2700results about How to "Rapid response" patented technology

The invention discloses a method for preparing a single-layer tungsten diselenide nanoband based on a space confinement strategy. By changing the flow and the growth time of hydrogen, effective control on the width and the thickness of a nanoband can be realized. The method comprises the following steps: uniformly spraying tungsten trioxide powder to one substrate, then covering the substrate by the other substrate, and forming micro reaction space which is of a 'sandwich'-like structure. Growth of a tungsten diselenide nanoband is carried out by utilizing a constant-pressure chemical vapor deposition method; physicochemical characteristics of a one-dimensional transition metal chalcogenide strongly depend on suspension key types on the edge of the one-dimensional transition metal chalcogenide, metallic properties are displayed by an ultranarrow band, and conversion from the metallic properties to semiconductor properties can be displayed from the edge to the center of a wider band; the tungsten diselenide nanoband is widely applied to micro-nano photoelectric devices due to the special property; industrial production of the tungsten diselenide nanoband can be realized through an experimental method of the invention.

The invention relates to the technical field of vehicle control, in particular to an unmanned vehicle control method based on deep learning, and the method comprises the following steps: collecting the multi-modal data of weak participants in a road environment in real time, and recognizing the weak participants; the behaviors of the weak participants at the next moment are predicted through multi-dimensional information fusion, and behavior intention prediction of the weak participants is carried out; the path planning and control strategy of the vehicle is adjusted in real time through the self-adaptive decision control module; and when the predicted behavior intention of the weak participant has high uncertainty or potential risk, an emergency avoidance mechanism is automatically triggered, the risk level of the current traffic environment is dynamically evaluated, an optimal avoidance path is generated, and emergency stop or detour operation is executed. According to the method, double guarantees of high-dimensional analysis of behavior intentions of participants and real-time control of vehicles are combined, and the driving safety in a complex traffic scene is ensured.

The invention discloses an online public opinion research, judgment, analysis, classification and grading early warning method and system, and the method comprises the steps: constructing a malicious public opinion data detection and judgment model, and carrying out the iterative training of a pre-training neural network through large-scale online public opinion historical data, so as to achieve the fine adjustment and optimization of the model; after malicious public opinion data are detected, fine-grained classification of malicious public opinions is realized through deep semantic comprehension and multi-dimensional text structure analysis by adopting BERT and ERNIE deep learning models and combining semantic role labeling and dependency syntactic analysis technologies; a malicious public opinion data grading and distinguishing model is constructed, deep correlation between public opinion events is captured through multi-layer convolution operation, and the recognition capacity for public opinion sensitivity and urgency degree is improved. According to the invention, malicious public opinion data related to a specific industry field can be efficiently and accurately identified and classified, and the malicious public opinion data is subjected to severity grading, so that the accuracy and the real-time performance of network public opinion management are improved.

The invention belongs to the technical field of intelligent management, and particularly discloses and provides an unmanned aerial vehicle group collaborative fire extinguishing intelligent management system, which comprises a flame position analysis module, a fire scene image is acquired by screening target unmanned aerial vehicles, and a flame area is identified to determine a fire source position. The fire behavior evaluation module divides a fire scene area according to the position of a fire source, monitors the wind speed, the combustible density and the flame temperature, analyzes a fire behavior spreading degree index, and screens out a fire behavior spreading area. The launching path analysis module screens fire extinguishing unmanned aerial vehicles based on unmanned aerial vehicle functions, and analyzes flight paths in combination with fire spreading areas, maps and unmanned aerial vehicle position information of a fire scene. The fire extinguishing agent throwing module collects data such as vertical temperature distribution, analyzes the target height and throwing distance of the fire extinguishing unmanned aerial vehicle, judges whether the target height and throwing distance are qualified or not and conducts adjustment. And the coverage area qualification judgment module is used for collecting a put fire extinguishing agent image, analyzing a coverage area qualification degree index, judging whether the fire extinguishing agent is qualified or not and performing early warning.

The invention discloses an emergency prediction and early warning method for an overwater oil spill and hazardous chemical substance leakage accident. The method comprises the following steps: establishing an inland river basic database; constructing an environmental ecological effect model of the oil spill event; biological population changes under the influence of the oil spill event are identified; evaluating the influence of the oil spill event on the ecological system by using an eDNA macro stripe code technology; based on a biostatistics method, analyzing the relationship between the microbial community and the environmental elements; multi-dimensional real-time monitoring and early warning are carried out on an oil spill event; and a targeted sewage disposal scheme and ecological restoration measures are provided. According to the method, aerial remote sensing, ship and shore-based radar, video monitoring and buoy data are combined, multi-dimensional real-time monitoring and early warning of oil spill events are achieved through a multi-source data fusion technology, a traditional method usually only depends on a single data source, the monitoring accuracy and timeliness are improved, and the method is suitable for popularization and application. And after an oil spilling event occurs, a response can be made more quickly, and the damage of the accident to the environment and the economy is effectively reduced.

The invention discloses an ecological pontoon device and method for removing heavy metal in a water body, and relates to the technical field of sewage treatment.The ecological pontoon device comprises an overwater moving platform, a power propeller, a self-cruising module assembly, a heavy metal ion removing assembly and a control system, and the power propeller is installed at the bottom of the overwater moving platform; the self-cruising module assembly is mounted on the water mobile platform; the heavy metal ion removal assembly comprises an acrylic square groove formed in the water moving platform, ecological filler filled in the acrylic square groove and a micro diaphragm water pump installed between the acrylic square groove and the water moving platform, and the micro diaphragm water pump is suitable for pumping water from the lake into the acrylic square groove. The water is filtered by the ecological filler and is pumped back to the lake body again; the control system is electrically connected with the power propeller and the self-cruise module assembly. According to the method, heavy metal ions in the water body can be effectively removed, and the efficiency can be remarkably improved while the cost is reduced.

The invention discloses an intelligent henhouse environment concentration monitoring system, and relates to the technical field of henhouse environment concentration monitoring. The influence of changes of environmental parameters in a henhouse in different seasons on chicken raising is solved. The system specifically comprises a sensor module, a data acquisition module, a data transmission module, a data processing module and a remote monitoring module, the sensor module acquires various environmental parameters in a henhouse and transmits the acquired data to the data acquisition module, and the data acquisition module receives the data transmitted by the sensor module, pre-processes the data and transmits the pre-processed data to the remote monitoring module. The preprocessed data is uploaded to the data processing module through the data transmission module, the data processing module analyzes and processes the data, and the collected original data is converted into useful information understood by a breeder. Parameters of the model can be obtained by fitting the model into historical data, and the parameters are used for predicting the influence of changes of environmental parameters in the henhouse on chicken raising in different seasons in the future.

The invention discloses a self-adaptive dynamic path planning method and system for an underwater operation robot, relates to the technical field of path planning, and aims to effectively reduce the collision risk and further improve the safety of the underwater operation robot by carefully analyzing and monitoring dynamic and static obstacles and establishing a collision prediction model. According to the method, the safety of equipment and environment is guaranteed, in combination with path consumption energy Xnn, a proper path is conveniently and preliminarily selected, the energy consumption is further reduced, the operation efficiency and cruising ability of the robot are improved, and according to the detour difference Rc, detour of a static obstacle appearing in the path is further analyzed so as to seek the shortest path for detour of the static obstacle; meanwhile, the running state of the dynamic obstacle is mastered in real time according to the obstacle running information, the dangerous dynamic obstacle is further locked, a collision prediction model is established, the environment change can be quickly coped with in the running process of the robot, and a foundation is laid for guaranteeing smooth completion of tasks.

The embodiment of the invention provides an intelligent agent training method, device and equipment and a computer readable storage medium. The agent is associated with a large language model, the method comprising: obtaining expert trajectory data about an inference chain, the inference chain comprising a plurality of inference steps; generating agent trajectory data about the inference chain by the agent based on the expert trajectory data; the expert trajectory data and the agent trajectory data are progressively compared in an inference step order to generate an inference step-by-inference step reward, and the agent is trained based on the inference step-by-inference step reward. According to the method for training the intelligent agent, the reinforcement learning process of the intelligent agent can be optimized by rewarding one by one reasoning steps. Specifically, the method for training the agent according to the present disclosure can compare expert actions in an expert trajectory with agent actions in an agent trajectory, thereby automatically generating an intermediate reward for fine-grained optimization.

The invention discloses a mine high and steep slope landslide machine learning prediction method based on an unmanned aerial vehicle technology and multi-source data fusion. The method comprises the steps that a high-resolution digital surface model is shot by an unmanned aerial vehicle; removing non-topographic features from the digital surface model data in ArcGIS software, then converting the digital surface model data into digital elevation model data, obtaining a surface refining model of the surface mine in the digital elevation model, taking the surface refining model as a constraint to trim the surface of the three-dimensional geologic model, and fusing factors of ArcGIS software and three-dimensional geologic model analysis by using Python to obtain a three-dimensional geologic model surface refining model; complete slope data are constructed; inputting the fused complete side slope data into a machine learning algorithm training model, and generating a side slope landslide susceptibility prediction model; the optimized model is used for carrying out landslide susceptibility prediction on new slope data. According to the method, various factors influencing the slope stability can be comprehensively analyzed, high efficiency can be kept during large-scale data processing, and the slope stability in mine engineering can be evaluated more accurately.

The invention discloses a body dryer which comprises a shell, a first circuit board and two air channels are connected in the shell, the air channels are located on the side face of the first circuit board, air inlets are formed in the front end and the rear end of the shell, the two air inlets are communicated with one ends of the two air channels respectively, two assembly openings matched with the other ends of the two air channels respectively are formed in the shell, and the two assembly openings are communicated with the first circuit board. The two assembly ports are located at the two ends of the same side wall of the shell respectively, the other end of the air channel is connected with the corresponding assembly port in a sealed mode and provided with a plurality of air outlets, and a filter, a motor, a main control board and a heater are connected into the air channel and sequentially distributed from the end, communicated with the air inlet, of the air channel to the other end of the air channel. The main control board is electrically connected with the motor, the heater and the first circuit board, and a touch panel and a power line which are electrically connected with the first circuit board are arranged outside the shell. The drying device has the beneficial effects that the drying speed is increased while the air volume is increased.

The invention discloses a monovalent selective cation exchange membrane, a preparation method thereof and an electrodialysis device, and relates to the technical field of ion exchange membranes. The preparation method of the monovalent selective cation exchange membrane comprises the following steps: soaking a cation exchange membrane loaded with a photoinitiator in a co-deposition modification solution containing dopamine, polyethyleneimine and chitosan, carrying out a co-deposition reaction under radiation initiation of ultraviolet light, taking out the cation exchange membrane after the reaction is finished to obtain a co-deposition modified membrane, and then carrying out heat treatment to obtain the monovalent selective cation exchange membrane. The monovalent selective cation exchange membrane is obtained. The ultraviolet light initiator and chitosan with certain adhesion are introduced in the co-deposition process, so that the co-deposition speed of dopamine and polyethyleneimine on the surface of the film is promoted, meanwhile, a base film and a co-deposition modified layer can be connected, the stability of the modified film is improved, the pore size screening effect is improved, and the service life of the film is prolonged. And moreover, ion exchange sites of the modified membrane are not occupied, monovalent and multivalent cations are effectively separated, and meanwhile, good ion flux is achieved.

The invention provides an anti-human CD117 monoclonal antibody and an application thereof. The anti-human CD117 monoclonal antibody comprises three heavy chain complementary determining regions CDR-H1, CDR-H2 and CDR-H3 and three light chain complementary determining regions CDR-L1, CDR-L2 and CDR-L3, the amino acid sequence of the CDR-H1 is as shown in SEQ ID NO: 1, the amino acid sequence of the CDR-H2 is as shown in SEQ ID NO: 2, the amino acid sequence of the CDR-H3 is as shown in SEQ ID NO: 3, the amino acid sequence of the CDR-L1 is as shown in SEQ ID NO: 4, the amino acid sequence of the CDR-L2 is as shown in SEQ ID NO: 5, and the amino acid sequence of the light chain complementary determining regions is as shown in SEQ ID NO: 6. The amino acid sequence of the CDR-L3 is as shown in SEQ ID NO: 6. Compared with the existing known anti-human CD117 monoclonal antibody, the antibody disclosed by the invention shows better cellular level biology, and is expected to show a good clinical effect in the aspect of preventing and treating related diseases.

The invention discloses a waterproof composite material production intelligent control system, and relates to the technical field of control systems, the system comprises a data acquisition layer, a standard template generation module, a data processing layer, a Transform-based model core layer and an output layer, the data acquisition layer acquires production data in real time; a data processing standard template is generated through a standard template generation module, standardization processing is conducted on real-time data through a data processing layer, production process modeling and production state analysis are conducted through a Transform model core layer, an analysis result is decoded into a control instruction through an output layer, and production line process parameters are adjusted. The production process is intelligently and optimally controlled by applying the artificial intelligence technology, the intelligent level, the operation efficiency and the product quality of the production line are remarkably improved, meanwhile, the production goals of energy conservation, efficiency improvement and intrinsic safety are achieved through refined management and control and whole-process safety protection, and intelligent and green development of the waterproof composite material industry is promoted.

The invention relates to the technical field of coal mine safety supervision, and provides a coal mine safety supervision method, which comprises the following steps of data acquisition, data transmission, data analysis, artificial intelligence judgment, risk early warning, safety decision and event recording. According to the comprehensive coal mine safety supervision method and system, the safety management level of a coal mine is greatly improved, the occurrence probability of accidents is reduced, and the sense of safety and the working efficiency of miners are improved. In addition, through continuous data collection and analysis, the system can be continuously self-optimized to adapt to the change of a coal mine environment, and long-term safety production is realized. The popularization and application of the system undoubtedly bring revolutionary improvement to the safety management of the whole coal mine industry.

The utility model relates to the field of electromagnetic valves, and discloses a mute electromagnetic valve. The mute electromagnetic valve comprises a framework provided with a cavity, a coil is arranged on the peripheral wall of the framework, a movable iron core and a static iron core are coaxially arranged in the cavity, a mute pad is arranged at the end, facing the movable iron core, of the static iron core in a sleeved mode, a protruding ring is arranged at the end, facing the movable iron core, of the mute pad, and when the movable iron core and the static iron core attract each other, the movable iron core and the static iron core attract each other. Through the design that the annular end face of the convex ring abuts against the end face of the movable iron core, the impact contact area generated when the movable iron core and the static iron core are attracted is reduced, and the impact noise generated when the movable iron core and the static iron core are attracted can be effectively reduced.

The invention discloses a glucose response type insulin delivery system as well as a preparation method and application thereof, and belongs to the technical field of biological materials. The glucose response type insulin delivery system provided by the invention comprises a delivery carrier and a bioactive component encapsulated in the carrier, the delivery carrier is a metal polyphenol network formed by carrying out coordination reaction on epigallocatechin gallate and metal ions; the bioactive components comprise glucose oxidase, catalase and insulin. The glucose response type insulin delivery system provided by the invention can adjust the release of insulin according to the concentration of glucose in the surrounding environment, so that the blood glucose is maintained at a normal level.

The invention discloses an RTO heat storage type incineration method waste gas treatment device which comprises a spraying adsorption box, one side of the spraying adsorption box is fixedly connected with a connecting pipe, the other end of the connecting pipe is fixedly connected with a gas inlet pipe, an impurity removal device is arranged on the inner side of the gas inlet pipe, a stirring assembly is arranged in an inner cavity of the spraying adsorption box, and the stirring assembly is fixedly connected with the spraying adsorption box. The waste gas treatment device has the advantages that through the arrangement of a filter plate, particle impurities contained in waste gas can be conveniently blocked at the front end of the filter plate, at the moment, airflow generated by the waste gas can conveniently drive a plurality of spiral blades to rotate, and therefore the waste gas treatment device is convenient to use. Furthermore, a rotating shaft can conveniently drive a cleaning brush to rotate and sweep at the front end of a filter plate, particle impurities on the outer side of the filter plate are removed, and at the moment, the particle impurities fall into a material collecting drawer under the action of gravity to be collected.

The invention relates to the technical field of network security, in particular to a network security analysis method and system based on digital twinning. The method comprises the following steps: carrying out network topology perception on a target network to obtain a network data transmission topological graph; carrying out real-time traffic first acquisition on the target network to obtain a first real-time traffic data set; performing digital twinborn model construction on the target network according to the first real-time traffic data set based on the network data transmission topological graph to obtain a network digital twinborn model; performing real-time traffic second acquisition on the target network to obtain a second real-time traffic data set; performing equipment system log collection on the target network to obtain an equipment system log set; and performing data synchronous mapping on the second real-time traffic data set, the equipment system log set and the network digital twinborn model to obtain a real-time network digital twinborn model. According to the invention, the network security risk is obviously reduced.

The invention relates to an activating agent and a method for repairing an organic contaminated site by targeted stimulation of indigenous microorganisms based on negative pressure infiltration promotion, which are characterized in that the activating agent containing nutrient substances, a sustained-release material and a surfactant is promoted to be uniformly distributed in the contaminated site through a negative pressure effect formed in soil by vacuumizing, so that the growth and activity of the indigenous microorganisms can be stimulated, and the effect of repairing the organic contaminated site by targeted stimulation of the indigenous microorganisms is achieved. The degradation of organic pollutants is accelerated. The defects that an existing in-situ organic pollutant site repairing technology is high in energy consumption, poor in effect, incapable of achieving secondary utilization of repaired soil, small in application range and the like are overcome, the provided activating agent can be combined with indigenous microorganisms in the site in a targeted mode, nutrient substances needed by growth are provided for the indigenous microorganisms, biodegradation of organic pollutants is promoted, and the effect of in-situ repairing of the organic pollutant site is achieved. And the activating agent is uniformly distributed in the polluted site under the negative pressure effect, so that more uniform and effective in-situ remediation is realized.

The invention belongs to the technical field of preparation of phosphorus trichloride, and particularly relates to a preparation device and method of phosphorus trifluoride. The device comprises a reactor, a cold trap and a collector, the upper part of the reactor is provided with a phosphorus trichloride dropping device and a zinc fluoride feeding port, the upper end of the reactor is provided with a stirring paddle, the stirring paddle extends to the bottom of the reactor, the upper end of the reactor is communicated with the cold trap through a first pipeline, the pipeline is provided with a condensation pipe, and the condensation pipe is communicated with the cold trap through a second pipeline. The bottom of the cold trap is communicated with the reactor through a second pipeline; and the upper end of the cold trap is communicated with the collector through a third pipeline. The method comprises the following steps: dropwise adding phosphorus trichloride into anhydrous zinc fluoride powder in a nitrogen atmosphere, and stirring for reaction; and collecting a reaction product, and recovering phosphorus trichloride. By adding the stirring paddle into the reactor and adopting a two-stage condensation method, the conversion rate of the raw materials is increased, the production cost is reduced, and the operation process is simple.

The invention relates to a critical disease inter-hospital referral patient scoring and resource allocation method, system and device, and a medium. The method comprises the following steps: determining referral demands of patients; constructing a resource matching model in combination with the illness state and the geographic position of the patient and the medical specialist information of the hospital to generate a recommended hospital list, and determining a transfer-in hospital and a referral time window; calculating an optimal referral path and the shortest time required by referral in the referral time window according to the transfer-in hospital and the referral time window in combination with the geographic information and the real-time road condition data; and allocating the ambulances to the patients within the available range of the ambulances based on the globally optimized resource allocation model. The advanced scoring rule and the resource allocation algorithm are introduced, the treatment efficiency of critical patients is improved, more scientific and objective decision support is provided, and unnecessary referral treatment and repeated examination are reduced, so that the medical cost is effectively reduced, medical errors are reduced, and the satisfaction degree of the patients is greatly improved.

The invention relates to the technical field of hydraulic engineering management, in particular to a hydraulic engineering management method and system based on digital twinning. The method comprises the following steps of obtaining hydraulic engineering design data, hydraulic engineering operation data and hydraulic engineering environment data, and performing digital twin space modeling on the corresponding hydraulic engineering to obtain a hydraulic engineering digital twin space model; performing operation condition virtual simulation analysis and water flow distribution change analysis on the hydraulic engineering digital twin space model, and performing engineering structure stress load analysis and engineering operation risk assessment to obtain hydraulic engineering simulation operation process risk data under different operation and environment change conditions; and performing risk decision management processing on the corresponding water conservancy project to generate a water conservancy project operation process risk management decision so as to execute corresponding water conservancy project operation risk management adjustment work. According to the invention, the management effect and response capability of the hydraulic engineering can be greatly improved.

The invention belongs to the technical field of ethylene oligomerization catalysis, and discloses a catalytic system for ethylene selective oligomerization and a preparation method and application thereof, and the catalytic system comprises a carbon bridge bidentate phosphine chromium catalyst, an organic boron auxiliary agent and an aluminum-containing activator in a molar ratio of 1: (1-50): (100-1500). The carbon-chromium catalyst is prepared by the following steps: reacting CrCl3 (THF) 3, a ligand and CH2Cl2 under stirring, filtering, and carrying out post-treatment to obtain the catalyst, the catalyst and the aluminum-containing activating agent are uniformly mixed, and then the organic boron auxiliary agent is added and stirred. The catalyst system constructed by the carbon bridge bidentate phosphine chromium catalyst, the organic boron auxiliary agent and the aluminum-containing activating agent realizes ethylene selective oligomerization. The catalytic system can realize high-efficiency and high-selectivity preparation of 1-hexene and 1-octene under the condition that aluminoxane co-catalysts such as MAO and MMAO are not adopted, the catalytic activity is high, the reaction initiation is rapid, the operation is stable, and the repeatability is good.

The invention relates to an intelligent behavior analysis and anomaly detection system for Internet of Things security, which is applied to the technical field of Internet of Things security, and comprises a data acquisition module, a data preprocessing module, a behavior modeling module and an anomaly detection module, the data preprocessing module cleans the data, the behavior modeling module generates a vector sequence of equipment behaviors through feature embedding and position coding, and the anomaly detection module analyzes time sequence association of the equipment behaviors by utilizing a self-attention mechanism and a multi-head attention mechanism and judges whether the equipment has abnormal behaviors or not. The cooperative defense module realizes cross-device cooperative defense through an edge detection unit and a cloud analysis unit, and the threat intelligence sharing module realizes sharing and updating of threat intelligence through a local intelligence database and an external intelligence interface. And the response module carries out automatic defense and notifies a system administrator through the automatic defense unit and the alarm unit when an abnormity is detected.

The invention relates to the technical field of batching automatic control, and discloses a material flow and energy flow bidirectional coupling tin smelting automatic batching method and system. Carrying out automatic calculation to carry out material balance, energy balance calculation and material-energy coupling optimization configuration, and determining a decision variable value of production optimization batching, namely a batching scheme; a batching scheme and target parameters are displayed through a window and are transmitted to a DCS (Distributed Control System) through an OPC (Optical Product Control) server, and the feeding amount of a feeder and hardware instrument equipment are controlled by the DCS; the current crude tin grade, the Fe / SiO2 ratio in slag and the melt temperature are analyzed and compared with target values. The system comprises a batching calculation module, a distribution control module and a parameter correction module. Through material and energy flow analysis, precise smelting burdening, process optimization, energy conservation and emission reduction are achieved, and the production efficiency and environmental friendliness are improved.

The invention belongs to the technical field of grease modification and lipid deep processing, and particularly relates to a method for enriching n-3 polyunsaturated fatty glyceride by an enzymic method. According to the method, alkyl-modified hollow mesoporous silica spheres are used as an immobilized enzyme carrier and an emulsifier, grease rich in n-3 polyunsaturated fatty acid is used as a raw material in a stable Pickering emulsion system, saturated fatty acid and monounsaturated fatty acid are selectively hydrolyzed by lipase, and polyunsaturated fatty glyceride is enriched. The method has the characteristics of fast reaction, high yield, wide substrate application range and reusability of the immobilized enzyme, and the content of polyunsaturated fatty acid in the polyunsaturated fatty glyceride reaches 58.05-90.53%.

The invention relates to the technical field of electric wheelchair control, in particular to a multi-mode navigation control method and system of an electric wheelchair controller. The method comprises the following steps: acquiring a real-time environment monitoring video based on an electric wheelchair high-definition camera; video jitter distortion compensation and dynamic object frame-by-frame continuous optical flow tracking are carried out on the real-time environment monitoring video, and a moving track of each dynamic object is generated; performing environment static obstacle accurate identification on the real-time environment monitoring video, and performing dynamic environment perception modeling based on a moving track of each dynamic object so as to generate a dynamic environment map; a navigation mode switching decision is made based on a real-time wheelchair operation instruction of the user to obtain a current navigation mode of the user, and the current navigation mode of the user comprises a rocker control mode and an intelligent navigation mode. According to the invention, efficient and intelligent multi-mode control of the electric wheelchair is realized, so that the electric wheelchair can more flexibly and safely cope with a complex environment.

The invention discloses a multi-module lithium battery pack system based on cloud computing management, relates to the technical field of cloud computing management, and is used for solving the problem of poor management precision of a multi-module lithium battery pack. Comprising a lithium battery data acquisition module, a battery degradation analysis module, a degradation acceleration point determination module and a strategy management module. According to the invention, data acquisition and preprocessing are carried out on a multi-module lithium battery pack through an Internet of Things sensor and an edge computing device, the data are transmitted to a cloud platform, Fourier transform is used to extract features, a nonlinear regression model is combined to evaluate the health state of the lithium battery, and a degradation speed is determined and a degradation acceleration phenomenon is identified through a segmented nonlinear regression model. Kalman filtering and nonlinear regression are combined, a degradation acceleration point is identified, load distribution is optimized through an intelligent scheduling algorithm after identification, the load of a degradation module is reduced, a scheduling signal is generated by analyzing load adjustment information, a system is guided to perform strategy scheduling management, and a scheduling strategy and energy management efficiency are optimized.

The invention discloses an anti-surge control method for a combustion-driven compressor unit based on decoupling active disturbance rejection control. The anti-surge control method comprises the following steps: deducing a simplified dimensionless coordinate system; historical records of the following variables under different rotating speed working conditions are read; s100, fitting the obtained historical data under the same working condition according to a fitting formula of a stable region and an unstable region to obtain critical surge points, putting the critical surge points into the dimensionless coordinate system obtained in the step S100 through coordinate transformation, and drawing a surge line SLL; drawing a surge control line SCL according to the obtained surge line SLL; calculating the obtained distance between the surge control line SCL and the abscissa of the current operating point of the unit in the dimensionless coordinate system; designing an active disturbance rejection controller based on an error form based on the obtained distance; and designing a decoupling loop and applying the obtained active disturbance rejection controller to the decoupling loop. According to the invention, the mutual interference between anti-surge control and rotating speed control can be effectively eliminated, and the damage to the production process caused by the surge phenomenon is prevented.