtained by comparison. Real-time monitoring can timely feedback the treatment effect, adjust the dosage of the agent according to the effect, ensure the optimal treatment efficiency, and avoid affecting the treatment results due to improper dosage of the agent. By comparing the monitoring data, the precision of the agent delivery can be achieved, without having to rely solely on experience or fixed plans, so as to use the agents more scientifically and reasonably. Real-time monitoring enables the treatment system to respond quickly according to the changes in oily wastewater, adapt to water quality fluctuations, and improve the adaptability of the system.

[0064] Furthermore, the characteristic value of the real-time monitoring effect of oily wastewater treatment is analyzed in the following specific process:

[0065]

[0066] Wherein, ω is the monitoring effect characteristic value of oily wastewater real-time treatment, sz is the real-time suspended impurity content of oily wastewater real-time treatment, sh is the real-time chemical oxygen demand of oily wastewater real-time treatment, ss is the real-time biochemical oxygen demand of oily wastewater real-time treatment, ε1 is the compensation factor of the real-time suspended impurity content of oily wastewater real-time treatment, ε2 is the compensation factor of the real-time chemical oxygen demand of oily wastewater real-time treatment, and ε3 is the compensation factor of the real-time biochemical oxygen demand of oily wastewater real-time treatment.

[0067] It should be explained that the above-mentioned characteristic values ​​of the monitoring effect of real-time treatment of oily wastewater are calculated through the real-time suspended impurity content of real-time treatment of oily wastewater, the real-time chemical oxygen demand of real-time treatment of oily wastewater, and the real-time biochemical oxygen demand of real-time treatment of oily wastewater. The real-time suspended impurity content of real-time treatment of oily wastewater, the real-time chemical oxygen demand of real-time treatment of oily wastewater, and the real-time biochemical oxygen demand of real-time treatment of oily wastewater are normalized. Real-time monitoring of suspended matter, COD and BOD can instantly grasp the changes in water quality during the treatment of oily wastewater, and promptly discover and deal with problems. Real-time characteristic value analysis can help operators understand the current water treatment effect, adjust the treatment process in time, optimize the dosage of chemicals and reaction time, thereby improving the treatment efficiency. Monitoring water quality indicators can effectively control and reduce pollutants discharged into the environment to ensure that environmental protection standards are met. Obtaining water quality data helps save treatment costs and optimize the use of chemicals and energy. To avoid unnecessary waste of resources, the set compensation factors of real-time suspended impurities content of oily sewage real-time treatment, real-time chemical oxygen demand of oily sewage real-time treatment, and real-time biochemical oxygen demand of oily sewage real-time treatment are obtained from the database, and a mapping set of historically measured real-time suspended impurities content of oily sewage real-time treatment, real-time chemical oxygen demand of oily sewage real-time treatment, and real-time biochemical oxygen demand of oily sewage real-time treatment and compensation factors of real-time suspended impurities content of oily sewage real-time treatment, real-time chemical oxygen demand of oily sewage real-time treatment, and real-time biochemical oxygen demand of oily sewage real-time treatment are established according to historical data to obtain the compensation factors of real-time suspended impurities content of oily sewage real-time treatment, real-time chemical oxygen demand of oily sewage real-time treatment, and real-time biochemical oxygen demand of oily sewage real-time treatment corresponding to the current real-time suspended impurities content of oily sewage real-time treatment, real-time chemical oxygen demand of oily sewage real-time treatment, and real-time biochemical oxygen demand of oily sewage real-time treatment.

[0068] The oily wastewater treatment result judgment module analyzes the discharge components of the treated oily wastewater after the dosage of the oily wastewater is adjusted to determine whether the oily wastewater treatment results are qualified.

[0069] Specifically, the components of the oily wastewater after treatment are analyzed to determine whether the oily wastewater treatment results are qualified. The specific analysis process is: obtain a data set of components of the oily wastewater after treatment. The components of the oily wastewater after treatment specifically include the ammonia nitrogen content, the total coliform content, the polycyclic aromatic hydrocarbons content, and the heavy metal content after the oily wastewater treatment. Ammonia nitrogen is a form of nitrogen in water, usually derived from the decomposition of organic matter and nitrogen fertilizers. After the oily wastewater is treated, the ammonia nitrogen content directly affects the water quality of the water body and its impact on the water ecological environment. Excessive ammonia nitrogen concentration may lead to eutrophication of the water body, thereby causing excessive growth of algae. The concentration of ammonia nitrogen is determined by colorimetry. The color depth of the sample after the reaction is proportional to the concentration of ammonia nitrogen. Total coliform refers to a common type of bacteria, which is usually used as an indicator of water pollution. The detection of total coliform content can evaluate the degree of microbial pollution in water bodies and ensure the hygiene and safety of water bodies. Molecular biological methods are used to amplify the DNA of total coliform in water samples and quantify it with the help of fluorescent signals. Polycyclic aromatic hydrocarbons are a common type of environmental pollutants, mainly derived from the combustion and incomplete combustion of petroleum. They are carcinogenic. Monitoring their content helps evaluate the degree of water pollution and its impact on the ecological environment. It is obtained based on high performance liquid chromatography. Heavy metals usually refer to elements such as lead (Pb), mercury (Hg), and cadmium (Cd). These elements are highly toxic and harmful to ecosystems and human health. Detecting the content of heavy metals is helpful in assessing the pollution risk of water bodies. It is obtained based on an inductively coupled plasma mass spectrometer; based on the acquired data set of oily wastewater discharge components after treatment, the ammonia nitrogen content, total coliform content, polycyclic aromatic hydrocarbons content and heavy metal content of oily wastewater after treatment are stored as designated tags, and a mapping set of historical designated tags and characteristic values ​​of oily wastewater discharge components after treatment is established, and the established mapping set is stored in a database, and the designated tag is compared with the mapping set of characteristic values ​​of oily wastewater discharge components after treatment corresponding to each designated tag stored in the database. , obtain the characteristic value of the component discharged from the treated oily wastewater corresponding to the designated label, and use the characteristic value of the component discharged from the treated oily wastewater as the analysis basis for judging whether the result of the treatment of the oily wastewater is qualified; compare the characteristic value of the component discharged from the treated oily wastewater with the reference characteristic value of the component discharged from the treated oily wastewater stored in the database; if the characteristic value of the component discharged from the treated oily wastewater is higher than or equal to the reference characteristic value of the component discharged from the treated oily wastewater, then the result of the treatment of the oily wastewater corresponding to the characteristic value of the component discharged from the treated oily wastewater is qualified; if the characteristic value of the component discharged from the treated oily wastewater is lower than the reference characteristic value of the component discharged from the treated oily wastewater, then the result of the treatment of the oily wastewater corresponding to the characteristic value of the component discharged from the treated oily wastewater is unqualified.

[0070] In a specific embodiment, ammonia nitrogen is one of the important nutrients in water bodies. Higher ammonia nitrogen concentrations may promote the growth of certain bacteria (including coliform bacteria). There may be a certain positive correlation between the concentrations of ammonia nitrogen and coliform bacteria. The relationship between ammonia nitrogen and polycyclic aromatic hydrocarbons and heavy metals may be more complicated. Wastewater containing heavy metals and polycyclic aromatic hydrocarbons may also carry higher ammonia nitrogen, which indicates the similarity of the sources of wastewater, that is, these pollutants are produced simultaneously in certain industrial processes or waste discharges. Higher ammonia nitrogen concentrations can promote bacterial growth, leading to an increase in the total number of coliform bacteria. If the oily wastewater is not treated thoroughly, the concentration of bacterial pollutants may exceed the standard. Total coliform bacteria in water bodies usually indicate microbial pollution. If there are more heavy metals and polycyclic aromatic hydrocarbons in the water body, this may inhibit the growth of bacteria and reduce the number of total coliform bacteria. Under certain conditions, the diversity and drug resistance of bacteria may be enhanced when pollution management is improper. Polycyclic aromatic hydrocarbons and heavy metals often exist simultaneously in oil pollution, especially in oil refining, chemical manufacturing and combustion processes. They may come from similar industrial activities.

[0071] It should be noted that the above analysis and judgment of the various components of oily wastewater after treatment (such as ammonia nitrogen, total coliform group, polycyclic aromatic hydrocarbons, heavy metals, etc.) can effectively prevent pollutants from being discharged into the natural environment in excess of the standard, and help protect the water ecology. The comparison between the analysis of the discharged components after treatment and the reference characteristic values ​​can reveal the deficiencies of the existing treatment process, thereby providing a basis for technical improvement. Continuous monitoring and analysis can continuously optimize the treatment process, improve treatment efficiency and effectiveness, and store and compare the treated component data with the reference characteristic values ​​in the database, which can provide data support for management to make evidence-based decisions and promote enterprises to develop towards higher environmental protection standards. Analysis of the component data of oily wastewater after treatment can reveal where pollution has occurred, and then adjust the allocation of resources in a targeted manner, concentrate on improving the pollutant removal effect, and improve the economy of treatment facilities.

[0072] It should be noted that the above-mentioned intelligent drug control system based on the composition of oily wastewater can make an in-depth analysis of the initial composition and water quality of oily wastewater, and can formulate appropriate drug administration plans in a targeted manner to ensure that the treatment process is scientific and reasonable. The drug administration control equipment status judgment module monitors the equipment status in real time to improve the reliability of treatment, and conducts real-time analysis of the drug addition process to ensure the timeliness and accuracy of drug administration, which is conducive to maintaining the best use effect of drugs in the oily wastewater treatment process. The dosage adjustment plan comparison module dynamically adjusts the dosage of drugs according to the real-time monitoring effect to adapt to the changes in the water quality of different oily wastewater, thereby realizing a more flexible treatment strategy.

[0073] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. An intelligent medication control system based on oily wastewater composition, characterized in that: It includes the oily sewage medication scheme comparison module, the medication delivery control equipment status judgment module, the oily sewage medication process judgment module, the oily sewage medication dosage adjustment scheme comparison module and the oily sewage treatment result judgment module, among which: The oily wastewater medication scheme comparison module analyzes the initial composition and water quality of the oily wastewater and obtains the oily wastewater medication scheme by comparison; The medicine delivery control device state judgment module analyzes the state of the medicine delivery control device to judge whether the state of the medicine delivery control device is qualified; Acquire a data set of the state of the medicine delivery control device, and obtain a state characteristic value of the medicine delivery control device through comprehensive analysis based on the acquired state data set of the medicine delivery control device, and use the state characteristic value of the medicine delivery control device as an analysis basis for judging whether the state of the medicine delivery control device is qualified; Compare the state characteristic value of the medicine dispensing control device with the state defining characteristic value of the medicine dispensing control device stored in the database; If the state characteristic value of the medicine delivery control device is higher than or equal to the state boundary characteristic value of the medicine delivery control device, the state of the medicine delivery control device corresponding to the state characteristic value of the medicine delivery control device is qualified; If the state characteristic value of the medicine delivery control device is lower than the state defining characteristic value of the medicine delivery control device, the state of the medicine delivery control device corresponding to the state characteristic value of the medicine delivery control device is unqualified; The specific analysis process of the state characteristic value of the drug delivery control equipment is as follows: In the formula, α is the state characteristic value of the agent delivery control equipment, cl is the agent reserve of the agent delivery control equipment, hn is the energy consumption per unit time of the agent delivery control equipment, xy is the delivery response time of the agent delivery control equipment, σ1 is the compensation factor of the set agent reserve of the agent delivery control equipment, σ2 is the compensation factor of the set energy consumption per unit time of the agent delivery control equipment, and σ3 is the compensation factor of the set delivery response time of the agent delivery control equipment; The oily wastewater dosing process judgment module, based on the oily wastewater dosing scheme obtained by comparison, adds medicine to the oily wastewater through a qualified medicine delivery control device, analyzes the oily wastewater dosing process, and determines whether the oily wastewater dosing process is qualified; The oily sewage dosage adjustment scheme comparison module analyzes the oily sewage with qualified dosing process and the real-time treatment monitoring effect of the oily sewage, and compares and obtains the oily sewage dosage adjustment scheme; The oily wastewater treatment result judgment module analyzes the discharge components of the treated oily wastewater after the dosage of the medicine used in the oily wastewater is adjusted to judge whether the oily wastewater treatment result is qualified.

2. According to claim 1, an intelligent medication control system based on oily wastewater composition is characterized by: The initial components and water quality of the oily wastewater are analyzed and compared to obtain the drug use plan for the oily wastewater. The specific analysis process includes: Obtaining the initial composition and water quality data set of oily wastewater, which specifically includes the initial oil content of oily wastewater, the initial chemical oxygen demand of oily wastewater, the initial biochemical oxygen demand of oily wastewater, the initial pH value of oily wastewater, and the initial suspended matter impurity content of oily wastewater; Based on the obtained data set of initial composition and water quality of oily wastewater, the initial composition and water quality assessment value of oily wastewater are obtained through comprehensive analysis. The initial composition and water quality assessment value of oily wastewater are used as the analytical basis for comparing and obtaining the drug use plan for oily wastewater. The initial composition and water quality assessment value of the oily wastewater are compared with the oily wastewater medication plan corresponding to each initial composition and water quality assessment value of the oily wastewater stored in the database to obtain the oily wastewater medication plan corresponding to the initial composition and water quality assessment value of the oily wastewater.

3. According to claim 2, an intelligent medication control system based on oily wastewater composition is characterized by: The specific analysis process of the initial composition and water quality assessment value of the oily wastewater is as follows: Wherein, δ is the initial composition and water quality assessment value of oily wastewater, yh is the initial oil content of oily wastewater, ch is the initial chemical oxygen demand of oily wastewater, cs is the initial biochemical oxygen demand of oily wastewater, PH is the initial pH value of oily wastewater, xz is the initial suspended impurity content of oily wastewater, μ1 is the compensation factor for the set initial oil content of oily wastewater, μ2 is the compensation factor for the set initial chemical oxygen demand of oily wastewater, μ3 is the compensation factor for the set initial biochemical oxygen demand of oily wastewater, μ4 is the compensation factor for the set initial pH value of oily wastewater, and μ5 is the compensation factor for the set initial suspended impurity content of oily wastewater.

4. According to claim 1, an intelligent medication control system based on oily wastewater composition is characterized by: The drug delivery control device status data set specifically includes the drug storage of the drug delivery control device, the energy consumption per unit time of the drug delivery control device, and the delivery response time of the drug delivery control device.

5. According to claim 1, an intelligent medication control system based on oily wastewater composition is characterized by: The oily wastewater dosing process is analyzed to determine whether the oily wastewater dosing process is qualified. The specific analysis process is as follows: Obtaining a data set of the oily wastewater dosing process, and obtaining an evaluation value of the oily wastewater dosing process based on the obtained data set of the oily wastewater dosing process, and the evaluation value of the oily wastewater dosing process is used as an analysis basis for judging whether the oily wastewater dosing process is qualified; Compare the evaluation value of the oily wastewater dosing process with the reference evaluation value of the oily wastewater dosing process stored in the database; If the evaluation value of the oily wastewater dosing process is higher than or equal to the reference evaluation value of the oily wastewater dosing process, the oily wastewater dosing process corresponding to the evaluation value of the oily wastewater dosing process is qualified; If the evaluation value of the oily wastewater dosing process is lower than the reference evaluation value of the oily wastewater dosing process, the oily wastewater dosing process corresponding to the evaluation value of the oily wastewater dosing process is unqualified.

6. According to claim 5, an intelligent medication control system based on oily wastewater composition is characterized by: The oily wastewater dosing process data set specifically includes the absolute value of the difference between the oily wastewater dosing rate and the reference dosing rate, the absolute value of the difference between the oily wastewater dosing stirring rate and the reference stirring rate, and the absolute value of the difference between the oily wastewater dosing agent concentration and the reference agent concentration.

7. According to claim 1, an intelligent medication control system based on oily wastewater composition is characterized by: The real-time monitoring effect of oily wastewater treatment is analyzed and compared to obtain the dosage adjustment plan for oily wastewater. The specific analysis process is as follows: Obtaining a data set of monitoring effect of real-time treatment of oily wastewater, which specifically includes real-time suspended matter impurity content of real-time treatment of oily wastewater, real-time chemical oxygen demand of real-time treatment of oily wastewater, and real-time biochemical oxygen demand of real-time treatment of oily wastewater; Based on the acquired data set of real-time monitoring effect of oily wastewater treatment, the characteristic value of real-time monitoring effect of oily wastewater treatment is obtained through comprehensive analysis. The characteristic value of real-time monitoring effect of oily wastewater treatment is used as the analysis basis for comparing and obtaining the adjustment plan of drug dosage for oily wastewater. The oily wastewater real-time treatment monitoring effect characteristic value is compared with the oily wastewater medication dosage adjustment plan corresponding to each oily wastewater real-time treatment monitoring effect characteristic value stored in the database to obtain the oily wastewater medication dosage adjustment plan corresponding to the oily wastewater real-time treatment monitoring effect characteristic value.

8. According to claim 7, an intelligent medication control system based on oily wastewater composition is characterized by: The specific analysis process of the oily wastewater real-time treatment monitoring effect characteristic value is as follows: Wherein, ω is the monitoring effect characteristic value of oily wastewater real-time treatment, sz is the real-time suspended impurity content of oily wastewater real-time treatment, sh is the real-time chemical oxygen demand of oily wastewater real-time treatment, ss is the real-time biochemical oxygen demand of oily wastewater real-time treatment, ε1 is the compensation factor of the real-time suspended impurity content of oily wastewater real-time treatment, ε2 is the compensation factor of the real-time chemical oxygen demand of oily wastewater real-time treatment, and ε3 is the compensation factor of the real-time biochemical oxygen demand of oily wastewater real-time treatment.

9. According to claim 1, an intelligent medication control system based on oily wastewater composition is characterized by: The analysis of the components discharged after the oily wastewater treatment is carried out, and the specific analysis process is as follows: Obtain a dataset of components discharged after oily wastewater treatment. Components discharged after oily wastewater treatment include ammonia nitrogen content, total coliform content, polycyclic aromatic hydrocarbons content, and heavy metal content after oily wastewater treatment. Based on the acquired dataset of emission components of oily wastewater after treatment, the ammonia nitrogen content, total coliform content, polycyclic aromatic hydrocarbons content and heavy metal content of oily wastewater after treatment are stored as designated labels, and the designated labels are compared with the characteristic values ​​of emission components of oily wastewater after treatment corresponding to each designated label stored in the database to obtain the characteristic values ​​of emission components of oily wastewater after treatment corresponding to the designated labels. The characteristic values ​​of emission components of oily wastewater after treatment are used as the analysis basis for judging whether the treatment results of oily wastewater are qualified.

10. The intelligent medication control system based on oily wastewater composition according to claim 9 is characterized in that: The specific analysis process for judging whether the oily wastewater treatment result is qualified is as follows: Compare the characteristic values ​​of the components discharged after the treatment of the oily wastewater with the reference characteristic values ​​of the components discharged after the treatment of the oily wastewater stored in the database; If the characteristic value of the component discharged after the treatment of oily wastewater is higher than or equal to the reference characteristic value of the component discharged after the treatment of oily wastewater, the oily wastewater treatment result corresponding to the characteristic value of the component discharged after the treatment of oily wastewater is qualified; If the characteristic value of the component discharged after oily wastewater treatment is lower than the reference characteristic value of the component discharged after oily wastewater treatment, the oily wastewater treatment result corresponding to the characteristic value of the component discharged after oily wastewater treatment is unqualified.

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