280 results about "Manufacturing sector" patented technology

The invention discloses a cloud manufacturing service resource match and combination method based on performance fusion. According to a relationship between cloud manufacturing service resources and cloud manufacturing resource requirements of users, a cloud manufacturing service resource combination is divided into two stages of match and combination, a performance fusion model of the match and the combination is constructed, and combination schemes are evaluated and sequenced by means of a dynamic multi-attribute decision-making method to filter an optimal cloud service resource combination scheme. According to the cloud manufacturing service resource match and combination method based on performance fusion, the problem that current networking manufacturing resource match methods can't be directly used for achieving cloud manufacturing service match; and simultaneously, idle manufacturing cloud can be used for automatic rent-seeking on a cloud platform and is convenient, fast, safe and cheap for customers to use, a many-to-many mapping relationship of requirements and services is n:1:m, and by means of the many-to-many mapping relationship, a multi-layer and three-dimensional manufacturing service is provided for manufacturing industries.

The invention discloses a manufacturing execution system which comprises a production planning and scheduling system, wherein a manufacturing execution system is integrated on the basis of the production planning and scheduling system. The manufacturing execution system comprises a basic material module, a document management module, a personnel management module, an equipment management module, a material management module, a die management module, a quality management module, a data acquisition module, a real-time monitoring module and a real-time reporting module. An upper layer of the manufacturing execution system is integrated with an ERP (Enterprise Resource Planning) system of an enterprise, and a bottom layer of the manufacturing execution system is connected with a data acquisition device and a man-machine interaction terminal interface in a product field. According to the manufacturing execution system provided by the invention, the problem of real-time material demand information in the production field of the discrete manufacturing industry is solved, the material demand information can be timely sent to a warehouse by automatic system triggering or manual triggering, and the problems of monitoring and feeding back the efficiency of production equipment in real time are solved by the scientifically planned OEE (Overall Equipment Efficiency) management.

The invention belongs to the technical field of knowledge management and knowledge pushing oriented to manufacturing enterprises, particularly relates to a novel and efficient knowledge management and knowledge pushing method based on a knowledge graph and discloses a knowledge pushing method based on a manufacturing design knowledge graph structure (Man-tree). By means of the method, the comprehensiveness and accuracy of enterprise knowledge pushing can be effectively improved. The knowledge pushing method comprises the step that a knowledge modeling module, a knowledge extracting and subject discovering module, a knowledge graph Man-tree establishing module, a user knowledge possess degree calculation module and a knowledge pushing module are established by introducing an LDA method. By quantitatively evaluating the degree of the knowledge processed by a user, the knowledge graph is expanded, and semantic association between knowledge and the user is established. According to the specific technology, formation of a database, extraction of knowledge, discovery of knowledge association, knowledge storage design, and a quantitative calculating method for the degree of the knowledge processed by a user are included. The novel method for knowledge pushing in the manufacturing design field is given on the basis that the manufacturing design graph is proposed.

A prestress stretch and anchor method for high intensity compound material belongs to the construction of compound material reinforcement or civil engineering structure strengthening especially relates to the technical field of high intensity compound material prestress stretch and anchor to be the simple technology, convenient operation, high reliability, good engineering result, strong adaptability to the engineering structure with light weight, small size, rigid, strong carriage, strong ability of crossover, and widely used in bridge, large crossover industrial workhouses, sheds, docks, underground railways and part mechanical industries such as large scale hoist and transport equipments, ships and lorries.

The invention discloses a method and a system for monitoring an overall process of a finished vehicle productive task executive condition and belongs to the technical field of manufacturing informatization. The method and the system for monitoring the overall process of the finished vehicle productive task executive condition are characterized in that the system comprises an information identification device, an information collecting device, an information interactive device, a printing device and an engraving device, other hardware, an information integration interface and information collecting management software. The method carries out integration, collecting and interaction to task information of a finished vehicle production process through the information integration interface, the information identification device, the information collecting device and the information interactive device, processes the task information through a task monitoring system, and finally achieves real-time monitoring to a finished vehicle productive task executive process. The method and the system for monitoring the overall process of the finished vehicle productive task executive condition can be widely applied to finished vehicle production enterprises, and have the advantage of being low in cost, strong in generality, and good in expansibility.

The invention discloses a discrete manufacturing industry-oriented dynamic production plan scheduling method, which comprises the following steps of: firstly, a customer order is received, and a process management module splits the customer order to generate a production task according to product information; a plan management module generates a production order according to the production task, and an advanced plan scheduling module automatically schedules the production order according to scheduling parameters set by a planner and dispatches the production order for production according to ascheduling result; a production management module receives the production list and arranges production; a warehouse management module receives the material plan and prepares raw materials for the production line; and a scheduling tracing module feeds back the actual production information to the plan management module, dynamically adjusts a scheduling result, and forms closed-loop feedback from plan scheduling to actual production. According to the method, the scheduling result is dynamically adjusted according to unstable factors in actual production, the reasonable resource utilization rateis ensured, and the visual material plan and production plan are generated from multiple angles under the condition of considering enterprise resources, a production field and a dispatching method.

The invention provides a manufacturing industry cross-domain heterogeneous data identity construction and tracing method based on a block chain. The method comprises the steps that firstly, a data tracing proxy is preset in the multi-data processing stage of an intelligent manufacturing industry supply chain collaborative cross-domain system, and data interaction with the block chain system is achieved through the proxy; a data tracing proxy extracts data internal fingerprints which can be shared and are written into a database of each enterprise, a lightweight elliptic curve feature extraction algorithm is designed by combining external association attribute features of the data, internal and external cause joint features are further extracted and signed, and a data credible security label combining internal and external factors is constructed. Secondly, an intelligent contract is called, in the multi-data processing stage of the supply chain cooperative cross-domain system, a recordis generated and stored in a data mapping logic chain in a block chain, a multi-party consensus mechanism based on the block chain and a tamper-proof characteristic are combined with the automation capability of an intelligent contract in the block chain, and multi-scale and multi-data processing stage data identity chain tracing is realized.

The invention discloses a manufacturing industry factory management system based on a digital twin platform, which comprises a data acquisition and docking module, a data processing center module and a digital twin platform module, and the digital twin platform module comprises a production management module, a material management module, a personnel management module, an equipment management module, a quality management module and an intelligent monitoring module. All production data information can be integrated and summarized in a unified mode according to the actual production logic relation, so that an integrated scheduling management system is formed, the problems that production information is scattered and cannot be managed in a unified and systematic mode are solved, the problems that data are poor in readability and difficult to understand due to the fact that data are complex and disordered can be solved, the management efficiency is greatly improved, and the labor intensity of managers is reduced.

The invention discloses a precision forging plastic forming process for an inner gear ring in a planetary reducer. The precision forging plastic forming process includes the following steps: (1), warm forging plastic forming is carried out; (2), normalizing, reforming, sand blasting, phosphating, surface saponification and treatment are carried out; and (3), cold forging plastic forming is carried out. By means of the process, a product is stable in quality, accumulative errors among tooth profiles are small, the rate of finished products is high, the working efficiency is improved, and the production cycle is short. A large amount of machining methods that a machine tool is adopted to carry out machining after hot forging are replaced, work quantities of machine tool machining are reduced, not only is the precision requirement met, but also the production cost is reduced and the production cycle is shortened, and meanwhile, the process also meets the trend of development of the worldwide manufacturing industries.

A method and an apparatus are disclosed for operating a production plant in a production process in the manufacturing industry or the process industry by optimizing the operation of the production process, in which the efficient use of the available energy is taken into account as a further optimization variable.

The invention discloses a method for scheduling a machine part processing line by adopting the discrete quantum particle swarm optimization, comprising the following steps: reading in the machine part processing process operation time, initializing a particle swarm, calculating the adaptation value of each particle, updating the individual optimal position and the global optimal position of each particle, carrying out global search on the basis of the discrete quantum particle optimization, carrying out local search and drawing a machine part processing sequence Gantt chart according to a global optimal scheduling scheme. The method disclosed by the invention improves the limitation of the traditional quantum particle swarm optimization in the production scheduling field, overcomes the defects that the quantum particle swarm is easy to be subjected to local optimization and has the advantages of high optimizing precision and high optimizing speed. The method is used for scheduling the machine part processing line, can solve to obtain an optimal scheduling scheme in a shorter time and is easy and convenient to operate. The principle has wide range of application and can be popularized to the producing and processing field of the manufacturing industry, the process industry and the like.

The invention relates to the technical field of the manufacturing industry and discloses a punching device for hardware production. The punching device comprises a worktable; the upper end of the worktable is fixedly connected with a U-shaped plate; the lower end of the U-shaped plate is fixedly connected with a hydraulic cylinder; the lower end of the hydraulic cylinder is fixedly connected witha fixed plate; a mounting plate is arranged below the fixed plate; the fixed plate is connected with a buffer mechanism and is connected with the mounting plate by virtue of the buffer mechanism; a punching head is arranged below the mounting plate; the mounting plate is connected with a dismounting mechanism and is connected with the punching head by virtue of the dismounting mechanism; the upperend of the worktable is provided with an opening corresponding to the position of the punching head; a grinding mechanism is arranged inside the opening; and the grinding mechanism comprises a motor,a first threaded rod and a grinding plate. The punching device hardware production can be used for quickly and effectively punching a hardware plate and quickly and effectively grinding burrs of thebottom of a punched hole, improves the grinding efficiency, reduces the labor capacity of a worker and is beneficial to use by people.

The invention provides a method of forming nanostructure on the friction surfaces of metal friction pairs and a special composition thereof. The method is characterized by that: the special composition is added in a lubricant medium that the metal friction pairs used with the weight ratio of 0.01-2%, under the working condition of the metal friction pairs, the special composition particles are brought to the friction surfaces of the metal friction pairs by the lubricant medium, under the high contact pressure generated from the friction surfaces of the metal friction pairs and the repeated actions of the composite forces composed of extrusion and rolling generated by relative motions between the friction surfaces, the open grain structures on the friction surfaces are allowed to generate strong microscopic plastic deformation repeatedly by the special composition particles, the metal friction pairs run for 1-100 cumulative working hours, so that the nano-structured crystal layer on the respective friction surface of the metal friction pair is online realized respectively, with the particle size of less than 100 nanometer, and the thickness of the nano-structured crystal layer of 2-10 micrometer. The invention has the advantages of extremely simple processing, extremely high production efficiency, low processing cost, no processing energy consumption and the like, is very suitable for large range industrialization and large scale production, having a far-reaching influence on machinery equipment manufacturing industry and mechanical parts processing industry.

The invention discloses a control system and control method of a customized intelligent production line. The control system comprises a remote user client, a cloud background system, a manufacturing execution system, and an industrial robot production line which are in communication junction in sequence. The control system realizes the application of the structure of a manufacturing industry industrial control system to a customized production line of industrialized products, and the integration of automation and informatization, completes the goals of customized ordering and unmanned production, greatly improves the industrialized manufacturing efficiency and is suitable for the intelligent control of various processing and manufacturing industries or products.

The invention, which belongs to the technical field of mechanical manufacturing tool state monitoring, discloses a method for determining tool changing of a tool. In the prior art, wearing of a tool during the actual production process affects the processing quality of a workpiece greatly; and the efficiency of the traditional tool monitoring way is low. However, according to the method provided by the invention, the working state of the tool is reflected visually by a cutting force; and the study on the relevant calculation method is mature. On the basis of geometric simulation of the tool, calculation is carried out by using a corrected cutting force empirical formula to obtain a cutting force sample; and a sample is placed into a machine learning frame and a training result can be applied to actual processing. The method can be applied to various cutting processes and has the great significance in promoting intelligent realization of the manufacturing industry.

The invention relates to a rodlike bismuth oxide and a preparation method thereof. The rodlike bismuth oxide has a diameter of 0.5-3 microns, a length of 10-60 microns, a length-diameter ratio of over 10, and purity over 99%. The preparation method specifically consists of: acidifying certain amount of a bismuth salt by nitric acid, then adding deionized water, carrying out stirring dissolving, then adding the solution into an ammonia water, sodium hydroxide or potassium hydroxide solution, and performing a one-step hydro-thermal treatment so as to obtain the rod-like bismuth oxide. The preparation method provided by the invention has the characteristics of no environmental pollution, simple process, wide adjustable range of parameters, strong repeatability, as well as low production cost, thus being applicable to mass industrial production. The prepared rodlike bismuth oxide can be widely used in industrial catalysis, the medical industry, the special glass manufacturing industry, the electronic industry, new materials, and other fields.

The invention discloses a decision control method for intelligent factory digital twin information based on 5G driving. The method comprises the following steps: S1, carrying out a multi-source heterogeneous twin data fusion process; s2, a digital twin information interaction communication process based on 5G; and S3, a control decision process of the multi-source heterogeneous twin data information. According to the invention, a 5G-based digital twinning communication mode can be constructed, real-time twinning data-driven online simulation is realized, virtual-real mapping and interaction are really realized, the real-time performance of decision-making and control to terminals and applications and the autonomy and intellectualization of reaction are ensured, the upstream and downstream cooperation of an industrial chain of the manufacturing industry is promoted, and the development of the industrial chain of the manufacturing industry is promoted. And in an actual production environment, a reinforcement learning method and a self-supervised learning method are utilized to learn compact and multi-modal representation of data in an input network, so that decision-making and control efficiency of resource configuration, production planning, real-time scheduling, supply chains, logistics and the like is improved, and the method adapts to production management and control under dynamic factor disturbance.

The invention relates to a manufacturing industry field process abnormal behavior detection method, which is mainly used for researching a detection method based on a behavior characteristic knowledgebase for manufacturing industry field process abnormal behavior detection, and is used for constructing a random forest abnormal detection model based on a random forest algorithm. According to the specific implementation method, PCA method dimension reduction is carried out on process data of an industrial field, feature selection is carried out by adopting an integrated rule tree model, and theprocess data is classified by adopting a random forest algorithm. Each path of the random forest corresponds to one rule, good interpretability is achieved, the classification accuracy is greatly improved, a large number of input variables can be processed, and even if process data contains missing values, the classification result can still reach high accuracy. A behavior characteristic knowledge base and a real-time emergency decision-making framework of an unknown behavior scene are fused, and abnormal behaviors are early warned in advance by predicting behavior detection of industrial field process data.

The invention relates to a cushion block with adjustable height, which comprises a base, wherein the base is provided with a sliding groove; the bottom of the sliding groove is provided with a sliding groove inclined plane; the sliding groove is internally provided with a sliding block capable of moving in the sliding groove; the sliding block and the sliding groove are matched with each other; the base is connected with an adjusting bolt through a thread; and one end part of the adjusting bolt is fixed to one end of the sliding block. According to the invention, the sliding block is pushed through screwing the adjusting bolt, so that the sliding block slides on the inclined plane of the base, the effect for accurately adjusting the integral height is achieved, and processing and manufacturing expense can be reduced obviously; and the cushion block with adjustable height is simple in structure, is convenient and stable to operate, meets the requirement that the height of cushion iron can be adjusted in the modern manufacturing industry, and can be applied to fixtures, inspection tools and other mechanical equipment.

The invention provides a regeneration process for waste solvent paint, and is the process that waste solvent paint from coating construction or waste paint from the manufacturing industry is taken as raw material and is recovered and regenerated into qualified solvent paint through the certain processing steps. The waste paint from the manufacturing industry and the coating construction can be effectively recovered by the method of the invention, the regeneration method is scientific and reasonable, the qualification rate of regeneration products is high, and the regeneration process does not fundamentally generate the three wastes.

The invention relates to a manufacturing precision marking system of a trademark-based subdividing process section, and a use method of the manufacturing precision marking system. Components and performances of trademarks are subdivided into a plurality of sections, each small section correspondingly has a set of process system, and further, each working procedure forms one batch production according to the process requirements of a marker chain; and a marking system work process comprises the following steps of establishment of a marking pool, a marker pool structure, fusion of the marker pool and markers, trademark dividing and marking, and fusion of the markers and process parameters. The components and the performances of the trademarks can be subdivided into a plurality of sections, each small section correspondingly has a set of process system, markers and marker chains of corresponding trademarks are generated in the marker pool, and each working procedure forms one batch production according to the process requirements of the marker chain, so that the personalized needs of different users can be respectively met, the mass customization production under the conditions of small batches and multiple varieties is realized, the production cost is effectively reduced, the fine control of production process is realized, and the product quality is improved.

The invention discloses a data acquisition and cataloguing method and system applied to a discrete manufacturing industry production process, terminal equipment and a storage medium. The data acquisition and cataloguing method comprises the following steps of data acquisition access, data classification and processing, data cleaning and filtering, data information input, data model construction and data on-demand storage. Bottom layer technical details of different technologies are shielded and packaged into a unified data access interface; realizing access logic of corresponding data for different data sources is realized based on the unified interface so as to form a component library of a data access system; data definition, data structure, data identification, data coding, data cataloguing, principal, source, conversion relationship, target, quality grade, dependency relationship, security authority and other related contents of the accessed data are managed, and a data model meeting a unified standard is formed finally; and flexible storage of big data is realized by utilizing an elastic expansion and dynamic expansion mechanism of Paas resources provided by the system.

The invention discloses a method for predicting the machining time of a machine tool and equipment, and belongs to the field of machine tool control systems. The method comprises the following steps: collecting information in a machining program of the machine tool so as to determine the machining duration of the machining program corresponding to a plurality of products machined by the machine tool, and extracting data characteristics related to the machining duration from the machining program; associating the data features of the same product with the machining duration to obtain a machine tool working hour training sample corresponding to the machining program; generating a data cleaning model based on the training sample, and cleaning the training sample through the data cleaning model; and generating a product man-hour prediction model based on the cleaned training sample, and predicting the man-hour of the machine tool processing product through the product man-hour prediction model. The man-hour prediction is improved to an automatic prediction mode from manual prediction, flexible change is carried out according to actual production conditions, a high-cost scheme depending on personnel or multiple pieces of software is changed, and data support is provided for workshop management in the manufacturing industry.

The present invention relates to crimpers and shears used in the jewelry making industry. The invention includes a new and improved set of tools for crimping multiple sleeve sizes used in the making of necklaces, bracelets, and the like. One embodiment provides a single tool that is operable for crimping bead sleeves of one or more sizes. Another embodiment combines both crimping and shearing functions in a single tool.

The invention discloses a high-precision device for vertically measuring the outline of a slender piece, and belongs to the field of measurement and detection in the manufacturing industry. The device is mainly composed of a vertical reference guide motion assembly, a multi-size measurement assembly, a rapid positioning assembly and a motion control system. The vertical reference guiding motion assembly is used for realizing guiding, motion driving and position measurement of the multi-size measurement assembly and the rapid positioning assembly. The rapid positioning assembly adopts a digital CCD and a two-dimensional movement reset scheme to realize rapid installation and positioning of a measured slender piece. The multi-size measurement assembly adopts a rotary non-contact scanning measurement scheme to measure the cross section size of the measured slender piece. According to the invention, rapid installation and positioning and high-precision profile measurement of circular, quadrilateral, hexagonal and other components and standard parts with slender cross sections in a vertical state can be realized, and the device has the advantages of high measurement precision, high universality and high measurement efficiency.