32 results about "Dosage adjustment" patented technology

The invention relates to an intelligent integrated medicine dispensing method and system, and the method comprises the steps: obtaining the prescription information of a target patient, obtaining the image data and bar code data of a to-be-dispensed medicine, carrying out the combined matching verification based on an image recognition result and a bar code analysis result, and recognizing a target medicine matched with a prescription medicine; judging whether a potential drug risk exists in the current prescription or not by utilizing a knowledge graph reasoning mechanism, and generating a dosage adjustment suggestion when the risk is detected; based on medicine components contained in the prescription information of the target patient, performing medicine classification processing, judging whether the medicine components have a cross-sharing relationship with other temporarily stored prescription medicines, and if the cross-sharing relationship exists, constructing a list of medicines to be dispensed; and for the compound medicine components contained in the list to be dispensed, completing dose disassembly and recombination processing among the compound components according to a preset proportioning logic to generate a compound dispensing result. The method has the effect of improving the automation precision of compound dispensing.

The invention discloses an anti-radiation drug dose data acquisition self-adaptive dose control system. The system comprises a physiological parameter real-time acquisition module, a transfer environment data capture module, a multi-scale pharmacokinetic modeling module, a group Bayesian optimization calculation module, an anti-radiation drug dose adjustment module and a system parameter dynamic updating module. All the modules work cooperatively, the wounded physiological data and the transfer environment data are collected and input into the multi-scale pharmacokinetic modeling module to construct a cross-scale drug metabolism model, the group Bayesian optimization calculation module combines group data optimization calculation, and the anti-radiation drug dosage adjusting module adjusts the dosage according to the optimization calculation. And the system parameter dynamic updating module continuously corrects the parameters. According to the system, cross-scale analysis, group and individual data fusion and dynamic adaptation are achieved, it is ensured that the medicine dosage is accurate and appropriate in the transfer process, and a guarantee is provided for wounded treatment.

The invention relates to the technical field of formula optimization, and discloses a Qi king liquid formula optimization method and system based on big data analysis, and the method comprises the steps: obtaining basic attribute data and compatibility relation data of traditional Chinese medicinal materials; constructing a medicine taste associated map, extracting a map embedding vector, splicing the vector with the medicine dosage information, and generating a state expression of the current formula; calculating a main efficiency reward item; when the medicinal material combination in the formula triggers the compatibility rule, calculating a compatibility constraint penalty term; calculating a reward signal; identifying monarch, minister, assistant and guide roles of the medicinal materials, generating role masks, limiting dosage adjustment ranges of the medicinal materials of different roles, and updating a task specific strategy according to an award signal; updating meta parameters of the meta learner based on the reward signals of the plurality of tasks; and repeating internal and external circulation until the convergence condition is met, and outputting the Qi liquid formula with the highest accumulated reward. According to the method, a comprehensive evaluation function capable of simultaneously evaluating the curative effect and accurately representing various incompatibility risks is constructed, so that the optimization result of the Qi king liquid formula is better.

The invention discloses a tailings pond water treatment dosage prediction method based on historical output reverse modeling, comprising: acquiring a historical data set, the historical data set comprising water outlet end water quality index data and an actual dosage, the water outlet end water quality index data comprising a plurality of water quality indexes, the plurality of water quality indexes at least comprising a wastewater flow, a water outlet end water quality forward prediction model based on the GRU neural network is constructed, the water outlet end water quality forward prediction model obtains a water outlet end water quality prediction value based on the historical data set as input, and a calculation function of the dosage adjustment amount is constructed based on the difference value between the water outlet end water quality prediction value and preset target water outlet end water quality index data; and taking the dosage adjustment amount meeting specific conditions in the calculation function as the final dosage adjustment amount, and determining that the dosage at the next sampling moment is the last dosage plus the final dosage adjustment amount. According to the invention, real-time or quasi-real-time dosage prediction is realized.

Most therapeutic treatments require dose adjustment after initial administration. Dosage adjustment is crucial to ensuring optimal safety and efficacy characteristics of the treatment. Gene therapy is inherently limited by the inability to adjust the dose after initial administration. This invention describes a genetic element capable of dose adjustment after the initial administration of gene therapy. The realization of dose adjustment allows for the replacement of multiple subcutaneous protein injection regimens with single-injection gene therapy, thereby improving pharmacokinetics, safety / efficacy characteristics, medication adherence, and reducing healthcare costs.

The invention discloses a feed additive precise mixing system capable of monitoring environment stress in real time. The feed additive precise mixing system comprises a screw conveyor, a pressure supply unit, a spraying unit, an additive supply unit, an additive storage unit, an environment monitoring unit and a control unit, a discharge port of the spiral conveyor is arranged downwards, and the spraying unit is arranged on a shell of the spiral conveyor above the discharge port, is connected with the additive supply unit and is used for spraying an additive to feed; the additive supply unit comprises at least one temporary storage box, the bottom of the temporary storage box is conical, and a discharge port is formed in the bottom of the temporary storage box; the feed additive mixing device is unique in structure and ingenious in design, and can effectively solve the problems that existing feed additives are not uniformly mixed, and the proportion cannot be dynamically adjusted according to real-time environmental parameters due to additive amount adjustment lag.

This invention relates to the field of medical data and discloses a method for real-time monitoring of the efficacy of traditional Chinese medicine, Mongolian medicine, and Western medicine based on biosensor technology. This method enables real-time monitoring of drug efficacy and personalized medication guidance. The process includes collecting real-time multimodal biosignals from the user's body surface or minimally invasive body fluid samples to obtain raw sensor signals and acquire sensor array output; extracting real-time pharmacokinetic characteristic signals based on a preset pharmacokinetic model and mapping them to efficacy assessment parameters according to drug type; comparing the efficacy assessment parameters with a preset safe and effective concentration range to generate real-time medication status indicators and dosage adjustment prompts. This invention designs quantitative assessment methods for different types of drugs, enabling real-time comparison to generate efficacy status codes and dosage adjustment suggestions. It comprehensively generates a medication guidance report and transmits it in real-time to the user or clinical monitoring end, allowing for immediate adjustment of the medication regimen and ensuring safe and effective medication.

This invention relates to the field of seedling equipment technology and discloses a precise quantitative fertilization device for seedling roots. The device includes a liquid storage tube with an inlet pipe connected to its top. A fertilizer dosage adjustment component is located on one side of the storage tube, and a dispensing component is connected to the fertilizer dosage adjustment component on the same side. A draining component is located at the bottom of the storage tube and includes a connecting pipe. The connecting pipe is movably fitted to the bottom of the storage tube, and a draining pipe is installed on one side of the connecting pipe. When the bottom of the connecting pipe contacts the ground, the outlet and the draining pipe are connected, facilitating the application of liquid fertilizer from the storage tube to the seedling roots through the outlet and draining pipe. This achieves precise quantitative fertilization of the seedling roots, effectively avoiding the problems of seedling burn or nutrient deficiency caused by excessive or insufficient fertilization in traditional methods, and significantly improving fertilizer utilization and crop safety.

The application provides a method and system for predicting the amount of reagent based on multi-modal flotation froth digital characterization, relating to the technical field of froth flotation. The method comprises: collecting multi-modal data of the froth state in the metal ore flotation process, including RGB images, video sequences and three-dimensional point clouds; constructing three froth feature extraction networks to extract the RGB features, video dynamic features and three-dimensional point cloud features of the multi-modal data respectively; fusing the extracted RGB features, video dynamic features and three-dimensional point cloud features based on a cross-modal attention mechanism to generate multi-modal features; constructing an expert knowledge base, which includes structured rules and historical cases; constructing a reagent dosage decision model based on the expert knowledge base and a large language model, converting the multi-modal features into standardized vector representations, retrieving the expert knowledge base using similarity matching, and generating a reagent dosage adjustment strategy. The application can realize accurate prediction from froth multi-modal features to reagent dosage adjustment.

The invention discloses a cardiovascular drug dose regulation and control system based on reinforcement learning, and relates to the technical field of medical artificial intelligence, and the system comprises a data acquisition module which collects physiological data, metabolic parameters, a drug interaction matrix and a current drug combination of a patient in real time; the adjustment factor calculation module calculates a drug metabolism rate adjustment factor through a pharmacokinetic model; the interaction modulation module adjusts the interaction intensity according to the adjustment factor; the risk score calculation module calculates the adverse reaction risk of the patient based on the adjusted interaction matrix, the drug combination and the physiological data; the first processing module judges whether the risk score exceeds the standard or not, and if yes, the risk is reduced through medicine replacement or dosage reduction; if the risk score is lower than a second threshold value, the second processing module maintains the current dose, otherwise, a dose adjustment strategy is optimized based on reinforcement learning; according to the method, the medicine dosage adjustment can be more fit with the actual metabolic characteristics of the patient, and the accuracy and individualization degree of treatment are improved.

A high-precision continuous dosing syringe includes a handle, a housing, a dosing chamber connected to one end of the housing, and an injection outlet at the other end of the dosing chamber. A piston rod is provided, and an adjusting sleeve is provided on the piston rod. One end of the piston rod passes through the housing and extends into the dosing chamber, while the other end is connected to the handle. A locking assembly is provided on the outer circumference of the adjusting sleeve and the inner wall of the housing. When the piston rod returns to its original position, the locking assembly fixes the adjusting sleeve. This invention, through the design of the locking assembly and the toothed ring, ensures that the adjusting sleeve is always fixed in its original position during the reciprocating motion of the piston rod, preventing the accumulation of errors that could lead to dosage adjustment failure. Furthermore, the tooth pitch of the toothed ring matches the circumferential adjustment scale of the adjusting sleeve, allowing for timely calibration and improving the accuracy of the injected medication.

This invention relates to the field of biomedical testing and clinical medication management technology, specifically to an antiepileptic patient medication assessment and management system based on chromatography-mass spectrometry (CMS) data. The system includes: a data acquisition module for collecting multidimensional time-series data generated by CMS in patient biosamples, and obtaining prescription dosage, administration timestamps, weight, and genotyping data; a benchmark reconstruction module for constructing an ideal pharmacokinetic benchmark based on a compartmental model and the Michaelis-Menten kinetic rules; a parameter injection module for generating a theoretically abnormal simulation state; a differential extraction module for generating a real residual vector and a theoretical residual matrix; a coupling decision module for outputting the state assessment results; and a management feedback module for generating medication reminders, dosage adjustment suggestions, medication change prompts, resampling, or manual review instructions, achieving a closed-loop connection from testing data to clinical decision-making.

The invention discloses a quantitative injection instrument which comprises a cylinder body assembly, a dosage adjusting assembly, a pressing assembly, a transmission clutch assembly and a pushing assembly. The barrel body assembly comprises a pen body; the dosage adjusting assembly is mounted on the pen body and is suitable for rotating and moving relative to the pen body to adjust the injection dosage; a first clutch mechanism suitable for being connected to link the pressing assembly and the dose adjusting assembly and separated to disconnect linkage is arranged between the pressing assembly and the dose adjusting assembly. The transmission clutch assembly comprises a transmission connecting rod and a clutch piece which are connected, the clutch piece is fixedly connected with the dose adjusting assembly, and the upper end of the transmission connecting rod abuts against the pressing assembly. A second clutch mechanism is arranged between the transmission connecting rod and the clutch piece, the second clutch mechanism is suitable for being connected to link the rotating action of the dose adjusting assembly and the transmission connecting rod and being separated to disconnect the linkage of the rotating action, and an elastic acting mechanism is further arranged between the transmission connecting rod and the clutch piece. According to the invention, the arrangement of parts is reduced, the structure is simplified, and dosage adjustment and quantitative pushing can be facilitated.

The invention discloses an artificial intelligence-driven personalized drug dosage dynamic adjustment method and system. The method comprises the following steps: acquiring multi-source heterogeneous data of a patient, preprocessing and constructing to obtain graph structure data; performing feature extraction on the graph structure data by using a trained graph convolutional network to obtain high-order features of the patient, and predicting treatment conditions of the patient under different dose combinations; based on the high-order features, searching an optimal dose combination in a medication dose solution space by using an improved genetic algorithm, and generating a medication dose adjustment scheme; generating a risk assessment report based on the drug dosage adjustment scheme in combination with the multi-source heterogeneous data, and prompting the potential risk of dosage adjustment; and continuously collecting subsequent treatment feedback data of the patient and using the subsequent treatment feedback data to optimize the parameters of the graph convolutional network and the weight of the fitness function in the improved genetic algorithm. According to the method, the precision and dynamic adjustment of the medication dosage are realized.

This invention belongs to the field of industrial water treatment technology, specifically relating to a dosing system and control system for zero discharge of polysilicon wastewater. The system comprises a dosing control system and multiple chemical treatment units. Each chemical treatment unit includes a dosing unit, an inlet monitoring unit, and an outlet detection unit. The inlet monitoring unit monitors the influent's parameters, and the outlet detection unit detects the effluent's parameters. Based on the deviation between the set target effluent quality value and the detected target effluent quality parameters, a mathematical model for chemical dosing is used to calculate the chemical dosage. The dosing control system adjusts the chemical dosage in the dosing unit accordingly. This invention establishes a functional relationship between the influent and effluent water quality parameters and the chemical dosage, overcoming the lag in dosage adjustment caused by the reliance on effluent water quality in conventional chemical self-controlled dosing models. This ensures good accuracy in chemical dosing during both initial and long-term operation.

The application discloses a lung-targeted nanocomposite and a preparation method and application thereof, wherein the nanocomposite comprises carbon nitride two-dimensional nanosheets and AIE photosensitizers loaded on surfaces of the carbon nitride two-dimensional nanosheets. The nanocomposite has excellent aggregation-induced emission properties and active oxygen generation capacity, can play a diagnostic role of the photosensitizer, and can produce a better tumor elimination effect, so that the diagnosis and treatment of lung cancer can be simultaneously realized. In addition, the nanocomposite has a suitable size, can enhance the retention of drugs in the lung, prolong the treatment time, and reduce the administration frequency; the nanocomposite can also be administered through tracheal spray, has the advantages of rapid onset, high local drug concentration, small drug dosage, convenient use, less systemic adverse reactions, easy monitoring and adjustment of the dosage, and the like.

This utility model discloses an adjustable dosage microbial agent spraying device, including a container, an injection port, a shoulder strap, a spray pipe, and a dosage adjustment structure. When a quantitative amount of microbial agent needs to be injected, the threaded pipe is rotated, pushing the adjustment plate so that it slides along the inner wall of the channel, thereby adjusting the plate. The position of the adjustment plate can be set via a scale, and the capacity is set to inject the microbial agent into the channel. Then, the agent is injected into the tank through a valve head, positioned between the adjustment plate and the tank, thus quantitatively injecting the microbial agent. Next, the tank is rotated, causing it to rotate through the connecting pipe. After rotation, the tank is tilted at a certain angle. Then, the valve is opened, and the quantitative amount of microbial agent enters the container through the connecting pipe and the injection port, achieving the beneficial effect of adjustable dosage microbial agent injection into the container.

For paroxysmal or persistent AFib patients, if its untreated AFib level exceeds a threshold level of AFib, treatment is eligible with a drug (e.g., Bronidalon) capable of controlling the patient's heart rhythm. A qualified patient is subjected to drug treatment while monitoring its heart rate using a wearable device. If it is considered that the administered dose of medicament is invalid, adjusting the dose until an effective dose is determined for the patient; if the patient is confirmed to be non-reactive to the drug, the treatment is withdrawn.

This invention relates to a reagent management method, system, and apparatus for immunohistochemistry. The method includes the following steps: parsing a set of barcode information obtained by scanning multiple reagent bottles placed on multiple reagent positions in a reagent basket to obtain reagent information for each reagent bottle; associating and binding the reagent information with the current reagent position to establish a position mapping relationship; receiving a dosage adjustment instruction for a specified immunohistochemistry step, obtaining the adjusted dosage parameters, and storing them in a database along with the corresponding reagent identification information; obtaining a list of target reagent types and target reagent dosages required for the current experimental procedure; determining whether the reagents already used meet the experimental requirements based on the position mapping relationship, reagent data information, and the current remaining quantity of each reagent; if not, outputting a warning message; if yes, calculating the estimated reagent quantity for this experiment and updating the remaining quantity information of the corresponding reagents in the database in real time during the experiment.

The invention relates to the technical field of biology and information, and discloses an anti-infection clinical decision support system, which comprises the following modules: a various antibacterial drug characteristic module (1); an antibacterial drug pharmacokinetic module (2); a renal insufficiency dose adjustment module (3), wherein the renal insufficiency dose adjustment module (3) comprises a renal insufficiency dose adjustment-free drug module (31) and a creatinine clearance rate calculation module (32); a liver insufficiency dose adjustment module (4), wherein the liver insufficiency dose adjustment module (4) comprises a liver function impairment Child-Pugh grading module (41) and a liver insufficiency dose adjustment-free drug module (42); a national bacterial drug resistance statistics module (5); and a drug antibacterial spectrum query module (6). According to the anti-infection clinical decision support system, through cooperative operation of the six modules, all-around support is provided for clinical anti-infection diagnosis and treatment.

This invention discloses an adaptive dosing control system for anti-radiation drug dosage data acquisition, comprising a real-time physiological parameter acquisition module, a transport environment data capture module, a multi-scale pharmacokinetics modeling module, a population Bayesian optimization calculation module, an anti-radiation drug dosage adjustment module, and a system parameter dynamic update module. These modules work collaboratively: the former collects physiological data from the injured person and transport environment data, inputting this data into the multi-scale pharmacokinetics modeling module to construct a cross-scale drug metabolism model; the population Bayesian optimization calculation module performs optimization calculations based on population data; the anti-radiation drug dosage adjustment module adjusts the dosage accordingly; and the system parameter dynamic update module continuously corrects the parameters. This system achieves cross-scale analysis, fusion of population and individual data, and dynamic adaptation, ensuring accurate and appropriate drug dosage during transport and providing a guarantee for the treatment of the injured.

The utility model relates to the technical field of needleless injectors, in particular to a micropore needleless injector, which comprises an injection part, a pipeline part and a nozzle part, the inner diameter of the nozzle part is gradually converged to an injection port along the liquid injection direction, and the diameter of the injection port is 0.13-0.25 mm; and the driving component provides power to perform pressurized injection on the liquid in the whole injection process, and comprises a pneumatic part connected with the outside and used for power, a trigger part used for controlling the pneumatic part, and an adjusting part used for accurately controlling the injection dosage each time. According to the design, the operation process is simplified, a user only needs to simply rotate the driving cap to complete dosage adjustment, complex tools or steps are not needed, and the risk of misoperation is reduced. The optimal design of an internal pneumatic system ensures that medicine can be quickly and stably injected into target tissue, high-pressure gas effectively pushes a piston body to achieve high-speed injection through reasonable gas path layout and the action of a pneumatic balance part, and meanwhile the continuous operation capacity is improved through the automatic liquid supplementing function.

The invention discloses a traditional Chinese medicine and western medicine combined medication safety intelligent evaluation system and method, and belongs to the technical field of medicine safety evaluation. The system comprises a traditional Chinese medicine component analysis module, a hypergraph convolution prediction module, a medicine effect collaborative evaluation module and an individualized decision module; a quaternary hypergraph network of traditional Chinese medicine components-western medicine-metabolic enzyme-target spots is constructed, and a hypergraph convolutional neural network and a graph attention mechanism are adopted to predict pharmacokinetic interaction; evaluating pharmacodynamic interaction by constructing a target-pathway double-layer network, and establishing a closed-loop feedback collaboration mechanism of pharmacokinetics and pharmacodynamics; cYP450 enzyme system gene polymorphism and transporter gene variation information of a patient are integrated, individualized medication decision and dosage adjustment are achieved, the problems that in the prior art, multi-component multi-target interaction prediction is not accurate, pharmacokinetics-pharmacodynamics collaborative analysis is lacked, and the individualized guiding ability is insufficient are solved, and the application prospect is wide. And the safety and effectiveness of combination of Chinese and western medicines are remarkably improved.

Patients with paroxysmal or persistent atrial fibrillation whose untreated atrial fibrillation exceeds the threshold level are eligible for treatment with a drug that can control the patient's heart rhythm (e.g., budiodarone). Eligible patients are treated with the drug while their heart rate is monitored using a wearable device, and if a given drug dose is deemed ineffective, the dose is adjusted until an effective dose is determined for the patient or the patient is deemed unresponsive to the drug and is discontinued from treatment.

The invention relates to the technical field of coking desulfurization control, in particular to a coking desulfurization PDS catalyst additive amount adjusting method which comprises the steps that at a preset time node, target control parameters, real-time working condition parameters and catalyst state parameters of a desulfurization system are obtained; on the basis of the target control parameters, the real-time working condition parameters and the catalyst state parameters, the to-be-supplemented amount of the catalyst at the current time node is obtained through calculation of a desulfurization reaction model; judging whether dosage adjustment is needed or not based on the to-be-supplemented amount of the catalyst, and obtaining real-time operation parameters of the catalyst adding equipment in response to dosage adjustment; and based on the to-be-supplemented amount of the catalyst and the real-time operation parameters, generating a dosage adjustment strategy aiming at a subsequent set time window and executing the dosage adjustment strategy. According to the invention, the hysteresis problem that traditional catalyst addition amount adjustment depends on artificial experience and off-line test can be solved, accurate adaptation of the addition amount and the real-time working condition of the desulfurization system is realized, stable desulfurization efficiency is guaranteed, and agent waste is reduced.

The invention discloses a taste masking composition and a preparation method thereof. The composition comprises active pharmaceutical ingredients and pregelatinized starch, wherein the pregelatinized starch is used as a taste masking agent. The invention further provides a specific suspension drying process. According to the invention, the peculiar smell of indissolvable bitter drugs such as letemovir is obviously covered, the release rate of the drugs is not influenced, and the dissolution behavior is consistent with that of the original developed agent. The composition disclosed by the invention is excellent in quality and good in taste, is easy to take by children, old people and other patients with dysphagia, and is convenient for personalized dosage adjustment, so that the compliance of the patients and the accuracy of the dosage are improved; the preparation process is simple, feasible, good in reproducibility and suitable for industrial production.

The invention relates to the technical field of sewage treatment, in particular to an intelligent dosing control system and method.The system comprises a regulating tank, a coagulation tank, a flocculation tank, a sedimentation tank, a dosing device and a control module, a first conductivity meter is arranged in the regulating tank, a second conductivity meter is arranged in the flocculation tank, a suspended matter detector is arranged in the sedimentation tank, and the dosing device is connected with the control module. The chemical adding device sends chemicals into the coagulating basin, and the control module dynamically generates a chemical adding amount adjusting instruction through a reinforcement learning algorithm according to real-time detection data and historical effective operation data of the first conductivity meter, the second conductivity meter and the suspended matter detector and sends the chemical adding amount adjusting instruction to the chemical adding device. According to the method, the real-time advantage of the conductivity is utilized, the front and rear end water quality change characteristics and the effluent suspended matter state are fused, dynamic optimization of the agent adding amount is achieved through reinforcement learning, on the premise that it is guaranteed that the effluent quality reaches the standard, the agent consumption and manual intervention are reduced, and the intelligent and economic operation level of a sewage treatment system is improved.

The invention provides an oral drug delivery device and a drug delivery method, belongs to the technical field of medical instruments, and aims to solve the problems that precise and controllable release is difficult to realize and the amount cannot be dynamically adjusted in the conventional oral drug delivery. The device comprises a medicine storage bin, a power assembly for applying pressure to medicine fluid, an electric control valve, a controller for driving the valve to control the administration dosage, and a power supply assembly. The method comprises the steps that in the digestive tract, pressure is applied to the medicine storage bin through the power assembly, and the electric control valve is electrically driven through the controller to control the release dosage of medicine fluid. According to the application, medicine can be released regularly and quantitatively, and an in-vitro instruction can be received through wireless communication to dynamically adjust the dosage, so that the stability of the blood concentration is maintained, and the flexibility and the safety of treatment are improved.

The invention discloses a medicine information processing method and system for a thoracic surgery patient, and relates to the technical field of medical information processing, and the method comprises the steps: collecting prescription medicine information and real-time physiological monitoring data of the patient; the method comprises the following steps: carrying out structured modeling on prescription drugs, and extracting metabolic enzyme categories, pharmacological targets and pharmacokinetic characteristics; sequentially analyzing the comprehensive similarity degree of adjacent drugs in the prescription to identify potential interaction risks; establishing a dynamic risk correction model by combining indexes such as heart rate, blood pressure and oxyhemoglobin saturation of the patient; in the drug risk recursion process, the risk threshold value is adjusted in real time according to the patient state, and the overall risk level of the prescription is output; individualized dose suggestions and blood concentration prediction results are generated according to parameters such as body surface area and liver and kidney functions, the system is composed of a data acquisition module, a drug modeling module, a similarity analysis module, a risk assessment module, a dose adjustment module and a visualization module, and the system is automatically operated when a doctor makes a prescription, prompts drug risks in real time and provides medication optimization suggestions.

The utility model provides a pesticide spraying device for grape planting, belongs to the technical field of grape planting, and solves the problems that when a pesticide spraying device is used, a worker needs to frequently add pesticide into a water tank, the pesticide is frequently added to cause inaccurate dosage control, especially the situation of excessive or insufficient pesticide is easy to occur under the busy condition, and the pesticide spraying device is inconvenient to use. The pesticide application effect and the crop health are influenced. The device comprises a base, a supporting frame is fixedly connected to the top of the base, two flow guide pipes are symmetrically and fixedly connected to the top of the supporting frame, two nozzles are fixedly connected to the surfaces of the two flow guide pipes, four storage cylinders are fixedly connected to the top of a water tank, and piston discs are fixedly connected to the tops of four piston columns. The piston disc and the first piston pad are slidably connected into the storage cylinder, and moving mechanisms used for moving the first piston pad are arranged at the tops of the four piston columns. According to the utility model, through the arrangement of the piston pad, the pesticide dosage can be added according to the corresponding water quantity.