155 results about "Digital manufacturing" patented technology

The invention discloses an on-line automatic measurement and compensation method for digital manufacturing, which comprises the following steps of: scanning the surface of a workpiece to be processed in real time through a high-precision laser scanner to obtain a three-dimensional geometric model of the workpiece; environmental parameters in the laser machining process are monitored in real time through multiple sensors; on the basis of the collected real-time geometrical morphology and environmental parameters, the processing deviation of the workpiece is calculated in real time through a data processing and analyzing module, and a compensation model is generated; according to the calculation result of the compensation model, the central control system adjusts a laser processing path and processing parameters in real time; after each time of processing, a feedback signal of each time of error is used as a basis for updating the compensation model so as to ensure that the compensation model is continuously optimized. The method has the following advantages and effects: dynamic correction and long-term optimization of machining errors can be realized by combining real-time data acquisition and an optimization compensation model technology of a deep learning algorithm, so that the machining precision and efficiency are improved.

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.

The invention discloses an ultra-high-speed optical module digital manufacturing scene knowledge reasoning method, device and equipment based on a large model technology and a medium, and belongs to the technical field of artificial intelligence, and the method comprises the steps: constructing a knowledge graph of an ultra-high-speed optical module digital manufacturing scene; converting the multi-modal data into vector representation; a natural language input by a user is converted into a high-dimensional vector, and related knowledge points and reference data are matched; performing labeling and data enhancement on historical reasoning question and answer pairs and contextual dialogues, determining a contextual relationship by referring to a knowledge graph, and forming a fine tuning data set; performing fine tuning on the large language model by utilizing the fine tuning data set; and performing deep understanding on the matched related knowledge points and reference data by the fine-tuned large language model to generate a reasoning question and answer result. According to the method, professional knowledge and multi-modal data in the manufacturing process of the ultra-high-speed optical module are considered, the natural language processing technology and the multi-modal data understanding capacity are combined, and the understanding accuracy of the system on complex queries and the answering accuracy are improved.

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.

A method and system for providing secure delivery, transport, modification, exchange of digital design and build files that have been bundled into a digital asset within a complex digital supply chain. The system also provides for quality standards when the digital asset is used to manufacture a physical part, and provides for secure feedback to stakeholders for the purpose of digital logistics, data analytics, or liability. The system includes, but is not limited to, manufacturing, licensing, modification and delegation policy, generating authorization certificates, authenticating manufacturing devices and provide qualitative and quantitative file consumption data.

The invention relates to the field of robot overhead welding, in particular to a robot applied to welding of a stator core of a high-power wind driven generator and an overhead welding method. Comprising a whole welding robot workstation, the welding robot workstation is provided with a working platform, two ground rails are arranged on the working platform, a centering device is arranged at the center of the two ground rails, a stator to be welded is arranged on the centering device, a robot system is arranged on the ground rails, and the robot system is provided with a dust removal system. The robot system can slide on the ground rail, a rectangular rack is arranged on the bottom side of the robot system, a movable mechanical arm is arranged on the rack, a welding power source and a water cooling machine are arranged on the side edge of the ground rail, a welding gun is arranged on the mechanical arm, a laser sensor and an electric arc sensor are arranged on the side edge of the welding gun, and the welding gun conducts overhead welding on a stator to be welded. A digital manufacturing technology is adopted for robot overhead welding, the problem that a molten pool is difficult to control in manual overhead welding is solved, the labor intensity of workers is relieved, and the labor cost is reduced.

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 a digital manufacturing and construction method for a special-shaped stone veneer in a large venue, and aims to solve the problems of low machining precision, high mounting difficulty, low construction efficiency and the like of special-shaped stone in construction of an outer vertical face and an inner veneer of a building. The method comprises the following steps: firstly, measuring a building special-shaped structure by using a three-dimensional scanner or a BIM (Building Information Modeling) technology to generate a three-dimensional geometric model; based on the model, combining the material characteristics of the stone, and optimizing the geometric shape and size of the stone through a typesetting algorithm; then the optimized data are imported into five-axis CNC numerical control equipment for precise cutting; pre-assembly is conducted after cutting, errors are detected through laser scanning equipment, and adjustment is conducted till the precision requirement is met; and finally, a laser positioning system and a mechanical sensor are combined, a manual construction team manually installs the stone, and it is ensured that the installation precision meets the design requirement. According to the method, the machining and mounting precision of the special-shaped stone is effectively improved, the construction efficiency is improved, and the structural safety and the attractive effect of a building are guaranteed.

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 provides a digital manufacturing method and system for a transparent retainer. The method comprises the steps that a digital oral cavity model of the oral cavity of a patient is obtained, a repair steel wire model is determined, and steel wire data of the repair steel wire model and a digital steel wire oral cavity merging model are exported; carrying out bending processing according to the steel wire data to obtain a steel wire piece entity; based on the digital steel wire oral cavity merging model, a digital retainer base model with a clamping groove shape is determined, and the clamping groove shape is reserved according to the repair steel wire model; the digital retainer base model is subjected to 3D printing, a retainer base real object is obtained, and the retainer base real object is provided with a steel wire clamping groove corresponding to the clamping groove in shape; and the steel wire piece real object is installed in the steel wire clamping groove, the steel wire piece real object and the retainer base plate real object are fixed, and a transparent retainer finished product is obtained. The problems that in the prior art, cost is high due to manual production, and product production quality standards are difficult to unify are solved.

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 utility model relates to the technical field of roll collar machining, and provides an intelligent roll collar grinding machine which comprises a roll collar grinding machine body, a headstock servo motor is arranged on one side of the roll collar grinding machine body, the output end of the headstock servo motor is connected with a first motor belt pulley, and a belt pulley is arranged below the first motor belt pulley. The first motor belt pulley and the belt pulley are in transmission connection through a tensioned synchronous belt, one end of the belt pulley is connected with a headstock main shaft, the other end of the headstock main shaft is sequentially provided with a first double-row cylindrical roller bearing, a thrust ball bearing and a second double-row cylindrical roller bearing, and a main shaft motor is arranged on the other side of the roll collar grinding machine; the output end of the spindle motor is connected with a second motor belt pulley, and the bottom of the second motor belt pulley is in transmission connection with a grinding carriage spindle through a joined triangular belt. The grinding efficiency and precision of the grinding wheel are effectively improved, the stability of equipment and the working efficiency of an operator are improved, and the development of intelligent and digital manufacturing is further promoted.

The present invention discloses a non-destructive sensing method and system for metal packaging based on digital manufacturing, the method comprising: sampling the sound data of the metal packaging to be tested and obtaining the corresponding spectrum energy data; generating the corresponding energy spectrum picture based on the spectrum energy data; obtaining the physical picture and shape of the metal packaging to be tested; assigning corresponding weights to the energy spectrum picture and the physical picture based on the shape of the metal packaging to be tested; adjusting the weight parameters of the trained neural network model based on the assigned weights; using the energy spectrum picture and the physical picture as inputs of the neural network model, and outputting the quality information data characterizing the metal packaging to be tested; judging whether the metal packaging to be tested is qualified according to the quality information data. This process can non-destructively sense the defects of the metal packaging without the need for destructive detection, saving time and effort, and is a relatively reliable detection method.

The invention discloses an intelligent question and answer method, device, equipment and medium for an optical module digital manufacturing scene based on a knowledge graph, and belongs to the technical field of intelligent manufacturing. Forming a knowledge graph containing equipment information, process flow and time node information; the method comprises the following steps: analyzing a natural language problem input by a user based on a preset domain feature word library of an ultra-high-speed scene, and classifying the natural language problem into equipment query, process query or time query; according to the classification result of the natural language questions, the natural language questions are converted into graph database query statements, and retrieval is carried out in the knowledge graph; and converting a query result into a natural language form understood by the user, dynamically responding and returning to the user. The information acquisition efficiency and the decision support level in the manufacturing scene are improved, and the optimization of the production process and the improvement of the production efficiency are ensured.

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.

A transtibial prosthetic device comprises a pylon configured as a unitary truss structure formed of a plurality of elongated supports interconnected at nodes and having open spaces between supports of the plurality of elongated supports. The unitary truss structure comprises a polymer. A foot-ankle complex extends from a base of the pylon. The foot-ankle complex comprises an s-shaped posterior portion, an s-shaped anterior portion, and a sole portion. The s-shaped posterior portion and the s-shaped anterior portion both extend from the sole portion, have upper portions with curvatures that are concentric with each other, and are separated from each other by a gap.

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.

Methods for producing a transtibial prosthetic device include generating a scan of a reference prosthetic limb, wherein the reference prosthetic limb has a reference socket, a reference pylon, and a reference foot. A digital model for the transtibial prosthetic device is generated, wherein the transtibial prosthetic device comprises i) a socket, ii) a pylon comprising a unitary truss structure, and iii) a foot-ankle complex. An alignment of the pylon with the socket and with the foot-ankle complex in the digital model is based on the scan. The method includes fabricating, using the digital model and 3D printing, the pylon and the foot-ankle complex as a unitary single piece.

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.