107 results about "Process oriented" patented technology

A method and system estimates manufacturing costs for conventional and advanced materials and processes based on process-oriented approach. A computer system input display for selecting one or more designs and one or more design parameters. Cost models are based upon process-oriented manufacturing cost estimates for a plurality of designs utilizing materials and manufacturing processes. Software is programmed to receive selected designs and selected design parameters from the input display and pass the selected designs and design parameters to the cost models. An output display shows the manufacturing costs estimated by the cost models for the selected designs and design parameters. A manufacturing process flow simulation model highlights and quantifies the magnitude of the manufacturing process cost drivers. An architecture including a relational database is also disclosed, and input and editing modules can be utilized to modify the cost model equations or to provide input from other software applications.

The invention relates to a scheduling rule intelligent excavating method based on rule parameter global coordination optimization, belonging to the automatic control, information technology and advanced manufacturing field, in particular relates to a complex production process oriented scheduling rule intelligent excavating method for scheduling environment in real time. The invention is characterized in that the method includes the following steps: a complex production process oriented scheduling rule intelligent excavating frame for scheduling environment in real time is built, a scheduling problem instance classification model is build, and scheduling rule parameter global coordination optimization problem is constructed and solved. The invention is based on the scheduling rule intelligent excavating frame provided by the invention and adopts double-layer fuzzy C-means clustering method to classify scheduling problem instances. Rule parameter global coordination optimization problem is constructed directing at scheduling problem instance in each class and linear partition based particle swarm optimization is adopted to solve and optimize the problem, wherein Bayes estimation method is adopted to carry out comprehensive evaluation on scheduling rule performance. The obtained scheduling rule has better scheduling effect on different problem instances in similar scheduling environment.

A unique process-oriented task database contains a hierarchal organization of work tasks. A service provider selects one or more tasks from the database to populate a record corresponding to the service provider; and the record is recorded in a service provider database. A consumer selects tasks from the task database to query the service provider database. The consumer then searches the service provider database with a search engine using tasks selected from the task database. The search engine returns a list of one or more service providers satisfying the search criteria, including the process-oriented task or tasks that the service provider selected from the task database.

Embodiments of the present invention relate to a process-oriented extendable “super-transaction” able to handle multiple business objects in an integrated manner. The embodiments may comprise computer-executable instructions to build objects associated with a business process, and to link the objects using pointers. The linkages enable multiple objects of a business process to be handled in an automated, streamlined flow without manual tracking of objects.

A process-oriented field knowledge extraction and push system and a process-oriented field knowledge extraction and push method are provided. The process-oriented field knowledge extraction and push system includes a user module, a knowledge resource module, a knowledge push module and a process module. The process-oriented field knowledge extraction and push method comprises the following steps that: knowledge is extracted from knowledge resources and is represented by knowledge vectors, and process vectors are extracted from a process task, and user attribute vectors are extracted from user description; matching calculation is performed among the process vectors, the user attribute vectors and the knowledge vectors so as to obtain the correlation between knowledge requirement and knowledge; a knowledge scoring value can be calculated through user behavior variables; and finally, the knowledge scoring value is utilized to correct the result of knowledge correlation calculation so as to obtain a knowledge ranking result which is closely related with the process task, and more accurate push of the knowledge to the process task can be realized. According to the process-oriented field knowledge extraction and push system and the process-oriented field knowledge extraction and push method of the invention, the nature of knowledge push is defined as transmission of right knowledge to right people in a right form and in right time. The process-oriented field knowledge extraction and push system and the process-oriented field knowledge extraction and push method are advantageous in high work efficiency and high accuracy.

The invention provides a modeling and optimizing method of a high-sulfur natural gas purification process oriented to energy saving and consumption reduction. The method comprises the steps that process parameters influencing the desulfurization efficiency and performance indexes of a desulfurization unit are selected and then are acquired to form sample sets; normalization is conducted on the sample sets to form normalized sample sets, and a training sample and a testing sample set are selected from the normalized sample sets; a neural network model is established based on the training sample, and initial state variables of the neural network model are determined; the optimal state variable of the neural network model is estimated by utilizing an ST-UPFNN algorithm; according to the optimal state variable, the neural network model is updated; preference functions of H2S concentration and CO2 concentration are established respectively; process parameters of H2S concentration and CO2 concentration are optimized by utilizing an MOGA algorithm, and the optimized process parameters are introduced into the updated neural network model, the system performance of the optimized process parameters is calculated, and average values of the system performance of actual samples are compared. The production efficiency of high-sulfur natural gas purification can be improved by utilizing the method.

The invention discloses an electric signal feature extraction and recognition system oriented to aircraft flying process, particularly relates to a collection, processing, extraction and recognition system for electric signals of an aircraft. The system takes the electric signals of the aircraft as an object, is based on the process oriented to flying tasks and is suitable for convention testing of the aircraft at each stage and in various modes and combined testing of multiple aircrafts. By the system, dynamic data, which are more comprehensive and are based on the flying process, of the electric signals can be accumulated at a comprehensive testing stage and serve as a criterion to judge whether electric performance of the aircraft is normal or not, and the dynamic data exceed corresponding remote measuring indicators of a tested object in the aspects of accuracy and instantaneity; as a key link for verifying the aircraft, compared with conventional remote measuring of the aircraft, monitoring accuracy and rate of the system are improved remarkably on a number level, an efficient means is provided for comprehensive testing of the aircraft oriented for complex flying process, and level of judging electric performance working state of the aircraft on a system level is improved.

The invention provides a multi-Agent cooperative control method for a manufacturing enterprise and system. A whole-process-oriented intelligent cooperative distributed hierarchical control model is constructed, the model is formed by a bus connection system Agent and various workshop Agents, a DS_MADDPG algorithm is used to solve the intelligent cooperative distributed hierarchical control model in the distribution state, and cooperative control among Agents is realized. The MADDP algorithm is improved to be more suitable for the new algorithm DS_MADDPG of the model, and through simulation, the effectiveness of the algorithm is verified.

In view of the miniaturization of semiconductor components, the prevention of particles and other defects on the wafer surface during production is of great importance. The inspection should proceed as process-oriented as possible. For this purpose, devices are needed which on the one hand, are of very compact construction, while on the other hand, they still are equipped with measuring systems meeting the highest requirements.

The device according to the invention for measuring surface defects, comprising a sample holder, a rotation drive for the sample holder, wherein the rotational axis runs perpendicular to the sample surface to be measured, an optical measuring system (10) for measuring scattered light, as well as at least one linear drive (23) for the measuring system, wherein the rotational direction is radial to the rotational axis of the sample holder, is capable of scanning the entire sample surface (16). By moving not only the sample, but also the measuring system, the need for space as a whole is reduced and the total device can be constructed with a more compact design.

The invention provides a method for acquiring an ADL (architecture description language) and a modeling tool. The method comprises the following steps: firstly, formulating a DPOSPL (data process oriented software product line) ADL metamodel for describing the product line variability; then introducing variable definitions and an assignment syntax in the DPOSPL ADL; and finally, formulating a description specification on the DPOSPL ADL in accordance with the restriction of an architectural model, wherein an architecture description language supports the transformation from a demand characteristic model subjected to domain analysis to an architecture model, thus quickly developing an architecture of actual products aiming at specific demands directing at variable points in the demand characteristic model.

The invention relates to the field of fabricated buildings, in particular to an intelligent fabricated building construction method. The method comprises the steps of preliminary model design, whereinspace planning is conducted according to site analysis, building modeling, building landscape and traffic flow lines; Utilizing a BIM technology to form a building full model; Model design is optimized, the whole building model is placed in a specific simulation environment, and the house type, size and orientation of the building are perfected; Carrying out deepening model design, splitting theoptimization model into single components, and carrying out shape optimization, steel bar configuration and collision detection on the single components according to splitting of the components; According to the detection result, all the elements are adjusted, the relation among all the elements is further perfected, a component deepening detail drawing is directly obtained through the BIM model,and the drawing should comprise a component size drawing, a pre-buried positioning drawing and a material list table, and an H-dimensional view is constructed. And an intelligent design technology isutilized, so that the construction of the fabricated building is more standardized, process-oriented, automatic and intelligent.

The invention provides a method for realizing smooth transition from demand characteristic modeling to architecture modeling, and the method comprises the following steps: providing a data-processing-field-oriented characteristic modeling method; building a data-processing-field-oriented characteristic modeling tool; and realizing the smooth transition from the demand characteristic modeling to the architecture modeling by the conversion of a DPOSPLADL (data process oriented software product line architecture description language).

The invention relates to a multi-position car body assembly process-oriented online multiple-deviation source diagnosing system and method. The system comprises a clamp failure mode space calculation module, a multisource heterogeneous data processing module, and a recognition and diagnosis module for deviation sources at a plurality of positions. The method is based on the deviation mode definition of CAD positioning information and assembly process information and a calculation method, and realizes real-time diagnosis on the clamp deviation sources at a plurality of positions by use of a deviation space and by projecting measurement point data to the deviation space and drawing an MR control chart, wherein the deviation space is obtained by use of a vector orthogonalization method and comprises a deviation mode and a complementary space; besides, by use of the heterogeneous detection data of the key measurement point of KPC and a multisource mathematical statistic method, a data failure mode is extracted through the covariance matrix of the data, and furthermore, the correlation analysis of the mode is performed to realize diagnosis on out-of-tolerance of parts.

The invention belongs to the technical field of computer software and discloses a method for converting an xUML4MC model into an MSVL program, and a computer program. The method for converting the xUML4MC model into the MSVL program comprises the steps of establishing a class diagram model and activity diagram model description system; converting a class diagram and an activity diagram into an object-oriented abstract grammar tree; preprocessing and converting the object-oriented abstract grammar tree into a process-oriented abstract grammar tree; and converting the process-oriented abstract grammar tree into the MSVL program. The method is suitable for model detection system modeling; a UML-based visual modeling mode is intuitive in modeling and easy to master, and is more convenient andaccurate compared with a text language-based modeling mode; and the MSVL program generated by conversion can be directly used for model detection. The unification of software design modeling and modeldetection system modeling is realized; and the popularization of a model detection technology in the industrial circles is facilitated.

The invention discloses a photovoltaic generated power short-term forecast-oriented cloud layer tracking and pre-warning method for a foundation cloud chart. The method comprises the steps of preprocessing cloud layer images; identifying a circle center of sun; defining and setting primary and secondary round warning regions; calculating motion information of pixel points of each cloud layer; judging whether the warning regions are accessed or not; and judging time of reaching a sun region by each cloud layer through calculating centripetal distances of the pixel points of the cloud layer. According to the method, the cloud layers of the foundation cloud chart can be better subjected to tracking, motion information analysis and pre-warning; the stability is high; and relatively good idea and method are provided for photovoltaic power generation process-oriented power short-term forecast.

The invention discloses a process-oriented air pollution event modeling method. The method comprises the steps of firstly, defining an air pollution event and identifying snapshots of the air pollution event at all moments according to air pollution standards; and then performing modeling on the air pollution event from a process perspective according to a spatial relationship of the same air pollution event snapshots in a continuous time sequence, thereby obtaining an air pollution process-based model. According to the modeling method provided by the invention, time and spatial information of all stages of the air pollution event can be intuitively obtained; association of air pollution events with the surrounding geographic environment and special events can be assistantly comprehended; and guidance is provided for exploring causes for the air pollution event and policies.

The present invention is aimed at high-level languages, based on the BNF paradigm, driven by the LR algorithm in the compiling principle or other bottom-up compiling algorithms, and generates corresponding flowcharts through grammatical analysis, flowchart splicing, and structural adjustment. The generated flow chart has a beautiful structure, a good description of various logical structures, and is suitable for many high-level languages.

The invention discloses a big data ETL dispatching system, capable of supporting visualization and process-oriented implementation. The system is achieved based on a B/S architecture and comprises a big data assembly operation unit, an ETL operation management module, an ETL dispatching management module, a system management module and an operation configuration database, wherein the ETL operation management module, the ETL dispatching management module and the big data assembly operation unit are mutually independent and do not influence each other. According to the invention, complicated backstage operations are avoided effectively; the development rate and efficiency of ETL are greatly increased; and cost for enterprise project implementation is reduced.

The invention relates to a method of information extraction for ocean eddy evolution process and belongs to the technical field of ocean information. The method is mainly applied to extract detailed evolution process information of eddies automatically from an eddy tracking data set and, technically, includes: establishing a process-oriented hierarchical data organization model, abstracting and recording the evolution process information of eddies by process, event and scenario objects, tracing the eddy evolution process by depth-first graph traversal algorithm and the like, automatically extracting detailed spatial-temporal information of process, event and process interaction, explicitly expressing and recording the process information, originally implied in the eddy tracking results, into a spatial-temporal database, and providing effective technical and data support for the analysis and discovery of eddy motion feature and law.

The invention relates to a method for interactive and virtual simulation of a combustion process. The method is oriented to a ceramic roller kiln. With the ceramic roller kiln combustion modelling technology, the visualization technology, the virtual reality technology and the numerical calculation technology taken as the core of the method, and VC++ and OpenGL graphics library taken as implementation tools, the method is used for realizing the interactive and virtual simulation of the combustion process in the ceramic roller kiln. Specifically, the method comprises the following steps: 1, an implementation environment is established; 2, the ceramic roller kiln is subjected to three-dimensiontal virtual modelling and displayed; 3, the ceramic roller kiln is subjected to combustion visualization modelling based on a particle system; 4, panoramic and local interactive three-dimensional travellings are made in a combustion space in the ceramic roller kiln; and 5, the three-dimensional dynamic visualization of the combustion process in the ceramic roller kiln is realized. By introducing the visualization technology in a research into the combustion process in the ceramic roller kiln, the invention can ensure that the analysis is more straightforward and in-depth. The invention has the characteristics of good virtual reality, excellent interaction and high practicability.

The invention discloses a high-density oriented strand board with the density more than or equal to 0.8g/cm<3>. The high-density oriented strand board is obtained by stacking and hot-pressing; the temperature for stacking and hot-pressing is higher than or equal to 120 DEG C but lower than or equal to 160 DEG C; the ratio of the time for stacking and hot-pressing to the thickness of the high-density oriented strand board is within the scope of 80-120; and the ratio is counted by s/mm. The high-density oriented strand board disclosed by the invention can select wider pressure adjusting scope; the limitation to the upper pressure limit in continuous hot-pressing is avoided; the quantity of water from adhesives and wood shavings converted into gas is reduced; the detention of the gas between the wood shavings is reduced; the generation of the board explosion phenomenon is avoided; and meanwhile, the hot-pressing time is prolonged, the density of the processed oriented strand board is increased and the mechanical property is increased. The invention further discloses a processing method for the high-density oriented strand board, a boxboard based on the high-density oriented strand board and a processing method thereof.