4 results about "Series production" patented technology

Production plant (10) for the series production of motor vehicles (100, 102) of different motor vehicle types and / or different model variants, with the following features: - the production plant (10) has several workstations (20, 22) at each of which at least one predetermined work process for the series production of the motor vehicle (100, 102) can be carried out, and - the workstations (20, 22) are interconnected so that, after completion of the work process at one workstation (20), the motor vehicle (100, 102) to be produced can be transported to the next workstation (22), and are characterized by the following features: - at least one workstation (20) has a receiving area (30) on which at least two load carriers (40) with components (42, 44) can be placed for the specified work process, - the workstation (20) has an upstream zone (60) in which a large number of load carriers (40) with components (42, 44) for the workstation (20) are kept, - the production plant (10) has a transport system (50) which is suitable for delivering the load carriers (40) with components (42, 44) to the receiving area (30) and for picking up empty load carriers (40') from the receiving area (30), and - the receiving area (30) is designed for the placement of load carriers (40) with different components (42, 44) for motor vehicles (100, 102) of different vehicle types and / or different model variants.

This invention relates to the field of anomaly diagnosis technology, specifically disclosing a method and system for tracing the root causes of production process anomalies based on a time-series knowledge graph. The method includes: acquiring time-series data from multi-source sensors on the production line, performing hierarchical dynamic updating graph modeling, and constructing a time-series production knowledge graph; capturing and classifying abnormal events according to preset anomaly identification rules, and using local abnormal events as precise trigger points; performing reverse causal backtracking on the time-series feature entities of the precise trigger points based on the time-series production knowledge graph to obtain a directed backtracking subgraph; performing dual-dimensional root cause quantification on the causal paths of the directed backtracking subgraph to obtain a suspected root cause sequence; performing multi-path hybrid weighted root cause quantification on the suspected root cause sequence to determine the final root cause location result; and outputting an intelligent traceability analysis report based on the root cause location result and relevant data across the entire chain. This invention improves the accuracy and efficiency of tracing the root causes of production process anomalies.

This invention belongs to the field of intelligent control technology, specifically a digital intelligent control method and system for the production process of water-dispersible granules. The method includes: establishing basic process parameters; analyzing the influence of raw material physicochemical properties and process linkages on the basic process parameters to obtain process control parameters; adjusting the basic process parameters to obtain production control parameters; and collecting time-series production data. The method determines whether the time-series production data meets the target quality indicators; if so, it maintains the current production control parameters; otherwise, it optimizes the process control parameters. Feature extraction is performed on the time-series production data to obtain production deviation features. A hierarchical correlation analysis method is used to analyze the linkage production relationship between the basic process parameters and the production deviation features, and the process control parameters are optimized to obtain process correction data. This invention can significantly improve quality stability, production efficiency, and capacity, achieve coordinated control of the entire production process, and reduce the incidence of chain production deviations.

This disclosure relates to the field of power system technology, and discloses a method, apparatus, equipment, and storage medium for medium- and long-term power planning based on the characteristics of next-generation coal-fired power plants. The method involves constructing a first multi-dimensional operational constraint for next-generation coal-fired power units based on multi-dimensional characteristics, including clean energy reduction, safety, efficient regulation, and intelligent operation. A second multi-dimensional operational constraint is constructed based on the requirements for multi-source coordinated operation. A target constraint system for next-generation coal-fired power units is then constructed based on the first, second, and comprehensive cost constraints. The initial installed capacity scheme is iteratively optimized using a target time-series production model combined with the target constraint system to obtain the target installed capacity scheme. Through the first multi-dimensional operational constraint, the four core characteristics of clean energy reduction, safety, efficient regulation, and intelligent operation are accurately covered, effectively solving the problem of inaccurate characterization of coal-fired power plants.