132results about How to "Help build" patented technology

The invention relates to the field of knowledge extraction and particularly relates to a knowledge extraction method and system based on a memory neural network and a device. The invention aims to solve the problem of information redundancy existing in the prior art. The method comprises a step of obtaining a possible relationship type in an input text and a semantic coding vector by using a convolutional neural network under the premise of giving a predefined relationship type, a step of carrying out semantic encoding by using a two-way long and short time memory neural network and obtaininga semantic vector, a step of taking the relationship type as an initial value of the two-way long and short time memory network and a first label in a decoding module and thus fusing the relationshiptype information into encoding information and label information of the decoding module, and a step of obtaining a label sequence by using a decoding module of a single-way long and short time memorynetwork and then obtaining structured information by parsing the label sequence. According to the knowledge extraction method and system and the device, the efficiency of structured information extraction is greatly improved, and the problem of information redundancy existing in the prior art is solved.

The invention discloses a thermally activated delayed fluorescence material, which has a structure shown as formula I in the specification. In the formula I, a maximum of two of R1-R5 are H, and the balance are electron-donating groups. The molecular formula of the thermally activated delayed fluorescence material contains one cyano group and at most two H, and the balance are electron-donating groups. The structure has the advantages that: 1) single cyano group has weak electron-withdrawing ability, wider band gap (2.5ev-3.5ev) materials can be obtained, thus being conducive to construction of blue-light emitting materials; 2) single cyano material has shallower LUMO energy level (about 2.7eV), and has weaker dependence on the main material; and 3) the raw material synthesis is easier, and the price is cheaper.

The invention discloses a method and a composition for controlling vehicles at any time. The composition is characterized by comprising a vehicle information acquisition terminal, a background data monitoring command center, an authorization monitoring platform and a monitoring device network. The method and the composition have the advantages that monitoring devices of various networked points are integrated via the wireless network by the aid of the background data monitoring command center and the regional hierarchical authorization monitoring platform and are movably and temporarily arranged, so that the vehicles can be monitored and managed in a unified and sectioned manner; structural arrangement is reasonable and simple and is easy to implement, resources are sufficiently utilized to check information of the vehicles and information of driving and passenger personnel, accordingly, the positions and the running directions of the vehicles can be controlled at any time, shortcomings in the prior art can be overcome by the aid of the method and the composition in the innovative and unique scheme, and practical effects can be realized for building civilized harmonious societies.

The invention discloses a method and a system for managing central air-conditioning end equipment of a teaching building based on a schedule. The method comprises a step of performing classification management on the central air-conditioning end equipment of classrooms through arrangement of the schedule, namely turning on air-conditioning end equipment in classrooms where students have classes in advance and removing the control authority of the air-conditioning end equipment; and counting the number of students in classrooms where students do not have classes by a video identification technology, and scientifically and reasonably planning and arranging the central air-conditioning end equipment in all classrooms where students do not have classes in the whole building. The system for managing the central air-conditioning end equipment can be applied to the teaching building, so that the phenomenon of energy wastage of the air-conditioning equipment of the teaching building can be effectively avoided, energy burden of schools is lightened, and the construction of green campuses is facilitated; and meanwhile, authorization management departments at different levels can remotely monitor the air-conditioning equipment in different areas on network nodes through a network and remotely regulate and control the areas where the air-conditioning equipment is unreasonably used, so that the aim of saving energy can be fulfilled.

The invention provides an internet of vehicles application system based on a cloud computing technology and a control method thereof. Firstly, vehicle state data is collected in real time by use of amina framework and a Kafka technology, then data is stored by combining an HBase distributed database, a redis memory database and a traditional MySQL relation type database, and finally, an analysisresult is obtained by analyzing the data stored in the databases by use of a universal calculation framework spark for cluster calculation. An optimal vehicle use scheme is provided. Related problemsof vehicle use are solved, and the use efficiency of vehicles is improved. The internet of vehicles application system based on the cloud computing technology is an intelligent traffic system.

The invention discloses a side-chain bis(sulphonyl)imide grafted polyimide single-ion conductive polymer, and a synthesis method and application thereof. The room temperature ionic conductivity of a polymer electrolyte membrane formed by blending the polymer and PVDF-HFP is 0.10mS.cm<-1>, and the maximum tensile strength at a dry state is 15.5MPa; and serving as an electrolyte / membrane for a gel-type lithium metal polymer secondary battery, the polymer electrolyte membrane shows excellent electrochemical stability.

The invention discloses an electric equipment management method and an electric equipment management system of a classroom based on an intelligent video identification technology. The method comprises the steps of: collecting a video image which is not in a class classroom through a video collecting device, then conveying the video image to a remote server to judge and analyze so as to determine whether the electric equipment control permission of the classroom or an electric equipment control area in the classroom is released, and transmitting a control instruction to an air-conditioning node device or a lamp node device by the remote server through a field control network, thereby achieving the purpose of saving electricity. The electric equipment management system of the classroom is applied to a teaching building; the energy source waste of the electric equipment in the teaching building of a school can be effectively reduced; and the energy burden of the school is reduced, and the construction of a green campus is facilitated. Meanwhile, each authorization management department can remotely monitor the electric equipments in different areas on the network node through the field control network, and scientifically can utilize various electric equipments, so as to achieve the purpose of saving the energy source.

A system for realizing rapid vulnerability sensing, locating and verifying comprises a vulnerability sensing module. The vulnerability sensing module comprises: a vulnerability information collectinglayer, wherein the vulnerability information is obtained from a vulnerability information source through a vulnerability information collecting technology; a vulnerability information pre-processing layer, which pre-processes the vulnerability information obtained by the vulnerability information collection layer and sends the vulnerability information into the vulnerability data storage layer according to the processing result; and a vulnerability data storage layer, which stores processed vulnerability information in the vulnerability database. The invention provides a method and a system for quickly sensing, locating and verifying vulnerability, which can quickly and reliably perceive vulnerability information, and can carry out the locating and verifying of vulnerability according to the vulnerability perceiving result.

The invention provides an inorganic nano-composite anion exchange membrane and a preparation method thereof. According to the preparation method, the nano-composite anion exchange membrane is prepared by taking graphene oxide as an inorganic component and alkaline-functionalized polyphenyl ether bromide as an organic component. Due to the property of the two-dimensional layer shape of graphene oxide, regular communicated ion channels can be conveniently constructed and the conduction rate of the anion exchange membrane can be increased; meanwhile, graphene oxide is very high in strength, and due to the addition of graphene oxide, the mechanical property of the anion exchange membrane can be greatly improved; in addition, graphene oxide is very high in specific surface area, so that an effect can be generated under the condition that a very small amount of graphene oxide is added. Therefore, the nano-composite anion exchange membrane is relatively low in preparation cost, and the preparation method is simple, easy to perform and convenient for large-scale production.

The invention discloses a building three-dimensional laser point cloud feature extraction method based on the assistance of three-dimensional laser scanning system / digital camera images. A three-dimensional laser scanning system and a digital camera are adopted to obtain building three-dimensional laser point cloud data and obtain three-dimensional laser scanning system / digital camera high-resolution image data; building three-dimensional laser point cloud is precisely registered with three-dimensional laser scanning system / digital camera images, so that the corresponding relations of three-dimensional laser points and image pixels in the space can be obtained; an LSD (line segment detector) algorithm is adopted to carry out feature extraction on the image data, so that a building image feature graph can be obtained; feature extraction is performed on the building three-dimensional laser point cloud; optimization processing is performed on extracted initial three-dimensional laser point cloud features based on an RANSCA (random sample consensus) algorithm; and building three-dimensional laser point cloud features can be obtained. With the building three-dimensional laser point cloud feature extraction method of the invention adopted, the fine degree and accuracy of three-dimensional laser point cloud feature extraction can be improved, the construction of a building model can be favored, and more practical problems in the production field can solved. The method of the invention has a great theoretical reference value for the development of digital urbanization and the construction of a BIM (building information model).

The present invention discloses an organic electroluminescent device, and the device comprises a light emitting layer comprising a main material and dye, wherein the doping mass concentration of the dye in the light emitting layer is 1% - 60%. At least one of the dye and the main material has the compound which has the structure shown in the formula I (shown in the description), wherein at most two of R1-R5 are H, and the others are electron-donating groups. The light emitting layer employs a brand-new thermal activation delay fluorescent material, and the single triplet energy level of the material is less than 0.3eV. The material can effectively emit delayed fluorescence, and is high in photoluminescence efficiency. Meanwhile, the material is good in stability, so a high-efficiency and long-service-life thermal activation delay fluorescent device can be obtained.

The invention discloses an urban road rainwater regulation and storage system. The system comprises a water permeable pavement (1), and a grass planting furrow (2) and a water permeable side pavement (3), wherein the grass planting furrow (2) and the water permeable side pavement (3), and the water permeable pavement (1) are sequentially arranged in parallel; the water permeable pavement (1) comprises a foundation layer (11) and a water permeable asphalt surface layer (12), which are laid in sequence from bottom to top; the water permeable side pavement (3) comprises water permeable bricks (31) laid on the surface of the water permeable side pavement (3). According to the rainwater regulation and storage system disclosed by the invention, the water permeable pavement, the water permeable side pavement and the grass planting furrow between the water permeable pavement and the water permeable side pavement form the enhancing effects of purifying, filtering, regulating and storing ground surface rainwater, and the rainwater is effectively controlled and utilized, so that a sponge city is easily constructed; meanwhile, the rainwater regulation and storage system also has an afforestation landscape effect.

The invention belongs to the technical field of poultry breeding, and particularly relates to a cage chicken health condition automatic monitoring ball wheel trolley and a monitoring method. The cagechicken health condition automatic monitoring ball wheel trolley comprises a movable trolley. The trolley is provided with a telescopic rod. An image capturing probe and a thermal imaging probe are arranged at the top of the telescopic rod. The output ends of the image capturing probe and the thermal imaging probe are electrically connected with an image processing module. The output end of the image processing module is electrically connected with a display module and an alarm. Four hemispherical slots are expanded in the front, rear, left and right directions of the trolley. A steel ball isplaced in each hemispherical slot. A cylindrical shell region is arranged on the upper end of each hemispherical slot. An electromagnetic chuck is arranged in each cylindrical shell region. Four corners of the trolley are provided with 45-degree open regions. Fan blades are arranged in each 45-degree open region. The fan blades are connected with direct current gear motors which drive fans to rotate. According to the invention, the trolley can rapidly and automatically complete the health patrol of large-scale cage chickens; missed inspection of manual patrol is effectively avoided; and laborforce is liberated.

The present invention discloses a self-service dynamic double-layer garage which realizes that an automobile can be lifted and translated to an upper layer of the double-layer garage on an automobile carrying platform through the own power drive of the automobile, belonging to the garage construction field. The garage is characterized in that: the rotation power of a lifting and translation movement mechanism of the garage is realized by that: drive wheels of the automobile are arranged on the automobile carrying platform of a lifting-translating mechanism of the parking garage in a rolling friction-rotation mode; a pair of rolling friction rollers with a certain distance apart, which is arranged on the automobile carrying platform, rotates synchronously in the same direction; the rotation power of the rolling friction rollers is in transmission connection to the lifting-translating mechanism of the garage for working, so as to realize the double-layer parking effect of the automobile without depending on electrical power drive. The present invention puts forward a feasible solution to the prior social problem of parking difficulty; subsurface layers, overhead layer garages and parking places under the existing condition of inconvenient power utilization can also take full advantage of space resources thereof; reconstruction is implemented with small investment to realize the doubling of parking amount, so as to relieve the problem of parking difficulty. The self-service dynamic double-layer garage has great practical value and social benefit.

The invention relates to an AGV-containing personalized customization flexible job shop scheduling method. The method comprises the steps that: an AGV-containing personalized customization flexible job shop industrial Internet of Things framework is established; a scheduling target and parameters are set; in the production process, a workpiece produced by a workshop sends a logistics demand instruction to a cloud computing platform, and an AGV receives the logistics demand instruction forwarded by the cloud computing platform, selects the logistics demand instruction with the highest priorityaccording to a priority rule, and plans a production plan corresponding to the workpiece; and a machining unit carries out workpiece machining according to the production plan, the machined workpieceis placed in a workpiece buffer area, and the AGV extracts the workpiece from the buffer area according to the plan. According to the invention, construction of an unmanned intelligent factory is facilitated; an efficient cooperation method of production equipment and logistics equipment is realized; AGV-containing personalized customization flexible job shop scheduling requirements can be met, and the AGV-containing personalized customization flexible job shop scheduling method has certain advantages in the aspects of advance / delay cost, equipment utilization rate and energy consumption compared with a traditional scheduling rule.

The present invention discloses a renewable energy project investment portfolio optimization method, a renewable energy project investment portfolio optimization device and a computing apparatus. The method includes the following steps that: a first multi-stage stochastic programming investment model is established, wherein the first multi-stage stochastic programming investment model comprises an objective function which is established for realizing a maximum project investment benefit expectation; a model reconstruction function is obtained according to a project investment decision making constraint; the model reconstruction function is substituted into the objective function of the first multi-stage stochastic programming investment model, so that a second multi-stage stochastic programming investment model can be generated; discretization is performed on a continuous stochastic process in the second multi-stage stochastic programming investment model, and stepwise iterative analysis is performed so as to calculate an optimal solution; and a renewable energy project investment portfolio enabling the highest benefit expectation is obtained according to the optimal solution.

The invention discloses a conducting material doped PDMS composite film capable of improving the longitudinal electric charge density of a generator frictional layer and a preparation method thereof.The preparation method comprises the following steps: (1) taking a substrate, and taking an aluminum foil to be adhered to the substrate; (2) spin-coating a PDMS solution on the aluminum foil, vacuumizing in a vacuum cavity after spin-coating, and then heating and curing; (3) spraying gold on the surface of the PDMS with a magnetron sputtering method, (4) carrying out plasma treatment, and spin-coating the PDMS solution; (5) vacuumizing in the vacuum cavity, heating and curing; and (6) repeating the step three to the step five to obtain the PDMS gold composite film with different numbers of gold layers. A G-TENG with high transfer electric charge density and biocompatibility and low impedance characteristic is successfully prepared, an internal electronic area is added by burying gold layers in the near surface of a frictional surface, so that the output of TENG is increased, and the gold layers are beneficial for the drifting of electrons inside the frictional layer and play a role oftrapping the electrons.

The invention belongs to the field of teaching application of information technology, and provides a three-dimensional comprehensive teaching field system and a working method thereof. Depth data of a real teaching space, teacher point cloud data and teaching sound information are collected by means of sensors; basic framework calculation and caching of virtual teaching space data storage, transmission and rendering are realized based on the edge cloud; a spatial index structure of an R tree is adopted, a virtual teaching spatial database model is established, and distributed data storage is achieved; a personalized virtual avatar which is updated in real time is generated by positioning and tracking the action of a user; and the virtual teaching space picture is pushed to a teacher and student display terminal by using a 5G link through coding, uploading, 5G rendering and decoding technologies. According to the invention, the requirements of multiple teaching scenes in remote virtual teaching can be met, and a novel intelligent teaching environment is constructed.

The invention discloses a method for identifying the production place of pericarpium citri reticulatae based on an autofluorescence-quenched fluorescence spliced spectrum. The method comprises the following steps: measuring a fluorescence spectrum of a pericarpium citri reticulatae sample and a fluorescence quenching spectrum of the pericarpium citri reticulatae sample added with CdTe quantum dots; converting and splicing the obtained spectral data to obtain an autofluorescence-quenched fluorescence spliced spectrum; and establishing an intelligent discrimination model according to the characteristic difference information integrated by the spliced spectrum and the correlation characteristics of different pericarpium citri reticulatae production places, so as to realize effective identification of unknown pericarpium citri reticulatae production places. Compared with the traditional method for identifying the production place of pericarpium citri reticulatae by chromatography and the like, the method has the advantages of low instrument cost, high detection speed, high sensitivity, strong production place identification capability and the like, and has practical application value in the field of traditional Chinese medicine quality control.

The invention provides a low-temperature lithium iron phosphate battery, which comprises a positive plate, a negative plate, a diaphragm and electrolyte. The positive plate is prepared by coating a positive current collector with positive paste including a positive active material, positive conductive agents, a positive binder and a positive solvent. The positive active material is Ti3SiC2-modified carbon-coated lithium iron phosphate. The positive conductive agents are carbon nanotubes and graphene. The negative plate is prepared by coating a negative current collector with negative paste including negative active materials, negative conductive agents, a negative binder, a thickener and a negative solvent. The negative active materials are artificial graphite and mesophase carbon microspheres. The negative conductive agents are carbon nanotubes and graphene. The experimental results show that the discharge capacity of the battery in the invention at minus 20 DEG C is 2488mAh and is 88.13% of that at room temperature, and the discharge capacity of the battery at minus 40 DEG C is 2215mAh and is 78.46% of that at room temperature.

The invention relates to a high-thermal-conductivity and high-electric-conductivity PC / ABS composite material and a preparation method thereof. The high-heat-conductivity and high-electric-conductivity PC / ABS comprises PC, ABS, a toughening agent, a graphite heat-conducting filler, a cellulose heat-conducting filler, a coupling agent, a main antioxidant, an auxiliary antioxidant and a lubricatingagent, wherein the graphite heat-conducting filler and the fiber heat-conducting filler are respectively subjected to polyvinyl alcohol coating modification and coupling agent modification treatment in advance; and blending, melting and extruding are carried out to obtain heat-conducting filler master batch, and the heat-conducting filler master batch is compounded with other raw material components. According to the high-heat-conductivity and high-electric-conductivity PC / ABS composite material, a multi-heat-conductivity and multi-electric-conductivity percolation network is constructed by compounding the graphite heat-conducting filler and the fiber heat-conducting filler, and the graphite heat-conducting filler and the fiber heat-conducting filler are subjected to surface chemical modification in combination with pretreatment of polyvinyl alcohol coating and coupling agent treatment; The electric conduction and heat conduction performance is effectively improved, and the impact resistance of the material can be enhanced.

The invention provides a construction method of a suspension steel structure. The construction method comprises the steps that according to the preset positions and preset specifications of temporary diagonal tension braces of all floors obtained in advance, cantilever steel beams and the temporary diagonal tension braces of all the floors are installed layer by layer from bottom to top; according to the preset positions and preset specifications of temporary supports obtained in advance, the temporary supports used for supporting a top-layer cantilever steel truss are installed on the top faces of the cantilever steel beams of the topmost floor; the top-layer cantilever steel truss is installed above the cantilever steel beams located on the topmost floor to form a stable frame; hanging columns are installed on the top faces of the cantilever steel beams of all the floors layer by layer from top to bottom; and after all the hanging columns are installed, the temporary supports and the temporary diagonal tension braces are unloaded. According to the construction method, the stress requirement of the hanging columns can be met, construction is safe and controllable, the construction quality and precision can meet the design requirement, the construction efficiency is improved, and the construction cost is reduced.

The invention relates to wind power generation technologies, in particular to an annual wind speed generation method for wind resource assessment. The method includes the steps: firstly, generating an 8760 data points contained normal-distribution autocorrelation sequence Z with an average obedience value being 0 and variance being 1 according to local annual and monthly average wind speeds, Weibull coefficient, autocorrelation coefficient, day and night mode strength and maximum wind speed moment; secondly, generating a wind speed initial sequence U in annual 8760 hours according to average monthly wind speed, day and night mode strength coefficient and maximum wind speed moment; thirdly, subjecting the wind speed initial sequence U to probability conversion and then added with the autocorrelation sequence Z to obtain a sequence W', and subjecting the sequence W' to probability variation to finally obtain a wind speed sequence W in annual 8760 hours by fitting. Annual wind speed fitting is completed according to various local effective data to finally obtain valid assessment data to adapt to establish of a wind power plant.

The invention belongs to the technical field of meteorological drought prediction, and particularly relates to a meteorological drought prediction method and device based on a VMD-CNN-BiLSTM-ATT hybrid model, and the method comprises the steps: obtaining historical meteorological data, taking the historical meteorological data as input data, carrying out the variational mode decomposition of the input data, obtaining a plurality of intrinsic mode components IMF, respectively splitting each IMF component into a training set and a test set; inputting data of the training set into an input layer of the convolutional neural network, and calculating to obtain an output matrix; taking a matrix obtained by pooling as the input of a bidirectional long-short-term memory network, processing data from the forward direction and the reverse direction at the same time, and paying attention to the correlation between the future moment and the current moment; adding an attention mechanism layer to the output side of the bidirectional long-short-term memory network, adding weights to the hidden layer feature vectors, and calculating output data, namely predicted values, again; subjecting all CNN-BiLSTM-ATT predicted values to recombination and superposition, and obtaining an output sequence. Compared with a traditional drought prediction method, the method is smaller in prediction error and higher in prediction precision and credibility.

The invention discloses a processing method of epoxy chloropropane wastewater; the processing method includes the following contents: excess carbon dioxide gas is introduced into to-be-processed partially cooled raw wastewater, then the wastewater and a part of the raw wastewater are rapidly mixed, the temperature of the mixed wastewater is allowed to be greater than 60 DEG C, and calcium ions are precipitated and removed; ammonium sulfate is added in effluent, and calcium ions in the wastewater are further precipitated; and finally, the processed wastewater together with the precipitate is subjected to biochemical processing, and up-to-standard discharge of the wastewater is achieved. With adopting of introduction of excess carbon dioxide and utilization of raw wastewater alkalinity and waste heat, most of the calcium ions are precipitated and removed, then ammonium sulfate is added for further removing calcium, and finally, up-to-standard discharge of the wastewater is achieved by using biochemical processing; the processing method has the characteristics of simple process, high processing efficiency, and low processing cost.

The invention relates to the field of lithium-sulfur battery materials, and particularly provides an iron sulfide@sulfur hybrid porous carbon positive electrode precursor material which is porous carbon with a through hole structure and composed of a plurality of template etching holes. A carbon skeleton of the porous carbon is sulfur-hybridized disordered carbon; and active particles are distributed in the carbon skeleton in an in-situ dispersion manner, wherein the active particles comprise graphitized carbon and iron sulfide embedded in the graphitized carbon in situ. The invention also provides preparation of the provided material and application of the material in a lithium-sulfur battery. The material provided by the invention has good specific capacity, rate and cycle performance inthe lithium-sulfur battery.

The invention provides a wind turbine generator output step-by-step uncertainty prediction method, which comprises the steps of extracting wind condition feature information of a fan at a specific machine position of a wind power plant, performing unsupervised clustering based on the extracted wind condition feature information, and performing wind condition uncertainty prediction modeling and fanoutput uncertainty modeling step by step based on different wind condition categories; and finally, obtaining an uncertainty prediction model of the fan output, and performing prediction based on themodel. On the other hand, the invention provides a wind turbine generator output step-by-step uncertainty prediction device. According to the method, the observability and controllability of single-step prediction are fully utilized, and the flexibility and controllability of ultra-short-term or short-term output prediction of the fan at the specific position are enhanced; meanwhile, the prediction precision is improved through single-step prediction uncertainty control, and the final fan output prediction precision is improved. In addition, the step-by-step prediction model is updated basedon triggering modes such as regular time driving and event driving of prediction precision monitoring, and the reliability of fan output prediction is guaranteed.

The invention provides an automatic thesaurus construction method for a specific software historical code library. The method provided by the invention uses an idea of knowledge base construction. All historical code libraries of a software system are refined, and a thesaurus (a knowledge base) belonging to the software system is abstracted, so that an efficient understanding of a code construction process of the software system is acquired. The method provided by the invention is mainly used for more accurate code search in a code search process. According to the invention, the method help software maintenance personnel and system developers know words or phrases used in previous versions of the system, and relationships among the used words, so that the system can be developed and maintained more effectively and consistency of words used in system codes is improved.

The invention discloses a high thermal conductivity thermal conduction silica gel gasket and a preparation method thereof. According to the present invention, a thermal conduction powder filler, methyl vinyl silicone oil, hydrogen-containing silicone oil, an organic volatile dilution solvent, a silane coupling agent, a catalyst, an inhibitor and other components are used during the preparation, wherein the thermal conduction powder filler is wet by using the organic volatile dilution solvent so as to substantially reduce the viscosity of the thermal conduction powder base material and improvethe processability, and is subjected to surface modification and dispersion stirring by using an ultrasonic cavitation and mechanical stirring synergistic method so as to greatly increase the fillingamount of the powder filler and easily construct a thermal conduction path, such that the thermal conductivity of the thermal conduction silica gel gasket can be greatly improved; and after heating, the dilution agent in the base material is completely volatilized so as not to affect other performances of the obtained high thermal conductivity thermal conduction gasket.

The invention relates to collagen for preparing hydrogel and a preparation method of the collagen. A collagen sequence containing a bioactive structure GFPGER region is designed, cysteine with an oxidative crosslinking characteristic is introduced into a plurality of sites of the collagen sequence, and four kinds of cysteine-containing collagen with higher purity are obtained through heterologousexpression of escherichia coli. Hydrogen peroxide is used as a crosslinking agent for crosslinking the collagen to prepare the hydrogel. The prepared collagen has good thermosensitivity, can form stable hydrogel construction in an oxidation environment, has no toxicity to cells, and provides a good basis for the application of a drug controlled release carrier.