14 results about "Unit process" patented technology

The application relates to a sandstone processing system gradation and energy consumption double-target optimization method and system, and relates to the technical field of sandstone processing. The method comprises the following steps: acquiring sandstone processing units, processing unit processes and unit mapping relationships; analyzing the sandstone processing units, the processing unit processes and the unit mapping relationships to determine general process modeling; acquiring project unit parameters and project optimization requirements; inputting the project unit parameters into the general process modeling to determine a double-target optimization model and equipment operation boundaries; analyzing the double-target optimization model and the equipment operation boundaries according to a preset double-target optimization model to determine requirement weight groups; searching in the requirement weight groups according to the project optimization requirements to determine target optimization weights; and analyzing the double-target optimization model according to the target optimization weights and the double-target optimization model to determine an optimal configuration scheme. The application has the effect of improving sandstone processing efficiency.

This application provides a method for compiling a lifecycle unit process data list based on entity recognition. The method includes: acquiring a document to be recognized and a table name corpus; determining target tables in the document to be recognized based on table names in the table name corpus; based on an entity recognition model, recognizing entities in the target tables according to preset material names to obtain multiple target material names; determining a first target cell and a second target cell in the target table; if the second target cell meets the content acquisition conditions, acquiring the target data in the second target cell; and generating a lifecycle unit process data list for the target product based on the target material names and target data. This application can reduce data collection and processing costs and improve the efficiency and accuracy of data collection for lifecycle unit processes, thereby improving the efficiency and accuracy of compiling a lifecycle unit process data list based on entity recognition.

In a method of predicting an optimal process condition model for a semiconductor fabrication process, process parameter information of a unit process in the semiconductor fabrication process may be collected. First characteristics information of objects to be processed before the unit process and second characteristic information of processed objects after the unit process may be extracted. Process global uniformity (PGU) may be calculated using the first characteristic information and the second characteristic information. A data set of the unit process may be created using the process parameter information and the PGU. A virtual process environment function of the unit process may be created using the data set. The optimal process condition model of the unit process may be created using the virtual process environment function.

The invention discloses a product carbon footprint accounting method based on a multi-generation loop model, and the method comprises the steps: S1, determining an accounting object and a space-time range, defining a unit process, and defining a system boundary; s2, required data are collected and processed; s3, deducing step by step through different resource materials of the product, determining the resource quality of each generation of life cycle and the corresponding carbon emission, and totaling to obtain the total carbon emission of the product; s4, calculating the product service amount of each generation of life cycle, and constructing an allocation weight to complete inter-generation allocation of carbon emission; and S5, recalculating the carbon emission of the product according to the distribution result. Time parameters are introduced, the system boundary is expanded to infinite life cycles, and quantization of long-term environment profit and loss is achieved; according to the method, the product carbon footprint and the service amount are firstly allocated to the resources, and then the product is added and returned, so that an ILCA model which only considers single resource flow originally is expanded to a model which considers the parallelism of multiple resources, and the method can be applied to the carbon footprint accounting of the multi-resource product.

The invention belongs to the technical field of magnesia carbon brick production environmental impact evaluation, and relates to an environmental impact evaluation method for magnesia carbon bricks and waste magnesia carbon brick resource utilization products. Firstly, an evaluation object, a function unit and a system boundary are determined; dividing the life cycle of the evaluation object into a plurality of unit processes according to a system boundary, and establishing an input and output data list of each unit process; a corresponding characterization model is selected, a list analysis result is analyzed according to characterization factors of the model, and an evaluation result of the life cycle environmental influence is obtained and represented by environmental influence potential values of different environmental influence types; explaining the environmental influence result of the evaluation object and proposing suggestions according to the contribution degree of each element; then, investment cost, operation cost and environment cost calculation is carried out on several resource utilization paths; and finally, calculating the total income of different waste magnesia carbon brick resource utilization products, and analyzing the total economic benefit.

The invention relates to a system for exchanging process data related to industrial manufacturing or processing, in particular, to chemical manufacturing or processing is proposed. The system comprises at least one process data providing unit, a process data distribution unit, a local process data interface and an integration layer management plane. The at least one process data providing unit is configured for providing process data related to industrial manufacturing or processing, in particular, to chemical manufacturing or processing. The process data distribution unit is connected to a communication system of interconnected computer networks and to a corporate industrial manufacturing network and configured for providing process data via the communication system of interconnected computer networks and / or via the corporate industrial manufacturing network. The local process data interface is connected to the process data distribution unit via the corporate industrial manufacturing network and to a local industrial production network and configured for enabling an exchange of provided process data between the process data distribution unit and the local industrial production network via the corporate industrial manufacturing network. The system's integration layer management plane is configured for triggering the process data distribution unit and the local process data interface to exchange provided process data. The system enables an exchange of process data related to industrial manufacturing or processing in a network landscape in production industry and in particular in chemical industry.

The invention relates to the technical field of quality management, and discloses a silkworm and mulberry product full life cycle quality traceability system and method based on the Internet of Things, and the system obtains a first material total amount and an initial quality feature vector of a first node raw material, and obtains an active power time sequence curve of a second node processing device; the space mapping unit determines a theoretical characteristic value domain, a theoretical by-product proportion range and a theoretical energy efficiency interval of a produced product according to a physical property conversion operator; the judgment arbitration unit compares the second material total amount change rate, the product characteristic deviation degree, the by-product mass ratio and the unit processing power consumption, and physical property homology is confirmed. The traceability fracture hidden danger caused by physical property conversion is eliminated, the logic relation among the finished product, the by-product and the processing energy consumption is established, and the product quality is improved. Therefore, the management dimension is changed from single output counting to full constraint of the processing process, and the defense elasticity of the supervision network is improved.

This invention belongs to the field of green manufacturing technology for electromechanical products. It provides a method and system for assessing the carbon footprint of a product manufacturing process based on design features. The method establishes an adjacency attribute graph of design features, identifies multiple manufacturing unit process scenarios within a manufacturing process context, and determines the carbon footprint of the product to be manufactured within the entire manufacturing scenario based on the design features and carbon emission data generated by each manufacturing unit process scenario. When a design feature changes, the method determines the adjacency attribute graph of the modified design features, matches similar products from a case library based on the design feature adjacency attribute graph, extracts the manufacturing unit process scenarios corresponding to similar design features of the similar products in the case library to update the manufacturing scenario, and predicts the carbon footprint of the modified product to be manufactured based on the updated manufacturing scenario and the modified design features. This invention achieves accurate calculation of the carbon footprint and accurate prediction of the carbon footprint after design feature changes.

The present invention is applicable to the technical field of carbon reduction and energy saving, and provides an iron and steel product carbon footprint evaluation method and system. The method comprises: acquiring production process data of a product to be evaluated and energy flow data, determining production unit processes of said product on the basis of the production process data, and determining energy unit processes of said product on the basis of the energy flow data; on the basis of second input data and second output data of the energy unit processes, calculating, by means of an energy system carbon emission factor model, a self-produced energy carbon emission factor of said product; acquiring first input data and first output data of the production unit processes, and on the basis of the first input data and the first output data, determining a process coefficient of said product in a production process; and on the basis of the process coefficient, the self-produced energy carbon emission factor, the first input data and the first output data, obtaining, by means of a life cycle carbon footprint evaluation model, a carbon footprint evaluation result of said product.

This invention relates to a dynamic optimization method for the entire steel production process. The method first constructs a full-process production scheduling rule engine library. After feature preprocessing, an adaptive unit process structure and a fully connected aggregated process structure are generated through a general modeling framework. Then, a hierarchical optimization framework is built. The monthly plan fusion optimization model adopts a three-stage progressive optimization strategy of capacity balancing, production line division of labor, and order scheduling, combined with a daily scheduling fusion optimization model to achieve dynamic scheduling. Finally, an intelligent solution algorithm engine is used to match and solve the problem and output the results. This application can solve the problems of insufficient model generalization ability, process coordination failure, and difficulty in balancing solution efficiency and global optimization objectives in existing technologies. It improves the model's cross-scenario generalization ability and the degree of coordination of the entire process, significantly reduces solution time, and significantly improves order delivery rate and inventory control level.

In a resin sealing method, a temperature of a sealing mold for appropriately thermally curing a resin during sealing is taken as a normal setting temperature, and a temperature of the sealing mold higher than the normal setting temperature by a predetermined temperature is taken as a switching setting temperature. In a unit process in which a workpiece and the resin are carried into the sealing mold, sealed, and then carried out as a molded product, with respect to at least one of an upper mold and a lower mold, a setting temperature is changed to increase from the normal setting temperature to the switching setting temperature at a predetermined start timing to control the temperature of the sealing mold, and the setting temperature is changed from the switching setting temperature to the normal setting temperature at a predetermined end timing to control the temperature of the sealing mold.

The invention provides a catalyst design optimization method and device based on a high-throughput platform, and the method comprises the steps: preparing a plurality of candidate catalysts based on a plurality of groups of material proportions and preparation parameters; based on a high-throughput platform, measuring the desulfurization rate and the denitrification rate of each candidate catalyst; taking the material ratio and the preparation parameters of each candidate catalyst as input, taking the desulfurization rate and the denitrification rate of each candidate catalyst as labels, and training to obtain a machine learning prediction model; on the basis of the machine learning prediction model, an optimized desulfurization rate, an optimized denitrification rate, an optimized material ratio and optimized preparation parameters are calculated by using an optimization algorithm; and judging whether the optimization result meets the requirement or not, and if the optimization result does not meet the requirement, taking the optimized material ratio and the optimized preparation parameters as a new round of experimental parameters to repeat the preparation unit process. Manpower and material resources can be greatly saved, the research and development period of the catalyst material is remarkably shortened, and the scientific research efficiency is improved.

The invention relates to an index carbon reduction improvement potential analysis method based on a product carbon footprint, and belongs to the technical field of industrial equipment and methods. According to the technical scheme, the method comprises the steps of collecting specific indexes of a product carbon footprint specific unit process, matching a carbon emission factor to calculate a carbon footprint result of a final product of a product system, preliminarily screening out indexes with a high carbon footprint contribution rate, evaluation index unit consumption improvement potential values and evaluation index supplier improvement potential values, screening key carbon reduction indexes, and calculating the carbon footprint result of the final product of the product system. And calculating the index unit consumption and the achievable carbon reduction amount of the product carbon footprint after supplier improvement. The method has the beneficial effects that carbon reduction improvement potential analysis is carried out by aiming at the specific indexes of the specific unit process of the carbon footprint of the product, the feasibility of the indexes and material supplier screening are considered, and carbon reduction technicians can be helped to quickly determine key and feasible carbon reduction indexes.

The invention belongs to the technical field of carbon footprint evaluation, and discloses an aluminum foil product carbon footprint calculation method, which comprises the following steps: determining a declaration unit for aluminum foil product carbon footprint calculation, inputting a system boundary for aluminum foil product carbon footprint calculation, dividing product stages according to the system boundary, and dividing unit processes according to the product stages. Collecting a data list of materials required for producing the aluminum foil product according to the unit process and the declaration unit, selecting a carbon emission factor of the materials required for producing the aluminum foil product according to the data list of the materials required for producing the aluminum foil product, calculating a carbon footprint of the unit process, and summarizing the carbon footprint of the unit process to obtain a carbon footprint of a stage; according to the method, data of each material is associated with the unit process and the declaration unit, a bill of material and data, which should be collected in each unit process, of the aluminum foil product are listed, and the conditions of lack of items and missing items due to the difference of materials in different processes are avoided; and the carbon footprint of the aluminum foil product is comprehensively and accurately calculated.