Intelligent control system for dynamic dosing of coal slurry flocculant based on photosensitive knowledge

Abstract

This invention relates to the field of automation control technology and discloses an intelligent control system for dynamic dosing of flocculant in coal slurry water based on photosensitive sensing. The system includes a state sensing module, an intelligent decision-making module, an automatic execution module, and a closed-loop optimization module. The system continuously monitors the concentration of coal slurry water in real time using a photosensitive sensor and feeds the sensing signal back to a programmable logic controller (PLC). The PLC compares and calculates the received turbidity signal with internal preset thresholds and control logic, automatically generating control commands and dynamically adjusting the start-up, shutdown, and operating frequency of the dosing pump, thereby achieving a match between the flocculant dosage and the real-time changing concentration of the coal slurry water. Simultaneously, the system integrates an automatic dosing function, automatically replenishing water and discharging material from the mixing tank through liquid level control, and uses timed compressed air purging to solve condensation interference on the photosensitive sensor. This invention improves the system's response speed and control accuracy to fluctuations in operating conditions.

Description

Technical Field

[0001] This invention relates to the field of automation control technology, specifically to an intelligent control system for dynamic dosing of coal slurry flocculant based on photosensitive knowledge. Background Technology

[0002] Automation control is an engineering technology based on mechanical, electrical and computer technologies that enables equipment and systems to operate autonomously through preset programs, with the goal of replacing manual operation and improving efficiency.

[0003] Currently, the intelligent control system for dynamic dosing of flocculants in coal slurry water based on photosensitive perception relies on a core photosensitive sensor. When monitoring water turbidity, the sensor is affected by multiple complex factors, including suspended particles in the coal slurry water adhering to the sensor's sensing window, scattering interference from free air bubbles in the water, and inherent color differences due to variations in the type of raw coal. Regular compressed air purging alone cannot reduce these interferences, resulting in the sensor's output electrical signal failing to accurately reflect the turbidity required for the target flocculation and sedimentation process. This leads to a bias in the control system's sensing source, affecting the accuracy of subsequent decisions.

[0004] Therefore, a photosensitive intelligent control system for dynamic addition of flocculant in coal slurry water is proposed to solve the above problems. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides an intelligent control system for dynamic addition of flocculant in coal slurry water based on photosensitive sensing. This system solves the problems mentioned in the background technology, where the core photosensitive sensor is affected by multiple complex factors when monitoring water turbidity, such as the adhesion of suspended particles in the coal slurry water to the sensor's sensing window, the scattering interference of free air bubbles in the water on the light path, and the inherent background color differences caused by variations in the type of raw coal. These factors also affect the accuracy of subsequent decision-making.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an intelligent control system for dynamic dosing of coal slurry flocculant based on photosensitive knowledge, comprising:

[0007] The status sensing module senses the coal slurry water concentration in real time through the water turbidity monitoring unit, uses the anti-interference processing unit to protect the sensing unit from condensation, and outputs the current coal slurry water status data.

[0008] The intelligent decision-making module receives the coal slurry water status data, compares it with preset logic through the addition threshold judgment unit, and generates a dosing pump control signal that dynamically matches the current water concentration through the controller calculation unit.

[0009] The automatic execution module receives the control signal, regulates the flocculant dosage through the dosing execution unit, manages the reagent preparation process through the stirring control unit, coordinates the liquid replenishment, stirring and discharging operations through the liquid level linkage unit, and outputs actual dosing action data.

[0010] The closed-loop optimization module receives the state data and action data, and performs effect evaluation and parameter self-tuning. The closed-loop optimization module includes an effect evaluation unit, a parameter self-tuning unit, and a strategy optimization unit.

[0011] In the closed-loop optimization module, the effect evaluation unit analyzes the dosing response delay and estimates the amount of reagent consumed, and evaluates the effectiveness and economy of the current control strategy. The parameter self-tuning unit dynamically adjusts the control parameters in the intelligent decision-making module based on the output of the effect evaluation unit, including the preset threshold for turbidity and the initial operating frequency of the dosing pump. The strategy optimization unit combines the control parameters dynamically adjusted by the parameter self-tuning unit with the historical operating data of the system to generate specific optimized control instructions and feeds them back to the intelligent decision-making module.

[0012] Preferably, the water turbidity monitoring unit is a photosensitive sensor, and its specific working process includes:

[0013] The photosensitive sensor is arranged in the coal slurry water flow channel and the side wall of the container to be monitored, and its sensing end is in direct and indirect contact with the coal slurry water.

[0014] The photosensitive sensor continuously monitors changes in the transmittance and reflectance of the water body, and converts the received light intensity signal into a corresponding turbidity value according to a preset sensing model. The sensing model is represented by the following relationship:

[0015] ;

[0016] in, This refers to the real-time turbidity value calculated by the system. This refers to the voltage signal output in real time by the photosensitive sensor, measured in volts. The reference output voltage of the sensor, measured in standard clean water, is expressed in volts. and The calibration coefficient for the sensor was obtained through calibration experiments using standard turbidity solutions of different concentrations.

[0017] When the concentration of coal slurry water increases and the water turns black, the aforementioned An increase in the value triggers a first preset threshold, indicating that the current turbidity exceeds the standard. When the coal slurry water concentration decreases and the water becomes clearer, the... The value decreases and returns to the second preset threshold, indicating that the current turbidity meets the standard.

[0018] Preferably, the anti-interference processing unit includes a condensation protection subunit, the operation of which is as follows:

[0019] A compressed air purging device is provided near the sensing end of the photosensitive sensor, and the purging device is controlled by a solenoid valve to open and close.

[0020] The periodic purging interval and the duration of a single purging session can be set using a timer;

[0021] When the preset purging time is reached, the timer issues a command to control the solenoid valve to open, the compressed air pipeline to be connected, and air is blown onto the sensing end of the photosensitive sensor.

[0022] When the duration of a single purging cycle ends, the timer issues a command to close the solenoid valve, stopping the compressed air purging.

[0023] Preferably, the preset control logic within the dosing threshold determination unit is as follows:

[0024] A preset turbidity threshold is set based on the target overflow water clarity and coal slime settling efficiency requirements;

[0025] The turbidity signal of the coal slurry water fed back by the state perception module in real time is compared with the preset turbidity threshold in real time.

[0026] If the real-time turbidity signal is higher than the preset threshold, the water is judged as black and a chemical dosing command is generated. If the real-time turbidity signal is lower than or equal to the preset threshold, the water is judged as clear and a chemical dosing command is generated.

[0027] Preferably, the controller's arithmetic unit is a programmable logic controller (PLC), which receives the output instruction from the threshold determination unit and performs signal conversion and output, the process including:

[0028] When a start dosing command is received, the programmable logic controller outputs a start signal to the feed pump in the dosing execution unit and adjusts the frequency of the output signal according to a preset program.

[0029] When a stop dosing command is received, the programmable logic controller outputs a stop signal to the feed pump to cut off the dosing of the drug.

[0030] Preferably, the dosing execution unit includes a feed pump, and its control process is as follows:

[0031] The power control circuit of the feeding pump is controlled by the control signal output by the intelligent decision module;

[0032] When the control signal is a start signal, the feed pump contactor engages, the motor is energized and runs, and the flocculant solution in the storage tank is pumped to the coal slurry water treatment system.

[0033] When the control signal is a stop signal, the feed pump contactor is disconnected, the motor loses power and stops running, and the agent dosing process is interrupted;

[0034] The start and stop of the feeding pump and the turbidity status of the coal slurry water fed back by the status sensing module are linked in a closed loop.

[0035] Preferably, the stirring control unit manages the reagent preparation process including:

[0036] Set up an independent reagent mixing tank to mix solid and high-concentration flocculants with dilution water to prepare a reagent solution;

[0037] The powdered and liquid raw materials are transported from the storage silo to the mixing tank by a blower;

[0038] A liquid level sensor is installed on the mixing tank to detect the liquid level inside the tank;

[0039] The intelligent decision-making module controls the start and stop of the water supply valve based on the feedback signal from the liquid level sensor: when the liquid level is lower than the low set value, the water supply valve is opened; when the liquid level reaches the high set value, the water supply valve is closed.

[0040] After the medicine and water are added to the mixing tank in the set ratio, start the agitator to stir for a set time.

[0041] Preferably, the process of the liquid level linkage unit coordinating liquid replenishment, stirring, and material discharge operations is as follows:

[0042] The liquid level linkage unit monitors the liquid level in the stirring tank and the liquid level in the medicine storage tank;

[0043] During the preparation of the medicine, once the liquid level in the mixing tank reaches the set level, water replenishment is stopped, and the agitator is started for timed mixing.

[0044] After mixing is complete, the discharge valve at the bottom of the mixing tank will automatically open, and the prepared medicine solution will be placed into the storage tank for storage.

[0045] When the liquid level in the storage tank reaches the high level, close the discharge valve from the mixing tank. When the liquid level in the storage tank falls below the low level, allow a new round of drug preparation and discharge process to be triggered in a timely manner.

[0046] The stirring time, the set liquid level in the stirring tank, and the set liquid level in the storage tank are set and adjusted through a human-machine interface.

[0047] Preferably, the process by which the effect evaluation unit judges the effect of the application is as follows:

[0048] The effect evaluation unit continuously receives coal slurry water status data from the status perception module and records the corresponding dosing action data.

[0049] Analyze the time delay between the issuance of the dosing command and the recovery of the turbidity signal to the target threshold to evaluate the system's response speed;

[0050] By statistically analyzing the trigger frequency and total duration of the dosing command per unit time, and combining this with the rated flow rate of the dosing pump, the flocculant consumption is estimated using the following formula:

[0051] ;

[0052] in, This represents the estimated total flocculant consumption within a statistical period, expressed in liters. The constant discharge flow rate of the feed pump at its rated frequency is expressed in liters per minute. This represents the total number of times a dosing command is triggered within the statistical period. No. The duration of each initiation of a dosing command, in minutes;

[0053] By comparing the changing trends of turbidity signals with the corresponding dosing actions, the effectiveness of the current dosing control strategy in stabilizing water quality is qualitatively evaluated.

[0054] Preferably, the process by which the parameter self-tuning unit adjusts the decision parameters based on the evaluation results is as follows:

[0055] When the evaluation results show that the system response is too slow, the parameter self-tuning unit automatically fine-tunes the turbidity preset threshold in the addition threshold judgment unit and adjusts the default start frequency of the feed pump.

[0056] When the evaluation results show that the dosage of the agent is consistently high, the parameter self-tuning unit attempts to increase the preset threshold of turbidity and introduce gradient frequency reduction logic after the feed pump is started, so as to gradually reduce the dosage during the turbidity reduction process and find the optimal balance between effect and cost.

[0057] The adjusted parameters are encapsulated into new control strategy instructions by the strategy optimization unit and sent to the controller computing unit in the intelligent decision-making module for loading and execution, forming a complete intelligent control closed loop of perception, decision-making, execution, evaluation, and optimization.

[0058] Compared with existing technologies, this invention provides an intelligent control system for dynamic dosing of flocculant in coal slurry water based on photosensitivity, which has the following beneficial effects:

[0059] 1. In this invention, when dynamically controlling the addition of flocculant to coal slurry water, the photosensitive sensor in the state perception module continuously and in real time senses the turbidity of the coal slurry water. An anti-interference processing unit periodically protects the turbidity monitoring unit, reducing interference from condensation on the sensor window and ensuring the stability and reliability of the coal slurry water state data acquisition. Simultaneously, the system presets turbidity threshold judgment logic within the addition threshold judgment unit of the intelligent decision-making module, ensuring the distinction between black and clear water states and improving the accuracy of perception.

[0060] 2. In this invention, a closed-loop control system consisting of a state perception module, an intelligent decision-making module, and an automatic execution module is constructed. The coal slurry water state data sensed by the photosensitive sensor and the start / stop actions of the dosing execution unit are linked in real time through the controller's computing unit, realizing an instantaneous closed loop of perception, decision-making, and execution. This system can dynamically control the feeding pump based on real-time water condition changes, enabling real-time matching of flocculant dosage and coal slurry water concentration. This improves the system's response speed and control accuracy to fluctuations in operating conditions and solves the lag problem of traditional manual control.

[0061] 3. In this invention, by adding a closed-loop optimization module, the effect evaluation unit continuously analyzes the dosing effect, and the parameter self-tuning unit automatically adjusts the control parameters in the intelligent decision-making module based on the evaluation results. This enables the system to not only execute start-stop control based on fixed thresholds, but also to adaptively optimize according to the actual operating effect, so that the action strategy of the dosing execution unit tends to be economically optimal while ensuring the treatment effect, thereby improving the adaptability and long-term operating efficiency of the entire system under different production conditions. Attached Figure Description

[0062] Figure 1 This is a schematic diagram of the architecture of the intelligent control system for dynamic dosing of flocculant in coal slurry water based on photosensitive knowledge according to the present invention.

[0063] Figure 2 This is a schematic diagram of the disassembled structure of the state sensing module of the present invention;

[0064] Figure 3 This is a schematic diagram of the split structure of the automatic execution module of the present invention. Detailed Implementation

[0065] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0066] Please see Figures 1-3 The specific implementation of the intelligent control system for dynamic dosing of coal slurry flocculant based on photosensitive knowledge is as follows, including:

[0067] The status sensing module senses the coal slurry water concentration in real time through the water turbidity monitoring unit, uses the anti-interference processing unit to protect the sensing unit from condensation, and outputs the current coal slurry water status data.

[0068] The intelligent decision-making module receives coal slurry water status data, compares it with preset logic through the addition threshold judgment unit, and generates a dosing pump control signal that dynamically matches the current water concentration through the controller calculation unit.

[0069] The automatic execution module receives control signals, regulates the flocculant dosage through the dosing execution unit, manages the reagent preparation process through the stirring control unit, and coordinates the liquid replenishment, stirring and discharging operations through the liquid level linkage unit, and outputs actual dosing action data.

[0070] The closed-loop optimization module receives state data and action data, and performs effect evaluation and parameter self-tuning. The closed-loop optimization module includes an effect evaluation unit, a parameter self-tuning unit, and a strategy optimization unit.

[0071] In the closed-loop optimization module, the effect evaluation unit analyzes the dosing response delay and estimates the amount of reagent consumed, and evaluates the effectiveness and economy of the current control strategy. The parameter self-tuning unit dynamically adjusts the control parameters in the intelligent decision-making module based on the output of the effect evaluation unit, including the preset threshold for turbidity and the initial operating frequency of the dosing pump. The strategy optimization unit combines the control parameters dynamically adjusted by the parameter self-tuning unit with the historical operating data of the system to generate specific optimized control instructions and feeds them back to the intelligent decision-making module.

[0072] The water turbidity monitoring unit is a photosensitive sensor, and its specific working process includes:

[0073] The photosensitive sensor is arranged in the coal slurry water flow channel and the side wall of the container to be monitored, and its sensing end is in direct and indirect contact with the coal slurry water.

[0074] A photosensitive sensor continuously monitors changes in the transmittance and reflectance of the water body. Based on a preset sensing model, it converts the received light intensity signal into a corresponding turbidity value. The turbidity value is used for threshold judgment. The sensing model is represented by the following relationship:

[0075] ;

[0076] in, This refers to the real-time turbidity value calculated by the system. This refers to the voltage signal output in real time by the photosensitive sensor, measured in volts. The reference output voltage of the sensor, measured in standard clean water, is expressed in volts. and The calibration coefficient for the sensor was obtained through calibration experiments using standard turbidity solutions of different concentrations.

[0077] When the concentration of coal slurry water increases and the water turns black, An increase in the value triggers the first preset threshold, indicating that the current turbidity exceeds the standard. When the coal slurry water concentration decreases and the water becomes clearer... The value decreases and returns to the second preset threshold, indicating that the current turbidity meets the standard.

[0078] The anti-interference processing unit includes a condensation protection subunit, and its operation process is as follows:

[0079] A compressed air purging device is installed near the sensing end of the photosensitive sensor, and the purging device is controlled by a solenoid valve.

[0080] The periodic purging interval and the duration of a single purging session can be set using a timer;

[0081] purge interval Adaptive optimization is performed based on ambient humidity and the sensor's historical condensation frequency, with the following calculation relationship:

[0082] ;

[0083] in, The calculated adaptive purge time interval is in minutes. The basic purging interval is in minutes. The environmental humidity influence coefficient is a positive coefficient set based on field experience. The set safe humidity threshold, in percentage form. The system reads the ambient humidity value in real time as a percentage, which is monitored by environmental sensors. The value, and compare it with the preset value. , and Substitute these values ​​into the above formula to calculate the next cycle in real time. And refresh this calculation result to the timer interval setting parameter, when At this time, the formula automatically shortens the purging interval and increases the purging frequency;

[0084] When the preset purging time is reached, the timer issues a command to open the solenoid valve, connect the compressed air pipeline, and blow air onto the sensing end of the photosensitive sensor to disperse and prevent condensation from forming.

[0085] When the duration of a single purging cycle ends, the timer issues a command to close the solenoid valve, stopping the compressed air purging.

[0086] The preset control logic within the threshold determination unit is as follows:

[0087] A preset turbidity threshold is set based on the target overflow water clarity and coal slime settling efficiency requirements, and is dynamically adjusted according to changes in the quality of the raw coal being washed. This dynamic threshold... The calculation formula is:

[0088] ;

[0089] in, This is the dynamically adjusted turbidity control threshold. Based on the turbidity threshold, The coefficient representing the influence of coal quality was obtained by fitting historical data. This represents the deviation of the current ash content of the raw coal being washed from the benchmark ash content, expressed as a percentage. The system obtains the ash content of the current batch of raw coal by receiving data from the online ash analyzer and the production management system, and calculates the difference between this ash content and the preset benchmark ash content. ,Will Substituting into the above formula, the dynamic control threshold applicable to the current coal quality conditions can be calculated. This threshold will replace the original fixed threshold. To achieve subsequent water blackness or water clarity determination, when the ash content of the raw coal entering the washing process increases, >0, the formula automatically lowers the control threshold, so that the system can start adding chemicals in clearer water to deal with more difficult-to-settle high-ash fine sludge;

[0090] The turbidity signal of coal slurry water fed back by the status sensing module in real time is compared with the preset turbidity threshold in real time.

[0091] If the real-time turbidity signal is higher than the preset threshold, the water is judged as black and a chemical dosing command is generated. If the real-time turbidity signal is lower than or equal to the preset threshold, the water is judged as clear and a chemical dosing command is generated.

[0092] The controller's arithmetic unit is a programmable logic controller (PLC). It receives the output instructions from the threshold determination unit and performs signal conversion and output. The process includes:

[0093] Upon receiving a start command for dosing, the programmable logic controller (PLC) outputs a start signal to the feed pump in the dosing execution unit and adjusts the frequency of the output signal according to a preset program to control the pump's speed and dosing flow rate, and the initial dosing frequency. Determined by the following formula:

[0094] ;

[0095] in, The initial operating frequency of the feed pump when it starts, in Hertz. This refers to the maximum permissible operating frequency of the feed pump, measured in Hertz (Hz). The real-time turbidity value at the moment the dosing command is triggered. To control the threshold, The upper limit of the turbidity range set for the system;

[0096] The moment the dosing command is triggered, the controller's processing unit immediately captures the current data. Value, and the currently effective value. and preset Substituting these values ​​into the formula above, we first calculate the ratio. Subsequently through The function limits it to values ​​below 1, and finally multiplies the result by... get The controller then generates a frequency value. The analog and pulse signals are output to the frequency converter of the feed pump;

[0097] When a stop dosing command is received, the programmable logic controller outputs a stop signal to the feed pump to cut off the dosing of the chemical.

[0098] The dosing unit includes a feed pump, and its control process is as follows:

[0099] The power control circuit of the feed pump is controlled by the control signal output by the intelligent decision module;

[0100] When the control signal is a start signal, the feed pump contactor engages, the motor is energized and runs, and the flocculant solution in the storage tank is pumped to the coal slurry water treatment system.

[0101] When the control signal is a stop signal, the feed pump contactor is disconnected, the motor loses power and stops running, and the agent dosing process is interrupted;

[0102] The start and stop of the feeding pump and the turbidity status of the coal slurry water fed back by the status sensing module achieve closed-loop linkage.

[0103] The stirring control unit manages the reagent preparation process, including:

[0104] Set up an independent reagent mixing tank to mix solid and high-concentration flocculants with dilution water to prepare a reagent solution;

[0105] Powdered and liquid raw materials are transported from the storage silo to the mixing tank by a blower.

[0106] A liquid level sensor is installed on the mixing tank to detect the liquid level inside the tank;

[0107] The intelligent decision-making module controls the start and stop of the water supply valve based on the feedback signal from the liquid level sensor: when the liquid level is lower than the low set value, the water supply valve is opened; when the liquid level reaches the high set value, the water supply valve is closed.

[0108] After the reagent and water are added to the mixing tank according to the set ratio, start the stirrer for timed stirring to ensure that the reagent is fully dissolved and mixed evenly. To ensure the stirring effect, the minimum energy required for a single batch of stirring is specified. Estimated by the following formula:

[0109] ;

[0110] in, The minimum stirring energy required to ensure complete dissolution of the reagent, expressed in kilojoules. This refers to the rated power of the mixing motor, measured in kilowatts (kW). The minimum required stirring time, calculated according to this formula, is expressed in seconds. Empirical coefficients related to the geometry of the mixing tank and the type of agitator. The dynamic viscosity of water is expressed in Pascals per second (Pa·s). The volume of the liquid medicine in the mixing tank is in cubic meters. For the flocculant mass concentration, the system stirring time should be greater than [a certain value]. ;

[0111] Before each dispensing, the system calculates the total volume of the dispensing solution based on the set ratio and liquid level. and concentration and call the preset Value and The value is substituted into the above formula to calculate the result. And then from To obtain the minimum required mixing time, the system-set mixing time should be greater than [a certain value]. To ensure thorough mixing.

[0112] The process of the liquid level linkage unit coordinating liquid replenishment, stirring and discharging operations is as follows:

[0113] The liquid level linkage unit monitors the liquid levels in the mixing tank and the storage tank.

[0114] During the preparation of the medicine, once the liquid level in the mixing tank reaches the set level, water replenishment is stopped, and the agitator is started for timed mixing.

[0115] After mixing is complete, the discharge valve at the bottom of the mixing tank will automatically open, and the prepared medicine solution will be placed into the storage tank for storage.

[0116] When the liquid level in the storage tank reaches the high level, the discharge valve from the mixing tank is closed. When the liquid level in the storage tank falls below the low level, a new round of drug preparation and discharge process is allowed to be triggered. To prevent drug shortages and optimize batches, the system predicts the number of drug batches that need to be prepared. Its formula is:

[0117] ;

[0118] in, This refers to the recommended number of batches of reagent to be prepared for the next forecast period, expressed in batches. This represents the total expected demand for pesticides in the future period, based on historical dosing data, expressed in liters. This represents the actual volume of liquid medicine currently stored in the medicine storage tank, in liters. The volume of the prepared medicine solution in a single batch in the mixing tank is expressed in liters. The rounding up symbol;

[0119] The prediction is achieved using the moving average method, which takes the arithmetic mean of the actual flocculant consumption over the most recent M statistical periods of equal length recorded by the system as the forecast. The possible values ​​of ;

[0120] The stirring time, stirring tank level, and storage tank level can be set and adjusted through the human-machine interface.

[0121] The process by which the effect evaluation unit judges the effect of the application is as follows:

[0122] The effect evaluation unit continuously receives coal slurry water status data from the status perception module and records the corresponding dosing action data.

[0123] Analyze the time delay between the issuance of the dosing command and the recovery of the turbidity signal to the target threshold to evaluate the system's response speed;

[0124] By statistically analyzing the trigger frequency and total duration of dosing commands per unit time, and combining this with the rated flow rate of the dosing pump, the flocculant consumption is estimated to assess the economic efficiency of the dosing. The estimation formula is as follows:

[0125] ;

[0126] in, This represents the estimated total flocculant consumption within a statistical period, expressed in liters. This refers to the constant discharge flow rate of the feed pump at its rated frequency, expressed in liters per minute. This represents the total number of times a dosing command is triggered within the statistical period. No. The duration of each initiation of a dosing command, in minutes;

[0127] By comparing the changing trends of turbidity signals with the corresponding dosing actions, the effectiveness of the current dosing control strategy in stabilizing water quality is qualitatively evaluated.

[0128] The process by which the parameter self-tuning unit adjusts the decision parameters based on the evaluation results is as follows:

[0129] When the evaluation results show that the system response is too slow, the parameter self-tuning unit automatically fine-tunes the turbidity preset threshold in the dosing threshold judgment unit and adjusts the default start frequency of the feed pump to speed up the initial dosing rate.

[0130] When the evaluation results show that the dosage of the agent is consistently high, the parameter self-tuning unit attempts to increase the preset threshold of turbidity and introduce gradient frequency reduction logic after the feed pump is started, so as to gradually reduce the dosage during the turbidity reduction process and find the optimal balance between effect and cost.

[0131] Self-tuning adjustment amount of turbidity threshold Calculated based on recent performance evaluation results:

[0132] ;

[0133] in, For the first The cumulative adjustment of the turbidity set threshold over each self-tuning cycle. The self-tuning learning rate is a small positive coefficient. The desired final effluent turbidity target value, This is the average value of the stable effluent turbidity after each dosing operation within the previous self-tuning cycle;

[0134] The system uses a fixed time and a fixed number of dosing events as a self-tuning cycle. At the end of each cycle, the parameter self-tuning unit obtains the stable effluent turbidity measured after all dosing and stabilization processes within that cycle from the effect evaluation unit, and calculates its average value. Then, With preset By comparison, the new cumulative adjustment is calculated using the above formula. The final turbidity setpoint will be updated to And it takes effect in the next self-tuning cycle. This formula enables the system to iteratively optimize the control threshold step by step according to the actual water output effect.

[0135] The adjusted parameters are encapsulated into new control strategy instructions by the strategy optimization unit and sent to the controller computing unit in the intelligent decision-making module for loading and execution, forming a complete intelligent control closed loop of perception, decision-making, execution, evaluation, and optimization.

[0136] The operation steps of the intelligent control system for dynamic dosing of coal slime flocculant based on photosensitive knowledge are as follows:

[0137] Step 1: State Awareness and Signal Processing

[0138] This step is executed by the state perception module, the core of which is the water turbidity monitoring unit. This unit is deployed at the monitoring points in the coal slurry water flow channel and container to continuously sense the light transmission and reflection characteristics of the water. The sensor converts the received light intensity signal into an electrical signal representing turbidity according to the preset sensing model, thereby outputting the current coal slurry water state data in real time. To ensure the reliability of the sensing, the anti-interference processing unit works synchronously. Its internal condensation protection subunit controls compressed air to purge the sensor sensing end at regular intervals according to a set period and an interval adaptively calculated based on the ambient humidity, to prevent water vapor condensation from interfering with the measurement accuracy.

[0139] Step 2: Intelligent Analysis and Decision Generation

[0140] This step is completed by the intelligent decision-making module. This module receives the coal slurry water status data, i.e., the real-time turbidity value, from the status perception module and first passes it to the dosing threshold judgment unit for processing. This unit has a preset turbidity threshold set based on process requirements and compares the real-time turbidity signal with this threshold in real time: if it is higher than the threshold, it is judged as black water and a start dosing command is generated; if it is lower than or equal to the threshold, it is judged as clear water and a stop dosing command is generated. This command is then transmitted to the controller's arithmetic unit, i.e., the programmable logic controller. The programmable logic controller performs logical operations and signal conversions according to the received command to generate specific dosing pump control signals. This signal contains simple start and stop commands and dynamically adjusts the output frequency according to the degree of turbidity exceeding the standard, thereby generating control commands that match the current water concentration.

[0141] Step 3: Automated Execution and Drug Management:

[0142] This step is implemented by the automatic execution module, which receives control signals from the intelligent decision-making module and mainly works in coordination with three units. The dosing execution unit directly responds to the control signal: upon receiving a start signal, the pump starts and adds the flocculant in the storage tank to the coal slurry water system; upon receiving a stop signal, the pump stops. At the same time, the stirring control unit independently manages the preparation process of the agent: it controls the delivery of raw materials, automatically replenishes water according to the liquid level, and ensures that the stirrer runs for a sufficient time to fully dissolve the agent. The liquid level linkage unit coordinates the entire dosing process, monitors the liquid levels in the stirring tank and the storage tank, automatically controls the start and stop sequence of water replenishment, stirring, and discharge valves, and optimizes the dosing batch based on predicted demand, ultimately outputting the actual dosing action data.

[0143] Step 4: Effect Evaluation and Closed-Loop Optimization

[0144] This step is implemented by the closed-loop optimization module, which completes the intelligent iteration of the system. This module simultaneously receives coal slurry water status data and dosing action data. The effect evaluation unit analyzes these two sets of data: calculating the response delay from the issuance of the dosing command to the achievement of turbidity standards to evaluate the system's agility. Simultaneously, according to the formula... The consumption of pharmaceuticals within the statistical period is used to assess economic efficiency. The assessment results are then sent to the parameter self-tuning unit. Based on the assessment conclusions, this unit automatically fine-tunes the key parameters in the intelligent decision-making module and adjusts the turbidity setting threshold. Finally, the strategy optimization unit encapsulates the adjusted new parameters into optimization instructions and feeds them back to the intelligent decision-making module. Thus, the system completes a complete intelligent control closed loop of perception, decision-making, execution, assessment, and optimization, and continuously optimizes itself during continuous operation.

[0145] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0146] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A smart control system for dynamic dosing of flocculant in coal slurry water based on photosensitivity, characterized in that, include: The status sensing module senses the coal slurry water concentration in real time through the water turbidity monitoring unit, uses the anti-interference processing unit to protect the sensing unit from condensation, and outputs the current coal slurry water status data. The intelligent decision-making module receives the coal slurry water status data, compares it with preset logic through the addition threshold judgment unit, and generates a dosing pump control signal that dynamically matches the current water concentration through the controller calculation unit. The automatic execution module receives the control signal, regulates the flocculant dosage through the dosing execution unit, manages the reagent preparation process through the stirring control unit, coordinates the liquid replenishment, stirring and discharging operations through the liquid level linkage unit, and outputs actual dosing action data. The closed-loop optimization module receives the state data and action data, and performs effect evaluation and parameter self-tuning. The closed-loop optimization module includes an effect evaluation unit, a parameter self-tuning unit, and a strategy optimization unit. In the closed-loop optimization module, the effect evaluation unit analyzes the dosing response delay and estimates the amount of reagent consumed, and evaluates the effectiveness and economy of the current control strategy. The parameter self-tuning unit dynamically adjusts the control parameters in the intelligent decision-making module based on the output of the effect evaluation unit, including the preset threshold for turbidity and the initial operating frequency of the dosing pump. The strategy optimization unit combines the control parameters dynamically adjusted by the parameter self-tuning unit with the historical operating data of the system to generate specific optimized control instructions and feeds them back to the intelligent decision-making module.

2. The intelligent control system for dynamic dosing of coal slurry flocculant based on photosensitive knowledge as described in claim 1, characterized in that, The water turbidity monitoring unit is a photosensitive sensor, and its specific working process includes: The photosensitive sensor is arranged in the coal slurry water flow channel and the side wall of the container to be monitored, and its sensing end is in direct and indirect contact with the coal slurry water. The photosensitive sensor continuously monitors changes in the transmittance and reflectance of the water body, and converts the received light intensity signal into a corresponding turbidity value according to a preset sensing model. The sensing model is represented by the following relationship: ; in, This refers to the real-time turbidity value calculated by the system. This refers to the voltage signal output in real time by the photosensitive sensor, measured in volts. The reference output voltage of the sensor, measured in standard clean water, is expressed in volts. and The calibration coefficient for the sensor was obtained through calibration experiments using standard turbidity solutions of different concentrations. When the concentration of coal slurry water increases and the water turns black, the aforementioned An increase in the value triggers a first preset threshold, indicating that the current turbidity exceeds the standard. When the coal slurry water concentration decreases and the water becomes clearer, the... The value decreases and returns to the second preset threshold, indicating that the current turbidity meets the standard.

3. The intelligent control system for dynamic dosing of coal slurry flocculant based on photosensitive knowledge as described in claim 1, characterized in that, The anti-interference processing unit includes a condensation protection subunit, and its operation process is as follows: A compressed air purging device is provided near the sensing end of the photosensitive sensor, and the purging device is controlled by a solenoid valve to open and close. The periodic purging interval and the duration of a single purging session can be set using a timer; When the preset purging time is reached, the timer issues a command to control the solenoid valve to open, the compressed air pipeline to be connected, and air is blown onto the sensing end of the photosensitive sensor. When the duration of a single purging cycle ends, the timer issues a command to close the solenoid valve, stopping the compressed air purging.

4. The intelligent control system for dynamic dosing of coal slurry flocculant based on photosensitive knowledge as described in claim 1, characterized in that, The preset control logic within the dosing threshold determination unit is as follows: A preset turbidity threshold is set based on the target overflow water clarity and coal slime settling efficiency requirements; The turbidity signal of the coal slurry water fed back by the state perception module in real time is compared with the preset turbidity threshold in real time. If the real-time turbidity signal is higher than the preset threshold, the water is judged as black and a chemical dosing command is generated. If the real-time turbidity signal is lower than or equal to the preset threshold, the water is judged as clear and a chemical dosing command is generated.

5. The intelligent control system for dynamic dosing of coal slurry flocculant based on photosensitive knowledge according to claim 1, characterized in that, The controller's arithmetic unit is a programmable logic controller (PLC), which receives the output instructions from the threshold determination unit and performs signal conversion and output. The process includes: When a start dosing command is received, the programmable logic controller outputs a start signal to the feed pump in the dosing execution unit and adjusts the frequency of the output signal according to a preset program. When a stop dosing command is received, the programmable logic controller outputs a stop signal to the feed pump to cut off the dosing of the drug.

6. The intelligent control system for dynamic dosing of coal slurry flocculant based on photosensitive knowledge according to claim 1, characterized in that, The dosing unit includes a feed pump, and its control process is as follows: The power control circuit of the feeding pump is controlled by the control signal output by the intelligent decision module; When the control signal is a start signal, the feed pump contactor engages, the motor is energized and runs, and the flocculant solution in the storage tank is pumped to the coal slurry water treatment system. When the control signal is a stop signal, the feed pump contactor is disconnected, the motor loses power and stops running, and the agent dosing process is interrupted; The start and stop of the feeding pump and the turbidity status of the coal slurry water fed back by the status sensing module are linked in a closed loop.

7. The intelligent control system for dynamic dosing of coal slurry flocculant based on photosensitive knowledge according to claim 1, characterized in that, The stirring control unit manages the reagent preparation process, including: Set up an independent reagent mixing tank to mix solid and high-concentration flocculants with dilution water to prepare a reagent solution; The powdered and liquid raw materials are transported from the storage silo to the mixing tank by a blower; A liquid level sensor is installed on the mixing tank to detect the liquid level inside the tank; The intelligent decision-making module controls the start and stop of the water supply valve based on the feedback signal from the liquid level sensor: when the liquid level is lower than the low set value, the water supply valve is opened; when the liquid level reaches the high set value, the water supply valve is closed. After the medicine and water are added to the mixing tank in the set ratio, start the agitator to stir for a set time.

8. The intelligent control system for dynamic dosing of coal slurry flocculant based on photosensitive knowledge according to claim 1, characterized in that, The process by which the liquid level linkage unit coordinates the liquid replenishment, stirring, and discharging operations is as follows: The liquid level linkage unit monitors the liquid level in the stirring tank and the liquid level in the medicine storage tank; During the preparation of the medicine, once the liquid level in the mixing tank reaches the set level, water replenishment is stopped, and the agitator is started for timed mixing. After mixing is complete, the discharge valve at the bottom of the mixing tank will automatically open, and the prepared medicine solution will be placed into the storage tank for storage. When the liquid level in the storage tank reaches the high level, close the discharge valve from the mixing tank. When the liquid level in the storage tank falls below the low level, allow a new round of drug preparation and discharge process to be triggered in a timely manner. The stirring time, the set liquid level in the stirring tank, and the set liquid level in the storage tank are set and adjusted through a human-machine interface.

9. The intelligent control system for dynamic dosing of coal slurry flocculant based on photosensitive knowledge according to claim 1, characterized in that, The process by which the effect evaluation unit judges the effect of the application is as follows: The effect evaluation unit continuously receives coal slurry water status data from the status perception module and records the corresponding dosing action data. Analyze the time delay between the issuance of the dosing command and the recovery of the turbidity signal to the target threshold to evaluate the system's response speed; By statistically analyzing the trigger frequency and total duration of the dosing command per unit time, and combining this with the rated flow rate of the dosing pump, the flocculant consumption is estimated using the following formula: ; in, This represents the estimated total flocculant consumption within a statistical period, expressed in liters. The constant discharge flow rate of the feed pump at its rated frequency is expressed in liters per minute. This represents the total number of times a dosing command is triggered within the statistical period. No. The duration of each initiation of a dosing command, in minutes; By comparing the changing trends of turbidity signals with the corresponding dosing actions, the effectiveness of the current dosing control strategy in stabilizing water quality is qualitatively evaluated.

10. The intelligent control system for dynamic dosing of coal slurry flocculant based on photosensitive knowledge according to claim 1, characterized in that, The process by which the parameter self-tuning unit adjusts the decision parameters based on the evaluation results is as follows: When the evaluation results show that the system response is too slow, the parameter self-tuning unit automatically fine-tunes the turbidity preset threshold in the addition threshold judgment unit and adjusts the default start frequency of the feed pump. When the evaluation results show that the dosage of the agent is consistently high, the parameter self-tuning unit attempts to increase the preset threshold of turbidity and introduce gradient frequency reduction logic after the feed pump is started, so as to gradually reduce the dosage during the turbidity reduction process and find the optimal balance between effect and cost. The adjusted parameters are encapsulated into new control strategy instructions by the strategy optimization unit and sent to the controller computing unit in the intelligent decision-making module for loading and execution, forming a complete intelligent control closed loop of perception, decision-making, execution, evaluation, and optimization.

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