321 results about "Drug dosages" patented technology

The invention relates to a nitric oxide data analysis method and system for bronchial asthma assessment. According to the method, exhaled air nitric oxide and pulmonary alveolar nitric oxide of a patient, omics data and clinical information are acquired in a standardized manner, and multi-dimensional features are constructed after data cleaning and fusion; comprise an inflammation level index, an inflammation region entropy, an inflammation synergy index, a glucocorticoid response factor, an infection-smoking synergy influence factor and a heredity-symptom distribution index. And outputting initial risk assessment based on an explainable elevator EBM model, and finally generating an asthma risk probability through a weighted integration formula to realize three-level layering: low / medium / high risk. The system dynamically associates treatment decisions, for example, the drug dosage and the monitoring frequency are improved when the risk is upgraded, and the medication scheme is optimized when the risk is degraded. According to the scheme, the limitation of traditional single marker static analysis is broken through, multiple mechanisms of dissection, immunity and pharmacology are fused, the evaluation precision and clinical applicability are remarkably improved, the acute attack rate is reduced, and accurate typing treatment is guided.

The invention discloses an intelligent anesthesia monitoring and regulation system, and relates to the technical field of medical monitoring and automatic control. The system comprises a data acquisition and preprocessing module, a dynamic physiological model construction module, an anesthesia state evaluation and prediction module, a real-time uncertainty quantification module and a layered hybrid closed-loop regulation and control module. The layered mixed closed-loop regulation and control module is used for predicting the change track of the anesthesia depth under different administration strategies in a few minutes in the future through a dynamic physiological model, and calculating an optimal administration rate sequence which can maintain the anesthesia depth in a target range and can minimize the drug dosage and blood pressure fluctuation through online optimization, so as to obtain the optimal administration rate sequence. The confidence score is referenced when controlling the administration rate. The system can realize highly personalized anesthesia monitoring and regulation and control, and has the advantages of quantifiability, high reliability, stable operation, accurate regulation and control and the like.

The invention relates to the technical field of medical severe illness monitoring and management systems, in particular to an intensive illness medical patient monitoring and management system based on multi-modal data fusion, and the system comprises a physiological feature extraction module which collects a first feature set and processes the first feature set into a second feature set containing an electroencephalogram entropy value and cerebral perfusion pressure; the pathological state decoupling module is used for inversely calculating an observation vector, calculating a pharmacological stress vector in combination with a pharmacological baseline and a drug dosage, obtaining a pathological vector after stripping, and generating a pathological index; the evolution trend prediction module is used for predicting risk factors according to the pathological vector time sequence data; the closed-loop intervention decision-making module is used for combining the pathological indexes and the risk factors, calculating the medicine dosage adjustment amount according to a second mapping relation, and updating the infusion rate to achieve closed-loop regulation and control, and according to multi-modal data fusion and module cooperation, pharmacological stress is stripped, and the pathological indexes are generated so as to accurately judge the illness state; the risk can be actively predicted, and the drug dosage is automatically adjusted in combination with pathological indexes, so that the management efficiency and safety of critical patients are improved.

The invention provides a drug dosage adjusting system and method based on blood concentration prediction, and belongs to the field of medical artificial intelligence, and the method comprises the steps: obtaining a standard structured data code based on a preset historical clinical database; performing standard structured data coding based on the predicted feature factor set to obtain a predicted feature factor set and a time point combination; constructing a classification prediction model and a regression prediction model based on the prediction feature factor set; a to-be-predicted blood sample is collected in a prediction characteristic factor set time point combination mode, and a blood concentration prediction result is obtained based on the to-be-predicted blood sample of the prediction characteristic factor set, the prediction characteristic factor set classification prediction model and the regression prediction model; and adjusting the dosage according to the blood concentration prediction result. According to the invention, individual differences are analyzed individually, personalized medication dosage adjustment suggestions are generated, and the medication dosage adjustment reliability is improved.

The invention discloses an agricultural protection unmanned aerial vehicle and a dynamic path optimization method, and belongs to the technical field of unmanned aerial vehicles. The agricultural protection unmanned aerial vehicle comprises an unmanned aerial vehicle body, a mounting part is arranged on the unmanned aerial vehicle body, a pesticide barrel which is vertically arranged and used for containing pesticide liquid is arranged in the mounting part, and a plurality of nozzles which are annularly arranged and used for pesticide spraying operation are arranged at the bottom of the pesticide barrel; the unmanned aerial vehicle body is further provided with an acquisition module used for acquiring a whole area image of a plant operation area and an image processing module used for identifying the acquired image according to plants and marking plant growth density in a partitioned mode. Compared with the prior art, the self-adaptive pesticide spraying device has the advantages that self-adaptive pesticide distribution and spraying are realized according to different growth densities, the conditions of excessive spraying and insufficient spraying of the plants in areas with lower growth densities are avoided, and the spraying efficiency of the plants is improved. The crop planting quality is improved, and the high use value is achieved.

The invention relates to the technical field of medical decision and artificial intelligence, and discloses an artificial intelligence-driven new adjuvant therapy scheme optimization method and system for antral sinus cancer, and the method comprises the steps: S1, obtaining clinical data of a antral sinus cancer patient, and carrying out the preprocessing; s2, screening core features by adopting an iterative ReliefF algorithm, and constructing composite features; s3, constructing a prediction model based on a Bayesian optimization K-nearest neighbor algorithm, taking the composite features as input of the prediction model to predict treatment response, and outputting individual tumor recession grade probability distribution of the patient; s4, taking the tumor recession grade probability distribution as a core component of a state space, inputting the tumor recession grade probability distribution into a double-layer reinforcement learning framework based on a penalty mechanism to optimize a treatment decision, and outputting a personalized treatment strategy parameter set; and S5, performing real-time scanning and verification on the drug dosage parameters in the strategy parameter set, and outputting a final approved personalized treatment scheme. The precision and intelligent level of gastric antrum cancer treatment is improved.

The invention relates to the technical field of medical care informatics and precision medical treatment, and discloses a hemodialysis patient precision medication system based on multiple omics and big data, and the system comprises a multi-source data collection module which collects the multi-source heterogeneous data of a patient and carries out the standardization and integration processing; the drug metabolism analysis module is used for analyzing drug metabolism paths and individual differences through multi-omics data, constructing a drug metabolism polymorphic model and outputting gene metabolism capability grades and biomarker risk tags; the initial medication decision-making module is used for constructing an initial medication decision-making model based on a federal optimization framework of a momentum enhancement and robust aggregation mechanism, and outputting a personalized initial medication scheme for erythropoietin and a vein iron agent; and the drug dosage adjustment module is used for dynamically optimizing the time node and dosage adjustment opportunity of drug administration through an asynchronous federal reinforcement learning framework in combination with a prospective parameter correction strategy. According to the invention, the intelligent medication system with strong robustness and fine decision is constructed.

The invention discloses a wound healing state evaluation method and system based on artificial intelligence, and belongs to the field of wound healing evaluation. The method comprises the following steps: integrating medical record data and wound physiological parameters, and extracting relevance between a medication history and an infection type to form a multi-dimensional pathological factor; hemoglobin oxygenation, blood flow and metabolic heat are subjected to cross-period correlation analysis to construct dynamic physiological time-space information, pathological factors and the physiological time-space information are fused into a heterogeneous graph, nodes comprise drug intensity quantized values, infection risk levels and microcirculation fluctuation values, and edge weights are determined by the time sequence matching degree of drug doses and blood flow changes; based on the node weight and the edge association relationship, the treatment time and the physiological parameter acquisition period are aligned to generate a spatio-temporal evolution matrix, the spatial distribution of the infection risk level and the metabolic heat value characteristics are combined, the dynamic association of the drug action intensity and the microcirculation fluctuation is analyzed, and wound healing evaluation information is generated. The accuracy of wound healing state evaluation can be improved.

The invention provides a stem cell exosome for overexpressing A beta degrading enzyme as well as a preparation method and application of the stem cell exosome. Specifically, the invention provides an application of the stem cell exosome overexpressing A beta degrading enzyme in preparation of drugs, and the drugs are used for at least one of the following: prevention, improvement or treatment of cognitive impairment related diseases; neuronal cell damage is improved; wherein the stem cells for overexpressing the A beta degrading enzyme are prepared through lentivirus transfection. According to the stem cell exosome overexpressing the A beta degrading enzyme, the content of the A beta degrading enzyme is obviously higher than that of the exosome prepared by a traditional method. Therefore, when the compound is prepared into a medicine for treating or preventing cognitive impairment related diseases, the medicine can be efficiently conveyed to the brain, and the concentration of the medicine in the brain is remarkably improved, so that the curative effect is enhanced, the dosage of the medicine can be reduced, the side effect is reduced, and the prognosis of brain diseases is effectively improved.

The invention discloses a drug targeted delivery device and method, and belongs to the technical field of intelligent medical treatment. The device comprises the following modules: an intelligent targeted recognition module for accurately recognizing a gastric cancer specific molecular marker and improving the selectivity and specificity of targeted recognition in combination with a dynamic surface modification strategy; the microenvironment real-time monitoring module is used for monitoring key physiological parameters of the gastric cancer microenvironment in real time; the intelligent path planning module is used for dynamically calculating and optimizing a drug delivery path and realizing accurate drug positioning; the personalized drug administration regulation and control module is used for accurately predicting the drug dosage demand of an individual and dynamically and finely adjusting the drug administration amount in real time; the drug resistance risk management module is used for early warning a drug resistance risk in advance and automatically generating a personalized alternative drug administration strategy through multi-dimensional drug resistance analysis and real-time early warning; and the intelligent drug release module adopts a temperature-sensitive / pH-sensitive polymer shell layer and a nano valve to control drug release, so that precise gradient release of drug concentration is realized.

The invention discloses a clinical decision-oriented medical data analysis system, and relates to the technical field of medical data analysis, the clinical decision-oriented medical data analysis system comprises a patient end, a medical diagnosis end and a medical decision-making system, the medical decision-making system comprises a data acquisition unit, a data analysis unit, a decision-making output unit and a decision-making optimization unit; according to the method, the medical data is acquired, the disease course prediction model is established according to the historical diagnosis and treatment data of the patient, the disease course prediction result is obtained in combination with the medical data, and the medical seeing ability evaluation coefficient of the patient is obtained through comprehensive calculation based on the personal economic data of the patient and the social income data of the patient. The method comprises the following steps: judging the doctor-seeing ability of a patient according to a preset doctor-seeing ability evaluation interval, outputting a target decision scheme which can be loaded by the patient according to the doctor-seeing ability level of the patient, and when the scheme adaptation degree reaches a preset scheme evaluation threshold value, marking the target decision scheme as an optimizable scheme. And controlling and outputting a target optimization scheme by simplifying the examination process and the drug dosage in the treatment process.

The invention discloses an individualized drug dose optimization method based on causal traceability, which improves the accuracy and clinical adaptability of dose regulation and control through a multi-modal space-time alignment and feature decoupling technology, causal reasoning modeling and causal effect quantification and individualized dose optimization, can effectively reduce adverse reactions in the treatment process, and improves the treatment efficiency. The life cycle of a patient is prolonged, the life quality is improved, meanwhile, the long-term medication cost is reduced, and wide clinical application prospects and popularization values are achieved.

The invention discloses an intelligent monitoring, prevention and control system for tobacco brown spot, and relates to the technical field of agricultural disease monitoring and intelligent prevention and control. A lower canopy monitoring array, elevation thermal infrared and red edge near infrared imaging and spore sampling (fluorescent quantitative PCR / loop-mediated isothermal amplification) are used as inputs; fog drop deposition D, leaf surface water film W and spore concentration S are predicted through multi-modal alignment and a physical field generator; carrying out long sequence risk assessment by inputting a correlation state space model and superposing a liquid state self-correlation kernel, and carrying out long sequence risk assessment by using concentric wheel patterns and narrow yellow halo (rlt; 0.15) + near-infrared / short-wave infrared black mould layer triple discrimination and checking, and a prescription is formed by combining double-pulse triggering that leaf surface wetting is larger than or equal to 8 h or a spore index reaches a threshold. The prescription comprises night microclimate intervention, variable spraying and leaf thinning control; resistance rotation compliance is realized through prescription uplink pre-check and electronic control unit unlocking; based on row belt / Thiessen polygon scheduling, 36 h coverage is larger than or equal to 95%, the dosage and residues are reduced, and the hit rate and timeliness are improved.

The invention discloses an excrement character recognition and drug delivery closed-loop control method and system, and the system comprises an excrement collection and preprocessing module which is used for carrying out the automatic collection, preliminary physical and chemical character detection and sample preprocessing of the excrement of a patient; the multi-modal data analysis module is used for carrying out deep fusion analysis on the original multi-modal data output by the excrement collection and preprocessing module and carrying out diarrhea type diagnosis and severity evaluation; the drug delivery closed-loop control module is used for accurately and dynamically infusing drugs according to the diagnosis result of the multi-modal data analysis module; and the man-machine interaction and early warning module is used for monitoring and intervening the state of the system by medical staff and receiving important alarms. According to the invention, objective and continuous evaluation of excrement properties is realized, the drug dosage and scheme can be dynamically adjusted according to the properties, and the accuracy, individualization level and safety of diarrhea treatment of critical patients are significantly improved.

The invention discloses a subcutaneous administration intelligent health management system based on dynamic data, and relates to a medical instrument. According to the system, the data monitoring system, the drug delivery strategy calculation system and the subcutaneous drug delivery system are adopted for monitoring and processing health data and quickly responding to drug intervention, so that the problem that only health data can be monitored and health suggestions can be provided at the present stage, and abnormal health conditions cannot be handled in time is solved; according to the full-automatic management method of'detection, diagnosis and administration ', the compliance of a patient is improved; personalized and intelligent real-time administration calculation is achieved, the effect is guaranteed, meanwhile, the dosage of the medicine is reduced to the maximum extent, and side effects are reduced; the non-invasive transdermal drug delivery performed by using the microneedle system can reduce the problem of low bioavailability of the drug due to the effects of first pass metabolism and the like, and is more friendly to patients with dysphagia.

The utility model discloses a medicine taking bottle capable of controlling the medicine amount, and belongs to the field of medical instruments. Comprising a bottle body part used for containing medicine; the bottle cap part is mounted on the bottle body part in a threaded manner; the medicine taking opening is used for taking out medicines; the medicine taking assembly is arranged in the bottle cap piece; the medicine taking assembly comprises a medicine storage tray arranged in the bottle cap piece; a plurality of medicine storage cavities are formed in the medicine storage tray; the plurality of fan-shaped baffles are arranged on the medicine storage tray; the bottom plate is rotationally arranged on the bottle cap part; the through hole is formed in the bottom plate; and the medicine taking tray is rotationally arranged on the bottle cap. The medicine taking bottle capable of controlling the medicine amount has the beneficial effects that the medicine taking amount is controlled by arranging the medicine storage disc and the fan-shaped baffle and adjusting the number of the medicine storage cavities shielded by the fan-shaped baffle, the medicine inner cavities are separated from the outside through the arranged baffle and the medicine taking disc, and it is avoided that external pollution enters the medicine bottle during medicine taking.

The invention belongs to the technical field of medicines, and provides application of a natural-source compound monomer medicine composition in preparation of medicines for preventing and / or treating pancreatitis. The pharmaceutical composition comprises baicalin, paeoniflorin, geniposide, wogonin, baicalein, albiflorin, tetrahydropalmatine, rhein, wogonin, aloe-emodin, saikoside A, emodin, benzoyl paeoniflorin, chlorogenic acid, costunolide, or a pharmaceutically acceptable salt thereof. Compared with the prior art, the pharmaceutical composition disclosed by the invention has the advantages that the components of the composition are definite and are all natural sources, the safety is good, the pharmaceutical effect has a remarkable synergistic effect, the administration dosage is reduced by about 200 times under the condition that the treatment effect is better than that of a compound traditional Chinese medicine, the administration mode of the compound medicine for treating pancreatitis is innovated, and the pharmaceutical composition is suitable for clinical application. A new scheme is provided for the treatment of the disease.

A system including a user device and a storage device communicating wirelessly with each other. The user device includes a processor, a memory, and a wireless transceiver. The storage device includes multiple openings, each opening being configured to store an unused injection device for a period of time and wherein each opening has an associated sensor, and a storage device wireless transceiver. The user device can be configured to scan a first injection device to determine at least one of a drug dosage contained within the first injection device and a device expiration date of the first injection device, and to create first device data relating to the drug dosage and the device expiration date and to associate the first device data with a first opening of the plurality of openings of the storage device.

The invention relates to construction of an oral drug-loading nano-structure lipid carrier with double-targeting design and application of the oral drug-loading nano-structure lipid carrier in treatment of ulcerative colitis, the oral drug-loading nano-structure lipid carrier comprises solid liposome, liquid liposome and active substances, and the active substances are entrapped in a lipid layer formed by the solid liposome and the liquid liposome. The dual-targeting nano-structure liposome can effectively improve the solubility of the drug, target colon and inflammatory tissues, improve the curative effect and reduce the dosage of the drug.

The invention discloses a drug response prediction model for drug combination based on multi-omics data and transfer learning and application, belongs to the technical field of drug response prediction, and solves the problems that a traditional method is lack of a drug response prediction system based on dosage, is mostly based on single drug response prediction, is lack of modeling ability for drug combination, and cannot predict drug response. Meanwhile, the cost is high, the period is long, and individual differences cannot be reflected. According to the prediction model, digital characteristic data, drug dosage and cell line multi-omics data of drugs are integrated, the prediction model adopts a combined transfer learning algorithm, parameters of a single drug response model are migrated into a drug combination model, a gene function module is introduced to enhance the interpretability of the model, and the prediction model can be applied to drug combination. Four cross validation strategies are adopted for evaluation of the prediction model, so that the drug response of drug combination of different candidate drugs is predicted, the method can be used for predicting the response of the drug combination, and the optimal drug combination and dosage are recommended.

The invention discloses a self-adaptive regulation and control method and system for an in-cabin environment driven by vital signs of a wounded person, and relates to the technical field of crossing of medical equipment and environment control. According to the self-adaptive regulation and control method and system for the in-cabin environment driven by the vital signs of the wounded person, a four-dimensional data acquisition system composed of physiology, environment, medical intervention and space-time scenes is built; the method comprises the following steps: synchronously acquiring multi-dimensional vital signs including brain electricity, skin electricity and other nerve and stress indexes, an in-cabin dynamic environment including detailed parameters such as airflow velocity and particulate matter concentration, external medical operation covering drug dosage and equipment working parameters, and transfer scene data including altitude change and bumping intensity; the limitation that only single environment or physiological data is acquired in the prior art is solved; when a craniocerebral injury wounded person is transported in an air transport mode, the system can be combined with the altitude change rate and the electroencephalogram alpha wave power, the blood oxygen lowering risk can be pre-judged 10 minutes in advance, and the problem that misjudgment is conducted only through current data traditionally is avoided.

The invention discloses a personalized drug metabolism management system based on body temperature data, and relates to the field of medical health management, and the system comprises a body temperature data collection module which is used for continuously monitoring and collecting body temperature time sequence data before and after a patient takes medicine; the body temperature response fingerprint construction module is used for generating body temperature response fingerprints corresponding to specific medicines and doses according to the body temperature time sequence data; the medicine state recognition module is used for recognizing the medicine metabolism state of the patient according to the body temperature response fingerprint; and the dosage optimization module is used for determining personalized optimal medicine dosage and medicine taking time according to the medicine metabolism state. The problem that a traditional medicine management method cannot meet individual difference requirements is solved.

The present invention relates to a fungicide composition containing a triazole compound and its use. The composition comprises an active ingredient A and an active ingredient B, wherein the active ingredient A is cyclobutrifluram and the active ingredient B is a triazole compound selected from flutriafol, hexaconazole, and diniconazole. The fungicide composition or its formulation of the present invention can enhance drug efficacy, reduce drug dosage, improve control effectiveness, and delay the development of drug resistance.

The utility model relates to an ointment dosing device capable of dosing quantitatively, which solves the problems that the dosage can not be stably controlled, the ointment can not be daubed uniformly and the sanitation can not be guaranteed in the existing ointment daubing mode. The device comprises a front-back through outer sleeve, a push rod is arranged in the outer sleeve in a sliding and penetrating mode, an elastic buckle is arranged on one side of the rear end of the outer sleeve, a plurality of clamping steps corresponding to the elastic buckle are arranged on the rear portion of the push rod, and a silicon rubber sleeve is arranged at the front end of the push rod in a sleeved mode. The gear of the push rod can be adjusted according to different drug dosages, quantitative drug delivery is achieved, in the drug delivery process, a very small amount of ointment adheres to the inner wall of the outer sleeve, waste is reduced, finally, the silica gel sleeve is adopted for isolation to evenly smear the ointment, and cross infection is avoided.

The invention provides an electroencephalogram consciousness monitoring data analysis method and system applied to anesthesia management. The method comprises the following steps: acquiring EEG signal entropy sequence data of an anesthesia object, carrying out dynamic entropy change analysis on the EEG signal entropy sequence data to obtain an entropy change feature vector of the anesthesia object, carrying out time domain phase coupling modeling on the EEG signal entropy sequence data to obtain a phase synchronization feature matrix of the anesthesia object, and according to the entropy change feature vector and the phase synchronization feature matrix, carrying out dynamic entropy change analysis on the EEG signal entropy sequence data to obtain the EEG signal entropy sequence data of the anesthesia object. Generating consciousness state fusion features of the anesthesia object; according to the consciousness state fusion features, anesthesia state prediction is conducted on the anesthesia object, and the EEG signal entropy of the sampling time sequence nodes of the anesthesia object in the second time period is obtained. According to the method, accurate prediction of the EEG signal entropy of the sampling time sequence node of the anesthetic object in the second time period can be achieved, the anesthetic state of the anesthetic object can be monitored more accurately, the anesthetic dosage can be adjusted in time, and the safety and effectiveness of the operation process are ensured.

The invention belongs to the technical field of biological medicine, and particularly relates to a pharmaceutical composition of an HDAC6 inhibitor and a BTK inhibitor and application of the pharmaceutical composition. According to the present invention, the BTK inhibitor and the HDAC6 inhibitor are combined for use to provide the synergistic effect, such that the tumor inhibition effect is significantly enhanced, the medication dosage and the medication period can be improved, the side effect of the drug can be easily reduced, and the compliance of the patient on the drug can be easily improved.

The present disclosure, in some aspects, is directed to methods of designing an oral drug dosage form formulated and configured to have a desired pharmacokinetic profile. In other aspects, the present disclosure is directed to oral drug dosage forms having a desired pharmacokinetic profile, and methods of making, such as three-dimensional printing, such oral drug dosage forms.

The invention discloses a self-aggregation-induced emission type photosensitizer and a preparation method and application thereof. The photosensitizer has excellent AIE performance, and singlet oxygen can be efficiently generated after aggregation in a physiological environment; and the photosensitizer can effectively overcome the aggregation-induced quenching phenomenon, and has a synergistic effect with the lovir drugs, so that the anti-herpes virus activity is remarkably improved, and the dosage and side effects are reduced.

This invention discloses a hydrogel for tumor treatment based on improving the tumor microenvironment to trigger gas therapy combined with chemotherapy, belonging to the field of biomedical technology. The hydrogel drug delivery system utilizes lipopolysaccharide (LPS) to induce local inflammatory stimulation, thereby altering the tumor microenvironment of breast cancer and promoting nitric oxide (NO) production. The NO donor arginine (L-Arg) and the chemotherapy drug doxorubicin (DOX) are transported using sodium alginate (ALG), achieving combined gas therapy and chemotherapy to inhibit breast tumor growth. The drug delivery system of this invention not only enhances the effect of chemotherapy but also simultaneously achieves precise drug delivery and reduces drug dosage. The preparation method of the drug delivery system of this invention is simple, safe, and without toxic side effects, showing promising application prospects in tumor treatment and possessing significant clinical value.

The utility model belongs to the technical field of tap water production dosing, and particularly relates to a dosing and mixing device for tap water production, which comprises a support and a medicine storage tank fixedly connected above the support through a connecting block, a tank cover is arranged above the medicine storage tank, a stirring mechanism is arranged in the medicine storage tank, and the stirring mechanism is connected with the support. A quantitative medicine discharging mechanism is arranged at the bottom of the medicine storage tank; the quantitative medicine discharging mechanism comprises a first water pipe, a second water pipe, a third water pipe, a fourth water pipe, a fifth water pipe, a first check valve, a water pump, a flow meter, a second check valve and an electromagnetic valve, and one end of the first water pipe is fixedly connected to the bottom of the medicine storage tank. According to the dosing and mixing device for tap water production, through the design of the quantitative medicine outlet mechanism and the accurate cooperation of a water pipe, a check valve, a water pump, a flow meter, an electromagnetic valve and other components, accurate control over the dosing amount of medicine is achieved, and it can be guaranteed that the medicine is accurately added into tap water according to the preset proportion; the accuracy and the stability of water quality treatment are improved.