12 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.

One aim of the present invention is to enable the size of the fractionation column located downstream of the hydrocracking section to be minimised and therefore to minimise the cost of the process without having an impact on the performance of the process in terms of yield and selectivity for kerosene produced, by virtue of implementing a step of separation at the outlet of the hydrotreatment step a) and at the outlet of the hydrocracking step c), in the same separation unit or in different units, enabling at least part, and preferably all, of the liquid hydrocarbon effluent resulting from said separation to be fed directly to the hydrocracking step c) without passing through the fractionation step.

The invention relates to a motor vehicle body having a passenger compartment (1), which is formed from an armored base compartment (2) and a mass-produced floor structure (22) connected to the underside thereof, and which has an armored front end wall (12) of the base compartment (2), on which a front vehicle body (23) is connected to the front. In order to provide a motor vehicle body which can be reduced in production complexity and production costs, the front vehicle body is designed as a mass-produced front vehicle body (23) and has a structural component which is directly connected to the mass-produced floor structure (22) in the lower region of the mass-produced front vehicle body (23) and a structural component which is connected to the armored front end wall (12) in the upper region of the mass-produced front vehicle body (23). The invention also relates to a method for producing such a motor vehicle body.

The invention discloses a product height anti-mixing automatic detection device and method, and relates to the technical field of anti-mixing detection, and the device comprises a code scanning gun, a flat vibration platform and a conveyor belt which are sequentially arranged along the moving direction of a product; an AOI detection lens is arranged above the flat vibration platform, a height detection device is arranged above the conveying belt, the height detection device comprises an upper infrared sensor and a lower infrared sensor which are arranged in parallel from top to bottom, and the height of the upper infrared sensor and the height of the lower infrared sensor are adjustable. The method solves the problems that in the prior art, height detection adopts a manual proportion extraction mode, all products are difficult to cover, appearance detection depends on manual visual inspection, the efficiency is low, missing detection is easily caused by fatigue and negligence, the full-detection requirement of batch production cannot be met, and the risk that unqualified products flow out exists; detection parameters need to be manually adjusted when products of multiple specifications are switched, operation is tedious, personal errors are prone to being introduced, and adaptability is poor.

The invention relates to a production process AI management method and system based on a time sequence production data stream, and the method comprises the steps: obtaining multi-source heterogeneous production data covering a whole production process, carrying out the preprocessing operation, and generating a standardized time sequence production data stream; analyzing the standardized time sequence production data flow, constructing an equipment health state feature vector and a production task coupling feature matrix, and further constructing a multi-dimensional production state feature map; inputting the multi-dimensional production state characteristic spectrum into a preset production process optimization model, performing global optimization reasoning, generating a preliminary scheduling adjustment instruction set, performing feasibility verification and conflict resolution, and generating a final scheduling adjustment instruction set; according to the scheme, intelligent management of the production process can be realized, potential bottlenecks and risk points in the production process are effectively identified, and the production efficiency and the resource utilization rate are improved.

The invention relates to a 3D printer (1) comprising a temperature-adjustable, thermally insulated build space (2) for an object (3) to be manufactured and at least one print head (4a, 4b) movable along at least two axes (x, y), which print head is capable of locally additive manufacturing of a powdered, pasty or liquid material to the object (3) to be manufactured, wherein the thermal insulation of the build space (2) comprises a cover (6, 6a-6c) in at least two parts, which is movable with the print head (4a, 4b), wherein at least one first part (6a) of the cover (6) is fixedly coupled to the movement of the print head along the two axes (x, y), and wherein at least one second part (6b) of the cover (6) is couplable to the first part (6a) by means of at least one releasable coupling means (7a, 7b).

The invention relates to anomaly detection in an installation, for example an industrial installation or an energy generation installation such as a wind turbine. Essentially, an autoencoder model is trained. This means that the user does not require expert knowledge in order to configure the anomaly detection, but rather it is enough to provide a volume of data which contains sufficient information about the normal behaviour of the machine to be monitored. In this way, the model can be trained and the future measurement data can be monitored in an automated manner. Series production repeatedly follows the same paths in the 2D plane of the PCA-reduced vectors. These paths and an identifiably continuously increasing deviation of the path from the pattern, for example caused by wear, can be detected quickly and reliably. The crucial difference from already known methods lies in the mechanism which the autoencoder uses to decide which time series sequences are anomalies. In this case, it is not the reconstruction of the autoencoder that is considered, but rather the hidden states, that is to say the vector generated by the encoder.

The invention relates to a method and an apparatus for positionally accurate processing of a material web in a web-processing process for the series production of products, in particular for producing membrane assemblies, wherein a shaped element (2) is introduced into the material web (1) or a shaped element (2) is applied to the material web (1), wherein multiple reference marks (3) per product are created when the shaped element (2) is being introduced into or when the shaped element (2) is being applied to the material web, and, in a subsequent process step for positionally accurate processing of the material web (1) relative to the shaped element (2) of a product, the position of at least one of the multiple reference marks (3) of this product and / or at least one of the multiple reference marks (3) of a following and / or a preceding product is detected.

The invention relates to a 3D printer (1) comprising a temperature-controllable, thermally insulated assembly space (2) for an object (3) to be produced, and at least one print head (4a, 4b) which is movable along at least two axes (x, y) and can add a powdered, pasty, or liquid material locally to the object (3) to be produced; the thermal insulation of the assembly space (2) comprises a cover (6, 6a-6c) which is in at least two parts and is movable with the print head (4a, 4b); at least a first part (6a) of this cover (6) is fixedly coupled to the movement of the print head along the two axes (x, y), and at least a second part (6b) of this cover (6) can be coupled to the first part (6a) by means of at least one releasable coupling means (7a, 7b).