38 results about "Process requirements" patented technology

The invention relates to the technical field of precision casting, in particular to a casting pouring design method and system based on deep learning. Automatic feature extraction is adopted, and geometric, topological and technological features are automatically extracted from an STP format three-dimensional model of a casting and a pouring system. And constructing a deep learning model, and learning a complex mapping relationship between casting features and a pouring system structure. According to the method, expert experience is fused, casting process rules and expert knowledge are embedded into an AI model through a pre-learning standard model and a structure library, and design reasonability and interpretability are improved. End-to-end generation is adopted, and full-process automation from new casting model input to complete pouring system three-dimensional model output is achieved. The design efficiency is remarkably improved, automatic design from a casting to a pouring system is achieved, and the traditional design period from several days to several weeks is shortened to the minute level. According to the method, the design quality is controllable, and the design is ensured to meet the casting process requirements by embedding a standard model, artificial experience and process rules.

The invention discloses an automobile production line parameter monitoring and early warning method and system based on dynamic threshold and multi-dimensional comparison. The method comprises the following steps: completing deployment of a sensor device for data acquisition and construction of a data set; constructing a model infrastructure, wherein an input layer synchronously receives a process card parameter vector, an equipment state vector and a process-equipment association feature vector; a time sequence segmentation learning mechanism is introduced into the LSTM layer, and data fragments are divided according to the equipment operation cycle; the model processing layer adopts a dynamic weight adjustment mechanism, and the Attention layer firstly endows features at different moments and in different equipment states with basic weights, and then carries out real-time calibration according to the abnormal contribution degree of each feature in historical early warning data; the output layer calculates and outputs the probability value of the actual parameter meeting the process requirement through a Softmax function; and taking a probability value output by the model as a core, establishing a hierarchical early warning response mechanism and matching a standardized process. And long-term accurate monitoring and efficient early warning of the parameters of the automobile production line are realized.

The utility model relates to the technical field of molds, and discloses a double-station double-color injection mold which comprises a movable mold and a fixed mold, a mold core assembly is arranged on the movable mold, the mold core assembly comprises a fixed mold core fixedly connected with a mold frame and a movable mold core horizontally sliding relative to the mold frame, and a demolding mechanism is arranged on the movable mold. Each demolding mechanism comprises a jacking component and a driving component, the jacking component is movably arranged relative to the movable mold and drives the mold core assemblies to be separated from each other to realize core pulling or to be closed and reset during movement, the driving component drives the jacking component to do reciprocating motion, and the demolding mechanism is arranged between each mold core assembly and the movable mold; each mold core assembly of the mold corresponds to one station, and each mold core assembly is provided with the demolding mechanism, so that the effect of step-by-step demolding according to process requirements is achieved, and the production efficiency is improved while the product quality is guaranteed.

The invention discloses a preparation method of a high-temperature lead-bismuth liquid alloy valve, and belongs to the technical field of preparation of special valves, and the method comprises the following steps: firstly, constructing an accessory library equipped with real-time detection equipment, and meanwhile, establishing an initial three-dimensional accessory model database associated with detection data; according to valve process requirements, valve group data are called, assembly constraint verification is completed, and a three-dimensional target model and assembly process parameters are automatically generated; and finally, automatic assembly control logic is issued, and an execution unit is driven to complete automatic welding machining. The full-process data closed-loop management and control from accessory warehousing to finished product assembling are realized, the problems of data splitting, poor traceability and easy inflow of unqualified accessories in a traditional preparation link are solved, meanwhile, adaptation hidden dangers are checked in advance through digital verification, the limitation of manual design is broken through, the product percent of pass is greatly improved, the reworking cost is reduced, the production efficiency is improved, and the production cost is reduced. And a reliable basis is provided for high-quality preparation of the high-temperature lead-bismuth liquid alloy valve.

The application belongs to the technical field of process control, and particularly relates to a multi-spindle machining task dynamic distribution method and system, which comprises the following steps: obtaining running state data of each spindle, determining a load parameter and a fatigue risk parameter; determining an overloaded spindle and a candidate replacement spindle according to the load parameter and the fatigue risk parameter; screening a target task meeting a process switching condition, matching a process requirement parameter with a carrying capacity parameter, and generating a task distribution relationship; determining a load balance index according to the task distribution relationship and completing adjustment; and determining a target spindle according to the target task distribution relationship and executing task distribution. The application can take into account the spindle load state, fatigue risk and task completion time limit, and improve the rationality of task distribution and the stability of system operation.

This invention relates to the field of mechanical manufacturing technology, and discloses a method and system for automatically selecting and designing molds for retaining rings and spring machines. The method includes: obtaining the basic parameters of the retaining ring to be processed, and determining the final machine model that meets the requirements of each processing stage based on the basic parameters; calculating the width-to-thickness ratio based on the width and thickness of the retaining ring to be processed, and determining whether it meets the requirements for fan-shaped processing based on the width or width-to-thickness ratio; if it meets the requirements for fan-shaped processing, determining the inner arc angle of the fan-shaped cut based on the basic parameters of the retaining ring to be processed and the final machine model; if it does not meet the requirements for fan-shaped processing, determining the punching angle based on the cut type and application, and selecting or designing a mold for the retaining ring to be processed. This invention achieves full automation and intelligence in the selection and design of retaining ring and spring machine molds by obtaining the basic parameters of the retaining ring, improving the efficiency and accuracy of mold design, and accurately matching processing parameters according to the specifications and process requirements of the retaining ring, reducing the reliance on the professional skills of operators.

This invention provides a design method for a four-way valve-controlled AGC cylinder for planar shape control in medium-thick plate rolling mills, relating to the fields of hydraulic control and mechanical design technology. The method first calculates the piston diameter of the AGC cylinder based on the maximum rolling force of the mill and the maximum design working pressure of the AGC cylinder. The calculated piston diameter is then rounded upwards to determine the piston diameter D. Next, based on the relationship between the steady-state retraction speed of the AGC cylinder and the piston rod diameter, and the piston diameter D, the piston rod diameter is calculated. A lower limit for the piston rod diameter is calculated based on the strength requirements of the piston rod during rolling. Finally, the final piston rod diameter d is determined by the larger of the calculated piston rod diameter and the lower limit. The AGC cylinder designed based on this invention is beneficial for meeting the process requirements of hot rolling planar shape control and improving production line efficiency.

The invention discloses a pipe conveying belt mechanism of a collaborative robot, and relates to the technical field of filling machines, the pipe conveying belt mechanism comprises a mounting frame, a conveying belt, a roller, an angle adjusting mechanism and a pipe withdrawing mechanism, the roller is arranged at one end of the mounting frame, and the angle adjusting mechanism is arranged at the other end of the mounting frame; the conveying belt is arranged on the roller and the angle adjusting mechanism in a sleeving mode, and the pipe withdrawing mechanism is arranged on one side of the mounting frame. Through the arrangement of the angle adjusting mechanism, the conveying angle can be accurately adjusted according to production requirements, so that the pipe conveying belt can adapt to the position and process requirements of different machining devices, the production flexibility is improved, the workload of manually adjusting the conveying angle is reduced, and meanwhile it is ensured that pipe fittings can be accurately conveyed to target positions.

This invention discloses a process verification method, device, storage medium, and industrial automation system, belonging to the field of automation control technology. The method includes: displaying judgment elements based on an interactive interface; configuring attribute parameters of the judgment elements according to preset process requirements; and, after running the program corresponding to the judgment elements, determining whether the operation process of the linear motor equipment meets the process requirements based on the attribute parameters of the judgment elements. This application achieves automated process verification of linear motor equipment based on visualized judgment elements. Compared with existing process verification methods that require code modification to cope with changes in process requirements, it has significant advantages such as more intuitive and convenient operation, higher debugging efficiency, and stronger universality.

The invention discloses a machining part process planning method and system based on a process knowledge base and an Agent-RAG architecture, and belongs to the technical field of intelligent manufacturing and precision machining. Aiming at the problems of insufficient intelligence, poor interpretability, low utilization rate of multi-source heterogeneous process data and the like of process planning in small-batch, multi-variety and customized production of machining parts, the invention proposes that a process knowledge graph is automatically constructed based on a large language model, and interpretable process planning is realized in combination with Agent-RAG. The method comprises the following steps: automatically processing a workflow based on process data of a large model, and completing OCR (Optical Character Recognition), cleaning, segmentation and automatic labeling of original process data; the method comprises the following steps: constructing a machining part process planning domain ontology DOPP, realizing end-to-end process knowledge extraction by adopting a LoRA fine-tuning large model, and forming a mixed knowledge base of a graph database and a vector database; and designing query decomposition and planning, self-adaptive retrieval routing and scheme generation three-Agent collaborative Agent-RAG strategies, and realizing decomposition, accurate retrieval and interpretable scheme generation of complex process requirements. According to the method, the labor cost is greatly reduced, the knowledge extraction and process planning efficiency, accuracy and interpretability are improved, and the method is suitable for machining part intelligent process design and agile manufacturing scenes.

This invention discloses a comprehensive collaborative energy-saving optimization method and system for industrial pumps, encompassing the equipment, system, and operating conditions. This method abandons traditional single-point or offline optimization, constructing a real-time dynamic optimization system with a closed-loop "perception-analysis-decision-execution" mechanism. The core of this method lies in: deploying intelligent edge nodes at the equipment level to achieve microsecond-level adaptive adjustment based on real-time operating conditions; building a digital twin model of the pump group at the system level to perform global topology and scheduling optimization; and analyzing process requirements at the operating condition level to generate a dynamic "optimal operating condition curve." Using a unique "system energy efficiency entropy" model as a unified optimization target, and leveraging a cloud-based collaborative optimization engine, it coordinates decisions across the three levels in real time, achieving optimal energy efficiency across the entire chain, from single pump efficiency and pipeline losses to process matching. This invention achieves real-time, adaptive, and globally optimal energy-saving effects.

The utility model discloses a tool for forming a molded part with a notch, which belongs to the technical field of molded part processing and comprises an upper module, a lower module is arranged on the lower surface of the upper module, an upper bump is fixedly mounted on the inner wall of the top of the upper module, and a lower bump is fixedly mounted on the inner wall of the bottom of the lower module. The inner side faces of the upper die block and the lower die block are each provided with a notch cavity. According to the tool for forming the molded part with the notch, the elastic extrusion device is arranged, and during demolding, an extrusion spring can provide buffering force, so that the molded part is gradually separated from the notch of the tool, the problems of cracks and deformation at the notch caused by too large instant external force are solved, and the demolding yield of the molded part is greatly increased; due to the adjustability of the elastic extrusion device, the tool can adapt to production of notched molded parts with different size and shape requirements, the extrusion force can be changed by adjusting the compression degree of the extrusion spring, and machining of the molded parts with different materials and process requirements is met.

This invention provides a grinding device for the mating surfaces of a clutch, belonging to the technical field of parts grinding equipment. The grinding device includes a base plate, a clamping grinding assembly, a crank rocker mechanism, a drive system, and a control system. This invention grinds the mating surfaces of the clutch shaft and the spiral sleeve using the clamping grinding assembly and crank rocker mechanism, replacing traditional manual grinding. This reduces the grinding time from 4-6 hours to two 1-hour grinding sessions, achieving the same grinding effect as qualified products and improving grinding efficiency. This device requires only one person to install and operate the parts, reducing manual labor. The drive and control systems enable standardization, ensuring consistent high-quality grinding of parts. All parts meet process requirements after grinding, with stable quality. The grinding time can be adjusted based on the grinding effect, allowing for targeted adaptation to individual parts, balancing batch stability and individual adaptability.

The present application relates to a kind of multi-station with RTCP and force control compensation function precision control system and its control method.The system includes execution path movement axis X, Y, Z, A and multiple independent workpiece rotation axis C, can realize multi-station synchronous operation and accurate compensation.Through setting compensation servo motor and multidimensional pressure sensor, system can real-time detection and adjust pressure value, realize closed loop force control compensation, ensure the mechanical stability and precision in processing process.Execution path movement axis A can be moved up and down along Z axis direction, and with execution path movement axis X parallel rotation, to adapt to different process requirements.System is enabled by RTCP function, planning interpolation path, executes force control compensation control etc., ensure that each station pressure value meets the set requirement, reach high-precision machining effect.The multi-station precision control system of the present application has significant advantages in improving machining precision, efficiency and automation level, and is widely used in precision machining field.

This invention discloses an intelligent import and execution control system for production scheduling in pipe fitting manufacturing processes. This invention relates to the field of intelligent manufacturing of pipe fittings and digital control technology for industrial production. It includes a production management module, a planning and scheduling module, a production MES module, a hardware SCADA monitoring module, and a quality management module. It also includes a digital twin mapping base for the entire pipe fitting manufacturing process, a multi-dimensional cross-validation and cyclical convergence module, a strongly coupled multi-objective dynamic iterative scheduling module for pipe fitting processes, and a dynamic closed-loop linkage module for execution, quality, and production scheduling. This intelligent import and execution control system for production scheduling in pipe fitting manufacturing processes, through a multi-dimensional cross-validation and cyclical convergence mechanism, achieves the coupling and adaptation of the optimized production schedule with pipe fitting process requirements, equipment capacity, and material supply cycles. It replaces the single basic data verification mode of existing technologies, avoiding the problem of mismatch between production schedules and on-site production capacity from the source.

This application relates to the field of industrial automation technology, specifically to a control method, motor control equipment, medium, and system for a moving submodule, aiming to solve the technical problem of how to improve the control efficiency of the moving submodule control process. To this end, after displaying an interactive interface containing workstation control elements, the element parameters of the workstation control elements are configured through the interactive interface according to preset process requirements and workstation distribution. When the control program corresponding to the workstation control element is run, the moving submodule performs corresponding workstation control operations based on the element parameters of the workstation control element. Therefore, it is possible to intuitively and flexibly configure the element parameters of the workstation control elements in different scenarios, effectively improving the configuration efficiency and control efficiency of the moving submodule control process.

The present application relates to the technical field of railway wagon manufacturing, and particularly relates to a method for adjusting and correcting a car body without a center sill structure. The method comprises: firstly adjusting and correcting the side wall deflection; then adjusting and correcting the cross sill; and finally adjusting and correcting the side sill deflection. The method for adjusting and correcting the car body without the center sill structure provided by the present application can reduce the inconvenience caused by the mutual influence of the adjustment and correction of each component, so that the deformation of the car body meets the process requirements.

The invention provides automatic oiling equipment and a using method thereof, and belongs to the technical field of plate oiling. Comprising the following steps of (1) plate hole plugging: setting production parameters of hole plugging equipment for hole plugging according to plate reference parameters such as the aperture, the plate thickness, the aspect ratio and the plate size, (2) slicking after plugging: setting relevant parameters required to be slicked after plate hole plugging according to the plate reference parameters before hole plugging, and setting the production parameters of the slicking equipment according to the relevant parameters required to be slicked after plate hole plugging. And oil coating before strickling is carried out according to process requirements. The automatic oiling function is uniform and periodic action of equipment and has the characteristics of stability and uniformity, compared with manual oiling, uniformity is not uniform, automatic oiling can completely improve the phenomenon, meanwhile, the automatic oiling function has the characteristics of uniformity and stability, it can be ensured that the oiling effect meets the compensation requirement, the situation that the oiling amount is too large or too small is avoided, and the production efficiency is improved. And compared with manual oil coating, the oil coating amount is more uniform, and the cost of the oil coating amount is better controlled.

The invention discloses a five-axis numerical control machine tool full-life-cycle management system and method, and particularly relates to the technical field of numerical control machine tool full-life-cycle management. Comprising the steps of obtaining structure parameters, assembly deviation, compensation records, machining results and maintenance records formed by a target five-axis numerical control machine tool in a design research and development stage, a production and manufacturing stage, an installation and debugging stage and an operation and maintenance service stage, and obtaining precision requirements, process requirements and delivery requirements corresponding to a to-be-executed machining task; performing time alignment, object alignment and stage attribution processing on the data of each stage, constructing a digital twin responsibility state diagram, and outputting a stage state node set, a stage inheritance edge set and a task responsibility constraint set; a digital twin responsibility state diagram fusing full life cycle stage data and task responsibility constraints is constructed, responsibility offset is solved based on a current operation state, candidate management paths are generated, a target management action is preferentially determined, and feedback write-back updating is executed.

The application provides an intelligent mechanical hand system and method for automobile assembly. A state feature vector set in a mechanical hand assembly process is obtained through multi-source assembly state data, an assembly task state segmentation model is constructed based on the state feature vector set, and then the current automobile assembly process is mapped to an assembly process stage sequence, and corresponding process requirement weight parameters are configured for each stage. A parameter mapping matrix is established according to the assembly process stage sequence, and then an adjustment factor of the joint motion parameters of the mechanical hand is generated. The joint motion of the mechanical hand is adjusted in real time according to the adjustment factor, and then a process stage deviation root cause analysis result is obtained, and the assembly task state segmentation model is updated synchronously. Based on the updated assembly task state segmentation model, the mechanical hand control parameters of the next assembly cycle are output. By adopting the scheme, adaptive control transformation of the mechanical hand action from fixed trajectory control to process stage adaptive driving can be realized in a dynamically changing automobile assembly environment.

This invention relates to a control method for preventing the aggravated deviation of the inlet looper strip in continuous unwinding, comprising the following steps: Step 1: Inspect the appearance, shape, and information of the coil being fed in advance; Step 2: Set the central section process speed according to the process requirements of the subsequent strip, simultaneously meeting the feeding and threading time of the subsequent strip and considering the running status of the subsequent strip shape; Step 3: Feed and thread the subsequent strip to the welding machine during the online operation of the preceding strip; Step 4: After the uncoiler is completed online, use the time of pulling the inlet looper at the central section speed to automatically decelerate to a stop, unload, and shear the strip; Step 5: Ensure that the inlet looper is filled to the set value when the inlet unwinding is about to be completed; Step 6: Monitor the deviation of the hydraulic cylinders of the inlet section #1 CPC and the looper CPC; Step 7: Ensure the longest possible coil change time at the inlet; Step 8: After the inlet looper is filled, ensure stable operation of the unit. This ensures stable and high-speed operation of the production line.

The present application belongs to the technical field of automobile parts installation, especially to a kind of automobile tail door electric supporting rod assembly device, in view of the problem that automobile supporting rod assembly cannot be detected after assembly in prior art, the following scheme is proposed, including machine case assembly, the machine case assembly: including telescopic frame, fixed frame, main machine case, wherein fixed frame is hingedly installed between telescopic frame, and rotates by motor control, motor is installed in telescopic frame, the top and bottom of main machine case are provided with support assembly, side storage groove is formed in the both sides of main machine case, and adjusting arm assembly is installed in the both sides of side storage groove, processor is installed in main machine case.The present application carries out active quantitative detection method after assembly, can accurately judge whether assembly state meets process requirement before assembly execution, effectively prevents quality problems such as assembly skew, press fitting jamming caused by unstable assembly, reduces assembly failure and repair cost.

This invention relates to a target temperature control system for the entire steelmaking process, belonging to the field of target temperature control. It includes a model parameter management module, a data preprocessing module, a temperature drop data processing module, a ladle temperature compensation module, a waiting process temperature drop calculation module, a converter target temperature calculation module, a converter blowing stop temperature calculation module, a refining station exit target temperature calculation module, a final refining target temperature calculation module, a liquidus temperature calculation module, a tundish target temperature calculation module, a ladle target temperature calculation module, a process status display module, and a historical data query module. This system implements closed-loop control of the target temperature throughout the entire steelmaking process, following a "target setting - predictive calculation - performance feedback - next process planning" model, ensuring that the tundish temperature management meets process requirements.

The invention discloses a construction method of a large water jet propulsion flow channel of a ship, belongs to the technical field of ship production, and solves the technical problem of poor production precision of an existing water jet propulsion flow channel construction method. The method comprises the following steps that 1, construction preparation and benchmark establishment are conducted, specifically, the construction preparation comprises drawing digestion, a construction process is compiled according to a drawing, and necessary tools are designed; the reference establishment specifically comprises the following steps: after ship body sections are closed, a ship body base line, a ship body center line and a shaft system theoretical center line are clearly calibrated again in a mounting area to serve as absolute references of all subsequent mounting work; 2, determining the technological requirements for manufacturing important parts and related structures of the runner; 3, the runner is manufactured in a segmented mode, and all the segments of the runner are spliced according to the technical requirements of the technology; and step 4, folding and positioning the slipway, rechecking the axis of the runner, and adjusting to meet the process requirements. The ultrahigh coaxiality of the propelling channel is ensured, and meanwhile, the extreme fairness and the structural integrity of the flow channel are ensured.

The invention discloses an intelligent batching method and batching system for electric furnace steelmaking, and the method comprises the steps: S1, constructing models: constructing a machine learning model, a smelting cost model, a scrap steel yield self-learning model and a scrap steel database; and S2, loop optimization is conducted, specifically, the initial steel scrap average price serves as a starting point, calculation of the optimal molten iron and steel scrap ratio, calculation of the optimal steel scrap burdening ratio and updating of the steel scrap average price are sequentially executed, whether the absolute value of the difference value of the predicted values of the two times of ton steel smelting cost before and after updating is smaller than a preset threshold value or not is judged, and a closed-loop optimization process is circularly formed. According to the method, the combination of the intelligent batching system with multiple collaborative models and the cyclic optimization process is constructed, and the algorithm of the machine learning model and the optimization calculation technology are combined, so that the dynamic optimization of the scrap steel proportion in the electric furnace smelting process is realized, and the optimal scrap steel batching scheme can be found on the premise of meeting all process requirements.

This invention discloses a method for manufacturing a high-temperature lead-bismuth liquid alloy valve, belonging to the field of special valve manufacturing technology. The method first constructs a parts library equipped with real-time detection equipment and simultaneously establishes an initial three-dimensional parts model database linked to the detection data. Then, based on valve process requirements, it retrieves valve assembly data and completes assembly constraint verification, automatically generating a three-dimensional target model and assembly process parameters. Finally, it issues automated assembly control logic to drive the execution unit to complete automated welding processing. This invention achieves closed-loop data management throughout the entire process from parts warehousing to finished product assembly, solving the problems of data fragmentation, poor traceability, and easy inflow of unqualified parts in traditional manufacturing processes. Simultaneously, it uses digital verification to proactively identify compatibility issues, overcoming the limitations of manual design, significantly improving product qualification rate, reducing rework costs, and increasing production efficiency, providing a reliable basis for the high-quality manufacturing of high-temperature lead-bismuth liquid alloy valves.

The invention provides a virtual spindle synchronous control method for a winding system and a related device, and the method comprises the steps: firstly obtaining technological requirement parameters of a spinning machine and hardware constraint parameters of the winding system, constructing a yarn guide reciprocating motion model based on the parameters, then further constructing an electronic cam table according to the model, and when the spinning machine runs, performing synchronous control on the electronic cam table; the rotation angle of the main transmission shaft and the actual position of the yarn guide are obtained in real time, the accurate target position of the yarn guide corresponding to the current rotation angle of the main transmission shaft is determined by combining an electronic cam table, and then the position error is obtained by comparing the accurate target position with the actual position. The error is corrected by adopting a compound control algorithm to generate a real-time control instruction of the servo motor, and finally the servo motor is driven to act through the control instruction to complete synchronous control of the virtual main shaft, so that the position error can be accurately corrected by combining the compound control algorithm, and the accuracy of the synchronous control of the virtual main shaft is improved. And the problem that the traversing precision is reduced due to abrasion of the mechanical cam is avoided.

The application discloses a kind of installation centering device and adjusting installation method of expansion joint, including measuring body and measuring scale, wherein, measuring scale is provided with size scale, is connected to the installation flange of exhaust manifold and the zero line of size scale is located the center line of the installation flange in vertical direction, measuring body includes perpendicular bottom plate and measuring pointer, is connected to exhaust valve flange, and the measuring pointer is located the center line of exhaust valve flange in vertical direction and is directed to measuring scale, according to the size scale on measuring scale that measuring pointer end is directed to, the actual center offset of the installation flange of exhaust manifold and exhaust valve flange is read, according to the deviation of actual center offset and standard value of process requirement, position adjustment is carried out to exhaust manifold assembly.The application is light and easy to operate, reaches the effect of improving measurement precision, improves the accuracy and job efficiency of centering adjustment, can satisfy the assembly process requirement of expansion joint installation.

The invention relates to the technical field of ball screw transmission, and discloses a ball selection method and system.The method comprises the following steps that the number of ball sets, the number of lead screw sets and the number of nut sets are determined according to the technological requirement of the model of a produced product, and set numbers are given to lead screws, nuts and balls respectively; calculating through a ball matching formula to obtain a ball group number of the to-be-judged ball; subtracting the group number of the zero-position ball from the ball group number of the to-be-judged ball obtained through calculation of a ball matching formula to obtain a ball group number difference value of the to-be-judged ball; if the ball group number difference value of the to-be-judged ball is within the ball group number range, selecting the to-be-judged ball; and if the ball group number difference value of the to-be-judged ball is out of the ball group number range, not selecting the to-be-judged ball. The problem that in the prior art, it is difficult to efficiently and accurately select the balls to achieve pairing with the lead screws and the nuts is solved.

The present application relates to the technical field of production line automation, and particularly relates to a production scheduling optimization method and device fusing equipment health degree, which evaluates equipment health degree by real-time collection of welding production line equipment operation parameters, and quantifies the process complexity of the to-be-scheduled vehicle model in combination with the welding process characteristics of the to-be-scheduled vehicle model; then a matching relationship between the equipment and the vehicle model is established by using an adaptability scoring model; finally, optimization matching is performed with the goal of maximizing the overall adaptability, a dynamic vehicle model-station production scheduling scheme is generated, and the scheme is updated according to the real-time state in the production process. The scheme matches and optimizes by constructing the adaptability scoring model of the two, so that the production scheduling scheme can dynamically adapt to the actual capacity of the equipment and the process requirements, thereby improving the rationality of equipment utilization and the stability of the production rhythm; in combination with the rolling update mechanism, the adaptability of the production scheduling system to changes is enhanced, and the optimization level of production efficiency and resource allocation is improved.