11 results about "Automatic process control" patented technology

A method for monitoring a machining process in which tooth flanks of pre-toothed workpieces (23) are machined with a finishing machine (1) is disclosed. As part of the method, a plurality of measurement values are recorded while a finishing tool (16) is in machining engagement with a workpiece. Among them are values of a power indicator which indicates a current power consumption of the tool spindle during the machining of the tooth flanks of the workpiece. A normalization operation is applied to at least some of the measurement values or to values of a quantity derived from the measurement values in order to obtain normalized values. The normalization operation depends on at least one of the following parameters: geometrical parameters of the finishing tool, in particular its outside diameter, geometrical parameters of the workpiece and setting parameters of the finishing machine, in particular radial infeed and axial feed.

The present invention relates to a method for monitoring a machining process in which the tooth flank of a previously machined toothed workpiece 23 is machined using a precision machining apparatus 1. In the method, a plurality of measured values ​​are collected while a precision machining tool 16 is in machining engagement with the workpiece. These measured values ​​include the value of a power indicator indicative of the current power consumption of the tool spindle during machining of the tooth flank of the workpiece. A normalization procedure is applied to at least some of the measured values ​​or to values ​​of variables derived from the measured values ​​to obtain normalized values. The normalization procedure depends on at least one of the following parameters: geometric parameters of the precision machining tool, in particular its outer diameter; geometric parameters of the workpiece; and setting parameters of the precision machining apparatus, in particular the radial infeed and the axial feed.

This invention relates to a quality evaluation and automatic process control technology for PCBA welding scenarios, comprising: establishing a quantitative standard evaluation system for welding quality based on multiple performance indicators of the product; fusing multimodal sensor data with process parameters to construct a mathematical model; and optimizing processing parameters based on machine learning. Starting from the intelligent problem of PCBA welding process quality control, this invention proposes a quantitative evaluation system for PCBA welding quality, uses process modeling based on multi-sensor fusion of testing, innovatively introduces machine learning-based process parameter optimization methods, develops a PCBA welding prototype with online process control, achieves closed-loop automatic process optimization, and simultaneously solves the crucial data collection problem in big data analysis.

The embodiment of the invention provides an automatic system carrying path determination method and an automatic process control method. The determination method comprises the following steps: creating a virtual device corresponding to an original device in an automatic system according to a consumable receiving direction; based on the layout association relationship of the original equipment and the consumable receiving direction, constructing a layout connection diagram of the virtual equipment; based on the layout connection diagram of the virtual devices, a virtual carrying path between a first virtual device corresponding to a starting device in the carrying instruction and a second virtual device corresponding to a target device in the carrying instruction is determined, and the starting device and the target device are both contained in the original device; and analyzing the virtual carrying path into a real carrying path based on the corresponding relationship between the virtual equipment and the original equipment. Therefore, the correctness of the consumable direction in the carrying process can be ensured, and the test failure probability is reduced.

The application discloses a kind of rectangular box automatic sleeve machine and sleeve method, and the quick unfolding of leather cover is realized by mechanical automation structure, positioning transportation and accurate sleeve, to meet the automation needs of rectangular box outer packaging.The equipment modular design mainly contains rack part, leather cover opening mechanism, horizontal frame, leather cover sleeve mechanism and installation mobile frame etc..Method is: first, the leather cover is opened by opening mechanism;Then horizontal frame moves to specified sleeve position;Box body is pushed into predetermined position again;Finally, drive sleeve mechanism to descend, and the unfolded leather cover is sleeved into box body.Motion execution mechanism is driven by mechanical engagement, pneumatic or vacuum suction etc..The machine realizes whole automatic process control, and also sets up quick change module, realizes the quick processing of different specifications box and leather cover, and takes into account versatility.Overall, the equipment effectively integrates accurate execution mechanism and quick response module, and can efficiently and automatically meet the needs of small batch production of rectangular box.

The application provides a kind of bar rolling temperature determination method, device, electronic equipment and medium, related to metallurgical automatic process control technical field, the method obtains the rolling information in the bar rolling process, rolling information includes multiple rolling temperatures, and the temperature acquisition time corresponding to each rolling temperature one by one, according to the position of bar, determine temperature control time, determine the target time range corresponding to the temperature control time in multiple preset time range, and determine the target temperature of the rolling temperature in the target time range of temperature acquisition time, finally, according to multiple target temperatures, determine the control temperature corresponding to temperature control time. Can be more accurately determined the control temperature corresponding to temperature control time when bar rolling, to improve the accuracy of temperature control when bar rolling.

The invention discloses a synchronous grouting electroosmosis enhancing device and method for shield tunneling, and belongs to the technical field of underground engineering, the device is integrated at the shield tail of a shield tunneling machine, and the device comprises a grouting system, an electroosmosis system and an intelligent control system. The grouting system is used for injecting grout into an annular gap between the shield tail and the tunnel segment; the electroosmosis system establishes a direct-current electric field in the slurry and the adjacent soil body through a first electrode, a second electrode and a direct-current power supply which are arranged at the tail end of the shield tail so as to accelerate dehydration and solidification of the slurry; and the intelligent control system cooperatively controls the grouting and electroosmosis processes according to the real-time working condition parameters. The method is based on the device, a direct-current electric field is applied while or after grouting, water is promoted to migrate directionally, grout solidification is accelerated, and automatic process control is achieved by monitoring grouting pressure and electroosmosis current. The method can effectively improve the early strength of the slurry, inhibit the floating and displacement of duct pieces and reduce stratum settlement, and is especially suitable for shield tunnel construction in soft stratums.

This invention discloses an automated process control system for ceramic coatings with prebaked anodes designed for oxidation prevention, relating to the field of spraying control technology. The system includes a prebaked anode spraying pretreatment module, a spraying fluctuation monitoring module, a spraying fluctuation correction and optimization module, and a spraying post-treatment module. This invention uses an automated spraying robot to spray prebaked anode carbon blocks. Based on the robot's built-in driver, it monitors the fluctuation of the end spray gun in real time, enabling preliminary judgment of spray gun movement fluctuations and determining whether to perform auxiliary judgment. Then, based on the results of the auxiliary judgment, it determines whether to perform robot spraying correction. Finally, the sprayed prebaked anode carbon blocks are transported to a flash-drying area for flash-drying before primer spraying. This improves the adhesion of the ceramic coating to the prebaked anode, solving the problem in existing technologies where inaccurate control of the ceramic coating affects the oxidation prevention effect of the prebaked anode carbon blocks.

The invention discloses an automatic process control detection method and system for a medical breathing machine, and the method comprises the steps: synchronously collecting the operation parameters of the breathing machine through a multi-sensor network, and carrying out the time alignment and normalization preprocessing, and fusing the operation parameters into comprehensive state data; time sequence feature analysis is carried out based on an improved long-short-term memory network, capture of respiratory cycle features is enhanced by introducing a periodic gate and utilizing the respiratory cycle features, and risk feature vectors are generated by fusing static parameters of a patient; adopting a particle swarm optimization algorithm to dynamically adjust control parameters such as inspiration pressure, respiratory rate and oxygen concentration by taking risk minimization as a target; and a weighted fusion strategy is utilized to comprehensively calculate a time sequence risk, a control deviation and a real-time abnormal index, an adaptive control instruction is executed according to a risk level, and continuous optimization is realized through a closed-loop feedback mechanism. The corresponding system integrates a data acquisition module, a time sequence analysis module, a decision control module and a man-machine interaction module in an embedded platform, and supports real-time data processing.

The invention discloses an underwater curtain wall adopting novel arc organic glass and an assembly process, and relates to the technical field of underwater curtain walls, the underwater curtain wall comprises a concrete base and a clamping groove formed in the concrete base, and the clamping groove is used for installing an arc organic glass curtain wall; an active pressurizing mechanism and a receding assembly are further arranged in the clamping groove. The active pressurizing mechanism comprises a fixed wedge block, a movable wedge block and a pressurizing spring, and the fixed wedge block is installed on the groove wall of the downstream face of the clamping groove through a receding assembly. According to the underwater curtain wall adopting the novel arc-shaped organic glass and the assembly process, through the synergistic effect of the active pressurizing mechanism and the receding assembly, the installation of the arc-shaped glass curtain wall is changed into an automatic process of mechanical control and step-by-step execution from passive adjustment depending on artificial experience; the core contradiction that insertion resistance and sealing reliability are difficult to consider in traditional installation is fundamentally solved, and unification of installation convenience, sealing reliability and long-term stability is achieved.

The invention relates to the technical field of smelting process automatic control in the metallurgical industry, and discloses an automatic smelting system based on AI deep learning. According to the invention, a closed-loop control system composed of the automatic execution unit and the AI decision control unit replaces a traditional high-risk operation mode depending on human experience, so that the safety risk and the labor cost are reduced; according to the system, real-time processing and intelligent decision making are conducted on component data through an AI large model, the alloy adding process depending on artificial experience is replaced, component fluctuation caused by artificial judgment differences is reduced, and the consistency and stability of smelting components are improved; meanwhile, the period from sampling to adding is shortened through automatic process control and dynamic optimization, the production efficiency is improved, and a reliable basis is provided for process optimization through complete recording of data in the whole process.