CN121554078A - Intelligent multi-mode fusion water treatment closed-loop control system and method - Google Patents
Intelligent multi-mode fusion water treatment closed-loop control system and methodInfo
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- CN121554078A CN121554078A CN202610100673.7A CN202610100673A CN121554078A CN 121554078 A CN121554078 A CN 121554078A CN 202610100673 A CN202610100673 A CN 202610100673A CN 121554078 A CN121554078 A CN 121554078A
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/66—Treatment of water, waste water, or sewage by neutralisation; pH adjustment
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Program-control systems
- G05B19/02—Program-control systems electric
- G05B19/04—Program control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Program control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0423—Input/output
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/02—Temperature
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/06—Controlling or monitoring parameters in water treatment pH
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- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2209/00—Controlling or monitoring parameters in water treatment
- C02F2209/10—Solids, e.g. total solids [TS], total suspended solids [TSS] or volatile solids [VS]
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Abstract
The invention discloses an intelligent multi-mode fusion water treatment closed-loop control system and method, and belongs to the technical field of water treatment control systems. The control system comprises a chemical working platform, a dual-core intelligent control module, a multi-mode data acquisition module and a cloud server. According to the invention, through multi-mode data fusion, intelligent prejudgment algorithm, dual-core architecture and cloud LLM diagnosis, automation, high-precision control and intelligent decision of the water treatment titration process are realized, the medicament consumption is reduced, and the safety and operation and maintenance efficiency of the water treatment reaction are improved.
Description
Technical Field
The invention belongs to the technical field of water treatment control systems, and particularly relates to an intelligent multi-mode fusion water treatment closed-loop control system and method.
Background
Along with the acceleration of modern industrial production and urban processes, water treatment demands are growing increasingly, and particularly in the fields of industrial wastewater treatment, municipal wastewater treatment and the like, the accurate control of the pH value of wastewater is a key link for ensuring standard discharge of the treated wastewater, reducing treatment cost and ensuring reaction safety. The pH value control of the solution is the core operation widely applied to the processes of neutralization, heavy metal precipitation and the like in the water treatment process, and the pH value of the wastewater is stabilized in a preset range by accurately dripping an acidic or alkaline agent into the wastewater system to perform neutralization reaction. The traditional pH closed-loop control system for water treatment is mainly dependent on a single pH sensor and a simple PID algorithm to realize constant-speed or linear variable-speed dropwise addition, and has the advantages of simple implementation and direct feedback, but has a plurality of inherent defects, and is difficult to adapt to the requirements of high precision, low consumption and high safety of modern water treatment.
Firstly, the traditional system lacks a titration end point advance pre-judging mechanism, is easy to generate reagent overshoot (Overshoot) phenomenon, causes high consumption of water treatment medicines, has high operation cost and does not meet the environmental protection requirement, secondly, the system only focuses on macroscopic pH change, cannot monitor the temperature gradient of the internal space of wastewater, can cause local thermal runaway in strong exothermic reaction (such as acid-base neutralization reaction) in the water treatment process, has poor safety, and is easy to be influenced by field factors such as ambient light, temperature, humidity and the like, the reliability of sensor data such as a pH meter is low, the water treatment effect is unstable, and furthermore, the traditional equipment lacks intelligent diagnosis capability aiming at the water treatment process, has high experience dependence on operation and maintenance personnel, is difficult to realize remote optimization and intelligent operation and maintenance, and cannot meet the development trend of industrial water treatment scale and intellectualization.
In order to solve the above problems, it is needed to develop a closed-loop control system for water treatment integrating multi-mode sensing, intelligent pre-judging, safety regulation and remote diagnosis functions, so as to realize minimized consumption, high-precision control and high-safety operation of water treatment agents.
Disclosure of Invention
Aiming at the defects of large medicament consumption, low control precision, poor safety, single end point judgment and lack of intelligent diagnosis capability of the traditional water treatment pH closed-loop control system, the invention aims to provide an intelligent multi-mode fusion water treatment closed-loop control system and method, and realizes the automation, high-precision control and intelligent decision of a water treatment titration process through multi-mode data fusion, intelligent pre-judgment algorithm, dual-core architecture and cloud LLM diagnosis, reduces medicament consumption and improves the safety and operation and maintenance efficiency of water treatment reaction.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
in a first aspect, the invention provides an intelligent multi-mode integrated water treatment closed-loop control system, which comprises a chemical working platform, a dual-core intelligent control module, a multi-mode data acquisition module and a cloud server, wherein the chemical working platform is used for adapting to a water treatment scene;
The dual-core intelligent control module is arranged on the electronic control layer, a peristaltic pump, a medicament storage tank and an ultrasonic atomization sheet driving plate are arranged on the fluid control layer, the chemical experiment layer is provided with a water treatment reaction kettle, the medicament storage tank is connected with the water treatment reaction kettle through the peristaltic pump, a magnetic stirrer is arranged on the water treatment reaction kettle, an ultrasonic atomization sheet is arranged in the water treatment reaction kettle, and the ultrasonic atomization sheet is electrically connected with the ultrasonic atomization sheet driving plate;
The dual-core intelligent control module comprises a first microcontroller and a second microcontroller, wherein the first microcontroller is connected with the multi-mode data acquisition module through an I2C bus and is used for real-time data processing, environment self-adaptive calibration and low-layer real-time control;
The peristaltic pump, the magnetic stirrer and the ultrasonic atomizing sheet driving plate are respectively controlled by the first microcontroller to realize accurate dripping of the water treatment medicament, uniform stirring of wastewater and the medicament and emergency cooling;
The multi-mode data acquisition module comprises a pH sensor, a TDS sensor, a thermal imaging lens, a visible spectrum sensor and a ToF ranging module, wherein the pH sensor, the TDS sensor, the thermal imaging lens and the visible spectrum sensor are all arranged on a chemical experiment layer and are respectively used for acquiring the pH value of a solution in a water treatment reaction kettle, TDS change data, the spatial temperature gradient of a reaction system and the chromaticity of the solution in the water treatment reaction kettle in the water treatment process, and the ToF ranging module is arranged on a fluid control layer and is used for acquiring the liquid level change of a medicament storage tank;
The cloud server is used for receiving the encrypted data, calling a pre-trained large language model to comprehensively evaluate and diagnose the data in an expert, generating an expert intelligent diagnosis report aiming at the water treatment process, and outputting optimized control parameters.
Further, the electronic control layer of the layered experiment box is further provided with a man-machine interaction central control screen, and the man-machine interaction central control screen is electrically connected with the first microcontroller.
Further, the multi-mode data acquisition module further comprises an environment sensing unit, wherein the environment sensing unit comprises an environment light sensor and a temperature, humidity and air pressure sensor and is used for acquiring illumination, temperature, humidity and air pressure data of the surrounding environment of the water treatment reaction kettle, and the environment light sensor and the temperature, humidity and air pressure sensor are electrically connected with the first microcontroller.
Further, the system also comprises an external storage device, wherein the external storage device is used for recording local logs and historical operation data, so that iterative updating of control data is facilitated, and the external storage device is electrically connected with the second microcontroller.
The pH sensor is arranged above the water treatment reaction kettle in a hoisting mode, the probe is immersed below the liquid level of the wastewater and keeps a safe distance from a magnetic stirrer arranged in the water treatment reaction kettle, the TDS sensor is immersed in the wastewater solution by adopting a corrosion-resistant material and is arranged at intervals with the pH sensor, the thermal imaging lens and the visible spectrum sensor are arranged in a non-contact mode through a transparent window, a visual field covers a key area of the water treatment reaction kettle, and the installation distance is 3-8 cm from the liquid level.
In a second aspect, the invention provides an intelligent multi-mode fusion water treatment closed-loop control method, which is realized based on the intelligent multi-mode fusion water treatment closed-loop control system, and comprises the following steps:
S1, inputting parameters of a water treatment target pH range, a target pollutant concentration standard, a TDS pre-judging threshold value and a safe temperature gradient threshold value through a man-machine interaction central control screen;
S2, starting a system, namely dripping a treatment agent into the wastewater by a peristaltic pump according to an initial speed, starting a magnetic stirrer, synchronously acquiring pH value of the wastewater, TDS change data, spatial temperature gradient of a reaction system, chromaticity of the wastewater, liquid level change of a medicament storage tank and environmental temperature/humidity/illumination/air pressure data by a multi-mode data acquisition module, and transmitting the data to a first microcontroller;
S3, the first microcontroller executes environment self-adaptive calibration, calculates TDS change slope d (TDS)/dt, spatial temperature gradient GT and chromaticity change rate dC/dt in real time, and executes medicament minimization titration control and safety-uniformity self-adaptive adjustment of the water treatment process based on the data;
s4, the first microcontroller judges the end point of the water treatment reaction based on the fusion strategy of the pH and the target pollutant concentration, if the end point is not reached, the step S3 is returned to carry out continuous closed-loop control, and if the end point is reached, the peristaltic pump and the magnetic stirrer are stopped;
and S5, after the whole-course water treatment data are processed by the first microcontroller, the whole-course water treatment data are transmitted to the second microcontroller through the UART/SPI, are stored in an external storage device and are encrypted, and are uploaded to the cloud server through the Wi-Fi, the cloud server calls a pre-trained large language model to comprehensively evaluate and diagnose the water treatment data, generates an expert intelligent diagnosis report aiming at the water treatment process, outputs optimized control parameters, and transmits the optimized control parameters to the second microcontroller through encryption and then transmits the optimized control parameters to the first microcontroller to finish parameter updating.
In step S3, the first microcontroller calls the environmental temperature and humidity and illumination data acquired by the multi-mode data acquisition module, compensates and calibrates the related original readings of the water treatment acquired by the pH sensor and the visible spectrum sensor, counteracts the interference of environmental factors on the sensor data, and improves the detection precision of the water treatment parameters;
further, in step S3, the reagent minimizing titration control is specifically that when d (TDS)/dt is close to a preset TDS pre-judging threshold value, the first microcontroller controls the peristaltic pump to enter a nonlinear deceleration droplet mode, meanwhile, the reagent storage tank liquid level change delta H is monitored through the ToF ranging module, the actual reagent consumption volume delta V is calculated, and the flow coefficient K of the peristaltic pump is calibrated in real time based on the delta V.
Further, in the step S3, the safety-uniformity self-adaptive adjustment is specifically that if the space temperature gradient GT exceeds the safety temperature gradient threshold, the first microcontroller immediately controls the peristaltic pump to stop dripping the medicament, increases the driving power of the ultrasonic atomization sheet to cool and dissipate heat, avoids local thermal runaway caused by strong exothermic reaction in the water treatment process, diagnoses the mixing uniformity of the wastewater and the medicament according to the chromaticity change rate dC/dt, adjusts the rotating speed of the magnetic stirrer in real time, ensures the rapid and uniform mixing of the medicament and the wastewater, and improves the water treatment effect.
Further, in the step S4, the fusion strategy is specifically that when the detection value of the pH sensor falls in the water treatment target pH range input in the step S1, and the target pollutant concentration C obtained by calculation of the data acquired by the visible spectrum sensor through the Lambert-Bell model reaches the preset wastewater discharge standard, the first microcontroller confirms that the water treatment reaction is finished.
Compared with the prior art, the invention has the beneficial technical effects that:
1. The invention realizes the high reliability judgment of the pH titration end point through multi-mode fusion, breaks through the limitation of traditional single factor judgment, adopts the dual conditions of reaching the standard of the pH and reaching the standard of the concentration of the spectral analysis target pollutant, and essentially verifies the thoroughness of the water treatment reaction from chemistry, avoids misjudgment caused by pH fluctuation, and ensures that the treated wastewater stably reaches the standard and is discharged.
2. The water treatment agent consumption is obviously reduced, the peristaltic pump is automatically controlled to enter a micro-droplet mode before the reaction end point by introducing a TDS slope pre-judging and ToF flow calibration mechanism, and meanwhile, the dripping flow is calibrated in real time, so that the agent overshoot is avoided, the water treatment agent consumption can be reduced by 10% -30%, and the running cost is greatly reduced.
3. The invention greatly improves the safety of the water treatment process, monitors the spatial temperature gradient of the reaction system in real time through the thermal imaging lens, quickly reduces the temperature of the linkage ultrasonic atomization sheet in abnormal conditions, effectively inhibits local thermal runaway in strong exothermic reaction, diagnoses the mixing uniformity by combining the chromaticity change rate, avoids potential safety hazard caused by insufficient local reaction, and adapts to the high safety requirement of industrial water treatment.
4. The cloud server LLM intelligent diagnosis provides an expert operation and maintenance report, supports remote fault analysis, maintenance prediction and medicament optimization suggestion, reduces dependence on site professionals, and accords with the development trend of intellectualization and unmanned industrial water treatment.
5. The invention has strong environmental adaptability and stable water treatment effect, realizes the self-adaptive calibration of the sensor through the environmental sensing unit, effectively counteracts the interference of on-site environmental factors such as temperature and humidity, illumination and the like, improves the reliability and control precision of data, and has the advantages that the layered corrosion-resistant structure adapts to the complex environment of corrosive wastewater and medicament in the water treatment process, prolongs the service life of equipment and ensures the long-term operation stability.
Drawings
FIG. 1 is a schematic diagram of a closed loop control system for intelligent multi-modal fusion of water treatment;
FIG. 2 is a control schematic block diagram of an intelligent multi-mode integrated water treatment closed-loop control system;
FIG. 3 is a flow chart of a method of intelligent multi-modal fusion of closed-loop control of water treatment;
FIG. 4 is a flow chart of a method for minimizing intelligent titration of a traditional Chinese medicine agent;
FIG. 5 is a flow chart of a method for adjusting the uniformity of mixing and safety in a self-adaptive manner in the present invention.
Detailed Description
The following detailed description of specific embodiments of the invention refers to the accompanying drawings.
As shown in fig. 1 and 2, the present embodiment provides an intelligent multi-mode integrated water treatment closed-loop control system, which includes a chemical working platform adapted to a water treatment scene, a dual-core intelligent control module, a multi-mode data acquisition module and a cloud server;
The dual-core intelligent control module is arranged on the electronic control layer, a peristaltic pump, a medicament storage tank and an ultrasonic atomization sheet driving plate are arranged on the fluid control layer, the chemical experiment layer is provided with a water treatment reaction kettle, the medicament storage tank is connected with the water treatment reaction kettle through the peristaltic pump, a magnetic stirrer is arranged on the water treatment reaction kettle, an ultrasonic atomization sheet is arranged in the water treatment reaction kettle, and the ultrasonic atomization sheet is electrically connected with the ultrasonic atomization sheet driving plate;
The dual-core intelligent control module comprises a first microcontroller and a second microcontroller, wherein the first microcontroller is connected with the multi-mode data acquisition module through an I2C bus and is used for real-time data processing, environment self-adaptive calibration and low-layer real-time control;
The peristaltic pump, the magnetic stirrer and the ultrasonic atomizing sheet driving plate are respectively controlled by the first microcontroller to realize accurate dripping of the water treatment medicament, uniform stirring of wastewater and the medicament and emergency cooling;
The multi-mode data acquisition module comprises a pH sensor, a TDS sensor, a thermal imaging lens, a visible spectrum sensor and a ToF ranging module, wherein the pH sensor, the TDS sensor, the thermal imaging lens and the visible spectrum sensor are all arranged on a chemical experiment layer and are respectively used for acquiring the pH value of a solution in a water treatment reaction kettle, TDS change data, the spatial temperature gradient of a reaction system and the chromaticity of the solution in the water treatment reaction kettle in the water treatment process, and the ToF ranging module is arranged on a fluid control layer and is used for acquiring the liquid level change of a medicament storage tank;
The cloud server is used for receiving the encrypted data, calling a pre-trained large language model to comprehensively evaluate and diagnose the data in an expert, generating an expert intelligent diagnosis report aiming at the water treatment process, and outputting optimized control parameters.
In the invention, a water treatment closed-loop control system with low medicament consumption, high safety, high precision and high intellectualization is explored based on a multi-sensor fusion algorithm and Large Language Model (LLM) intelligent diagnosis. Various key factors in the control of chemical reactions (such as neutralization reactions) are fully considered, and the following information is input into the intelligent closed-loop control system:
And the reagent consumption information is reagent storage tank liquid level change information acquired by the ToF ranging module and is used for real-time flow calibration.
Titration end point information, namely acquiring solution PH value (pH) information through a pH sensor and acquiring Total Dissolved Solids (TDS) change rate information through a TDS sensor for end point pre-judgment.
Mixing uniformity and safety information, namely acquiring spatial temperature gradient information of a reaction system through a thermal imaging lens and acquiring chromaticity change information through a visible spectrum sensor, and being used for auxiliary diagnosis and safety regulation.
And the environmental interference information is obtained through an environmental light/temperature and humidity air pressure sensor, and is used for calibrating the original readings of the pH sensor and the TDS sensor in real time. Based on the multi-mode information, the system autonomously and intelligently performs closed-loop titration control, and uploads data to the cloud for LLM intelligent diagnosis and parameter optimization through a dual-core architecture.
The corrosion-resistant chemical working platform is characterized in that a liquid contact part of the chemical working platform is made of a corrosion-resistant material and meets the contact requirement of corrosive wastewater and a medicament in the water treatment process, a water treatment reaction kettle and a medicament storage tank are made of borosilicate glass or polypropylene, a peristaltic pump pipe, a fluid pipeline and a pH probe liquid contact part are made of polytetrafluoroethylene or polyethylene, the outer side of a layered experiment box is made of a light aluminum metal frame combined with a polycarbonate transparent protective cover, guide grooves are formed in corrosion-resistant partition plates serving as a fluid control layer and a chemical experiment layer, and an outer discharge interface communicated with the guide grooves is formed in the outer side of the layered experiment box.
In the invention, the peristaltic pump is used for accurately dripping the medicament (such as acid-base solution), and the stepping motor is controlled by PWM pulse modulation technology to adjust the titration speed. In the control logic, the system automatically performs nonlinear deceleration control in combination with TDS slope prediction and ToF flow calibration data to accurately reduce the titration rate to droplet mode near the endpoint. The liquid level height H of the medicament storage tank is monitored in real time through the ToF ranging module, the actual medicament consumption volume delta V is calculated, and the system carries out real-time calibration and correction on the flow coefficient K of the peristaltic pump according to the delta V, so that the absolute accuracy of the dripping quantity is ensured.
According to the invention, the ultrasonic atomizing sheet is used as a safety actuator, the spatial temperature gradient G T obtained by real-time monitoring thermal imaging is adopted, if G T exceeds a safety threshold, the system increases the PWM driving power of the ultrasonic atomizing sheet in a linkage way, and local heat is dispersed by utilizing airflow generated by atomization and rapid evaporation, so that thermal runaway is inhibited, and the safety is improved.
In the invention, key analog signals generated by the pH sensor and the TDS sensor are digitally acquired through the analog-to-digital converter, so that the signal resolution reaches the highest standard. ADS1115 is selected as the analog-to-digital converter, ADS1115 is -bit precise analog-to-digital converter (ADC) , has the characteristics of low power consumption and high precision, is suitable for sensor measurement application with limited space and power consumption, supports accurate measurement of microvolts signals, and has the highest sampling rate of 860SPS . The model that the pH sensor was selected for was PH4502C, the model that the TDS sensor was selected for was WAVGAT TDS module, the model that the first microcontroller was selected for was STM32F407VET6, the model that the second microcontroller was selected for was ESP8266, the model that the peristaltic pump was selected for was coolie 101ADB, the model that the ToF ranging module was selected for was MINIT DVP0501C1, the model that the magnetic stirrer was selected for was MS3, and the model that the thermal imaging lens was selected for was MLX90640BAA.
Specifically, the electronic control layer of layering experiment case still is equipped with the well accuse screen of human-computer interaction, and the well accuse screen of human-computer interaction is connected with first microcontroller electricity.
Specifically, the multimode data acquisition module further comprises an environment sensing unit, wherein the environment sensing unit comprises an environment light sensor and a temperature, humidity and air pressure sensor and is used for acquiring illumination, temperature, humidity and air pressure data of the surrounding environment of the water treatment reaction kettle, and the environment light sensor and the temperature, humidity and air pressure sensor are electrically connected with the first microcontroller.
In the invention, the model of the ambient light sensor is VEML-7700, the model of the temperature, humidity and air pressure sensor is BME280, and the model of the visible spectrum sensor is AS7341.
The system specifically further comprises an external storage device, wherein the external storage device is used for recording local logs and historical operation data, so that iterative updating of control data is facilitated, and the external storage device is electrically connected with the second microcontroller. The external storage device can be an SD card or a Flash chip.
The pH sensor is installed above the water treatment reaction kettle in a hoisting mode, the probe is immersed below the liquid level of the wastewater and keeps a safe distance from a magnetic stirrer placed in the water treatment reaction kettle, the TDS sensor is immersed in the wastewater solution by adopting a corrosion-resistant material and is arranged at intervals from the pH sensor, the thermal imaging lens and the visible spectrum sensor are installed in a non-contact mode through a transparent window, a visual field covers a key area of the water treatment reaction kettle, and the installation distance is 3-8 cm from the liquid level.
As shown in fig. 3, based on the above-mentioned intelligent multi-mode fusion water treatment closed-loop control system, the embodiment also provides an intelligent multi-mode fusion water treatment closed-loop control method, which comprises the following steps:
S1, inputting parameters of a water treatment target pH range, a target pollutant concentration standard, a TDS pre-judging threshold value and a safe temperature gradient threshold value through a man-machine interaction central control screen;
S2, starting a system, namely dripping a treatment agent into the wastewater by a peristaltic pump according to an initial speed, starting a magnetic stirrer, synchronously acquiring pH value of the wastewater, TDS change data, spatial temperature gradient of a reaction system, chromaticity of the wastewater, liquid level change of a medicament storage tank and environmental temperature/humidity/illumination/air pressure data by a multi-mode data acquisition module, and transmitting the data to a first microcontroller;
S3, the first microcontroller executes environment self-adaptive calibration, calculates TDS change slope d (TDS)/dt, spatial temperature gradient GT and chromaticity change rate dC/dt in real time, and executes medicament minimization titration control and safety-uniformity self-adaptive adjustment of the water treatment process based on the data;
s4, the first microcontroller judges the end point of the water treatment reaction based on the fusion strategy of the pH and the target pollutant concentration, if the end point is not reached, the step S3 is returned to carry out continuous closed-loop control, and if the end point is reached, the peristaltic pump and the magnetic stirrer are stopped;
and S5, after the whole-course water treatment data are processed by the first microcontroller, the whole-course water treatment data are transmitted to the second microcontroller through the UART/SPI, are stored in an external storage device and are encrypted, and are uploaded to the cloud server through the Wi-Fi, the cloud server calls a pre-trained large language model to comprehensively evaluate and diagnose the water treatment data, generates an expert intelligent diagnosis report aiming at the water treatment process, outputs optimized control parameters, and transmits the optimized control parameters to the second microcontroller through encryption and then transmits the optimized control parameters to the first microcontroller to finish parameter updating.
In step S3, the first microcontroller calls the environmental temperature and humidity and illumination data acquired by the multi-mode data acquisition module, compensates and calibrates the related original readings of the water treatment acquired by the pH sensor and the visible spectrum sensor, counteracts the interference of environmental factors on the sensor data, and improves the detection precision of the water treatment parameters;
Referring to fig. 4, in step S3, the agent minimization titration control is specifically that when d (TDS)/dt is close to a preset TDS preset threshold, the first microcontroller controls the peristaltic pump to enter a nonlinear deceleration droplet mode;
In a preferred embodiment, the first microcontroller collects the instantaneous total dissolved solids concentration TDS (t) of the wastewater by the TDS sensor at a fixed sampling period Δt, and calculates the TDS change rate d (TDS)/dt by using two adjacent sampling values, specifically:
d(TDS)/dt=(TDS(t)-TDS(t-Δt))/dt
Wherein, Δt value range is 1~5s, and the pre-judgement threshold τ_TDS of TDS change rate is obtained in advance according to target operating mode calibration, when satisfying the following formula, it is close to the TDS pre-judgement threshold of predetermineeing to judge d (TDS)/dt:
∣d(TDS)/dt-τ_TDS∣/τ_TDS≤δ_TDS
the delta_tds is an allowable relative deviation coefficient, preferably 0.1 to 0.3, and more preferably 0.2. To avoid erroneous decisions caused by transient noise, the first microcontroller preferably determines That D (TDS)/dt is close to τ_tds only when the TDS sensor satisfies the above condition for N consecutive samples (e.g., n=3 to 5).
Meanwhile, the ToF ranging module is used for monitoring the liquid level change delta H of the medicament storage tank, calculating the actual medicament consumption volume delta V and calibrating the flow coefficient K of the peristaltic pump in real time based on the delta V. And K_flow is the value of the flow coefficient K of the peristaltic pump at the current time.
In a preferred embodiment, the flow coefficient K of the peristaltic pump is defined and calculated by the formula K=DeltaV/(Deltat×n), deltat being the time interval and n being the operating speed of the peristaltic pump.
ΔH is the difference between the liquid level and the liquid level measured by the ToF ranging module, and the expression is ΔH=h (t) -H (t- Δt), wherein H (t) represents the liquid level measured by the ToF ranging module at time t.
The expression of the actual medicine consumption volume Δv is Δv=s×Δh, where S is the liquid surface area of the medicine tank.
Calibration triggering conditions such as "after each dose of agent is administered" or "when a deviation of K from the calibrated value by more than + -x% is detected" initiate calibration.
In the invention, the change slope d (TDS)/dt of the TDS signal is used as an early warning signal of a titration end point, and when the slope approaches zero, the control system immediately instructs the peristaltic pump to enter a nonlinear speed-down droplet mode, so that the dripping is accurately stopped before the end point.
Referring to fig. 5, in step S3, the safety-uniformity adaptive adjustment is specifically that if the spatial temperature gradient g_t exceeds the safety temperature gradient threshold, the first microcontroller immediately controls the peristaltic pump to stop dripping the medicament, increases the driving power of the ultrasonic atomizing sheet to cool and dissipate heat, and avoids local thermal runaway caused by strong exothermic reaction in the water treatment process;
in a preferred embodiment, the thermal imaging lens used in the safety detection cycle is a two-dimensional thermal imaging sensor, the temperature distribution of the monitored area is collected, and the temperature data of the thermal imaging array at time t is recorded as (T). The first microcontroller first calculates a maximum temperature t_max of the region, where t_max is the maximum value among all pixels of the current frame, and an average temperature t_avg, which is an arithmetic average of all pixel temperatures of the current frame.
Based on T_max and T_avg, a spatial temperature gradient index G_T is defined for characterizing the deviation degree of the local hot spot relative to the overall average temperature, specifically:
G_T=T_max-T_avg
When the G_T is larger, the obvious local overheating phenomenon or uneven temperature aggravation occurs in the monitoring area, and the safety risk exists.
In order to give clear early warning triggering conditions, a temperature gradient safety threshold tau_G is calibrated in advance according to the highest temperature rise and historical operation data allowed by the equipment. When G_T > τ_G is satisfied, it is determined that the current spatial temperature gradient exceeds a safety threshold. The controller triggers linkage control, namely, the peristaltic pump PWM is reduced, the atomizing sheet PWM is increased so as to reduce reaction heat and local temperature rise, and when G_T is less than or equal to tau_G, the controller is considered to be in a safe state, and the current dropping speed and atomizing power are kept unchanged. τ—g may be set to 1-5 ℃, more preferably 2-3 ℃, depending on the different equipment and operating conditions.
According to the mixing uniformity of the chromaticity change rate dC/dt diagnosis wastewater and the medicament, the rotating speed of the magnetic stirrer is adjusted in real time, the medicament and the wastewater are ensured to be mixed rapidly and uniformly, and the water treatment effect is improved.
DC/dt is calculated by collecting the chromaticity C of the visible spectrum sensor once every deltat seconds and calculating dC/dt=-)/Δt。
Homogeneity criterion when |dC/dt| >Indicating insufficient mixing, when |dC/dt|| <Indicating that the mixture was homogeneous.
Rotation speed regulation rule, if |dC/dt| >The rotation speed delta nrpm is increased, and if |dC/dt|| <, the rotation speed is increased within T secondsThe rotational speed is reduced to save energy, wherein,、Are all set values of chromaticity change rate, are set according to the required value of actual reaction working condition, and are usuallyCan be set to 1.5-3.0 Abs/min, more preferably 2.0Abs/min; Can be set to 0.1 to 0.5Abs/min, more preferably 0.2Abs/min.
Specifically, in step S4, the fusion strategy is specifically that when the detection value of the pH sensor falls within the target pH range of the water treatment input in step S1, and the target pollutant concentration C (i.e., c_ polluant) obtained by calculating the data collected by the visible spectrum sensor through the lambert-beer model reaches the preset wastewater discharge standard, the first microcontroller confirms that the water treatment reaction is finished.
The expression of the lambertian-beer model is: wherein a is absorbance, a= ,Is the incident light intensity of pure water, I is the transmitted light intensity of the wastewater collected by a visible spectrum sensor, K is the light absorption coefficient, K is the inherent attribute of pollutants, and the absorption rate under specific wavelength needs to be calibrated in advance, and the K value is 0.05-0.5Preferably 0.1L is the optical path, i.e. the distance the light passes through the water (e.g. cuvette thickness or probe spacing, typically fixed, e.g. 1 cm).
The foregoing description of the preferred embodiments of the present invention is provided for illustration and not for limitation, and it is intended by the appended claims to cover all such modifications, equivalents, and improvements as fall within the true spirit and scope of the invention.
Claims (10)
1. The intelligent multi-mode integrated water treatment closed-loop control system is characterized by comprising a chemical working platform, a dual-core intelligent control module, a multi-mode data acquisition module and a cloud server, wherein the chemical working platform is used for adapting to a water treatment scene;
The dual-core intelligent control module is arranged on the electronic control layer, a peristaltic pump, a medicament storage tank and an ultrasonic atomization sheet driving plate are arranged on the fluid control layer, the chemical experiment layer is provided with a water treatment reaction kettle, the medicament storage tank is connected with the water treatment reaction kettle through the peristaltic pump, a magnetic stirrer is arranged on the water treatment reaction kettle, an ultrasonic atomization sheet is arranged in the water treatment reaction kettle, and the ultrasonic atomization sheet is electrically connected with the ultrasonic atomization sheet driving plate;
The dual-core intelligent control module comprises a first microcontroller and a second microcontroller, wherein the first microcontroller is connected with the multi-mode data acquisition module through an I2C bus and is used for real-time data processing, environment self-adaptive calibration and low-layer real-time control;
The peristaltic pump, the magnetic stirrer and the ultrasonic atomizing sheet driving plate are respectively controlled by the first microcontroller to realize accurate dripping of the water treatment medicament, uniform stirring of wastewater and the medicament and emergency cooling;
The multi-mode data acquisition module comprises a pH sensor, a TDS sensor, a thermal imaging lens, a visible spectrum sensor and a ToF ranging module, wherein the pH sensor, the TDS sensor, the thermal imaging lens and the visible spectrum sensor are all arranged on a chemical experiment layer and are respectively used for acquiring the pH value of a solution in a water treatment reaction kettle, TDS change data, the spatial temperature gradient of a reaction system and the chromaticity of the solution in the water treatment reaction kettle in the water treatment process, and the ToF ranging module is arranged on a fluid control layer and is used for acquiring the liquid level change of a medicament storage tank;
The cloud server is used for receiving the encrypted data, calling a pre-trained large language model to comprehensively evaluate and diagnose the data in an expert, generating an expert intelligent diagnosis report aiming at the water treatment process, and outputting optimized control parameters.
2. The intelligent multi-mode fusion water treatment closed-loop control system of claim 1, wherein the electronic control layer of the layered experiment box is further provided with a man-machine interaction central control screen, and the man-machine interaction central control screen is electrically connected with the first microcontroller.
3. The intelligent multi-mode fused water treatment closed-loop control system of claim 1, wherein the multi-mode data acquisition module further comprises an environment sensing unit, the environment sensing unit comprises an environment light sensor and a temperature, humidity and air pressure sensor, the environment light sensor, the temperature, the humidity and the air pressure sensor are used for acquiring illumination, temperature, humidity and air pressure data of the surrounding environment of the water treatment reaction kettle, and the environment light sensor, the temperature, the humidity and the air pressure sensor are electrically connected with the first microcontroller.
4. The intelligent multi-mode integrated water treatment closed-loop control system according to claim 1, further comprising an external storage device, wherein the external storage device is used for recording local logs and historical operation data, so that iterative updating of control data is facilitated, and the external storage device is electrically connected with the second microcontroller.
5. The intelligent multi-mode fusion water treatment closed-loop control system is characterized in that the pH sensor is installed above a water treatment reaction kettle in a hoisting mode, a probe is immersed below the liquid level of wastewater and keeps a safe distance with a magnetic stirrer placed in the water treatment reaction kettle, the TDS sensor is immersed in wastewater solution by adopting a corrosion-resistant material and is arranged at intervals with the pH sensor, the thermal imaging lens and the visible spectrum sensor are installed in a non-contact mode through a transparent window, a visual field covers a key area of the water treatment reaction kettle, and the installation distance is 3-8 cm from the liquid level.
6. An intelligent multi-mode fusion water treatment closed-loop control method based on the intelligent multi-mode fusion water treatment closed-loop control system of any one of claims 1-5, which is characterized by comprising the following steps:
S1, inputting parameters of a water treatment target pH range, a target pollutant concentration standard, a TDS pre-judging threshold value and a safe temperature gradient threshold value through a man-machine interaction central control screen;
S2, starting a system, namely dripping a treatment agent into the wastewater by a peristaltic pump according to an initial speed, starting a magnetic stirrer, synchronously acquiring pH value of the wastewater, TDS change data, spatial temperature gradient of a reaction system, chromaticity of the wastewater, liquid level change of a medicament storage tank and environmental temperature/humidity/illumination/air pressure data by a multi-mode data acquisition module, and transmitting the data to a first microcontroller;
S3, executing environment self-adaptive calibration by the first microcontroller, calculating a TDS change slope d (TDS)/dt, a space temperature gradient G T and a chromaticity change rate dC/dt in real time, and executing medicament minimization titration control and safety-uniformity self-adaptive adjustment in the water treatment process based on the data;
s4, the first microcontroller judges the end point of the water treatment reaction based on the fusion strategy of the pH and the target pollutant concentration, if the end point is not reached, the step S3 is returned to carry out continuous closed-loop control, and if the end point is reached, the peristaltic pump and the magnetic stirrer are stopped;
and S5, after the whole-course water treatment data are processed by the first microcontroller, the whole-course water treatment data are transmitted to the second microcontroller through the UART/SPI, are stored in an external storage device and are encrypted, and are uploaded to the cloud server through the Wi-Fi, the cloud server calls a pre-trained large language model to comprehensively evaluate and diagnose the water treatment data, generates an expert intelligent diagnosis report aiming at the water treatment process, outputs optimized control parameters, and transmits the optimized control parameters to the second microcontroller through encryption and then transmits the optimized control parameters to the first microcontroller to finish parameter updating.
7. The intelligent multi-mode fusion water treatment closed-loop control method according to claim 6, wherein in the step S3, the environment self-adaptive calibration is specifically that the first microcontroller calls environment temperature and humidity and illumination data acquired by the multi-mode data acquisition module, compensates and calibrates water treatment related original readings acquired by the pH sensor and the visible spectrum sensor, and counteracts interference of environmental factors on sensor data.
8. The intelligent multi-mode fusion water treatment closed-loop control method according to claim 6, wherein in the step S3, the reagent minimizing titration control is specifically that when d (TDS)/dt is close to a preset TDS pre-judging threshold value, the first microcontroller controls the peristaltic pump to enter a nonlinear speed-reducing droplet mode, meanwhile, the liquid level change delta H of the reagent storage tank is monitored through the ToF ranging module, the actual reagent consumption volume delta V is calculated, and the flow coefficient K of the peristaltic pump is calibrated in real time based on the delta V.
9. The intelligent multi-mode fusion closed-loop control method for water treatment according to claim 6, wherein in the step S3, the safety-uniformity self-adaptive adjustment is specifically that if the spatial temperature gradient G T exceeds a safety temperature gradient threshold, the first microcontroller immediately controls the peristaltic pump to stop dripping the medicament, increases the driving power of the ultrasonic atomization sheet to cool and dissipate heat, avoids local thermal runaway caused by strong exothermic reaction in the water treatment process, diagnoses the mixing uniformity of wastewater and the medicament according to the chromaticity change rate dC/dt, adjusts the rotating speed of the magnetic stirrer in real time, and ensures the rapid and uniform mixing of the medicament and the wastewater.
10. The intelligent multi-mode fusion closed-loop control method for water treatment according to claim 6, wherein in the step S4, the fusion strategy is specifically that when the detection value of the pH sensor falls into the target pH range of the water treatment input in the step S1, and the target pollutant concentration C obtained by calculation of the visible spectrum sensor through the Lambert-beer model reaches the preset wastewater discharge standard, the first microcontroller confirms that the water treatment reaction is finished.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR102188847B1 (en) * | 2020-01-09 | 2020-12-09 | 농업회사법인 주식회사 과농 | Auto-titrator for determining end points spectroscopically and end point determination system using them |
| CN119644805A (en) * | 2024-12-10 | 2025-03-18 | 上海卓光仪器科技有限公司 | Intelligent control method and system for high-precision titration |
| CN120214203A (en) * | 2025-03-26 | 2025-06-27 | 华能辛店发电有限公司 | Comprehensive circulating water analyzer based on titration analysis |
| CN120275657A (en) * | 2025-06-09 | 2025-07-08 | 安徽中科维德数字科技有限公司 | High-precision full-automatic titration system and method based on fusion of spectrum sensor and PLC |
| CN120781729A (en) * | 2025-06-24 | 2025-10-14 | 中荷格澜(苏州)环境有限公司 | Control method and system for intelligent water service digital platform |
-
2026
- 2026-01-26 CN CN202610100673.7A patent/CN121554078B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR102188847B1 (en) * | 2020-01-09 | 2020-12-09 | 농업회사법인 주식회사 과농 | Auto-titrator for determining end points spectroscopically and end point determination system using them |
| CN119644805A (en) * | 2024-12-10 | 2025-03-18 | 上海卓光仪器科技有限公司 | Intelligent control method and system for high-precision titration |
| CN120214203A (en) * | 2025-03-26 | 2025-06-27 | 华能辛店发电有限公司 | Comprehensive circulating water analyzer based on titration analysis |
| CN120275657A (en) * | 2025-06-09 | 2025-07-08 | 安徽中科维德数字科技有限公司 | High-precision full-automatic titration system and method based on fusion of spectrum sensor and PLC |
| CN120781729A (en) * | 2025-06-24 | 2025-10-14 | 中荷格澜(苏州)环境有限公司 | Control method and system for intelligent water service digital platform |
Non-Patent Citations (1)
| Title |
|---|
| 张英华;李明海;赵传峰;李丽;杨小弟;: "基于颜色传感器的水质硬度在线自动测试仪的研制", 分析仪器, no. 05, 28 September 2010 (2010-09-28), pages 18 - 21 * |
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