10 results about "Group process" patented technology

The invention relates to an intelligent conference grouping method and conference grouping software, the method is used for a grouping subsystem in the conference grouping software, and the grouping subsystem is used for receiving a grouping instruction of a student to realize intelligent grouping; the conference intelligent grouping method comprises the following steps: S1, in response to a grouping instruction, obtaining an enrollment student set and characteristic attributes; s2, based on the grouping instruction and the enrollment student set, obtaining a corresponding target grouping number and the number of students of each category; and S3, generating an intelligent conference grouping result according to the number of students in each category and the target grouping number in combination with a preset sorting rule. In the existing conference grouping work, a worker needs to manually export a table and then manually group the table according to conditions such as gender, application type, payment condition and the like, and the whole process is time-consuming and labor-consuming; on the basis of the scheme, intelligent grouping and supplementary grouping can be carried out according to different conditions in different conference scenes, so that subsequent follow-up service is facilitated.

Disclosed herein is a method for monitoring the stability of process systems in semiconductor manufacturing using digital twins and neural networks. Digital twins of both individual and group process systems are created to identify sources of subsystem parameter changes over time and assess their precise impact on process performance. This method enhances operational efficiency, uniformity, and precision in complex semiconductor manufacturing processes.

The application discloses a system and method for process system matching and optimization based on digital twinning and neural networks. The method constructs digital twins of single and group process systems, and the group digital twins can guide the matching of the group process systems. The neural network trained by simulation data and measurement data can improve the calculation efficiency and realize accurate matching and compatibility of the process systems.

The invention provides a product grouping and sorting method. The grouping and sorting mechanism solves the problems that an existing grouping and sorting mechanism is not smooth in feeding process and low in machining efficiency in the grouping process. The packaging machine comprises a packaging machine body and a column dividing mechanism arranged at the front end of the packaging machine and used for conveying products, a first conveying line and a second conveying line which are used for conveying the products are arranged in the column dividing mechanism and the packaging machine respectively, and the speed of the second conveying line is larger than that of the first conveying line. The packaging machine is provided with a grouping mechanism used for grouping products on the first conveying line, grouping and packaging are separated, the products are grouped in advance through the grouping mechanism before packaging, and then the overall moving speed of the products is controlled by adjusting the first conveying line and the second conveying line. The first conveying line is always in a rotary feeding state, the whole product conveying process is smoother, and the grouping packaging efficiency is effectively improved.

The present application relates to the technical field of computer-aided process planning, and particularly relates to a closed-loop recovery method and system for multi-intelligent group process planning under manufacturing constraints, comprising: formalizing manufacturing constraints into quadruples with severity weights, driving the sequential execution and calling of constraint checking of feature extraction intelligent groups, macro process planning intelligent groups, specific process planning intelligent groups and process optimization evaluation intelligent groups; when there is a violation, locating a root cause intelligent group by traversing upstream from a constraint responsibility intelligent group along a directed dependency graph, determining a rollback target and injecting a repair prompt according to a severity weight and a rollback cost heuristic; verifying again after the rollback target intelligent group is regenerated, iteratively triggering root cause tracking and adaptive rollback until passing. The present application realizes accurate attribution and efficient closed-loop recovery under manufacturing constraint violations, improves constraint satisfaction rate and reduces rollback steps.

The present invention discloses a multi-process flexible production grouping and diversion device for iron-containing surrounding rock and its diversion method, which relates to the technical field of comprehensive utilization of iron-containing surrounding rock. The multi-process flexible production grouping and diversion device for iron-containing surrounding rock includes the ground floor of the factory building, the second floor ground of the factory building, the third floor ground of the factory building and the outer wall of the factory building. A rough concentrate transfer belt is arranged on the ground floor of the factory building, and a row of rock belts are arranged through the outer wall of the factory building. The top of the second floor ground of the factory building is provided with a second row of rock belts. The multi-process flexible production grouping and diversion device for iron-containing surrounding rock and its diversion method adopt an online adjustable multi-process flexible production grouping in the first-stage coarse crushing and dry separation system. Through the online adjustable multi-process flexible production grouping process, the stable quality and quantity production of the whole series are ensured. At the same time, the online adjustable multi-system flexible production grouping method is used, which not only ensures the stable quality and quantity of the whole series production of the comprehensive utilization of surrounding rock, but also ensures the stable and smooth production of the rock discharging in the open-pit stope.

Disclosed herein is a method for matching process systems in semiconductor manufacturing by utilizing digital twins and neural networks. Digital twins of individual and group process systems are constructed, with the group digital twin guiding the matching of process systems within the group. Neural networks, trained on simulation and measured data, enhance computational efficiency, enabling precise matching and compatibility.

The invention relates to a method for automatically breaking and grouping pipelines, which is characterized in that the pipeline breaking and grouping processes are automatically completed by using a plug-in, the operation efficiency is greatly improved, and after the automatic pipeline breaking is completed, a user can adjust the pipelines, maintain the original grouping scheme after the adjustment, and group the pipelines, flanges and other pipe fittings. Comprising the steps that all pipelines in a link are traversed, and if the length of the current pipeline in the link exceeds a length constraint, the current pipeline is broken into groups; if the length of the current pipeline is smaller than the length constraint, the current pipeline and the next adjacent pipeline are regarded as a whole, when the equivalent length of the whole in the length direction and the width direction meets the constraint, the whole serves as a grouping unit, and when the equivalent length of the whole in the length direction and the width direction does not meet the constraint, the last pipeline in the whole is cut off; and interrupting schemes of all links are calculated, and the scheme meeting the requirements is selected as the optimal scheme.

A method for monitoring stability of a semiconductor manufacturing process system using digital twinning and neural networks is disclosed. In the method, digital twins of both individual and group process systems are created to identify changes in subsystem parameters over time and assess their impact on the accuracy of process performance. The method improves the efficiency, uniformity, and accuracy of complex semiconductor manufacturing processes.

The embodiment of the invention provides a group management method and device for a trunking communication system. The method comprises the following steps: acquiring a group state of a group to which a terminal belongs in the trunking communication system; acquiring a group message initiated by a terminal or a system; judging whether the group state is matched with the message type of the group message or not; if yes, group management operation is carried out according to the group message, and the group management operation comprises at least one of group updating, group reading, scanning group setting and group state transition. According to the embodiment of the invention, the problem that different flows interfere with each other when the group management flows are concurrent in the prior art can be solved, different group flows are managed in a state machine mode, messages concerned by respective states are processed in different group states, state transition is realized by using the messages, and the normal functions and the normal group state machine are ensured.