3results about How to "Realize automatic management and control" patented technology

This invention discloses an automated control method and system for the production of spandex spinning oil. The method uses a DCS (Distributed Control System) to detect and self-check the tank level, utilities, and pump / valve status. Upon successful self-check, production access is unlocked; otherwise, it is locked and an alarm is triggered. After unlocking, process parameters from the formula library are retrieved. Material is weighed via a variable frequency pump PID controller linked to a weighing sensor, and the feed flow rate is controlled by fuzzy PID, following the feeding sequence and timer intervals. The DCS issues a grinding command, collecting particle size data in real time; if the particle size does not meet the standard, the grinding time is extended until it does. Heating and stirring are initiated based on the mixing tank level signal, with timed temperature increases to the set value and then maintained. After the two processes are completed, the ground material is fed into the mixing tank for secondary stirring. Successful sampling triggers filling, with fuzzy PID controlling the filling flow rate. Once the liquid level is reached, the valve is closed, and a delayed cleaning process is initiated. After filling is complete, the entire line is shut down. This invention solves the problems of fixed PID control parameters and insufficient interlocking of all processes in traditional PID control methods.

The application relates to a project management method, device, computer equipment and storage medium. The project management method comprises the following steps: acquiring project data; splitting the project data, acquiring data segments, mapping the data segments, and acquiring mapping data; according to the type of the mapping data, merging the mapping data of the same type to acquire marking data; according to the type of the marking data, aggregating the marking data of the same type to acquire a first data unit; presetting a second data unit, comparing the first data unit with the second data unit, positioning problems, and acquiring a management result. Through acquisition of a large amount of project data, the project data is classified, aggregated and analyzed, automatic management of the project is realized, the data processing capacity of the system is enhanced, the data has more definite identification, the work efficiency is improved, and the problem positioning accuracy is improved.

The application discloses a commodity management method and device based on a large model decision, equipment and a medium, relates to the technical field of commodity management, and comprises the following steps: constructing a commodity state feature vector for the same batch of commodities in the vending machine based on the latest on-sale commodity information and the full-link inventory state information of the vending machine in a preset area; the commodity state feature vector comprises the on-sale inventory of the same batch of commodities in a single vending machine, the standard shelf life, the production date and the remaining shelf life; inputting the commodity state feature vector into a commodity decision model obtained by training a decision large model based on a Transformer architecture by using historical on-sale commodity information and historical full-link inventory state information of different vending machines, outputting a commodity management decision based on the feature vector, and performing a corresponding management operation based on the commodity management decision. The application can effectively manage commodities in different inventory states and on-sale states.