38 results about "Drug consumption" patented technology

The invention discloses a hospital operation analysis and target management system based on big data, and relates to the technical field of hospital operation management, and the system employs an activity-based cost method ABC, introduces a non-linear sharing function and a multi-dimensional cost sharing model, enables the operation cost to be refined to a specific project of each department, and improves the operation efficiency. Equipment use, medicine consumption and working hours of medical staff are covered, cost allocation and updating are carried out through a dynamic adjustment mechanism and a system according to real-time resource use conditions, hospitals are helped to identify high-cost expenditure points, resource waste is reduced, transparency of operation cost and management efficiency are improved, an automatic feedback mechanism is introduced, and the system is convenient to use. According to the method, the predicted data and the actual data can be compared in real time, the operation abnormity can be identified, the adjustment suggestion is automatically triggered when the abnormity is found, the adjustment suggestion is pushed to the related management personnel for quick response, and compared with a manual examination method, the speed and the accuracy of management response are improved.

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 utility model discloses an automatic carbon source feeding system for a sewage treatment plant, which comprises a carbon source feeding device and a control device, and an input end group of the control device is connected with a water inlet flowmeter, a water inlet total nitrogen detector and a water outlet total nitrogen detector. The sensing end of the water inlet flow meter and the sensing end of the water inlet total nitrogen detector are both arranged in the sewage inlet header pipe, the sensing end of the water outlet total nitrogen detector is arranged in the sewage outlet header pipe, and the control end of the carbon source adding device is electrically connected with the control signal output end set of the control device. And the carbon source output end of the carbon source adding device is communicated with the anoxic tank. Whether the external carbon source needs to be added or not to enable the total nitrogen of the effluent to reach the standard is judged according to the water inlet amount and the total nitrogen content of sewage treatment, the carbon source is accurately added according to requirements, accurate adding of the carbon source agent is achieved, and the carbon source agent consumption needed for removing unit TN is reduced.

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 provides a medical supply chain data analysis early warning method and system, and belongs to the technical field of medical safety. The medical supply chain data analysis early warning method comprises the following steps: acquiring historical replenishment data and historical drug consumption data; according to the historical replenishment data and the historical drug consumption data, analyzing drug replenishment threshold data of each type of drugs, and according to the drug replenishment threshold data, determining early warning content data; calculating total medicine supplementing amount data according to the medicine supplementing threshold value data; determining a medicine loading scheme according to the total medicine supplementing amount data and preset medicine transport vehicle specification data, adjusting the medicine supplementing amount data in the early warning content data according to the medicine loading scheme, and updating the early warning content data; through the method of the scheme, timely early warning can be realized when the residual amount of the medicine is insufficient, and the flexibility and toughness of a medical supply chain can be improved.

The invention discloses an accurate value incentive accounting method for a DIP disease category subdivision value portrait under DRG, and belongs to the technical field of medical payment and hospital management, and the method comprises the following steps: 1) a data fusion model: integrating DRG grouped data, a DIP score, a clinical path execution rate, cost accounting and patient satisfaction data, and constructing economic, clinical and social three-dimensional value portraits; 2) dynamic grouping optimization: introducing a machine learning algorithm, and dynamically subdividing DIP disease species into subgroups according to complication severity, treatment mode difference and resource consumption dispersion; after disease category subdivision, the matching degree of the DIP score and the actual cost is improved by 20%-30%, the medical insurance payment refusal risk is reduced, payment accuracy improvement is achieved, through strategic disease category support, the CMI value is averagely improved by 0.15, the difficult case recovery rate is increased by 12%, medical quality optimization is achieved, and through linkage excitation of the balance contribution rate and the patient satisfaction degree, the medical quality is improved. The medicine consumption ratio is reduced by 5-8%, the hospitalization day is shortened by 1.2 days, and the operation efficiency is improved.

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 provides landfill leachate deodorization equipment, relates to the technical field of odor treatment, treats front-end high-concentration odor (hydrogen sulfide and the like), reduces the overall system load, and solves the problems of high drug consumption and high cost of the existing leachate deodorization equipment. The device comprises a first equipment cavity, an adsorption decomposition cavity, a chemical washing cavity, an adsorption demisting cavity and a second equipment cavity, a first filler support used for containing iron-carbon filler is horizontally arranged in the middle of the adsorption decomposition cavity, an aeration pipe is located below the first filler support, a first spraying assembly is arranged at the top in the adsorption decomposition cavity, and a second spraying assembly is arranged at the bottom in the adsorption decomposition cavity. A gas distribution pipe is arranged at the gas outlet end of the top of the adsorption and decomposition cavity and is communicated with the chemical washing cavity through a communicating gas pipe. The utility model has the beneficial effects that the load of the subsequent process is reduced, and the dosage is reduced; the filler can be repeatedly used, the service life is prolonged, and the cost is saved.

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 invention discloses a raw water quality change and dosage model guided production dosing test method. The method comprises the following steps: presetting raw water quality parameters related to a productivity test and limiting values of the parameters; obtaining a sampled raw water sample; repeatedly adding chemicals into the raw water sample; monitoring related water quality parameters of the raw water sample after dosing at least twice continuously; and calculating the dosage and judging whether the monitoring value exceeds a preset production raw water quality parameter value or not. The method comprises the following steps: monitoring a water sample after dosing, if a monitoring value exceeds a preset effluent ion concentration value, indicating that the current water quality does not reach the standard, and if the monitoring value is less than or equal to the preset effluent ion concentration value, indicating that the current water quality meets the requirement, and obtaining that the current dosing amount is the minimum dosing amount; by recording the dosage and effluent quality parameters under different raw water quality conditions and constructing a raw water quality change and dosage model, the production cost is reduced while the drug consumption is reduced, the dependency on production personnel is relieved, and the labor calculation intensity 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 invention discloses a regional medicine management system, and aims to optimize medicine inventory management, use monitoring and distribution processes and ensure timeliness and safety of medicine supply. The system covers a plurality of modules of inventory acquisition and management, use condition acquisition, predicted use, distribution management and coordination and the like, predicts a drug consumption trend through an intelligent algorithm, and realizes accurate replenishment and efficient distribution. Meanwhile, a medicine locking and auditing mechanism is arranged in the system, and reasonable distribution of the shortage medicine is guaranteed. In addition, the system further comprises a disease treatment knowledge graph module, an intelligent treatment scheme recommendation module and the like, and scientific treatment decision support is provided for doctors. The system also has macroscopic distribution and disease development trend analysis functions to deal with emergencies such as sudden epidemic situations and ensure efficient allocation of drug resources. On the whole, the system significantly improves the efficiency and level of regional drug management through an informatization means.

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 utility model discloses an MBR (Membrane Biological Reactor) membrane system with a pulse cleaning and dosing device, which comprises a water producing tank, a membrane tank, a membrane module arranged in the membrane tank and a dosing device, the membrane module is connected with the water producing tank through a water producing pump and a water producing pipeline, and a water producing automatic valve is arranged on the water producing pipeline at the inlet of the water producing pump. The water producing tank is connected with the membrane module device through a backwashing pump and a backwashing pipeline; a pipeline mixer and a backwashing automatic valve are arranged on the backwashing pipeline at the outlet of the backwashing pump; the alkali washing dosing device is connected with the pipeline mixer through an alkaline dosing pipe, and the acid washing dosing device is connected with the pipeline mixer through an acidic dosing pipe. According to the invention, backwashing and cleaning share one set of device, so that the arrangement of pumps, instruments and automatic valves is reduced, the arrangement of self-control point positions is reduced, the operation stability of the self-control system is improved, and meanwhile, a better cleaning effect can be obtained in a shorter time by using a pulse type dosing mode with lower chemical consumption.

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.

A water purifying agent adding method based on an improved competition depth Q network comprises the steps that sensors are installed at key positions of a water purification plant to collect multi-dimensional data such as water volume, dosage, inflow and outflow turbidity and water temperature, after cleaning and interpolation preprocessing, an improved double-flow network structure is input, relative advantages of actions and overall value of the state are learned respectively, and therefore the quality of the water purifying agent is improved. And constructing a state reward function and an economic cost advantage function integrated with multiple factors, dynamically adjusting the weight according to the turbidity of the source water to generate a comprehensive evaluation value, and realizing the real-time calculation of the optimal dosage. The time delay problem is solved by means of a decision buffer area, model adjustment is triggered through a closed-loop feedback system, finally, the model is integrated to an automatic control system, and simulation and practical application verification shows that the water quality standard reaching rate can be increased, the chemical consumption and the operation cost can be reduced, and the system stability and the operation efficiency can be improved.

The invention provides a method for regulating and controlling a sewage treatment facility based on microbial activity indexes, and relates to the technical field of environmental protection. The method comprises the following steps: installing an ATP online detector and / or an SOUR online detector in each section of treatment pond of a sewage treatment system to obtain detection data; carrying out comparison and preliminary analysis on ATP detection data and SOUR data of each section of treatment pool and a reference value, and adjusting correct installation of equipment; after adjustment, combining and comparing the ATP and / or SOUR data of each section with the reference value and the water quality data at the sewage outlet to obtain a conclusion, and regulating and controlling the operation of the sewage treatment system. According to the invention, through real-time detection of the treatment pool at each stage, a plurality of data are integrated to directly reflect and adjust the problems existing in the sewage system, so that the power consumption and the chemical consumption in the sewage treatment industry are further reduced.

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 present invention discloses an automatic dosing adjustment and sufficient flow-pushing device based on the AAO process, which belongs to the field of sewage treatment technology. It includes a sewage pretreatment tank and a biochemical tank, and the biochemical tank is sequentially divided into a disinfection tank, an anaerobic tank, an anoxic tank, and an aerobic tank; a water outlet is fixedly connected between the bottom of the disinfection tank and the anaerobic tank, the sewage pretreatment tank is fixedly connected to the biochemical tank, the right side of the aerobic tank is fixedly connected to a sewage pipe, the right end of the sewage pipe is fixedly connected to a sedimentation tank, a mud discharge pipe is provided at the bottom of the sedimentation tank, and a drain pipe is fixedly connected to the right side of the sedimentation tank; this improved AAO sewage treatment system realizes the linkage between the amount of drug added and the water level of the disinfection tank through a clever structural design. When the water level of the disinfection tank changes, the floating plate drives the top plate to act on the perforated rotating plate, thereby controlling the amount of drug outflow from the drug storage chamber. This design overcomes the defects of extensive operation in the field of urban sewage treatment, avoids the waste of drug consumption and energy consumption, and at the same time, can effectively guarantee the amount of disinfectant added, ensure the effective elimination of bacteria and viruses, and reduce the risk of transmission of infectious viruses.

The utility model provides a dual-function waterworks automatic dosing device. A permanganate pre-oxidation combined Fe (III) / PMS advanced oxidation / enhanced coagulation process is taken as a core. The system comprises a pretreatment unit, an automatic dosing control system program unit, an MFP process automatic dosing unit, an online instrument device, a central processing unit device and a metering pump device. The system detects the water quality of raw water on line and sends data to the central processing unit device, and the central processing unit device determines the drug feeding amount through calculation. And the metering pump device is used for feeding permanganate, Fe (III) and PMS into the pretreatment unit, so that enhanced coagulation and oxidation are realized. After treatment, the online instrument device detects the water quality, and the central processing unit device processes data through an automatic dosing control system program unit, determines the optimal dosing amount and dosing ratio and feeds back the optimal dosing amount and dosing ratio to the metering pump device so as to reduce drug consumption.

The present application relates to the technical field of polyacrylamide, and in particular to a method and system for large-scale selection of polyacrylamide based on data processing, wherein the overall polyacrylamide charge density of polyacrylamide capillary flocs is obtained based on drug consumption restrictions, and multiple polyacrylamide charge density structures under the overall polyacrylamide charge density are used; based on the sewage treatment capacity diagnostic parameters of polyacrylamide capillary flocs, a sewage treatment capacity diagnostic system of polyacrylamide capillary flocs is generated; combined with the diagnostic formula and parameter importance, the diagnostic scores of multiple polyacrylamide charge density structures under the sewage treatment capacity diagnostic system of polyacrylamide capillary flocs are analyzed; based on the diagnostic scores, the optimal selection results among multiple polyacrylamide charge density structures are obtained. The present invention can show the differences in sewage treatment capacity parameters between different polyacrylamide product designs, and guide the optimization design direction of polyacrylamide products by supplementing the shortcomings.

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 relates to the field of drug inventory data prediction, in particular to an ophthalmic nursing drug inventory management method and system. The method comprises the following steps: obtaining a data fluctuation degree according to data distribution of each data neighborhood in a drug consumption data sequence of a target drug, and obtaining a trend term weight coefficient in combination with data distribution in the sequence; obtaining a seasonal item weight coefficient according to data cycle characteristics in the sequence; according to the data fluctuation degree and the data dispersion degree in the sequence, obtaining a residual item weight coefficient; adjusting the initial prediction trend item, the initial prediction season item and the initial prediction residual item to obtain final drug use prediction data of the target drug use at each sampling moment in the future period; and carrying out inventory management on the ophthalmic nursing medicines according to the final prediction data of the medicines. According to the method, the intensity performance of each ophthalmology nursing medicine in different decomposition items is considered, an accurate prediction result is obtained, and the ophthalmology nursing medicine can be subjected to accurate inventory management.

The utility model discloses a uterine cavity perfusion catheter, relates to the technical field of catheters, and aims to solve the technical problem that medicines in a medicine injection channel cannot be utilized in uterine cavity perfusion in the prior art, so that the medicines are wasted. Wherein one side of the double-cavity catheter body is located in the uterine cavity, the other side of the double-cavity catheter body is located outside, the double-cavity catheter body is divided into a drainage pipeline and a medicine injection pipeline, the medicine injection pipeline is slidably connected with a scraping plate through an elastic piece in the side, located in the uterine cavity, of the medicine injection pipeline, and a medicine injection channel with an outlet is formed in the side wall of the medicine injection pipeline, and the distance between the medicine injection channel and the end of the medicine injection pipeline is smaller than the distance between the scraping plate and the medicine injection channel. The outlet is formed in the inner side wall of the medicine injection pipeline, and a protection device is arranged at the end, communicated with the uterine cavity, of the medicine injection pipeline. Through the scraping plate, the protection device, the medicine injection channel, the outlet and the like, medicine adsorbed on the inner wall of the medicine injection pipeline can be scraped and then is matched with the protection device, and the medicine is conveyed to a uterine cavity. The medicine consumption is reduced, and the treatment effect and the treatment efficiency of uterine cavity perfusion of a patient are improved.

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 discloses a multi-parameter controlled lime coagulation treatment dosing method and system. The method comprises the following steps: firstly, obtaining the flow, first calcium ion hardness and first magnesium ion hardness data of inlet water of a lime coagulation treatment system, and second calcium ion hardness and second magnesium ion hardness data of outlet water of the lime coagulation treatment system; according to the hardness difference value of the calcium ions and the magnesium ions, calculating the regulation and control coefficient of the lime dosage; according to the set water quality hardness of the outlet water and the hardness of calcium and magnesium ions in the inlet water, the hardness removal amount of calcium and magnesium is obtained; finally, the lime adding amount is calculated according to the water inlet flow, the regulation and control coefficient, the hardness removal amount, the coagulant adding amount, the excess lime amount, the purity and the configuration concentration. According to the method, the lime coagulation dosage can be accurately and timely adjusted by monitoring the water quality change of the inlet and outlet water and the removal effect in real time, so that the problems of poor treatment effect and excessive dosage caused by hysteresis in a traditional mode are avoided, the efficient and stable operation of a lime coagulation treatment system is ensured, and the operation cost is effectively reduced.

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.