550results about "Chemical variable control" patented technology

The invention relates to an intelligent tunnel construction sewage treatment control system capable of realizing accurate dosing, and belongs to the technical field of automatic control. Comprising an information management computer, a data processing center, data acquisition equipment, data output equipment, an industrial communication network and execution equipment, the information management computer is connected with the data processing center, and the data processing center is respectively connected with the data acquisition equipment, the data output equipment and the execution equipment; a signal output end of the data acquisition equipment is connected with a data signal receiving end of the data processing center through an industrial communication network; and the data output equipment is connected with the output end of the data processing center through the industrial communication network. According to the intelligent tunnel construction sewage treatment control system capable of realizing accurate chemical adding, the problems of high impact load resistance, small chemical adding amount, high treatment efficiency and no need of excessive manpower participation are solved, and chemical waste is reduced.

The invention relates to a sewage treatment management and control method, system and terminal based on big data intelligent analysis, and belongs to the technical field of sewage treatment.The sewage treatment management and control method comprises the steps that the flow difference value of an inlet and an outlet of a sewage treatment pipe network is obtained in real time; judging whether the flow difference value exceeds a set threshold value or not, wherein the duration of the flow difference value exceeding the set threshold value is greater than a duration threshold value; if yes, triggering preliminary leakage early warning; calculating Pearson's correlation coefficients of flow sudden increase and pressure sudden drop of adjacent pipe network nodes; judging whether the Pearson correlation coefficient is smaller than a set value or not; if yes, marking the corresponding pipe network node as a highly suspicious area; and according to the pressure wave, positioning a leakage point from the highly suspicious area. The method has the beneficial effects that the pipe network leakage point is quickly and accurately positioned, so that the sewage treatment management and control efficiency and the response speed are improved.

The invention provides a method for cleaning organic glue residues on the surface of a carrier plate, which comprises the following steps of: acquiring surface cleanliness data in a cleaning process in real time by adopting a carrier plate surface cleanliness online monitoring device, analyzing a cleanliness change trend in real time through an algorithm, and dynamically adjusting soaking, oscillating and flushing treatment parameters and a circulation path, so as to realize cleaning of the organic glue residues on the surface of the carrier plate. Adaptively optimizing a cleaning scheme, and predicting a cleaning end point; deploying a colloidal particle agglomeration degree analyzer in the water tank, monitoring the agglomeration state data of colloidal particles in real time, analyzing the relevance between the agglomeration state and water quality parameters through an algorithm model, dynamically adjusting the pH value and ionic strength of ultrapure water, optimizing the water quality environment, and inhibiting redeposition of the colloidal particles.

The invention relates to a multi-objective collaborative optimization hydroponic lettuce nutrient solution concentration time sequence dynamic regulation and control method. Compared with the prior art, the defect that an optimal nutrient solution concentration scheme needed by hydroponic crop time sequence dynamic growth interacting with the environment is difficult to determine is overcome. The method comprises the following steps: constructing a time sequence group photosynthetic rate prediction model and a time sequence group moisture utilization efficiency prediction model; constructing a multi-objective optimization model; solving a Pareto solution set of the multi-objective optimization model; constructing a nutrient solution concentration time sequence regulation and control model; dynamically regulating the concentration of the hydroponic lettuce nutrient solution in a time sequence. According to the method, a non-dominated sorting multi-target genetic algorithm is adopted to solve the multi-target problem of a time sequence group photosynthetic rate prediction model and a time sequence group water utilization efficiency prediction model, and an optimal balance regulation target value is obtained by combining a uniformly distributed population strategy, non-dominated sorting, crowding degree calculation, an elitist strategy and a population updating mechanism. The problem of dynamic regulation and control of the nutrient solution concentration for plant time sequence growth is effectively solved.

The invention is suitable for the technical field of quartz sand purification, and particularly relates to a quartz sand purification acid liquor concentration automatic compensation control method which comprises the following steps: acquiring an acid liquor concentration parameter sequence; wherein the acid liquor concentration parameter sequence is used for indicating the change of the acid liquor concentration from the beginning of purification to the preset purification time, and the acid liquor concentration reflected by the acid liquor concentration parameter sequence is located in an effective concentration interval; performing segmentation processing based on the acid liquor concentration parameter sequence to obtain sub-parameter segments; determining a compensation opportunity based on the sub-parameter segments; wherein the compensation opportunity is used for indicating the opportunity of adding the acid liquor next time; extracting consumption characteristics of each sub-parameter section; obtaining an initial compensation amount based on the plurality of consumption features; an actual compensation amount is determined based on the initial compensation amount and the compensation opportunity. According to the method, the compensation opportunity and the compensation amount can be sectionally determined based on the acid liquor concentration change rule, so that the purification effect of the quartz sand is improved.

The invention relates to an intelligent regulation and control method and system for fermentation parameters, a terminal and a medium, and belongs to the technical field of enzyme preparation fermentation. The intelligent regulation and control method for the fermentation parameters comprises the following steps: determining a current fermentation stage of a fermentation process; determining a dissolved oxygen target value and a pH target value according to the fermentation stage; acquiring monitoring data, wherein the monitoring data comprises a dissolved oxygen actual value, a dissolved oxygen change rate, a pH actual value, a pH change rate, a thallus concentration and a fermentation volume; if the change rate of the dissolved oxygen is a negative value, predicting a pH predicted value in future n minutes according to the actual value of the dissolved oxygen and the thallus concentration; judging whether an error value between the pH predicted value and the pH target value is not greater than an error threshold value or not; if yes, parameter intervention is carried out, and parameters comprise the ventilation capacity, the stirring speed and the alkali supplementing amount. The method has the beneficial effects that the fermentation parameters can be precisely regulated and controlled, so that the quality of a fermentation product is precisely improved.

The invention discloses a micro-nano air flotation coupling critical micro-flocculation phosphorus removal control method, which relates to the technical field of water treatment, and comprises the following steps: when the total phosphorus concentration is lower than a preset concentration threshold value, determining the proportion of non-target particles based on the water turbidity and particle spectrum distribution; adding a flocculating agent according to a preset critical dosage to generate target phosphorus floc, and synchronously forming a primary flocculation phase which can be distinguished from non-target particles; applying an interfacial activity regulation factor to the micro-nano bubbles based on the primary flocculation phase, and performing selective regulation; forming a bubble-phosphorus floc complex based on a selective regulation effect; the bubble-phosphorus floc complex is separated and removed in an air flotation mode, the competition intensity history of non-target particles is recorded, and a competition memory curve is formed. According to the method, interfacial activity regulation factors are applied to the surfaces of the micro-nano bubbles, so that the micro-nano bubbles can preferentially and selectively adsorb target phosphorus floc, and efficient removal of low-concentration total phosphorus is realized.

The present invention is applicable to the technical field of medical equipment, and provides a method, system, storage medium and ventilator for controlling oxygen concentration of a ventilator. The method comprises calculating target oxygen flow and target air flow according to target oxygen concentration and target total flow; inputting target oxygen flow, actual oxygen flow, oxygen flow error and constant value into a first BP neural network model to obtain a first set of PID control parameters; inputting target air flow, actual air flow, air flow error and constant value into a second BP neural network model to obtain a second set of PID control parameters; generating a first control signal according to the oxygen flow error and the first set of PID control parameters, and generating a second control signal according to the air flow error and the second set of PID control parameters; and adjusting the opening of the oxygen end proportional valve and the air end proportional valve according to the first control signal and the second control signal. The present invention solves the problems of slow response speed, insufficient stability and difficult parameter adjustment caused by existing fixed PID parameter control.

The invention belongs to the technical field of sintering batching control, and particularly relates to a sinter alkalinity control method and system. The method comprises the following steps: acquiring a first-stage ratio adjustment amount according to update states of an XRF data source and an LIBS data source; based on the time difference between XRF data source updating and LIBS data source updating, a second-stage ratio adjustment amount is obtained according to the first-stage ratio adjustment amount; performing amplitude limiting protection on the second-stage ratio adjustment amount to obtain a third-stage ratio adjustment amount; and the sinter raw material ratio is adjusted according to the third-stage ratio adjustment amount, and the sinter alkalinity is controlled. According to the invention, modeling is carried out on the data dynamic trend of the LIBS data source, and the evolution rule of the batching process is captured, so that more scientific closed-loop control is realized; the traditional thought of directly utilizing LIBS data to predict the sintering state or purely depending on mixture component data and target value deviation is abandoned, the problems of single data point noise interference and model alignment are effectively avoided, and the control robustness is improved.

The invention discloses an intelligent regulation and control system and method for adding phosphate into boiler water, the system comprises a data acquisition / conversion unit and an intelligent regulation and control early warning unit connected with the data acquisition / conversion unit, and the intelligent regulation and control early warning unit comprises a storage calculation module, an intelligent control module, a report statistics module and an alarm diagnosis module; the storage calculation module is used for calculating a boiler water pH theoretical calculation value according to a boiler water pH theoretical calculation model, calculating a boiler water PO4 < 3-> concentration prediction value according to a boiler water PO4 < 3-> regression prediction model, comparing the boiler water pH theoretical calculation value and the boiler water PO4 < 3-> concentration prediction value with a control target value, sending a feedback instruction to a frequency converter of a dosing pump, and remotely regulating and controlling the frequency of the dosing pump to change the dosage. The precision and intelligent level of boiler water phosphate dosing control is improved, the measurement influence, human intervention and agent waste are reduced, and it is guaranteed that the water quality of subcritical unit boiler water is stable and qualified for a long time under the working condition of deep peak regulation.

The invention provides a ventilation system optimization method and system based on the air quality of an industrial aquaculture workshop, and relates to the technical field of environment regulation and ventilation system.The method includes the steps that aquaculture workshop gas is analyzed through an infrared spectrometer, the spectral intensity of the characteristic absorption wavelength of a target pollutant is obtained, and then the accurate concentration of the pollutant is analyzed according to the spectral intensity; and calculating a ventilation parameter reference value and controlling a fan to adjust the air supply amount. An air treatment device in the ventilation system can determine the optimal working time according to the air supply amount so as to decompose pollutants and continuously monitor the concentration of the pollutants at the inlet and the outlet of the device. Subsequently, the air quality deterioration index is predicted by analyzing the concentration change trend, and the current overall purification efficiency is calculated. When the purification efficiency deviates from the range or the deterioration index exceeds the threshold value, the running state of the device is dynamically adjusted and fed back to the system, self-adaptive optimization of the ventilation system of the industrial aquaculture workshop can be achieved, and it is guaranteed that the workshop air quality is stable and the purification efficiency reaches the standard.

The invention relates to the technical field of pH value adjustment, and discloses a pH value adjustment method and system, a storage medium and equipment. The method comprises the following steps: denoising time sequence data of a pH sensor to obtain a smooth pH value sequence, and calculating a first-order difference of the smooth pH value sequence to obtain a pH value rate change sequence and rate characteristics; when any value in the sequence exceeds a preset threshold value, extracting feature distribution data, and inputting the feature distribution data and real-time state data of the solution into a solution state evaluation model to obtain an estimated value of the buffer capacity and reaction rate change of the solution; based on the estimated value, the pH value rate change sequence and the rate characteristics, calculating a preliminary control sequence of the acid-base addition amount, adopting a self-adaptive PID control algorithm to adjust parameters, generating an optimal control sequence, controlling the acid-base addition equipment to adjust the addition amount, obtaining new pH value data, and performing fast Fourier transform to obtain a stable pH value sequence. The stability of pH value control of the solution is improved.

The invention relates to a dyeing process PH value self-optimization system based on multi-agent intelligent control. The dyeing process PH value self-optimization system comprises a sensing unit, a control decision unit and an execution unit. The sensing unit collects key data in the cloth dyeing process, and the key data comprise the pH value, temperature, dye concentration and flow velocity of dye liquor. The control decision-making unit adopts a multi-agent architecture and comprises a data fusion agent, a modeling agent, an optimization decision-making agent and a cooperative control agent; and the execution unit is used for regulating and controlling the pH value in the dye liquor in real time according to the final decision scheme of the control decision unit and based on PID (Proportion Integration Differentiation) control. The intelligent level of dyeing process production is enhanced while the control precision of the pH value of the dye liquor is ensured.

The invention provides an effluent concentration regulation and control method and device of a sewage treatment plant, electronic equipment and a medium, the method is used for regulating and controlling a sewage treatment system, and the method comprises the following steps: acquiring water quality parameters of inflow water of the sewage treatment plant and actual working conditions of hydraulic operation conditions; determining the effluent concentration based on the water quality parameters and a pre-constructed bidirectional long-short term memory neural network; establishing a fuzzy rule base based on the actual working condition, the effluent concentration, a preset target working condition and a preset target effluent concentration; setting a fuzzy self-tuning PID control model based on the fuzzy rule base; based on the actual working condition, the effluent concentration, the target working condition and the target effluent concentration, a control variable is determined through a fuzzy self-tuning PID control model; the sewage treatment system is regulated and controlled through the control variables to reach the target working condition and the target effluent concentration. In the mode, the effluent concentration is automatically regulated and controlled, the regulation and control accuracy is improved, and the labor cost is reduced.

The invention discloses a seawater exchange type breakwater management method based on intelligent control, and particularly relates to the technical field of breakwater management. By constructing a multi-parameter correlation model, environmental data such as dissolved oxygen, turbidity and water temperature are collected in real time, the coupling relation is identified, and a risk factor value is calculated, so that a water change control decision is dynamically corrected; by controlling execution units such as a water gate, a water pump or a valve, water changing operation is accurately implemented, feedback data is collected after operation, the control effect is evaluated, then self-adaptive optimization of a next round of strategy is achieved, and the judgment accuracy, control flexibility and ecological safety of the system in a complex environment are effectively improved.

The invention provides an intelligent lime adding control method and system and a medium. The method comprises the following steps: acquiring real-time water flow data, calculating to obtain effective water flow parameter data, processing by combining the obtained historical average water flow parameter data and historical lime average dosage data to obtain predicted lime dosage data, acquiring lime performance parameter data and lime average reaction duration data, and processing to obtain lime effective utilization rate data; lime adding quantity demanded data are obtained by processing lime effective utilization rate data and lime predicted dosage data, then screw conveyor grade data are obtained through threshold value comparison, and finally the purified water state is obtained through threshold value comparison after purified water standard parameter data and purified water real-time parameter data are processed. Further adjusting the lime adding demand quantity data; therefore, intelligent adding of the lime is realized through calculation of the predicted lime dosage data, the lime effective utilization rate data and the lime adding demand quantity data and determination of the state of the purified water.

The embodiment of the invention discloses a leachate concentrated water softening control method based on double closed-loop predictive control, and relates to the technical field of automatic control of environmental engineering. The method comprises the following steps: acquiring multi-dimensional data acquired in real time; a dynamic mass balance equation of a magnesium removal / calcium removal reaction is constructed, the dosage of NaOH / Na2CO3 is optimized in a rolling mode on the basis of a model prediction control algorithm, and accurate control over the pH value and the hardness removal rate is achieved; a membrane pollution state space equation is constructed, a membrane type switching and cleaning strategy is optimized in combination with a dynamic programming algorithm, and Pareto optimal control of flux maintenance and cost minimization is achieved. The industrial problems of low control precision, high operation cost and poor system robustness in high-hardness wastewater softening treatment are solved, and the method has remarkable technical advancement and engineering application value.

The invention discloses a greenhouse CO2 concentration partition regulation and control method based on fuzzy logic reasoning. The method comprises the following steps: S1, acquiring an environment parameter data set corresponding to each partition in real time through a sensor network deployed in a greenhouse; s2, performing data preprocessing on the acquired environment parameter data set of each partition; s3, determining priority weights of the partitions; s4, based on a greenhouse partition priority model and the preprocessed environment parameter data set of each partition; s5, calculating the target CO2 concentration range and the regulation and control amount of each subarea; s6, converting the target CO2 concentration range and the regulation and control quantity of each subarea into executable control signals, and executing CO2 concentration subarea regulation and control; and S7, monitoring the environmental parameter data of each partition in real time through the sensor network until the target range is stable. The adaptability to the crop growth environment is improved.

The invention discloses a regulation and control system and method of a pH meter in a waste lithium battery recovery process, and relates to the technical field of waste battery recovery treatment. The system comprises a central control module, a liquid caustic soda adjusting device and a liquid acid adjusting device, wherein a pH meter measures the pH value of a leaching solution of a leaching-stage reaction kettle in a waste lithium battery recycling process in real time; the central control module compares the pH value, measured in real time, of the leaching liquid in the leaching-stage reaction kettle with the pH value preset range of the leaching stage, acid liquid or alkali liquid is added into the leaching-stage reaction kettle according to the comparison result, and the pH value of the leaching liquid is adjusted to be within the pH value preset range of the leaching stage; the central control module can also identify interference factors measured by the pH meter and compensate the slope according to the current temperature so as to compensate the pH value, measured by the pH meter, of the leachate. According to the method, accurate control over the pH value in the leaching process can be effectively achieved, the recovery efficiency and quality of the waste lithium batteries are improved, and the production cost is reduced.

The invention discloses a method and system for accurately controlling the concentration of dissolved oxygen (DO) of a sewage treatment aeration unit, and the method comprises the steps: constructing a prediction model, and obtaining a model prediction value of the DO concentration at a current moment or a future moment according to the prediction model; calculating a current confidence coefficient; taking the current confidence coefficient as a weight coefficient, and carrying out weighted fusion calculation on a DO concentration measured value at the current moment and a DO concentration model prediction value to obtain a DO concentration fusion variable; the aeration air volume is adjusted or controlled with the purpose of minimizing the error between the DO concentration fusion variable and the DO concentration target value; the problem of overshoot oscillation caused by DO response lag in traditional control is solved, and a dynamic and accurate control solution is provided for the DO concentration of the aeration unit of the sewage plant.

The invention relates to the technical field of water quality regulation and control, in particular to a mung bean sprout cultivation water quality dynamic regulation and control method and system.The mung bean sprout cultivation water quality dynamic regulation and control method comprises the following steps of collecting a rhizosphere and main water body conductivity time sequence, analyzing an extreme point lag difference, recognizing an absorption active stage, dynamically adjusting a pH set value and evaluating regulation and control response stability; a liquid injection trigger threshold value is optimized according to the conductivity slope ratio, and a water quality regulation and control result is output. According to the method, conduction delay between conductance signals can be recognized in real time by collecting rhizosphere liquid phase and main water body conductivity time sequence data and constructing change slope and lag difference data, and therefore the active absorption stage of the rhizosphere of the mung bean sprouts is extracted. A stable trend label can be constructed according to the judgment of the continuity and the change direction of the absorption stage, so that the regulation and control basis has more physiological correlation. In the aspect of pH control, a hydrogen ion concentration regulation target and exponential response logic are introduced to realize dynamic convergence of an acid-base balance control target, so that a regulation result is closer to an absorption state.

The invention relates to the technical field of sewage treatment, in particular to an internal and external backflow automatic control system for sewage treatment. The system comprises an internal reflux system and an external reflux system, and the internal reflux system adjusts the frequency of internal reflux pumps or the number of started internal reflux pumps by monitoring the change of water quality parameters such as nitrate nitrogen, nitrite nitrogen, ammonia nitrogen and dissolved oxygen so as to maintain the balance of nitrification and denitrification reactions; and the external reflux system adjusts the flow of an external reflux pump by monitoring the sludge concentration and the sludge level height so as to maintain the concentration and activity of microorganisms in the biological reaction tank. Besides, the system also adopts a mathematical model, a feedforward control strategy and a feedback control module, so that the response speed and the stability of the system are improved, the effective treatment of sewage is ensured, and the overall treatment efficiency and the effluent quality are improved.

The invention discloses an intelligent greenhouse environment control method and system, particularly relates to the technical field of greenhouse control, and is used for solving the problem that the layering phenomenon is difficult to identify in the existing greenhouse carbon dioxide concentration monitoring. Modeling and identifying carbon dioxide concentration and gas flow distribution data in the greenhouse based on a clustering analysis algorithm to judge whether a carbon dioxide layering phenomenon exists or not; when a layering phenomenon exists, airflow velocity field characteristics are extracted through an optical flow method, a velocity field image is analyzed in combination with a convolutional neural network, and airflow vortex morphological characteristics of a local area of the greenhouse are identified; calculating the information entropy of the concentration change in combination with Shannon entropy, analyzing the diffusion path in combination with a dynamic programming algorithm, and evaluating the complexity of the diffusion path of the layered region; further identifying an eddy current risk area; the chlorophyll distribution characteristics of crops are analyzed through a spectral analysis algorithm, the growth abnormality is evaluated by combining carbon dioxide concentration data, and the abnormality is used as an auxiliary condition to precisely regulate and control ventilation and carbon dioxide supplementation.

The invention provides a dissolution medium pH value dynamic regulation and control method and system based on a dissolution instrument. According to the method, the real-time pH value and the dynamic change trend of the release rate of the active component are obtained, then the pH dynamic compensation instruction is generated according to the offset between the dynamic change trend of the release rate of the active component and the preset stage release target curve, and then the release rate of the active component is calculated based on the pH dynamic compensation instruction and the real-time pH value. The injection parameter combination of the buffer solution is calculated, and then the buffer solution corresponding to the concentration of the buffer solution is injected into the corresponding dissolution cup according to the accurate injection amount in the dynamic time window through a multi-channel accurate fluid controller, so that the pH value of the liquid environment is dynamically matched with the transfer stage of the medicine in the gastrointestinal tract of the human body; according to the technical scheme provided by the invention, the problem of measurement drift caused by the fact that a sensor is easily interfered by drug residues or organic solvents in the prior art is effectively solved, and electrolysis errors of a single electrode in a complex medium are also avoided.

The invention relates to an intelligent fishpond water quality control system based on LoRa and 5G Internet of Things technologies, and the system comprises a water quality monitoring module which is used for collecting initial water quality parameters; the execution control module is used for adjusting the water body environment of the target fishpond; the data processing module receives the initial water quality parameters collected by the water quality monitoring module and preprocesses the initial water quality parameters to obtain standard water quality parameters; the prediction output module is used for predicting the change trend of the dissolved oxygen content; the cloud control and management module is used for data storage, remote monitoring and equipment regulation and control; the signal generation module is used for outputting a corresponding control signal to the execution control module; through cooperative operation of the water quality monitoring module, the execution control module, the data processing module, the prediction output module, the cloud control module and the signal generation module, efficient data transmission is realized by adopting a LoRa and 5G dual-mode communication architecture, and by combining edge calculation and a deep learning prediction algorithm, the effect of improving the real-time performance and reliability of breeding management is achieved.

The invention belongs to the technical field of sandy ground grouting regulation and control, and relates to a dolomite sandy ground tunnel high-pressure curtain grouting regulation and control method and system. According to the method, the fuzziness and the uncertainty of single sensing information when complex geological conditions are judged and recognized are overcome by generating the sanding rate grade map and the splitting early warning signal, and the accuracy of stratum state sensing is improved; a dynamic linkage mechanism among stratum states, risk early warning, slurry parameters and grouting parameters is established, the slurry proportion and the grouting pressure are automatically and differentially regulated and controlled according to the sanding grade, and optimal matching of the slurry property and stratum requirements and dynamic balance of safety and efficiency are achieved; the formation condition of the curtain is mastered in real time through grouting effect real-time imaging and closed-loop feedback regulation and control, the construction scheme is continuously optimized according to objective data, the uniformity, continuity and overall quality of high-pressure curtain grouting of the sandy stratum tunnel are ensured, and meanwhile material waste and construction period delay are avoided.

The invention relates to the technical field of automatic control, and discloses a decontamination control method and system for laboratory automatic feeding equipment and a storage medium, the method is based on a decontamination cleaning device arranged on a tail frame of laboratory equipment, and the method comprises the following steps: firstly obtaining an image above a tail frame of a conveying belt to obtain a dirt image, and identifying a first dirt feature according to a specific dirt threshold value; and calculating the corresponding first dryness and humidity and the first distribution uniformity. The immersion depth of the cleaning rolling brush in the disinfectant is adjusted according to the first dryness and humidity in an anti-correlation mode, if the dryness and humidity are high, immersion is shallow, and if the dryness and humidity are low, immersion is deep; the thickness of the cleaning rolling brush is adjusted in an inverse correlation mode according to the first distribution uniformity, if the uniformity is high, the rolling brush is thin, and if the uniformity is low, the rolling brush is thick. Then acquiring a side image of the tail bracket of the conveying belt, identifying a second dirt feature, calculating the dirt height, and adjusting the pressure of the scraper pressing the conveying belt and the rotating speed of the cleaning rolling brush according to positive correlation, wherein if the dirt height is high, the pressure is high, the rotating speed is high, and if the dirt height is low, the pressure is low, and the rotating speed is low. By means of the scheme, automatic and efficient decontamination can be achieved.

The invention discloses a dissolved oxygen closed-loop regulation and control method used in a sewage treatment process. The method comprises the following steps: acquiring real-time dissolved oxygen concentration in a reaction tank through a distributed sensor array, and performing temperature compensation; an online water quality analyzer is used for collecting water inlet flow, chemical oxygen demand, ammonia nitrogen and water temperature to construct a comprehensive input feature vector; establishing a nonlinear dynamic mapping model based on a deep neural network, and outputting a target dissolved oxygen set value changing along with working conditions; an aeration adjusting instruction is generated by adopting a feedforward-feedback composite adaptive fuzzy PID control algorithm; dynamically adjusting the air volume of an air blower and the opening density of a partition aeration disc to match the aerobic rate of microorganisms; and the control performance is evaluated regularly, and a model parameter online optimization mechanism is triggered to continuously improve the setting precision. According to the method disclosed by the invention, the dissolved oxygen can be accurately controlled, so that the aeration energy consumption is reduced by not less than 18%, the control precision is within + / -0.3 mg / L, and the robustness, the automation level and the low-carbon operation capability of the system are remarkably improved.

The invention discloses a device and method for adjusting the ammonia adding amount of a calculation type pH detection system. The device comprises a control system, a conductivity electrode, an electric automatic regeneration cation exchange device, a hydrogen conductivity electrode and an automatic ammonia adding system. The water sample input pipeline is communicated with an inlet of the electric automatic regeneration cation exchange device through the conductivity electrode, an outlet of the electric automatic regeneration cation exchange device is communicated with an inlet of the automatic ammonification system through the hydrogen conductivity electrode, and an outlet of the automatic ammonification system is communicated with the water sample output pipeline; the input end of the control system is connected with the conductivity electrode, the input end of the control system is connected with the hydrogen conductivity electrode, the output end of the control system is connected with the automatic ammonia adding system, and the device and the method can accurately control the ammonia adding amount.

The invention relates to the field of intelligent control, and particularly discloses a soil remediation process intelligent control system based on artificial intelligence, which constructs an alignment feature matrix capable of comprehensively representing a dynamic soil remediation process by performing deep preprocessing and feature engineering on multi-source heterogeneous sensor data and control logs. Then, a soft measurement model based on a sequence codec is adopted, and the processed state sequence is mapped into the pollutant concentration and the confidence coefficient of the pollutant concentration; and in a pollutant concentration soft measurement prediction process, a soil state information transfer layer is introduced, and an information flow weight is dynamically adjusted by quantifying and utilizing uncertainty of time sequence information, so that noise interference is effectively inhibited, a complex time sequence dependency relationship is captured, and prediction accuracy and robustness are ensured. And finally, the system does not blindly receive the prediction result, but converts the prediction result into an uncertainty map by using confidence coefficient information in the prediction result, and generates an optimal active sampling plan according to the uncertainty map.