Precise dosing method and system based on intelligent valve

Abstract

The invention provides a precise dosing method and system based on an intelligent valve, and relates to the technical field of intelligent control, and the method comprises the steps: collecting multi-source sensor data of a dosing system in real time; preprocessing the data of the multi-source sensor, and outputting standardized process parameters; based on the standardized process parameters, the deviation between a dosing flow measured value and a set value is calculated; when the deviation exceeds a preset threshold value, a valve opening control quantity is generated according to a PID control algorithm and a water inlet flow-dosing flow mapping model, and feedforward compensation is carried out in combination with a water inlet flow variable quantity; and outputting a valve opening control signal and a dosing pump frequency control signal, and driving an execution mechanism to adjust the dosage of the medicament. According to the precise dosing method and system provided by the invention, through high-precision hardware and an intelligent algorithm, the operation cost and the manual dependence are remarkably reduced, and the harsh requirements of the high-end manufacturing industry and the water environment treatment field on precise control are met.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to a precise drug dosing method and system based on an intelligent valve. Background Art

[0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art.

[0003] In fields such as industrial water treatment, pharmaceuticals, and chemicals, the control accuracy of dosing systems is directly related to product quality and operating costs. Traditional dosing methods rely on manual experience to adjust valve openings or use open-loop control, which is difficult to cope with dynamic changes in fluid properties, resulting in drug waste and process failure.

[0004] The existing technology has the following defects: (1) The mechanical valve adjustment resolution is low (usually >1%), which cannot achieve the static accuracy requirement of ±0.5%, resulting in excessive fluctuations in the dosage (such as the pharmaceutical industry requirement of ≤±1%).

[0005] (2) Conventional PID control causes serious dosing lag when the inlet water flow rate changes suddenly, resulting in insufficient dosage of the final product.

[0006] (3) Abnormalities such as blockages and leaks rely on manual troubleshooting, and delayed responses can lead to production interruptions and even safety accidents.

[0007] (4) Fixed control parameters cannot adapt to water quality fluctuations and require frequent manual adjustments. Summary of the Invention

[0008] In order to solve the above problems, the present invention provides a precise dosing method and system based on intelligent valves. Through high-precision hardware and intelligent algorithms, it significantly reduces operating costs and manual dependence, and meets the stringent requirements of high-end manufacturing and water environment management for refined control.

[0009] A first aspect of the present invention provides a precise drug dosing method based on an intelligent valve, comprising: Real-time collection of multi-source sensor data of the dosing system; Preprocessing the multi-source sensor data and outputting standardized process parameters; Based on the standardized process parameters, calculating the deviation between the actual value of the dosing flow rate and the set value; When the deviation exceeds the preset threshold, the valve opening control amount is generated according to the PID control algorithm and the water flow-dosing flow mapping model, and feedforward compensation is performed in combination with the water flow change; Output valve opening control signal and dosing pump frequency control signal to drive the actuator to adjust the dosage of the reagent.

[0010] Furthermore, the feedforward compensation includes: Detect water inlet flow mutation signal; Generate a compensating control amount that is opposite to the flow rate change trend, and adjust the valve opening and dosing pump frequency in advance.

[0011] Furthermore, the pre-processing includes: Filter and reduce noise on the raw sensor data and output a smoothed data sequence; Convert the current signal into physical quantity value and output standardized process parameters.

[0012] Furthermore, it also includes fault diagnosis and protection steps: Real-time monitoring of valve opening, dosing flow, pipeline pressure difference and motor current; When blockage, leakage, or overload signatures are detected, graded response actions are taken based on the severity of the fault.

[0013] Furthermore, the congestion response operation includes: If the mild blockage condition is met, the pulse flushing mode is activated; If the moderate blockage condition is met, switch to the backup dosing line; If severe blockage conditions are met, perform an emergency shutdown and close the upstream valve.

[0014] Further, leak response operations include: Locate the leak point by pressure decay rate or acoustic emission signal; In case of small leaks, switch to the backup circuit and start the collection device; In case of large leakage, close the upstream valve and interlock to stop the pump.

[0015] Furthermore, adaptive parameter tuning includes: Dynamically adjust PID control parameters based on historical deviation data; Adopt multi-mode control logic switching control strategy, including fixed value control, proportional control and adaptive control mode.

[0016] A second aspect of the present invention provides a precise dosing system based on an intelligent valve, comprising: Data acquisition unit, used to collect multi-source sensor data of the dosing system in real time; A data preprocessing unit, configured to preprocess the multi-source sensor data and output standardized process parameters; a deviation calculation unit, configured to calculate a deviation between a measured value of a dosing flow rate and a set value based on the standardized process parameters; The feedforward compensation unit is used to generate the valve opening control amount according to the PID control algorithm and the water flow-dosing flow mapping model when the deviation exceeds the preset threshold, and perform feedforward compensation in combination with the water flow change; The precision dosing unit is used to output valve opening control signals and dosing pump frequency control signals to drive the actuator to adjust the dosage of the reagent.

[0017] The third aspect of the present invention provides a precise drug-dosing device based on a smart valve, the device comprising a memory and a processor; the memory is used to store a computer program; the processor is used to implement the above-mentioned precise drug-dosing method based on the smart valve when executing the computer program.

[0018] A fourth aspect of the present invention provides a computer-readable storage medium, characterized in that a computer program is stored on the storage medium, and when the computer program is executed by a processor, the above-mentioned precise drug dosing method based on the intelligent valve is implemented.

[0019] Compared with the existing technology, the precise drug dosing method and system based on the intelligent valve provided by the present invention has the following beneficial effects: (1) In order to solve the technical problems of low control accuracy (error > 1%) and reliance on manual adjustment in traditional dosing systems in the background technology, the present invention provides a closed-loop control scheme (data acquisition → deviation calculation → feedforward compensation → execution) and a feedforward compensation mechanism, which achieves static accuracy ≤ ±0.5% and dynamic tracking accuracy ≤ ±1%, meeting the stringent requirements of pharmaceutical, chemical and other fields on dosing amount.

[0020] (2) In order to solve the technical problem in the background technology that the PID control lag leads to large fluctuations in the dosage when the water flow rate suddenly changes, the present invention is based on a flow mutation pre-compensation scheme. The valve opening is adjusted in advance through the reverse compensation control amount, achieving the effect of shortening the flow mutation recovery time by more than 50%, significantly improving the process stability.

[0021] (3) In order to solve the technical problem in the background technology that blockage, leakage and other faults rely on manual investigation and delayed response to cause accidents, based on a multi-parameter joint diagnosis scheme and a hierarchical response strategy, the blockage detection accuracy rate is ≥99.7% and the leakage response time is ≤200ms, reducing unplanned downtime by more than 80%.

[0022] (4) In order to solve the technical problem that the fixed control parameters in the background technology cannot adapt to the fluctuation of water quality, based on the dynamic PID tuning and multi-mode switching scheme, the self-optimization effect of the control parameters under complex working conditions is achieved, reducing the frequency of manual intervention. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The accompanying drawings, which constitute a part of the present disclosure, are used to provide a further understanding of the present disclosure. The exemplary embodiments of the present disclosure and their descriptions are used to explain the present disclosure and do not constitute an improper limitation to the present disclosure.

[0024] Figure 1 This is a flow chart of a precise drug dosing method based on an intelligent valve provided by the present invention; Figure 2 This is the overall flow chart of fault diagnosis and repair provided by the present invention; Figure 3 This is a flow chart of the leak location technology provided by the present invention; Figure 4 This is a fault cross-validation flow chart provided by the present invention; Figure 5 This is a block diagram of a precise drug dosing system based on an intelligent valve provided by the present invention. DETAILED DESCRIPTION

[0025] It should be noted that the following detailed descriptions are exemplary and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used in the present invention have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0026] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is intended to include the plural form. In addition, it should be understood that the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process or method comprising a series of steps or units is not necessarily limited to those steps clearly listed, but may include other steps that are not clearly listed or inherent to these processes or methods.

[0027] In the absence of conflicts, the embodiments and features of the embodiments of the present invention can be combined with each other. All data in this embodiment is obtained in accordance with laws and regulations and based on the consent of the user, and is used legally.

[0028] Example 1 like Figure 1 The present invention provides a precise drug dosing method based on an intelligent valve, comprising the following steps: Real-time collection of multi-source sensor data of the dosing system; Preprocessing the multi-source sensor data and outputting standardized process parameters; Based on the standardized process parameters, calculating the deviation between the actual value of the dosing flow rate and the set value; When the deviation exceeds the preset threshold, the valve opening control amount is generated according to the PID control algorithm and the water flow-dosing flow mapping model, and feedforward compensation is performed in combination with the water flow change; Output valve opening control signal and dosing pump frequency control signal to drive the actuator to adjust the dosage of the reagent.

[0029] The present invention establishes a closed-loop method of "data acquisition → deviation calculation → feedforward compensation → execution", forming full-process automated management from data acquisition to execution feedback. By real-time acquisition of multi-source sensor data (such as flow, pressure, temperature, etc.), the system can dynamically perceive changes in dosing conditions. The preprocessing module filters, reduces noise and performs standardization conversion on the original data to ensure that the data input into the control algorithm has high reliability. The dosing flow deviation is calculated based on standardized parameters, and the PID algorithm is combined with the water inlet flow-dosing flow mapping model to generate precise control quantities, which significantly improves the control accuracy. The introduction of the feedforward compensation mechanism further optimizes the dynamic response speed, so that the system can maintain stable output when the water inlet flow changes suddenly. Finally, the precise adjustment of the agent addition is achieved through the coordinated output of the valve opening signal and the dosing pump frequency signal.

[0030] Traditional dosing systems rely on manual experience or open-loop control, making them difficult to cope with dynamic changes in complex operating conditions, resulting in large fluctuations in dosing volume and delayed response. This claim addresses the low control accuracy and slow dynamic response issues of existing technologies through closed-loop control and feedforward compensation, making it particularly suitable for applications in pharmaceuticals, chemical engineering, and other fields with stringent dosing precision requirements.

[0031] Specifically, the feedforward compensation includes: Detect water inlet flow mutation signal; Generate a compensating control amount that is opposite to the flow rate change trend, and adjust the valve opening and dosing pump frequency in advance.

[0032] By pre-compensating for flow mutations, the lag time is shortened to milliseconds, solving the technical problem of process fluctuations caused by water inlet mutations.

[0033] The present invention innovatively introduces flow mutation detection and reverse compensation control into the feedforward compensation mechanism, significantly improving the system's anti-interference ability. When a sudden change in the water inlet flow is detected, the system will generate a compensation control quantity in advance that is opposite to the flow change trend, and dynamically adjust the valve opening and the dosing pump frequency. This predictive control strategy effectively reduces the overshoot or undershoot problems caused by the hysteresis of the traditional PID algorithm, allowing the dosing flow to quickly stabilize near the set value. Experimental data show that this mechanism can shorten the recovery time of flow mutations by more than 50%, ensuring process stability.

[0034] Conventional PID control relies solely on deviation feedback and is unable to promptly respond to disturbances such as sudden changes in influent flow, leading to large fluctuations in dosage and exceeding process parameters. This invention addresses the control lag problem under dynamic conditions through feedforward compensation, making it particularly suitable for industrial scenarios with frequent influent flow fluctuations.

[0035] Specifically, the preprocessing includes: Filter and reduce noise on the raw sensor data and output a smoothed data sequence; Convert the current signal into physical quantity value and output standardized process parameters.

[0036] Based on filtering noise reduction + signal standardization, data reliability is improved to avoid false operation caused by sensor noise.

[0037] This invention significantly improves the reliability and usability of sensor data through the data preprocessing module. Filtering and noise reduction techniques (such as sliding average filtering) effectively eliminate high-frequency noise and random interference in sensor signals, outputting a smooth data sequence. The current signal conversion module converts industrial standard signals (such as 4-20mA) into physical quantities, ensuring consistent dimension and accuracy for data from different sensors. This step provides highly reliable input for subsequent deviation calculation and control variable generation, avoiding malfunctions caused by data noise.

[0038] Industrial field sensor data is often affected by electromagnetic interference, signal drift, and other issues, leading to inaccurate control algorithm input. This invention solves the control failure problem caused by data noise through standardized preprocessing, thereby improving the robustness of the system.

[0039] Specifically, it also includes fault diagnosis and protection steps: Real-time monitoring of valve opening, dosing flow, pipeline pressure difference and motor current; When blockage, leakage, or overload characteristics are detected, graded response actions are taken based on the severity of the fault, replacing manual inspections and preventing major accidents.

[0040] This invention establishes a comprehensive fault diagnosis system by real-time monitoring of multi-dimensional parameters such as valve opening, dosing flow, pipeline pressure differential, and motor current. The system can quickly identify abnormal conditions such as blockage, leakage, and overload, and trigger a graded response based on the severity of the fault. This proactive protection mechanism significantly reduces the risk of production interruptions or safety accidents caused by equipment failure. For example, if an abnormally high pipeline pressure differential is detected, the system can automatically determine the blockage level and take appropriate action, avoiding the delays associated with traditional manual inspections.

[0041] Traditional dosing systems lack real-time fault detection capabilities, requiring only post-processing to identify abnormal conditions, which can easily lead to chain reactions. This invention addresses the issue of delayed fault response through multi-parameter combined diagnosis, significantly improving system safety.

[0042] Specifically, adaptive parameter tuning includes: Dynamically adjust PID control parameters based on historical deviation data; Adopt multi-mode control logic switching control strategy, including fixed value control, proportional control and adaptive control mode.

[0043] This invention significantly enhances the system's adaptability through dynamic adjustment of PID parameters and multi-mode control logic. Based on historical deviation data, the system automatically optimizes control parameters (such as proportional gain and integral time) to adapt to fluctuations in water quality or flow rate. Furthermore, intelligent switching between fixed-value control, proportional control, and adaptive control modes further enhances control stability under complex operating conditions.

[0044] In a specific embodiment, a precise drug dosing method based on a smart valve includes: Step 1: System startup: Initialize the PLC controller, valve status, sensor parameters and other hardware; Step 2: Sensor data acquisition: read process parameters such as temperature, pressure, dosing flow, inlet flow, valve feedback, dosing pump frequency, and outlet water quality parameters; Step 3: Data preprocessing: filtering (removing noise and using sliding average filtering to obtain accurate data); unit conversion (converting the on-site DC4-20ma signal to actual values ​​for easy comparison); Step 4: Compare with the set value: Calculate the deviation between the measured value and the target value (Δ = set value - measured value); determine whether the deviation exceeds the allowable range of the set value; Step 5: Calculate the control quantity: Use the PID control algorithm and the PLC's internal preset data model (the data model of the water inlet flow and the dosing flow) to calculate the valve opening adjustment; consider the feedforward compensation of flow changes (for example, increase the dosing amount in advance when the water inlet flow suddenly increases); Step 6: Control signal output: Convert the calculated valve opening (0-100%) into 4-20mA to control the valve opening; when the valve opening is not enough to meet the dosing amount, control the frequency of the dosing pump; Step 7: Drug flow feedback: Use the drug flow meter to verify whether the actual drug amount matches the expected amount; if the deviation is too large, trigger adaptive adjustment (PID parameter self-tuning); Step 8: Maintain or cycle: If the system is stable and does not exceed the set value range, maintain the current valve opening and dosing pump frequency; continue monitoring and enter the next control cycle.

[0045] Specifically, the control logic is described in detail as follows: (1) Core control algorithm: PID + feedforward compensation Proportional term (P): responds quickly to deviations but may produce steady-state errors.

[0046] Integral term (I): Eliminates steady-state error but may cause overshoot.

[0047] Differential term (D): suppresses oscillations and improves stability.

[0048] Feedforward compensation: Adjust the valve in advance according to flow changes to reduce the effect of hysteresis.

[0049] (2) Multi-mode control logic

[0050] (3) Security protection logic Valve fault detection: If the valve opening setting value is inconsistent with the feedback value, an alarm is triggered; If there is no flow signal for a long time, it is judged as a blockage; Extreme value protection: When the outlet water quality parameters exceed the safe range, close the valve immediately and stop adding medicine.

[0051] Specifically, the key parameters are set as follows:

[0052] Specifically, if Figure 2 As shown, the congestion response operations include: If the mild blockage condition is met, the pulse flushing mode is activated; If the moderate blockage condition is met, switch to the backup dosing line; If severe blockage conditions are met, perform an emergency shutdown and close the upstream valve.

[0053] This invention incorporates a three-tiered response strategy for blockage failures, optimizing fault handling. In the case of mild blockage, the system activates pulse flushing mode, generating pressure shock waves by frequently opening and closing valves to clear the pipeline and avoid downtime. In the case of moderate blockage, the system automatically switches to a backup dosing line to ensure production continuity. In the case of severe blockage, the system immediately shuts down and closes upstream valves to prevent equipment damage. This tiered response mechanism avoids the waste of resources caused by excessive maintenance while ensuring system safety in extreme situations.

[0054] Specifically, leak response operations include: Locate the leak point by pressure decay rate or acoustic emission signal; In case of small leaks, switch to the backup circuit and start the collection device; In case of large leakage, close the upstream valve and interlock to stop the pump.

[0055] This invention uses technologies such as pressure decay testing and acoustic emission detection to rapidly locate leaks and address them in a graded manner. In the event of a minor leak, the system switches to a backup circuit and activates a collection device to prevent the spread of contaminants. In the event of a major leak, an interlock closes the upstream valve and dosing pump, triggering an emergency shutdown. This refined leak management strategy effectively reduces environmental risks and the risk of equipment corrosion.

[0056] Specifically, the congestion protection is implemented as follows: (1) Blockage detection method ① Flow-pressure combined criterion Normal working condition: valve opening 50% → flow rate Q=5m³ / h, pipeline pressure P=0.3MPa Blockage judgment: Condition 1: Valve opening > 70% and Q < 2m³ / h (insufficient flow) Condition 2: ΔP>0.5MPa (the pressure difference before and after the valve is abnormal) Condition 3: Motor current increases by 30% (driving resistance increases) ② Dynamic response detection In a specific embodiment, the system monitors the pipeline blockage status in real time by combining multiple parameters to perform the following hierarchical judgment process: 1. First-level condition judgment: When it is monitored that (valve opening > 70%) and (actual flow < 40% of the set flow), it is determined to be an abnormal flow state and the second level condition judgment is triggered.

[0057] 2. Second level condition judgment: Pressure judgment branch: If (current pressure - reference pressure) > 0.5Mpa, it is determined to be an abnormal pressure difference blockage and a blockage alarm is triggered.

[0058] Current judgment branch: If (motor current > 130% of rated current), it is judged as overload type jam and also triggers the jam alarm.

[0059] (2) Graded response strategy

[0060] (3) Typical parameter settings In a specific embodiment, the congestion protection parameters include: Triggered when the flow rate is 40% lower than the set value; The pressure difference threshold is 0.5MPa; The motor overload threshold is 130% of the rated value; The duration of abnormality (to prevent false alarms) is 5 seconds.

[0061] Specifically, leakage localization technology such as Figure 3 As shown, (1) Leak detection method - real-time monitoring means Pressure decay test: Pressure drops >10% within 5 minutes after closing the valve → Leakage Ultrasonic testing: Install an acoustic emission sensor at the flange (detects 30-50kHz leakage noise) Visual assistance (optional): infrared thermal imaging to detect abnormal temperature distribution in pipelines (3) Emergency response process 1. Small leak (<1L / min): Automatically switch to the backup circuit; activate the leak collection device 2. Large leak (≥1L / min): Close the upstream electric shut-off valve within 0.5 seconds; start the ventilation system (to prevent the accumulation of toxic gases); interlock the pump and trigger the ESD (emergency shutdown system) Specifically, overload protection is implemented as follows: (1) Overload detection dimension

[0062] (2) Dynamic load adjustment algorithm In a specific embodiment, the system implements equipment overload protection through multi-sensor collaborative monitoring and a hierarchical response mechanism, specifically performing the following process: 1. Real-time data collection Continuously read motor current and vibration acceleration sensor data; monitor temperature as an auxiliary criterion.

[0063] 2. Compound condition judgment and response Primary overload determination: When the following conditions are met simultaneously: a) motor current > 110% of rated value and b) vibration acceleration > 4.0m / s², the system operates at reduced load: reduce valve speed by 50%.

[0064] Secondary verification: If the operating conditions do not improve within 30 seconds after load reduction (the above conditions are still met), an emergency shutdown is triggered.

[0065] 3. Independent temperature protection channel When the temperature is > 90°C (regardless of current / vibration status): immediate hardware shutdown.

[0066] Specifically, the three-state linkage protection logic is as follows: Figure 4 As shown, In the shutdown protection sequence, the time axis is as follows: 0ms: Fault trigger 50ms: Complete multi-sensor data freezing (retaining a snapshot of data at the moment of failure) 100ms: Close the main valve and start braking (electric valve reverse power supply fast braking) 300ms: Switch to safety circuit (if nitrogen purge is enabled) 500ms: Send SOE (Sequence of Events) to the central control system Specifically, the engineering case data - acid dosing system overload protection is as follows: (1) Fault phenomenon: The valve is stuck, causing the motor current to rise to 18A (rated 15A) Vibration value reaches 7.2m / s² (2) System response: Trigger hardware overcurrent protection (relay tripping) within 20ms At the same time, the software records the fault waveform: In a specific embodiment, the system records changes in key parameters when an overload fault occurs, and the data is interpreted as follows:

[0067] (3) Subsequent processing: Automatically generate a fault report indicating "rust on mechanical transmission parts" Prompt maintenance personnel to replace the valve stem and add grease Specifically, the advanced functions are extended as follows: (1) Training data: Historical fault samples (200 sets each of blockage / leakage / overload); Input characteristics: valve action frequency, pressure fluctuation spectrum, motor current harmonics Output: Failure probability in the next 72 hours (preemptive maintenance when output confidence > 85%).

[0068] (2) Digital Twin Verification Injecting faults into the virtual model: ①Fault type: Pipeline blockage ② Blockage severity: 60% (partial blockage) ③Fault duration: 120 seconds Verify that the actual system detects the fault within the preset time of 55±3 seconds and triggers the correct protection sequence.

[0069] Through the above mechanism, the system can achieve: Blockage detection accuracy ≥ 99.7% (false alarm rate < 0.1%); Leakage response time ≤ 200ms; The overload protection action complies with IEC 60947 standard.

[0070] Example 2 like Figure 2 This embodiment provides a precise dosing system based on an intelligent valve, comprising: Data acquisition unit, used to collect multi-source sensor data of the dosing system in real time; A data preprocessing unit, configured to preprocess the multi-source sensor data and output standardized process parameters; a deviation calculation unit, configured to calculate a deviation between a measured value of a dosing flow rate and a set value based on the standardized process parameters; The feedforward compensation unit is used to generate the valve opening control amount according to the PID control algorithm and the water flow-dosing flow mapping model when the deviation exceeds the preset threshold, and perform feedforward compensation in combination with the water flow change; The precision dosing unit is used to output valve opening control signals and dosing pump frequency control signals to drive the actuator to adjust the dosage of the reagent.

[0071] Example 3 This embodiment provides a precise drug-dosing device based on a smart valve, which includes a memory and a processor; the memory is used to store a computer program; and the processor is used to implement the precise drug-dosing method based on the smart valve when executing the computer program.

[0072] The processor is connected to the memory, and the above-mentioned one or more computer programs are stored in the memory. When the electronic device is running, the processor executes the one or more computer programs stored in the memory to enable the electronic device to execute the method described in the above-mentioned embodiment 1.

[0073] It should be understood that in this embodiment, the processor may be a central processing unit (CPU), or may be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), off-the-shelf field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0074] The memory may include a read-only memory and a random access memory, and provides instructions and data to the processor. A portion of the memory may also include a non-volatile random access memory. For example, the memory may also store information about the device type.

[0075] During implementation, each step of the above method may be completed by an integrated logic circuit of hardware in a processor or by instructions in the form of software.

[0076] The method in Example 1 can be directly implemented as being executed by a hardware processor, or by a combination of hardware and software modules within the processor. The software module can be located in a storage medium well-established in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. The storage medium is located in the memory, and the processor reads the information in the memory and, in conjunction with its hardware, completes the steps of the above method. To avoid repetition, a detailed description is not given here.

[0077] Those skilled in the art will appreciate that the units and algorithm steps of the various examples described in conjunction with this embodiment can be implemented using electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0078] Example 4 Yet another embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the above-mentioned precise drug-adding method based on the smart valve is implemented.

[0079] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM). In this application, the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiments of the present invention. In addition, the functional units in the various embodiments of the present invention can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0080] Although the present invention is disclosed as above, the scope of protection disclosed by the present invention is not limited thereto. Those skilled in the art may make various changes and modifications without departing from the spirit and scope of the present invention, and these changes and modifications will fall within the scope of protection of the present invention.

Claims

1. A precise dosing method based on an intelligent valve, characterized in that: include: Real-time collection of multi-source sensor data of the dosing system; Preprocessing the multi-source sensor data and outputting standardized process parameters; Based on the standardized process parameters, calculating the deviation between the actual value of the dosing flow rate and the set value; When the deviation exceeds the preset threshold, the valve opening control amount is generated according to the PID control algorithm and the water flow-dosing flow mapping model, and feedforward compensation is performed in combination with the water flow change; Output valve opening control signal and dosing pump frequency control signal to drive the actuator to adjust the dosage of the reagent.

2. The method according to claim 1, wherein The feedforward compensation includes: Detect water inlet flow mutation signal; Generate a compensating control amount that is opposite to the flow rate change trend, and adjust the valve opening and dosing pump frequency in advance.

3. The method according to claim 1, wherein The pretreatment includes: Filter and reduce noise on the raw sensor data and output a smoothed data sequence; Convert the current signal into physical quantity value and output standardized process parameters.

4. The method according to claim 1, wherein Also includes fault diagnosis and protection steps: Real-time monitoring of valve opening, dosing flow, pipeline pressure difference and motor current; When blockage, leakage, or overload signatures are detected, graded response actions are taken based on the severity of the fault.

5. The method according to claim 4, wherein Congestion response actions include: If the mild blockage condition is met, the pulse flushing mode is activated; If the moderate blockage condition is met, switch to the backup dosing line; If severe blockage conditions are met, perform an emergency shutdown and close the upstream valve.

6. The method according to claim 4, wherein Spill response actions include: Locate the leak point by pressure decay rate or acoustic emission signal; In case of small leaks, switch to the backup circuit and start the collection device; In case of large leakage, close the upstream valve and interlock to stop the pump.

7. The method according to claim 1, wherein Adaptive parameter tuning includes: Dynamically adjust PID control parameters based on historical deviation data; Adopt multi-mode control logic switching control strategy, including fixed value control, proportional control and adaptive control mode.

8. A precise dosing system based on intelligent valves, characterized in that: include: Data acquisition unit, used to collect multi-source sensor data of the dosing system in real time; A data preprocessing unit, configured to preprocess the multi-source sensor data and output standardized process parameters; a deviation calculation unit, configured to calculate a deviation between a measured value of a dosing flow rate and a set value based on the standardized process parameters; The feedforward compensation unit is used to generate the valve opening control amount according to the PID control algorithm and the water flow-dosing flow mapping model when the deviation exceeds the preset threshold, and perform feedforward compensation in combination with the water flow change; The precision dosing unit is used to output valve opening control signals and dosing pump frequency control signals to drive the actuator to adjust the dosage of the reagent.

9. A precise dosing device based on an intelligent valve, characterized in that: The device includes a memory and a processor; the memory is used to store a computer program; and the processor is used to implement the precise drug dosing method based on an intelligent valve as described in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that The storage medium stores a computer program, and when the computer program is executed by the processor, the precise drug dosing method based on the smart valve as described in any one of claims 1 to 7 is implemented.

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