Intelligent carbon source dosing control system and method adopting double-model control mode

Abstract

The invention discloses an intelligent carbon source dosing control system and method adopting a double-model control mode, and belongs to the technical field of sewage treatment. The method comprises the following steps: step 1, acquiring real-time online data of a sewage treatment plant and running state data of related instrumentation equipment; 2, judging whether the real-time online data and the running state of the corresponding instrument equipment are normal or not; 3, analyzing real-time online data of the biological tank, the deep denitrification unit and total effluent, and starting intelligent carbon source dosing control mode selection according to a treatment result; 4, selecting a total nitrogen control mode or a nitrate nitrogen control mode, and calculating the carbon source dosage of the biological tank and the deep denitrification unit; and 5, respectively adding a carbon source into the biological tank and the deep denitrification unit. According to the invention, a double-model architecture for respectively controlling nitrate nitrogen and total nitrogen is constructed, so that the problem of abnormity caused by a single control mode is solved, and the purpose of timely and accurately adding a carbon source can be achieved.

Description

Technical Field

[0001] This invention relates to an intelligent carbon source dosing control system and method employing a dual-model control approach, belonging to the field of wastewater treatment technology. Background Technology

[0002] With the increasing demands for refined management in my country's water industry, intelligent control technology has been widely applied in wastewater treatment plants for precise control of chemical dosing and aeration. Intelligent control has become a crucial development direction for the transformation, upgrading, and business expansion of my country's traditional water sector. Current intelligent control technologies in wastewater treatment plants mainly include intelligent chemical dosing control, intelligent aeration control, intelligent reflux control, and intelligent sludge age control. Intelligent chemical dosing control, in particular, includes common precise dosing control methods for chemicals used in wastewater treatment plants, such as intelligent carbon source dosing, intelligent phosphorus removal dosing, and intelligent disinfection dosing.

[0003] In most wastewater treatment plant intelligent carbon source dosing control system applications, the control data mainly include the total nitrogen concentration in the wastewater influent, the influent COD concentration, the nitrate nitrogen concentration in the biological treatment tank, the nitrate nitrogen or total nitrogen concentration in the influent and effluent of the advanced denitrification unit, and the total nitrogen concentration in the wastewater treatment plant effluent. However, online total nitrogen monitoring instruments have long monitoring cycles due to the digestion process and require high-quality water. Therefore, they are typically only used for monitoring wastewater influent and effluent. In intermediate treatment units, online nitrate nitrogen monitoring instruments are usually used in conjunction with intelligent carbon source dosing control systems to shorten the monitoring cycle and reduce latency.

[0004] Currently, intelligent carbon source dosing control systems in wastewater treatment plants generally only rely on online total nitrogen or nitrate nitrogen data feedback from influent, effluent, or intermediate treatment processes for control. This means they typically only have a total nitrogen control mode or a single-mode control method for nitrate nitrogen. For example, the published patent "Carbon Source Dosing Equipment and Method (CN 111470628 B)" describes a carbon source dosing device with two separate dosing pipelines, but its carbon source dosing calculation formula still uses a single-model control. This leads to insufficient or excessive carbon source dosing, making it difficult to meet the needs of precise carbon source dosing control. Furthermore, it does not consider the instrument operating status. If the monitoring instruments used in conjunction with the device malfunction or experience data loss, inaccurate data can easily result from instrument abnormalities. Consequently, the corresponding intelligent carbon source dosing control system will not function properly, leading to inaccurate carbon source dosing calculations and failing to meet the needs of refined management in wastewater treatment plants. Summary of the Invention

[0005] In order to solve the problems that the current intelligent carbon source dosing control system only adopts a single-mode regulation method, which is difficult to meet the precise regulation of carbon source dosing, resulting in insufficient or excessive carbon source dosing, and if the monitoring instrument equipment used in combination fails at the same time, it is easy to cause the system to paralyze and stop, making it difficult to meet the requirements of refined management and reduce pollution and carbon emissions, the present invention provides an intelligent carbon source dosing control system and method using a dual-model control method. Because it adopts the "dual-model control" method of simultaneously building models based on nitrate nitrogen and total nitrogen respectively for regulation, monitors both nitrate nitrogen and total nitrogen in the intermediate treatment unit of sewage treatment, and through the dual-model control method, the corresponding carbon source can be accurately dosed, saving the carbon source cost. At the same time, when individual instrument equipment fails, the intelligent carbon source dosing control system still operates normally, increasing the stability of the system.

[0006] The technical solution is as follows: An intelligent carbon source dosing control method using a dual-model control method, which includes the following steps: Step 1, obtain the real-time online data of the sewage treatment plant and the operation status data of relevant instrument equipment. The real-time online data mainly includes the total nitrogen and flow data of the total influent and total effluent of the sewage treatment plant, the nitrate nitrogen data of the biological pool, and the nitrate nitrogen data of the advanced denitrification unit. Step 2, judge whether it is within the corresponding water quality index fluctuation range according to the real-time online data in Step 1, and whether the operation status of the corresponding instrument equipment is normal, and push an alarm for data and instrument anomalies. Step 3, analyze the real-time online data of the biological pool, the advanced denitrification unit and the total effluent, and start the selection of the intelligent carbon source dosing control mode according to the processing results. Step 4, the intelligent carbon source dosing system selects the total nitrogen control mode or the nitrate nitrogen control mode according to the result of Step 3 and calculates the carbon source dosing amounts of the biological pool and the advanced denitrification unit. Step 5, the intelligent carbon source dosing system performs carbon source dosing to the biological pool and the advanced denitrification unit respectively according to the calculation results of Step 4.

[0007] Further, in Step 1, the real-time online data also includes the real-time data of ORP, DO, and water temperature of the sewage treatment plant.

[0008] Further, in Step 2, define the measured value of the real-time online data as CIj, and the fluctuation range of each water quality index is CIm ~ CIn. Where I represents the total nitrogen and flow of the total influent and total effluent of the sewage treatment plant, the nitrate nitrogen of the biochemical pool, and the nitrate nitrogen of the advanced denitrification unit, j is the measured value of each index, and CIm and CIn respectively represent the lower and upper limits of the fluctuation range of the I index. If CIm < CIj < CIn, then each water quality index is within the normal range.

[0009] Further, in step 2, when CIj < CIm or CIj > CIn, the water quality index data is abnormal. Combine the operating status of the corresponding on-line monitoring instrument to determine the cause of the abnormality and trigger an alarm prompt.

[0010] Further, in step 3, compare the total nitrogen concentration TN of the total effluent ef with the target control value TN of the total nitrogen in the total effluent c and the total nitrogen discharge standard TN0, and at the same time compare the nitrate nitrogen concentration NO in the effluent of the biological pond or the advanced denitrification unit ef with the target control value NO of the nitrate nitrogen in the effluent c for comparative analysis: When TN c < TN ef < TN0 and NO ef < NO c , then select to automatically execute the total nitrogen control mode; When TN c < TN ef < TN0 and NO ef > NO c , then select to automatically execute the nitrate nitrogen control mode; When TN ef < (TN c - 2), NO ef > NO c or NO ef < NO c , then select to automatically execute the total nitrogen control mode.

[0011] Further, in step 3, analyze and judge the status of the on-line monitoring instrument: If the operating status of the nitrate nitrogen on-line monitoring instrument is calibration, failure or stop, the subsequent model calculation automatically executes the total nitrogen control mode; If the operating status of the total nitrogen on-line monitoring instrument is calibration, failure or stop, the subsequent model calculation automatically adopts the nitrate nitrogen control mode.

[0012] Further, in step 4, Calculate the carbon source dosage in the total nitrogen control mode: Y1 = L × (NO p + TN ef - TN c ) × Lx × Q × 1000 / Ly / N, Where: NO p = Q c × Ly × N / L / Lx / Q / 1000, Calculate the carbon source dosage in the nitrate nitrogen control mode: Y2 = L × (NO ef- NO c +TN ef - TN c )×Lx×Q×1000 / Ly / N, In the formula: Lx = -0.1624×T+9, T: Water temperature, °C; Y1: Carbon source dosage calculated under total nitrogen control mode, L / h; Y2: Carbon source dosage calculated under nitrate nitrogen control mode, L / h; L: Carbon source dosing coefficient; Q: Influent flow rate of biological tank or deep denitrification unit, m³ / h; Ly: COD equivalent of carbon source, mg / L; N: Number of wastewater treatment process operating groups; NO p Q: The concentration of removable nitrate nitrogen is known, in mg / L; c Actual carbon source dosage, L / h; TN ef Total nitrogen concentration in effluent, mg / L; TN c Total nitrogen in effluent, target control value, mg / L; NO ef : Nitrate nitrogen concentration in the effluent from the biological treatment tank or advanced denitrification unit, mg / L; NO c : Target control value for nitrate nitrogen in effluent, mg / L.

[0013] An intelligent carbon source control system employing a dual-model control approach, based on the aforementioned intelligent carbon source control method, comprises a data acquisition module, a data management module, an intelligent control module, a carbon source dosing module, and a user module. The carbon source dosing module includes a total nitrogen dosing unit and a nitrate nitrogen dosing unit. The data acquisition module is connected to the control module via the data management module. The carbon source dosing module selects its corresponding dosing unit to add carbon source to the biological tank or deep denitrification unit. The user module receives abnormal data and issues alarms.

[0014] Furthermore, the data acquisition module includes total nitrogen monitoring of the total influent of the wastewater treatment plant, flow monitoring, total nitrogen monitoring of the total effluent, nitrate nitrogen monitoring of the biological tank, and nitrate nitrogen monitoring of the deep denitrification unit.

[0015] The beneficial effects of this invention are: The intelligent carbon source control method constructs a dual-model architecture that controls nitrate nitrogen and total nitrogen separately. By analyzing real-time online monitoring data of total nitrogen in the wastewater treatment plant's influent and effluent, as well as nitrate nitrogen in the biological tank and deep denitrification unit, the method executes either total nitrogen control mode or nitrate nitrogen control mode as needed to add carbon source to the biological tank and filter. This avoids the inconvenience caused by the shutdown of the intelligent carbon source dosing control system due to data abnormalities or instrument failures in a single control mode (only nitrate nitrogen or total nitrogen control mode), while achieving timely and accurate carbon source dosing, saving carbon source costs, and greatly improving its applicability and flexibility. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a process flow diagram of the intelligent carbon source dosing control system of the present invention; Figure 2 This is a schematic diagram of the intelligent carbon source dosing control system according to Embodiment 1 of the present invention; Figure 3 This is a flowchart of the steps of the intelligent carbon source dosing control method in Embodiment 2 of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.

[0019] like Figure 1 As shown, the main treatment processes of municipal wastewater treatment plants that add carbon sources include, but are not limited to: The system consists of a biological reactor primarily for nitrogen and phosphorus removal, a secondary sedimentation tank for sludge-water separation, and a deep-bed denitrification filter for advanced nitrogen removal. Chemical dosing points include the anoxic tank within the biological reactor and the influent to the deep-bed denitrification filter, corresponding to... Figure 2 The injection points (a) and (b) are shown in the diagram.

[0020] Taking sodium acetate as a carbon source as an example, the carbon source addition point is... Figure 1 Either or a combination of the two injection points (a) and (b).

[0021] Example 1 A smart carbon source control system employing a dual-model control mode, see [link / reference]. Figure 2 The system includes: a data acquisition module, a data management module, an intelligent control module, a carbon source dosing module, and a user module.

[0022] The data acquisition module mainly includes a total nitrogen monitoring unit for total influent and total effluent, and a nitrate nitrogen monitoring unit for the biological tank and the deep denitrification unit. In this invention application, the deep denitrification unit can be a denitrifying deep filter, abbreviated as a denitrifying filter. The data acquisition module is respectively used to collect the total nitrogen monitoring data of the total influent and total effluent of the sewage treatment plant, and the nitrate nitrogen monitoring data of the biological tank and the denitrifying filter. The corresponding total nitrogen on-line monitoring instrument and nitrate nitrogen on-line monitoring instrument are adopted, and the operating status of the total nitrogen and nitrate nitrogen on-line monitoring instruments is also monitored and collected synchronously. The operating status of the on-line monitoring instrument includes "running", "fault", "calibration", "stop", which are represented by R, F, C, and S respectively.

[0023] The data collected by the data acquisition module can also include the monitoring of DO, ORP, water temperature, water volume, etc., further meeting the requirements of the intelligent carbon source control system of this invention application for refined regulation and management.

[0024] The data governance module is connected to the data acquisition module and is used to analyze and sort out the collected monitoring data and monitoring operation signals, specifically including the following: Set the measured value of the real-time on-line data as CIj, and the fluctuation range of each water quality index is CIm ~ CIn, where I represents each water quality index such as total nitrogen and nitrate nitrogen; j is the measured value of each index; CIj is the actual detection value of index I; CIm and CIn respectively represent the lower and upper limits of the fluctuation range of index I.

[0025] If CIm < CIj < CIn, the measured index is within the normal range, and the monitoring data is directly transmitted to the intelligent control module for processing.

[0026] If CIj < CIm or CIj > CIn, the index is abnormal. Combine the operation status signal of the monitoring instrument to determine the cause of the data abnormality, and trigger a prompt or alarm. Specifically: If the operating status of the corresponding on-line monitoring instrument is fault (F), calibration (C), stop (S), the abnormal signal is transmitted to the user module for alarm and prompt. For other indicators, such as DO, ORP, water temperature, water volume, the judgment criteria are adopted in a similar manner, which will not be elaborated here.

[0027] After receiving the data from the data governance module, the intelligent control module conducts analysis and judgment, specifically including: Compare the monitored total nitrogen concentration TN of the effluent of the sewage treatment plant ef with the target control value TN of the effluent total nitrogen c and the effluent total nitrogen discharge standard TN0, and then compare the monitored nitrate nitrogen concentration NO of the effluent of the biochemical tank or the denitrifying filter ef with the target control value NO of the effluent nitrate nitrogen c for comparative analysis. When TN c < TNef <TN0, and NO ef <NO c , then the total nitrogen dosing unit of the carbon source dosing module executes the total nitrogen control mode; When TN c <TN ef <TN0, and NO ef >NO c , then the nitrate nitrogen dosing unit of the carbon source dosing module executes the nitrate nitrogen control mode; When TN ef <(TN c - 2), NO ef >NO c Or NO ef <NO c , then the total nitrogen dosing unit of the selected carbon source dosing module executes the total nitrogen control mode; When the operating status of the nitrate nitrogen online monitoring instrument is an abnormal operating status of "calibration", "fault" or "stop", then the total nitrogen dosing unit of the carbon source dosing module executes the total nitrogen control mode; When the operating status of the total nitrogen online monitoring instrument is an abnormal operating status of "calibration", "fault" or "stop", then the nitrate nitrogen dosing unit of the carbon source dosing module executes the nitrate nitrogen control mode.

[0028] The carbon source dosing module includes a total nitrogen dosing unit and a nitrate nitrogen dosing unit. The required carbon source dosage is calculated through the total nitrogen dosing unit and the nitrate nitrogen dosing unit, and the carbon source dosing in the total nitrogen control mode or the carbon source dosing in the nitrate nitrogen control mode is realized respectively, where the carbon source dosing is executed by a carbon source dosing pump.

[0029] Calculation of the carbon source dosage in the total nitrogen control mode: Y1 = L×(NO p + TN ef - TN<- c )×Lx×Q×1000 / Ly / N, Where: NO p = Q c ×Ly×N / L / Lx / Q / 1000, Calculation of the carbon source dosage in the nitrate nitrogen control mode: Y2 = L×(NO ef - NO c + TN ef - TN c )×Lx×Q×1000 / Ly / N, In the formula: Lx = -0.1624×T + 9, <00002Where, T: water temperature, °C; Y1: carbon source dosage calculated under total nitrogen control mode, L / h; Y2: carbon source dosage calculated under nitrate nitrogen control mode, L / h; L: carbon source addition coefficient; Q: influent flow rate of biological tank or denitrification filter, m³ / h; Ly: COD equivalent of carbon source, mg / L; N: number of wastewater treatment process operating groups; NO p Q: The concentration of removable nitrate nitrogen is known, in mg / L; c Actual carbon source dosage, L / h; TN ef Total nitrogen concentration in effluent, mg / L; TN c Target control values ​​for total nitrogen in effluent, mg / L; NO ef : Nitrate nitrogen concentration in the effluent from the biological treatment tank or denitrification filter, mg / L; NO c : Target control value for nitrate nitrogen in effluent, mg / L.

[0030] The user module comprises three functional modules: alarm notification, parameter configuration, and data overview. The alarm notification module displays alerts or alarm messages based on abnormal feedback data from the data management module, reminding staff to pay attention to unusual situations. The parameter setting module allows for easy adjustment of key control parameters of the model through simple human-computer interaction, such as the target control values ​​for effluent nitrate nitrogen and total nitrogen, facilitating wastewater treatment plant operations and maintenance personnel to adjust model configuration parameters according to actual conditions. The data overview module performs real-time statistical analysis on the acquired data, including comparative analysis of measured water quality values ​​and target values, analysis of carbon source chemical consumption per ton of water, and analysis of total nitrogen and carbon source consumption per unit, helping wastewater treatment plant operations and maintenance personnel intuitively understand the control effect of the intelligent carbon source dosing control system and reducing the workload of data analysis.

[0031] Example 2 A smart carbon source control method based on a dual-model control approach includes the following steps: Step 1: Collect real-time online data. The system acquires real-time online data from the wastewater treatment plant and the operational status data of related instruments and equipment. This real-time online data includes total nitrogen and flow rate of the influent and effluent of the wastewater treatment plant, nitrate nitrogen in the biological treatment tank, ORP, DO, water temperature, nitrate nitrogen in the denitrification filter, and the operational status of related instruments and equipment. The operational status of related instruments and equipment refers to the "calibration", "fault", "running" and "stopping" status of the corresponding online nitrate nitrogen monitor and online total nitrogen monitor.

[0032] Step 2: Analyze the collected online monitoring data and operational status data. Set the measured value of real-time online data as CIj, and the fluctuation range of each water quality index is CIm ~ CIn, where I represents each water quality index such as total nitrogen and nitrate nitrogen; j is the measured value of each index; CIj is the actual detection value of index I; CIm and CIn respectively represent the lower and upper limits of the fluctuation range of index I.

[0033] Step 21, if CIm < CIj < CIn, the measured index is within the normal range, and the monitoring data is directly transmitted to the control module for processing.

[0034] Step 22, if CIj < CIm or CIj > Cin, the index is abnormal. Combine the operation status signal of the monitoring instrument to determine the cause of the data abnormality, and trigger a prompt or alarm. Specifically: if the operation status of the corresponding online monitoring instrument is any one of failure (F), calibration (C), and stop (S), the abnormal signal is transmitted to the next program step.

[0035] Step 3, judge the real-time online data. Compare and analyze the total nitrogen concentration TN of the effluent from the sewage treatment plant being monitored ef with the total effluent total nitrogen target control value TN c and the total nitrogen discharge standard TN0 of the effluent. Then compare and analyze the nitrate nitrogen concentration NO of the effluent from the biological pool or denitrification filter being monitored ef with the effluent nitrate nitrogen target control value NO c : Step 31, when TN c < TN ef < TN0, and NO ef < NO c , the total nitrogen dosing unit of the carbon source dosing module executes the total nitrogen control mode; Step 32, when TN c < TN ef < TN0, and NO ef > NO c , the nitrate nitrogen dosing unit of the carbon source dosing module executes the nitrate nitrogen control mode; Step 33, when TN ef < (TN c - 2), NO ef [[]]> NO c or NO ef < NO c , then the total nitrogen dosing unit of the carbon source dosing module executes the total nitrogen control mode.

[0036] Step 34, when the operation status of the corresponding nitrate nitrogen online monitoring instrument is an abnormal operation status such as "calibration", "fault", or "stop", then the total nitrogen dosing unit of the carbon source dosing module executes the total nitrogen control mode; Step 35: When the corresponding total nitrogen online monitoring instrument is in an abnormal operating state of "calibration", "fault" or "stop", the nitrate nitrogen dosing unit of the carbon source dosing module will execute the nitrate nitrogen control mode.

[0037] Step 4: Select either the total nitrogen control mode or the nitrate nitrogen control mode to calculate the carbon source dosage, and then add carbon source to the biological tank and the denitrification filter according to the judgment results in Step 3.

[0038] Step 41, Calculate the carbon source dosage using the total nitrogen control mode: Y1=L×(NO p +TN ef - TN c )×Lx×Q×1000 / Ly / N, Among them: NO p = Q c ×Ly×N / L / Lx / Q / 1000, Step 42, Calculate the carbon source dosage using the nitrate nitrogen control mode: Y2=L×(NO ef - NO c +TN ef - TN c )×Lx×Q×1000 / Ly / N, In the formula: Lx = -0.1624×T+9, T: Water temperature, °C; Y1: Carbon source dosage calculated under total nitrogen control mode, L / h; Y2: Carbon source dosage calculated under nitrate nitrogen control mode, L / h; L: Carbon source dosing coefficient; Q: Influent flow rate of biological tank or filter, m³ / h; Ly: COD equivalent of carbon source, mg / L; N: Number of wastewater treatment process operating groups; NO p Q: The concentration of removable nitrate nitrogen is known, in mg / L; c Actual carbon source dosage, L / h; TN ef Total nitrogen concentration (TN) in the effluent from biological treatment ponds or denitrification filters, in mg / L. c Target control values ​​for total nitrogen in effluent, mg / L; NO ef : Nitrate nitrogen concentration in the effluent from the biological treatment tank or denitrification filter, mg / L; NO c : Target control value for nitrate nitrogen in effluent, mg / L.

[0039] This invention application employs an intelligent carbon source dosing control system and method using a dual-model control approach, which has the following beneficial effects: 1. Improved the applicability and flexibility of the intelligent carbon source dosing control system.

[0040] The intelligent carbon source dosing control system simultaneously constructs a "dual-model" architecture, controlling nitrate nitrogen and total nitrogen separately. By analyzing and judging whether online data is abnormal and whether the online monitoring instruments are operating normally, the control mode of the intelligent carbon source dosing system is changed. This avoids the inconvenience caused by the intelligent carbon source dosing control system being shut down due to data abnormalities or instrument failures in a single control mode (only nitrate nitrogen or total nitrogen control mode), and also solves the problem of lag in manual switching. At the same time, it can ensure accurate carbon source dosing, save carbon source costs, and greatly improve its applicability and flexibility.

[0041] 2. Promptly remind staff to handle any abnormal issues.

[0042] Data accuracy is a key factor affecting the control effect of the intelligent carbon source dosing control system. The alarm and early warning function in the user module of the intelligent carbon source dosing control system can promptly remind the staff of abnormal operating status of the online monitoring instruments (data abnormality, instrument failure, etc.), which helps the staff to discover problems and make corrections in time. Moreover, the automatic switching of control mode provides a guarantee for process operation. The staff do not need to worry about the intelligent control system shutdown or untimely carbon source dosing caused by instrument failure.

[0043] 3. A simple operation page for model modification is provided.

[0044] For non-IT or AI professionals, when the intelligent carbon source dosing control system deviates from actual operating conditions, they need to rely on professionals to modify the control parameters in the model, as they cannot adjust the key parameters in the model according to the actual operation of the wastewater treatment process. This can easily lead to untimely adjustments to the intelligent carbon source dosing control system model, resulting in significant deviations between the carbon source dosing dosage and the actual requirements. The parameter configuration function in the user module allows for simple digital adjustments to the key parameters of the intelligent carbon source dosing control system model, making it easier for staff to operate and respond promptly to emergencies.

[0045] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An intelligent carbon source dosing control method using a dual model control method, characterized in that, It comprises the following steps: Step 1, obtaining real-time online data of the sewage treatment plant and operation state data of related instrument equipment, the real-time online data mainly including total nitrogen, flow data of total influent and total effluent of the sewage treatment plant, nitrate nitrogen data of the biological pool, and nitrate nitrogen data of the advanced denitrification unit; Step 2, judging whether the corresponding water quality index fluctuation range is within the corresponding water quality index fluctuation range according to the real-time online data of step 1, and whether the operation state of the corresponding instrument equipment is normal, and pushing an alarm for data and instrument abnormal conditions; Step 3, analyzing real-time online data of the biological pool, the advanced denitrification unit and the total effluent, and starting intelligent carbon source dosing control mode selection according to the processing result; Step 4, the intelligent carbon source dosing system selects total nitrogen control mode or nitrate nitrogen control mode and calculates carbon source dosing amount of the biological pool and the advanced denitrification unit according to the result of step 3; Step 5, the intelligent carbon source dosing system executes carbon source dosing to the biological pool and the advanced denitrification unit respectively according to the calculation result of step 4.

2. The intelligent carbon source dosing control method employing a dual model control mode according to claim 1, characterized in that, In step 1, the real-time online data further includes real-time data of ORP, DO and water temperature of the sewage treatment plant.

3. The intelligent carbon source dosing control method employing a dual model control mode according to claim 2, characterized in that, In step 2, the measured value of the real-time online data is defined as CIj, and the fluctuation range of each water quality index is CIm~CIn, wherein I represents total nitrogen, flow of total influent and total effluent of the sewage treatment plant, nitrate nitrogen of the biochemical pool, and nitrate nitrogen of the advanced denitrification unit, j is the measured value of each index, CIm and CIn respectively represent the lower limit and the upper limit of the fluctuation range of I index, and if CIm < CIj < CIn, each water quality index is within the normal range.

4. The intelligent carbon source dosing control method employing a dual model control mode according to claim 3, characterized in that, In step 2, when CIj < CIm or CIj > CIn, the water quality index data is abnormal, the abnormal reason is determined in combination with the running state of the corresponding online monitoring instrument, and an alarm prompt is sent.

5. The intelligent carbon source dosing control method employing a dual model control mode according to claim 1, characterized in that, In Step 3, the total effluent total nitrogen concentration TN ef is compared with the total effluent total nitrogen target control value TN c , and the total nitrogen discharge standard TN0, and the effluent nitrate nitrogen concentration NO ef of the biological pond or the advanced denitrification unit is compared with the effluent nitrate nitrogen target control value NO c . Comparative analysis: When TN c <TN ef < TN0, and NO ef < NO c , the total nitrogen control mode is selected to be automatically executed; When TN c <TN ef < TN0, and NO ef > NO c , then select to automatically perform the nitrate nitrogen control mode; When TN ef < (TN c - 2), NO ef > NO c or NO ef < NO c , the total nitrogen control mode is selected to be automatically executed.

6. The intelligent carbon source dosing control method employing a dual model control mode according to claim 1, characterized in that, In step 3, the state of the online monitoring instrument is analyzed and judged: If the running state of the nitrate nitrogen online monitoring instrument is calibration, fault or stop, the subsequent model calculation automatically executes total nitrogen control mode; If the running state of the total nitrogen online monitoring instrument is calibration, fault or stop, the subsequent model calculation automatically adopts nitrate nitrogen control mode.

7. The intelligent carbon source dosing control method employing a dual model control mode according to claim 1, characterized in that, In step 4, The total nitrogen control mode calculates the carbon source dosing amount: Y1 = L x (NO p + TN ef - TN c ) x Lx x Q x 1000 / Ly / N, Wherein: NO p = Q c ×Ly×N / L / Lx / Q / 1000, The nitrate nitrogen control mode calculates the carbon source dosing amount: Y2 = L x (NO ef - NO c + TN ef - TN c ) x L x Q x 1000 / Ly / N, In the formula: Lx = -0.1624 × T + 9, T: water temperature, °C; Y1: carbon source dosage calculated under total nitrogen control mode, L / h; Y2: carbon source dosage calculated under nitrate nitrogen control mode, L / h; L: carbon source dosage coefficient; Q: influent flow rate of biological tank or deep denitrification unit, m3 / h; Ly: COD equivalent of carbon source, mg / L; N: number of operation groups of wastewater treatment process; NO p : known concentration of removable nitrate nitrogen, mg / L; Q c : actual carbon source dosage, L / h; TN ef : total effluent total nitrogen concentration, mg / L; TN c : total effluent total nitrogen target control value, mg / L; NO ef : effluent nitrate nitrogen concentration of biological tank or deep denitrification unit, mg / L; NO c : effluent nitrate nitrogen target control value, mg / L.

8. An intelligent carbon source control system using a double model control method, based on the intelligent carbon source dosing control method using a double model control method according to any one of claims 1 to 7, characterized in that, The system comprises a data acquisition module, a data management module, an intelligent control module, a carbon source dosing module and a user module, wherein the carbon source dosing module comprises a total nitrogen dosing unit and a nitrate nitrogen dosing unit, the data acquisition module is connected with the control module through the data management module, the carbon source dosing module selects its corresponding dosing unit to dose carbon source to the biological pool or the advanced denitrification unit, and the user module is used for accepting abnormal data and giving an alarm.

9. The intelligent carbon source dosing control system employing a dual model control mode according to claim 8, characterized in that, The data acquisition module comprises total nitrogen monitoring, flow monitoring of total influent and total effluent total effluent total nitrogen monitoring, nitrate nitrogen of the biological pool and nitrate nitrogen monitoring of the advanced denitrification unit.

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