19 results about "Drug consumption" patented technology

The invention relates to the technical field of water treatment, in particular to a water plant process modularization deconstruction integration system, which comprises a physical module layer, a water treatment layer and a control layer, the edge intelligent control layer is connected with the physical module layer and is used for real-time data acquisition and bottom layer control; the digital twin platform layer communicates with the edge intelligent control layer and is used for constructing a high-fidelity virtual model for the physical module layer and realizing virtual-real interaction; the cloud platform AI center communicates with the digital twin platform layer and is used for operating an artificial intelligence optimization algorithm; and through self-adaptive optimization of the DRL intelligent agent, accurate control of key process parameters (such as dosage and aeration rate) can be realized, and it is predicted that the drug consumption can be reduced by 10%-25% and the aeration energy consumption can be reduced by 15%-30%.

The invention discloses a fluorine-containing wastewater advanced treatment system and a fluorine-containing wastewater advanced treatment method based on cooperation of chemical precipitation and a membrane method. Comprising a sedimentation tank, a dynamic filter and a double-membrane system which are arranged in sequence, wherein in the sedimentation tank, a modified calcium salt precipitator and CaF2 seed crystals are added into the fluorine-containing wastewater for reflux, and large calcium fluoride particle precipitates are formed through an induced crystallization adsorption-sedimentation mechanism; the dynamic filter is used for intercepting sediments from effluent of the sedimentation tank through a gradient aperture structure to realize solid-liquid separation and preliminary fluorine removal; and the double-membrane system is used for removing residual fluorine-containing particles, colloids and ions in the wastewater treated by the dynamic filter by utilizing an ultrafiltration membrane and a reverse osmosis membrane. Through cooperation of a modified calcium salt adsorption-precipitation mechanism and a membrane gradient interception method, efficient trapping and solid-liquid separation of fluorine ions are achieved, the fluorine removal precipitation reaction is enhanced, the medicine consumption is reduced, and near-zero external water consumption is achieved.

The invention discloses an energy-saving and consumption-reducing method for a sewage treatment plant based on four-level diagnosis and three-level optimization, and aims to solve the problems of high energy consumption and high medicine consumption in the existing sewage treatment technology. According to the method, data such as water quality, water quantity and energy consumption in 3-5 years are collected through a five-level technology cooperation system of historical data quantitative diagnosis, equipment energy efficiency evaluation and updating, facility function detection and transformation, technological parameter simulation regulation and control and intelligent closed-loop control, and key indexes are checked to locate anomalies; evaluating and updating energy consumption equipment, and detecting and transforming a structure, a pipeline and an aeration system; technological parameters are optimized in combination with material / energy balance, simulation analysis and small-scale tests; a four-stage intelligent control system is built to realize closed-loop regulation and control; after application, the energy consumption and the chemical consumption are obviously reduced, and the sewage treatment cost is effectively reduced; meanwhile, it is guaranteed that the effluent quality stably reaches the standard, extra treatment cost and environmental protection risks caused by the fact that the water quality does not reach the standard are avoided, the operation economical efficiency and environmental protection benefits of a sewage treatment plant are comprehensively improved, and sustainable development of the industry is promoted.

The application belongs to the technical field of medicine inventory management, and particularly relates to a pharmacy medicine consumption prediction and replenishment system and method combined with prescription flow. The system comprises a collection and prediction module, a first replenishment module, a storage location optimization module, an updating module, a prediction correction module and a second replenishment module. Prescription flow is collected in real time and combined with historical consumption records, and time series analysis is used to predict medicine consumption trends. When the predicted value exceeds the storage location capacity threshold, the replenishment amount is adjusted through linear programming optimization. Then, the storage location information is integrated, and a dynamic simulation algorithm is used to verify and optimize the storage location allocation scheme. Real-time medicine shortage risk indicators are then combined, the replenishment priority is updated, and time series refined prediction and linear programming iteration are performed again until the final inventory recovery level is determined. The application effectively reduces the medicine shortage rate, improves storage location utilization efficiency and reduces operational confusion, significantly improving the accuracy and stability of pharmacy inventory management.

The utility model discloses domestic sewage pretreatment equipment integrating an efficient crushing and separating technology, which belongs to the field of domestic sewage treatment, and comprises a shell and a flow guide box, a separation disc is arranged in the shell and divides the shell into an upper part and a lower part, and the top wall of the separation disc is rotatably connected with a cutter head driven by a driving mechanism to rotate. When the first through groove is communicated with the second through groove, the upper portion of the shell is communicated with the lower portion of the shell, a sewage inlet is formed in the upper portion of the shell, the lower portion of the shell is connected with a flow guide box through a communicating pipe, and a flow guide assembly is arranged in the flow guide box. And a first outflow pipe through which crushed residues flow out and a second outflow pipe through which sewage flows out are arranged on the flow guide box. According to the pretreatment process based on the efficient crushing and separating technology, the energy consumption and the medicine consumption of the subsequent sewage treatment link are effectively reduced, and the negative influence on the environment is reduced.

The utility model discloses an underground mud-water separation tank capable of improving a mud-water separation effect. The underground mud-water separation tank comprises a tank body and a clear water recovery tank arranged on one side of the tank body, a drainage channel is arranged at one end of the pond body; a plug flow stirrer and a sludge pump are arranged in the tank body, and the sludge pump is close to one side of the drainage channel; a plurality of drain valves are arranged between the clear water recycling pool and the pool body; the underground mud-water separation tank is small in occupied area, all the drainage pumps, the stirrer and the drainage valve can be remotely and automatically controlled in the operation process, meanwhile, part of drained water of the sludge dewatering machine can be directly utilized for flocculation, the medicine consumption is reduced, in addition, a large number of auxiliary equipment is not needed, and the cost is reduced. The sludge-water separation effect can be achieved by utilizing part of drained water of the sludge dewatering machine, an additional dosing device is not needed, and clear water can be drained and recycled by valves at different positions on the partition wall according to the actual sludge height.

A flow self-adaptive rapid purification device based on medium layer filtration comprises a dosing system, a mixing system and a medium layer filtration system, the dosing system is connected with the mixing system, the mixing system is connected with the medium layer filtration system, the dosing system comprises a dosing barrel, a dosing stirrer and a variable-frequency dosing pump, and the variable-frequency dosing pump is connected with the mixing system. The mixing system comprises a mixing tank, a variable-frequency mixing motor and a bracket, and the medium filtering system comprises a filtering column body, a tangential water inlet, a flow self-adaptive structure, a stirring device, an annular filtering layer, an effluent weir, a water outlet, a sludge discharge port and a main emptying port. The device realizes rapid purification of overflow sewage and polluted water by monitoring suspended substances in inlet and outlet water in real time, dynamically adjusting process control parameters such as dosage and the like and changing a water distribution mode by self-adaption to flow, and has the characteristics of high purification speed, low drug consumption, small amount of residual drug in outlet water, high suspended matter removal efficiency, simplicity in operation and maintenance and the like.

The application provides a water supply network chlorination method and device, which is applied to a water supply network intelligent chlorination system based on digital twinning and microbial risk early warning, and relates to the technical field of drinking water treatment. By establishing a digital twinning model and real-time microbial activity monitoring, the defects of traditional chlorination technology, such as lag, extensive and neglect of biological safety, are overcome. Based on real-time data driving the digital twinning model, advanced rolling prediction of the residual chlorine concentration at the end of the pipe network is realized, so that the control is changed from passive response to active intervention. The optimal chlorination amount is reversely solved by taking the continuous compliance of the predicted residual chlorine at all end points as a constraint, so that precise addition is realized and global excess is avoided. According to the microbial activity data, the control target is dynamically switched, and a double safety barrier of chemistry and biology is established. Periodic closed-loop execution ensures that the system is self-adaptive to the working condition change. While significantly improving the reliability of end water quality, the drug consumption and disinfection by-product risk are reduced, and the unity of safety and economy is realized.

The invention relates to the technical field of data processing, in particular to a control method and device for a sedimentation tank of a water supply plant, electronic equipment and a storage medium. The raw water quality parameters are input into the prediction module, and the predicted coagulant dosage is output. According to the embodiment of the invention, through multi-parameter acquisition, accurate prediction and dynamic adjustment of coagulant addition can be realized through an algorithm, and the drug consumption and the operation cost are effectively reduced; on the basis of double-threshold triggering of the sludge position and the dry sludge amount and feedback adjustment of the sludge discharging concentration, on-demand, efficient and accurate sludge discharging is achieved, and the water outlet stability is remarkably improved; and the effluent turbidity is fed back to the dosing unit, so that a'coagulation-precipitation 'collaborative closed-loop optimization mechanism is constructed, the defects of process disjunction, response lag and extensive operation in traditional control are overcome from the system level, and the water treatment efficiency and economical efficiency are comprehensively improved.

The invention relates to the technical field of coal chemical industry wastewater treatment, discloses a multi-parameter cooperative control dosing method and system for a coal gasification settling tank, and solves the problems that existing manual or single-parameter dosing is low in precision, high in drug consumption, slow in response and difficult in effluent reaching the standard. The method comprises the following steps: monitoring turbidity, hardness, pH and temperature at a water inlet and a water outlet of a settling tank on line, calculating the dosage in a grading manner according to a sequence of hardness control priority, pH regulation second order and turbidity control last order, dynamically correcting the dosage in combination with a PID (Proportion Integration Differentiation) algorithm, and re-executing grading dosage if the effluent does not reach the standard. The method can improve the control precision, reduce the drug consumption, accelerate the response speed, and meet the green development requirements of the coal chemical industry.

The invention discloses a high-risk waste disposal method, and belongs to the technical field of hazardous waste treatment. Aiming at mercury-containing hazardous wastes containing interference metal ions (such as Zn < 2 + >, Cu < 2 + > and Ni < 2 + >), the method comprises the following steps: dissolving the wastes to form waste liquid; adding an alkaline regulator to regulate the pH value to 8-9, so that the interfering ions are precipitated and separated out, and are separated and removed in advance; maintaining the pH value to be 8-10, adding sodium sulfide at a controlled ratio and rate to carry out mercury removal reaction, and preferably carrying out secondary solid-liquid separation by matching with a coagulant and a flocculating agent; the filtrate is recycled after evaporation reduction, and the filter residues are cured and then safely buried. According to the method disclosed by the invention, through a two-stage pH regulation and intermediate separation strategy, the impurities such as sulfur grabbing and mercuric sulfide colloidization are effectively inhibited, deep mercury removal and low suspended matter emission under low drug consumption are realized, and the final product is stable and safe.

The invention discloses an intelligent coagulation dosing system based on ultrasonic feedback and a prediction method and device, and belongs to the technical field of water treatment. Echo signals of alumen ustum in the coagulation process are collected in real time through an underwater ultrasonic sensor array, online water quality monitoring data are combined, and multi-dimensional characteristic parameters such as echo amplitude attenuation and frequency spectrum gravity center are extracted through self-adaptive wavelet filtering. On the basis, a deep learning prediction model fusing Bi-LSTM and genetic algorithm optimization XGBoost is constructed, accurate pre-judgment of the coagulation effect is achieved, and the dosage is dynamically adjusted through self-adaptive PID control. According to the invention, a feed-forward-feedback composite control logic is adopted, the problems of strong hysteresis quality, dependence on artificial experience and the like of a traditional method are effectively overcome, the method has the advantages of non-contact, fast response, strong anti-interference capability and the like, the dosing precision can be obviously improved, the chemical consumption and the sludge yield can be reduced, the stable effluent quality can be ensured, and the method is suitable for sewage treatment scenes of various scales.

The invention relates to the technical field of thermal power plant water treatment and automatic control, and discloses a thermal power plant lime softening system multi-agent intelligent collaborative dosing method and system.The method comprises the steps that firstly, a digital twin simulation environment coupling lime softening and coagulating sedimentation mechanisms is constructed, and a virtual interaction platform is formed; and on the basis, three independent agents are trained by using a multi-agent depth deterministic strategy gradient algorithm, the addition of lime, polyferric chloride and polyacrylamide is controlled respectively, and the learning of a collaborative strategy meeting the standard water quality and the optimal cost is guided through a maximized collaborative reward function. During online application, the dosing instruction set generated by the agent must be verified by the security constraint module embedded with the pH security boundary and the agent proportion rule, and only the verified instruction is issued to the execution unit. The method effectively solves the problem of nonlinear strong coupling of multi-agent addition, ensures that the hardness, alkalinity and turbidity of effluent stably reach the standard, and reduces the comprehensive agent consumption and operation risk.

This invention provides a method, system, and medium for drug dispatching in response to public health emergencies. The method includes: acquiring characteristic data of the target event, population health data of the affected area, and real-time drug consumption data; generating an initial drug demand forecast based on the characteristic data and population health data using a first prediction model; constructing a dynamic supply-demand matching matrix based on the initial drug demand forecast and real-time inventory data from multiple reserve terminals, whereby the dynamic supply-demand matching matrix characterizes the comprehensive dispatch cost of dispatching drugs from different reserve terminals to different medical terminals; inputting the dynamic supply-demand matching matrix into a deep reinforcement learning model to generate a dynamic dispatching strategy; and issuing dispatching instructions to reserve terminals according to the dynamic dispatching strategy. This invention solves the technical problems of delayed response, supply-demand mismatch, and regional imbalance in existing technologies, significantly improving the accuracy, timeliness, and balance of emergency drug supply.

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 a water supply network chlorination method and device, is applied to a water supply network intelligent chlorination system based on digital twinborn and microbial risk early warning, and relates to the technical field of drinking water treatment. Through establishment of a digital twin model and real-time microbial activity monitoring, the defects that a traditional chlorination technology is lagged and extensive and neglects biological safety are overcome. A digital twinborn model is driven based on real-time data, advanced rolling prediction of the residual chlorine concentration at the end of the pipe network is achieved, and control is converted into active intervention from passive response; the optimal chlorine adding amount is reversely solved with the constraint that residual chlorine predicted at all end points continuously reaches the standard, precise adding is achieved, and global excess is avoided; a control target is dynamically switched according to microbial activity data, and a chemical and biological dual safety barrier is established; periodic closed-loop execution ensures that the system is adaptive to working condition changes; while the peripheral water quality guarantee reliability is remarkably improved, the drug consumption and the risk of disinfecting by-products are reduced, and the unification of safety and economy is realized.

The application relates to an advanced oxidation water treatment disinfection system and a method thereof, and belongs to the technical field of water treatment control. The system comprises a modular reaction unit array, a distributed sensing unit, an intelligent control unit and a collaborative execution unit. The modular reaction unit array comprises at least two parallelly arranged pipeline AOP reactors with the same structure. The intelligent control unit is used for generating initial process parameters through feedforward prediction, dynamically correcting and resource scheduling optimization in combination with feedback of mixed states and water outlet effects, finally generating and issuing control instructions to drive collaborative actions of each execution mechanism. The application realizes flexible adjustment of a wide range of processing capacity through modular array and intelligent scheduling, guarantees uniform mixing and eliminates disinfection dead angles through distributed monitoring and active disturbance, and dynamically optimizes key parameters through intelligent closed-loop control to ensure effects while significantly reducing drug consumption and energy consumption.

1. The name of the design product: graphical user interface for electronic device medical industry operation monitoring. 2. The use of the design product: for displaying information. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: the present design displays data on the hospital daily operation monitoring large screen, the emergency and outpatient monitoring large screen, the inpatient monitoring large screen, the surgery monitoring large screen, the medical technology monitoring large screen, and the drug consumption monitoring large screen. 6. The change state description of the graphical user interface: the front view opens the graphical user interface for medical industry operation monitoring; the front view clicks the emergency and outpatient monitoring button to enter the interface change state diagram 1, the emergency and outpatient monitoring graphical user interface; the interface change state diagram 1 clicks the inpatient monitoring button to enter the interface change state diagram 2, the inpatient monitoring graphical user interface; the interface change state diagram 2 clicks the surgery monitoring button to enter the interface change state diagram 3, the surgery monitoring graphical user interface; the interface change state diagram 3 clicks the medical technology monitoring button to enter the interface change state diagram 4, the medical technology monitoring graphical user interface; the interface change state diagram 4 clicks the drug and consumable button to enter the interface change state diagram 5, the drug and consumable graphical user interface.