12545 results about "Electrochemistry" patented technology

Multiple enzymes may be present in one or more active areas of an electrochemical analyte sensor for detecting one or more different analytes. In particular, an analyte sensor may comprise a sensor tail configured for insertion into a tissue and one or more working electrodes having a glucose-responsive active area and an ethanol-responsive active area to detect glucose and ethanol in vivo.

According to the multi-parameter monitoring method and device for the material stress corrosion test, the flow rate, temperature and ion concentration of corrosive liquid are adjusted in real time through closed-loop control, and the real service environment of a material is simulated; in combination with a constant strain rate and constant load mixed loading mode, loading parameters are dynamically adjusted according to material failure and environment change, and the behavior of deviating from real failure is avoided. Electrochemical, mechanical and corrosion environment data are synchronously collected, a ridge regression algorithm is utilized to fuse multi-modal features, a Granger causal test and mutual information entropy are combined to analyze a corrosion-mechanical-environment interaction effect, and early-stage tiny damage is captured. And calculating the number of residual cycles, generating a three-dimensional probability cloud picture to quantify a failure risk level, and realizing dynamic regulation and control through a grading strategy instead of traditional fixed threshold judgment. According to the method, the real-time performance, the reliability and the automation level of stress corrosion testing are remarkably improved, and a systematic solution is provided for deep exploration of a material failure mechanism in a complex service environment.

The invention relates to the technical field of electrolytic refining, and provides an electrochemical device and method for extracting metal from molten salt. The electrochemical device comprises an anode, a cathode, an insulating container, an electrolytic bath and an ultrasonic stirring device. The cathode comprises a conductive part and liquid metal; the insulating container is provided with a containing space, the top side of the containing space is open, the liquid metal is contained in the containing space, and a part of the conductive part is inserted into the liquid metal; the electrolytic bath is provided with a containing cavity used for containing molten salt, the insulating container can be used for being immersed in the molten salt so that liquid metal can make contact with the molten salt, and one part of the anode is used for being inserted into the molten salt; a portion of the ultrasonic stirring device is inserted into the liquid metal for oscillating the liquid metal. The liquid metal is subjected to ultrasonic oscillation in the electrolysis process, so that the possibility that metal dendrites are formed on a reduction product or a high-melting-point alloy layer is formed on the surface of the liquid metal is effectively reduced, the reaction efficiency of electrolytic extraction is improved, and the quality of the extracted reduction product is improved.

The invention provides a lithium ion battery health state estimation method and system based on an electrochemical model, and relates to the technical field of battery health state estimation, and the method specifically comprises the steps: collecting key parameters of a lithium ion battery in real time, and calculating an open-circuit voltage through an electrochemical reaction kinetic formula; calculating a health index, calculating a temperature influence index according to a set optimal working temperature and a current working environment temperature mean value, and calculating an internal resistance influence index according to the battery capacity, the cycle index and the internal resistance data of the lithium ion battery; calculating a battery health score for reflecting the health state of the lithium ion battery to be tested according to the health index, the temperature influence index and the internal resistance influence index; and comparing the battery health score with a preset health assessment threshold, and assessing the health state of the lithium ion battery according to the comparison result, thereby providing a scientific battery health assessment mechanism.

Devices and methods to mitigate the erroneous signal imparted by physical and / or chemical process incident upon analyte-selective electrochemical sensors that are non-analyte-related in origin are disclosed herein. A sensing system featuring at least one of an analyte-selective sensor and at least one of an analyte-invariant sensor.

The invention relates to the technical field of soil pollution component analysis, and discloses an agricultural soil pollution prediction method. The method comprises the following steps: carrying out soil physicochemical property detection through layered gridding sampling, determining the heavy metal content, the organic matter content and the enzyme activity, and obtaining a pollution characteristic data set; monitoring diffusion characteristics of pollutants by adopting an electrochemical sensing detection array, and generating a migration rule model; a multi-parameter monitoring system is used for detecting the pH value, the oxidation-reduction potential and the ion activity, and a dynamic change sequence is formed; establishing a colloid interface action response matrix, and constructing a pollutant accumulation model; determining the occurrence form and the ion concentration of the pollutants, and generating an interaction map; and finally, constructing an early warning system, and outputting a prevention and control scheme. According to the invention, through cooperative application of multiple analysis and test means, and in combination with interface action mechanism research of pollutants in soil, whole-process intelligent monitoring of soil pollution prediction is realized.

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 provides a lithium-rich lithium ferrite material and a preparation method and application thereof, the lithium-rich lithium ferrite material comprises a core layer and a carbon coating layer, the core layer is doped lithium-rich lithium ferrite, the chemical formula of the doped lithium-rich lithium ferrite is Li < 5 > Fe < 1-x > Al < x > O < 4 >, and x is 0.003-0.030. The lithium-rich lithium ferrite material is high in structural stability and excellent in conductivity; as a lithium supplement additive of a positive electrode active material, the composite material can improve electrochemical performance such as high-temperature storage performance and normal-temperature cycle performance of a lithium ion battery.

The invention relates to the technical field of electrochemical energy storage, and discloses a method and a system for predicting the residual life of a battery of an electrochemical energy storage system. According to the method, multi-dimensional operation data such as temperature distribution, current ripples and voltage attenuation curves in the charge-discharge cycle process of a target battery pack are collected, and feature weight parameters are generated in combination with real-time working conditions and historical database matching results; a degradation characteristic mode in a full life cycle is extracted as a reference template, and a dynamic degradation characteristic space is established; constructing a multi-scale coupled life prediction model, and constructing an adaptive evaluation function by iteratively updating model parameters and reference template physical field coupling parameters; triggering cross-cycle data verification, and carrying out working condition compatibility verification; and generating a feedback matrix based on the prediction error index and the verification result, and dynamically adjusting the mapping relation between the feature weight and the reference template. The method improves the accuracy and adaptability of battery residual life prediction, and is suitable for an electrochemical energy storage system under complex working conditions.

The invention relates to the technical field of information, in particular to a method for detecting and monitoring the cleaning effect of a semiconductor wafer in real time in the technical field of semiconductor wafer manufacturing, which comprises the following steps: introducing a rapid chemical analysis technology, combining an electrochemical sensor and spectral analysis, monitoring metal ion residues on the surface of the wafer in real time, and shortening the detection period; instant feedback on a production line is realized; a real-time feedback control system is constructed, according to the output of the comprehensive evaluation model, the working parameters of the cleaning equipment are automatically adjusted, the cleaning process is optimized, and the usage amount of cleaning liquid and the environmental influence are reduced; an edge computing technology is integrated, data processing and analysis tasks are sunk to a cleaning equipment end, data transmission delay is reduced, and the response speed of real-time monitoring and feedback control is increased; a visual monitoring platform is developed, key parameters, detection results and prediction trends in the cleaning process are displayed in a graphical mode, and operators can conveniently master the cleaning state in real time and quickly respond to abnormal conditions.

The invention relates to the technical field of livestock breeding, in particular to a cow manure automatic scoring system and method.The cow manure automatic scoring system comprises an image acquisition unit, a physical property sensor, a chemical component detection module and a data processing unit.The image acquisition unit is used for capturing the form, color and fiber residue of manure; the physical property sensor is used for measuring the water content of excrement and evaluating the viscosity and hardness of the excrement; the chemical component detection module comprises a near infrared spectrum analysis unit and an electrochemical sensor unit; and the data processing unit is used for integrating an AI algorithm, realizing multi-source data fusion and scoring, and uploading the data to the cloud management platform through the communication module. Therefore, the problems that in the prior art, manual scoring is subjective, low in efficiency and difficult to quantify, diseases are difficult to find early due to the lack of rapid component detection means, and accurate nutrition regulation and control are difficult to achieve due to the fact that scoring data are difficult to integrate into a breeding system are solved.

The invention discloses an intelligent detection method for water pollutants, which comprises the following steps of: transmitting a signal of a specific frequency band to a water body through an electromagnetic wave transmitting module, acquiring reflected and refracted signals by using a multi-channel receiver, extracting the characteristics of dielectric constant, refractive index and the like of the water body, and analyzing the types and the concentration range of the pollutants by adopting a pattern recognition algorithm; the method comprises the following steps: selecting a micro-fluidic chip and an electrochemical unit, selecting a corresponding biosensor for targeted detection, processing detection data through the micro-fluidic chip and the electrochemical unit, predicting the concentration, spatial distribution and trend of pollutants through a data analysis module, setting a dynamic self-adaptive threshold by the system, realizing pollution early warning, and uploading data to a cloud platform through a remote communication module. And remote monitoring is supported. The method can be widely applied to the fields of water quality monitoring, environmental protection and pollution control, and the detection precision, the real-time performance and the intelligent level are improved.

The invention provides a single molecule detection device and method based on an electrochemical gating technology in a quantum tunneling region, and relates to a detection technology for regulating molecular energy level alignment and regulating molecular conductance through gate voltage, a functionalized tunneling electrode is prepared at the tip of a nano pipettor and is placed in a solution containing single molecules, and the electrochemical gating technology in the quantum tunneling region is used for detecting the single molecules in the nano pipettor. The gate potential and the bias voltage are dynamically adjusted, tunneling current signals flowing through the single molecule are recorded and analyzed in real time, the structure, the charge state and the energy state of the single molecule can be actively regulated and controlled, and dynamic detection of the single molecule is achieved according to the conductivity change spectrum of the single molecule under different potential conditions. And the single molecule detection precision based on the tunneling electrode is obviously improved.

The invention relates to a rabbit meat freshness detection method based on an electronic nose technology. The volatile gas release mode of the rabbit meat under different storage conditions including temperature, humidity and time is analyzed through experiments, and key putrefying gas including dimethylamine, hydrogen sulfide and aldehydes and the concentration change trend are recognized; a metal oxide semiconductor (MOS) or an electrochemical sensor matched with the gas is screened according to the identified main decay gas, and a sensitive material means comprising a tin oxide thin film doped with platinum is optimized; a response matrix of different sensors to target gas is established through experiments, and a multi-sensor signal fusion algorithm is optimized; a temperature and humidity sensor is introduced, and environmental noise correction is performed in combination with odor signals; adopting a convolutional neural network feature extraction method to extract nonlinear features associated with the rabbit meat decay stage; docking the extracted smell features with the dynamic distribution model, and unifying the quantization dimension through a feature standardization algorithm; and correcting the predicted corruption trend in real time in combination with a smell distribution dynamic model.

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 relates to the technical field of performance testing, in particular to an electrochemical performance testing system and method for an energy storage device, and the system comprises a time synchronization triggering module, an impedance track acquisition module, a degradation state recognition module, an electrochemical abnormity monitoring module and a performance testing judgment module. According to the invention, multi-channel concurrent synchronous acquisition of voltage, current, impedance and temperature is realized by calculating sampling delay compensation time, and lithium precipitation, micro short circuit and electrode interface damage trend can be accurately identified by calculating a gradient absolute difference sequence of a voltage change rate and a current change rate and linking an impedance abrupt change rate and short-period abnormal fluctuation. In the process of judging the state of the energy storage device, open-circuit voltage distribution, charging and discharging current stability and impedance change trend are considered in a combined manner, the recognition accuracy of an active state, a degradation state and an abnormal state is improved, and the precision and reliability of electrochemical performance testing are improved.

The invention relates to the technical field of water quality detection, and discloses a water quality detection method and device based on an electrochemical sensor. The method comprises the following steps: deploying a multi-depth electrochemical sensor array in a target water body according to different water depth positions and carrying out real-time monitoring to obtain electrochemical response signal data; performing electrochemical fingerprint feature recognition on the electrochemical response signal data to obtain electrochemical feature vectors of water sample pollutants at different water depth positions; carrying out pollutant analysis through a hierarchical electrochemical transfer-attention network model to obtain types and concentrations of heavy metal ions and organic pollutants in water samples at different water depth positions; and executing Kriging space interpolation and environmental factor correction to generate a three-dimensional pollutant distribution dynamic map of the target water body. According to the method, high-precision identification of low-concentration multi-component coexisting pollutants is realized, and visual analysis of spatial distribution characteristics and migration rules of water pollutants is realized.

The invention discloses a self-powered biosensor for double-signal detection of sugarcane pokkah boeng disease, the self-powered biosensor comprises an anode, a cathode and an electrolyte, the anode is a CuCo-MOF / AuNPs / GOD biological anode, the cathode is a CuCo-MOF / AuNPs / DNA chain biosensor, and the electrolyte comprises glucose, MB and a PBS buffer solution. According to the self-powered biosensor, analysis is carried out through two non-interfering modes of electrochemical detection and colorimetric detection, and whether a detection result is a false positive signal or not can be effectively verified. An external power supply is not needed, and real-time outdoor detection can be realized. The material source is wide, the assembly process is simple, and accurate and rapid detection can be realized. The method has the advantages of high sensitivity, good selectivity and real-time detection, and can be used for accurately detecting the sugarcane pokkah boeng rot.

The invention belongs to the technical field of gas turbine maintenance, and particularly relates to a solid-state repair method for a hot-end component of a gas turbine, which comprises the following steps: S1, acquiring damage information of the surface of a to-be-repaired matrix; s2, roughening treatment is conducted on a damaged area on the surface of the to-be-repaired base body, and electrochemical activation treatment is conducted on the roughened damaged area; s3, supersonic speed cold spraying treatment is conducted on the treated damaged area, and gradient materials are deposited on the damaged area layer by layer till a compact repairing layer is deposited on the surface of the base body; s4, selective laser remelting treatment is conducted on the compact repairing layer of the damaged area; s5, carrying out laser shock on the dense repair layer subjected to the remelting treatment; and S6, the base body subjected to laser shock treatment is machined till the standard geometric dimension of the base body is recovered. The method can solve the problems of large heat input, matrix damage, insufficient bonding strength and the like in the process of repairing the damaged area of the matrix in the traditional hot working technology.

The invention relates to the field of hydrogen leakage and combustion detection, and discloses a hydrogen leakage and combustion identification method, which comprises the following steps: S1, collecting multiple types of detection signals from acoustic, electrochemical and infrared thermal image sensors; s2, preprocessing the collected signals to generate a multi-dimensional feature space; s3, constructing a topological structure in the multi-dimensional feature space, extracting topological features, and generating topological descriptors; s4, analyzing the time dynamic change of the topology descriptor based on a Markov chain model; s5, calculating the topological similarity between the real-time signal and the known mode, and carrying out mode matching; and S6, calculating a signal state through a comprehensive decision function, judging whether a hydrogen leakage or combustion event exists, and triggering a corresponding alarm. According to the invention, through multi-sensor cooperative monitoring, signal preprocessing, topological structure analysis and dynamic modeling, high-precision real-time monitoring and reliable alarm of hydrogen leakage and combustion are realized, and the system has the advantages of high sensitivity, low missing report rate and rapid response.

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.

The invention provides an online monitoring method for product quality in a solid waste recycling process, and belongs to the technical field of solid waste recycling. A parameter acquisition system is constructed to synchronously acquire a multi-parameter matrix, a sampling rate determination function is applied to realize dynamic adjustment of a sampling frequency, and a solid waste component migration equation is utilized to analyze a substance conversion rule; a spectrum fusion optimization function is used for processing various spectrum data, an FWM model is used for achieving product quality multi-dimensional evaluation, the heavy metal content is monitored in combination with an electrochemical sensor network, a comprehensive quality evaluation result is finally formed, an updating sampling rate is output through the FWM model, a function weight coefficient is determined, online monitoring closed-loop control is formed, and the comprehensive quality evaluation result is obtained. Real-time, accurate and comprehensive monitoring of the quality of solid waste recycling products is realized, the problem of key process transition point data missing caused by fixed frequency sampling is effectively solved, and reliable technical support is provided for optimization of the solid waste recycling process.

Herein discussed is a hydrogen production system comprising a first reactor zone and a second reactor zone, wherein both reactor zones comprise an ionically conducting membrane, wherein the first zone is capable of reforming a hydrocarbon electrochemically and the second zone is capable of performing water gas shift reactions electrochemically, wherein the electrochemical reforming reactions involve the exchange of an ion through the membrane to oxidize the hydrocarbon and wherein electrochemical water gas shift reactions involve the exchange of an ion through the membrane and include forward water gas shift reactions, or reverse water gas shift reactions, or both. In an embodiment, the membrane is mixed conducting. In an embodiment, the membrane comprises an electronically conducting phase and an ionically conducting phase.

The invention belongs to the technical field of new energy, and discloses a preparation method and application of a LiaMXb-based composite solid electrolyte membrane, and the preparation method comprises the following steps: S1, carrying out spray drying on a mixed solution in which a Li source, an M source and an ammonium salt are dissolved, placing the mixed solution in a crucible of which the bottom is paved with the ammonium salt, and annealing for 2-10 hours at 350-800 DEG C in an inert atmosphere to obtain a LiaMXb solid electrolyte; s2, mixing the LiaMXb solid electrolyte with a fluorine-containing monomer A and a dispersing agent, and performing spray drying to obtain electrolyte powder wrapped by the fluorine-containing monomer A; s3, ball-milling and uniformly mixing the electrolyte powder wrapped by the fluorine-containing monomer A, a lithium salt, a thermal curing agent and a monomer B in an inert atmosphere to obtain composite electrolyte powder; and S4, carrying out cold isostatic pressing and hot pressing curing on the composite electrolyte powder to prepare the LiaMXb-based composite solid electrolyte membrane. The prepared LiaMXb-based composite solid electrolyte membrane not only has excellent air stability, flexibility and machinability, but also has a continuous three-dimensional ion conduction path, and the assembled all-solid-state lithium battery has good electrochemical performance.

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 relates to the technical field of analysis of physical and chemical properties of soil, in particular to a dry farming soil fertility rapid detection and fertility improvement method, which comprises the following steps: sorting a colloidal phase and a dissolved phase of a humic acid complex based on density difference and dielectric property difference through a gradient centrifugation and dielectrophoresis enriched physical field synergistic separation technology; a two-channel detection time sequence is optimized by adopting a genetic algorithm, a non-overlapping time sequence signal flow is generated by taking a signal interference suppression ratio as a fitness function, and time domain cross interference is suppressed. A programmable resistance-capacitance compensation model is constructed, parallel capacitor array parameters are dynamically adjusted to correct electrochemical phase angle offset, and a three-dimensional fertility distribution curved surface and a residual map are generated in combination with a Kriging interpolation model. On the basis of residual spectrum spatial distribution characteristics, a cross-linked slow-release system is deployed to improve the organic matter binding capacity of a humic acid deficiency area, a mesoporous zeolite-based passivator is applied to regulate and control an ion migration path, a closed-loop feedback mechanism is formed through dynamic phase response monitoring, and accurate detection and directional remediation of soil fertility are achieved.

The invention discloses a corrosion monitoring and evaluating method and device for a storage environment. The method comprises the following steps: acquiring a corrosion monitoring information set of the storage environment; the corrosion monitoring information set comprises a resistance ratio sequence, a corroded quantity sequence, a quartz crystal oscillation frequency value sequence, an electrochemical impedance module value sequence, a wettability sequence and a corrosion rate value sequence; performing data preprocessing on the corrosion monitoring information set to obtain a preprocessed corrosion monitoring information set; and performing corrosion monitoring evaluation processing on the preprocessed corrosion monitoring information set to obtain corrosion monitoring evaluation result information.

The invention relates to the field of battery materials, in particular to a battery cell and an electrochemical device comprising the battery cell, the battery cell comprises a positive pole piece, a negative pole piece, electrolyte and a diaphragm located between the positive pole piece and the negative pole piece; the diaphragm comprises a first coating and a second coating of a base membrane, the first coating is located on the surface of one side of the base membrane and faces the positive pole piece, the second coating is located on the surface of the other side of the base membrane and faces the negative pole piece, and the first coating and the second coating both comprise a first element and a second element; the difference between the mass content ratio b of the first element to the second element on the surface of the second coating and the mass content ratio a of the first element to the second element on the surface of the first coating is controlled to meet a certain range, so that the battery has long circulation and excellent thermal safety performance.

The invention belongs to the technical field of aqueous zinc ion batteries, and discloses a zinc ion battery gel electrolyte as well as a preparation method and application thereof. The preparation method of the zinc ion battery gel electrolyte comprises the following steps: adding a propylene derivative and cellulose into an electrolyte solution, and uniformly stirring to obtain a solution A; adding inorganic nanoparticles into the solution A, and uniformly dispersing to obtain a solution B; and adding an initiator and a cross-linking agent into the solution B, uniformly stirring, defoaming, and polymerizing in a mold to obtain the zinc ion battery gel electrolyte. The gel electrolyte is simple in preparation method and low in cost, has good mechanical performance, corrosion resistance, electrochemical performance and cycling stability, can stably circulate for more than 1000 hours after being assembled into the zinc ion battery, is a gel electrolyte with high safety and efficient stability, and has an important application prospect in the zinc ion battery.