440results 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 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 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 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 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 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 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 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 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.

The invention provides a hydrogen-rich water concentration dynamic adjustment method, and relates to the field of concentration adaptive adjustment, and the method comprises the following steps: S1, data acquisition; step S2, data preprocessing; s3, key influence factors are extracted; s4, acquiring the initial concentration of the hydrogen-rich water; and S5, obtaining the optimized concentration of the hydrogen-rich water: obtaining a dynamic concentration adjustment amount, an extreme environment adjustment amount and an implicit stress adjustment amount through reinforcement learning dynamic optimization, extreme environment adaptation and implicit stress early warning, and obtaining the final concentration of the hydrogen-rich water. According to the method, self-adaptive adjustment of the concentration of the hydrogen-rich water can be performed according to the growth state of the plant and environmental factors, the accuracy of the concentration of the applied hydrogen-rich water is ensured, and the problem that normal growth of the plant is affected due to too high or too low concentration of the hydrogen-rich water is avoided.

The invention relates to a concrete compactness control method and system, an intelligent terminal and a storage medium, and relates to the technical field of engineering construction.The method comprises the steps that a concrete area is divided into a plurality of grid areas, and the concrete area is in an unsolidified state; the vibrating equipment is controlled to move in the concrete area, so that the vibrating equipment sequentially traverses all the grid areas; acquiring detection data of the vibrating equipment in the moving process, wherein the detection data comprises vibrating resistance and vibrating energy consumption; under the condition that the difference value between the detection data and standard detection data is larger than a first difference value threshold value, the position data of the position where the vibrating equipment is located are recorded, and the standard detection data are obtained on the basis that the compactness of the solidified concrete reaches the preset compactness; determining a remedial area in the concrete area according to the position data; and obtaining remedy operation according to the detection data and the remedy area. The method has the effect of controlling the compactness of the concrete in the concrete manufacturing process.

The invention belongs to the technical field of control, and relates to an ozone concentration regulation control system and method. An ozone concentration regulation control method comprises the following steps: measuring the actual concentration of ozone gas, and calculating an error value and an error change rate between a target ozone concentration and the actual ozone concentration; dynamically adjusting the dead zone threshold value; predicting an error at the next moment; substituting the predicted error into a control algorithm to calculate control output; and the control signal is output to the ozone generator to generate ozone with corresponding flow. The size of a dead zone is dynamically adjusted through the error change rate, and adjustment jitter is restrained; control output is corrected in advance in combination with concentration prediction errors, and response lag is reduced; and the concentration stability, the quick responsiveness and the anti-interference capability of the ozone backwashing system can be remarkably improved, so that the removal efficiency of organic matters in a pipeline is improved, the energy consumption is reduced, and the system stability is improved.

The invention relates to an on-line monitoring system for high-concentration chloride ions in solid-containing slurry, and belongs to the technical field of chloride ion monitoring. The system comprises a data acquisition unit used for acquiring prediction data such as the volume of gypsum slurry and the pH value of the gypsum slurry; the data processing unit is used for preprocessing according to prediction data such as the volume and the pH value of the gypsum slurry to obtain preprocessed data; the data prediction unit is used for obtaining a chloride ion concentration prediction value through MLP model calculation according to the preprocessed data; the monitoring control unit is used for calculating a diagnosis result through a diagnosis model according to the chloride ion concentration predicted value, and the intelligent terminal controls a slurry input pipeline valve switch according to the diagnosis result; the intelligent terminal controls a desulfurization slurry output valve to be opened and closed according to the desulfurization slurry output threshold value, a chloride ion concentration measurement value is obtained through calculation of the measurement module, and gypsum solution compensation is conducted according to the chloride ion concentration measurement value. And online monitoring of high-concentration chloride ions in the desulfurization tower and dynamic compensation of the gypsum solution are realized.

The invention discloses a closed-loop control system and method based on deep-sea ore raising pipe ore pulp concentration monitoring, and the system comprises a water surface support platform control center which is used for outputting a control strategy; the hydraulic ore injector is used for receiving the control strategy and carrying out self-adaptive adjustment according to the control strategy; wherein the water surface support platform control center comprises an intelligent control unit and a controller, and the intelligent control unit is used for collecting operation parameter data of the hydraulic ore injector, processing the operation parameter data and predicting in real time to obtain a solid phase volume concentration predicted value; the controller is used for receiving the solid phase volume concentration predicted value and determining a control strategy according to the solid phase volume concentration predicted value; the intelligent control unit comprises a data acquisition module, a data processing module and a prediction module; the concentration of ore pulp in the pipeline can be more accurately controlled through the system, and the system can better adapt to complex working conditions such as submarine topography and ore supply quantity fluctuation.

The utility model discloses an automatic PH value adjusting device for a spraying dosing box, and relates to the technical field of dosing boxes, the automatic PH value adjusting device comprises a spraying dosing box body, the top of the spraying dosing box body is fixedly provided with a mounting rack, and one side of the top of the mounting rack is fixedly provided with an acid liquor barrel; an acid liquor barrel is fixedly installed on the top of the mounting frame, an alkali liquor barrel is fixedly installed on the top of the mounting frame and located on one side of the acid liquor barrel, two weighing sensors are fixedly installed at the bottom of the mounting frame, and weighing barrels are fixedly installed at the weighing ends of the two weighing sensors. Meanwhile, after a servo motor is started, a first driving gear can be driven to rotate, the first driving gear is meshed with a first driven gear to drive a rotating rod and a stirring rod to rotate and stir liquid medicine in the spraying and dosing box body, so that added acid liquor or alkali liquor is fully mixed with the first driving gear, adding adjustment can be completed, the overall automation degree is high, and the practicability is high. And the efficiency is high.

The invention relates to a sewage treatment method and system, an intelligent terminal and a storage medium, and relates to the technical field of sewage treatment.The method comprises the steps that a water inlet trigger signal of a preset reaction tank is obtained; acquiring water inlet detection parameters of the reaction tank based on the water inlet trigger signal; according to the water inlet detection parameters and the ideal water outlet detection parameters, the set dissolved oxygen concentration of the reaction tank is determined based on similar historical data of a time difference time sequence model; controlling a preset aeration device to aerate the reaction tank according to the set dissolved oxygen concentration; obtaining effluent detection parameters of the reaction tank; judging whether the water outlet detection parameters meet the requirements of preset treatment detection parameters or not, and judging whether the set dissolved oxygen concentration is regenerated or not according to the judgment result; and continuously controlling the aeration device to aerate the reaction tank according to the regenerated set dissolved oxygen concentration. The sewage treatment device has the effects of improving the sewage treatment efficiency and the effluent quality and reducing the sewage treatment cost.

The invention discloses a denitration system capable of automatically adjusting an ammonia spraying strategy, which comprises a data sensing layer and an execution layer, the data sensing layer comprises a plurality of measuring devices arranged at an inlet and an outlet of an SCR (Selective Catalytic Reduction) reactor, the execution layer comprises a plurality of ammonia spraying grids arranged along the section of a flue in a partitioned manner, and each partition corresponds to an independent ammonia spraying branch pipe; an adjustable flow control valve is arranged on each ammonia spraying branch pipe; the control layer is in communication connection with the data sensing layer and the execution layer, and the control layer comprises an advanced controller and is configured to receive real-time data of the data sensing layer and optimize the real-time data on the basis of a preset denitration model and an optimization algorithm; calculating the distribution uniformity index of the NOx concentration at the outlet of the SCR reactor and the target ammonia gas flow required by each partition of the plurality of ammonia spraying grids; and the distributed PID controller is connected with the advanced controller and is configured to receive the target ammonia gas flow of each partition and generate a control signal to drive the corresponding flow control valve, and the total ammonia consumption can be remarkably reduced under the same denitration efficiency.

The invention provides a copper powder purification and iron removal control method based on multi-parameter monitoring, and belongs to the technical field of copper powder processing. The method comprises the following steps that basic information of copper powder to be treated is obtained, and the theoretical dosage Qall of acid liquor is calculated; stirring and mixing the copper powder and pure water; setting a preset batch number n of adding the acid liquor in batches, generating an addition amount Q1 of adding the acid liquor in the first batch and an addition amount Q2 of adding the acid liquor in the second batch, and setting the interval time as t1; monitoring parameters of the mixed system are obtained, and the adding process of the acid liquor in the next batch is dynamically adjusted; and repeating until the concentration of the iron ions in the mixed system tends to be constant, thereby completing iron purification and impurity removal. Accurate iron removal through an acid leaching method can be achieved, the corrosion loss of the copper powder is reduced, and the purity and yield of the copper powder are improved; meanwhile, the addition amount of the acid liquor is accurately controlled, and the subsequent wastewater treatment cost is reduced.

The invention provides a solid powder salt pH value control method and device for a settlement test, and relates to the technical field of material preparation. The method comprises the following steps: preparing a mixed salt solution with a preset concentration; performing rotary evaporation on the mixed salt solution; freezing the mixed salt solution to a preset temperature to form granular mixed salt; drying the frozen mixed salt for a preset time length; grinding the dried mixed salt; screening the ground mixed salt to form mixed salt powder; and air with a preset flow rate is adopted, negative pressure is formed in the flowing process, and the mixed salt powder is driven to flow and settle to a preset position. Through the processes of rotary evaporation, condensation, freezing, drying, grinding and screening, the salt is finer and fluffy, uniform granularity is guaranteed, subsequent sedimentation is facilitated, and the pH value of the salt after sedimentation is effectively controlled. And the mixed salt powder is driven to settle through negative pressure, so that the effect of uniformly settling the solid powder salt is realized.

The invention discloses an automatic mixing control device for natural rubber latex and acid liquor. The device is provided with a latex pool (1) and an acid liquor pool (2), a latex pipeline (3) is connected below the latex pool (1), an electromagnetic valve (4) is arranged on the latex pipeline (3), and an electromagnetic flowmeter (6) is arranged at the rear part of the electromagnetic valve (4). An acid liquor pipeline (10) is connected below the acid liquor pool (2), an electric control valve (11) is arranged on the acid liquor pipeline (10), and a turbine flowmeter (13) is arranged at the rear end of the electric control valve (11). The tail ends of the latex pipeline (3) and the acid liquor pipeline (10) are provided with a glue-acid mixing pool (16), a glue-acid mixing pipeline (17) is arranged behind the glue-acid mixing pool pipeline (16), and the tail end of the glue-acid mixing pipeline (17) is provided with a PH value measuring probe (19) and a PH value measuring instrument (18). The device has the beneficial effects that the automation of the latex solidification acid preparation process is realized, the labor cost is reduced, the production efficiency is improved, and the stability of the product quality is ensured.