171 results about "Feedback regulation" patented technology

The invention discloses a new energy consumption multi-objective decision reasoning method and system based on a knowledge graph. The method comprises the following steps: completing data acquisition and preprocessing; extracting the relationship between the core entities and the entities to generate a structured triple, and further constructing an energy field knowledge graph; designing a loss function by taking economy and stability as optimization targets, training a GNN integrated with power grid topology perception in combination with historical scheduling data, and completing model construction; entity change and relation update in the new data are identified through an incremental learning method, and the energy field knowledge graph is automatically supplemented or corrected; according to a current scheduling demand, extracting a corresponding associated sub-graph from the updated knowledge graph, inputting the trained GNN model, and outputting a scheduling decision scheme; and accessing the scheduling decision scheme output by the GNN to a power grid digital twinborn simulation platform to complete analogue simulation and feedback regulation. And efficient and safe consumption of new energy in a dynamic environment is ensured.

The invention relates to the technical field of medical data processing and human-computer interaction, and particularly discloses a rehabilitation training feedback adjusting system based on a brain-computer interface and myoelectricity sensing. The system comprises a multi-modal physiological signal acquisition module, a signal fusion and intention decoding module, a rehabilitation state dynamic evaluation module, a self-adaptive feedback strategy generation module and a multi-channel feedback execution module. By synchronously collecting and fusing the electroencephalogram signals and the electromyographic signals to decode the motion intention, dynamically evaluate the rehabilitation state and predict the trend, a multi-sensory collaborative feedback strategy is adaptively generated, personalized and dynamic precise adjustment of rehabilitation training is achieved, and the training effect and the patient participation degree are improved. The system can autonomously switch between a reinforcement learning strategy and an auxiliary guiding strategy according to the real-time performance and the long-term trend of a patient, and dynamically optimize various feedback parameters.

The invention discloses a real-time feedback method and system for a hydrogen peroxide production process, and relates to the technical field of intelligent feedback. The real-time feedback method and system for the hydrogen peroxide production process comprises the following steps: S1, preprocessing production process data and historical process data; s2, self-adaptive time sequence prediction feedback regulation and control analysis is carried out, the rotating speed of a servo motor is adjusted, and a sampling flow error value is corrected; s3, performing regulation and control characteristic attribution analysis, and performing mixed solution transfer; s4, performing process equipment self-diagnosis for efficient emulsion separation and multi-parameter mahalanobis distance discrimination; and S5, carrying out process parameter optimization and risk early warning. The problems that an existing system is difficult to achieve automatic continuous sampling and flow self-adaptive regulation and control in the hydrogen peroxide production process, and high-precision real-time monitoring and intelligent early warning are difficult to achieve are solved.

The application discloses an application method of a Transformer architecture based on a biological regulation mechanism, S1, original data is divided into basic units token, and then each discrete token is mapped into a continuous high-dimensional vector through a word embedding layer; S2, a prototype activation unit identifies an initial semantic core from the input embedded token, and scores an activation value based on the embedded vector of the token; S3, a multi-scale prototype aggregation module performs multi-scale pattern aggregation on the prototype candidate, and forms a prototype vector across tokens; S4, a regulation path diverter determines a main / auxiliary path distribution strategy of each token according to the context semantic weight and the prototype responsiveness of the token; S5, the main path performs a standard QKV calculation process; S6, a biological regulation loop module performs feedback regulation on the auxiliary path token by using the aggregated prototype vector in the S3 step; S7, two token expression streams generated by the main path and the auxiliary path are integrated, so that the final output of the Transformer layer is generated.

The invention provides an iron-making production ore blending process method based on multi-target intelligent optimization and dynamic feedback regulation. The method comprises the steps that ore components, price and production data are collected, a quality and cost prediction model is built, a multi-target optimization model is built with molten iron quality, cost, blast furnace smooth operation and environmental protection as targets, and a Pareto optimal ore blending scheme is solved through an evolutionary algorithm. And real-time data is monitored on line, model predictive control is triggered to automatically adjust ore blending when setting is deviated, a sintering-pelletizing-blast furnace collaborative simulation model is built to optimize cross-process parameters, solid waste classified recovery and resource utilization are synchronously implemented, and intelligent low-carbon ironmaking is achieved. The method can improve the quality of molten iron, reduce the production cost, improve the operation efficiency of a blast furnace, reduce pollutant discharge, realize resource utilization of solid wastes, and improve the comprehensive benefits and environmental protection level of ironmaking production.

The invention discloses an ammonia spraying real-time feedback regulation method based on an SCR (Selective Catalytic Reduction) denitration system, which comprises the following steps: dividing a cross section partition on an outlet flue of the SCR denitration system, and synchronously collecting a flue gas sample on the cross section partition; dynamically adjusting the flow of a cooling medium of a gas cold air coil pipe through a self-adaptive fuzzy PID control algorithm, and cooling and dehumidifying each path of collected flue gas sample to obtain a dry flue gas sample; the concentration of each path of dry flue gas sample is analyzed in real time, and the optimal ammonia spraying valve opening strategy of each cross section partition is predicted by combining the ammonia spraying amount of each path, the flue gas flow of the SCR denitration system, the unit load and the ammonia escape concentration and adopting a multivariable model prediction control algorithm; and according to the predicted optimal ammonia injection valve opening strategy of each cross section partition, the ammonia injection valves of the corresponding cross section partitions are adjusted, and real-time feedback adjustment of ammonia injection is achieved.

The application provides an aero-engine high-altitude test bed intake and exhaust system, and belongs to the technical field of intake and exhaust systems, and comprises the following steps: obtaining a flowchart of preset test conditions and an intake and exhaust system, and selecting a suitable test cabin as a first test cabin based on the preset test conditions; performing data analysis based on the preset test conditions to obtain a target working condition, and calculating the operation of each valve based on the target working condition; monitoring the actual operation working condition of the test cabin in real time, and obtaining feedback information based on the real-time detection result; inputting the feedback information into a feedback-regulation scheme mapping table, determining different regulation schemes corresponding to different feedback information, and adjusting the operation working condition based on the regulation scheme. The test cabin provides different temperature and flow rate intake conditions for the engine or engine components in the test cabin, so that different test working conditions are simulated, and the simulation demand is further met.

The invention discloses a regulation and control system and a regulation and control method, the regulation and control system acts on a rock mass sample, the regulation and control system comprises a stress loading mechanism, a tunneling mechanism, an acoustic emission mechanism and a data acquisition and control mechanism, the stress loading mechanism comprises a first power assembly and a pressure head assembly, and the pressure head assembly is connected with the first power assembly; the pressure head assembly is used for applying stress to the surface of the rock mass sample along three mutually orthogonal directions of the rock mass sample under the driving of the first power assembly. And the data acquisition and control mechanism is respectively connected with the stress loading mechanism, the tunneling mechanism and the acoustic emission mechanism. The tunneling mechanism and the acoustic emission mechanism are arranged on the pressure head assembly, the interior of a rock mass sample is tunneled while pressure is applied, acoustic emission data of internal damage are collected and calculated in real time, the data collection and control mechanism analyzes the acoustic emission data, the tunneling speed of the tunneling mechanism is dynamically adjusted, and the acoustic emission data of the internal damage are acquired and calculated in real time. Feedback adjustment of the tunneling speed is achieved, and meanwhile the stability of the rock mass sample in the tunneling process is improved.

The invention relates to the technical field of laser control, and discloses an excimer laser energy detection and feedback regulation system, which comprises an energy acquisition module configured to be used for receiving part of light beams of an excimer laser and converting optical signals into analog current signals. For a strong electromagnetic interference (EMI) environment generated by high-voltage discharge of an excimer laser, nanosecond transient pulses are locked as quasi-direct current signals through a peak holding circuit, and the bandwidth requirement is reduced; the optical fiber transmission module is used for realizing electrical full isolation and cutting off common-mode interference; a truncation mean filtering algorithm is introduced at a source end, and discharge peak noise is accurately eliminated. Compared with the traditional technical scheme of directly collecting only depending on a V / F chip and having no MCU digital processing, the measurement error under the severe working condition is reduced to be within + / -3% from + / -8%, and the detection precision and the anti-interference capability are remarkably improved.

The invention provides a resin composition for a halogen-free flame-retardant cable sheath and a preparation method of the resin composition, and belongs to the technical field of polymer composites for cables, the preparation method comprises the following steps: S1, raw material grading pretreatment and core parameter accurate determination; s2, gradient pre-dispersion and uniformity feedback regulation and control; s3, step-by-step grafting compatibility and grafting rate feedback regulation and control; s4, carrying out dynamic flame-retardant regulation and control melt blending; and S5, gradient cooling granulation and finished product performance verification. In two key links of gradient pre-dispersion and dynamic melt blending, an improved fruit fly optimization algorithm-adaptive fuzzy neural network algorithm and an improved sparrow search algorithm-kernel extreme learning machine algorithm are respectively embedded, and the two algorithms are bidirectionally interactively fused, so that the problems that traditional process parameters are set according to experience and the performance fluctuation is large are solved, and the dynamic melt blending method is suitable for industrial production. The synergistic improvement of the uniformity, the flame retardant property and the mechanical property of the resin composition is realized.

The application relates to the technical field of medical care information science, and discloses an old-age health prediction method and system, which comprises an information collection module, a phase-locked analysis module and a trend determination module, the information collection module synchronously acquires a behavior perturbation sequence and a physiological response sequence; the phase-locked analysis module calculates dynamic phase offset characteristics between the behavior perturbation sequence and the physiological response sequence, and determines a logical deviation residual of a measured phase offset relative to a reference mapping track by using a logic transfer check unit; and the trend determination module monitors a second-order cumulative change rate of the logical deviation residual in a sliding window, and outputs a warning signal when the second-order cumulative change rate exceeds a stability threshold value; the application can perceive the deterioration of body feedback regulation flexibility before a physiological parameter appears abnormal, and avoids prediction failure caused by a physiological compensation mechanism of an old individual by quantifying the information transmission efficiency of a feedback loop.

The invention discloses a real-time monitoring and feedback regulation and control device for oilfield sewage treatment, and belongs to the technical field of sewage treatment. The device comprises a monitoring unit used for collecting multiple water quality parameters and process operation parameters in the oilfield sewage treatment process in real time; the regulation and control unit comprises a medicament adding module, a stirring regulation and control module, a filtering regulation and control module and a water outlet valve control module which are respectively used for adding a demulsifying agent, a flocculating agent and a corrosion inhibitor, regulating stirring parameters, controlling start and stop of a filtering assembly, backwashing and regulating the water outlet flow; the control unit is used for receiving the real-time parameter data transmitted by the monitoring unit, comparing a real-time water quality parameter with a preset threshold value, and generating a regulation and control instruction through the process parameter matching model in combination with a process operation parameter so as to realize closed-loop feedback regulation and control; the auxiliary unit comprises a sewage inlet pipeline, a treatment tank body, a water outlet pipeline and a medicament storage assembly; through multi-unit collaborative design and intelligent technology integration, efficient, intelligent and safe operation of oilfield sewage treatment is realized.

The present application relates to the technical field of intelligent control, in particular to a kind of intelligent control system of high-efficiency ozone generation, comprising the following steps: drive distribution module, gas ratio control module, state identification module, leakage discrimination module, feedback regulation module.In the present application, through the linkage judgment of real-time fluctuation trend of temperature and humidity and response priority order, parameter dynamic sequencing and timely identification of leading factor are realized, combined with dry and wet gas ratio control in ozone reaction efficiency interval, and hierarchical analysis of current curve and discharge stability characteristics in discharge cycle, multi-condition risk discrimination of ozone concentration and airflow change synchronization relationship is introduced, and multi-cycle concentration parameters and key operating parameters are used for progressive comparison of screening and rhythm configuration of stable section, forming automatic adjustment strategy based on multi-source working condition participation item, constructing multi-dimensional condition collaborative identification, dynamic adjustment and real-time feedback cycle closed-loop control structure, realizing adaptive optimization of gas path, discharge and adjustment action.

The invention relates to the technical field of automatic control, and discloses an operation data analysis and control method of intelligent cooking equipment, which comprises the following steps: continuously acquiring an operation state index of the cooking equipment, and acquiring a reference state parameter of a current cooking stage; constructing an operation state track of the cooking equipment based on the operation state indexes, and constructing a reference state track of the current cooking stage based on the reference state parameters; based on the running state track and the reference state track, whether a cooking mismatching state exists in the current cooking stage or not is recognized; if yes, feedback adjustment is carried out on the operation parameters of the cooking equipment until the cooking state regression condition is met; and otherwise, keeping the operation parameter as the preset value of the current cooking stage until the current cooking stage is finished. According to the method and the device, the running state of the cooking process is dynamically analyzed and fed back and adjusted, so that the stability of the cooking process and the consistency of cooking results are improved.

This invention discloses a collaborative reasoning method, system, and training method based on structured memory and feedback regulation. The method utilizes a first model deployed locally to process privacy-filtered task input, generating structured external memory containing logical decomposition, domain knowledge, and constraints. This structured external memory is then combined with the task input to drive a second model to complete the reasoning. The system introduces a consistency check and closed-loop control mechanism to automatically check the privacy compliance and logical integrity of the initial output of the second model. If the check fails, a feedback signal is generated and sent back to the first model, driving it to correct its external memory generation strategy and triggering a retry. Through this approach, this invention achieves physical isolation between sensitive data and the large cloud model, and solves the problems of large model illusion and uncontrollability by utilizing a self-correcting closed loop in the reasoning stage. While strictly ensuring privacy compliance, it significantly improves the robustness and efficiency of complex task reasoning.

The invention discloses a flue gas deacidification agent performance evaluation system and method, and belongs to the technical field of environmental protection. The system comprises a flue gas input module, a medicament spraying module, a reaction module and a detection module which are uniformly controlled by a PLC (Programmable Logic Controller). The system is characterized in that the concentration of acid gas in tail gas is monitored in real time through a detection module, the injection concentration of a medicament is dynamically fed back and adjusted by adopting a cascade PLC control strategy, and actual engineering control logic is simulated; and the cyclone separator and the high-precision weighing ash hopper are integrated, so that the real-time accurate metering of the reaction ash yield is realized. The evaluation method comprises three stages of preparation, reaction and evaluation, and can synchronously and accurately evaluate the deacidification efficiency and economy of the deacidification agent and the influence on the fly ash yield. A reliable experimental platform and evaluation means are provided for developing high-quality deacidification agents, and optimization of waste incineration flue gas purification and reduction of sources of fly ash are facilitated.

The application provides a methanol reforming hydrogen production device test bench, and relates to the technical field of new energy sources.The methanol reforming hydrogen production device is connected with an air supply branch, a methanol water vapor supply branch, a heating branch, a reforming gas treatment branch and a temperature measurement branch.The air supply branch comprises a blower, an air flow meter and a temperature sensor 1.The methanol water vapor supply branch comprises a constant flow pump 1, a liquid flow meter 1 and a temperature sensor 2.The heating branch comprises a constant flow pump 2, a liquid flow meter 2, a temperature sensor 3 and a temperature sensor 4.The temperature measurement branch comprises a temperature sensor 5, a temperature sensor 6, a temperature sensor 7 and a temperature sensor 8.Feedback regulation is realized through the cooperation of a plurality of constant flow pumps, a plurality of liquid flow meters, a blower, an air flow meter and other controllable actuators and sensors, so that the reactant flow entering the methanol reforming hydrogen production device can be accurately controlled, and quantitative analysis on the performance of the methanol reforming hydrogen production device can be realized.

The invention discloses a dust concentration dynamic control method based on a powder adding system and feedback regulation. The dust concentration and environmental parameters of an air inlet, an air outlet and a geometric center area of a closed box are obtained in real time through a data acquisition module; the data processing module preprocesses the acquired data and calibrates the dust concentration in combination with a spatial weight coefficient and an environment compensation formula; the data analysis module calculates the standard deviation, the real-time mean value and the change rate of the calibrated concentration; when the average value is lower than a second threshold value, a powder adding increment instruction is generated, when the average value is between the second threshold value and a third threshold value, the current state is maintained, when the average value is higher than the third threshold value, dust removal is started, powder adding is stopped, and the control module dynamically adjusts the rotating speed of the screw feeder to accurately add powder; according to the method, the dynamic closed-loop control of the dust concentration is realized, and the stability and the response efficiency are improved.

In order to solve the problem of insufficient residual chlorine concentration control precision caused by manual measurement errors and a fixed adding mode in the prior art, the invention provides a chlorine disinfectant intelligent regulation and control system and method based on water body volume dynamic identification. Water depth data is detected in real time by combining a pressure sensor, an embedded control module generates an initial dosage according to a polymorphic volume calculation model for dynamically calculating the volume of a water body and a dosage acquisition model, and accurate dosage is executed by a peristaltic pump. A three-level control strategy is innovatively introduced into the system, and feed-forward calculation, residual chlorine feedback adjustment and load prediction functions are fused. Actual measurement shows that the fluctuation range of the residual chlorine concentration can be reduced to + / -0.1 ppm from + / -0.4 ppm of a traditional method, the adding efficiency is improved by 40% or above, and the method is particularly suitable for swimming pools and water storage pools with frequently-changed water levels.

The present application relates to the technical field of forest seedling and intelligent agriculture, and specifically discloses an intelligent monitoring and nutrient regulation system for sprouting seedlings of fragrant fruit trees, which calculates the red edge position blue shift deviation by collecting the multispectral image of the crown layer of the sprouting seedlings to identify the phosphorus deficiency phenotype; determines the spatial phosphorus deficiency and obtains the root zone reference conductance value by combining the root zone and surface layer phosphorus concentration spatial comparison detection; determines the irrigation interval according to the difference between the reference conductance value and the critical value of fertilizer damage, and precisely applies high-phosphorus water-soluble fertilizer by using pressure-compensating drippers with low flow; after irrigation, the irrigation time is dynamically shortened and the target conductance value is reduced according to the root zone conductance rise amplitude, and after continuous execution for three days, the irrigation is terminated when the blue shift deviation and the color of the newly grown leaves both meet the recovery conditions; the present application realizes early identification and closed-loop feedback regulation of the spatial phosphorus deficiency of the sprouting seedlings of fragrant fruit trees, avoids fertilizer damage and root rot, and improves the accuracy and safety of nutrient regulation.

The utility model discloses a stable boost circuit of an ultrasonic liquid level sensor, which comprises a power supply, a boost transformer, a filter circuit, a drive circuit, an overcurrent and overvoltage linkage protection circuit and a feedback regulation circuit, the drive circuit is electrically connected with the filter circuit and the overcurrent and overvoltage linkage protection circuit, and the feedback regulation circuit is electrically connected with the overcurrent and overvoltage linkage protection circuit; according to the utility model, the overcurrent and overvoltage linkage protection circuit is combined with the feedback regulation circuit, so that effective monitoring and regulation of current and voltage in the driving circuit and overcurrent and overvoltage linkage protection can be realized, and through linkage protection, the situation that damage is aggravated by another factor when the circuit is abnormal due to a certain factor can be effectively reduced, and the service life of the driving circuit is prolonged. Therefore, the reliability and the safety of the stable boost circuit are improved.

The invention discloses a feedback adjustment system, a laser additive manufacturing device and a feedback adjustment method.The feedback adjustment system comprises a multi-source collection module, a data processing module, a defect recognition module, a process control module and an adjustment feedback module, and the multi-source collection module is arranged corresponding to an execution component of the laser additive manufacturing device; the multi-source acquisition module can acquire molten pool state information and powder transmission information in laser additive manufacturing, the molten pool state information and the powder transmission information are processed through the data processing module, the defect recognition module recognizes the category, the position and the defect evolution trend of defects, and the process control module adjusts process parameters in laser additive manufacturing according to the category and the position of the defects. And the adjustment feedback module sends the adjusted technological parameters to the execution part, the multi-source acquisition module continuously acquires information in the machining process, and the feedback adjustment system continuously feeds back and adjusts the technological parameters of the execution part according to the acquired information so as to continuously monitor and form dynamic adjustment on defects, so that detection and closed-loop control on the defects are realized.

The application relates to the technical field of medical data processing, and discloses a critical patient multi-organ function failure evolution path prediction system, which comprises a collection and preprocessing module, an adaptive dynamic characteristic extraction module, a physical dissipation constraint causal topology analysis module, a closed-loop feedback controller and a cascade failure path deduction module. The system extracts dynamic characteristics and calculates a physical effectiveness coefficient based on multi-modal physiological signals, uses the coefficient to correct transfer entropy to construct a multi-organ coupling network; the closed-loop feedback controller dynamically adjusts the embedding dimension parameter of the front-end characteristic extraction according to the total in-degree coupling strength of the network, forming a bidirectional constraint closed loop between the physical layer and the information layer. The application can effectively identify a pathological driving source, deduce the cascade propagation sequence of organ function failure, eliminate false causal connections through physical mechanism constraint and feedback regulation, and improve the accuracy of evolution path prediction.

This invention relates to the field of coal washing and processing technology, and discloses a method and computer equipment for integrating a chemical dosing system and a filter press system in a coal preparation plant. The method includes the following steps: the chemical dosing system calculates the target value of the flocculant based on the raw coal quantity and process parameters, and generates the real-time flocculant flow rate by combining turbidity feedback correction. Key parameters are introduced, and the filter press system monitors the concentration pressure, controls operation, and generates an operating sequence. During the low-pressure stage, a follow-up strategy is implemented, using the real-time flocculant flow rate and critical proportionality constant to calculate the target flow rate of the filter aid and adjust the frequency. During the non-low-pressure stage, a feedback strategy is implemented, collecting the effective filter press feeding time according to the operating sequence, comparing it with the standard time, and then performing reverse feedback adjustment to correct the filter aid pump frequency. This invention overcomes the impact of process lag by constructing a segmented closed-loop control logic across systems, achieving dynamic and precise control of the chemicals, improving filter press efficiency and reducing costs while ensuring concentration effects.

The application relates to the technical field of electronic data processing, and discloses a micro-service concurrent scheduling method and system based on DAG driving, which comprises the following steps: obtaining a directed acyclic graph, identifying strong dependence edges and weak dependence edges, topologically layering the directed acyclic graph, and calculating a global parallel degree factor; determining a prediction range, analyzing nodes in a subsequent main service layer in the prediction range, and generating a predictive resource demand vector; determining target numbers of various service instances in a warm-up pool; when a health degree attenuation value is lower than an activity threshold value, marking an idle instance as a state to be refreshed; calculating scheduling affinity degrees of each matching pair, selecting a matching pair with the highest affinity degree to execute a task; if execution time consumption exceeds a statistical benchmark, recording the type of a service node and a timeout range as a path blocking event; and updating a historical path blocking degree, which is used for feedback regulation of the target number of the subsequent warm-up pool. The application can match a task to an optimal execution instance, and improves scheduling decision quality.

The application provides a method and system for simulating a microtubule self-organizing process in interphase cell polarization, and belongs to the fields of computational biology and physical technology; the method comprises the following steps: abstracting a cell as a two-dimensional circular domain, abstracting a microtubule as a line segment with a fixed direction starting from a point-like centrosome in the circular domain, abstracting a polar factor space distribution as a concentration field in the circular domain, and performing a time-dependent evolution process simulation by coupling centrosome positioning, microtubule length evolution and polar factor space distribution dynamics. The application can comprehensively investigate the feedback regulation mechanism of the microtubule self-organizing process in interphase cell polarization.

The application discloses an evaluation system for an epilepsy electroacupuncture treatment target based on an amygdala nerve response prediction, relates to the technical field of nerve regulation and brain function modeling, and realizes the multi-modal synchronous collection of brain region potentials, blood oxygen and metabolic activities through high-density EEG, electrophysiological sensors, fMRI and PET, and constructs a standardized nerve response dataset and a brain region function mapping matrix. An amygdala prediction response index is calculated and compared with a response threshold, a stimulation response compliance judgment and parameter correction are realized. The nerve response propagation delay, cooperative coupling coefficient and epilepsy wave front tracing time are calculated, a comprehensive target evaluation coefficient is obtained, and effective target points are screened. Based on the treatment scheme implementation of the effective target point set, the nerve feedback data in the continuous treatment cycle is monitored in real time, and a nerve plasticity correction index is calculated, compared with a plasticity stability threshold, an adaptive feedback regulation closed loop is formed, and precise prediction and dynamic optimization control of epilepsy electroacupuncture targets are realized.

The invention belongs to the technical field of functional food, and particularly relates to plant silicon water capable of improving lipid metabolism and a preparation method of the plant silicon water. The preparation method of the plant silicon water comprises the following steps: S1, providing a fumed silica precursor; s2, placing the fumed silica precursor in a reaction device to obtain silicon-containing gas; s3, the silicon-containing gas is guided into an oxygen-enriched combustion chamber for combustion purification, and a purified silicon gas phase product is obtained; s4, introducing the purified silicon gas-phase product into pure water for dissolution and crystallization to obtain a plant silicon water crude product; and S5, performing component quantification and regulation on the plant silicon water crude product. According to the invention, metasilicic acid and silicon dioxide are combined with a set of complete high-temperature gas-phase reaction, purification, dissolution crystallization and feedback regulation preparation process according to a specific component ratio. The silicon is ensured to stably exist in water in the form of water-soluble silicon dioxide, and the problems of poor water solubility and unstable components of common silicon dioxide are solved.

The invention relates to the technical field of industrial wastewater treatment, in particular to a circulation coupling treatment system for a water treatment station in an industrial park, which comprises a reaction monitoring module, a dominant analysis module, a feedback analysis module and a feedback regulation module. Determining a sliding window of the corresponding monitoring data; constructing a ternary array as a processing path array, and calculating a dominant coefficient at any moment by using the change trend and amplitude level of data points in a sliding window corresponding to the monitoring data at any moment, so as to serve as a dominant coefficient of each processing path in the processing path array; and performing weighted fusion on all the dominant coefficients in the processing path array so as to determine a feedback coefficient at any moment, and adjusting the current density by using the feedback coefficient at the current moment. The treatment efficiency of the organic wastewater is improved.