7649 results about "Electrochemistry" patented technology

An integrated carbon honeycomb structure material and its preparation method are disclosed, belonging to the field of carbon materials technology. Based on a co-sacrificial template low-temperature pyrolysis strategy, the target material can be obtained through three main steps: preparation of a metal salt-colloidal microsphere template precursor, precursor pressing and molding, and subsequent calcination and carbonization. This technology has the characteristics and advantages of simple preparation process, regular and controllable macroscopic structure of the sample (such as shape, area, and thickness), rich and tunable chemical composition, and three-dimensional interconnection of graphene carbon matrix. It has great application potential in many fields such as electrochemical energy storage, catalysis, gas separation, adsorption, and electromagnetic shielding.

The invention discloses an energy storage system state evolution trend prediction method based on multi-source data fusion. The method comprises the steps of terminal voltage, current and temperature time sequence data acquisition, time sequence segmentation normalization, multi-physics field coupling feature construction, trend prediction model construction and training and energy storage system state evolution trend prediction. According to the method, the distinguishing capacity of the model for charging and discharging physical characteristics is improved, meanwhile, the voltage change rate, the multi-dimensional feature vector of the differential internal resistance and the thermal-electric coupling effect and the explicit encoding electric-thermal-resistance coupling relation are constructed, the transient response and the temperature hysteresis effect can be effectively captured, and then the model can be used for analyzing the charging and discharging physical characteristics. A degradation-aware cross-cycle feature extraction and gating mechanism is adopted, short-term fluctuation and long-term trend are adaptively balanced in multi-scale prediction, the prediction conflict problem is relieved, finally, physical constraints based on the electrochemical law and the internal resistance temperature characteristic are embedded in a loss function, it is ensured that the prediction result is accurate in numerical value and conforms to the physical law, and the prediction accuracy is improved. And generation of physically impossible solutions is avoided.

The invention belongs to the crossing field of artificial intelligence and process control, particularly relates to an intelligent coupling control strategy for chlorine production through seawater electrolysis based on digital twinning, and aims to solve the problems of response lag, weak disturbance suppression and lack of electrode aging early warning in a traditional control method. According to the strategy, a high-fidelity digital twin fusing electrochemistry, fluid and thermodynamics is constructed, characteristics of current, temperature, impedance spectroscopy and the like are collected and fused at high frequency through a multi-source sensor, a state space model driven by a deep recurrent neural network is established, and current efficiency and electrode aging coupling evolution recognition is achieved; when salinization or flow mutation is detected, the twinborn body predicts and dynamically calibrates the current density and the voltage set value in advance, and the safety process window is synchronously scaled. According to the strategy, the chlorine gas yield fluctuation is reduced by 60%, the energy consumption standard deviation is reduced by 45%, the fault early warning is advanced by 2-5 hours, the fault-free operation time of the system is prolonged by 50%, and high-precision, self-adaptive and preventive intelligent control of the electrolysis process is realized.

The invention discloses an oxidation-reduction free radical synergistic electrochemical wastewater treatment method and system. The method comprises the following steps: collecting pollutant concentration in wastewater and electrochemical reactor state parameters in real time through a sensor array; analyzing a pollutant change trend based on the data, and determining an optimization target value of an active substance generation proportion in combination with historical data; the trained classification model is used for classifying the water body state, and whether dynamic adjustment is needed or not is judged; if necessary, calculating the state parameter correction according to the deviation between the target value and the actual value, and adjusting the operation of the reactor; and monitoring the adjusted active substance proportion and degradation efficiency, and dynamically updating the optimization target according to the adjusted active substance proportion and degradation efficiency and the pollutant trend to realize continuous self-adaptive regulation and control. The intelligent closed-loop control of the reaction parameters is realized, the stability of the treatment efficiency is obviously improved, and the energy consumption and the risk of secondary pollution are effectively reduced.

A method and apparatus for the electrochemical polishing of metallic workpieces are proposed, wherein an electrolyte medium containing solid granular particles and a liquid electrolyte is placed in a container and conductively connected to a first electrode, wherein the metallic workpiece is conductively connected to a second electrode and immersed in the electrolyte medium in the container, wherein the electrodes are subjected to an electrical voltage such that the first electrode in contact with the electrolyte medium has a negative voltage and the second electrode in contact with the workpiece has a positive voltage, and wherein the workpiece is moved relative to the majority of solid granular particles of the electrolyte medium in order to polish it electrochemically.The invention provides that the polarity of the electrical voltage applied to the electrodes is temporarily reversed at least once, in particular periodically, during the electrochemical polishing of the workpiece, so that the first electrode in contact with the electrolyte medium temporarily has a positive voltage and the second electrode in contact with the workpiece temporarily has a negative voltage.

The invention discloses an intelligent detection and dynamic supplement regulation and control system for electroplating bath solution components, and belongs to the technical field of electroplating. The system comprises an electroplating bath body, a detection module, a data processing and control module and a regulation and control module. The detection module is used for detecting the metal ion concentration, the pH value, the temperature and the additive concentration of the bath solution on line in real time through a spectrum sensor, an electrochemical sensor and a physical parameter sensor; the data processing and control module adopts a PID and machine learning fused intelligent regulation and control model, predicts the component change trend according to the detection data and the process parameters, and generates a dynamic regulation and control instruction; the regulation and control module quantitatively supplements target components through a high-precision metering pump, and the closed-loop feedback correction module is combined to ensure that the components of the bath solution are stabilized within a preset threshold range. Multi-parameter synchronous detection and accurate regulation and control are achieved, the quality stability of the plating layer is improved, raw material consumption and labor cost are reduced, and the method can be widely applied to industrial scenes such as metal surface treatment.

The invention provides a reinforcement corrosion electrochemical parameter inversion method based on LSTM (Long Short Term Memory) time sequence prediction, which comprises the following steps: S1, acquiring electrochemical time sequence data in a reinforcement corrosion process through an electrochemical workstation to form an original reinforcement corrosion electrochemical time sequence data set; s2, preprocessing is carried out to obtain a training set, a verification set, a test set and normalization coefficients of all parameters; s3, constructing and training an LSTM time sequence prediction model; s4, constructing and calibrating a steel bar corrosion electrochemical parameter forward modeling model; and S5, constructing an inversion framework fusing a particle swarm optimization algorithm, a simulated annealing algorithm and an Adam optimization algorithm, forming closed-loop cooperation by the particle swarm optimization algorithm, the simulated annealing algorithm and the Adam optimization algorithm so as to minimize an error between a target electrochemical response parameter and a theoretical electrochemical response parameter, and outputting an inversion result. According to the method, through organic combination of time sequence prediction and multi-algorithm cooperation, the problems that a traditional inversion method is low in precision and poor in stability are solved, and a reliable technical means is provided for reinforced concrete structure health monitoring.

The invention discloses an oil product deterioration intelligent analysis and operation and maintenance evaluation system of power plant host equipment, and relates to the technical field of state monitoring and fault prediction of power plant key equipment. Comprising a multi-mode sensing module, an edge preprocessing unit, a dynamic reference model building module, a residual analysis engine, a mirror image diagnosis engine, a fault tracing module and a self-evolution digital twin platform, the device is used for collecting physical characteristic parameters, pollution state parameters, electrochemical characteristic parameters and wear information parameters of oil in real time. According to the oil degradation intelligent analysis and operation and maintenance evaluation system of the power plant host equipment, high-precision real-time monitoring of multiple parameters of the oil state is achieved, environment interference data are effectively recognized and filtered, the accuracy and reliability of fault diagnosis are ensured, the recognition time of the abnormal state of the equipment is advanced, and the false alarm condition is effectively controlled.

The invention discloses a heat dissipation control method and device for a single-phase immersed liquid cooling charging pile and a medium, and relates to the technical field of battery thermal management, and the method comprises the steps: carrying out the high-precision scanning and dynamic feature extraction of a built-in fiber grating array of a cold plate according to a partition flow control signal, and obtaining a temperature field matrix and a dynamic thermal feature set; performing multi-dimensional fusion analysis and electrochemical coupling analysis on the temperature field matrix and the dynamic thermal feature set to generate a thermal coupling parameter set; performing real-time risk quantitative evaluation and risk topological mapping on the thermal coupling parameter set, and outputting a risk topological data set; and performing cooling intensity dynamic modulation according to the risk topology data set, and obtaining a partition flow redistribution instruction. According to the invention, fine monitoring of the cold plate-battery interface contact thermal resistance is realized through a high-precision pressure field reconstruction technology, the accuracy and reliability of pressure distribution detection are significantly improved, and the local overheating risk caused by an assembly gap is effectively eliminated.

The invention discloses a multi-scale synergistically enhanced self-healing solid polymer electrolyte and a preparation method thereof, and belongs to the technical field of electrolyte materials. The preparation method of the electrolyte comprises the following steps: S1, adding the eight-arm star polymer, the carborane lithium salt, the neutral plastic crystal additive, the ionic liquid monomer and the crown ether functionalized boron alkene two-dimensional filler into a mixed solvent to form electrolyte slurry; s2, uniformly coating a base material with the electrolyte slurry to form a wet film, and drying the wet film; s3, transferring the dried membrane to an environment filled with inert gas, and initiating in-situ polymerization of an ionic liquid monomer by using ultraviolet irradiation to form a polyionic liquid nanofiber network; and S4, placing the membrane under a vacuum condition at a constant temperature of 120 DEG C for 5 hours to obtain the solid polymer electrolyte membrane. The solid polymer electrolyte membrane provided by the invention overcomes the problems of low ionic conductivity, low lithium ion transference number, insufficient mechanical properties, poor interface stability, narrow electrochemical window and the like of the existing solid polymer electrolyte.

The invention relates to the technical field of fuel cell control, and discloses a control method of a hydrogen fuel system controller, which comprises the following steps: in response to a system shutdown instruction, controlling a DC / DC converter to maintain operation and request a preset scavenging current, and consuming residual reaction gas in a flow channel and a pipeline by using an electrochemical power generation reaction in an electric pile; meanwhile, hydrogen-cut air-down operation is executed, and the average single voltage of the electric pile is collected in real time; when it is monitored that the average monomer voltage is reduced to be below a preset anti-corrosion safety threshold value, the DC / DC converter is controlled to be disconnected, and mechanical purging is started. A time sequence interlocking mechanism of electrochemical energy depletion and mechanical purging is established, a high-potential retention path in the shutdown process is blocked from the physical and chemical source, and the safety of the shutdown is improved. Reverse polarity corrosion caused by a hydrogen-air interface effect is avoided, and the service life of the galvanic pile is prolonged.

The invention discloses a biosynthetic bacterial cellulose-based solid electrolyte as well as a preparation method and application thereof, and belongs to the technical field of solid electrolytes. The solid electrolyte is prepared by taking modified bacterial cellulose prepared by fermenting acetobacter xylinum, rhizobium, pseudomonas, azospirillum, alcaligenes and other bacteria as a substrate, introducing a low-molecular-weight polymer to regulate and control the arrangement of cellulose molecular chains to serve as a conductive ion framework, and then compounding a conductive ion high-molecular-weight polymer and a lithium salt. According to the invention, cellulose molecular chains are modified by modified glucose, and a network structure is regulated and controlled by a low-molecular-weight polymer, so that the problems of small spacing, lack of ion coordination sites and weak ion transmission capability of pure cellulose molecular chains are effectively solved, the ionic conductivity of the prepared solid electrolyte can reach 10 <-4 > S cm <-1 >, the electrochemical window width reaches 5V, and the solid electrolyte has a good application prospect. The material can tolerate high critical current density, is suitable for various positive electrode materials, and is suitable for high-voltage and long-cycle-life energy storage devices.

The invention relates to the technical field of electrical performance monitoring, in particular to an electrochemical energy storage residual life estimation method and system. According to the method, by applying multi-stage voltage step excitation and capturing the maximum offset of the instantaneous current, the high-sensitivity characteristic reflecting the electrochemical dynamic characteristic in the energy storage monomer can be obtained, the limitation that a traditional method depends on the hysteresis index of capacity fading for evaluation is avoided, early insight of performance change is achieved, and meanwhile, the performance of the energy storage monomer is improved. The environment temperature is collected in real time, the preset correction coefficient is used for correcting the dynamic response characteristics, the interference of working temperature fluctuation on performance evaluation is effectively stripped, the consistency and comparability of characteristic data under different environment conditions are ensured, and then the deviation spectrum of the performance characteristics evolved along with time is constructed, so that the performance evaluation accuracy is improved. And the change sequences which are continuous and consistent in direction are specially identified, the irreversible decline trend caused by internal aging is accurately locked, and the influence of random noise and short-term fluctuation is filtered.

The invention belongs to the technical field of electrode foil formation treatment, and particularly relates to an electrode foil and a preparation method thereof and an aluminum electrolytic capacitor, the preparation method of the electrode foil comprises the steps of performing multi-stage formation treatment on a corrosion foil, the number of stages of the formation treatment is at least two, and the formation treatment at least comprises first-stage formation and second-stage formation, first heat treatment is carried out after the second-stage formation; a formation liquid used in the second-stage formation is a mixed solution containing adipate and monopotassium phosphate. According to the preparation method provided by the invention, the formation liquid used in secondary formation is the mixed solution containing adipate and monopotassium phosphate, the limitation of traditional single formation liquid is broken through, and synchronous optimization of the structure, hydration resistance and electrochemical performance of the aluminum oxide film is realized through multi-stage formation, mixed solution synergy and the synergistic effect of formation and heat treatment; meanwhile, production cost is reduced, and environmental load is relieved.

The invention provides a carbon emission management monitoring method and device for rice planting in a cold region, and relates to the technical field of carbon emission management monitoring. Vertical three-layer parameters of a soil profile, namely the surface methane concentration, the middle oxidation-reduction potential and the deep organic acid concentration, are collected; the method comprises the following steps: mapping a middle-layer potential into an inhibition coefficient according to a microbial electrochemical principle, further calculating potential uplink electron flux and actual downlink electron sedimentation intensity, identifying an electron transport chain breakage risk through a residual error of the potential uplink electron flux and the actual downlink electron sedimentation intensity, and carrying out nonlinear fusion on the electron transport residual error and environment weights of all layers by adopting a p-norm model. Through the risk amplification coefficient, the superlinear conduction of the local risk to the whole system is realized, the dominant risk layer is accurately positioned based on the comprehensive weight, the differential field management strategy is automatically generated, and finally the closed-loop intelligent management normal form is constructed, and the accurate control of the carbon emission based on the mechanism model is realized.

The invention relates to the technical field of new energy automobile and battery safety, and discloses a power battery thermal runaway risk early warning method, which comprises the following steps: synchronously acquiring battery internal resistance dynamic change, characteristic gas concentration and temperature gradient distribution through a multi-physics field coupling sensor network, and constructing an electrochemical-thermal-gas ternary early criterion; the internal resistance mutation rate is calculated through self-adaptive sliding window differential, the gas precipitation rate and the temperature space heterogeneity index are combined and input into a multi-branch fusion neural network containing a gating attention mechanism, the continuous thermal runaway risk probability is output, and corresponding early warning is triggered according to grading threshold values. The system comprises an internal resistance, gas and temperature monitoring module and a multi-modal fusion evaluation and grading early warning execution module. According to the method, the traditional early warning logic singly depending on a temperature threshold value is abandoned, a ternary early criterion system with the internal resistance abrupt change rate, the characteristic gas precipitation rate and the temperature space heterogeneity index as the core is constructed for the first time, and electrochemical and physical field anomalies caused by thermal runaway precursor events such as lithium dendrite piercing of a diaphragm and SEI membrane rupture can be effectively captured.

The invention discloses a printing and dyeing wastewater zero-discharge treatment process based on low-pressure high-power membrane concentration and salt separation synergy. The wastewater is sequentially subjected to the steps of double-alkali softening pretreatment, organic pollutant treatment, forward osmosis low-pressure high-power concentration treatment, salt separation treatment and evaporative crystallization. Wherein the forward osmosis low-pressure high-power concentration treatment is performed in a partitioned manner along the flow direction, the osmotic pressure difference is gradually increased, the transmembrane pressure difference is gradually decreased, and interface electrochemical buffer and low-frequency gas-liquid disturbance can be set to inhibit concentration polarization and pollution. Carrying out nanofiltration and salt separation on the concentrated solution to obtain two paths of saline water mainly comprising Na2SO4 and NaCl, and respectively carrying out evaporative crystallization on the two paths of saline water; and refluxing and reusing the water produced by the draw solution. According to the process, high-power concentration and stable salt separation are realized under low mechanical pressure, the energy consumption is reduced, the water recovery rate and the crystal purity are improved, and zero discharge of wastewater is realized.

The invention discloses a battery carbon emission influence factor analysis method and device and a storage medium, and belongs to the technical field of data processing. Comprising the following steps: acquiring life cycle data of a battery at the current moment from a data source, constructing a knowledge fusion atlas database of the battery based on the life cycle data through an atlas construction model, generating a carbon emission prediction model according to the knowledge fusion atlas database, and predicting the carbon emission through a feature contribution degree analysis algorithm. Calculating a prediction contribution degree of each factor variable in the carbon emission prediction model, determining a target factor variable according to the prediction contribution degree, constructing a directed acyclic graph of the target factor variable based on a preset electrochemical constraint condition, and calculating conditional probability distribution of the electrochemical constraint condition in the directed acyclic graph, and forming a coupling relation model of the target factor variables, and calculating the sensitivity coefficient of the factor variables in the coupling relation model to the carbon emission. According to the method, the accuracy of the analysis result is improved by quantifying the sensitivity coefficient of each carbon emission factor under the coupling relationship.

The invention belongs to the technical field of electrochemical energy storage, and discloses a composite bipolar plate for a zinc-bromine flow battery and a preparation method thereof.The preparation method comprises the steps that carbon fibers, ketjen black and graphene dispersion liquid are stirred to be uniform, and a conductive carbon composite material is obtained; a binder, a dispersing agent and the conductive carbon composite material are subjected to ball milling, and a bipolar plate prefabricated material is obtained; carrying out melt blending on the bipolar plate prefabricated material, and extruding to obtain a substrate; and spraying the nitrogen-doped porous carbon material on the surface of a substrate, and performing hot pressing. The graphene, the carbon fibers and the ketjen black are stirred and compounded, the carbon fibers and the ketjen black enter the space between graphene sheet layers, and the ketjen black is attached to the surfaces of the carbon fibers and the graphene, so that the structure not only can prevent the graphene from generating a re-stacking effect in the mixing process, but also can form a'point-line-surface 'ternary interpenetrating high-conductivity network, so that the conductivity of the graphene is improved. According to the preparation method disclosed by the invention, the deposition uniformity of zinc is improved, so that the voltage efficiency and the cycling stability of the battery are improved.

The invention relates to a power battery performance degradation prediction method and system based on an electrochemical-thermal-mechanical-neural network model, and belongs to the technical field of battery management. According to the method, an enhanced single particle model considering liquid phase diffusion, an integrated thermal model, a particle mechanical stress model caused by concentration gradient and an aging mechanism model considering SEI growth, lithium precipitation and active material loss are coupled to establish ETMD, and based on the ETMD, the identification efficiency of aging model parameters is low aiming at the problem that a PSO algorithm is low. Under a circulating aging experiment of a limited path, the characteristic parameters of the aging model are obtained by using the feedforward neural network, and the parameters are substituted into the ETMD model again to predict the capacity, the power attenuation curve and the corresponding main attenuation mechanism under the current path, so that the prediction precision and the interpretability of the performance attenuation of the battery under the full path are improved. According to the method, the modeling capability of battery performance degradation under different working conditions can be effectively improved, and a theoretical basis and technical support are provided for residual life prediction and safety management of the power battery.

The invention relates to an integrated energy system optimization method considering a carbon emission reward and punishment mechanism and shared electrochemical energy storage, and the method comprises the following steps: carrying out the modeling of an integrated energy system which comprises energy supply, energy conversion, load and shared electrochemical energy storage; constructing a peak-flat-valley period stepped carbon emission mechanism considering the carbon emission difference of different energies and a dynamic carbon price factor, and determining a corresponding carbon transaction cost / reward according to the total carbon emission of the integrated energy system in a scheduling period; based on a capacity leasing and power service mechanism, modeling is carried out on the cost of the shared electrochemical energy storage mode; an optimization scheduling problem is constructed by taking system operation cost minimization and clean energy utilization rate improvement as targets; and solving the optimization scheduling problem to obtain an optimal output scheme and an energy storage charging and discharging strategy of each energy device in the integrated energy system, thereby realizing optimization of the integrated energy system.

The invention relates to a novel composite bipolar membrane for preparing low-carbon alcohol alkali metal salt and an electrodialysis process of the novel composite bipolar membrane, and belongs to the technical field of membrane separation and electrochemical synthesis. The composite bipolar membrane comprises a cation exchange layer, a middle catalyst layer and an anion exchange layer which are sequentially laminated and compounded, the process comprises the following steps: introducing a salt solution containing alkali metal ions into an anode chamber of a bipolar membrane electrodialysis system, and introducing a low-carbon alcohol solution into a cathode chamber; applying a direct-current electric field to the two sides of the composite bipolar membrane, so that the low-carbon alcohol is dissociated at the membrane interface to generate alkoxy ions and hydrogen ions; the alkoxy ions migrate to an anode chamber to be combined with the alkali metal ions to generate low-carbon alcohol alkali metal salt; the membrane material is high in adaptability, the membrane structure is good in stability, technological parameters are mature, and the system integration degree is high.

The invention relates to the technical field of electrochemical machining, in particular to an electroplate liquid additive automatic supply control method based on conductivity monitoring data. The method comprises the steps that the temperature, the original conductivity and the carbonate concentration of electroplating liquid are obtained, an activation energy coefficient is determined based on the change trend of the original conductivity and the temperature, dynamic thermodynamic decoupling treatment is conducted on the original conductivity, and the net conductivity of the electroplating liquid is generated; according to the cumulative variation of the net conductivity in the historical time period and the total amount of the additive in the historical time period, the transmission inertia factor of the electroplating liquid is calculated in combination with the carbonate concentration, and the retardation risk index is determined based on the evolution trend of the transmission inertia factor, so that a PID control algorithm is reconstructed, and the supply amount of the additive is obtained; and performing automatic replenishment control based on the replenishment amount. According to the method, the accuracy of automatic supply control is improved by evaluating the degradation state of the bath solution components and self-adaptive integral saturation suppression.

The invention discloses an automatic electrochemical experiment platform, and relates to the technical field of electrochemical experiments. The powder cylinder frame is suitable for placing a powder cylinder; the sample bottle box is suitable for placing a sample bottle; a solid sample adding device; the liquid sample adding device is communicated with the liquid reagent bottle; a dissolving assisting device; a sampling device; the micro-channel flowing electrolytic tank is communicated with the sampling device; the electrochemical measuring device is electrically connected with the micro-channel flow electrolytic tank; the mechanical arm is suitable for moving the sample bottle among the sample bottle box, the solid sample adding device, the liquid sample adding device, the dissolving assisting device and the sampling device and is suitable for moving the powder barrel between the powder barrel frame and the solid sample adding device. The automatic electrochemical experiment platform provided by the embodiment of the invention has the advantages of high automation degree, high experiment efficiency, convenience for realizing high-throughput and standardized experiment requirements and the like.

The invention relates to the technical field of pollution detection, in particular to a pollution assessment method, system, equipment and medium for a refuse landfill, and the method comprises the following steps: firstly, obtaining full-spectrum induced polarization data of the landfill to construct a stratum electrochemical attribute model; resolving a retardation factor distribution field by using the physical and chemical parameters of the pollution carrier and the model; constructing a Darcy velocity field in combination with hydrogeological parameters, and generating a pollution carrier migration velocity field through retardation factor correction; and finally, streamline tracing simulation is executed based on the velocity field, so that a target monitoring well coordinate and a risk early warning level are output. The technical problems that the dominant flow channel of the structural fracture is difficult to identify under the complex geology and evaluation distortion is caused by non-synchronous migration caused by the interface electrochemical action of the micro-nano carrier in the traditional method are solved; accurate positioning of the hidden leakage channel and accurate prediction of the penetration time are achieved, and the early warning capacity and the management and control efficiency of landfill environment risks are remarkably improved.

The present application relates to a hybrid membrane for an electrochemical device, the hybrid membrane comprising: a membrane layer comprising: a modified metal-organic framework (MOF) material wherein the modified MOF material is a MOF material modified with one or more of a lithium salt, a carboxylic acid, or an amino acid, and a binder material, the adhesive layer is used for adhering the modified MOF material to the porous supporting layer so as to form a film layer on the porous supporting layer; and the porous support layer is used for providing mechanical support for the membrane layer. The present application also relates to a method for preparing the hybrid membrane, an electrochemical device comprising the hybrid membrane and the use of the hybrid membrane for inhibiting Lewis acid by-products in an electrochemical device.

The invention discloses a real-time emergency prevention and control system and method for an electrochemical energy storage system based on digital twinning, and belongs to the field of energy storage safety. The system comprises a multi-source sensing unit, a digital twin deduction unit and a visual emergency decision unit. The sensing unit collects multi-source data to form a state vector; the deduction unit outputs a future thermal runaway evolution path containing a temperature field, a gas concentration field and a fire blast risk probability and uncertainty measurement thereof in real time through a pre-trained Gaussian process regression agent model; and the decision-making unit performs three-dimensional visual rendering, jointly determines a high-confidence risk area based on the risk level and the uncertainty level, and generates an emergency prevention and control instruction with accurate spatial positioning. The problems that in the prior art, disaster evolution paths cannot be predicted in real time, and prevention and control measures are extensive are solved, millisecond-level online deduction and accurate active prevention and control of the thermal runaway process are achieved, and the safety of an energy storage system is remarkably improved.

The invention discloses a gas analysis method and system for a gas source purification process, and relates to the technical field of gas detection and analysis. The method comprises the following steps: synchronously acquiring optical, electrochemical and conductivity detection signals in a gas source purification pipeline, and combining environmental parameters such as temperature, humidity and flow; carrying out filtering, anomaly elimination and normalization processing on the detection signal, constructing a multi-dimensional feature vector, and carrying out dimensionality reduction to obtain a principal component feature; and dynamically distributing weights through a self-adaptive weighted fusion model, and calculating a gas purification characteristic value. Establishing a drift prediction model based on historical data, inputting environmental parameters and operation duration to calculate a predicted drift amount, and correcting a gas purification characteristic value; when the drift distance exceeds a threshold value or reaches a calibration period, standard gas is introduced to detect the average response value of the drift distance, a calibration coefficient is calculated according to the concentration of the standard gas, the calibration coefficient is fed back and updated to the weighted fusion model and the drift prediction model, and self-correction and high-precision analysis of the gas purification process are achieved.

The invention relates to the technical field of electrochemical energy storage application, and discloses a load power prediction-based user side energy storage operation regulation method, which comprises the following steps of: acquiring load power and energy storage power in a sampling period, calculating a load prediction value at the end of a next period according to the initial load power and the end load power in the period, establishing a historical load extreme value database, and executing an asymmetric condition updating rule, namely, performing online correction on the database according to different comparison conditions in a charging mode and a discharging mode; an adjusting instruction is generated according to the capacity constraint of the transformer in the charging mode, and an adjusting instruction is generated according to the anti-countercurrent threshold constraint in the discharging mode. Preventive measures for two different operation risks of charging overload and discharging countercurrent are unified in a continuous control process with online self-learning capability according to system operation state switching adjustment reference and boundary conditions, and the economical efficiency and the safety of operation are both considered.

The invention relates to a preparation method of a high-lithium-affinity vinylene covalent organic framework material serving as a lithium metal negative electrode interface protective layer. The method comprises the following steps: firstly, by utilizing a simple hydrothermal synthesis method, taking 1, 3, 5-trimethyl-2, 4, 6-triazine (TMT) and 2, 2-bipyridine-5, 5-diformaldehyde (BPY) as monomers, and carrying out Aldol condensation reaction to synthesize a covalent organic framework material connected by a vinylene bond, which is named as viCOF-bpy; the electrochemical performance of the material is verified by modifying the surface of a copper pole piece with the viCOF-bpy material and then assembling a battery. The lithium-loving group on the material skeleton can promote the migration of lithium ions, and the vinylidene has very strong chemical stability, so that the electrochemical performance of the lithium metal battery can be effectively improved.