38 results about "Manufacturing capability" patented technology

The invention relates to a product customization and configuration method and system based on a product model and a knowledge base. The method comprises the following steps: (a) associating a product structure model and a product knowledge base of a target product series; (b) constructing a product configuration model integrating a product structure model, a product knowledge graph and a configuration rule; (c) customer demand parameters are received, and a customized configuration scheme is generated through the product configuration model; (d) automatically generating a design material list and a process material list based on the customized configuration scheme; and (e) executing cost accounting according to the generated design bill of material and the process bill of material and outputting quotation data. The method has the advantages that the requirement of a user for customization can be met, the requirement for configuration can also be met, data such as technologies and processes can be automatically configured for the user, the data can be synchronously updated to related software systems such as PLM and PDM, and the intelligent design and intelligent manufacturing capacity of an enterprise is greatly improved.

A method of configuring robot fleets with additive manufacturing capabilities includes receiving a request for a robotic fleet to perform a job and determining a job definition data structure based on the request. The job definition data structure defines a set of tasks to be performed in furtherance of the job. The method includes determining a provisioning configuration for each additive manufacturing system based on the task to which the additive manufacturing system is assigned, the set of 3D printing requirements, the printing instructions, and the status of the additive manufacturing system. The method includes provisioning the additive manufacturing system based on the provisioning configuration and a set of additive manufacturing system provisioning rules that are accessible to an intelligence layer to ensure that provisioned systems comply with the provisioning rules. The method includes deploying the robotic fleet based on the robotic fleet configuration data structure to perform the job.

The invention discloses a multi-mode flexible four-corner welding machine and method for improving the weld fillet strength, and belongs to the technical field of profile manufacturing. The welding machine comprises a machine body, a cross beam of the machine body is adjustable along an X axis, machine heads on the cross beam slide along a Y axis, and four groups of machine heads clamp four corners of a profile. The machine head integrates a pressing assembly, a heating assembly, a broaching assembly, a seam pressing assembly and the like, the pressing assembly achieves profile fixing and position adjusting through a plurality of guide rail pairs, the broaching assembly carries out precise broaching on a welding seam, and the seam pressing assembly prevents molten chips from overflowing and carries out surface molding on the profile. The method comprises the steps of debugging, charging, positioning and limiting, heating, welding seam width adjustment, welding and discharging. Welding and welding seam finishing are integrated, and the secondary machining defect is avoided; multiple groups of adjustable mechanisms and detachable accessories are matched with various profiles; the surface of the color profile can be protected, the welding quality is enhanced, and the flexible manufacturing capacity of a production line is improved.

This utility model discloses a simple manual bending test device, belonging to the field of bending test technology. It includes two locking sleeves, with a hinge welded between them. Each locking sleeve has an insert sleeve inside. In this utility model, by using the insert sleeves and clamping cover plates, test samples of different diameters can be clamped. By changing the bending mandrel diameter component and using the two locking sleeves in conjunction, the position of the bending mandrel diameter component is controlled. By turning two wrenches, the two locking sleeves swing closer together, bending the test sample inside the insert sleeve. The bent portion of the test sample is obstructed by the bending mandrel diameter component, causing the test sample to fit tightly against the outer periphery of the bending mandrel diameter component, bending the test sample to the required diameter. By using bending mandrel diameter components of different diameters, it is possible to manufacture single and double-numbered samples, as well as large and small diameter samples, achieving a wider range of bending test sample manufacturing capabilities.

The application discloses a design method of a continuous wind tunnel distributed compressor system overall scheme, relates to the field of continuous wind tunnel design, and first obtains a mass flow resistance loss relation curve and converts the mass flow resistance loss relation curve into a converted flow total pressure ratio relation curve of a compressor system; maximum operation power is determined, and lowest isentropic efficiency requirements of each working condition are calculated. A lowest efficiency working condition point is selected as a first-stage compressor design constraint point, serial compressors are designed one by one, and working condition coverage ranges are evaluated; if all working conditions are not covered, a serial compressor is added, iteration is completed through overlapping working condition point selection, load distribution and efficiency calculation, and all working conditions are covered. Finally, whether parallel replacement is needed at each serial position is judged according to processing and manufacturing capacity, parallel numbers are determined, a serial-parallel distributed compressor system overall scheme is output, and the problem that the distributed compressor system lacks a systematic design method is solved, thereby providing scientific guidance for continuous wind tunnel high-speed, wide-speed-range and fine development.

This application discloses an inductor structure and its fabrication method, equipment, and dielectric. The inductor structure includes an inductor winding, a magnet, and a metal frame. The magnet encloses the inductor winding to form a cuboid inductor body. The metal frame covers the top and / or bottom of the cuboid inductor body and connects to the inductor winding terminals that are extended and bent to the top and / or bottom of the cuboid inductor body. By adding a metal frame to the inductor surface, an inductor structure with electrical interconnect design is achieved, which is compatible with mature molding inductor manufacturing methods and semiconductor processes. Advanced system-in-package (SIIP) requires higher dimensional accuracy than general inductor manufacturing capabilities, limiting the flexibility of package design. The electrode reconfiguration method provided by this invention can solve this accuracy mismatch and improve design flexibility.

The application discloses a silicon carbide part preparation method based on gel injection molding, and steps include: mixing and ball-milling silicon carbide powder, carbon black, phenolic resin, solvent, dispersing agent and acrylic crosslinking agent to obtain first slurry; adding curing agent to the first slurry, continuing ball-milling, and removing bubbles to obtain second slurry; pouring the second slurry into a polypropylene mold, curing, and demolding to obtain a wet blank; drying and sintering the wet blank to obtain a silicon carbide part. The method has high uniformity, low defect control and complex shape manufacturing capacity, can be used for preparing large-size silicon carbide devices, and is suitable for industrial large-scale production. Phenolic resin and acrylic crosslinking agent are used as binders, gradient curing can be performed to prevent particle sedimentation, uniform blanks can be generated, and nano-carbon can be generated by pyrolysis of phenolic resin, which can fill pores, inhibit the formation of silicon points, and in-situ generate nano-silicon carbide, so that the density and mechanical properties of the sintered body are significantly improved.

The invention belongs to the technical field of intelligent manufacturing capability maturity evaluation, and discloses an intelligent manufacturing capability maturity evaluation method and system based on industry characteristics and semantic understanding. The evaluation method comprises the steps of constructing an industry feature knowledge base, generating a personalized evaluation information packet, performing semantic processing on evidence materials, calculating matching degree and similarity, calculating the maturity of the capability subdomains, performing comprehensive rating and the like, and finally integrating maturity scores of all the capability subdomains to form an intelligent manufacturing capability maturity grade result of an evaluated enterprise. Through industry feature matching, semantic vector analysis and dynamic weight calculation, objective, efficient and accurate evaluation of the intelligent manufacturing capability maturity is realized, and the method can be widely applied to manufacturing enterprises and has remarkable economic benefits and popularization values.

A manufacturing resource recommendation system based on knowledge graph and collaborative filtering includes 6 modules, namely: data preprocessing module, collaborative filtering module, technology content calculation module, knowledge graph module, similarity fusion module and recommendation module. For the recommendation system of manufacturing resources, fully combines the characteristics of manufacturing resources, and introduces the resource relationship knowledge graph, breaks the resource isolation, reflects the real and reliable manufacturing capacity, and can effectively improve the recommendation accuracy of the system, enhance the recommendation richness and recommendation interpretability, and has good innovation significance.

The invention discloses a thermal stable diaphragm material for a lithium ion battery and a preparation method of the thermal stable diaphragm material, and the material solves the key problems of easy thermal runaway, deformation shrinkage, channel blockage and the like of the existing diaphragm under extreme working conditions by synergistically constructing a three-dimensional composite structure with high thermal stability, mechanical flexibility and ion permeability. The flexible lithium battery diaphragm has good large-scale preparation capability and engineering application prospect, cement which is a traditional building material is introduced into a flexible lithium battery diaphragm system for the first time, and a multi-scale synergistic ion guide channel system is constructed by utilizing the high thermal stability and natural porosity of the cement and combining a polymer flexible phase and an in-situ foaming process. The strategy not only realizes the morphological stability and thermal protection capability of the material under a high-temperature condition, but also significantly improves the ion permeability and interface electrochemical suitability, and breaks through the problem of performance balance between thermal stress and flexibility of the existing polyolefin and inorganic coating diaphragm. Besides, the whole system adopts low-cost raw materials, the preparation process can be completed under normal-temperature and normal-pressure conditions, high-temperature sintering, electrospinning or vacuum treatment is not needed, and the industrial popularization potential is extremely high.

The application relates to the field of steel rolling technology and discloses a control method of a cold rolling mill. The method comprises the following steps: collecting rolling force and bending force of each rack in the cold rolling mill at a first set rolling speed, and a position difference of a pressing cylinder between a working side and a driving side of each rack as rolling force setting, bending force setting and leveling setting of the corresponding rack when the cold rolling mill starts; obtaining actual tension between adjacent racks in the cold rolling mill; if the actual tension between the adjacent racks is equal to zero, building tension for the racks between the out-of-tension rack and the last rack; if the actual tension between the adjacent racks is greater than zero, or after building tension for the racks between the out-of-tension rack and the last rack, adjusting the rolling force, the bending force and the position difference of the pressing cylinder of each rack to the given data; and controlling the cold rolling mill to start according to a starting threading speed. The technical scheme can improve the production stability and manufacturing capacity of the cold continuous rolling mill.

This utility model relates to metal-cutting tools for broaching cylindrical holes. The technical result consists of increased machining productivity, reduced broaching force, vibration, and specific pressure on the teeth, increased tool life and hole machining quality, and expanded broach manufacturing capabilities. The two-stage progressive broach has a front shank, a neck, a transition cone, a front guide, a two-stage cutting section, a calibrating section, a rear guide, and a rear shank. The first-stage cutting teeth have splined straight-sided cutting lugs and chip-separating grooves on each cutting lug; the second-stage teeth have staggered chip-separating grooves on each tooth. In the calibrating section, two pre-calibrating teeth are made in front of the round calibrating teeth, and the transition section between the steps is made enlarged.

This application relates to the field of steel rolling technology, and discloses a method, apparatus, and electronic equipment for predicting the rolling force of a cold rolling mill. The method includes: constructing a speed-rolling force relationship model based on the rolling speed and rolling force of the cold rolling mill; constructing a flow-rate-rolling force relationship model based on the roll gap flow rate and rolling force of the cold rolling mill; constructing a rolling force prediction model based on the speed-rolling force relationship model and the flow-rate-rolling force relationship model; obtaining the actual rolling speed and actual roll gap flow rate of the cold rolling mill; and determining the actual rolling force of the cold rolling mill based on the actual rolling speed, the actual roll gap flow rate, and the rolling force prediction model. The technical solution proposed in this application can improve the accuracy of rolling force prediction for cold rolling mills and enhance the production stability and manufacturing capability of cold rolling mills.

The utility model discloses a modularized quick mold changing molding machine which comprises a mold opening and closing mechanism, mold changing rails are arranged on the two sides of the mold opening and closing mechanism, a mold changing trolley capable of moving front and back is arranged on the mold changing rails, and a moving mechanism is arranged above the mold changing trolley. A plurality of air bags are arranged at the corresponding top end position over the mold opening and closing mechanism, and sand hoppers are arranged among the air bags. According to the utility model, quick die change can be realized, dies of various specifications are compatible, and the production efficiency and the flexible manufacturing capability are improved.

The application provides a kind of intelligent manufacturing capability maturity evaluation method, device and equipment, the method comprises: the intelligent manufacturing capability maturity evaluation index system of multiple different dimensions covering target enterprise is constructed;Obtain the evaluation information set of the evaluation expert set to target enterprise;Based on evaluation information set, construct probability language decision matrix framework;Based on BWM algorithm, evaluation information set is handled, to obtain the weight of different evaluation attributes involved in probability language decision matrix framework, form probability language decision matrix based on weight and probability language decision matrix framework;Based on VIKOR algorithm, probability language terms in probability language decision matrix are handled, and the intelligent manufacturing capability maturity level evaluation result of target enterprise is obtained.The method of the application can objectively and accurately collect expert evaluation information to evaluate the intelligent manufacturing capability maturity of enterprise.

Disclosed subject matter identifies, characterizes, and mitigates previously unforeseen safety hazards that are likely to be encountered by autonomous conveyances—finding these hazards, assessing their potential safety impact, modifying the design to mitigate them should they occur, disseminating updated design programming to all units, including those under construction or those already in the field, and including those hazard mitigations of high severity that exceed the maximum capabilities of the controller as manufactured. These hazards can include rare, infrequent and unforeseen hazards by monitoring conveyances already in the field, gathering data from autonomous conveyances, such as those using a design being updated, and data obtained from those using other autonomous designs in the field. By obtaining data from non-autonomous conveyances, as supplied by their drivers and operators, reporting real-time via a smartphone application, categories of rare, infrequent or unforeseen hazards can be integrated into modified designs.

The present application relates to a kind of based on time domain shaping femtosecond laser high-quality processing CFRP method, belong to CFRP material processing field.The present application is based on femtosecond laser processing CFRP, traditional femtosecond laser is shaped in time domain, it is divided into double pulse with interval 0.1-100ps in time, utilize the characteristics that the material system of each component of CFRP composite material is different, by regulating pulse delay and pulse number explore its respective threshold variation law, and compare between threshold difference change trend, finally according to actual processing purpose select appropriate time domain shaping femtosecond laser processing parameter to realize the high-quality processing of CFRP.This based on time domain shaping femtosecond laser high-quality processing CFRP method, the processing result obtained is without impurity residue, processing uneven, or without layering, tearing, burr and other adverse phenomena, and simultaneously realize the dynamic regulation of different components in material, increase or reduce the difference between different components according to processing demand, to reduce the thermal damage of pre-processing surface or the heat-affected zone of hole and groove structure edge, this method shows the manufacturing capacity and application prospect of high-quality processing CFRP.

The invention provides an intelligent process planning method and system fusing equipment manufacturing capability constraints, and belongs to the technical field of computer-aided process planning and intelligent manufacturing. The method comprises the following steps: establishing a multi-dimensional manufacturing resource constraint model containing machining capacity, motion space and clamping feasibility; taking the constraint model as a boundary, and solving a clamping scheme by adopting a multi-objective evolutionary algorithm; constructing an attribute adjacency graph based on the determined clamping scheme, and dynamically identifying machinable features by adopting a graph neural network; fusing the constraint model and process knowledge, and intelligently generating detailed process procedures including a machining sequence, cutter selection and cutting parameters by adopting a hybrid particle swarm optimization algorithm; according to the method, the equipment manufacturing capability is taken as a preposed hard constraint of process planning, and the generated process scheme is ensured to have high engineering feasibility.

The system is applied to the field of intelligent and digital operation management of industrial manufacturing. According to the method, digital simulation modeling is visually and accurately carried out on product manufacturing capabilities of productivity units such as working centers and intelligent production lines of an intelligent factory in a software graphical mode, and a unique manufacturing digital control execution system of each product is generated according to an established product productivity model. The graphical configuration model highly abstracts production elements such as human, machine, material, method, measurement and the like in the manufacturing capability and a combination mechanism, and provides the modeling capability of quickly constructing a product capacity model in a graph dragging mode. The problem that intelligent manufacturing core software MESMOM is difficult to adapt to products in different industries, different manufacturing processes and different management and control events is solved, manufacturing capacity digital models of all the products of the enterprises are changed from nothing to existence, the demand difference of intelligent manufacturing of all the enterprises is undertaken through model difference, the difficulty of digital manufacturing is reduced, and the production efficiency is improved. And the method has a wide market popularization value.

This utility model discloses a primary-side water pump cabinet structure for a data center, including a cabinet shell. An inlet pipe is located inside the cabinet shell, with one end of the inlet pipe having a water pump cabinet inlet located outside the cabinet shell. The other end of the inlet pipe is connected to an outlet pipe via a water pump, with the other end of the outlet pipe having a water pump cabinet outlet located outside the cabinet shell. A pressure-regulating expansion tank is connected to the inlet pipe between the water pump cabinet inlet and the water pump. A replenishment tank is connected to the inlet pipe between the pressure-regulating expansion tank and the water pump. A safety pressure relief valve is installed on the outlet pipe between the water pump and the water pump cabinet outlet, and the safety pressure relief valve is connected to the replenishment tank via a return pipeline. First and second pressure gauges are installed on the inlet and outlet pipes at both ends of the water pump, and a third pressure gauge is installed on the inlet pipe between the replenishment tank and the first pressure gauge. This utility model has a compact structure, small footprint, modular manufacturing capability, convenient maintenance, and features pipeline pressure stabilization and automatic replenishment functions.

The invention relates to a systematic implementation method of a rolling unit team manufacturing capability index and cost benefit measuring and calculating model, which comprises the following steps of: 1, establishing a rolling unit manufacturing capability index to comprehensively evaluate the manufacturing stability and the lifting capability of a unit team, and 2, establishing a hot rolling unit team manufacturing capability index model, the method comprises the steps of 1, building a cold rolling unit team manufacturing capacity index model, 2, building a rolling unit team index improvement benefit measuring and calculating model, 3, building a rolling unit team index improvement benefit measuring and calculating model, 5, automatically calculating and tracking the manufacturing capacity index by day by a system, 6, measuring and calculating the rolling unit team index improvement benefit by the system, and 7, developing and designing a model interface layer. The overall manufacturing capacity of the rolling unit is improved, and the machining cost of a supporting unit is continuously reduced. By establishing a team cost benefit measurement and calculation model, calculation can be carried out by everyone, and calculation can be carried out at any time.

A system (100) for enabling trusted on-demand distributed manufacturing includes a first interface (120) configured to receive product data from a product data source (110-A, 110-B, 110-N), a second interface (130) configured to exchange manufacturing data from a manufacturing data source (140-A, 140-B, 140-N), a trust anchor module (170) configured via computer executable instructions to add a physically unclonable function (PUF) to a product, generate a non-fungible token (NFT) to represent the product on an NFT platform (172), a matching module (174) configured via computer executable instructions to match the product characteristics with requirements of a buyer and manufacturing capabilities of a producer, and a traceability module (176) to verify success of a manufacturing process.

The present application relates to the field of aircraft assembly, in particular to an aircraft assembly tooling automation platform and a use method. The platform has rich functions and wide functions, can be flexibly moved and configured according to the design requirements of different scheme tooling, and completes the assembly work of the aircraft. The present application adopts modular design and has good reconfigurability, which can meet the flexible tooling design requirements of different configuration needs. The present application realizes the full-digital precision manufacturing of the production line relying on the automation equipment, and plays the integrated advantages of automation, digitization, informatization and intelligence to improve the product assembly quality. Based on digital detection, coordinating the manufacturing accuracy of each link, realizing assembly debugging, this technology is an important part of the application of advanced aviation manufacturing technology. A set of basic assembly verification platform is formed, which can realize tooling assembly automation and product sensing automatic positioning assembly technology, thereby providing support for advanced assembly manufacturing capability.

The utility model relates to the field of equipment production, in particular to a manufacturing capacity reserve multi-source data acquisition system oriented to equipment production pressure fluctuation. According to the technical scheme, the system comprises a low-orbit satellite Internet of Things, a satellite measurement and control feed link, a satellite AMF / SMF / UPF, a gNB base station, a satellite flash module, a wired transmission module, a sensor module, a multi-source information acquisition module, a signal processing module, an edge data storage module, a local data processing and analysis module, an equipment production cloud storage and cloud computing module and a user interface and monitoring system module. And the communication and cooperation module can meet the requirements of real-time state information acquisition, remote transmission and information storage of pressure fluctuation data between the production capacity and the demand.

This invention discloses a laser shock blasting method for improving the creep resistance and synergistic manufacturing capability of thin-walled aluminum-lithium alloys. The method includes: solution-treating and water-quenching an aluminum-lithium alloy sheet, followed by aging; marking a region with a radius of 10-20 cm centered at the intersection of the sheet's maximum transverse and longitudinal dimensions as the area requiring the greatest creep; cleaning the marked area, then applying a constraint layer and an energy absorption layer, followed by laser shock blasting; cold-rolling the sheet, followed by thinning the non-laser-shocked side to obtain an aluminum-lithium alloy sheet of the target thickness; wire-cutting the aluminum-lithium alloy sheet according to the unfolded diagram of the target profile to obtain the final aluminum-lithium alloy sheet to be formed; placing the aluminum-lithium alloy sheet to be formed on a forming mold, and then performing creep aging. This invention effectively improves the local creep resistance of thin-walled aluminum-lithium alloy components through local laser shock blasting, while simultaneously increasing local strength and toughness, inhibiting the occurrence and propagation of cracks, and preventing cracking.

The invention relates to the technical field of cold rolling continuous annealing production, and particularly discloses a control method for preventing in-furnace deviation shutdown during strip steel transition, which comprises the following steps: S1, establishing a hot rolling raw material convexity-wedge key index automatic early warning and closing strategy; s2, a rolling strategy of the rolling mill is adjusted and controlled based on offset negative feedback of the subsequent process; s3, a tension linkage control mechanism is established according to the production line speed and the CPC deviation amount; s4, changing manual speed reduction of specification transition into an error-proofing mechanism of program automatic control; s5, steel grade or specification transition occurs, false speed of temporary speed increase and decrease is shielded during speed reduction operation, the stable speed of the period of time serves as the control basis, meanwhile, the speed increase and decrease opportunity needs to be controlled, and speed reduction needs to be completed before a weld joint enters a furnace; the invention provides a systematic anti-deviation method, which is more systematic, effectively reduces the times of deviation shutdown of the continuous annealing furnace, obviously improves the production efficiency and manufacturing capacity of a continuous annealing unit, and is beneficial to system mistake proofing.

The invention discloses a high-temperature alloy forging material capable of being used for a large wheel disc of a 600-DEG C-grade high-temperature compressor, and belongs to the field of alloy materials. The material comprises C, Mn, Si, S, P, Ni + Co, Cr, Nb + Ta, Ti, Al, B, Cu, N2, O2 and the balance Fe. By optimizing the alloy components, the content of the easily segregated Nb element is about 3 wt%, and the manufacturing capacity of the large alloy cast ingot is improved; the manufacturing cost is reduced, the forgeable capacity of the material is improved, the high-temperature performance of the material can be improved, and meanwhile the linear expansion coefficient is controlled within an acceptable range. The room-temperature tensile properties are as follows: Rp0.2 is greater than or equal to 950MPa, Rm is greater than or equal to 1200MPa, A is greater than or equal to 13%, and Z is greater The tensile properties at 480 DEG C are as follows: Rp0.2 is greater than or equal to 855MPa, Rm is greater than or equal to 1065MPa, A is greater than or equal to 15%, and Z is greater than or And the durability is as follows: 650 DEG C, 690 MPa and more than or equal to 23 hours.

The invention discloses a dynamic productivity algorithm based on a productivity structure tree, which is applied to the field of industrial manufacturing digitization of intelligent factories, digital factories and the like. The production capacity units of the factory are organized and managed in a structure tree mode, and the capacity of the production capacity units is dynamically quantified so as to support upper-layer applications such as evaluation of the product manufacturing capacity and planned production scheduling. The productivity is an abstract of digital factory productivity, various equipment capability, production line capability, work center capability, manual productivity, outsourcing productivity and other units are organized according to a tree structure, and the productivity is dynamically quantified by considering constraint factors such as productivity utilization rate and qualification rate, so that the management and application of the productivity of various manufacturing enterprises are met. Structural tree management and dynamic quantification of each capacity unit of the factory are helpful for artificial intelligence (AI) to estimate and schedule the capacity of the digital factory, is helpful for limited capacity plan production scheduling and order delivery time estimation application, is helpful for standardized application of the capacity of the digital factory, and has wide market promotion value.

The invention discloses an enterprise manufacturing capability quantitative evaluation method and system based on multi-source heterogeneous data fusion, terminal equipment and a medium, and relates to the technical field of enterprise business quantitative evaluation. The method comprises the steps of obtaining multi-source heterogeneous multi-dimensional operation data of a target enterprise, constructing a multi-dimensional feature set containing at least three of features of resource consumption, a supply chain, human resources, material logic and an asset structure, and realizing quantitative evaluation of enterprise manufacturing capability through feature fusion. According to the method, the defects that an existing evaluation method is high in cost, easy to forge and lack of cross validation are overcome, non-intrusive data collection and cross-dimensional verification logic are adopted, low-cost, automatic and high-accuracy quantification of the real manufacturing capacity of an enterprise is achieved, the information asymmetry risk that a trader pretends to be a manufacturer is effectively avoided, and the real manufacturing capacity of the enterprise is evaluated. The evaluation result can be called by an upper-layer service system, and reliable assistance is provided for related service decisions.

The application relates to the field of micro-nano processing technology, and particularly relates to an atomic layer deposition method based on physical adsorption, which comprises the following steps: providing a substrate; selecting a first precursor with a surface energy of 1-25 kJ / mol, and performing a first deposition cycle on the substrate to form a physical adsorption layer on the substrate surface; wherein each cycle of the first deposition cycle comprises the following steps: depositing the first precursor on the substrate surface with a first temperature, and blowing with inert gas with a second temperature, the first temperature being less than or equal to 25 DEG C, and the second temperature being greater than or equal to 30 DEG C; sequentially performing a second deposition cycle and a third deposition cycle on the physical adsorption layer with a second precursor and a reaction gas to form a functional material film on the substrate surface; wherein the environmental temperature of the second deposition cycle is less than 80 DEG C, and the environmental temperature of the third deposition cycle is greater than or equal to 80 DEG C. The application has the advantages of simplicity and universality, and can reduce the damage to the substrate surface under the premise of having an atomic-level manufacturing capability.