A control method for activated carbon filter operation

Abstract

The present application relates to filter operation control technical field, specifically for a kind of control method for activated carbon filter operation, comprising the following steps: real-time monitoring water inflow and water quality index, when detecting abnormal, automatically reduce filter speed, when removal rate is stable and pressure difference data is smooth, send stable completion instruction;After receiving stable instruction, the rolling average removal rate of water quality parameter is calculated, when it is lower than threshold, state flag bit is set.The present application realizes the precise closed-loop control of filtering and flushing process by the intelligent control of the cooperative work of monitoring layer, execution layer and decision layer, can dynamically adjust operating parameter based on real-time water quality data, effectively early warning adsorption breakthrough risk and execute hierarchical response, while ensuring that effluent water quality is stable and up to standard, significantly prolong the service life of activated carbon, reduce the number of invalid flushing and energy consumption, improve the economy and reliability of overall operation, solve the deficiency of traditional control scheme.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of filter operation control, in particular to a control method for operation of an activated carbon filter. BACKGROUND

[0002] A filter is a key structure for water treatment process, which is internally filled with filter media to remove impurities such as suspended solids, organic matter, microorganisms and the like in water through physical interception, adsorption and biodegradation, so as to purify the water quality. The activated carbon filter is a kind of advanced treatment filter which is filled with activated carbon filter material with large specific surface area and strong adsorption capacity on the basis of the traditional filter. It can not only remove turbidity through the mechanical screening action of the filter layer, but also effectively remove dissolved organic matter, odor substances and part of heavy metal ions in water by using the excellent adsorption performance of activated carbon, and has the function of biodegradation after the formation of biological membrane on the surface of the filter material.

[0003] Generally, the conventional filter operation control method mainly relies on manual regular inspection and offline water quality detection, and sets fixed filtration period and backwashing intensity according to experience. This control method cannot respond in real time to adapt to water quality fluctuations, often leading to unstable filtration effect or un-timely backwashing to cause filter layer compaction, and excessive backwashing also wastes water and electricity resources and damages the biological membrane on the surface of the filter material, resulting in low overall operation efficiency and poor economy.

[0004] Therefore, the present application provides a control method for operation of an activated carbon filter to solve the above technical problems. SUMMARY

[0005] The present application aims to provide a control method for operation of an activated carbon filter to solve the problems in the background art.

[0006] To achieve the above-mentioned purpose, the present application provides the following technical solution:

[0007] The present application provides a control method for operation of an activated carbon filter, which is based on a monitoring layer, an execution layer and a decision layer architecture. The data of the monitoring layer is uploaded to the decision layer, the decision layer analyzes and issues control instructions to the execution layer to form a closed-loop control. The monitoring layer collects core parameters of filter operation through sensors. The execution layer receives instructions and performs specific operations through valves and controllers. The decision layer performs local real-time control through PLC, advanced decision-making through SCADA server integrated intelligent algorithm, and whole plant coordination through DCS, including the following steps:

[0008] S1. Real-time monitoring of water inflow and water quality indicators, automatically reducing the filtration rate when detecting abnormalities, and sending a stable completion instruction when the removal rate is stable and the pressure difference data is stable.

[0009] S2. After receiving the stability instruction, the rolling average removal rate of the water quality parameter is calculated, a state flag is set when it is lower than the threshold value, the load value is calculated based on historical data and previous detection data, and a risk warning is generated if it exceeds the set threshold value;

[0010] S3. After issuing the warning, activate the hierarchical protocol, monitor the water quality data in real time through the controller, and take corresponding measures such as increasing the filtration speed or starting the standby filter according to the different levels of water quality conditions;

[0011] S4. Continuously monitor the differential pressure threshold as the main condition and monitor the turbidity change rate as the auxiliary condition through the controller, logically operate the conditions, and determine the flushing mode combined with the issued biological activity marker to finally generate a flushing trigger instruction;

[0012] S5. After issuing the instruction, execute air flushing and water flushing in sequence, and dynamically adjust the flushing intensity according to the backwash water turbidity value until the turbidity stabilizes to the standard and the valve is closed;

[0013] S6. After the flushing is completed, control the filtration speed through the controller and start the timer, continuously monitor the water quality and differential pressure, and if the indicators meet the standards, the verification is passed and the controller increases the filtration speed to normal operation;

[0014] S7. Analyze the historical water quality data ratio, and generate optimization instructions according to the ratio results;

[0015] S8. Accumulate historical load data, and when the set capacity is reached, mark the filter as a to-be-checked state, and after the operation and maintenance personnel confirm that the activated carbon is invalid, lock the filter and start the standby filter.

[0016] Preferably, the monitoring layer further comprises a head loss differential pressure transmitter, an inlet flow meter, an outlet turbidity instrument, an inlet ultraviolet absorption instrument, an outlet ultraviolet absorption instrument, and a backwash water turbidity instrument; the head loss differential pressure transmitter is installed between the inlet channel and the outlet channel of the activated carbon filter for continuously monitoring the total differential pressure of the filter layer; the inlet flow meter is installed on the filter inlet main pipe; the outlet turbidity instrument is installed on the filter clean water outlet main pipe; the inlet ultraviolet absorption instrument is installed on the filter inlet main pipe for monitoring the inlet UV254 value; the outlet ultraviolet absorption instrument is installed on the filter clean water outlet main pipe for monitoring the outlet UV254 value; the backwash water turbidity instrument is installed on the backwash wastewater drain pipe;

[0017] The execution layer further comprises a filtration speed regulating valve, a backwash air control valve, a backwash water control valve, and a surface sweeping controller; the filtration speed regulating valve is installed on the filter clean water outlet main pipe; the backwash air control valve is installed on the backwash air source pipeline; the backwash water control valve is installed on the backwash water source pipeline; and the surface sweeping controller is integrated in the filter surface sweeping device.

[0018] The decision layer further comprises a programmable logic controller, a server, and a control module; the programmable logic controller is used to receive the monitoring layer data and control the execution layer device; the server integrates intelligent decision algorithm and coordinates the operation of the filter tank in the whole plant; and the control module is used for data interaction of the filter tank process chain.

[0019] Preferably, the implementation step of step S1 is:

[0020] S11. The water inflow meter and the water inflow ultraviolet absorption instrument installed on the water inflow main pipe of the filter tank continuously send real-time data to the local programmable logic controller;

[0021] S12. If the water inflow instantaneous value exceeds 8.8 m³ / h or the water inflow UV254 value is higher than 5 mg / L for five minutes in succession, the programmable logic controller judges by the built-in logic and immediately outputs a control signal to the pneumatic or electric filter speed regulating valve on the water outflow main pipe to limit the opening degree to 5.6 m / h for operation;

[0022] S13. Meanwhile, the server generates a daily instruction log to prompt the operation and maintenance personnel to manually sample, and after the manual TOC detection data is entered, the server calculates the daily TOC average removal rate;

[0023] S14. When the server confirms that the removal rate fluctuates by less than 5% for three days in succession and the water head loss pressure difference transmitter data is stable, the server sends an instruction to the programmable logic controller of the filter tank that the initial stable stage is completed.

[0024] Preferably, the implementation step of step S2 is:

[0025] S21. After receiving the S1 completion instruction, the programmable logic controller continuously collects the 4-20 mA analog signals of the water inflow and outflow ultraviolet absorption instruments and calculates the rolling average removal rate;

[0026] S22. When the calculation logic of the programmable logic controller judges that the removal rate is lower than 80% for two hours in succession, the programmable logic controller writes a state flag bit into its register:

[0027] S23. Then, the server calls the historical data flow of the water inflow meter in this period of time and performs associated calculation with the daily manual TOC detection data entered into the database in S1 to obtain a real-time adsorption load value;

[0028] S24. If the intelligent algorithm built in the server judges that the calculation value exceeds 200 gTOC / m³·d, the server generates a breakthrough risk warning information and displays it on the central monitoring interface.

[0029] Preferably, the implementation step of step S3 is:

[0030] S31. The server activates its internal hierarchical response protocol module immediately after issuing the S2 alert, which continuously polls the real-time data of the UV254 absorbance meter and the turbidity meter through the programmable logic controller:

[0031] S32. If the server protocol logic determines that the real-time data shows that the UV254 removal rate is maintained between 75% and 80% and the effluent turbidity is stable below 0.3 NTU, the server issues an instruction to the programmable logic controller to control the filter speed regulating valve to increase the filter speed to 6.2 m / h:

[0032] S33. If the server logic determines that the data shows that the UV254 removal rate has dropped to the interval of 70% to 75% or the effluent turbidity exceeds 0.5 NTU, the server sends a start instruction to the programmable logic controller of the standby filter through the control module.

[0033] Preferably, the implementation step of step S4 is:

[0034] S41. The programmable logic controller continuously compares the reading of the water head loss pressure difference transmitter with the threshold value of 1.8 m as the main condition:

[0035] S42. The programmable logic controller simultaneously monitors the reading rate of the effluent turbidity meter, and if its logic determines that the reading has sharply risen from 0.2 NTU within 10 minutes and exceeds 0.5 NTU, this is the auxiliary condition:

[0036] S43. The programmable logic controller performs an OR logic operation on the main and auxiliary conditions, and if the result is true, it is ready to trigger the backwash:

[0037] S44. The server queries its database, and if there is an artificial marker of high biological activity of the filter, it issues an identification of disabling air flushing to the programmable logic controller, and the programmable logic controller finally generates a backwash trigger instruction by synthesizing all conditions.

[0038] Preferably, the implementation step of step S5 is:

[0039] S51. When the programmable logic controller issues the backwash instruction of S4, its digital output module first issues a 120-second pulse signal to the backwash air control valve and maintains the intensity at 15 L / m²·s:

[0040] S52. After the air flushing is completed, the programmable logic controller closes the air control valve and instead issues a signal to the backwash water control valve to start the water flushing with an intensity of 15 L / m²·s for the first 120 seconds:

[0041] S53. The PLC then starts reading the analog input value of the backwash water turbidity meter. Its internal program logic determines if the reading drops below 50 NTU, and if so, automatically adjusts the water flush intensity control signal to 8 L / m2·s for 300 seconds. The PLC only closes the water control valve when it confirms that the backwash water turbidity meter reading is stable below 15 NTU.

[0042] Preferably, the implementation step of step S6 is:

[0043] S61. After the backwash program ends, the PLC immediately controls the filter speed regulating valve to operate the filter at a speed of 4 m / h, and starts an internal 1800-second timer.

[0044] S62. The PLC continuously collects data from the effluent turbidity meter and the pressure differential transmitter. Its verification logic determines if the effluent turbidity is always below 0.4 NTU within 1800 seconds and the pressure differential is below 0.5 m at the end of the timer. If so, the PLC sends a verification pass signal to the server, and then the PLC increases the filter speed to 8 m / h according to the preset program ladder.

[0045] Preferably, the implementation step of step S7 is:

[0046] S71. After the filter resumes normal operation, the optimization algorithm module in the server starts. The optimization algorithm module reads the daily manual detection BOD and TOC data entered by S1 from the database and calculates the historical average ratio:

[0047] S72. If the server determines that the ratio is greater than 0.5, the server generates a suggestion instruction to increase the dissolved oxygen set value and sends it to the pretreatment process unit through the control module:

[0048] S73. If the server determines that the ratio is less than 0.3, the server sends an instruction to the PLC of the filter, requiring it to adjust the filter speed set value to 8.4 m / h.

[0049] Preferably, the implementation step of step S8 is:

[0050] S81. The data management module of the server continuously accumulates all adsorption load values recorded in the S2 warning log, thereby estimating the total adsorption capacity consumption of the activated carbon:

[0051] S82. When the server's calculation logic determines that the cumulative consumption reaches 85% of the preset theoretical capacity, the server automatically marks the filter status as a performance check suggestion in the monitoring interface.

[0052] S83. After the operator receives the prompt, manual sampling detection is carried out, if the detection result confirms that the activated carbon is invalid and the replacement request is input through the man-machine interface, the server will send a locking instruction to the programmable logic controller of the filter tank, and at the same time, send a start-up operation instruction to the standby filter tank through the control module.

[0053] Compared with the prior art, the present application has the following advantages:

[0054] The present application realizes precise closed-loop control of the filtration and flushing process through the intelligent control of the monitoring layer, the execution layer and the decision layer, dynamically adjusts the operation parameters based on real-time water quality data, effectively warns of adsorption breakthrough risk and executes graded response, significantly prolongs the service life of activated carbon while ensuring stable and standard water quality, reduces the number of invalid flushing and energy consumption, improves the economy and reliability of overall operation, and solves the shortcomings of traditional control schemes. BRIEF DESCRIPTION OF DRAWINGS

[0055] Figure 1 The figure is a schematic diagram of the operation framework of the control method for the operation of the activated carbon filter tank of the present application.

[0056] Figure 2 The figure is a flow chart of the control method for the operation of the activated carbon filter tank of the present application. DETAILED DESCRIPTION

[0057] The technical solutions in the embodiments of the present application will be described below in conjunction with the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of the present application.

[0058] Embodiment 1, please refer to Figure 1 The present application proposes a control method for the operation of an activated carbon filter tank, wherein it is necessary to note that the control method for the operation of the activated carbon filter tank is based on the monitoring layer, the execution layer and the decision layer architecture operation, the monitoring layer data is uploaded to the decision layer, the decision layer analyzes and issues control instructions to the execution layer to form a closed-loop control;

[0059] It is also necessary to note that the monitoring layer collects the core parameters of the filter tank operation through sensors:

[0060] The monitoring layer also comprises a water head loss differential pressure transmitter, an inlet water flow meter, an outlet water turbidity meter, an inlet water ultraviolet absorption meter, an outlet water ultraviolet absorption meter, and a backwashing water turbidity meter. The water head loss differential pressure transmitter is installed between the inlet channel and the outlet channel of the activated carbon filter tank, and is used for continuously monitoring the total pressure difference of the filter layer. The inlet water flow meter is installed on the filter tank inlet main pipe. The outlet water turbidity meter is installed on the filter tank clean water outlet main pipe. The inlet water ultraviolet absorption meter is installed on the filter tank inlet main pipe, and is used for monitoring the inlet water UV254 value. The outlet water ultraviolet absorption meter is installed on the filter tank clean water outlet main pipe, and is used for monitoring the outlet water UV254 value. The backwashing water turbidity meter is installed on the backwashing wastewater drainage pipe.

[0061] It should be further explained that the execution layer receives instructions through valves and controllers and performs specific operations:

[0062] The execution layer also comprises a filter speed adjusting valve, a backwashing air control valve, a backwashing water control valve, and a surface sweeping controller. The filter speed adjusting valve is installed on the filter tank clean water outlet main pipe. The backwashing air control valve is installed on the backwashing air source pipeline. The backwashing water control valve is installed on the backwashing water source pipeline. The surface sweeping controller is integrated in the filter tank surface sweeping device.

[0063] It should be further explained that the decision layer performs local real-time control through PLC, advanced decision-making through SCADA server integrated intelligent algorithm, and whole plant coordination through DCS:

[0064] The decision layer also comprises a programmable logic controller, a server, and a control module. The programmable logic controller is used for receiving monitoring layer data and controlling execution layer devices. The server integrates intelligent decision-making algorithms and coordinates the operation of filter tanks in the whole plant. The control module is used for data interaction of the filter tank process chain.

[0065] Based on the above architecture, a control method for the operation of an activated carbon filter tank comprises the following steps:

[0066] S1. Real-time monitoring of inlet water flow and water quality indicators, automatic reduction of filter speed when an anomaly is detected, and sending of a stable completion instruction when the removal rate is stable and the pressure difference data are stable.

[0067] S2. After receiving the stable instruction, the rolling average removal rate of the water quality parameters is calculated, a state flag bit is set when it is lower than a threshold value, the load value is calculated by calling historical data and previous detection data, and a risk warning is generated if the load value exceeds a set threshold value.

[0068] S3. After the warning is issued, a hierarchical protocol is activated, the outlet water quality data are monitored in real time through the controller, and corresponding measures such as increasing the filter speed or starting the standby filter tank are taken according to different degrees of water quality conditions.

[0069] S4. Continuously monitor the pressure difference threshold as the main condition, monitor the turbidity change rate as the auxiliary condition, perform logical operation on the conditions, and determine the flushing mode combined with the issued bioactivity label to finally generate a flushing trigger instruction;

[0070] S5. After issuing the instruction, sequentially execute air flushing and water flushing, and dynamically adjust the flushing intensity according to the backwash water turbidity value until the turbidity is stable and meets the standard, then close the valve;

[0071] S6. After the flushing is completed, control the filtration speed and start the timer through the controller, continuously monitor the water quality and pressure difference, and if the indicators meet the standard, the verification is passed, and the controller increases the filtration speed to normal operation;

[0072] S7. Analyze the historical water quality data ratio, and generate optimization instructions according to the ratio results;

[0073] S8. Accumulate historical load data, and when the set capacity is reached, mark the filter tank as a state to be verified, and after the operation and maintenance personnel confirm that the activated carbon is invalid, lock the filter tank and start the standby filter tank;

[0074] Example 2, please refer to Figure 2 In practical application, a control method for activated carbon filter tank operation is provided, which specifically includes the following steps:

[0075] Step 1. Filter tank start-up and initial stable control:

[0076] Step 11. The water inlet flow meter and water inlet ultraviolet absorption instrument installed on the filter tank inlet pipe continuously send real-time data to the local programmable logic controller;

[0077] Step 12. If the instantaneous value of the water inlet flow exceeds 8.8 m³ / h or the water inlet UV254 value is continuously higher than 5 mg / L for five minutes, the programmable logic controller built-in logic immediately outputs a control signal to the pneumatic or electric filter speed regulating valve on the outlet pipe to limit its opening degree to 5.6 m / h for operation;

[0078] It should be noted that in this step 12, the built-in logic judgment process of the programmable logic controller;

[0079] Periodically executed in the programmable logic controller (PLC), once per second, real-time and rapid response to the water quality;

[0080] a. Data acquisition: the analog input module of the PLC continuously reads real-time data from two sensors;

[0081] Read the instantaneous flow value Q_instant (unit: m³ / h) from the water inlet flow meter;

[0082] Read the instantaneous UV254 value UV_in_instant (unit: mg / L) from the UV254 absorption meter;

[0083] b. Threshold comparison: The internal program of the PLC compares the read instantaneous value with the preset threshold value. The following parameters are set in the PLC:

[0084] The design flow rate Q_design = 8.0 m³ / h, and its 110% is Q_threshold = 8.8 m³ / h;

[0085] The UV254 concentration threshold UV_threshold = 5 mg / L;

[0086] c. Conditional logic judgment: The PLC performs the following "or" logic judgment:

[0087] Condition A: Q_instant > Q_threshold, i.e. the instantaneous flow rate > 8.8 m³ / h;

[0088] Condition B: The state of UV_in_instant > UV_threshold lasts for 300 scanning periods, i.e. continuously for 5 minutes, assuming the scanning period is 1 second, and the instantaneous UV254 > 5 mg / L;

[0089] d. Execute control output: As long as condition A or condition B is true, the digital or analog output module of the PLC will immediately send a control signal to the pneumatic / electric filter speed regulating valve to limit its opening degree to the position corresponding to the design filter speed of 70%, i.e. the target filter speed V_target = 8.0 m / h0.7 = 5.6 m / h;

[0090] e. Data reporting: At the same time, the PLC uploads these abnormal events, actions and real-time data to the supervisory control and data acquisition (SCADA) system server through the network for historical data recording and alarm display;

[0091] Through this step, the rapid response to the drastic changes in the quality of the incoming water is ensured within milliseconds, without waiting for instructions from the upper system, reflecting the rapidity and reliability of the local unit in distributed control;

[0092] Step 13. The server generates a daily instruction log to remind the operation and maintenance personnel to manually sample. After the manual TOC detection data is entered, the server calculates the daily TOC average removal rate;

[0093] Step 14. When the server confirms that the removal rate has fluctuated by less than 5% for three consecutive days and the water head loss pressure difference transmitter data is stable, the server sends an instruction to the programmable logic controller of the filter tank indicating that the initial stable stage is complete;

[0094] Step 2. Adsorption performance online evaluation and early warning:

[0095] Step 21. After receiving the S1 completion instruction, the programmable logic controller continuously collects the 4-20mA analog signal of the influent and effluent ultraviolet absorption instrument and calculates the rolling average removal rate;

[0096] Step 22. When the programmable logic controller's calculation logic determines that this removal rate has been below 80% for two consecutive hours, the programmable logic controller writes a status flag bit to its register:

[0097] Step 23. The server then calls the historical data stream of the influent flow meter in this time period and performs correlation calculations with the daily manual TOC detection data recorded in the database in S1 to obtain the real-time adsorption load value;

[0098] Step 24. If the server's built-in intelligent algorithm determines that this calculated value exceeds 200gTOC / m³·d, the server generates a breakthrough risk warning message and displays it on the central monitoring interface. It is also necessary to note that the specific algorithm flow of the server integrated intelligent decision algorithm is executed by the advanced application module in the SCADA system server every minute, focusing on intelligent analysis and prediction based on historical data trends;

[0099] a. Data preparation and preprocessing;

[0100] The server obtains the daily manually entered effluent TOC values from the long-term stored data in the database in S1 stage, and calculates a stable baseline TOC removal rate TOC_removal_base;

[0101] The server obtains the readings of the influent and effluent ultraviolet absorption instruments in real time through the data interface, and calculates the UV254 removal rate UV_removal_current every minute;

[0102] b. Rolling average calculation: the server maintains a first-in-first-out queue with a length of 15 to store the UV_removal_current values of the last 15 minutes, and continuously calculates the rolling average value UV_removal_rolling_avg of this queue;

[0103] c. Early warning state trigger judgment;

[0104] The algorithm checks whether UV_removal_rolling_avg has been below the preset threshold UV_threshold_low (80%) for 120 consecutive calculation periods (i.e. 2 hours);

[0105] If the condition is met, the algorithm marks the state of the filter in the database as "focus", and automatically increases the frequency of manual TOC detection data entry from 24 hours to 1 hour;

[0106] d. Adsorption load calculation and breakthrough risk judgment;

[0107] d1. In the "focus" state, the algorithm starts the adsorption load calculation subroutine;

[0108] d2. The subroutine obtains the historical data of the influent flow meter in the past 2 hours from the PLC, and calculates the average flow Q_avg;

[0109] d3. Estimate the current average TOC difference ΔTOC_est from the latest manual influent TOC and effluent TOC entry values in the database;

[0110] d4. Substitute the adsorption load formula: Loading_adsorption=ΔTOC_estQ_avg (unit: gTOC / h);

[0111] d5. Convert the hourly load to daily load, and then convert it according to the volume of activated carbon to obtain the final index Loading_final (unit: gTOC / m³·d);

[0112] e. Decision and instruction issuance;

[0113] The algorithm compares Loading_final with the breakthrough risk threshold Loading_threshold (200gTOC / m³·d);

[0114] If Loading_finalLoading_threshold, the intelligent decision algorithm generates a first-level alarm "adsorption breakthrough risk warning" on the SCADA central monitoring interface, and automatically pushes the alarm information to the workstations and mobile terminals of relevant personnel through the water plant distributed control system (DCS);

[0115] This warning state also serves as a prerequisite condition for triggering the S3 hierarchical response strategy;

[0116] Through this step, the data integration, trend analysis and prediction and warning capability of the central decision layer, based on the reliable data provided by the local PLC, performs more complex and time-consuming calculations and logical judgments, thereby realizing global optimization;

[0117] Step 3. Hierarchical response strategy execution:

[0118] Step 31. The server activates its internal hierarchical response protocol module immediately after sending out the S2 alert, which continuously polls the real-time data of the effluent UV254absorption instrument and the effluent turbidity instrument through the programmable logic controller:

[0119] Step 32. If the server protocol logic determines that the real-time data shows that the UV254removal rate is maintained between 75% and 80% and the effluent turbidity is stable below 0.3 NTU, the server issues an instruction to the programmable logic controller to control the filter speed regulating valve to increase the filter speed to 6.2 m / h:

[0120] Step 33. If the server logic determines that the data shows that the UV254removal rate has dropped to the interval of 70% to 75% or the effluent turbidity exceeds 0.5 NTU, the server sends a start instruction to the programmable logic controller of the standby filter through the control module;

[0121] Step 4. Intelligent trigger judgment for backwashing:

[0122] Step 41. The programmable logic controller continuously compares the reading of the water head loss pressure difference transmitter with the threshold value of 1.8 m as the main condition:

[0123] Step 42. The programmable logic controller simultaneously monitors the reading rate of the effluent turbidity instrument, and if its logic determines that the reading has rapidly increased from 0.2 NTU within 10 minutes and exceeds 0.5 NTU, this is the auxiliary condition:

[0124] Step 43. The programmable logic controller performs an OR logic operation on the main and auxiliary conditions, and if the result is true, it prepares to trigger the flushing:

[0125] Step 44. The server queries its database, and if there is an artificial marker indicating high biological activity for this filter, it issues an identifier to disable air flushing to the programmable logic controller, and the programmable logic controller finally generates a flushing trigger instruction by synthesizing all conditions:

[0126] Step 5. Optimization of backwashing process execution:

[0127] Step 51. When the programmable logic controller issues the S4 flushing instruction, its digital output module first sends a 120-second pulse signal to the backwashing air control valve and maintains the intensity at 15 L / m²·s:

[0128] Step 52. After the air flushing is completed, the programmable logic controller closes the air control valve and sends a signal to the backwashing water control valve to start water flushing with an intensity of 15 L / m²·s for the first 120 seconds:

[0129] Step 53. The PLC then starts reading the analog input value of the backwash water turbidity meter. If the reading drops below 50 NTU, the internal program logic automatically adjusts the water flushing intensity control signal to 8 L / m²·s and continues for 300 seconds. The PLC only closes the water control valve when it confirms that the backwash water turbidity meter reading is stable below 15 NTU.

[0130] Step 6. Post-flushing recovery and performance verification:

[0131] Step 61. After the backwash program ends, the PLC immediately controls the filter speed regulating valve to operate the filter at a speed of 4 m / h and starts a built-in 1800-second timer:

[0132] Step 62. The PLC continuously collects data from the effluent turbidity meter and the pressure difference transmitter. If the effluent turbidity is consistently below 0.4 NTU within 1800 seconds and the pressure difference is below 0.5 m at the end of the timer, the PLC sends a verification pass signal to the server. Then, the PLC increases the filter speed to 8 m / h according to the preset program ladder:

[0133] Step 7. Dynamic optimization of operation mode:

[0134] Step 71. After the filter resumes normal operation, the optimization algorithm module in the server starts. The optimization algorithm module reads the daily manual detection BOD and TOC data entered by S1 from the database and calculates the historical average ratio:

[0135] Step 72. If the server determines that the ratio is greater than 0.5, it generates a suggestion instruction to increase the dissolved oxygen set value and sends it to the pretreatment process unit through the control module:

[0136] Step 73. If the server determines that the ratio is less than 0.3, it sends an instruction to the PLC of the filter to adjust the filter speed set value to 8.4 m / h:

[0137] Step 8. Activated carbon performance degradation management and replacement decision:

[0138] Step 81. The data management module of the server continuously accumulates all adsorption load values recorded in the S2 warning log to estimate the total adsorption capacity consumption of the activated carbon:

[0139] Step 82. When the server's calculation logic determines that the cumulative consumption reaches 85% of the preset theoretical capacity, the server automatically marks the filter status as a suggestion for performance verification in the monitoring interface:

[0140] Step 83. The operation and maintenance personnel receive the prompt and perform manual sampling detection. If the detection result confirms that the activated carbon is invalid and the replacement request is input through the man-machine interface, the server will send a locking instruction to the programmable logic controller of the filter tank, and at the same time, send a start-up operation instruction to the standby filter tank through the control module.

[0141] Through the above steps, the intelligent control of the monitoring layer, the execution layer and the decision layer cooperates to realize the precise closed-loop control of the filtering and flushing process, can dynamically adjust the operation parameters based on the real-time water quality data, effectively early warns the adsorption breakthrough risk and executes the graded response, significantly prolongs the service life of the activated carbon while ensuring the stable and up-to-standard effluent water quality, reduces the number of invalid flushing and energy consumption, improves the economy and reliability of the overall operation, and solves the shortcomings of the traditional control scheme.

[0142] In the description of the present specification, the description referring to the terms "one embodiment", "an example", "a specific example" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0143] The preferred embodiments of the application disclosed above are only used to help explain the application. The preferred embodiments do not describe all the details, nor limit the application to the specific embodiments described. Obviously, many modifications and variations can be made according to the content of the present specification. The present specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the application, so that those skilled in the art can well understand and utilize the application. The application is limited only by the claims and their full scope and equivalents.

Claims

1. A control method for activated carbon filter operation, the method is based on a monitoring layer, an execution layer and a decision layer architecture operation, the monitoring layer data is uploaded to the decision layer, the decision layer analyzes and issues control instructions to the backward execution layer to form a closed-loop control, the monitoring layer collects core parameters of filter operation through sensors; the execution layer receives instructions and performs specific operations through valves and controllers; the decision layer carries out local real-time control through PLC, makes advanced decisions through SCADA server integrated intelligent algorithm, and coordinates the whole plant through DCS, characterized in that, The method comprises the following steps: S1. Real-time monitoring of water inflow and water quality indicators, automatic reduction of filter speed when abnormality is detected, and sending of a stable completion instruction when removal rate is stable and pressure difference data is smooth; S2. After receiving the stable instruction, the rolling average removal rate of the water quality parameter is calculated, and when it is lower than the threshold value, the state flag bit is set, the historical data and the previous detection data are calculated to obtain the load value, and if the load value exceeds the set threshold value, a risk warning is generated; S3. After the warning is issued, a hierarchical protocol is activated, the water quality data is monitored in real time through the controller, and corresponding measures such as increasing the filter speed or starting the standby filter are taken according to different degrees of water quality conditions; S4. The controller continuously monitors the pressure difference threshold as the main condition and monitors the turbidity change rate as the auxiliary condition, logically operates the conditions, and judges the flushing mode in combination with the biological activity mark issued, and finally generates a flushing trigger instruction; S5. After the instruction is issued, air flushing and water flushing are performed in sequence, and the flushing intensity is dynamically adjusted according to the backwashing water turbidity value until the turbidity is stable and up to standard, and then the valve is closed; S6. After the flushing is completed, the filter speed is controlled by the controller and the timer is started, and the outflow water quality and pressure difference are continuously monitored, and if the indicators meet the standards, the verification is passed, and the controller increases the filter speed to normal operation; S7. Analyzing historical water quality data ratios, and generating optimization instructions according to the ratio results; S8. Accumulating historical load data, and when the set capacity is reached, marking the filter as a to-be-checked state, and after the operation and maintenance personnel confirm that the activated carbon is invalid, locking the filter and starting the standby filter; The monitoring layer further comprises a water head loss pressure difference transmitter, an inflow flowmeter, an outflow turbidity meter, an inflow ultraviolet absorption meter, an outflow ultraviolet absorption meter, and a backwashing water turbidity meter; the water head loss pressure difference transmitter is installed between the inflow channel and the outflow channel of the activated carbon filter, and is used for continuously monitoring the total pressure difference of the filter layer; the inflow flowmeter is installed on the filter inflow main pipe; the outflow turbidity meter is installed on the filter clean water outflow main pipe; the inflow ultraviolet absorption meter is installed on the filter inflow main pipe, and is used for monitoring the inflow UV254 value; the outflow ultraviolet absorption meter is installed on the filter clean water outflow main pipe, and is used for monitoring the outflow UV254 value; the backwashing water turbidity meter is installed on the backwashing wastewater drainage pipe; The execution layer further comprises a filter speed adjusting valve, a backwashing air control valve, a backwashing water control valve, and a surface sweeping controller; the filter speed adjusting valve is installed on the filter clean water outflow main pipe; the backwashing air control valve is installed on the backwashing air source pipeline; the backwashing water control valve is installed on the backwashing water source pipeline; and the surface sweeping controller is integrated in the filter surface sweeping device; The decision layer further comprises a programmable logic controller, a server, and a control module; the programmable logic controller is used for receiving the monitoring layer data and controlling the execution layer device; the server integrates intelligent decision algorithms and coordinates the operation of all filter pools in the plant; and the control module is used for data interaction of the filter pool process chain; The implementation steps of step S1 are as follows: S11. The inflow flowmeter and the inflow ultraviolet absorption meter installed on the filter inflow main pipe continuously send real-time data to the local programmable logic controller; S12. Through the programmable logic controller built-in logic to determine if the instantaneous value of the water flow exceeds 8.8 m³ / h or the water UV254 value is higher than 5 mg / L for five minutes, immediately output control signal to the pneumatic or electric filter speed regulating valve on the effluent pipe to limit its opening to 5.6 m / h; S13. At the same time, the server generates a daily instruction log to prompt the operation and maintenance personnel to manually sample. After the manual TOC detection data is entered, the server calculates the daily TOC average removal rate; S14. When the server confirms that the removal rate fluctuates by less than 5% for three consecutive days and the water head loss pressure difference transmitter data is stable, the server sends an instruction to the programmable logic controller of the filter tank that the initial stable stage is completed.

2. The control method for operation of an activated carbon filter according to claim 1, characterized by, The implementation steps of step S2 are: S21. After receiving the S1 completion instruction, the programmable logic controller continuously acquires the 4-20 mA analog signal of the influent and effluent ultraviolet absorption instrument and calculates the rolling average removal rate; S22. When the programmable logic controller's calculation logic determines that the removal rate is lower than 80% for two hours, the programmable logic controller writes a status flag bit into its register: S23. Then the server calls the historical data stream of the influent flow meter in this period and performs correlation calculation with the daily manual TOC detection data entered into the database in S1 to obtain the real-time adsorption load value; S24. If the server's built-in intelligent algorithm determines that the calculated value exceeds 200 gTOC / m³·d, the server generates a breakthrough risk warning information and displays it on the central monitoring interface.

3. The control method for operation of an activated carbon filter according to claim 2, characterized by, The implementation steps of step S3 are: S31. The server activates its internal hierarchical response protocol module immediately after issuing the S2 warning. The module continuously polls the real-time data of the effluent ultraviolet absorption instrument and the effluent turbidity instrument through the programmable logic controller: S32. If the server protocol logic determines that the real-time data shows that the UV254 removal rate is maintained between 75% and 80% and the effluent turbidity is stable below 0.3 NTU, the server issues an instruction to the programmable logic controller to control the filter speed regulating valve to increase the filter speed to 6.2 m / h: S33. If the server logic determines that the data shows that the UV254 removal rate has decreased to the interval of 70% to 75% or the effluent turbidity exceeds 0.5 NTU, the server sends a start instruction to the programmable logic controller of the standby filter tank through the control module.

4. The control method for operation of an activated carbon filter according to claim 3, characterized by, The implementation steps of step S4 are: S41. The programmable logic controller continuously compares the reading of the water head loss pressure difference transmitter with the threshold value of 1.8 m as the main condition: S42. The programmable logic controller also monitors the reading change rate of the effluent turbidity instrument. If its logic determines that the reading has sharply increased from 0.2 NTU within 10 minutes and exceeds 0.5 NTU, this is the auxiliary condition: S43. The programmable logic controller performs an or logical operation on the main and auxiliary conditions. If the result is true, it is ready to trigger the flushing: S44. The server queries its database, and if there is an artificial mark of high biological activity of the filter, an identifier of disabling air flushing is sent to the programmable logic controller, and the programmable logic controller finally generates a flushing trigger instruction by synthesizing all conditions.

5. The control method for the operation of an activated carbon filter according to claim 4, characterized by, The implementation steps of the step S5 are: S51. After the programmable logic controller sends the flushing instruction of S4, the digital output module of the programmable logic controller first sends a 120-second opening pulse signal to the backwash air control valve and maintains the intensity at 15 L / m²·s: S52. After the air flushing is completed, the programmable logic controller closes the air control valve and sends a signal to the backwash water control valve to start water flushing at a intensity of 15 L / m²·s for 120 seconds; S53. Then the programmable logic controller starts to read the analog input value of the backwash water turbidity instrument, and the internal program logic judges whether the reading is reduced to below 50 NTU, and if so, the water flushing intensity control signal is automatically adjusted to 8 L / m²·s and lasts for 300 seconds, and the programmable logic controller confirms that the reading of the backwash water turbidity instrument is stable at below 15 NTU before closing the water control valve.

6. The control method for operation of an activated carbon filter according to claim 5, characterized by, The implementation steps of the step S6 are: S61. After the backwash program is completed, the programmable logic controller immediately controls the filter speed regulating valve to make the filter run at a speed of 4 m / h, and starts a built-in 1800-second timer: S62. The programmable logic controller continuously collects the data of the effluent turbidity instrument and the differential pressure transmitter of the water head loss, and the verification logic judges whether the effluent turbidity is always lower than 0.4 NTU within 1800 seconds and the differential pressure is lower than 0.5 m at the end of the timing, and if so, the programmable logic controller sends a verification pass signal to the server, and then the programmable logic controller increases the filter speed to 8 m / h according to the preset program ladder.

7. The control method for operation of an activated carbon filter according to claim 6, characterized by, The implementation steps of the step S7 are: S71. After the filter returns to normal operation, the optimization algorithm module in the server starts, and the optimization algorithm module reads the daily artificial detection BOD and TOC data entered by S1 from the database and calculates the historical average ratio: S72. If the server judges that the ratio is greater than 0.5, the server generates a suggestion instruction to increase the dissolved oxygen set value and sends it to the pretreatment process unit through the control module: S73. If the server judges that the ratio is less than 0.3, the server sends an instruction to the programmable logic controller of the filter to adjust the filter speed set value to 8.4 m / h.

8. The control method for operation of an activated carbon filter according to claim 7, characterized by, The implementation steps of the step S8 are: S81. The data management module of the server continuously accumulates all adsorption load values recorded from the S2 warning log, so as to estimate the total adsorption capacity consumption of the activated carbon: S82. When the server calculation logic judges that the cumulative consumption reaches 85% of the preset theoretical capacity, the server automatically marks the filter state as a suggestion for performance check in the monitoring interface: S83. After the operation and maintenance personnel receive the prompt and perform artificial sampling detection, if the detection result confirms that the activated carbon is invalid and the replacement request is input through the man-machine interface, the server will send a locking instruction to the programmable logic controller of the filter, and at the same time, send a start operation instruction to the monitoring process of the standby filter through the control module.

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