5 results about "Production department" patented technology

The invention discloses a disaster indirect economic impact assessment method based on multi-event superposition. According to the evaluation method, disaster situation data of a multi-disaster event in a target area is acquired, a simulation framework based on an improved inter-area dynamic input-output model is constructed, and conduction of economic loss in an industrial chain network is dynamically tracked by taking day as time resolution; an excess capacity mechanism is introduced into the model, only production departments in an affected area are allowed to operate in an overload mode under the drive of reconstruction requirements, and internal biochemical simulation of the post-disaster recovery process is achieved; in the simulation process, new external disturbance is forcibly superposed at each disaster occurrence time point, so that continuous disturbance simulation of multiple disaster events is realized, and cumulative pressure and nonlinear amplification effect generated by interruption of the recovery process are effectively captured. Through comparison of single-disaster reference scenes, extra economic cost brought by disaster superposition is quantified, and a scientific basis is provided for improvement of regional economic toughness.

According to the multi-chip burning system based on wireless synchronization and data management provided by the invention, all burning data files are uniformly placed on the remote server, and the burning equipment in the production department of each region is in communication connection with the remote server; a to-be-burnt file is obtained from a remote server based on the master control module and stored in a storage module of the burning device, a to-be-burnt chip is connected to an IO channel of the slave control module, and data burning operation on the to-be-burnt chip is achieved through the slave control module by means of the master control module. The burning data and the burning mode are unified through the cloud server, and after the model of the burnt product is specified, the main control module extracts the corresponding burning file read from the cloud server, and technical personnel do not need to manually store the data into the burning equipment, so that the efficiency is improved, the error probability is reduced, and the burning efficiency is improved. And the method is especially suitable for application scenes in which cross-regional production departments perform version updating at the same time.

The invention provides a raw material purchasing management system and management method, and relates to the field of purchasing management. The raw material procurement management system comprises procurement plan query, procurement order query, procurement process query, supplier management, procurement plan, procurement order and procurement warehousing. According to the method, special commodities are independently listed, planning is carried out in advance according to the experience of a production department, the problem that the special commodities cannot be supplied is avoided, purchase order creation personnel and modification personnel are associated, and confusion caused by the fact that the creation personnel cannot know the errors due to modification of the modification personnel is avoided.

This utility model relates to the field of extraction mixture measurement technology, and discloses an online multi-channel measurement device for the concentration of extraction mixtures. The device includes a housing, with a control cabinet fixedly installed on the left side of the housing. This utility model directly acquires mixture samples from different extraction tanks via an input mechanism, and immediately inputs these samples into a detection mechanism for concentration measurement at a constant temperature. The samples are then discharged by an output mechanism into the corresponding extraction tank, achieving rapid online measurement of the concentration of multi-channel extraction mixtures. Analysis is performed in a detection device next to the production line, effectively managing the number of samples, reducing workload, eliminating sampling time blind spots, and ensuring more accurate test data because the detection environment is consistent with the on-site environment. Relevant data can be quickly fed back to the production department, allowing production personnel to adjust the liquid volume immediately based on accurate data with minimal time lag, significantly improving product yield.

The invention discloses an enterprise digital factory equipment operation and maintenance management system and method, and relates to the technical field of operation and maintenance management, and the method comprises the steps: collecting equipment operation state data, inputting the data into a fault analysis engine, extracting a feature frequency, a harmonic distortion rate and a gradient change value, matching a fault feature library in a maintenance knowledge graph, and generating a fault code and a diagnosis report; generating and executing a production department plan adjustment instruction, a maintenance department maintenance instruction and a purchase department spare part scheduling instruction based on the contribution weight of each department; collecting the executed equipment parameters through the AR operation terminal, extracting the equipment efficiency index, and generating a maintenance record; and generating token excitation according to the equipment efficiency index and the contribution weight of each department, and distributing and returning a maintenance record through a block chain smart contract to update the maintenance knowledge graph. According to the method, the contribution weight is distributed by adopting the Sharpley value algorithm, so that mathematical publication quantification of the cross-department collaboration value is realized.