97 results about "Digital manufacturing" patented technology

The invention relates to the technical field of digital manufacturing, and discloses a digital twin middle station and self-healing decision system for oil and gas equipment management, which comprises a multi-source sensing terminal, a twin optimization module, a fault topology diagnosis module and an early warning execution terminal, a multi-modal synchronous fusion mechanism is constructed, and when the state of oil and gas equipment is monitored, a heterogeneous data alignment standard is formulated, and a dynamic frequency normalization rule is set for different equipment types, so that the definiteness of multi-source sensing data fusion is ensured; meanwhile, vibration, temperature, pressure and sound wave data are synchronously collected in real time, millisecond-level detection can be achieved, the data time difference problem can be eliminated, the accuracy of equipment state feature extraction is guaranteed, and the feature fusion error is further reduced; and generating a self-adaptive correction coefficient in real time by calculating the dynamic deviation of the physical model and the data model.

The invention discloses a digital manufacturing method and system for a bracket node in a steel structure column, and relates to the related field of digital manufacturing of building components, and the method comprises the steps: collecting three-dimensional point cloud data of a bracket node connection region in a target steel structure column; stress concentration analysis is conducted in the vertical direction and the horizontal direction, and a key welding point set and a bolt hole site set are marked; lightweight design parameters of the bracket supporting structure are introduced, load stability analysis is conducted, and first assembly parameters are configured; traversing M bracket nodes in the target steel structure column to obtain a first assembly parameter to an Mth assembly parameter, and configuring a digital manufacturing instruction sequence in combination with the three-dimensional point cloud data; and inputting the data into a numerical control machining center, and driving multi-axis linkage equipment to manufacture and manage the bracket node. The technical problems that existing bracket joint manufacturing is low in efficiency and insufficient in precision and stability are solved, and the technical effects that the manufacturing efficiency is improved, the manufacturing precision and stability are improved, and powerful support is provided for energy-saving building material production are achieved.

An intelligent electric meter digital manufacturing platform based on intelligent manufacturing includes: an electric push rod fixedly disposed in a frame and a testing machine disposed on the electric push rod. The testing machine includes a box fixedly disposed on a telescopic shaft of the electric push rod and a testing component disposed in the box. A first pulley drives two ends of a pulling rope to move from a middle end of a side wall of the pulling rope through driving of a servo motor. This makes an end of the pulling rope pull a testing probe to move upwards, the other end of the pulling rope pull the other testing probe to move downwards, allowing it move to a bottom of the box. This design avoids affecting testing efficiency due to the need to replace or maintain the testing probes, facilitating subsequent testing of an intelligent electric meter.

The invention provides an optimization method for parameterization design of a steel formwork, and belongs to the technical field of building construction.The optimization method comprises the steps that a non-uniform rational B-spline surface parameter equation is established, steel formwork block parameterization design is carried out on the basis of the surface parameter equation, and a thickness distribution function and back arris spacing parameters are generated; constructing a support system mechanical parameterization model to determine support spacing optimization parameters and rod piece section sizes, and solving a double-layer decision-making system comprising an upper-layer template deformation minimization decision-making model and a lower-layer concrete surface flatness optimization response model by applying a game optimization algorithm; and a digital manufacturing instruction is generated to establish a mapping relation between a template number and geometric characteristics, a quality real-time monitoring system is established, configuration parameters are dynamically adjusted through a template adaptability evaluation function, and the technical problem that template deformation control is inaccurate due to the fact that design of the special-shaped concrete structure steel template lacks accurate parameterized optimization is solved.

The invention relates to the technical field of digital manufacturing and precision machining, and discloses a part machining method and system based on inspection planning and feature driving, and the method comprises the steps: reading a full three-dimensional model, analyzing a tolerance mark, instantiating the tolerance mark into a procedure inspection item node, and building a persistent reference; identifying geometric features and matching the geometric features with the inspection items to generate a to-be-tested feature set; measuring point distribution is calculated in a self-adaptive mode according to the feature types, and a collision-free measuring path is generated; converting the path into a numerical control code containing a radius compensation algorithm and embedding the numerical control code into a machining program; after the numerical control center executes measurement, abnormal data calculation deviation is eliminated, and a compensation value is written into a register to correct parameters. By establishing full three-dimensional model data association and applying curvature adaptive sampling and statistical data cleaning strategies, data faults of design and detection are eliminated, the problem of environmental noise interference is solved, and the precision control level of complex feature processing is improved.

The invention discloses a rapid forming method for a motorcycle exhaust tail section bent pipe. According to the method, the physical constraint of a traditional mechanical mold is broken through through the electromagnetic field auxiliary bending technology, the metal pipe fitting is guided to be automatically formed through the dynamic regulation and control magnetic field, the mold development period and cost consumption are avoided, and the continuous curvature transition effect which is difficult to achieve through a traditional technology is achieved. A closed-loop feedback system corrects a forming track in real time and is matched with an intelligent temperature control and stress relief mechanism to ensure that the stable extension characteristic of the material is maintained in the high-speed deformation process; the surface quality of the airflow channel is optimized while residual stress is eliminated through high-frequency vibration treatment, and the airtightness and the noise reduction effect of the exhaust system are remarkably improved in cooperation with precise matching of the sealing face in the finish machining stage. According to the method, through deep fusion of accurate regulation and control of a physical field and digital manufacturing, a novel manufacturing normal form with quick response and controllable quality is provided for a customized motorcycle exhaust system.

The invention relates to the technical field of intangible cultural heritage protection, in particular to an intelligent pattern generation and material adaptation system and method for an intangible cultural heritage technology, and the system comprises a knowledge graph construction module, a hierarchical perception adversarial network module, a material adaptation module, a digital manufacturing module and a virtual prototype module. A knowledge graph containing pattern features, material attributes and association relationships thereof is constructed by collecting non-abandoned process pattern data, intelligent patterns conforming to non-abandoned aesthetics are generated, a material adaptation module analyzes feature parameters of the intelligent patterns and predicts adaptive material parameters, a digital manufacturing module generates a digital manufacturing instruction, and the digital manufacturing instruction is sent to the digital manufacturing module. According to the method, a complete digital link from pattern design to material manufacturing is established, the problem of systematic storage and application of traditional process knowledge is solved, and inheritance and development of non-abandoned processes are promoted.

The invention provides a precision casting and friction welding digital manufacturing method for a basic part of an aero-engine, which specifically comprises the following steps of: 1, preparing a blade by adopting a high-temperature alloy material through a precision single crystal casting process; 2, a titanium alloy / high-temperature alloy / carbon fiber composite material is adopted for preparing a blisk / turbine disk; 3, the blades and the blisk / turbine disc are connected through a linear friction welding technology, and connection of homogeneous or heterogeneous metal or nonmetal is achieved; 4, in the linear friction welding process, data of vibration and force-heat multi-frequency key factors are collected, and support is provided for construction of a digital twinborn model; and 5, a digital twinborn model of the linear friction welding process is constructed based on the collected data. According to the method, key factors such as vibration and force heat in the linear friction welding process are collected and reconstructed, the digital twinborn model is constructed, the welding process can be monitored in real time, the welding quality can be predicted, and a basis is provided for welding process optimization and component performance evaluation.

The invention belongs to the technical field of building information model (BIM) and digital manufacturing, and particularly discloses a BIM-based curtain wall metal keel component model data automatic circulation method and system.The method comprises the steps that firstly, a parameterized model of a curtain wall metal keel is established based on BIM software, and geometric dimensions, material attributes and connection node key information are defined; then geometric data and non-geometric data of the curtain wall metal keel are extracted from the parameterized model of the curtain wall metal keel, and the extracted data are converted into a JSON structured format; and finally, based on the kinematic model of the mechanical arm, the extracted geometric data and non-geometric data of the curtain wall metal keel are combined to plan and generate a cutter cutting path for curtain wall metal keel machining and production. According to the scheme provided by the invention, the seamless data link between the BIM model of the curtain wall metal keel and the numerical control machining equipment is established, so that intelligent, high-precision and batch production of the curtain wall metal keel component is realized.

The invention relates to the technical field of digital manufacturing, in particular to an unattended image three-dimensional printing retail device, aims to solve the problem that personalized hard entity commodities cannot be manufactured in real time, and comprises a main control module, a user data input module, an image processing module, a substrate storage module, a marking module, a forming module and a finished product delivery module. The image processing module generates contour data based on the original image; the marking module forms an image and a positioning mark on the hard or semi-hard substrate; and before forming, the main control module corrects contour data through the image and the positioning mark formed on the substrate, and controls the forming module to perform accurate forming according to the corrected data. Through visual calibration closed-loop control, full-automatic and real-time manufacturing and selling of high-added-value personalized hard commodities are achieved, and high precision and the yield are guaranteed.

The application discloses a node processing review and precision improvement method based on three-dimensional laser scanning, relates to the technical field of digital manufacturing and steel structure engineering precision control, and comprises the following steps: through multi-scale structure feature identification, basic attributes and topological relationship modeling are combined, effective guidance of design information to the whole detection process is realized, through enhanced feature tree driven scanning path planning combined with multi-view point cloud fine splicing strategy, the collaborative mechanism of scanning implementation and design features is embodied, high-quality data acquisition of key functional features is realized, through multi-scale feature corresponding set construction combined with an adaptive nonlinear least square optimization model, the idea of multi-level constraint collaborative participation registration is embodied, high-stability rigid body transformation solution is realized, through deviation field construction combined with function area confidence and effective error index calculation, the ability of detection result transformation to engineering decision is embodied, and the scientificity of correction and rework decision is improved.

The invention relates to the technical field of digital manufacturing and industrial information management, and discloses an information management system for a digital processing workshop, which comprises the following steps: acquiring an equipment abnormal event record to generate an equipment fault propagation sub-graph with observation evidence; calculating process similarity and screening source domain products; fusing the source domain priori causal graph to execute Bayesian causal structure learning to generate a posterior cross-process quality causal sub-graph; calculating a conditional Granger causal relationship to generate a cross-layer causal edge set; assembling a double-layer causal map; establishing an extended structured Bayesian network model; executing structured variational inference to output a joint attribution result; executing propagation path tracking to generate an attribution report with uncertainty quantization; according to the method, the technical problems that multi-source heterogeneous information of a device layer and a process layer cannot be effectively fused in the fault attribution process of the digital processing workshop in the related technology, cross-process causal structure learning is difficult to complete under the condition of a small number of samples, and the attribution result is lack of uncertainty quantification are solved.

To relate to a stator for an electric motor.SOLUTION: A manufacturing apparatus includes a build surface that receives layers of material for production of a three-dimensional solid representation of a digital model, and an imaging component for bonding respective portions of a build material into cross sections that represent portions of data contained in the digital model. An imaging component may be a programmable planar light source utilizing a micro-pixelation system and a refractive pixel shifting mechanism, or other imaging system. The apparatus may include a system for controlling a density of a printed part. An object may be a powder composite part using either a variety of powder feedstocks or plastic parts. The object may be further post-processed to produce high precision metal or ceramic component.SELECTED DRAWING: Figure 9

The present invention discloses an intermaxillary traction tooth surface fixing device, its digital manufacturing method and application. The fixing device includes an upper jaw tooth surface fixing component applicable to the upper jaw and a lower jaw tooth surface fixing component applicable to the lower jaw. The upper jaw tooth surface fixing component includes a tooth surface bonding attachment A bonded to the labial tooth surfaces of each tooth in the upper jaw, a connecting rod A connecting two adjacent tooth surface bonding attachments A, and further includes a traction hook A extending towards the gingival side and arranged on the connecting rod A. The lower jaw tooth surface fixing component includes a tooth surface bonding attachment B bonded to the labial tooth surfaces of each tooth in the lower jaw, a connecting rod B connecting two adjacent tooth surface bonding attachments B, and further includes a traction hook B extending towards the gingival side and arranged on the connecting rod B.

The invention relates to the technical field of production management, and discloses a collaborative scheduling method, device and equipment for a digital manufacturing platform, and the method comprises the steps: generating a real-time sensing matrix through simulating the operation condition of a factory in real time, predicting material shortage information according to a real-time production work order and a material demand, obtaining the positioning data of an automatic carrying unit, and carrying out the real-time monitoring of the real-time sensing matrix; according to the method, a transport target map and a material carrying characteristic matrix are constructed, a graph neural network is utilized to simulate a transport path and optimize and drive an automatic carrying unit to carry out transport, risk assessment is carried out through multi-modal sensing data, an optimal adjustment strategy is generated, and through real-time data driving and path optimization, the precision and efficiency of production scheduling are improved, and the production efficiency is improved. The risk in the transportation process is reduced, the utilization rate of production resources is increased, and the problem that in the prior art, material demand changes are difficult to respond rapidly is solved.

The present application provides a method and system for optimizing the robustness of the reflow soldering process, which relates to the field of digital manufacturing. The method includes: constructing a thermal model of the PCB component during the reflow soldering process based on the surface device structure and substrate layout in the obtained PCB component; constructing a mechanical model of the PCB component, establishing a convective heat transfer model during the reflow soldering process based on the thermal model, adding temperature boundary conditions to the mechanical model, and constructing a coupled mechanical-thermal simulation model; constructing a simulation surrogate model and a robustness optimization model; based on the robustness optimization model, using a genetic algorithm to search the simulation surrogate model to optimize the robustness of the reflow soldering process parameters. The present application constructs a surrogate model for the reflow soldering process, realizes the rapid simulation analysis of the temperature change and warping deformation of any solder joint of the PCB component during the reflow soldering process, and realizes the robustness optimization of the reflow process under the condition of considering the uncertainty of process parameters, ensuring the yield of the reflow soldering process.

The invention discloses a sheet metal part manufacturability analysis method and system, and belongs to the field of sheet metal part digital manufacturing. The method comprises the following steps: establishing a structured rule base containing unit feature rules and inter-feature position relation rules; analyzing the three-dimensional model of the sheet metal part by using a rule-based feature recognition algorithm, recognizing manufacturing features such as bending, hole, sinking and the like, extracting parameters and topological information, and dividing a structured surface set; feature information and a design knowledge model are constructed based on ontology modeling, and structural mapping of feature parameters and topological relations and association of part ontologies and feature ontologies are achieved; and finally, through automatic matching of a design knowledge model and a rule base, combining an inference engine to complete compliance verification, and outputting a part-level manufacturability evaluation conclusion and a violation optimization suggestion. According to the method, through combination of the structured rule and the knowledge model, automation and accuracy of sheet metal part manufacturability evaluation are improved, and efficient technical support is provided for design and manufacturing process adaptation.

The invention discloses a digital pipeline form adjustment optimization method, which belongs to the technical field of digital manufacturing, and comprises the following steps: S1, obtaining a scanning point cloud of a to-be-folded port on a machine through three-dimensional scanning, and carrying out three-dimensional reconstruction; s2, establishing a structural model between the YBC parameters of the conduit and the pose matrix of the pipe end coordinate system; s3, enabling the port of the overlapping end of the guide pipe to be overlapped with the port to be folded on the machine by utilizing virtual assembly, and establishing a relationship between the position matrix of the optimized end reference coordinate system of the guide pipe and the YBC parameters of the guide pipe; and S4, performing nonlinear multi-objective optimization of the conduit form by taking the order difference, the gap and the axial included angle between the port of the optimized end of the conduit and the port to be folded on the machine as optimization objectives, and obtaining YBC parameters of the conduit after form optimization. The guide pipe shape correcting operation intensity can be effectively reduced, the shape correcting operation efficiency is improved, the shape of the guide pipe is optimized and adjusted, and good applicability is achieved.

The invention discloses a key index extraction method and system for digital manufacturing maturity evaluation, and relates to the technical field of data processing, systematic preprocessing and candidate index extraction are carried out on business data of each process of a workshop, invalid indexes are removed, and adaptive calibration is carried out, so that the evaluation accuracy of the manufacturing maturity is improved. Generating a first core candidate index set which can really reflect the digitization and automation level; and after grading and tolerance compensation are carried out based on the first core candidate index set, a finer second production unit evaluation grade is screened out again, and finally, a targeted optimization scheme is output for each process based on digital twin simulation and a rule base. According to the method, the accuracy of index extraction is greatly improved, the whole-process self-driven closed loop from candidate indexes to core indexes and then to evaluation grading and process optimization is realized through double-round grading and closed loop optimization, and a high-credibility quantitative basis and an operable improved path are provided for digital manufacturing maturity evaluation.

The invention discloses automatic assembling equipment for product assembling based on digital manufacturing, and particularly relates to the technical field of digital automatic assembly.The automatic assembling equipment comprises a permanent magnet assembling unit, the permanent magnet assembling unit comprises an assembling machine frame and a first conveying unit, and a mechanical arm assembling unit and a permanent magnet feeding unit are arranged in the assembling machine frame; and the manipulator assembly unit comprises an operation frame, an adsorption protrusion and a movable driving unit, a first electromagnet is arranged in the adsorption protrusion, a groove is formed in the bottom of the adsorption protrusion, a dispensing nozzle is arranged in the middle of the groove, and a cooling unit and a heating unit are further arranged in the adsorption protrusion. In the glue pouring process, the top of the permanent magnet has the bonding force of the hot melt glue solidified in the groove besides the magnetic adsorption effect of the first electromagnet, the permanent magnet can keep good stability in the glue pouring process, the situation that the assembling precision of the permanent magnet is affected due to deviation and dislocation is not likely to happen, and the manufacturing quality of products is improved.

This application provides a spacecraft assembly design status integration construction system and method based on a 3D model, belonging to the field of spacecraft design and manufacturing technology, aiming to solve the problems of information silos and collaborative difficulties in spacecraft assembly design. The system includes an assembly status integration display module and a component technical requirement planning and definition module. The assembly status integration display module, based on a professional design architecture, aggregates, lightweights, and integrates multi-disciplinary layout components into a unified architecture, and parses and manages design information. The component technical requirement planning and definition module, within the whole-vehicle model environment, provides structured definitions and management of assembly technical requirements. This application breaks down information barriers, improves collaborative efficiency, and lays the foundation for digital manufacturing by constructing a unified and information-complete digital prototype.

The invention relates to a data analysis technology, and discloses a digital manufacturing method and system for a hot-press injection molding integrally-formed component, and the method comprises the steps: obtaining the state data of a component material during hot pressing based on preset hot-press process parameters in real time, and predicting the residual stress distribution of a hot-press stage according to the state data, according to the residual stress distribution, generating injection molding process parameters in an injection molding stage in real time, obtaining component three-dimensional data of a component sample subjected to injection molding based on the injection molding process parameters, calculating a uniformity coefficient of the component sample based on the component three-dimensional data, and judging whether the uniformity coefficient is greater than a preset uniformity threshold value or not; and if the uniformity coefficient is smaller than or equal to a uniformity threshold value, adjusting the hot-pressing process parameters according to a preset adjustment step length, and returning to the step of acquiring the state data of the component material during hot-pressing based on the preset hot-pressing process parameters in real time, and if not, confirming that the component manufacturing is finished. The quality stability of the hot-press injection molding integrally-formed part can be improved.

The method for digitally designing and manufacturing made-to-measure packaging for an object includes recognizing the object; automatically determining the family of objects to which the object belongs; automatically determining a sub-family to which the object belongs according to the morphology of the object; evaluating the dimensions of the object; determining the packaging model of which the internal volumetric space is capable of containing the object; identifying, locating, defining and quantifying the preferred wedging areas; creating a 3D digital design of the packaging and its preferred wedging areas; digitally decomposing the packaging and its preferred wedging areas by creating different complementary elementary layers by means of digital slicing; reproducing the different layers by cutting a suitable material in sheet form in order to obtain strata, and subsequently stacking and / or juxtaposing, positioning, assembling and securing the different strata to form the packaging.

Exemplary embodiments provide a distributed ledger system that may comprise a ledger network configured to have various entry sequences, wherein a sequence is associated with an element intended for manufacturing and an entry in the sequence is associated with an element file packet with instructions for undertaking the manufacturing of the element. The system may also comprise: at least one submitter node configured to submit a proposed entry transaction to the ledger network, wherein the proposed entry transaction includes a revised element file packet; and at least one approval node configured to review the proposed entry transaction and provide approval if threshold criteria are met. If the approval is provided by the at least one approval node, the proposed entry transaction and the revised element file packet become a latest entry and latest element file packet in the sequence. The system may also comprise at least one fabrication node and at least one end point.

The invention relates to the technical field of dental restoration, in particular to a digital manufacturing method and system of a false tooth. The method comprises the following steps: carrying out attribute editing on a three-dimensional model of a finished tooth to establish a template database comprising one or more three-dimensional models of the finished tooth; obtaining oral cavity data of a patient, and performing tooth arrangement design and base plate design; based on the virtual false tooth model, determining a three-dimensional model of a positioning auxiliary body for positioning a corresponding finished tooth object; manufacturing a materialized positioning auxiliary body according to the three-dimensional model of the positioning auxiliary body; and performing physical positioning and arrangement on a finished tooth object corresponding to the finished tooth three-dimensional model by utilizing a materialized positioning auxiliary body, and combining the finished tooth object with a gingival base material to form the false tooth. Physical finished teeth are integrated into a digital working process, and the problem that the finished teeth are difficult to be efficiently utilized by a digital scheme is solved.

The embodiment of the invention provides a machining procedure distribution method and device for a workpiece capable of reentering a mixed-flow manufacturing production line, and relates to the technical field of digital manufacturing. The method comprises the steps that a plurality of to-be-selected machining devices matched with to-be-distributed machining procedures are determined for each to-be-distributed machining procedure of a target workpiece, a machining procedure priority sequence of the to-be-selected machining devices is obtained, and the machining procedure priority sequence comprises a plurality of distributed machining procedures; determining a distribution score of the to-be-selected processing equipment relative to the to-be-distributed processing procedure according to a difference value between the target processing frequency and the current processing frequency of the to-be-distributed processing procedure, the completion delivery time of the target workpiece, the current distance between the target workpiece and the to-be-selected processing equipment and the number of distributed processing procedures of the to-be-selected processing equipment; and selecting the to-be-selected processing equipment with the highest distribution score as target processing equipment for executing the to-be-distributed processing procedure. By means of the method, mixed-flow manufacturing and reentrant manufacturing can be achieved, and the execution priority of the machining procedures can be flexibly distributed and adjusted.

The present application belongs to the field of industrial software and digital manufacturing technology, and particularly relates to a wind power equipment full life cycle digital clue construction method. The method comprises the following steps: step 1, constructing a unified data model covering the full life cycle of wind power equipment; step 2, constructing a digital clue framework; and step 3, business cooperation and feedback based on the digital clue. The method breaks through the data barriers among the design, manufacturing and operation stages by constructing a unified data model and a digital clue framework taking BOM as the main line, and realizes accurate mapping of full life cycle data and automatic business cooperation by using BOM dynamic mapping technology based on semantic understanding and a rule engine.

The invention discloses a platform calibration system and method and digital manufacturing equipment, and the system comprises a bearing platform which is provided with a calibration station; the calibration mechanism is arranged at the calibration station and comprises an image acquisition structure and a driving structure, the image acquisition structure is used for acquiring a position image of the bearing platform, and the driving structure is connected with the bearing platform; and the control unit is connected with the image acquisition structure and the driving structure and is used for receiving the position image, calculating a position deviation value between the position image and a preset standard position and controlling the driving structure to drive the bearing platform to move so as to compensate the position deviation value. The real-time data of the current position are acquired through the image acquisition structure, the control unit compares the real-time data of the current position of the bearing platform with the preset standard position, and the position deviation value is calculated; and the driving structure accurately moves the bearing platform according to the instruction so as to compensate and eliminate the position deviation, and full-automatic and high-precision position calibration based on visual feedback is realized.

The invention relates to the technical field of digital manufacturing, in particular to a wind power tower manufacturing digital operation cooperation system, which comprises the following modules: a data acquisition layer module, which is used for deploying a sensor, acquiring data in real time and transmitting the data to a data processing layer, and the content of the acquired data comprises one or more of production equipment, a technological process and product quality; the data processing layer module is used for cleaning, converting and storing the collected data, establishing a unified data warehouse, mining and analyzing the data by using a data analysis algorithm, and providing support for production decision making; and the application layer module comprises a production plan management sub-module and a process control sub-module. The technical problems that in traditional wind power tower drum manufacturing, a production plan mode is large in hysteresis quality and cannot adapt to the modern manufacturing industry are solved. On the basis, the invention provides a digital operation cooperation method for manufacturing the wind power tower drum.

The invention relates to a full-printing paper-based room temperature gas sensor and a preparation method thereof, the sensor uses an extensible digital manufacturing technology, and the limitation of a traditional sensing material and a manufacturing method is solved. The sensor adopts a novel nano composite material, the novel nano composite material is prepared into printable ink, the printable ink is formed by compounding two or more nano structures of metal oxide, graphene, precious metal and the like, and the ultralow detection limit and high response value of NO2, H2S and other gases at room temperature are achieved. The nano material is accurately deposited on the paper flexible substrate by adopting an ink-jet printing technology, and by optimizing the viscosity, surface tension and particle size of the gas-sensitive material and finely adjusting the printing speed and height of a printer, rapid, extensible, uniform and high-precision sensor manufacturing is realized, and meanwhile, the compatibility with flexible and wearable base materials is kept.