15 results about "Process efficiency" patented technology

The application relates to the technical field of automation equipment, aims to solve the problem of how to improve the process efficiency of a cleaning device, and provides a cleaning module and a cleaning device. The cleaning module comprises a dust sticking film, a material discharging assembly, a material collecting assembly, a dust sticking assembly and a gravity rod. The material discharging assembly comprises a first driving element and a material discharging shaft, one end of the dust sticking film is wound on the material discharging shaft, and the first driving element is in transmission connection with the material discharging shaft. The material collecting assembly comprises a second driving element and a material collecting shaft, one end of the dust sticking film away from the material discharging shaft is wound on the material collecting shaft, and the second driving element is in transmission connection with the material collecting shaft. The dust sticking assembly is in contact with the dust sticking film, and the dust sticking assembly is used for cleaning the surface of a target piece. The gravity rod has a starting position and a completion position which are opposite in the vertical direction, and the gravity rod can reciprocatingly ascend and descend in the vertical direction to descend from the starting position to the completion position or ascend from the completion position to the starting position. The application has the beneficial effect of improving the process efficiency of the cleaning device.

This invention discloses a method for cross-production line issue volume entrustment processing and PDCA closed-loop reconciliation management. It achieves full-process control of issue volumes from application, processing, confirmation to final destination through a Plan-Do-Check-Act cycle. The system binds full-dimensional data of the entrusting and processing parties, automatically reconciling changes before and after processing, solving the pain points of information asymmetry and unclear reconciliation in traditional models. Simultaneously, it improves process efficiency through front-end color-coded status differentiation and one-click filtering. This method is applicable to multi-unit collaborative metallurgical production lines, significantly improving the standardization and traceability of issue volume processing. This invention has been practically implemented in state-owned steel plants.

The present application relates to the technical field of intelligent control, and especially relates to an intelligent control system for a freeze-drying process based on an intelligent algorithm, which comprises an acquisition module, a freezing adjustment module, a primary adjustment module and a secondary adjustment module.The present application accurately identifies the temperature of a board layer after incomplete freezing by means of a double criterion of a freezing center temperature and a temperature drop trend, adjusts relevant preset process conditions after calculating a drying efficiency deviation and determining an abnormal type by using a preset efficiency interval, and independently diagnoses and analyzes stagnation and overheating out of control based on the time sequence correlation of a moisture content drop rate and a center temperature rise rate, traces back to a previous freezing defect when secondary drying is normal but overtime is not up to standard, and proportionally retreats the temperature of the board layer according to a freezing defect degree, thereby effectively solving the problem that process efficiency and product quality stability are difficult to balance due to reliance on artificial experience, stage fragmentation and lack of dynamic feedback.

The present application relates to composite oil phase storage tank technical field, specifically to a kind of storage tank for composite oil phase production, including storage tank, the top and bottom of the storage tank are respectively provided with feed inlet and discharge pipe, the inner cavity of the storage tank is connected with stirring rod, the top outer wall of the storage tank is installed with motor one, the output end of the motor one is connected with stirring rod key, the bottom of the storage tank is detachably installed with forming box, the forming box is connected with through pipe, and the through pipe is communicated with discharge pipe through high-temperature-resistant and corrosion-resistant connecting pipe, valve is provided on the discharge pipe, preliminary forming mechanism is provided on the forming box, and the composite oil phase can be moderately shaped in discharging stage, to provide the feeding condition of form controllable, moderate flowability for subsequent processes, such as cooling solidification, granulation or emulsification, to improve overall process efficiency and product quality consistency.

The present application relates to a method for predicting the performance of a Fluid Catalytic Cracking (FCC) unit to optimize the operation of a FCC, which is essential for producing liquefied petroleum gas (LPG), propylene and naphtha, for example. The technical issue addressed herein is the difficulty in accurately predicting the yield, due to operational variables and catalyst deactivation, which affect the process efficiency. In this sense, the method includes: pre-training a model based on simulated data (BD_FCCSIM); refinement based on actual historical data (BD_Histórica); fitting the model to consider process variables and catalyst properties; validation with error and correlation metrics; and implementation in a dynamic monitoring system that automatically adjusts the operational conditions. Such hybrid model, which combined physics and neural networks, provides accurate predictions and enables real-time adjustment, thereby enhancing the efficiency and adaptability of the FCC process in response to the market demand and operational conditions.

The present application relates to a kind of short process nitriding process of ASTM 4140 steel, on the basis of considering multiple nitriding layer thickness main influencing factors in nitriding process, theoretical thickness function of pre-nitriding layer is built, as the basis of nitriding parameter regulation in pre-nitriding process, the accurate control of nitriding layer thickness in pre-nitriding stage can be realized.In addition, the relationship between the theoretical thickness of pre-nitriding layer, the theoretical thickness of secondary nitriding layer and the target nitriding layer thickness is determined through experimental research, thereby providing the basic principles for accurate control in the nitriding process.Using the short process nitriding process of the present application, the pre-nitriding in the high temperature tempering process is completed simultaneously, so it does not bring additional process time increase, and due to the presence of pre-nitriding treatment, the subsequent conventional secondary nitriding treatment is laid, so that the process time of secondary nitriding treatment is shortened by more than 10h, and the process efficiency is improved.

The coating bar according to this disclosure comprises an assembly of units, making it easy to extend or shorten the length of the coating bar. Therefore, it can be used to manufacture diaphragms of different sizes. Furthermore, the coating bar according to this disclosure includes a third portion having a cylindrical tube shape capable of changing position; thus, the coating pattern can be changed by adjusting the position of the third portion within the coating bar without replacing the coating bar in the coating apparatus, thereby improving process efficiency.

This invention provides a bonding die, a semiconductor device, and a method for forming a semiconductor device. In the bonding die, the bonding position between the second die and the first die is located within the opening of a dummy die. The dummy die forms a dummy structure on a first surface region outside the second die, while simultaneously defining the bonding region of the second die. The entire dummy die is bonded to the first die, which helps improve process efficiency and reduce costs. In the semiconductor device and the method for forming the semiconductor device, the second die is bonded to the first substrate corresponding to an opening in the dummy substrate. The dummy substrate forms a dummy structure around the second die, while simultaneously defining the bonding position of the second die. The entire dummy substrate is bonded to the first substrate. Compared to first bonding the second die and then bonding multiple dummy dies in the surrounding gaps, this method helps improve process efficiency and reduce costs.

The present application relates to the technical field of semiconductor processing, and discloses a delivery system and a diffusion furnace. In the delivery system, a gas inlet assembly extends along the axial direction of a process chamber of the diffusion furnace and is in communication with the process chamber. In the gas inlet assembly, a second gas inlet pipe is sleeved outside a first gas inlet pipe, and a delivery gap is formed between the second gas inlet pipe and the first gas inlet pipe. A gas outlet end of the first gas inlet pipe and a gas outlet end of the second gas inlet pipe are both close to a furnace door of the diffusion furnace. A first input line has one end in communication with a process gas source and the other end in communication with a gas inlet end of the first gas inlet pipe. A gas inlet end of the second gas inlet pipe is located on a side wall of the second gas inlet pipe and away from the furnace door. A second input line has one end in communication with a water source and the other end connected to the gas inlet end of the second gas inlet pipe. The delivery system can solve the problem that during the operation of the current diffusion furnace, a gas inlet line is extremely prone to blockage by boric acid, which requires frequent cleaning of the gas inlet line, resulting in severe impact on the process efficiency and an increase in labor and spare parts costs.

The application discloses an intelligent production line scheduling method and system, relates to the technical field of industrial scheduling, and comprises the following steps: in a multi-production line topology network, alternative devices capable of executing the same process flow are identified, and a schedulable path is constructed; a dynamic evolution curve is generated based on historical single-run data of the devices, attention weights are allocated to samples in combination with evolution trends, and a quantitative relationship among single-run duration, processing efficiency and energy consumption intensity under a current state is fitted; a logistics transfer cost is converted to a unified scale comparable to device energy consumption, and under the constraints of order timeliness, material continuity and device capacity, a cross-production line material scheduling scheme is output by iteratively solving a target of minimizing the sum of total device energy consumption and total scheduling cost.

Disclosed, in the present disclosure, is a pretreatment technology capable of increasing the amount of biogas produced in a downstream biogas production process, and improving process efficiency compared to a conventional pretreatment method, by pretreating an organic raw material, such as biomass or organic waste, by means of integration of thermochemical treatment and mechanical grinding.

The application is a retail store intelligent replenishment algorithm and process design, which is an important design and implementation basis for retail store inventory management and supply chain management, aims to improve the replenishment quantity accuracy and the replenishment process efficiency through big data integration and analysis, advanced prediction model and replenishment optimization algorithm, automatic process flow and other technologies, and finally optimizes the inventory turnover rate. The application relates to an optimized replenishment algorithm and a replenishment process of a retail store, and is mainly suitable for supermarkets, convenience stores, specialized stores and other retail sub-sectors.

The present invention relates to a method for predicting the performance of a Fluid Catalytic Cracking (FCC) unit to optimize the operation of a FCC, which is essential for producing liquefied petroleum gas (LPG), propylene and naphtha, for example. The technical issue addressed herein is the difficulty in accurately predicting the yield, due to operational variables and catalyst deactivation, which affect the process efficiency. In this sense, the method includes: pre-training a model based on simulated data (BD_FCCSIM); refinement based on actual historical data (BD_Historica); fitting the model to consider process variables and catalyst properties; validation with error and correlation metrics; and implementation in a dynamic monitoring system that automatically adjusts the operational conditions. Such hybrid model, which combined physics and neural networks, provides accurate predictions and enables real-time adjustment, thereby enhancing the efficiency and adaptability of the FCC process in response to the market demand and operational conditions.